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ESTADÍSTICA (2010), 62, 179, pp. 59-85
© Instituto Interamericano de Estadística




   PROGRESS AND CHALLENGES OF MEASURING THE
  INFORMATION SOCIETY IN LATIN AMERICA AND THE
                  CARIBBEAN
                            MARIANA BALBONI
  Observatory for the Information Society in Latin America and the Caribbean
(OSILAC); Division on Production, Productivity and Management; United Nations
   Economic Commission for Latin America and the Caribbean (UN-ECLAC)
                          mariana.balboni@cepal.org

                            CÉSAR CRISTANCHO
  Observatory for the Information Society in Latin America and the Caribbean
(OSILAC); Division on Production, Productivity and Management; United Nations
   Economic Commission for Latin America and the Caribbean (UN-ECLAC)
                          cesar.cristancho@cepal.org


                                     ABSTRACT

The access to Information and Communication Technologies (ICT) became
fundamental for socio-economic growth, particularly in developing countries.
Indicators elaborated by OSILAC have shown that although the usage of some ICT
is growing widely, the level of internet usage in Latin America is still very far from
its use in developed countries. The present unequal access within and between
developing countries can be worsened if there are no policies to guarantee the
digital access to all or most sectors of society. Existing social and economical
differences can be both deepened by the lack of or deepening the access to ICT.
Measuring ICT access, usage and capabilities is therefore indispensable for
elaborating, monitoring and evaluating adequate and inclusive policy-design.

The objective of this paper is to present the “Progress and challenges of measuring
the Information Society in Latin America and the Caribbean ICT”. Special
attention will be given to the initiatives that have been undertaken to harmonize
indicators, and the results of the analyses carried out with the available statistical
information on ICT access and usage produced by OSILAC in order to monitor
ICT related policies in the region.
60                                            ESTADÍSTICA (2010), 62, 179, pp. 59-85




Key words

ICT Measurement, Information Society, Digital Divide, Latin America and the
Caribbean

                                    RESUMEN

El acceso a las Tecnologías de la Información y la Comunicación (TIC) se ha
convertido en un aspecto fundamental para el crecimiento socio-económico,
particularmente en los países en desarrollo. Los indicadores elaborados por
OSILAC han demostrado que aunque existe un incremento en el uso de algunas
TIC en América Latina, el nivel de uso de Internet se encuentra aún lejos del nivel
observado en los países desarrollados. La actual desigualdad en el acceso dentro y
entre países en desarrollo puede empeorar si no existen políticas para garantizar el
acceso digital a todos o la mayoría de los sectores de la sociedad. Las brechas
sociales y económicas existentes pueden ser profundizadas por la falta de acceso a
las TIC. La medición del acceso a, el uso de y las capacidades en TIC es
indispensable para la elaboración, seguimiento y evaluación de políticas diseñadas
de manera adecuada e inclusiva.

El objetivo de este trabajo es presentar los "Avances y desafíos de la medición de
la Sociedad de la Información en América Latina y el Caribe". Se presta especial
atención a las iniciativas que se han adoptado para armonizar los indicadores y los
resultados de los análisis realizados con la información estadística disponible sobre
el acceso y uso de TIC producida por OSILAC para el monitoreo de las políticas
relacionadas con TIC en la región.

Palabras clave

Medición de las TIC, Sociedad de la Información, Brecha Digital, América Latina
y el Caribe

1. Introduction

Measuring Information and Communications Technologies (ICT) access, usage
and capabilities is a key process to allow sound assessments and monitoring on the
advances of countries. It has become clear that this does not only apply to
advanced countries as ICT poses significant opportunities and challenges to the
developing world. The measurement of the phenomena and its dynamics becomes
indispensable in order to understand the development of today’s information
BALBONI et al.: Progress and challenges of measuring the information society…      61




societies and to support adequate policy-design and assessment. Particularly,
developing countries need to comprehend the dynamics of the ICT evolution and
revolution and its possibilities to support socio-economic development (Katz and
Hilbert, 2003; Schulz and Olaya, 2005).

Literature argues that equity can be increased by a broadened access and usage of
ICT, showing them as an opportunity for development. However, some indicators
elaborated by the UNECLAC Observatory for the Information Society in Latin
America and the Caribbean (OSILAC) [1] allow concluding that although the
usage of some ICT like mobile phone is growing widely, the level of internet use is
still very far from use in developed countries, and broadband access indicators
shows that Latin America is not growing as fast as advanced countries (Peres and
Hilbert, 2008). Therefore, in order to elaborate accurate policies for information
society, exercises to assess current dynamics and to establish the real digital divide
and stage of ICT evolution in countries of the region are a crucial step of the
process.

To present the current stage of the development of indicators for the information
society in Latin America and the Caribbean, and its importance for the
strengthening of public policies, this paper is structured as follows: Section 2
summarizes the background and progress in the measurement of ICT in the region,
including the development of the OSILAC Statistical Information System on ICT.
Special attention will be given to the initiatives that have been undertaken to
harmonize indicators, such as the “Partnership on Measuring ICT for
Development”, an inter-agency initiative in which OSILAC has been playing an
important role. In Section 3, the results of a few analyses carried out with the
available statistical information on ICT access and usage produced by OSILAC
will be presented, including a comparison of the Latin American context with
European countries. Section 4 discusses the importance of ICT indicators for the
developing and monitoring of digital policies in the region. Finally, Section 5
presents final conclusions and the challenges met in the process of measuring ICT
for development in Latin America and the Caribbean.

2. Measuring the Information Society

2.1. Background

Following the World Summit on the Information Society (WSIS), which took place
in two phases (Geneva 2003 and Tunis 2005), countries and regions were called
upon to develop tools for measuring and monitoring progress towards the
information society, including basic ICT indicators (Partnership, 2005a and
62                                            ESTADÍSTICA (2010), 62, 179, pp. 59-85




2005b). The Partnership on Measuring ICT for Development was then launched in
June 2004, as a multi-stakeholder initiative aimed at improving the availability and
quality of ICT data and indicators, particularly in developing countries. Currently
the members of the initiative are ITU, OECD, UNCTAD, the UNESCO Institute
for Statistics, the UN Regional Commissions (UNECLAC, UNESCWA,
UNESCAP, UNECA, the World Bank, EUROSTAT and UNDESA, who joined
the Partnership in May 2009. ECLAC is part of the Partnership Steering
committee, along with ITU and UNCTAD.

Among the main objectives of the Partnership is to identify a set of key indicators
(Annex 1) in the measurement of ICT (Partnership 2005b, 2008 and 2010). This set
of indicators [2] represents the result of discussions and agreements taken
regionally among National Statistical Offices, and globally among member
institutions of the Partnership. In the region of Latin America and the Caribbean,
the creation of OSILAC in late 2003 represented an important step towards
creating an environment that fosters the development of ICT indicators.

These core indicators were first presented at the Thematic Meeting of the World
Summit on the Information Society held in Geneva from 7 to 9 February 2005 and
endorsed by the Statistical Commission of United Nations (UNSC) its 38th session
in February 2007. Subsequently, the list has been reviewed by the same Partnership
in 2008 and 2010. The updated publication of the Core ICT Indicators was
presented at the 41th meeting of the UNSC, held in February 2010.

2.2. Current status and key challenges in ICT measurement

Over the last five years, the region has experienced significant development in the
production and compilation of harmonized statistics and indicators on ICT access
and use collected by means of National Household Surveys (NHS) and National
Business Surveys (NBS). It has also strengthened its regional capacities for the
formulation and design of questionnaires, data collection, harmonization of
indicators, and dissemination of methodologies. This process has been significantly
supported by OSILAC, which has maintained and expanded its collaboration with
the National Statistical Offices (NSO) of the region, having organized six annual
Workshops on Information Society Measurement in Latin America and the
Caribbean since 2004, as well as conducted other activities of direct technical
assistance and online support to the countries [3].

The adoption of the “Compendium of Practices on the implementation of ICT
questions in household and business survey” by the Statistical Conference of the
Americas (SCA) of ECLAC in 2007 has been a crucial point for the statistical
BALBONI et al.: Progress and challenges of measuring the information society…             63




development in this area. Elaborated by OSILAC, the updated document collects
and organizes information on the progress made by countries in the region from
2000 until 2010 [4]. Until 2004, it shows that only 15 countries in Latin America
had indicators on Internet access and only three on Internet use [5]; while
currently, 19 countries have data on Internet access and 16 on Internet use. In the
Caribbean countries, the available information is scarcer; until 2004, only two
Caribbean countries had indicators on Internet access and other two on Internet
use, while in 2010, 7 countries have data on Internet access and 6 on ICT use in
NHS [6]. Moreover, on NBS, currently 12 countries have incorporated questions
on ICT in Latin America and the Caribbean in the period. Graph 1 displays a
summary.

Graph 1. Percentage of countries monitoring ICT core indicators (revised list) in household
and business surveys in Latin America and the Caribbean.

Households surveys


               100%

                                       84%
     79%




                                                             35%
                                                                                    30%
                           16%
                                                  10%                    10%


  2000-2004 2005-2010 2000-2004 2005-2010 2000-2004 2005-2010 2000-2004 2005-2010

     Internet access         Internet use         Internet access         Internet use

                 Latin America                                The Caribbean
64                                                ESTADÍSTICA (2010), 62, 179, pp. 59-85




Businesses surveys



                                 53%




           11%                                                                 10%
                                                         0%

       2000-2004              2005-2010              2000-2004              2005-2010

                 Latin America                                The Caribbean




Source: OSILAC based on information reported by National Statistical Offices, December
2010. For household results it was considered only countries that had at least one indicator
of access and one of use. Number of countries in Latin America: 19. Number of countries
and territories in the Caribbean: 20.

Additionally, efforts have been made in order to coordinate activities with the
Working Group on ICT Statistics, created in the 3rd. Reunion of the SCA in 2005,
and with the United Nations Statistical Commission (UNSC), through the work
carried out with the Partnership on Measuring ICT for Development. This network
has been expanded and now includes other institutions that measure additional and
more specific indicators on ICT, such as ICT sector, ICT infrastructure, e-
education, e-government, etc. Among them are ministries of planning, of economy,
of education and of science and technology, as well as universities, think tanks and
firms in the ICT sector.

In the case of ICT-access variables, their collection and analysis started before the
creation of OSILAC, which has taken advantage of the results of the MECOVI
work (Program of the Improvement of Surveys and the Measurement of Living
Conditions in Latin America and the Caribbean) developed by ECLAC, the World
Bank and the Inter-American Development Bank. As a result of this project, most
countries have included ICT-access questions in their module of housing and
household information, specifically in the inventory of households’ durable goods
and services, which traditionally is answered by the head of the household. The key
variable in this module is the ownership of Internet.
BALBONI et al.: Progress and challenges of measuring the information society…     65




On the other hand, the collection of ICT-use variables does not have the same
coverage and frequency in all Latin American and Caribbean countries, being
almost non-existent in the latter. Some, like Paraguay, El Salvador and Honduras,
have incorporated ICT questions in their annual household surveys; others, like
Uruguay, Chile and Dominican Republic, inquire about ICT use only every two or
three years. In all cases, the most important outcome of this work is that the region
began to establish a set of internationally comparable indicators based on official
statistics.

Despite efforts on the elaboration of indicators, there is still a great challenge in
terms of measuring ICT impacts. Although indicators provide background
information on the advances in ICT access and use in the last years, it is well
known that it is not possible to establish isolated causal relationships among
variables of interest. This is a complex field that requires more analysis in the
region, especially in a thematic like this, where effects are usually transversal and
mutually crossed (Peres and Hilbert, 2008). An impact evaluation of a program
and/or activity involving ICT requires advanced techniques, including teams of
multiple disciplines that seek to quantify results explained by a real action, rather
than by any other random factor that has happened while the initiative was
developed.

The countries of the region must build capacity in this regard, which will impact
the strengthening of existing institutions, even knowing that any further budget
spent on ICT initiatives competes with other priorities that have not been covered
in the countries of the region, given the context of a scenario of scarce resources
with high opportunity cost.

2.2.    Statistical Information System on ICT

The implementation of the Statistical Information System on ICT [7], which is the
result of OSILAC efforts for the collection of ICT household information with the
collaboration of statistical offices, has been a major milestone in the development
of ICT statistics in the region. Through a single application, the system integrates
data on ICT access and use collected in NHS in Latin America and the Caribbean.

At present, the system provides statistical information on ICT for 17 Latin
American countries, with the exception of Argentina and Cuba, summing up 96
NHS databases collected and harmonized by OSILAC. Based on the information
provided by the system, it is possible to measure ICT-access-and-use gaps,
identifying their social, economic and demographic factors, seizing potential
targets for public policies in those populations that illustrate the greatest
66                                            ESTADÍSTICA (2010), 62, 179, pp. 59-85




disadvantages in the adoption and productive use of ICTs. As such, the system is a
powerful tool for the formulation and evaluation of public policies and ICT-related
strategies in the region.

There are 47 ICT variables available, including the core indicators (Annex 1), and
20 socio-economic variables, like household income, educational level, occupation,
sex and geographic area (urban, rural). Notice, however, that not all the variables
are available for every country. The database mainly covers surveys made from
2000 to 2009, and the micro-data available includes Bolivia, Brazil, Chile, Costa
Rica, Colombia, Panama, Ecuador, El Salvador, Guatemala, Honduras, Mexico,
Nicaragua, Paraguay, Peru, Dominican Republic, Uruguay and Venezuela.

This system stands out because it allows one to process the results of multiple
databases which are displayed in a single table, thus providing access to aggregated
results according to ICT- and socio-economic variables. Additionally, it is possible
to make comparisons over time, within countries, between countries and at regional
level. The system can be accessed by any person, by Internet. It is available in
English or Spanish and the results can be obtained in HTML or in Excel format. Its
target audience includes researchers, decision-makers, opinion leaders and students
and anyone interested in the ICT topic.

The harmonization of the variables has been carried out using a combination of
SAS base, SQL and macro codes and involves the creation of a master code of
categories of analysis of each variable of interest, and the normalization of lengths
and names of each variable of each survey. Currently, the data system integrates
the answers given by 10,099,693 interviewed people from 2,674,827 homes in the
last 9 years, in other words, an average of 1,009,969 persons per year. This sample
size can hardly be achieved by other surveys, pointing out that the system is an
information source of enormous potentialities for analysis and research on the
progress of the information society in the countries of the region. Some studies like
Grazzi and Vergara (2009) and Grazzi (2009) have used the data from this
statistical system to determine access and use of ICTs in the countries of the
region.

Finally, it is important to mention that OSILAC has focused the analysis in NHS,
but the region has other important sources of information like Population Censuses
and Administrative Records. In 2010, a new round of censuses has began, and a
considerable number of NSOs in the regional are including questions on ICT
access and individual use. These information should be shortly available, but they
are beyond the scope of this paper.
BALBONI et al.: Progress and challenges of measuring the information society…      67




3. Digital divide in Latin American and the Caribbean

Available data in the OSILAC Statistical Information System on ICT [7] illustrates
the current status and evolution of the digital divide both among and within Latin
American countries, which are the result of pre-existing economic and social
inequalities in certain dimensions such as income, education, gender, ethnicity,
geographic location, among others.

In order to illustrate the development of public policies focused on reducing the
digital divide, it is important to distinguish the existent gap in access to ICT goods
and services, and the gap in the individual use of digital tools. That is necessary
because what characterizes the social and productive organization of information
societies is the quantity and quality of digitalized information and communication,
and not the number of installed computers or other equipment (Peres and Hilbert,
2008). Therefore, public policies fostering digital inclusion should not only ensure
ICT access, but also empower people from different backgrounds to use ICT and to
make it relevant to their lives (Balboni, 2007).

The data collected from the NHS in Latin America have allowed the elaboration of
detailed analyses at national and sub national levels, indicating the existence of
relationships between levels of income, education and geographic location, in
regards to ICT access and use. In Latin America, the study by Grazzi (2009) is one
of few papers that have examined the determinants of Internet adoption and have
elaborated a cross-country analysis seeking to examine the correlation between the
socio-economic characteristics of Internet users and the different Internet activities
undertaken by individuals. The main findings of his study are: that Internet access
cannot be translated automatically into usage and that the digital divide is still a
reality inside the household – for example, women and older people are less likely
to use the Internet, even when access is provided.

Other studies, such as Grazzi and Vergara (2009); Razeto and Celedon (2009);
OSILAC (2007a), Regulatel (2007) and IDRC (2007), report that the access gap
increases as technology becomes more complex and expensive for the user. Thus,
the key determinants to the digital divide in Latin America and the Caribbean are
indeed socio-economic variables of income, education level and access to ICT by
households.

3.1.    The access gap

In order to examine the digital divide in ICT access in Latin America, both among
and within countries, we have considered the adoption of the technologies that
68                                             ESTADÍSTICA (2010), 62, 179, pp. 59-85




have acquired a greater role both at a household and at an individual level: the
computer and the Internet [8]. Although in general these technologies are present in
an increasing number of households, their level of penetration varies by geographic
area (urban or rural) and income level, among other characteristics.

Below are some results obtained through the OSILAC Statistical Information
System on ICT, which illustrate the relationship among the Internet access
determinants, and furthermore allow the identification of the major public-policy
issues in the region. These results were also compared with indicators from more
developed countries by means of Eurostat - Data Explorer [9] .

Computer ownership: to analyze the external gap among countries, we compared
11 states from Latin America and identified the existence of two main patterns of
household computer access dividing the countries into two groups (Graph 2): the
first comprising Uruguay, Chile, Costa Rica, and Brazil, with percentages of
computer access varying from 35% to 48%, and a second group formed by
Ecuador, Colombia, Panama, Peru, Paraguay, El Salvador and Honduras with
lower penetration, ranging from 10% to 23%. Compared with the European Union
(EU) the gap is considerably greater, given that household access to a computer in
this region is of 68%.

If we consider the internal gap within countries, which reflect differences
according to geographical area (rural and urban in Latin American countries) and
income, i.e., the divide is highly marked. In all countries of the region, household
computer access in urban areas is at least 10 percentage points higher than in rural
areas, and this difference can be up to 30 percentage points in countries with
known social inequalities like Brazil. Thus, the urban-rural gap is clear for all Latin
American countries examined, even those who have shown significant progress
towards the information society. In the case of the EU, the differences in access
between densely populated areas (71%), intermediate urbanized areas (71%) and
sparsely populated areas (60%) is not as marked.
BALBONI et al.: Progress and challenges of measuring the information society…                                                                69




Graph 2. Presence of a computer at home by zone in Latin America (11 countries) and in
the European Union (27 countries). (Percentages).

                                                                                                                               Densely‐populated area
                                                                                               Urban        Rural   Total
                                                                                                                               Intermediate urbanized area
 80                                                                                                                           80
                                                                                                                               Sparsely populated area
                                                                                                                                        71 71
 70                                                                                                                           70
                                                                                                                                                68
 60                                                                                                                                               60
                                                                                                                              60
      49
 50              46         47                                                                                                50
            48
                       42              39
 40        36                                                                                                                 40
                                  37             32
                                            35             29
 30                                                                  27         28                                            30
                                 24                                                       22
                      17                              23        23         20                                       18
 20                                                                                  19                15                     20
                                                                          13
                                                                                                15                       10
                                            8                                                                 11
 10                                                   6                                        5                              10
                                                                3                    2                        2          3
 0                                                                                                                             0
       URY        CHL        CRI       BRA        ECU      COL       PAN         PER       PRY          SLV         HND                    EU27
      2009       2009       2009       2009      2009      2008      2008       2009      2008         2008         2007                   2008

Source: author’s elaboration based on the OSILAC - ICT Statistical Information System
(www.eclac.org/tic/flash) and Eurostat - Data Explorer (http://epp.eurostat.ec.europa.eu/
portal/page/portal/statistics/search_database). For Latin America countries the information
is the latest available, and for the European Union countries the data used is from 2008, to
keep comparability.

The level of household income is also another determining factor for the presence
of computers in households in Latin America. As shown in Graph 3, the difference
in the presence of the equipment among the highest and lowest quintiles of income
is expressive in every country in the region, with exception of Uruguay, which
presents the better access distribution in relation to the household revenue: access
is higher than 40% in every quintile, probably due to public programs like the one
laptop per child (project Seibal). In Chile, Costa Rica, and Brazil, the percentage of
access in the highest quintiles of income (fifth quintile) varies from 63% to around
72%, while in the first two quintiles percentages varies from 6 to 30%. On the
other hand, in Paraguay, Panama, Honduras and El Salvador, computer access in
households from the fifth quintile does not exceed 41%, while in the first two
quintiles it is lower than 6%. In short, the revenue distribution is still the principal
determinant for the presence of a household computer in the region. The majority
of European countries reveal less inequality than Latin-American countries.
Unsurprisingly, the level of computer access in EU countries is much higher than
in Latin American countries in every quintile.
70                                                                                       ESTADÍSTICA (2010), 62, 179, pp. 59-85




Graph 3. Presence of a computer at home by income group in Latin America (11 countries)
and the European Union (27 countries). (Percentages) [10]

                                                                              Q5          Q4             Q3        Q2          Q1                        Quartile 4        Quartile 3
 100                                                                                                                                                     Quartile 2
                                                                                                                                                        100                Quartile 1
                                                                                                                                                                90
  90 
  80     72                    71                                                                                                                        80           75
  70                  63                      65
  60                                                      53                                                                                             60                57
          51           48 46                                          49           48
  50                            42                                                                                                                                              45
                         41
                        41                     41                                                 40          41
              38
  40                                                       32                                                             32          32                 40
               30                   28
  30                                               24                  26
                 20                                            20                   22             22
                                     18             16                  17                                     19
  20                                                            13                                  14                     12                            20
                                         11                               9             10                      11                         9
                                                      6           8                                    53         6          6
  10                                                                          4           4                           2          21            41
                                                                                              1                                                     1
     ‐                                                                                                                                                    0
           CHL          URY      CRI           BRA         COL          ECU          PER            PRY        PAN         HND          SLV                           EU27
          2009         2009     2009           2008        2008        2009         2009           2008        2007        2007        2008                           2008

Source: author’s elaboration based on the OSILAC - ICT Statistical Information System
(www.eclac.org/tic/flash) and Eurostat – Data Explorer (http://epp.eurostat.ec.europa.eu/
portal/page/portal/statistics/search_database). For Latin America countries the information
is the latest available, and for the European Union countries the data used is from 2008, to
keep comparability.

Internet ownership: the gap in Internet access in Latin American households is
even more influenced by income levels and geographical area than the computer
access divide. In relation to the external gap by geographical area it can be seen
that the tendency is repeated, with the characterization of a group of countries with
greater access, where only Chile, Uruguay, Brazil, and Costa Rica have levels of
Internet access higher than 15%. Moreover, the second group could be further
divided into two blocks of countries, the first one formed by Colombia, Panama,
and Peru, whose access levels vary between 10% and 13%, and another including
Ecuador, Paraguay, El Salvador, and Honduras, where Internet access does not
exceed 7% (Graph 4). On the other hand, Internet access in EU homes is at least
twice the level in Latin American countries. Even in the EU’s sparsely populated
areas, access is greater than all of Latin America’s urban areas.
BALBONI et al.: Progress and challenges of measuring the information society…                                                           71




Graph 4. Households with Internet access by zone in Latin America (11 countries) and in
the European Union (27 countries). (Percentages)

                                                                                                                          Densely‐populated area
                                                                                          Urban        Rural   Total
80                                                                                                                        Intermediate urbanized area
                                                                                                                         80
                                                                                                                          Sparsely populated area
70                                                                                                                       70       65
                                                                                                                                       63
60                                                                                                                       60                 60
                                                                                                                                              51
50                                                                                                                       50

40                                                                                                                       40
                                                                                     31           31           32
                                                                                          27            28          29
30                                                                         26                                            30

                                                       18                       18
20                                           15                  16                                                      20
                                                            12        13
                       10           11            10
                            6            7                                      7                        9          7
10   53       64                                                                                                         10
                                                                                           4
          0        0            1        1        0         1         0
 0                                                                                                                        0
     HND       SLV      PRY          ECU      PER      PAN       COL        CRI      BRA           URY          CHL                    EU27
     2007     2008     2008         2009     2009      2008      2008      2009      2009         2009         2009                    2008

Source: author’s elaboration based on the OSILAC - ICT Statistical Information System
(www.eclac.org/tic/flash) and Eurostat. Data Explorer (http://epp.eurostat.ec.europa.eu/
portal/page/portal/statistics/search_database). For Latin America countries the information
is the latest available, and for the European Union countries the data used is from 2008, to
keep comparability.

Considering the internal gap by geographical area, we can see that Internet access
in Latin American households is even lower in rural areas, mainly due to the lack
of network infrastructure, but also to lower income and educational levels. In the
last group of countries mentioned above, network access in rural areas is almost
non-existent, while in urban areas it reaches up to 11%. And in countries with
higher urban access, the rural gap is extreme. For example, Brazil and Chile stand
out as having the highest inequality in this respect. In rural areas, the access does
not exceed 4% and 7%, respectively, while in urban areas it goes up to 31% and
32%.

The internal gap in Internet access according to income follows a pattern similar to
that of computer access, the difference being that the penetration levels are
significantly lower. Graph 5 shows that even in countries with higher rates of
Internet access, like Chile Brazil and Uruguay, access in the first two quintiles does
not exceed 15%. In the case of Brazil, for example, the differences are extreme:
while 57% of households in the fifth quintile have Internet access, when it comes
to the first quintile (the most excluded) this percentage is a mere 3%. In countries
with lower internet penetration, like Paraguay, Ecuador, Peru, El Salvador and
Honduras, Internet access in the highest quintile reaches up to 24%, while in the
two first quintiles it practically inexistent.
72                                                                                                            ESTADÍSTICA (2010), 62, 179, pp. 59-85




At the same time, the gap in the Internet access between countries from the EU and
Latin America is huge, even higher than in computer access. Internet penetration in
households from the last quartile of EU countries (37%), which have the lower
incomes in that region, exceeds the penetration of the fifth quintile (the richest) of
most Latin American countries, with the exception of Chile, Brazil, Uruguay and
Costa Rica.

Graph 5. Households with Internet access by income in Latin America (11 countries) and in
the European Union (27 countries). (Percentages) [11]

                                                                                                Q5            Q4             Q3            Q2           Q1                 Quartile 4        Quartile 3
 100                                                                                                                                                                     100
                                                                                                                                                                           Quartile 2        Quartile 1
     90                                                                                                                                                                   90       84
     80                                                                                                                                                                   80
     70                                                                                                                                                                   70            67
           62
                        57
     60                                 51                                                                                                                                60
     50                                                                                                                                                                   50                 48
            37                                          36           38
     40                                                                                                                                                                   40                      37
                         31              29                                       27
     30          23                                                                                 22             21             24                                      30
     20           15          16              17         16                                                                                      16                       20
                                                                      13                                                                                     10
                    8           9               9          8                           7                 74
     10                                             6           44      5                  42                           6              6                                  10
                                    3                                        21                 0             21            210            200        2000        2100
     ‐                                                                                                                                                                     0
                CHL          BRA             URY             COL           CRI         PAN                PRY           ECU             PER            SLV        HND                   EU27
                2009         2008            2008            2008         2008         2007              2008           2008           2008           2008        2007                  2008

Source: author’s elaboration based on the OSILAC - ICT Statistical Information System
(www.eclac.org/tic/flash) and Eurostat. Data Explorer (http://epp.eurostat.ec.europa.eu/
portal/page/portal/statistics/search_database). For Latin America countries the information
is the latest available, and for the European Union countries the data used is from 2008, to
keep comparability.

With the information available at OSILAC it is possible to make additional
analysis on the access gap in households, but that was beyond the scope of this
paper, which aims to show that differences in income and geographical zone affect
both access to computers and the Internet, with a deeper impact in the latter. In this
way, the results confirm the premise that social and economical factors are still
determining internet access, particularly the level of income and geographical
location. Also, it demonstrates that the internal gap increases as technology
becomes more complex and costly for the user, such as the Internet.

In this sense, we can also see (Graph 6) that the gap in the adoption of new
technologies, such as Internet and broadband, is increasing between developed and
developing countries. While the number of Internet users in Latin American
countries went from 4% in 2000 to 33% in 2009, in EU countries the growth was
from 21% to 68% in the same period, showing that penetration differences between
both regions also grew from 17 to 35 percentage points. In the case of broadband
BALBONI et al.: Progress and challenges of measuring the information society…                                                                     73




access, the numbers from ITU demonstrate that while none regions had access to
the technology in 2000, in 2009 the penetration of broadband subscribers went up
to 25% in the EU region while in Latin American countries it did not exceed 6%.
We see then that even with the crescent access to ICT in Latin America, there is
still a long way to go towards closing the gap.

Graph 6. ICT penetration in Latin America and the Caribbean and in the European
countries (27 countries) [12] , in 2000 and 2009. (Percentages)

                              140 
                                                                                 124                  ALC         EU27              Difference
                              120 
 Number per 100 inhabitants




                              100                                          89 

                               80                                                                           68 
                               60                                    54 
                                            49 
                                                         45      42 
                               40       35                                  35                        33 35 
                                                        26                                                                                      25 
                                      15          18                                         17 21                                           19 
                               20                              12 
                                                                                        4                                               6 
                                                                                                                         0  0  0 
                               ‐
                                       2000        2009         2000       2009         2000            2009             2000            2009

                                      Landline telephones      Mobile subscribers            Internet users        Broadband subscribers
Source: author’s elaboration based on the ITU data “World Telecomunications Indicators
Database“ (2010), latest available revision.

3.2.                                 The usage gap

It is known that measuring access to ICTs is not sufficient to identify differences in
the potential socio-economic development of countries and their people. Access to
infrastructure is an initial step in closing the digital divide, but only the first and
most basic one. Therefore, explicit efforts should be made to understand the usage
gap, especially considering the ICT benefits for economic development, social
welfare, and the full participation of citizens in the information society.

In this way, to identify the limitations on the uptake of these technologies in
different groups in society it would be important to analyze ICT usage according to
age, gender and educational level, as well as to understand which are the main
activities carried out by these groups in different places of access, like the
household, school, work, commercial Internet-access facilities, etc.
74                                                                 ESTADÍSTICA (2010), 62, 179, pp. 59-85




In order to illustrate the digital divide on Internet usage in Latin America, a
comparative analysis was made using OSILAC data on Uruguay, Peru, Paraguay,
Panama, Mexico, Honduras, El Salvador, Ecuador, Costa Rica, and Brazil. The
variables analyzed where Internet usage by gender, activities undertaken and
access location. This information was also compared to numbers from the
European Union.

Internet usage by gender: The individual use of Internet varies considerably among
the Latin American countries analyzed, ranging from 41% in Chile (2009) to 11%
in El Salvador (2008). But within each country, the percentage of men and women
using the Internet seems to be fairly even, varying between one and three points in
most countries, with the exception of Peru, and Chile, where male access can
surpass female’s by up to 8 percentage points (Graph 7).

Graph 7. Internet usage by gender. Latin America (8 selected countries) and the European
countries (27 countries).

                                                       Male       Female         Total                    Male   Female Total
 70                                                                                                       70       67 
                                                                                                                       64
                                                                                                                        62
 60                                                                                                       60 


 50                                                                                                       50 
                                                                                              43  41 
                                                                                                    39 
 40                                                                                                       40 
                                                                    35             35  34 
                                                                           31           33 
                                                       31  29 
 30                    24 25    27  25      28 27 
                                                 26         28             27                             30 
                     23               24 

 20                                                                                                       20 
        12 11 
             10 
 10                                                                                                       10 


 ‐                                                                                                        ‐
       El Salvador   Panama     Dom. Rep.   Ecuador     Mexico        Peru          Brazil      Chile              EU27
          2008        2007        2007       2009        2009         2009          2008        2009               2008

Source: author’s elaboration based on the OSILAC - ICT Statistical Information System
(www.eclac.org/tic/flash) and Eurostat. Data Explorer (http://epp.eurostat.ec.europa.eu/
portal/page/portal/statistics/search_database). For Latin America countries the information
is the latest available, and for the European Union counties the data used is from 2008, to
keep comparability.

Panama is the only country where the female access exceeds male’s by two
percentage points. And, as expected, the percentage of individuals using the
Internet in the EU is more than twice higher than in Latin American countries, with
BALBONI et al.: Progress and challenges of measuring the information society…                                                                                       75




the exception of Brazil and Chile, where in any case the difference is superior to 20
percentage points. Neither does the EU region seem to display a pronounced
difference in Internet access by gender, given that 62% of its women and 67% of
its men use the Internet (in 2008).

Internet activities: Information-seeking and communication are the most frequent
Internet activities undertaken by individuals in all countries of Latin America and
other countries (Graph 8). However, the list of core indicators on Internet access
and use (Partnership, 2008b) no longer includes the option “to search for
information,” given that it is a nearly universal practice. In the case of the countries
analyzed, communication is the main activity undertaken by people in Latin
America, with percentages that vary from 19% (Panama) to 84% (Peru), but in
most of the countries they are higher than 50%. In the EU region, the use of
Internet for communication is universal (around 90%).

Graph 8. Internet activities undertaken by individuals in Latin America (8 countries) and in
the European Union (27 countries). (Percentages over the total number of Internet users ) [13]
                                                                                                                                               Communication
             Communication              Interaction with public authorities             Banking               Purchaising or ordering                    Chart Title
                                                                                                                                               Interaction with public authorities
 100                                                                                                                                           Banking
                                                                                                                                             100
                                                                                                                                               Purchaising or ordering
                                                                                                                                                         89
  90    84              84                                                                                                                    90
                                         79
  80                                                                                                                                          80
  70                                                                         64                                                               70
                                                         61
  60                                                                                                                                          60
                                                                                            48                                                                           50
  50                                                                                                                                          50              46 47

  40                                                                                                                                          40

  30                                                                                                                          23              30
                             18 16 18         1816                 19                                           19
  20                                               15                                                                                         20
                                                              10        10
  10         7 9                                                                        6             7
                    4                                                             3 2             3       3                                   10
                                                                                                                     0 1 1         1 0 1
  ‐                                                                                                                                            0
             Peru            Brazil           Chile       Dom. Rep.           Mexico         Ecuador              Panama       El Salvador                     EU27
             2009            2008             2009          2007               2009           2009                 2007            2008                        2008

Source: author’s elaboration based on the OSILAC - ICT Statistical Information System
(www.eclac.org/tic/flash) and Eurostat. Data Explorer (http://epp.eurostat.ec.europa.eu/
portal/page/portal/statistics/search_database). For Latin America countries the information is
the latest available, and for the European Union counties the data used is from 2008, to
keep comparability [14].

Noteworthy in the region are the low levels of Internet use for more complex
activities such as e-government, e-commerce and online banking. While in EU
countries, 46% of the Internet users interact with public authorities through the Net,
47% perform banking activities and 50% are adept in purchasing online, these
activities are almost non-existent in most of the Latin American region, with the
76                                                                                                     ESTADÍSTICA (2010), 62, 179, pp. 59-85




exception of Brazil (2008), Chile (2009) and the Dominican Republic (2007). For
example, e-government usage rates are 18% in Brazil, 18% in Chile and 10% in the
Dominican Republic. In the other Latin American countries, it does not exceed 7%.

There are many explanations for this phenomenon, including lack of e-government
services available to citizens, problems with cyber-security and the low income
level of the region in general. Thus, one can infer that the average Latin-American
Internet-user is not prepared yet to use the network for more complex activities,
which require more sophisticated interactions.

Location of Internet use: In most Latin American countries analyzed, commercial
Internet access facilities are known as the most popular locale for Internet use, with
the exception of Mexico, Brazil and Chile where home access is predominant,
with percentages of 64%, 60% and 47%, respectively (Graph 9).

Graph 9. Location of individual use of the Internet in Latin America (8 countries) and in the
European Union (27 countries). (Percentages over the total number of Internet users).
                                                                                                                                                                        Café Internet ‐avg 21 countries‐
         Commercial or community Internet access facility                        Place of education             At place of work              At home                           Chart Title
                                                                                                                                                                        Place of education
 100                                                                                                                                                              100 At place of work
                                                                                                                                                                        At home
  90                                                                                                                                                               90                           86

  80                                                                                                                                                               80
  70                         64                                                      62                                                                      64    70
         61                                                                                                                              60
  60                                                                                                                                                               60
  50                                                              45                                                 47
                                                                                                                                                                   50
                                                                                                                                                                                          42
  40                                            36                                                     35                 35        37                             40
                   32                                     33 31                 31                34
                                           28                                             26 25
  30          25                                                                                                25                                                 30
                        22                                                                                                                    22        21
                                      18
  20                                                 14                                                                        15                  15              20               13
                                                                           12
                                                                       9                                    8
  10                              5                                                                                                                                10          6

     ‐                                                                                                                                                              0
          Dom. Rep.               Peru           Panama           El Salvador         Ecuador           Mexico                 Brazil              Chile                             EU27
            2007                  2009            2007               2008              2009              2009                  2008                2009                              2008


Source: author’s elaboration based on the OSILAC - ICT Statistical Information System
(www.eclac.org/tic/flash) and Eurostat. Data Explorer (http://epp.eurostat.ec.europa.eu/
portal/page/portal/statistics/search_database). For Latin America countries the information is
the latest available, and for the European Union counties the data used is from 2008, to
keep comparability.

These commercial establishments are present in all urban centers, mainly in low-
income communities, and have proved to be an important access option for a
significant part of the population. In Peru, Ecuador and Dominican Republic, for
example, access to the Web through these centers is greater than 60%, while at home,
work or school, this percentage does not exceed 40%. On the other hand, it is worth
BALBONI et al.: Progress and challenges of measuring the information society…        77




noting that the household is an important place for individual access to the Internet in
countries that have a larger middle class and more resources, such as Mexico, Brazil
and Chile. That is also the case of EU countries, where the home is used by 86% of
the Internet users while the commercial internet access by only 6%.

4. Conclusions

The challenge of developing ICT indicators in Latin America and the Caribbean is
as important as the development of information societies themselves. With more or
less intensity, countries in the region have been incorporating ICT into all aspects
of daily life, as a means for political and socio-economic development.
Understanding this dynamic has been a learning process in many ways. Since the
beginning of the decade, driven mainly by world events related to the IS (such as
the World Summits that took place in 2003 and 2005), policy-makers and
researchers noticed the need for elaborating indicators to support the development
of this society and to assess the adoption of its technologies.

In Latin America and the Caribbean, the process of developing ICT indicators was
conducted by OSILAC and supported by the International Development Research
Centre (IDRC), UN-ECLAC and the National Statistical Offices (NSO). In 2004,
they started to discuss a list of core indicators and the implementation of ICT
questions on NHS and NBS. Consequently, between 2004 and 2009, the regional
NSOs have presented significant progress in measuring access to and use of these
technologies, producing the data that constitutes the main source for the OSILAC’s
Statistical Information System on ICT. The system integrates, through a single
application, the data collected in NHS in LAC countries, containing variables on
ICT access and use, in addition to socio-economic variables of interest, which are
sources of valuable information for researchers and decision-makers in the field of
public policies.

The analysis conducted in this paper confirms the premise that social and economic
factors are still determining Internet access in the LAC region, particularly the
level of education, income and geographical location (mainly rural or urban). This
gap increases as technology becomes more complex and costly for the user, such as
broadband. Therefore, closing the access gap is a major challenge in public policies
related to emerging new technologies.

Considering the internal access gap, the region faces a considerable difference in
access between the richest segment of the population and the poorest, which could
be reduced through various types of policies, giving Governments the possibility to
take responsibility in promoting and facilitating not only ICT access, but its use in
78                                            ESTADÍSTICA (2010), 62, 179, pp. 59-85




particular. Such policies would provide the lower income sectors of society with an
inclusive tool that could help supplement and correct socio-economic
disadvantages. As for the geographical gap, especially with regards to the
extremely low levels of access in rural areas, the first – and logical -- step to be
taken is to expand networks, both private and public, in all countries of the region.
This is important, given the striking external gap in the region, in which countries
present levels of access still quite inferior when compared to developed countries.

On the other hand, the gap on Internet use is more difficult to close. It is directly
linked to education, income and culture, among other aspects. The study shows that
in most LAC countries, commercial Internet access facilities are the most important
locale for Internet use, with the exception of those few countries that have a larger
middle class and more resources, where the household proves to be an important
place for individual access, as we see in developed countries. That means that for
individuals from the poorest quintiles, shared access seems to be the only viable
solution to Internet access, especially considering that the value of equipment and
connection are still too high in relation to the per-capita-income in the region.
Finally, regarding the activities undertaken by individuals in the LAC region, we
see that education needs to be prioritized, in order to take the use of the network
beyond communication and leisure in favour of more sophisticated activities that
could effectively mean better education, job opportunities and quality of life.

Further efforts to produce ICT-access-and-use indicators are therefore essential in
order to assess current dynamics and determine the real digital divide and stage of
ICT evolution in the countries of the region. Analysis of the impact of ICT on
different sectors of society is crucial to elaborating accurate policies for the
information society. This is especially important for identifying how ICT can
accelerate the dissemination of knowledge. In this way, tools such as the OSILAC
Statistical Information System on ICT are crucial to the development of public
policies in the region.
BALBONI et al.: Progress and challenges of measuring the information society…      79




Endnotes

[1] OSILAC, the Observatory for the Information Society in Latin America and the
Caribbean, is supported by the Institute for Connectivity in the Americas (ICA) and
the International Development Research Centre (IDRC) of Canada.
[2] Several reference documents with revisions and analysis of the ICT core
indicators can be found, both for households and for business, which have been
subject of constant study, i.e. OSILAC (2007c and 2010), ITU (2009), Partnership
(2005a, 2005b, 2008 and 2010), UNCTAD (2007 and 2009).
[3] More information in http://www.cepal.org/socinfo/osilac/ .
[4] See in http://www.cepal.org/cgi-bin/getProd.asp?xml=/publicaciones/xml/3/32163/
P32163.xml&xsl=/ddpe/ tpl/p9f.xsl&base=/socinfo/tpl/top-bottom.xsl.
[5] In the case of NHS, according to Partnership (2010), the indicators developed
by OSILAC are separated into access indicators, collected at the household level,
and use indicators, which apply to individuals.
[6] Statistics obtained based on the official information reported by countries. Note
that in most of the Population Censuses of the Latin American and Caribbean
countries there are questions on computer and Internet access in the module
corresponding to household’s goods and services (OSILAC, 2007b and 2010).
[7] Available in http://www.cepal.cl/tic/flash
[8] For this study, the latest data available on the Statistical Information System on
ICT was used for the Latin American region, and for comparisons with the
European Union the data was based on the ITU and Eurostat.
[9] Although the categories of analysis for each variable are not strictly the same,
we’ve conducted the exercise of putting together and in the same scale the graphs
of calculated indicators of the Statistical Information System on ICT and the
Eurostat – Data Explorer in order to compare them with sufficient cautions. In the
case of income in Latin American countries we usually managed the quintiles of
income as measure and we found Eurostat data on quartiles of income.
[10] There are also available data from 2009 but the difference on the year base
could bias the comparison and show gaps even wider between Latin American and
Caribbean countries and European Union countries.
[11] As mentioned before, we have compared quartiles of income in EU with
quintiles of income in Latin America. We focused the analysis on the highest
subgroup of income taking into account that the gaps could be even wider because
we usually compared the 25% of the richest households in EU with the 20% of the
richest households in Latin American countries.
[12] It does not include mobile broadband subscriptions.
[13] Percentages obtained over the total of Internet users. In the case of Latin
American and Caribbean countries we restricted the population scope to
individuals aged 15-74.
80                                          ESTADÍSTICA (2010), 62, 179, pp. 59-85




[14] Most countries of the region do not use the reference period of 12 months in
the questions on individual use of ICT

References

BALBONI, MARIANA REIS (2007). “Por detrás da inclusão digital – Uma
reflexão sobre o consumo e a produção de informação em centros públicos de
acceso à Internet no Brasil”. PhD thesis, Doutorado em Ciências da Comunicação),
Universidade de São Paulo, São Paulo.
http://www.teses.usp.br/teses/disponiveis/27/27154/tde-10102007-120815/
CELEDÓN, MARÍA ANGÉLICA AND RAZETO, ALICIA (2009). “La
transformación de puntos de acceso en nodos de conocimiento: análisis de diez
experiencias de telecentros comunitarios en América Latina”. United Nations,
Santiago de Chile. www.eclac.org/publicaciones/xml/8/35778/W233.pdf
GRAZZI, MATTEO AND VERGARA, SEBASTIÁN (2009). “ICT Access in
Latin America: Evidence from Household Level.” UN-ECLAC, Division of
Production, Productivity and Management. Mimeo.
GRAZZI, MATTEO (2009). “Patterns of Internet Use in Latin America.” UN-
ECLAC, Division of Production, Productivity and Management. Mimeo.
IDRC (2007). Digital Poverty: Latin American and Caribbean Perspectives.
http://www.idrc.ca/openebooks/342-3/
ITU (2009). Manual for measuring ICT Access and Use by Households and
Individuals. http://www.itu.int/dms_pub/itu-d/opb/ind/D-IND-ITCMEAS-2009-
PDF-E.pdf
MECOVI (1997-2003). Program for the Improvement of Surveys and the
Measurement of Living Conditions in Latin America and the Caribbean. ECLAC,
Inter-American Development Bank and World Bank. Presentations and results of
the Regional Workshops in http://www.eclac.cl/deype/mecovi/index.htm
KATZ, JORGE AND HILBERT, MARTIN (2003). Los caminos hacia una
sociedad de la información en América Latina y el Caribe. Naciones Unidas,
Santiago de Chile. www.eclac.org/publicaciones/xml/9/12899/lcg2195e2.pdf
OSILAC (2007a). “Characteristics of households with ICTs in Latin America and
the     Caribbean.”    ECLAC       -    ICA/IDRC.     Santiago    de    Chile.
http://www.cepal.org/ddpe/publicaciones/xml/9/32189/W171.pdf
BALBONI et al.: Progress and challenges of measuring the information society…   81




OSILAC (2007b). “Patrones de penetración de los bienes y servicios TIC en los
hogares de América Latina y el Caribe. Análisis basados en datos Censos
Nacionales de Población y Vivienda de la ronda del 2000”. ECLAC - ICA/IDRC.
Santiago de Chile. http://www.cepal.org/publicaciones/xml/3/32233/lcw173.pdf
OSILAC (2007c). “Compendium of Practices on the implementation of ICT
questions in household and business surveys in Latin America and the Caribbean.”
ECLAC - ICA/IDRC. Santiago de Chile.
http://www.cepal.org/ddpe/publicaciones/xml/4/32164/W169_Ingles.pdf
OSILAC (2009b). “Analysis of methodological issues and new ICT indicators for
Latin America and the Caribbean.” (in cooperation with the Working Group on
Information and Communications Technologies (ICT) of the Statistical Conference
of the Americas). UN-ECLAC. Santiago de Chile.
http://www.eclac.cl/publicaciones/xml/2/36592/LCL3078i.pdf
OSILAC (2010). “Compendio de Prácticas sobre Implementación de Preguntas de
TIC en Encuestas de Hogares y Empresas Revisión 2010”. Division of Production,
Productivity and Management. UN-ECLAC.
http://www.eclac.org/publicaciones/xml/8/40928/W340.pdf.
PARTNERSHIP ON MEASURING TIC FOR DEVELOPMENT (2005a).
Measuring ICT: the global status of ICT Indicators. United Nations ICT Task
Force, New York.
http://www.eclac.org/socinfo/noticias/documentosdetrabajo/1/23121/A5-Partnersh-
ip%20global%20stocktaking.pdf
PARTNERSHIP ON MEASURING TIC FOR DEVELOPMENT (2005b). Core
ICT Indicators. United Nations, Santiago de Chile.
http://www.cepal.org/socinfo/noticias/documentosdetrabajo/6/23116/CoreIndicator
sEnglish.pdf
PARTNERSHIP ON MEASURING TIC FOR DEVELOPMENT (2007). “Report
of the Partnership to the 38th session of the United Nations Statistical
Commission” (27 February - 2 March 2007, New York). E/CN.3/2007/5.
http://unstats.un.org/unsd/statcom/doc07/2007-5e-ICT.pdf.
PARTNERSHIP ON MEASURING TIC FOR DEVELOPMENT (2008).
“Revisions and Additions to the Core List of ICT Indicators.”
http://www.itu.int/ITU-D/ict/partnership/material/CoreICTIndicators_e_rev2.pdf.
82                                        ESTADÍSTICA (2010), 62, 179, pp. 59-85




PARTNERSHIP ON MEASURING TIC FOR DEVELOPMENT (2009a). “Report
of the Partnership to the 40th session of the United Nations Statistical
Commission” (24 February - 27 February 2009, New York). E/CN.3/2007/5.
http://unstats.un.org/unsd/statcom/sc2009.htm.
PERES, WILSON AND HILBERT, MARTIN (2008). La sociedad de la
información en América Latina y el Caribe: desarrollo de las tecnologías y
tecnologías para el desarrollo. Libros de la CEPAL. 98 (LC/G.2363-P) . UN-
ECLAC, Division of Production, Productivity and Management, Santiago de Chile.
http://www.eclac.org/cgi-bin/getProd.asp?xml=/publicaciones/xml/2/36002/P3600-
2.xml&xsl=/ddpe/tpl/p9f.xsl&base=/socinfo/tpl/top-bottom.xslt
REGULATEL (2007). ”Nuevos modelos para el acceso universal de los servicios
de telecomunicaciones en América Latina”. Regulatel, UN-ECLAC and World
Bank.
SCHULZ, CHRISTIAN, Y OLAYA, DORIS (2005). “Toward an Information
Society measurement instrument for Latin America and the Caribbean: getting
started with Census, household and business surveys.” United Nations, ECLAC -
ICA/IDRC, Santiago de Chile.
http://www.cepal.org/publicaciones/DesarrolloProductivo/4/LCW14/DOC3%20LC
W14TowardOlaya-Schulz.pdf
UNCTAD (2007). Manual de producción de estadísticas sobre la economía de la
información. United Nations. Presented in the Fourth Workshop on Information
Society Measurement in Latin America and The Caribbean. Rio de Janeiro.
UNCTAD (2009). Manual for the Production of Statistics on the Information
Economy. Revised Edition. United Nations.
http://www.eclac.cl/socinfo/noticias/documentosdetrabajo/3/39913/Manual_Uncta
d_2009.pdf
WORLD SUMMIT ON THE INFORMATION SOCIETY (WSIS) (2005). “Tunis
Agenda for the Information Society.” WSIS-05/TUNIS/DOC/6 (Rev.1)-E.
http://www.itu.int/wsis/docs2/tunis/off/6rev1.html.


Received October 2009
Revised March 2011
BALBONI et al.: Progress and challenges of measuring the information society…    83




Annex 1. Revised list of ICT core indicators

Revised list of core indicators on access to, and use of, ICT by households and
individuals

HH1 Proportion of households with a radio
HH2 Proportion of households with a TV
HH3 Proportion of households with telephone
Fixed telephone only
Mobile cellular telephone only
Fixed and mobile cellular telephone
HH4 Proportion of households with a computer
HH5 Proportion of individuals who used a computer (from any location) in the last
12 months
HH6 Proportion of households with Internet access at home
HH7 Proportion of individuals who used the Internet (from any location) in the last
12 months
HH8 Location of individual use of the Internet in the last 12 months:
Home
Work
Place of education
Another person’s home
Community Internet access facility
Commercial Internet access facility
Any place via a mobile cellular telephone
Any place via other mobile access devices
HH9 Internet activities undertaken by individuals in the last 12 months (from any
location)
Getting information about goods or services
Getting information related to health or health services
Getting information from general government organizations
Sending or receiving e-mail
Telephoning over the Internet/VoIP
Posting information or instant messaging
Purchasing or ordering goods or services
Internet banking
Education or learning activities
Playing or downloading video games or computer games
Downloading movies, images, music, watching TV or video, or listening to radio
or music
84                                            ESTADÍSTICA (2010), 62, 179, pp. 59-85




Downloading software
Reading or downloading on-line newspapers or magazines, electronic books
HH10 Proportion of individuals with use of a mobile cellular telephone
HH11 Proportion of households with access to the Internet by type of access
Narrowband
Fixed broadband
Mobile broadband
HH12 Frequency of individual use of the Internet in the last 12 months (from any
location)
At least once a day
At least once a week but not every day
Less than once a week
HHR1 Proportion of households with electricity
Source: Partnership on Measuring ICT for Development, Revisions and Additions to the
Core List of ICT Indicators [online]
http://unstats.un.org/unsd/statcom/doc09/BG-ICTIndicators.pdf, 2009.
BALBONI et al.: Progress and challenges of measuring the information society…     85




Summarized list of core indicators proposed for measuring ICT through
business surveys

B1 Proportion of businesses using computers
B2 Proportion of persons employed routinely using computers
B3 Proportion of businesses using the Internet
B4 Proportion of persons employed routinely using the Internet
B5 Proportion of businesses with a web presence
B6 Proportion of businesses with an intranet
B7 Proportion of businesses receiving orders over the Internet
B8 Proportion of businesses placing orders over the Internet
B9 Proportion of businesses using the Internet by type of access (narrowband,
broadband (fixed, mobile))
B10 Proportion of businesses with a local area network (LAN)
B11 Proportion of businesses with an extranet
B12 Proportion of businesses using the Internet by type of activity:
Sending or receiving e-mail
Telephoning over the Internet/VoIP
Posting information or instant messaging
Getting information about goods or services
Getting information from general government organizations
Interacting with general government organizations
Internet banking
Accessing other financial services
Providing customer services
Delivering products on line
Internal or external recruitment
Staff training
Source: Partnership on Measuring ICT for Development, Revisions and Additions to the
Core List of ICT Indicators [online]
http://unstats.un.org/unsd/statcom/doc09/BG-ICTIndicators.pdf, 2009.
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Measuring Progress of Latin America's Information Society

  • 1. ESTADÍSTICA (2010), 62, 179, pp. 59-85 © Instituto Interamericano de Estadística PROGRESS AND CHALLENGES OF MEASURING THE INFORMATION SOCIETY IN LATIN AMERICA AND THE CARIBBEAN MARIANA BALBONI Observatory for the Information Society in Latin America and the Caribbean (OSILAC); Division on Production, Productivity and Management; United Nations Economic Commission for Latin America and the Caribbean (UN-ECLAC) mariana.balboni@cepal.org CÉSAR CRISTANCHO Observatory for the Information Society in Latin America and the Caribbean (OSILAC); Division on Production, Productivity and Management; United Nations Economic Commission for Latin America and the Caribbean (UN-ECLAC) cesar.cristancho@cepal.org ABSTRACT The access to Information and Communication Technologies (ICT) became fundamental for socio-economic growth, particularly in developing countries. Indicators elaborated by OSILAC have shown that although the usage of some ICT is growing widely, the level of internet usage in Latin America is still very far from its use in developed countries. The present unequal access within and between developing countries can be worsened if there are no policies to guarantee the digital access to all or most sectors of society. Existing social and economical differences can be both deepened by the lack of or deepening the access to ICT. Measuring ICT access, usage and capabilities is therefore indispensable for elaborating, monitoring and evaluating adequate and inclusive policy-design. The objective of this paper is to present the “Progress and challenges of measuring the Information Society in Latin America and the Caribbean ICT”. Special attention will be given to the initiatives that have been undertaken to harmonize indicators, and the results of the analyses carried out with the available statistical information on ICT access and usage produced by OSILAC in order to monitor ICT related policies in the region.
  • 2. 60 ESTADÍSTICA (2010), 62, 179, pp. 59-85 Key words ICT Measurement, Information Society, Digital Divide, Latin America and the Caribbean RESUMEN El acceso a las Tecnologías de la Información y la Comunicación (TIC) se ha convertido en un aspecto fundamental para el crecimiento socio-económico, particularmente en los países en desarrollo. Los indicadores elaborados por OSILAC han demostrado que aunque existe un incremento en el uso de algunas TIC en América Latina, el nivel de uso de Internet se encuentra aún lejos del nivel observado en los países desarrollados. La actual desigualdad en el acceso dentro y entre países en desarrollo puede empeorar si no existen políticas para garantizar el acceso digital a todos o la mayoría de los sectores de la sociedad. Las brechas sociales y económicas existentes pueden ser profundizadas por la falta de acceso a las TIC. La medición del acceso a, el uso de y las capacidades en TIC es indispensable para la elaboración, seguimiento y evaluación de políticas diseñadas de manera adecuada e inclusiva. El objetivo de este trabajo es presentar los "Avances y desafíos de la medición de la Sociedad de la Información en América Latina y el Caribe". Se presta especial atención a las iniciativas que se han adoptado para armonizar los indicadores y los resultados de los análisis realizados con la información estadística disponible sobre el acceso y uso de TIC producida por OSILAC para el monitoreo de las políticas relacionadas con TIC en la región. Palabras clave Medición de las TIC, Sociedad de la Información, Brecha Digital, América Latina y el Caribe 1. Introduction Measuring Information and Communications Technologies (ICT) access, usage and capabilities is a key process to allow sound assessments and monitoring on the advances of countries. It has become clear that this does not only apply to advanced countries as ICT poses significant opportunities and challenges to the developing world. The measurement of the phenomena and its dynamics becomes indispensable in order to understand the development of today’s information
  • 3. BALBONI et al.: Progress and challenges of measuring the information society… 61 societies and to support adequate policy-design and assessment. Particularly, developing countries need to comprehend the dynamics of the ICT evolution and revolution and its possibilities to support socio-economic development (Katz and Hilbert, 2003; Schulz and Olaya, 2005). Literature argues that equity can be increased by a broadened access and usage of ICT, showing them as an opportunity for development. However, some indicators elaborated by the UNECLAC Observatory for the Information Society in Latin America and the Caribbean (OSILAC) [1] allow concluding that although the usage of some ICT like mobile phone is growing widely, the level of internet use is still very far from use in developed countries, and broadband access indicators shows that Latin America is not growing as fast as advanced countries (Peres and Hilbert, 2008). Therefore, in order to elaborate accurate policies for information society, exercises to assess current dynamics and to establish the real digital divide and stage of ICT evolution in countries of the region are a crucial step of the process. To present the current stage of the development of indicators for the information society in Latin America and the Caribbean, and its importance for the strengthening of public policies, this paper is structured as follows: Section 2 summarizes the background and progress in the measurement of ICT in the region, including the development of the OSILAC Statistical Information System on ICT. Special attention will be given to the initiatives that have been undertaken to harmonize indicators, such as the “Partnership on Measuring ICT for Development”, an inter-agency initiative in which OSILAC has been playing an important role. In Section 3, the results of a few analyses carried out with the available statistical information on ICT access and usage produced by OSILAC will be presented, including a comparison of the Latin American context with European countries. Section 4 discusses the importance of ICT indicators for the developing and monitoring of digital policies in the region. Finally, Section 5 presents final conclusions and the challenges met in the process of measuring ICT for development in Latin America and the Caribbean. 2. Measuring the Information Society 2.1. Background Following the World Summit on the Information Society (WSIS), which took place in two phases (Geneva 2003 and Tunis 2005), countries and regions were called upon to develop tools for measuring and monitoring progress towards the information society, including basic ICT indicators (Partnership, 2005a and
  • 4. 62 ESTADÍSTICA (2010), 62, 179, pp. 59-85 2005b). The Partnership on Measuring ICT for Development was then launched in June 2004, as a multi-stakeholder initiative aimed at improving the availability and quality of ICT data and indicators, particularly in developing countries. Currently the members of the initiative are ITU, OECD, UNCTAD, the UNESCO Institute for Statistics, the UN Regional Commissions (UNECLAC, UNESCWA, UNESCAP, UNECA, the World Bank, EUROSTAT and UNDESA, who joined the Partnership in May 2009. ECLAC is part of the Partnership Steering committee, along with ITU and UNCTAD. Among the main objectives of the Partnership is to identify a set of key indicators (Annex 1) in the measurement of ICT (Partnership 2005b, 2008 and 2010). This set of indicators [2] represents the result of discussions and agreements taken regionally among National Statistical Offices, and globally among member institutions of the Partnership. In the region of Latin America and the Caribbean, the creation of OSILAC in late 2003 represented an important step towards creating an environment that fosters the development of ICT indicators. These core indicators were first presented at the Thematic Meeting of the World Summit on the Information Society held in Geneva from 7 to 9 February 2005 and endorsed by the Statistical Commission of United Nations (UNSC) its 38th session in February 2007. Subsequently, the list has been reviewed by the same Partnership in 2008 and 2010. The updated publication of the Core ICT Indicators was presented at the 41th meeting of the UNSC, held in February 2010. 2.2. Current status and key challenges in ICT measurement Over the last five years, the region has experienced significant development in the production and compilation of harmonized statistics and indicators on ICT access and use collected by means of National Household Surveys (NHS) and National Business Surveys (NBS). It has also strengthened its regional capacities for the formulation and design of questionnaires, data collection, harmonization of indicators, and dissemination of methodologies. This process has been significantly supported by OSILAC, which has maintained and expanded its collaboration with the National Statistical Offices (NSO) of the region, having organized six annual Workshops on Information Society Measurement in Latin America and the Caribbean since 2004, as well as conducted other activities of direct technical assistance and online support to the countries [3]. The adoption of the “Compendium of Practices on the implementation of ICT questions in household and business survey” by the Statistical Conference of the Americas (SCA) of ECLAC in 2007 has been a crucial point for the statistical
  • 5. BALBONI et al.: Progress and challenges of measuring the information society… 63 development in this area. Elaborated by OSILAC, the updated document collects and organizes information on the progress made by countries in the region from 2000 until 2010 [4]. Until 2004, it shows that only 15 countries in Latin America had indicators on Internet access and only three on Internet use [5]; while currently, 19 countries have data on Internet access and 16 on Internet use. In the Caribbean countries, the available information is scarcer; until 2004, only two Caribbean countries had indicators on Internet access and other two on Internet use, while in 2010, 7 countries have data on Internet access and 6 on ICT use in NHS [6]. Moreover, on NBS, currently 12 countries have incorporated questions on ICT in Latin America and the Caribbean in the period. Graph 1 displays a summary. Graph 1. Percentage of countries monitoring ICT core indicators (revised list) in household and business surveys in Latin America and the Caribbean. Households surveys 100% 84% 79% 35% 30% 16% 10% 10% 2000-2004 2005-2010 2000-2004 2005-2010 2000-2004 2005-2010 2000-2004 2005-2010 Internet access Internet use Internet access Internet use Latin America The Caribbean
  • 6. 64 ESTADÍSTICA (2010), 62, 179, pp. 59-85 Businesses surveys 53% 11% 10% 0% 2000-2004 2005-2010 2000-2004 2005-2010 Latin America The Caribbean Source: OSILAC based on information reported by National Statistical Offices, December 2010. For household results it was considered only countries that had at least one indicator of access and one of use. Number of countries in Latin America: 19. Number of countries and territories in the Caribbean: 20. Additionally, efforts have been made in order to coordinate activities with the Working Group on ICT Statistics, created in the 3rd. Reunion of the SCA in 2005, and with the United Nations Statistical Commission (UNSC), through the work carried out with the Partnership on Measuring ICT for Development. This network has been expanded and now includes other institutions that measure additional and more specific indicators on ICT, such as ICT sector, ICT infrastructure, e- education, e-government, etc. Among them are ministries of planning, of economy, of education and of science and technology, as well as universities, think tanks and firms in the ICT sector. In the case of ICT-access variables, their collection and analysis started before the creation of OSILAC, which has taken advantage of the results of the MECOVI work (Program of the Improvement of Surveys and the Measurement of Living Conditions in Latin America and the Caribbean) developed by ECLAC, the World Bank and the Inter-American Development Bank. As a result of this project, most countries have included ICT-access questions in their module of housing and household information, specifically in the inventory of households’ durable goods and services, which traditionally is answered by the head of the household. The key variable in this module is the ownership of Internet.
  • 7. BALBONI et al.: Progress and challenges of measuring the information society… 65 On the other hand, the collection of ICT-use variables does not have the same coverage and frequency in all Latin American and Caribbean countries, being almost non-existent in the latter. Some, like Paraguay, El Salvador and Honduras, have incorporated ICT questions in their annual household surveys; others, like Uruguay, Chile and Dominican Republic, inquire about ICT use only every two or three years. In all cases, the most important outcome of this work is that the region began to establish a set of internationally comparable indicators based on official statistics. Despite efforts on the elaboration of indicators, there is still a great challenge in terms of measuring ICT impacts. Although indicators provide background information on the advances in ICT access and use in the last years, it is well known that it is not possible to establish isolated causal relationships among variables of interest. This is a complex field that requires more analysis in the region, especially in a thematic like this, where effects are usually transversal and mutually crossed (Peres and Hilbert, 2008). An impact evaluation of a program and/or activity involving ICT requires advanced techniques, including teams of multiple disciplines that seek to quantify results explained by a real action, rather than by any other random factor that has happened while the initiative was developed. The countries of the region must build capacity in this regard, which will impact the strengthening of existing institutions, even knowing that any further budget spent on ICT initiatives competes with other priorities that have not been covered in the countries of the region, given the context of a scenario of scarce resources with high opportunity cost. 2.2. Statistical Information System on ICT The implementation of the Statistical Information System on ICT [7], which is the result of OSILAC efforts for the collection of ICT household information with the collaboration of statistical offices, has been a major milestone in the development of ICT statistics in the region. Through a single application, the system integrates data on ICT access and use collected in NHS in Latin America and the Caribbean. At present, the system provides statistical information on ICT for 17 Latin American countries, with the exception of Argentina and Cuba, summing up 96 NHS databases collected and harmonized by OSILAC. Based on the information provided by the system, it is possible to measure ICT-access-and-use gaps, identifying their social, economic and demographic factors, seizing potential targets for public policies in those populations that illustrate the greatest
  • 8. 66 ESTADÍSTICA (2010), 62, 179, pp. 59-85 disadvantages in the adoption and productive use of ICTs. As such, the system is a powerful tool for the formulation and evaluation of public policies and ICT-related strategies in the region. There are 47 ICT variables available, including the core indicators (Annex 1), and 20 socio-economic variables, like household income, educational level, occupation, sex and geographic area (urban, rural). Notice, however, that not all the variables are available for every country. The database mainly covers surveys made from 2000 to 2009, and the micro-data available includes Bolivia, Brazil, Chile, Costa Rica, Colombia, Panama, Ecuador, El Salvador, Guatemala, Honduras, Mexico, Nicaragua, Paraguay, Peru, Dominican Republic, Uruguay and Venezuela. This system stands out because it allows one to process the results of multiple databases which are displayed in a single table, thus providing access to aggregated results according to ICT- and socio-economic variables. Additionally, it is possible to make comparisons over time, within countries, between countries and at regional level. The system can be accessed by any person, by Internet. It is available in English or Spanish and the results can be obtained in HTML or in Excel format. Its target audience includes researchers, decision-makers, opinion leaders and students and anyone interested in the ICT topic. The harmonization of the variables has been carried out using a combination of SAS base, SQL and macro codes and involves the creation of a master code of categories of analysis of each variable of interest, and the normalization of lengths and names of each variable of each survey. Currently, the data system integrates the answers given by 10,099,693 interviewed people from 2,674,827 homes in the last 9 years, in other words, an average of 1,009,969 persons per year. This sample size can hardly be achieved by other surveys, pointing out that the system is an information source of enormous potentialities for analysis and research on the progress of the information society in the countries of the region. Some studies like Grazzi and Vergara (2009) and Grazzi (2009) have used the data from this statistical system to determine access and use of ICTs in the countries of the region. Finally, it is important to mention that OSILAC has focused the analysis in NHS, but the region has other important sources of information like Population Censuses and Administrative Records. In 2010, a new round of censuses has began, and a considerable number of NSOs in the regional are including questions on ICT access and individual use. These information should be shortly available, but they are beyond the scope of this paper.
  • 9. BALBONI et al.: Progress and challenges of measuring the information society… 67 3. Digital divide in Latin American and the Caribbean Available data in the OSILAC Statistical Information System on ICT [7] illustrates the current status and evolution of the digital divide both among and within Latin American countries, which are the result of pre-existing economic and social inequalities in certain dimensions such as income, education, gender, ethnicity, geographic location, among others. In order to illustrate the development of public policies focused on reducing the digital divide, it is important to distinguish the existent gap in access to ICT goods and services, and the gap in the individual use of digital tools. That is necessary because what characterizes the social and productive organization of information societies is the quantity and quality of digitalized information and communication, and not the number of installed computers or other equipment (Peres and Hilbert, 2008). Therefore, public policies fostering digital inclusion should not only ensure ICT access, but also empower people from different backgrounds to use ICT and to make it relevant to their lives (Balboni, 2007). The data collected from the NHS in Latin America have allowed the elaboration of detailed analyses at national and sub national levels, indicating the existence of relationships between levels of income, education and geographic location, in regards to ICT access and use. In Latin America, the study by Grazzi (2009) is one of few papers that have examined the determinants of Internet adoption and have elaborated a cross-country analysis seeking to examine the correlation between the socio-economic characteristics of Internet users and the different Internet activities undertaken by individuals. The main findings of his study are: that Internet access cannot be translated automatically into usage and that the digital divide is still a reality inside the household – for example, women and older people are less likely to use the Internet, even when access is provided. Other studies, such as Grazzi and Vergara (2009); Razeto and Celedon (2009); OSILAC (2007a), Regulatel (2007) and IDRC (2007), report that the access gap increases as technology becomes more complex and expensive for the user. Thus, the key determinants to the digital divide in Latin America and the Caribbean are indeed socio-economic variables of income, education level and access to ICT by households. 3.1. The access gap In order to examine the digital divide in ICT access in Latin America, both among and within countries, we have considered the adoption of the technologies that
  • 10. 68 ESTADÍSTICA (2010), 62, 179, pp. 59-85 have acquired a greater role both at a household and at an individual level: the computer and the Internet [8]. Although in general these technologies are present in an increasing number of households, their level of penetration varies by geographic area (urban or rural) and income level, among other characteristics. Below are some results obtained through the OSILAC Statistical Information System on ICT, which illustrate the relationship among the Internet access determinants, and furthermore allow the identification of the major public-policy issues in the region. These results were also compared with indicators from more developed countries by means of Eurostat - Data Explorer [9] . Computer ownership: to analyze the external gap among countries, we compared 11 states from Latin America and identified the existence of two main patterns of household computer access dividing the countries into two groups (Graph 2): the first comprising Uruguay, Chile, Costa Rica, and Brazil, with percentages of computer access varying from 35% to 48%, and a second group formed by Ecuador, Colombia, Panama, Peru, Paraguay, El Salvador and Honduras with lower penetration, ranging from 10% to 23%. Compared with the European Union (EU) the gap is considerably greater, given that household access to a computer in this region is of 68%. If we consider the internal gap within countries, which reflect differences according to geographical area (rural and urban in Latin American countries) and income, i.e., the divide is highly marked. In all countries of the region, household computer access in urban areas is at least 10 percentage points higher than in rural areas, and this difference can be up to 30 percentage points in countries with known social inequalities like Brazil. Thus, the urban-rural gap is clear for all Latin American countries examined, even those who have shown significant progress towards the information society. In the case of the EU, the differences in access between densely populated areas (71%), intermediate urbanized areas (71%) and sparsely populated areas (60%) is not as marked.
  • 11. BALBONI et al.: Progress and challenges of measuring the information society… 69 Graph 2. Presence of a computer at home by zone in Latin America (11 countries) and in the European Union (27 countries). (Percentages). Densely‐populated area Urban Rural Total Intermediate urbanized area 80 80 Sparsely populated area 71 71 70 70 68 60 60 60 49 50 46 47 50 48 42 39 40 36 40 37 32 35 29 30 27 28 30 24 22 17 23 23 20 18 20 19 15 20 13 15 10 8 11 10 6 5 10 3 2 2 3 0 0 URY CHL CRI BRA ECU COL PAN PER PRY SLV HND EU27 2009 2009 2009 2009 2009 2008 2008 2009 2008 2008 2007 2008 Source: author’s elaboration based on the OSILAC - ICT Statistical Information System (www.eclac.org/tic/flash) and Eurostat - Data Explorer (http://epp.eurostat.ec.europa.eu/ portal/page/portal/statistics/search_database). For Latin America countries the information is the latest available, and for the European Union countries the data used is from 2008, to keep comparability. The level of household income is also another determining factor for the presence of computers in households in Latin America. As shown in Graph 3, the difference in the presence of the equipment among the highest and lowest quintiles of income is expressive in every country in the region, with exception of Uruguay, which presents the better access distribution in relation to the household revenue: access is higher than 40% in every quintile, probably due to public programs like the one laptop per child (project Seibal). In Chile, Costa Rica, and Brazil, the percentage of access in the highest quintiles of income (fifth quintile) varies from 63% to around 72%, while in the first two quintiles percentages varies from 6 to 30%. On the other hand, in Paraguay, Panama, Honduras and El Salvador, computer access in households from the fifth quintile does not exceed 41%, while in the first two quintiles it is lower than 6%. In short, the revenue distribution is still the principal determinant for the presence of a household computer in the region. The majority of European countries reveal less inequality than Latin-American countries. Unsurprisingly, the level of computer access in EU countries is much higher than in Latin American countries in every quintile.
  • 12. 70 ESTADÍSTICA (2010), 62, 179, pp. 59-85 Graph 3. Presence of a computer at home by income group in Latin America (11 countries) and the European Union (27 countries). (Percentages) [10] Q5 Q4 Q3 Q2 Q1 Quartile 4 Quartile 3 100  Quartile 2 100 Quartile 1 90 90  80  72 71 80 75 70  63 65 60  53 60 57 51 48 46 49 48 50  42 45 41 41 41 40 41 38 40  32 32 32 40 30 28 30  24 26 20 20 22 22 18 16 17 19 20  13 14 12 20 11 9 10 11 9 6 8 53 6 6 10  4 4 2 21 41 1 1 ‐ 0 CHL URY CRI BRA COL ECU PER PRY PAN HND SLV EU27 2009 2009 2009 2008 2008 2009 2009 2008 2007 2007 2008 2008 Source: author’s elaboration based on the OSILAC - ICT Statistical Information System (www.eclac.org/tic/flash) and Eurostat – Data Explorer (http://epp.eurostat.ec.europa.eu/ portal/page/portal/statistics/search_database). For Latin America countries the information is the latest available, and for the European Union countries the data used is from 2008, to keep comparability. Internet ownership: the gap in Internet access in Latin American households is even more influenced by income levels and geographical area than the computer access divide. In relation to the external gap by geographical area it can be seen that the tendency is repeated, with the characterization of a group of countries with greater access, where only Chile, Uruguay, Brazil, and Costa Rica have levels of Internet access higher than 15%. Moreover, the second group could be further divided into two blocks of countries, the first one formed by Colombia, Panama, and Peru, whose access levels vary between 10% and 13%, and another including Ecuador, Paraguay, El Salvador, and Honduras, where Internet access does not exceed 7% (Graph 4). On the other hand, Internet access in EU homes is at least twice the level in Latin American countries. Even in the EU’s sparsely populated areas, access is greater than all of Latin America’s urban areas.
  • 13. BALBONI et al.: Progress and challenges of measuring the information society… 71 Graph 4. Households with Internet access by zone in Latin America (11 countries) and in the European Union (27 countries). (Percentages) Densely‐populated area Urban Rural Total 80 Intermediate urbanized area 80 Sparsely populated area 70 70 65 63 60 60 60 51 50 50 40 40 31 31 32 27 28 29 30 26 30 18 18 20 15 16 20 12 13 10 11 10 6 7 7 9 7 10 53 64 10 4 0 0 1 1 0 1 0 0 0 HND SLV PRY ECU PER PAN COL CRI BRA URY CHL EU27 2007 2008 2008 2009 2009 2008 2008 2009 2009 2009 2009 2008 Source: author’s elaboration based on the OSILAC - ICT Statistical Information System (www.eclac.org/tic/flash) and Eurostat. Data Explorer (http://epp.eurostat.ec.europa.eu/ portal/page/portal/statistics/search_database). For Latin America countries the information is the latest available, and for the European Union countries the data used is from 2008, to keep comparability. Considering the internal gap by geographical area, we can see that Internet access in Latin American households is even lower in rural areas, mainly due to the lack of network infrastructure, but also to lower income and educational levels. In the last group of countries mentioned above, network access in rural areas is almost non-existent, while in urban areas it reaches up to 11%. And in countries with higher urban access, the rural gap is extreme. For example, Brazil and Chile stand out as having the highest inequality in this respect. In rural areas, the access does not exceed 4% and 7%, respectively, while in urban areas it goes up to 31% and 32%. The internal gap in Internet access according to income follows a pattern similar to that of computer access, the difference being that the penetration levels are significantly lower. Graph 5 shows that even in countries with higher rates of Internet access, like Chile Brazil and Uruguay, access in the first two quintiles does not exceed 15%. In the case of Brazil, for example, the differences are extreme: while 57% of households in the fifth quintile have Internet access, when it comes to the first quintile (the most excluded) this percentage is a mere 3%. In countries with lower internet penetration, like Paraguay, Ecuador, Peru, El Salvador and Honduras, Internet access in the highest quintile reaches up to 24%, while in the two first quintiles it practically inexistent.
  • 14. 72 ESTADÍSTICA (2010), 62, 179, pp. 59-85 At the same time, the gap in the Internet access between countries from the EU and Latin America is huge, even higher than in computer access. Internet penetration in households from the last quartile of EU countries (37%), which have the lower incomes in that region, exceeds the penetration of the fifth quintile (the richest) of most Latin American countries, with the exception of Chile, Brazil, Uruguay and Costa Rica. Graph 5. Households with Internet access by income in Latin America (11 countries) and in the European Union (27 countries). (Percentages) [11] Q5 Q4 Q3 Q2 Q1 Quartile 4 Quartile 3 100  100 Quartile 2 Quartile 1 90  90 84 80  80 70  70 67 62 57 60  51 60 50  50 48 37 36 38 40  40 37 31 29 27 30  23 22 21 24 30 20  15 16 17 16 16 20 13 10 8 9 9 8 7 74 10  6 44 5 42 6 6 10 3 21 0 21 210 200 2000 2100 ‐ 0 CHL BRA URY COL CRI PAN PRY ECU PER SLV HND EU27 2009 2008 2008 2008 2008 2007 2008 2008 2008 2008 2007 2008 Source: author’s elaboration based on the OSILAC - ICT Statistical Information System (www.eclac.org/tic/flash) and Eurostat. Data Explorer (http://epp.eurostat.ec.europa.eu/ portal/page/portal/statistics/search_database). For Latin America countries the information is the latest available, and for the European Union countries the data used is from 2008, to keep comparability. With the information available at OSILAC it is possible to make additional analysis on the access gap in households, but that was beyond the scope of this paper, which aims to show that differences in income and geographical zone affect both access to computers and the Internet, with a deeper impact in the latter. In this way, the results confirm the premise that social and economical factors are still determining internet access, particularly the level of income and geographical location. Also, it demonstrates that the internal gap increases as technology becomes more complex and costly for the user, such as the Internet. In this sense, we can also see (Graph 6) that the gap in the adoption of new technologies, such as Internet and broadband, is increasing between developed and developing countries. While the number of Internet users in Latin American countries went from 4% in 2000 to 33% in 2009, in EU countries the growth was from 21% to 68% in the same period, showing that penetration differences between both regions also grew from 17 to 35 percentage points. In the case of broadband
  • 15. BALBONI et al.: Progress and challenges of measuring the information society… 73 access, the numbers from ITU demonstrate that while none regions had access to the technology in 2000, in 2009 the penetration of broadband subscribers went up to 25% in the EU region while in Latin American countries it did not exceed 6%. We see then that even with the crescent access to ICT in Latin America, there is still a long way to go towards closing the gap. Graph 6. ICT penetration in Latin America and the Caribbean and in the European countries (27 countries) [12] , in 2000 and 2009. (Percentages) 140  124  ALC EU27 Difference 120  Number per 100 inhabitants 100  89  80  68  60  54  49  45  42  40  35  35  33 35  26  25  15  18  17 21  19  20  12  4  6  0  0  0  ‐ 2000 2009 2000 2009 2000 2009 2000 2009 Landline telephones Mobile subscribers Internet users Broadband subscribers Source: author’s elaboration based on the ITU data “World Telecomunications Indicators Database“ (2010), latest available revision. 3.2. The usage gap It is known that measuring access to ICTs is not sufficient to identify differences in the potential socio-economic development of countries and their people. Access to infrastructure is an initial step in closing the digital divide, but only the first and most basic one. Therefore, explicit efforts should be made to understand the usage gap, especially considering the ICT benefits for economic development, social welfare, and the full participation of citizens in the information society. In this way, to identify the limitations on the uptake of these technologies in different groups in society it would be important to analyze ICT usage according to age, gender and educational level, as well as to understand which are the main activities carried out by these groups in different places of access, like the household, school, work, commercial Internet-access facilities, etc.
  • 16. 74 ESTADÍSTICA (2010), 62, 179, pp. 59-85 In order to illustrate the digital divide on Internet usage in Latin America, a comparative analysis was made using OSILAC data on Uruguay, Peru, Paraguay, Panama, Mexico, Honduras, El Salvador, Ecuador, Costa Rica, and Brazil. The variables analyzed where Internet usage by gender, activities undertaken and access location. This information was also compared to numbers from the European Union. Internet usage by gender: The individual use of Internet varies considerably among the Latin American countries analyzed, ranging from 41% in Chile (2009) to 11% in El Salvador (2008). But within each country, the percentage of men and women using the Internet seems to be fairly even, varying between one and three points in most countries, with the exception of Peru, and Chile, where male access can surpass female’s by up to 8 percentage points (Graph 7). Graph 7. Internet usage by gender. Latin America (8 selected countries) and the European countries (27 countries). Male Female Total Male Female Total 70  70  67  64 62 60  60  50  50  43  41  39  40  40  35  35  34  31  33  31  29  30  24 25  27  25  28 27  26  28  27  30  23  24  20  20  12 11  10  10  10  ‐ ‐ El Salvador Panama Dom. Rep. Ecuador Mexico Peru Brazil Chile EU27 2008 2007 2007 2009 2009 2009 2008 2009 2008 Source: author’s elaboration based on the OSILAC - ICT Statistical Information System (www.eclac.org/tic/flash) and Eurostat. Data Explorer (http://epp.eurostat.ec.europa.eu/ portal/page/portal/statistics/search_database). For Latin America countries the information is the latest available, and for the European Union counties the data used is from 2008, to keep comparability. Panama is the only country where the female access exceeds male’s by two percentage points. And, as expected, the percentage of individuals using the Internet in the EU is more than twice higher than in Latin American countries, with
  • 17. BALBONI et al.: Progress and challenges of measuring the information society… 75 the exception of Brazil and Chile, where in any case the difference is superior to 20 percentage points. Neither does the EU region seem to display a pronounced difference in Internet access by gender, given that 62% of its women and 67% of its men use the Internet (in 2008). Internet activities: Information-seeking and communication are the most frequent Internet activities undertaken by individuals in all countries of Latin America and other countries (Graph 8). However, the list of core indicators on Internet access and use (Partnership, 2008b) no longer includes the option “to search for information,” given that it is a nearly universal practice. In the case of the countries analyzed, communication is the main activity undertaken by people in Latin America, with percentages that vary from 19% (Panama) to 84% (Peru), but in most of the countries they are higher than 50%. In the EU region, the use of Internet for communication is universal (around 90%). Graph 8. Internet activities undertaken by individuals in Latin America (8 countries) and in the European Union (27 countries). (Percentages over the total number of Internet users ) [13] Communication Communication Interaction with public authorities Banking Purchaising or ordering Chart Title Interaction with public authorities 100  Banking 100 Purchaising or ordering 89 90  84 84 90 79 80  80 70  64 70 61 60  60 48 50 50  50 46 47 40  40 30  23 30 18 16 18 1816 19 19 20  15 20 10 10 10  7 9 6 7 4 3 2 3 3 10 0 1 1 1 0 1 ‐ 0 Peru Brazil Chile Dom. Rep.  Mexico Ecuador Panama El Salvador EU27 2009 2008 2009 2007 2009 2009 2007 2008 2008 Source: author’s elaboration based on the OSILAC - ICT Statistical Information System (www.eclac.org/tic/flash) and Eurostat. Data Explorer (http://epp.eurostat.ec.europa.eu/ portal/page/portal/statistics/search_database). For Latin America countries the information is the latest available, and for the European Union counties the data used is from 2008, to keep comparability [14]. Noteworthy in the region are the low levels of Internet use for more complex activities such as e-government, e-commerce and online banking. While in EU countries, 46% of the Internet users interact with public authorities through the Net, 47% perform banking activities and 50% are adept in purchasing online, these activities are almost non-existent in most of the Latin American region, with the
  • 18. 76 ESTADÍSTICA (2010), 62, 179, pp. 59-85 exception of Brazil (2008), Chile (2009) and the Dominican Republic (2007). For example, e-government usage rates are 18% in Brazil, 18% in Chile and 10% in the Dominican Republic. In the other Latin American countries, it does not exceed 7%. There are many explanations for this phenomenon, including lack of e-government services available to citizens, problems with cyber-security and the low income level of the region in general. Thus, one can infer that the average Latin-American Internet-user is not prepared yet to use the network for more complex activities, which require more sophisticated interactions. Location of Internet use: In most Latin American countries analyzed, commercial Internet access facilities are known as the most popular locale for Internet use, with the exception of Mexico, Brazil and Chile where home access is predominant, with percentages of 64%, 60% and 47%, respectively (Graph 9). Graph 9. Location of individual use of the Internet in Latin America (8 countries) and in the European Union (27 countries). (Percentages over the total number of Internet users). Café Internet ‐avg 21 countries‐ Commercial or community Internet access facility   Place of education At place of work At home Chart Title Place of education 100  100 At place of work At home 90  90 86 80  80 70  64 62 64 70 61 60 60  60 50  45 47 50 42 40  36 35 35 37 40 32 33 31 31 34 28 26 25 30  25 25 30 22 22 21 18 20  14 15 15 20 13 12 9 8 10  5 10 6 ‐ 0 Dom. Rep.  Peru Panama El Salvador Ecuador Mexico Brazil Chile EU27 2007 2009 2007 2008 2009 2009 2008 2009 2008 Source: author’s elaboration based on the OSILAC - ICT Statistical Information System (www.eclac.org/tic/flash) and Eurostat. Data Explorer (http://epp.eurostat.ec.europa.eu/ portal/page/portal/statistics/search_database). For Latin America countries the information is the latest available, and for the European Union counties the data used is from 2008, to keep comparability. These commercial establishments are present in all urban centers, mainly in low- income communities, and have proved to be an important access option for a significant part of the population. In Peru, Ecuador and Dominican Republic, for example, access to the Web through these centers is greater than 60%, while at home, work or school, this percentage does not exceed 40%. On the other hand, it is worth
  • 19. BALBONI et al.: Progress and challenges of measuring the information society… 77 noting that the household is an important place for individual access to the Internet in countries that have a larger middle class and more resources, such as Mexico, Brazil and Chile. That is also the case of EU countries, where the home is used by 86% of the Internet users while the commercial internet access by only 6%. 4. Conclusions The challenge of developing ICT indicators in Latin America and the Caribbean is as important as the development of information societies themselves. With more or less intensity, countries in the region have been incorporating ICT into all aspects of daily life, as a means for political and socio-economic development. Understanding this dynamic has been a learning process in many ways. Since the beginning of the decade, driven mainly by world events related to the IS (such as the World Summits that took place in 2003 and 2005), policy-makers and researchers noticed the need for elaborating indicators to support the development of this society and to assess the adoption of its technologies. In Latin America and the Caribbean, the process of developing ICT indicators was conducted by OSILAC and supported by the International Development Research Centre (IDRC), UN-ECLAC and the National Statistical Offices (NSO). In 2004, they started to discuss a list of core indicators and the implementation of ICT questions on NHS and NBS. Consequently, between 2004 and 2009, the regional NSOs have presented significant progress in measuring access to and use of these technologies, producing the data that constitutes the main source for the OSILAC’s Statistical Information System on ICT. The system integrates, through a single application, the data collected in NHS in LAC countries, containing variables on ICT access and use, in addition to socio-economic variables of interest, which are sources of valuable information for researchers and decision-makers in the field of public policies. The analysis conducted in this paper confirms the premise that social and economic factors are still determining Internet access in the LAC region, particularly the level of education, income and geographical location (mainly rural or urban). This gap increases as technology becomes more complex and costly for the user, such as broadband. Therefore, closing the access gap is a major challenge in public policies related to emerging new technologies. Considering the internal access gap, the region faces a considerable difference in access between the richest segment of the population and the poorest, which could be reduced through various types of policies, giving Governments the possibility to take responsibility in promoting and facilitating not only ICT access, but its use in
  • 20. 78 ESTADÍSTICA (2010), 62, 179, pp. 59-85 particular. Such policies would provide the lower income sectors of society with an inclusive tool that could help supplement and correct socio-economic disadvantages. As for the geographical gap, especially with regards to the extremely low levels of access in rural areas, the first – and logical -- step to be taken is to expand networks, both private and public, in all countries of the region. This is important, given the striking external gap in the region, in which countries present levels of access still quite inferior when compared to developed countries. On the other hand, the gap on Internet use is more difficult to close. It is directly linked to education, income and culture, among other aspects. The study shows that in most LAC countries, commercial Internet access facilities are the most important locale for Internet use, with the exception of those few countries that have a larger middle class and more resources, where the household proves to be an important place for individual access, as we see in developed countries. That means that for individuals from the poorest quintiles, shared access seems to be the only viable solution to Internet access, especially considering that the value of equipment and connection are still too high in relation to the per-capita-income in the region. Finally, regarding the activities undertaken by individuals in the LAC region, we see that education needs to be prioritized, in order to take the use of the network beyond communication and leisure in favour of more sophisticated activities that could effectively mean better education, job opportunities and quality of life. Further efforts to produce ICT-access-and-use indicators are therefore essential in order to assess current dynamics and determine the real digital divide and stage of ICT evolution in the countries of the region. Analysis of the impact of ICT on different sectors of society is crucial to elaborating accurate policies for the information society. This is especially important for identifying how ICT can accelerate the dissemination of knowledge. In this way, tools such as the OSILAC Statistical Information System on ICT are crucial to the development of public policies in the region.
  • 21. BALBONI et al.: Progress and challenges of measuring the information society… 79 Endnotes [1] OSILAC, the Observatory for the Information Society in Latin America and the Caribbean, is supported by the Institute for Connectivity in the Americas (ICA) and the International Development Research Centre (IDRC) of Canada. [2] Several reference documents with revisions and analysis of the ICT core indicators can be found, both for households and for business, which have been subject of constant study, i.e. OSILAC (2007c and 2010), ITU (2009), Partnership (2005a, 2005b, 2008 and 2010), UNCTAD (2007 and 2009). [3] More information in http://www.cepal.org/socinfo/osilac/ . [4] See in http://www.cepal.org/cgi-bin/getProd.asp?xml=/publicaciones/xml/3/32163/ P32163.xml&xsl=/ddpe/ tpl/p9f.xsl&base=/socinfo/tpl/top-bottom.xsl. [5] In the case of NHS, according to Partnership (2010), the indicators developed by OSILAC are separated into access indicators, collected at the household level, and use indicators, which apply to individuals. [6] Statistics obtained based on the official information reported by countries. Note that in most of the Population Censuses of the Latin American and Caribbean countries there are questions on computer and Internet access in the module corresponding to household’s goods and services (OSILAC, 2007b and 2010). [7] Available in http://www.cepal.cl/tic/flash [8] For this study, the latest data available on the Statistical Information System on ICT was used for the Latin American region, and for comparisons with the European Union the data was based on the ITU and Eurostat. [9] Although the categories of analysis for each variable are not strictly the same, we’ve conducted the exercise of putting together and in the same scale the graphs of calculated indicators of the Statistical Information System on ICT and the Eurostat – Data Explorer in order to compare them with sufficient cautions. In the case of income in Latin American countries we usually managed the quintiles of income as measure and we found Eurostat data on quartiles of income. [10] There are also available data from 2009 but the difference on the year base could bias the comparison and show gaps even wider between Latin American and Caribbean countries and European Union countries. [11] As mentioned before, we have compared quartiles of income in EU with quintiles of income in Latin America. We focused the analysis on the highest subgroup of income taking into account that the gaps could be even wider because we usually compared the 25% of the richest households in EU with the 20% of the richest households in Latin American countries. [12] It does not include mobile broadband subscriptions. [13] Percentages obtained over the total of Internet users. In the case of Latin American and Caribbean countries we restricted the population scope to individuals aged 15-74.
  • 22. 80 ESTADÍSTICA (2010), 62, 179, pp. 59-85 [14] Most countries of the region do not use the reference period of 12 months in the questions on individual use of ICT References BALBONI, MARIANA REIS (2007). “Por detrás da inclusão digital – Uma reflexão sobre o consumo e a produção de informação em centros públicos de acceso à Internet no Brasil”. PhD thesis, Doutorado em Ciências da Comunicação), Universidade de São Paulo, São Paulo. http://www.teses.usp.br/teses/disponiveis/27/27154/tde-10102007-120815/ CELEDÓN, MARÍA ANGÉLICA AND RAZETO, ALICIA (2009). “La transformación de puntos de acceso en nodos de conocimiento: análisis de diez experiencias de telecentros comunitarios en América Latina”. United Nations, Santiago de Chile. www.eclac.org/publicaciones/xml/8/35778/W233.pdf GRAZZI, MATTEO AND VERGARA, SEBASTIÁN (2009). “ICT Access in Latin America: Evidence from Household Level.” UN-ECLAC, Division of Production, Productivity and Management. Mimeo. GRAZZI, MATTEO (2009). “Patterns of Internet Use in Latin America.” UN- ECLAC, Division of Production, Productivity and Management. Mimeo. IDRC (2007). Digital Poverty: Latin American and Caribbean Perspectives. http://www.idrc.ca/openebooks/342-3/ ITU (2009). Manual for measuring ICT Access and Use by Households and Individuals. http://www.itu.int/dms_pub/itu-d/opb/ind/D-IND-ITCMEAS-2009- PDF-E.pdf MECOVI (1997-2003). Program for the Improvement of Surveys and the Measurement of Living Conditions in Latin America and the Caribbean. ECLAC, Inter-American Development Bank and World Bank. Presentations and results of the Regional Workshops in http://www.eclac.cl/deype/mecovi/index.htm KATZ, JORGE AND HILBERT, MARTIN (2003). Los caminos hacia una sociedad de la información en América Latina y el Caribe. Naciones Unidas, Santiago de Chile. www.eclac.org/publicaciones/xml/9/12899/lcg2195e2.pdf OSILAC (2007a). “Characteristics of households with ICTs in Latin America and the Caribbean.” ECLAC - ICA/IDRC. Santiago de Chile. http://www.cepal.org/ddpe/publicaciones/xml/9/32189/W171.pdf
  • 23. BALBONI et al.: Progress and challenges of measuring the information society… 81 OSILAC (2007b). “Patrones de penetración de los bienes y servicios TIC en los hogares de América Latina y el Caribe. Análisis basados en datos Censos Nacionales de Población y Vivienda de la ronda del 2000”. ECLAC - ICA/IDRC. Santiago de Chile. http://www.cepal.org/publicaciones/xml/3/32233/lcw173.pdf OSILAC (2007c). “Compendium of Practices on the implementation of ICT questions in household and business surveys in Latin America and the Caribbean.” ECLAC - ICA/IDRC. Santiago de Chile. http://www.cepal.org/ddpe/publicaciones/xml/4/32164/W169_Ingles.pdf OSILAC (2009b). “Analysis of methodological issues and new ICT indicators for Latin America and the Caribbean.” (in cooperation with the Working Group on Information and Communications Technologies (ICT) of the Statistical Conference of the Americas). UN-ECLAC. Santiago de Chile. http://www.eclac.cl/publicaciones/xml/2/36592/LCL3078i.pdf OSILAC (2010). “Compendio de Prácticas sobre Implementación de Preguntas de TIC en Encuestas de Hogares y Empresas Revisión 2010”. Division of Production, Productivity and Management. UN-ECLAC. http://www.eclac.org/publicaciones/xml/8/40928/W340.pdf. PARTNERSHIP ON MEASURING TIC FOR DEVELOPMENT (2005a). Measuring ICT: the global status of ICT Indicators. United Nations ICT Task Force, New York. http://www.eclac.org/socinfo/noticias/documentosdetrabajo/1/23121/A5-Partnersh- ip%20global%20stocktaking.pdf PARTNERSHIP ON MEASURING TIC FOR DEVELOPMENT (2005b). Core ICT Indicators. United Nations, Santiago de Chile. http://www.cepal.org/socinfo/noticias/documentosdetrabajo/6/23116/CoreIndicator sEnglish.pdf PARTNERSHIP ON MEASURING TIC FOR DEVELOPMENT (2007). “Report of the Partnership to the 38th session of the United Nations Statistical Commission” (27 February - 2 March 2007, New York). E/CN.3/2007/5. http://unstats.un.org/unsd/statcom/doc07/2007-5e-ICT.pdf. PARTNERSHIP ON MEASURING TIC FOR DEVELOPMENT (2008). “Revisions and Additions to the Core List of ICT Indicators.” http://www.itu.int/ITU-D/ict/partnership/material/CoreICTIndicators_e_rev2.pdf.
  • 24. 82 ESTADÍSTICA (2010), 62, 179, pp. 59-85 PARTNERSHIP ON MEASURING TIC FOR DEVELOPMENT (2009a). “Report of the Partnership to the 40th session of the United Nations Statistical Commission” (24 February - 27 February 2009, New York). E/CN.3/2007/5. http://unstats.un.org/unsd/statcom/sc2009.htm. PERES, WILSON AND HILBERT, MARTIN (2008). La sociedad de la información en América Latina y el Caribe: desarrollo de las tecnologías y tecnologías para el desarrollo. Libros de la CEPAL. 98 (LC/G.2363-P) . UN- ECLAC, Division of Production, Productivity and Management, Santiago de Chile. http://www.eclac.org/cgi-bin/getProd.asp?xml=/publicaciones/xml/2/36002/P3600- 2.xml&xsl=/ddpe/tpl/p9f.xsl&base=/socinfo/tpl/top-bottom.xslt REGULATEL (2007). ”Nuevos modelos para el acceso universal de los servicios de telecomunicaciones en América Latina”. Regulatel, UN-ECLAC and World Bank. SCHULZ, CHRISTIAN, Y OLAYA, DORIS (2005). “Toward an Information Society measurement instrument for Latin America and the Caribbean: getting started with Census, household and business surveys.” United Nations, ECLAC - ICA/IDRC, Santiago de Chile. http://www.cepal.org/publicaciones/DesarrolloProductivo/4/LCW14/DOC3%20LC W14TowardOlaya-Schulz.pdf UNCTAD (2007). Manual de producción de estadísticas sobre la economía de la información. United Nations. Presented in the Fourth Workshop on Information Society Measurement in Latin America and The Caribbean. Rio de Janeiro. UNCTAD (2009). Manual for the Production of Statistics on the Information Economy. Revised Edition. United Nations. http://www.eclac.cl/socinfo/noticias/documentosdetrabajo/3/39913/Manual_Uncta d_2009.pdf WORLD SUMMIT ON THE INFORMATION SOCIETY (WSIS) (2005). “Tunis Agenda for the Information Society.” WSIS-05/TUNIS/DOC/6 (Rev.1)-E. http://www.itu.int/wsis/docs2/tunis/off/6rev1.html. Received October 2009 Revised March 2011
  • 25. BALBONI et al.: Progress and challenges of measuring the information society… 83 Annex 1. Revised list of ICT core indicators Revised list of core indicators on access to, and use of, ICT by households and individuals HH1 Proportion of households with a radio HH2 Proportion of households with a TV HH3 Proportion of households with telephone Fixed telephone only Mobile cellular telephone only Fixed and mobile cellular telephone HH4 Proportion of households with a computer HH5 Proportion of individuals who used a computer (from any location) in the last 12 months HH6 Proportion of households with Internet access at home HH7 Proportion of individuals who used the Internet (from any location) in the last 12 months HH8 Location of individual use of the Internet in the last 12 months: Home Work Place of education Another person’s home Community Internet access facility Commercial Internet access facility Any place via a mobile cellular telephone Any place via other mobile access devices HH9 Internet activities undertaken by individuals in the last 12 months (from any location) Getting information about goods or services Getting information related to health or health services Getting information from general government organizations Sending or receiving e-mail Telephoning over the Internet/VoIP Posting information or instant messaging Purchasing or ordering goods or services Internet banking Education or learning activities Playing or downloading video games or computer games Downloading movies, images, music, watching TV or video, or listening to radio or music
  • 26. 84 ESTADÍSTICA (2010), 62, 179, pp. 59-85 Downloading software Reading or downloading on-line newspapers or magazines, electronic books HH10 Proportion of individuals with use of a mobile cellular telephone HH11 Proportion of households with access to the Internet by type of access Narrowband Fixed broadband Mobile broadband HH12 Frequency of individual use of the Internet in the last 12 months (from any location) At least once a day At least once a week but not every day Less than once a week HHR1 Proportion of households with electricity Source: Partnership on Measuring ICT for Development, Revisions and Additions to the Core List of ICT Indicators [online] http://unstats.un.org/unsd/statcom/doc09/BG-ICTIndicators.pdf, 2009.
  • 27. BALBONI et al.: Progress and challenges of measuring the information society… 85 Summarized list of core indicators proposed for measuring ICT through business surveys B1 Proportion of businesses using computers B2 Proportion of persons employed routinely using computers B3 Proportion of businesses using the Internet B4 Proportion of persons employed routinely using the Internet B5 Proportion of businesses with a web presence B6 Proportion of businesses with an intranet B7 Proportion of businesses receiving orders over the Internet B8 Proportion of businesses placing orders over the Internet B9 Proportion of businesses using the Internet by type of access (narrowband, broadband (fixed, mobile)) B10 Proportion of businesses with a local area network (LAN) B11 Proportion of businesses with an extranet B12 Proportion of businesses using the Internet by type of activity: Sending or receiving e-mail Telephoning over the Internet/VoIP Posting information or instant messaging Getting information about goods or services Getting information from general government organizations Interacting with general government organizations Internet banking Accessing other financial services Providing customer services Delivering products on line Internal or external recruitment Staff training Source: Partnership on Measuring ICT for Development, Revisions and Additions to the Core List of ICT Indicators [online] http://unstats.un.org/unsd/statcom/doc09/BG-ICTIndicators.pdf, 2009.