This presentation by Hiro Odagiri, Professor, Department of Economics, Hitotsubashi University, was made during the discussion “Market Concentration” held at the 129th meeting of the OECD Competition Committee on 7 June 2018. More papers and presentations on the topic can be found out at oe.cd/2gw.
This presentation by the UK Competition and Markets Authority was made during the discussion “Market Concentration” held at the 129th meeting of the OECD Competition Committee on 7 June 2018. More papers and presentations on the topic can be found out at oe.cd/2gw.
Dear Readers,
We are pleased to present TransPrice Times for the first fortnight of June 2016.
In this bulletin, OECD continues to propose key inputs and seeks to incorporate major issues and amendments relating to Action 8-10 (Transfer Pricing), Action 13 (CbC reporting) and Action 15 (Multilateral Instruments) of the BEPS Project.
Further, some key issues in the Indian litigation revolving around use of multiple year data, attribution of profits and marketing intangibles are addressed.
We hope you find this newsletter both timely and useful, and we look forward to your feedback and suggestions to improve it further. You can write to us at akshaykenkre@transprice.in
Happy Reading!!!
This presentation by Hiro Odagiri, Professor, Department of Economics, Hitotsubashi University, was made during the discussion “Market Concentration” held at the 129th meeting of the OECD Competition Committee on 7 June 2018. More papers and presentations on the topic can be found out at oe.cd/2gw.
This presentation by the UK Competition and Markets Authority was made during the discussion “Market Concentration” held at the 129th meeting of the OECD Competition Committee on 7 June 2018. More papers and presentations on the topic can be found out at oe.cd/2gw.
Dear Readers,
We are pleased to present TransPrice Times for the first fortnight of June 2016.
In this bulletin, OECD continues to propose key inputs and seeks to incorporate major issues and amendments relating to Action 8-10 (Transfer Pricing), Action 13 (CbC reporting) and Action 15 (Multilateral Instruments) of the BEPS Project.
Further, some key issues in the Indian litigation revolving around use of multiple year data, attribution of profits and marketing intangibles are addressed.
We hope you find this newsletter both timely and useful, and we look forward to your feedback and suggestions to improve it further. You can write to us at akshaykenkre@transprice.in
Happy Reading!!!
This report provides an overview of the Application Outsourcing (AO) market for the banking and capital markets industry in Europe, through an in-depth analysis of large-sized AO contracts (i.e., contracts over US$25 million in TCV and over three years in duration). The report analyzes key demand drivers, adoption & scope trends, emerging priorities of buyers, key investment themes, and future outlook for IT AO in the European banking and capital markets sector. Further, the report includes an assessment of the capability and market success of 22 banking AO service providers and 15 capital markets AO providers in Europe and their mapping on Everest Group Performance | Experience | Ability | Knowledge (PEAK) Matrix
AN EVALUATION OF THE PERCEIVED BENEFITS OF ELECTRONIC BUSINESS ADOPTION IN TH...ectijjournal
The study evaluated the perceived benefits of electronic business adoption in the Zimbabwean service sector
in Harare. A qualitative case study was adopted. The interview technique was deployed as a data gathering
instrument. Purposive sampling was used to select 100 service sector companies registered on the Zimbabwe
Stock Exchange (SZE).The findings revealed that electronic business is a catalyst to organisational
profitability and productivity. The study also discovered that electronic business improves communication
and open economy at national and international level. The study recommended that in order for the
sustainable growth of electronic business to take place, the institutional environment requires to be in favour
of the online trading systems.
Industry Trends Report - Q3 2013 - Preview DeckEverest Group
The quarterly Industry Trends reports are focused on providing industry-specific data, developments, and insights. Industry Trends provide the research and analysis that enable users to navigate through complexity and make clear, effective decisions contextualized and suited to their specific industry. These reports provide detailed information on transaction activities, Global In-house Center (GIC) developments, service providers' market shares, and key outsourcing transactions specific to particular industries.Industry Trends series currently covers 8 industries (Banking, Financial Services, & Insurance; Manufacturing, Distribution, & Retail; Energy & Utilities; Healthcare; Technology; Telecom; Public Sector; and Travel and Hospitality) which account for majority of the outsourcing and offshoring activity.
This presentation by Beata Javorcik, Chief Economist, European Bank for Reconstruction and Development, was made during the discussion “Trade, Development and Competition” held at the 20th meeting of the OECD Global Forum on Competition on 7 December 2021. More papers and presentations on the topic can be found out at oe.cd/tdc.
KPIT offers exposure to a highly attractive, rapidly expanding market (Automotive Electronics, Manufacturing and Energy & Utility), alongside an ability to capitalise as a low‐cost disruptor with compelling technology like ‘Revolo’. KPIT has one of the strongest industry positioning profiles in the Automotive Segments. Retain buy.
Global organizations are increasingly under scrutiny by local regulations when it comes to e-invoicing. New government mandates that carry strict rules on the handling of electronic business documents have a strong impact on the ways how organizations interact with their business partners.
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This report provides an overview of the Application Outsourcing (AO) market for the banking and capital markets industry in Europe, through an in-depth analysis of large-sized AO contracts (i.e., contracts over US$25 million in TCV and over three years in duration). The report analyzes key demand drivers, adoption & scope trends, emerging priorities of buyers, key investment themes, and future outlook for IT AO in the European banking and capital markets sector. Further, the report includes an assessment of the capability and market success of 22 banking AO service providers and 15 capital markets AO providers in Europe and their mapping on Everest Group Performance | Experience | Ability | Knowledge (PEAK) Matrix
AN EVALUATION OF THE PERCEIVED BENEFITS OF ELECTRONIC BUSINESS ADOPTION IN TH...ectijjournal
The study evaluated the perceived benefits of electronic business adoption in the Zimbabwean service sector
in Harare. A qualitative case study was adopted. The interview technique was deployed as a data gathering
instrument. Purposive sampling was used to select 100 service sector companies registered on the Zimbabwe
Stock Exchange (SZE).The findings revealed that electronic business is a catalyst to organisational
profitability and productivity. The study also discovered that electronic business improves communication
and open economy at national and international level. The study recommended that in order for the
sustainable growth of electronic business to take place, the institutional environment requires to be in favour
of the online trading systems.
Industry Trends Report - Q3 2013 - Preview DeckEverest Group
The quarterly Industry Trends reports are focused on providing industry-specific data, developments, and insights. Industry Trends provide the research and analysis that enable users to navigate through complexity and make clear, effective decisions contextualized and suited to their specific industry. These reports provide detailed information on transaction activities, Global In-house Center (GIC) developments, service providers' market shares, and key outsourcing transactions specific to particular industries.Industry Trends series currently covers 8 industries (Banking, Financial Services, & Insurance; Manufacturing, Distribution, & Retail; Energy & Utilities; Healthcare; Technology; Telecom; Public Sector; and Travel and Hospitality) which account for majority of the outsourcing and offshoring activity.
This presentation by Beata Javorcik, Chief Economist, European Bank for Reconstruction and Development, was made during the discussion “Trade, Development and Competition” held at the 20th meeting of the OECD Global Forum on Competition on 7 December 2021. More papers and presentations on the topic can be found out at oe.cd/tdc.
KPIT offers exposure to a highly attractive, rapidly expanding market (Automotive Electronics, Manufacturing and Energy & Utility), alongside an ability to capitalise as a low‐cost disruptor with compelling technology like ‘Revolo’. KPIT has one of the strongest industry positioning profiles in the Automotive Segments. Retain buy.
Global organizations are increasingly under scrutiny by local regulations when it comes to e-invoicing. New government mandates that carry strict rules on the handling of electronic business documents have a strong impact on the ways how organizations interact with their business partners.
IT Outsourcing in Insurance - Service Provider Profile Compendium 2013Everest Group
In this research, we present detailed profiles of the 20 service providers featured on the insurance AO PEAK Matrix. Each service provider profile offers a comprehensive picture of their service suite, scale of operations, domain investments, delivery locations, and buyer satisfaction
In a world of Global Value Chains, understanding MNEs – where they are, how they operate, where they pay taxes – has never been more important. However, surprisingly little official statistics are currently available on individual MNEs.
To fill this gap the OECD has begun to develop a new database – the Analytical Database on Individual Multinationals and Affiliates (ADIMA) – using a number of open big data sources that can provide new insights on individual MNEs and their global profiles.
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Oppgavegiveren: Meeting user needs cost-effectively
1. Meeting User needs cost-
effectively
Toward increased coherence in the international
Trade by Enterprise Characteristics (TEC) framework
Nordic Statistical Association 2013
14th – 16th august 2013
2. Increased user-demands for trade data disseminated at the
micro-level
The question is not solely “what do countries trade?” but “what
kind of enterprises is behind that trade?” (size, activity,
ownership etc.)
Respond: the Trade by Enterprise Characteristics (TEC)
database since 2005
Links micro-data from ITGS with the Statistical business
register (SBS), however:
Despite high degree of coherence, several methodological
challenges remain unsolved
Services are not included but STEC-database in pipeline
Short introduction and outline
2
3. The paper include two different issues regarding
Trade by Enterprise Characteristics
This presentation will present these two issues
independently:
1. The issue of complex enterprises and estimated trade
2. The issue of adapting the TEC framework to the ITSS
Short introduction and outline
3
4. SBR’s handling of complex enterprises is insufficient
for this purpose
“Complex enterprises” identified by use of the
superior number (UHO-system) which is unique to
the Danish ITGS
The UHO system provides an automated method for
identifying complex enterprises by providing a
linkage of legal units that are financially interrelated
(“enterprise group”) through the allocation of a
superior number (UHO-number).
Treatment of complex enterprises
4
5. 508 complex enterprises (out of ~8000 enterprises)
with 1986 legal numbers
26 pct. of total exports, 22 pct. of total imports
Most have only two legal numbers (291) but 58 have
more than 5 legal numbers
These complex enterprises often report trade on a
legal number with no or very few employees; and
often legal units within the same complex enterprise
have many employees but no trade
→ A lot of trade is matched with a “wrong” legal
number in the SBR
Treatment of complex enterprises
5
6. Suggested solution
The high-number of complex enterprises combined
with a relatively low number of “very complex
enterprises” suggests that a two-string approach
combining an automated process with a manual
“check-and-adjust” follow-up on the most
complicated enterprises is appropriate
Treatment of complex enterprises
6
7. Step 1: Establish the link between traders and enterprises on a monthly basis.
Step 2: Use the one-to-one and many-to-one linkages to calculate the median
trade M (import and export taken together) per person employed per
activity group.
Step 3: For all traders in one-to-one or many-to-one linkages between traders
and enterprises allocate monthly trade to the one and only identified
enterprise.
Step 4: For all enterprise in one-to-many linkages between traders and
enterprises calculate an estimated trade E by multiplying M with the
number of persons employed by the enterprise.
Step 5: For all traders in one-to-many linkages between traders and
enterprises allocate trade proportionally to E over all identified
enterprises.
Treatment of complex enterprises
7
8. ~10 pct. of the total sum of estimated trade is
allocated to specific UHO-numbers, i.e. estimated
trade is currently impossible to allocate to the
enterprise level
The estimation-process as such is based on
individual UHO-numbers…
…but the subsequent allocation of estimated trade to
specific countries and goods is not, which impedes
the allocation of such trade to individual enterprises
Allocation of estimated trade to
appropiate legal numbers
8
9. Allocation of estimated trade to the enterprise-level
should be secured through an improvement of the
current system for allocation of estimated trade to
specific countries and goods.
When all estimated trade is allocated to specific
UHO-numbers, it can then be allocated further to
legal units by the automated process.
Allocation of estimated trade to
appropiate legal numbers
9
10. Conclusions
The issues of complex enterprises and allocation of
estimated trade when compiling TEC data need to be
addressed to secure a more robust TEC statistics
Not least seen in the light of new data requirements (export
intensity and more detailed classification by activity sector)
Complex enterprises and estimated
trade
10
11. Different sources in the ITGS and the ITSS
…leads to new challenges
Distributing estimated trade to enterprises not included in
the sample
Representivity of population
Adapting TEC framework on the ITSS
11
12. Short presentation of the sources for the ITSS
Adapting TEC framework on the ITSS
12
ITS survey
Travel
statistics
ITGS
Other sources
ITSS
Total population
~40.000 enterprises
Survey
~1.500
enterprises
13. Trade reported by ~1500 enterprises in the ITS
survey can be linked with SBR
Covers roughly 80 pct. of total service trade
Represent around 40000 enterprises
Other sources cannot be linked with SBR
Some cannot be linked due to the current method
- E.g. ITGS, government services and some insurance services
Other due to nature of the transaction
- Mainly the travel account
Adapting TEC framework on the ITSS
13
14. A closer look at the ITS survey
Directly reported trade covers ~85 pct. of the total trade in
the ITS survey (~68 pct. of the total ITSS)
~15 pct. has to be distributed to the rest of the population,
i.e. the ~38500 enterprises (40000 – 1500)
No correlated administrative data source available to help
distribute the estimated trade
Using a non-correlated variable, such as employees, has
certain drawbacks
- No “zero reporters” since all enterprises have employees
- Variance from the non-correlated variable is inherited by the ITS
Adapting TEC framework on the ITSS
14
15. What you cannot do when distributing with a non-
correlated variable
Count the number of enterprises engaged in ITS
Classify ITS by the non-correlated variable (e.g. by size if
number of employees are the non-correlated variable used
for the distribution of trade)
Classify ITS by other variables that are highly correlated
with the variable used for the distribution of trade
What you can do
Classify trade on a more aggregated level that are not highly
correlated with the variable used for the distribution of trade
Adapting TEC framework on the ITSS
15
16. Adapting TEC framework on the ITSS
16
ITS survey – Trade by activity for 2010
NACE rev. 2 Import Export
Division Mill. DKK
A Agriculture, forestry and fishing 720 076 1 149 996
B Mining and quarrying 2 127 235 1 075 557
C Manufacturing 28 099 256 29 167 990
D Electricity, gas, steam and air conditioning supply 1 830 779 2 025 810
E Water supply; sewerage, waste management and remediation activities 102 853 250 789
F Construction 679 574 373 834
G Wholesale and retail trade; repair of motor vehicles and motorcycles 12 326 885 21 171 280
H Transportation and storage 135 667 463 193 802 038
I Accommodation and food service activities 523 956 C
J Information and communication 15 613 411 15 137 626
K Financial and insurance activities 9 668 767 6 386 485
L Real estate activities 1 073 651 518 929
M Professional, scientific and technical activities 8 843 855 13 190 761
N Administrative and support service activities 9 083 828 5 571 938
O Public administration and defence compulsory social security 2 739 659 1 345 873
P Education 475 920 221 081
Q Human health and social work activities 25 798 274 022
R Arts, entertainment and recreation 368 794 303 333
S Other service activities 253 755 303 107
U Activities of extraterritorial organisations and bodies C C
Unknown acitvity 3 900 061 4 496 905
17. ITS survey updated roughly every 5 years
Population is ”frozen” at a given year (current population is
from 2007)
Mergers, exit, and entry change the composition of the
population over time
Adapting TEC framework on the ITSS
17
Matching ITSS population with SBR
Enterprises not found in SBR 2010 3.710
Total number Enterprises in 2007 snapshot 40.653
Enterprises in SBR 2010 not represented by ITSS population 4.501
Enterprises matching SBR 2010 and ITSS population 35.063
Share of total enterprises in 2007 snapshot 86,2 %
18. Conclusions
~68 pct. of the Danish ITSS can be directly linked with SBR
and produce unbiased TEC statistics
~12 pct. can be indirectly linked using a non-correlated
variable and can be used to produce some TEC statistics on
a more aggregated level depending on the variable used
~20 pct. cannot be linked with the SBR due to
methodological issues or by the nature of the trade
ITS survey loses representivity over time but the effect is
quite small (1.3 pct. of total trade in 2010)
Adapting TEC framework on the ITSS
18