IFPRI Household Survey, Family Welfare Indicator, Inequality, Household Characteristics, Budget Shares, Education, Employment, Assets, Housing, Credit and Savings, Access to Facilities, and Social Safety Net Participation by Income Groups, by Dr. Akhter Ahmed, IFPRI
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Spatial Modelling Approach to Clustering the Furniture Industry and Regional ...CIFOR-ICRAF
About 95% of the furniture industry in Indonesia is managed in small-scale and medium enterprises. These enterprises naturally form clusters, but are not necessarily efficiently distributed in terms of obtaining wood material and marketing. This inefficiency can make the industry less competitive. In this presentation, CIFOR researcher Rubeta Andriani provides spatial analysis of small- and medium-sized furniture enterprises in Jepara, Central Java, which contribute 10% to Indonesia’s national furniture export value (US$1.5 billion). The spatial analysis provides options for making more efficient enterprise clusters for regional development. She gave this presentation at the MODSIM International Congress on Model and Simulations held on 12–16 December 2011 in Perth. The conference took the theme ‘Sustaining Our Future: understanding and living with uncertainty’.
The document summarizes the Systems of Crop Intensification (SCI) program implemented by Trust Microfin Network (TMN) to strengthen livelihoods of small farmers in Uttar Pradesh and Bihar. It provides data on the pilot program in 2010 covering 87 farmers across 18 villages, which found average yields increased by 46.3% using SCI techniques. The program then expanded in 2011 to cover over 1,400 farmers across 74 villages. Key challenges included low adoption rates, ensuring repeat use of techniques, availability of farm implements, and developing a cadre of local resource persons to promote adoption.
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This document summarizes statistics on internally displaced persons (IDPs) from Khyber Pakhtunkhwa (KP) and the Federally Administered Tribal Areas (FATA) of Pakistan as of December 31, 2012. It finds that there were a total of 163,102 registered IDP families, with 146,988 (90%) living in host communities and 16,114 (10%) living in camps. The largest numbers of IDPs came from Khyber Agency (65,435 families), Orakzai Agency (26,236 families), and Peshawar (70,113 families in host communities). Displacement and return trends over 2012 are also shown.
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Social Inclusion in the 12th Plan (2012 - 2017)NITI Aayog
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The document provides statistics on the Samurdhi poverty alleviation program in Sri Lanka, including:
1) The program has over 1.5 million beneficiary families served across 22 districts, 317 divisions, and over 14,000 grama niladhari divisions.
2) The percentage of families below the poverty line has decreased from 24% in 2000 to 15% in 2010.
3) The Divi Neguma national program aims to establish 1.5 million domestic economic units through activities like agriculture, animal husbandry, fisheries, and cottage industries.
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The document provides an overview of India's large population and growing economy. Some key points:
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RadiciGroup at 6th European Nylon Symposium - 27-28 February 2012 RadiciGroup
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The document presents 5 ways to earn income through a multi-level marketing company, including direct selling, direct sponsorship incentives, unilevel incentives, product rebates, and business center incentives. It provides details on costs, selling prices, and potential earnings for different product packages. It also outlines the benefits of membership, such as discounts, a funeral service program, educational assistance opportunities, and access to livelihood training programs and medical/dental missions.
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2) BRICSS nations now contribute around 11% of global IT spending, with China and India being the largest markets.
3) For cloud computing to succeed in BRICSS nations, solutions need characteristics like affordability, localization, and an ability to work with limited infrastructure.
4) CIO priorities in BRICSS nations like cost reduction, analytics,
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Renewables and efficiency in the power sector, oct 18th new delhi ag csdSrinivasan Ramani
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The document provides information about financial goal planning and retirement. It discusses the importance of prioritizing goals such as protection against death, a happy retirement, and providing a better future for children. It recommends creating a reserve fund and savings plan using the 4C formula of creation, consumption, conservation, and continuation of income. Tables show projected costs of living and education expenses over time under inflation. The document stresses the importance of starting to save early in order to afford retirement and children's education without burdening them later in life.
A presentation on the growth of modern India, the challenges that remain for the country, and how westerners can best communicate effectively in a business context
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2007:The Impact of Cattle and Beef Prices on Incomes and Poverty in Botswanaeconsultbw
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More from International Food Policy Research Institute- South Asia Office (20)
Profile of the feed the future zone in the south and other regions of bangladesh
1. Profile of the Feed the Future Zone in the
South and Other Regions of Bangladesh
Akhter Ahmed
Chief of Party
Bangladesh Policy Research and Strategy Support Program
International Food Policy Research Institute
Workshop on
The Feed the Future Zone in the South and the Rest of Bangladesh:
A Comparison of Food Security Aspects
16 January 2013
Dhaka
2. Bangladesh Integrated Household Survey
IFPRI designed the Bangladesh Integrated Household Survey (BIHS) to
created a baseline for the Feed the Future (FTF) zone in southern
Bangladesh. This carefully collected data will be a point of reference
against which the FTF progress can be measured. The survey will be
repeated for mid-term and end-line evaluation of FTF.
In addition, this nationally representative survey provides an integrated
data platform to carry out a variety of studies with policy implications for
food security and agricultural development.
BIHS has been approved and facilitated by the Government of Bangladesh
(Ministry of Food)
BIHS sample is:
nationally representative of rural Bangladesh
representative of rural areas of each of the 7 administrative
divisions of the country
representative of the FTF Zone of Influence
BIHS started in October 2011 and ended in March 2012
2
3. BIHS Sampling
The sampling process and survey administration included the following
steps:
Listed all villages in each of the stratum (7 divisions and the FtF
zone of influence)
In each stratum, randomly selected villages (PSUs) with probability
proportional to size (PPS) sampling using the number of households
in the 2001 population census data
Conducted complete census in each of the 325 selected villages
Randomly selected 20 households from each village from census list
Male and female enumerators interviewed, respectively, male and
female respondents of each selected household.
3
4. Sampling of FTF Stratum
Over-sampled the FTF zone of
influence in the BIHS sampling frame
to make the sample statistically
representative of the FTF zone
102 primary sampling units (villages)
belong to each of the 20 FTF districts
Conducted complete census in 102
villages; randomly selected 20
households from each village
Total FTF sample size: 2,040
households; 8,364 persons
4
5. BIHS Modules
Household demographic composition, education attainment and cost,
occupation and employment, dwelling characteristics, assets, credit and
savings, migration and remittances, nonfarm enterprises, safety net
participation
Landownership and tenure; agricultural production, input use and costs
(plot-level data); livestock, poultry and fisheries production practices;
marketing practices and revenues
Food and nonfood expenditures
Dietary intakes of individual household members
Health and morbidity, child care, water and sanitation
Anthropometric measurements of all household members
Infant & child feeding practices, immunization, nutrition awareness, care
during pregnancy
Data to construct Women Empowerment in Agriculture Index
6. Survey Administration
For implementing the BIHS, IFPRI engaged the Data Analysis and Technical
Assistance Limited (DATA), a Bangladeshi consulting firm with expertise in
conducting complex surveys and data analysis. DATA’s capacity to conduct
surveys to collect high-quality data was largely built by IFPRI over the past
18 years. DATA works under the supervision and guidance of senior IFPRI
researchers.
DATA provided 140 experienced enumerators (70 female and 70 male)
and 20 supervisors (3 female and 17 male) to administer the BIHS.
The training of the survey enumerators consisted of a formal classroom
component as well as closely monitored practice fieldwork. The training
was conducted by IFPRI researchers and senior DATA staff.
IFPRI and DATA took much care to ensure the quality of the household
survey data. IFPRI researchers made frequent field visits to supervise the
fieldwork.
8. Family Welfare Indicator:
Percent of people living on less than PPP $1.25/day
70
65.5
60
50
Percent of population
41.8 42.4
40.5
40 38.2
35.8 35.6
34.0
31.0
30
20
10
0
FTF zone Barisal Chittagong Dhaka Khulna Rajshahi Rangpur Sylhet Bangladesh
8
10. Dependency Ratio
(Number of household members aged 0-14 years and above 60 years divided by the
number of members of working age of 15 to 60 years)
120
110
100 100
100
90 90
80 80
80
70 70
Percent
60
40
20
0
FTF zone Barisal Chittagong Dhaka Khulna Rajshahi Rangpur Sylhet Bangladesh
10
14. Calorie Deficient Households by Income Groups:
FTF Zone
100
90
80
72.8
Percent of households
70
60
50 45.2
40
29.0
30
20 15.2
12.3
10
0
1 (poorest) 2 3 4 5 (richest)
Per capita expenditure quintile
Consuming <2,122 kcal/person/day Consuming <1,805 kcal/person/day
14
15. Food Energy (calorie) Share of Rice
78 77.0
76
Percent of total household calorie
74
72.2
72 71.6
71.1 71.1 71.1
70.6
70.0
70
68
66.4
66
64
62
60
FTF zone Barisal Chittagong Dhaka Khulna Rajshahi Rangpur Sylhet Bangladesh
15
16. FTF Zone: Food Energy-Income Relationship
and Energy Intakes from Rice
3000 100
2,462
Percent of total calories from rice
Calorie intakes (kcal/person/day)
2500 77 2,340
74 2,185 80
2,063 73
69
2000 1,854 65
60
1500
40
1000
20
500
0 0
1 (poorest) 2 3 4 5 (richest)
Per capita expenditure quintile groups
Total calories Percent of total calories from rice 16
17. Adult Literacy Rate of People Aged 15 Years and Over
100
90
80
70 65.9 64.0
Percent of population
65.1 64.3
62.7
59.2 60.5 60.5
58.9 57.6
60 54.9 54.4
53.4 53.3
50.8 50.4 50.9
50 48.2
40
30
20
10
0
FTF zone Barisal Chittagong Dhaka Khulna Rajshahi Rangpur Sylhet Bangladesh
Male Female
17
18. Years of Schooling of People Aged 15 Years and Over
6
5.1
4.8 4.9
5
4.6 4.6
4.4 4.4 4.3
4.1 4.2
4.0 4.0 3.9
4
Years of schooling
3.6 3.7 3.6
3.6
3.2
3
2
1
0
FTF zone Barisal Chittagong Dhaka Khulna Rajshahi Rangpur Sylhet Bangladesh
Male Female
18
19. No Schooling of People Aged 15 Years and Over
70
60
51.8
48.6 49.4 49.4 48.3
50 46.4 45.9
44.5
41.4 42.4 42.3
40.5 39.5
40 37.8
Percent
35.9 36.2
33.9
32.4
30
20
10
0
FTF zone Barisal Chittagong Dhaka Khulna Rajshahi Rangpur Sylhet Bangladesh
Male Female
19
20. Net Primary School Enrolment Rate of Children
100
88.9 91.3
90 85.6 85.4 86.8 86.4
82.6 83.5 82.1 83.0
82.1 80.7 81.4 79.4
80 77.5 77.2 78.0 77.7
70
60
Percent
50
40
30
20
10
0
FTF zone Barisal Chittagong Dhaka Khulna Rajshahi Rangpur Sylhet Bangladesh
Boys Girls
20
21. Net Secondary School Enrolment Rate of Children
100
88.9
90
80 75.1 74.4 76.2
72.3 72.7 74.5 72.1
71.6
68.6
70 66.2 64.9 64.2 64.3 63.3
58.6
60 55.3
Percent
49.0
50
40
30
20
10
0
FTF zone Barisal Chittagong Dhaka Khulna Rajshahi Rangpur Sylhet Bangladesh
Boys Girls
21
22. Principal Occupation of Household Head
50 47.5
45 43.3
40
Percent of households
35
30
25
20
15 12.3 11.7
11.2 11.4
10
4.7 4.1 4.3 5.1 4.6 4.0
5
0
FTF zone Rural Bangladesh
Farming Agriculture day laborer Non-agriculture day laborer
Business/trade Rickshaw/van puller Salaried
22
23. Households with Electricity Connection and Solar Panel
60 56.3
54.4
50.2 49.5
50 47.5
45.3
43.3 42.9
Percent of households
40
30 26.0
20
10.2
10 6.0 7.2
3.6 3.7 3.4
1.9 1.9 1.5
0
FTF zone Barisal Chittagong Dhaka Khulna Rajshahi Rangpur Sylhet Bangladesh
Electricity Solar panel
23
24. Use of Kerosene as the Main Source of Lighting Fuel
80
70.7
70
60
Percent of households
54.5
51.8
48.8 48.0
50 45.1 45.7
43.7
40 37.2
30
20
10
0
FTF zone Barisal Chittagong Dhaka Khulna Rajshahi Rangpur Sylhet Bangladesh
24