| Rural Infrastructure and its Impact on Agricultural Performance in India |
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|
Kousik Das Malakar |
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|
secondary data |
micro |
|
India |
|
|
| Changing the Land Surface Temperature and degradation of Ecological Environment: A Case Study in Urban Heat Island areas of Kolkata and Medinipur, India by Using Geospatial Technology |
|
|
Kousik Das Malakar |
|
|
secondary data |
micro |
|
India, Kolkata, Medinpur |
|
|
| Flood Frequency Analysis Using Gumbel’s Method: A Case Study of Lower Godavari River Division, India |
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|
Kousik Das Malakar |
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|
secondary data |
micro |
|
|
|
|
| Rural Livelihood and Mangrove Degradation: A Case Study of Namkhana Block, West Bengal, India |
|
2020 |
Kousik Das Malakar |
Mangroves are a diverse group of trees, shrubs, palms, and ferns growing in the marine intertidal zone or estuarine margins zone where they formed transitional environmental links between inland terrestrial landscape and nearshore marine environment. It plays the role of a dynamic habitation between land and sea (Buffer coastal ecosystem). In my study area, Namkhana block in W.B. (near about world biggest Mangrove environment Sundarban), here I saw that Mangrove is morely degraded due to this area’s people's livelihood. So, I write a paper and find out what is the relation of this area’s Mangrove environment and people's livelihood. Mainly, focused temporally changing the land cover situation of the Namkhana block area’s Mangrove and how the rural livelihood was affected this area’s mangrove? and finally include conservation policy also. Because It feels that, ‘A sea coast without a Mangrove, it looks like a tree without any root!’ |
|
primary data |
micro |
|
India, Namkhana |
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|
| Microfinance, capabilities, and agency development among rural women: Evidence from Bangladesh |
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|
Mohammad Shahjahan Chowdhury |
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|
primary data |
micro |
|
Bangladesh |
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|
| Project Field Report: Rural Development of India (Physical and Socio-Economic Conditions of Baragere Village, Kharagpur-II, Paschim Medinipur, West Bengal) |
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|
Kousik Das Malakar |
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|
primary data |
micro |
|
India |
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|
| Complementarity analysis of the Priority Areas Development Program and the Priority Attention Areas Program in the National Crusade Against Hunger Program in indigenous municipalities in the State of Veracruz Mexico |
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|
Carlos Medel-Ramírez & Hilario Medel-López |
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|
primary data |
macro |
National Council for the Evaluation of Social Development Policy (CONEVAL) |
State of Veracruz, Mexico |
|
Binary Logistic Regression Model |
| Proposed methodology for estimating the index of social exclusion: the case of indigenous population in the state of Veracruz Mexico. |
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Carlos Medel-Ramírez, Hilario Medel-López |
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|
primary data |
macro |
|
Mexico |
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|
| Inequality in the Monetary and Functionings Spaces: The Case of Peru Under the First Garcia Government (1985-1990) |
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|
Francesco Burchi, Andrea Passacantilli |
In this article, we analyze inequality changes in Peru under the first Garcia government (1985–1990). Our findings indicate that stability in consumption inequality and a substantial decline in wealth inequality were achieved, probably thanks to the government's demand-led policies, despite their deleterious effects on other macroeconomic indicators. The following analysis reveals that inequality in most functionings, including overall well-being, diminished, as did geographical disparities. We thus offer here (i) a methodological contribution to the debate on inequality, stressing the need to go beyond consumption/income inequality if one wants to track inequality changes across time, and (ii) a contribution to the debate about the socioeconomic situation in Peru between 1985 and 1990. |
commodities, functionings, income, Inequality; Economic Policy; Peru |
secondary data |
micro |
|
Peru |
Education; Health; Decent Job; Living Standards. |
Composite indicators of wellbeing; inequality indicators; descriptive statistics. |
| On Exact Statistical Properties of Multidimensional Indices Based on Principal Components, Factor Analysis, MIMIC and Structural Equation Models |
|
2009 |
Jaya Krishnakumar, University of Geneva |
Reviewing the most important latent variable models which form the basis of multidimensional indices of human development (or deprivation) starting
from simpler ones such as factor analysis and going up to structural equation models |
capabilities, functionings |
secondary data |
macro |
UN |
Middle and low income countries for the year 2000 |
Latent endogenous: Health, Education, and Political freedom.
Achievement indicators: Political Rights, Civil Liberties, Voices and Accountability, Adult literacy rate, combined Gross Enrolment Ratio, Life expectancy, Infant mortality rate |
Structural Equation Model, and MIMIC |
| Estimating Basic Capabilities: A Structural Equation Model Applied to Bolivia |
|
2008 |
Jaya Krishnakumar, Paola Ballon |
Proposes a suitable theoretical framework for operationalizing the capability approach using the latent variable methodology. A structural equation model is specified to account for the unobservable and multidimensional aspects characterizing the concept of human development and to capture the mutual influence among different capabilities. |
|
secondary data |
micro |
MECOVI -Bolivia |
Bolivia – Latin America |
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|
| Multidimensional poverty among children in Uruguay |
|
|
Verónica Amarante, Rodrigo Arim, Andrea Vigorito |
To measure and to compare multidimensional poverty with income poverty in households with children and elderly in Uruguay |
|
secondary data |
micro |
UruHHS |
Uruguay |
Education, Living conditions and access to resources |
|
| Poverty and wealth reporting of the German Government: Approach, lessons and critique |
|
2009 |
Juergen Volkert |
To introduce the concept of individual potentials and instrumental freedoms in the measurement of capabilities and poverty in Germany with a special focus on inequalities in gender, political participation and interdependences between financial and non financial issues of poverty. |
capabilities, functionings |
secondary data |
micro |
GSOEP, ALLBUS |
Germany |
Individual potentials as financial means, commodities and personal conversion factors and instrumental freedom |
Maximum Likelihood Probit |
| On Exact Statistical Properties of Multidimensional Indices Based on Principal Components, Factor Analysis, MIMIC and Structural Equation Models |
|
2008 |
Jaya Krishnakumar |
This paper reviews principal components and various latent variable models, reaffirms their appropriateness in this context, examines the statistical properties of resulting indices, gives analytical expressions of their variances and establishes certain exact relationships among them. |
capabilities, functionings |
primary data |
macro |
Methodological Paper |
Methodological Paper |
Methodological Paper |
Principal components and various latent variable models |
| Human development, Capability approach, Latent variables, Item response, Simultaneous equations |
|
2007 |
Jaya Krishnakumar |
To propose a structural equation econometric model that accounts for the interdependence among latent dimensions and other observed endogenous factors and includes causal exogenous variables affecting the latent dimensions and their indicators |
capabilities |
secondary data |
macro |
Going Beyond Functionings to Capabilities: An Econometric Model to Explain and Estimate Capabilities |
Middle income countries; low income countries |
Latent endogenous variables: (i) Knowledge; (ii) Health; (iii) Political Freedom.
Achievement indicators for each dimension:
(i) Adult literacy rate; gross enrollment ratio;
(ii) Life expectancy at birth; infant mortality rate; under-five mortality ra |
Latent variables; Item response; Simultaneous equations |
| MEASURES OF EFFECTIVE LITERACY: A THEORETICAL AND EMPIRICAL NOTE |
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|
Diganta Mukherjee and Manash Ranjan Gupta |
To demonstrate that if a measure satisfies the anonymity, monotonicity and externality axiom instead of the all five axioms proposed in Basu and Foster (1998) then it is suitable for some specifically public policy applications. |
functionings |
secondary data |
micro |
NSSO |
India |
Literacy deprivation |
Axiomatic properties for the literacy deprivation measure |
| A dynamic operationalization of Sen’s capability approach |
|
|
Marco Grasso |
To operationalize Sen's framework by system dynamics |
functionings |
secondary data |
micro |
Annuario Statistico Regionale |
Italy |
Physical and psychological health; Education and Training; Social interactions |
System dynamics |
| Measuring the Distribution of Human Development: methodology and an application to Mexico |
|
|
James E. Foster , Luis F. Lopez‐Calva & Miguel Szekely |
To present a new parametric class of human development indeces that includes the original HDI as well as a family of distribution sensitive indices that satisfy all the basic properties for an index of human development |
functionings |
secondary data |
micro |
Census |
Mexico |
Health, Education, Income |
Extension of HDI |
| Measurement of Human Development: an alternative approach |
|
2005 |
Shoutir Kishore Chatterjee |
To develop an alternative approach for the Human Development Index sensitive in the general level and the degree of inequality of each of the components of the index. |
functionings |
secondary data |
micro |
NSSO |
India |
Health, education, standards of living |
Extension of HID |
| Measuring welfare: latent variable models for happiness and capabilities in the presence of unobservable heterogeneity Twitter Share icon |
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|
Anand, Paul; Krishnakumar, Jaya and Tran, Ngoc Bich |
The paper contributes to the operationalisation of the capabilities approach to welfare economics by developing and analyzing data on the freedoms of adults in Argentina. Specifically, it reports on the development of a survey instrument for measuring capabilities, calculates for each respondent a Nehring-Puppe type index of their capabilities, and examines the distribution of index scores. Themain analytic part of the paper then goes on to develop a generalized linear latent and mixed model (GLLAMM) for assessing the impact of capabilities on life satisfaction, in which allowance is made for (i) unobserved heterogeneity and (ii) possible endogeneity by introducing latent individual effects and by instrumenting capability variables using income and other socio-economic variables. Our empirical results show that empathy, self-worth, goal-autonomy, discrimination, safety and stress are statistically significant determinants of life satisfaction, in a decreasing order of importance. The paper concludes by suggesting that, if replicated, the findings have profound implications for the conceptualisation and evaluation of economic progress.
|
capabilities, Subjective wellbeing, Freedoms, GLLAMM, Happiness, Instrumental variables, Multi-dimensionality |
primary data |
micro |
Capability Survey |
Argentina |
Health, Freedom of Political Expression, Freedom of Political Participation, Freedom of Religion, Freedom of Thought, Emotional Capabilities, Security, Environment and Social Relations, Discrimination, Work |
1. Composite Indicators and Distributional Measures2. Latent Variable Modelling (Generalised Linear Latent and Mixed Modelling)3. Individual Unobserved Heterogeneity |
| The Measurement of Multidimensional Poverty |
|
|
Francois J. Bourguignon, Satya R. Chakravarty |
To explore how to combine different attributes nto a single index through some arbitrary function and defining a poverty line and associated poverty measures on the basis of that index |
functionings |
secondary data |
micro |
PNAD Household Surveys (years: 1981 and 1987) |
Brazil |
Income; Education |
Axiomatic properties for a social welfare family of indices |
| Conversion Efficiency as a Complementing Measure of Welfare in Capability Space |
|
|
Martin Binder, Tom Broekel |
To develop a measure of welfare, (e.g. "the conversion efficiency") measuring the efficiency with which individuals convert their resources into achieved functionings. |
functionings, Efficiency in conversion from resources into functionings |
secondary data |
micro |
BHPS |
United Kingdom |
Well-being; Health status; Highest academic qualification. |
Robust nonparametric efficiency analysis |
| On Measuring Literacy |
|
1006 |
Kaushik Basu, James E. Foster |
To present a new approach to evaluate the aggregate literacy level by taking into account the intra-household externality arising from the presence of a literate member. |
functionings |
secondary data |
micro |
Indian Census (1981) |
India |
Literacy deprivation |
Axiomatic properties for the literacy deprivation measure |
| Beyond Headcount: Measures that Reflect the Breadth and Components of Child Poverty |
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|
Sabina Alkire and José Manuel Roche |
A new approach to child poverty measurement that reflects the breadth and components of child poverty - illustrated with data from Bangladesh in the period 1997-2007. It argues that child poverty should not be assessed only according to the incidence of poverty but also by the intensity of deprivations that batter poor children’s lives at the same time. |
functionings |
secondary data |
micro |
Demographic Helath Survey (DHS) |
Bangaldesh |
Nutrition (stunting, wasting and underweight), Health (immunization and medical treatment for sever illness), Safe Drinking Water, Improved Sanitation, Adequate Housing, Access to Information |
Counting Approach Alkire & Foster MethodAnalysis over time |
| Measuring multidimensional poverty in India : a new proposal |
|
|
Alkire, Seth |
This paper focuses on the methodology by which India’s 2002 Below the Poverty Line (BPL) census data identify the poor and construct a BPL headcount. Using the BPL 2002 methodology it identifies which rural families would have been considered BPL if NFHS (National Family Health Survey) data had been used rather than BPL census data. It compares these to poor families that would be identified using the same variables with the Alkire and Foster multidimensional poverty methodology. |
commodities, consumption |
secondary data |
micro |
National Family Health Survey Data |
India |
Living Standards, Health Water and Sanitation, Air Quality, Assets, Education, Livelihood, Child Status, Empowerment |
Alkire & Foster Multidimensional Poverty Method |
| Multidimensional Poverty in BhuMaria Emma Santos and Karma Ura |
|
|
Maria Emma Santos, Karma Ura |
This paper estimates multidimensional poverty in Bhutan applying a recently developed methodology by Alkire and Foster (2007) using the 2007 Bhutan Living Standard Survey data |
functionings |
primary data |
micro |
Bhutan Living Standard Survey Data |
Bhutan |
Standard of Living, Education and Housing |
Alkire & Foster Multidimensional Poverty Method |
| Multidimensional Measurement of Poverty in Sub Saharan Africa |
|
|
Yele Batana |
This paper estimates multidimensional poverty in fourteen Sub-Saharan African countries using the Alkire and Foster multidimensional poverty measures, whose identification method is based on a counting approach. Four dimensions are considered: assets, health, schooling and empowerment |
functionings |
secondary data |
micro |
Demography and Health Surveys (DHS) |
Fourteen Sub-Saharan African Countries |
Standard of Living, Health, Education and Empowerment |
Alkire & Foster Multidimensional Poverty Method |
| Income and Beyond: Multidimensional Poverty in Six Latin American Countries |
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|
Diego Battiston, Guillermo Cruces, Luis Felipe Lopez Calva, Maria Ana Lugo and Maria Emma Santos |
This paper presents empirical results of a wide range of multidimensional poverty measures for: Argentina, Brazil, Chile, El Salvador, Mexico and Uruguay, for the period 1992–2006. |
functionings |
secondary data |
micro |
Socioeconomic Database for Latin America and Caribbean (SEDLAC) and Centre de Estudios Distributivos Laborales y Sociales (CEDLAS) and World Bank |
Argentina, Brazil, Chile, El Salvador, Brazil, Mexico and Uruguay. |
Standard of Living, Health, Education and Public Services |
Alkire & Foster Multidimensional Poverty Method |
| Acute Multidimensional Poverty: A New Index for Developing Countries |
|
|
Sabina Alkire and Maria Emma Santos |
This paper presents a new Multidimensional Poverty Index (MPI) for 104 developing countries. It is the first time multidimensional poverty is estimated using micro datasets (household surveys) for such a large number of countries which cover about 78 percent of the world´s population. |
functionings |
secondary data |
micro |
Demographic and Health Survey (DHS), Multiple Indicators Health Survey (MIHS) and World Health Survey (WHS), and other National Survey |
104 developing countries |
Health, Education and Standard of Living. |
Alkire & Foster Multidimensional Poverty Method |
| Counting and multidimensional poverty measurement |
|
|
Sabina Alkire, James Foster |
This paper proposes a new methodology for multidimensional poverty measurement consisting of anidentification method k that extends the traditional intersection and union approaches, and a class of poverty measures M.
|
functionings |
secondary data |
micro |
Indonesian Family Life Survey and National Health Interview Survey |
Indonesia and United States |
Health, Education and Standard of Living. |
Alkire & Foster Multidimensional Poverty Method |
| A Comparison of Poverty According to Primary Goods, Capabilities and Outcomes. Evidence from French School Leavers’ Surveys |
|
|
Josiane Vero |
A comparison of poverty according to primary goods, capabilities and outcomes |
functionings |
secondary data |
micro |
CEREQ |
France |
Deprivation in refined functioning: labour market position, leisure, independence, debt |
Fuzzy set theory |
| Human Development: Beyond the HDI |
|
2005 |
Ranis, Gustav & Stewart, Frances & Samman, Emma |
Exploring ways of enlarging the measurement and understanding of human development beyond the relatively reductionist Human Development Index
|
functionings |
secondary data |
macro |
Diverse sources |
world |
Health, education, income, mental well-being, empowerment, political freedom, social relations, community well-being, inequalities, work conditions, leisure conditions, dimensions of security – political, dimensions of security – economic, environmental c |
Correlations |
| Measuring gender inequality in functionings and capabilities: findings from the British Household Panel Survey |
|
|
Ingrid Robeyns |
Measuring gender inequality in functionings and capabilities using the British Household Panel Study |
functionings |
secondary data |
micro |
BHPS |
UK |
Life and physical health, mental well-being, bodily integrity and safety, social relations, education and knowledge, domestic work and non-market care, paid work and other projects, shelter and environment, mobility, leisure activities, religion |
Descriptive statistics, chi-squares tests, correlation, stochastic dominance |
| Going Beyond Functionings to Capabilities: An Econometric Model to Explain and Estimate Capabilities |
|
|
Jaya Krishnakumar |
Proposing a structural equation econometric model to measure and estimate capabilities through a latent variable modelling approach, taking account of the interdependencies among the different capability dimensions and the influence of exogenous social, institutional and demographic factors on them. Illustration using macro-economic data. |
capabilities, functionings |
secondary data |
macro |
UN |
56 countries |
Health, knowledge, political freedom |
Structural equation model (SEM) |
| A MULTIDIMENSIONAL ASSESSMENT OF WELL-BEING BASED ON SEN’S FUNCTIONING APPROACH |
|
|
ENRICA CHIAPPERO MARTINETTI |
|
functionings |
secondary data |
micro |
SHIW |
Italy |
Health, education, social relations, labour market, housing, household economic resources |
Sequential stochastic dominance, deprivation index, partial and complete ranking |
| Multidimensional Measures of Well-Being: Standard of Living and Quality of Life Across Countries |
|
|
Valérie Berenger, Audrey Verdier-Chouchane |
Measuring two components of well-being: standards of living and quality of life |
functionings |
secondary data |
macro |
UN & WB |
170 countries |
For standards of living: standards of health, standards of education, material well-being. For quality of life: quality of health, quality of education, quality of environment |
Fuzzy set theory, factorial analysis of correspondence |
| On the Measurement of Human Well-Being: Fuzzy Set Theory and Sen’s Capability Approach |
|
|
Mina Baliamoune‐Lutz |
Proposing a framework that uses fuzzy set theory to measure human well-being according to the capability approach |
functionings |
secondary data |
macro |
UN |
Almost all countries |
Health, knowledge and freedom to communicate, income, freedom |
Fuzzy set theory, complete ranking |
| Fuzzy well-being in Pacific Asia |
|
|
Mina Baliamoune‐Lutz |
Developing a framework that uses fuzzy set theory to measure human
well-being
|
functionings |
secondary data |
macro |
UN |
14 Pacific-Asian countries |
Health, education, income |
Fuzzy set theory |
| The Capability Approach: developing an instrument for evaluating public health interventions |
|
|
PK Lorgelly, K Lorimer, E Fenwick, AH Briggs |
Designing an ad hoc questionnaire for directly measuring the capability approach, and exploring its relation with life-satisfaction (happiness) |
capabilities, functionings, Subjective wellbeing |
primary data |
micro |
Ad hoc questionnaire |
UK |
Happiness, health, sense of achievement, personal projects, intellectual stimulation, social relations, environment |
Correlation and ordered logit regression |
| Monitoring Inequality among Social Groups: A Methodology Combining Fuzzy Set Theory and Principal Component Analysis |
|
|
Jose Manuel Roche |
|
functionings |
secondary data |
micro |
Venezuelan Household Survey |
Venezuela |
Three dimension of Housing Adequacy: Services, Structure, and Space and Density |
Principal Component Analysis, Fuzzy Set Theory, ANOVA |
| Capabilities and well-being: evidence based on the Sen-Nussbaum approach to welfare |
|
|
Paul Anand Graham Hunter Ron Smith |
Showing that secondary data source provides some information about capabilities, and that this can be incorporated into models of subjective well-being |
capabilities, functionings, Subjective wellbeing |
secondary data |
micro |
BHPS |
UK |
Bodily health, bodily integrity, sense, imagination and thought, emotions, practical reason, affiliation, play, satisfaction |
OLS regression analysis |
| 1 FACTOR ANALYSIS VS. FUZZY SETS THEORY: ASSESSING THE INFLUENCE OF DIFFERENT TECHNIQUES ON SEN’S FUNCTIONING APPROACH |
|
|
Sara Lelli |
Comparing the use of factor analysis with fuzzy set theory for the operationalization of the capability approach |
functionings |
secondary data |
micro |
PSBH |
Belgium |
Social interactions, cultural activities, economic conditions, health, psychological distress, working conditions, shelter |
Factor analysis fuzzy set theory |
| Debating Global Society Reach and Limits of the Capability Approach |
|
|
Enrica Chiappero-Martinetti and José Manuel Roche |
Comparison between ranking with empirical measures of functioning achievements and ranking with standard income-based measures |
functionings |
secondary data |
macro |
SHIW ISTAT |
Italian regions |
Health, education, employment, housing, safety, environment, income, social infrastructure |
Factor analysis, complete ranking |
| MEASURING POVERTY AND DEPRIVATION IN SOUTH AFRICA |
|
|
Stephen Klasen |
Comparison between a standard expenditure-based poverty measure and a specifically created composite measure of deprivation |
functionings |
secondary data |
micro |
SALDRU |
South Africa |
Education, income, wealth, housing, water, sanitation, energy, employment, transport, financial services, nutrition, health care, safety, perceived well-being |
Synthetic index score, descriptive statistics, Pearson correlation, principal component analysis, OLS regressions |
| A MULTIDIMENSIONAL ASSESSMENT OF WELL-BEING BASED ON SEN’S FUNCTIONING APPROACH |
|
|
ENRICA CHIAPPERO MARTINETTI |
|
functionings |
secondary data |
micro |
ISTAT |
Italy |
|
Fuzzy set theory, complete ranking |
