15,657 research outputs found
Conditions for the Most Robust Poverty Comparisons Using the Alkire-Foster Family of Measures
In the burgeoning literature on multidimensional poverty indices, the Alkire-Foster (AF) measures stand out for their resilience in identifying the multidimensionally poor with cut-off criteria covering the spectrum from the union approach to the intersection approach. The intuitiveness and easy applicability of the measuresâ identification and aggregation methods are reflected in the increasing use of the AF measures in poverty measurement, as well as in other fields. This paper extends the dominance results derived by Lasso de la Vega (2009) and Alkire and Foster (2010) for the adjusted headcount ratio and develops a new condition whose fulfillment ensures the robustness of comparisons using the adjusted headcount ratio for any choice of multidimensional cut-off and for any weights and poverty lines. The paper then derives a first-order dominance condition for the whole Alkire-Foster family (that is, for continuous variables).
Multidimensional Poverty: Measurement, Estimation, and Inference
Multidimensional poverty measures give rise to a host of statistical hypotheses which are of interest to applied economists and policy-makers alike. In the specific context of the generalized Alkire-Foster (Alkire and Foster 2008) class of measures, we show that many of these hypotheses can be treated in a unified manner and also tested simultaneously using the minimum p-value methodology of Bennett (2010). When applied to study the relative state of poverty among Hindus and Muslims in India, these tests reveal novel insights into the plight of the poor which are not otherwise captured by traditional univariate approaches.
Thinking about Later Life: Insights from the Capability Approach
A major criticism of mainstream gerontological frameworks is the inability of such frameworks to appreciate and incorporate issues of diversity and difference in engaging with experiences of aging. Given the prevailing socially structured nature of inequalities, such differences matter greatly in shaping experiences, as well as social constructions, of aging. I argue that Amartya Senâs capability approach (2009) potentially offers gerontological scholars a broad conceptual framework that places at its core consideration of human beings (their values) and centrality of human diversity. As well as identifying these key features of the capability approach, I discuss and demonstrate their relevance to thinking about old age and aging. I maintain that in the context of complex and emerging identities in later life that shape and are shaped by shifting people-place and people-people relationships, Senâs capability approach offers significant possibilities for gerontological research
Capability-based Evaluation Framework for Basic Education Quality
íìë
ŒëŹž(ë°ìŹ) -- ììžëíê”ëíì : ìŹëČëí íëêłŒì êžëĄëČê”ìĄíë „ì êł”, 2022.2. ì ì±ì.ëíì ìŒëĄ MDG2, EFA, SDG4ì ê°ì ê”ì ìŹí ê”ìĄ ê°ë° íë „ì ëȘ©íë ì ìžêł ìë§ì ììŽë€ìêČ ê”ìĄì êž°íë„Œ ì êł”íëë° êž°ìŹíìë€. íčëłí MDG ëëČ짞 ëȘ©íìž âAchieving universal primary education(볎ížì ìŽë± ê”ìĄì ëŹì±)âì í”íŽ ë§ì ìì ììŽë€ì ìŽë±íê”ì ë±ëĄíêČ íë íêž°ì ìž ìì ì±êłŒë„Œ ìŽë€ë€. ìŽí ê”ì ìŹíë ìŽëŹí ì±êłŒë„Œ ë°íìŒëĄ ëłŽë€ ëì ì ìž ëȘ©íëĄì(SDG4) âëȘšëìêČ í”í©ì ìŽêł íë±í ìì§ì íìíì” êž°íâ íëłŽë„Œ ìžì ë€(UN 2015). ì€ì ê”ìĄ ë¶ìŒëĄ íŹì
ë ììĄ°ì ìì ì§ë 20ë
ê° êŸžì€í ìŠê°íìŹ 2019ë
ìë ìœ 159ì” ëŹëŹì ëŹíìë€(OECD CRS 2021).
íì§ë§ ê”ì ìŹíì ꟞ì€í ì ì±
ì ìŹì ì ì§ììë ë¶ê”Źíêł ë§ì í”êłìëŁë MDGìŽí ê”ì ìŹí ê”ìĄ ì§íì ëłíê° ë©ì¶ê±°ë ìŹì§ìŽ ìŒë¶ ì§ìì êČœì° ì
íëë ëȘšì”ì ì ë§íêł ìë€(UNESCO 2019; UN 2015). íčí MDG ëȘ©í ëŹì±ì ìŁŒì ìČëìë ë±ëĄë„ ì§íë„Œ ì ìžíêł ë, ì€ëíëœë„ , ìĄžì
ë„ ë±ì ì§íë ì í ê°ì ì ìŹì§ë„Œ 볎ìŽì§ ìêł ìë€. ì§í(Indicator)ë„Œ ìŽë í ìíì ëłžì§ìŽë êłŒì ì ê°ì„ ì ì í ìê°ì íŹì°©íë ëê”Ź ì€ íëëŒêł ê°ì íìì ë, ë±ëĄë„ ì§íë ê”ìĄ ë°ì ì ꞎ êłŒì ì 돞ì ìŹë êž°ìŽ ëšêłëŒêł í ì ìë€. ê”ìĄ ë°ì ì ë
Œìí ë ê°ì„ 볎ížì ìŽêł êž°ìŽì ìž ì§íëĄ íì©ëë ìŽì ìŽë€. ëżë§ ìëëŒ ë±ëĄë„ ì§íë UNìŽ Tier I ìŒëĄ ê”Źë¶í êČêłŒ ê°ìŽ ë°ìŽí° ìì§ì ì©ìŽì± ìžĄë©Žììë êž°ìŽì ìŽë©°, ì§í ìžĄì ì ë°©ëČëĄ ì ìžĄë©Žììë êž°ìŽì ìŽë€. ê·žë ë€ë©Ž ì€ëíëœë„ , ìĄžì
ë„ , íčì íì
ì±ì·šìšêłŒ ê°ì ì§íë ìŽë íê°? ì ìê° êłŒëí ìŒë°íì ìíì ê°ìíêł ë ììì ìì€ìì ë§í ì ìë êČì, íŽëč ì§íë€ì ë±ëĄë„ ì§íìë ë€ë„ž ìì€ì ëł”ìĄì±ì ëŽíŹíë€.
ëłž ë
ŒëŹžì ë±ëĄë„ ìžì ê”ìĄ ì§íì ëłíê° ë©ì¶ ìŽì ë„Œ ëšìí ì§íì íŽìì ë€ìì± íčì ë°ìŽí° ìì§ì ìŽë €ììì ì°Ÿêł ì íì§ ìëë€. ì€íë € ì°ëŠŹê° íčì ëȘ©íì ëŹì±ì ì êČíêž° ìíŽ ìííë íê°ìì ì§íë„Œ íì©íë êČìŽ ìŒë§ë ëšížì ìŽë©° êČ°êłŒ ì€ìŹì ìž íŽìì ê°ì žì€ëì§ ê·ž íêłë„Œ ëëŹëŽêł ì íë€. ê·žëŠŹêł ê·žêČì ê·čëł”íêž° ìí ëììŒëĄì ê°ë°íê°ìì ê”ìĄì ì§ì íê°í ë ì§êžêčì§ íë°íêČ ë
Œìëì§ ììë âíìêłŒ ê”ìììì íì” êł”ê°ììì ìíž ìì©âì íê°ì í ê°ìŽë°ëĄ ëë íê°íì ì ìíë€.
íì êČœì ìŽëĄ ìŒëĄ ë
žëČš êČœì íìì ë°ì ìžëì êČœì ìČ íì ìë§í°ììŒì 1990ë
ë Capability Approachë„Œ í”íŽ ê°ë°íë „ì ìë§ì ë¶ìŒì ê°í íëȘ
ì ìí„ì ëŻžìł€ë€. íčí ì¶ì ì§ì íê°íë ê°ë
ì íì ì êł”íëë° í° êž°ìŹë„Œ íëë°, ê·žê° GDPëĄë§ íê°ëìë ê”ê°ì ë°ì ì ëë„Œ ê”ìĄêłŒ ëłŽê±Žì ììêčì§ íì„ ì쌰Ʞ ë돞ìŽë€. ëłž ë
ŒëŹžìŽ ì ìíë ê”ìĄì ì§ íê°íì ê°ë
ííëë° ììŽ Capability Approachê° ìŽëĄ ì 귌거ëĄì ê°ë í”ìŹì êž°ìŹë ê°ìžêłŒ ìŹíì âë€ìì±âì íê°ì ë§€ì° ì€ìí ììëĄ íŹíšìíšë€ë êČì ìë€. ìŠ, ê°ìžì ì íì êłŒì êłŒ ê·ž êČ°êłŒë ê°ìžì , ìŹíì , íêČœì ììžì ë€ìí ìĄ°í©ì ìí ìí„ì êČ°êłŒìì ëëŹëžë€. ìŽêČì ìŒì ìíŽ conversion factorëŒë ì©ìŽëĄ ííëìë€.
ê”ìĄì ì§ì íê°íêž° ìí ì§ì ì ê·Œì ìëì ìŒëĄ ë§ì ë
žë „êłŒ ìŹììŽ íìíë€. ê·žëŒìë ë¶ê”Źíêł ìŽëŹí ëìì íê°íì ì ìíë êČì ë€ìì ìŽì ê° ìë€. ìČ«ì§ž, ìŽëŻž ë§ì ê”ìĄíìë€ì ì°ê”Źë„Œ í”íŽ ê”ìĄì âêłŒì âì ì§ì ê°ì êłŒ ê”ìĄ ë°ì êłŒì ìêŽêŽêłë„Œ 볎ìŹì€Źêž° ë돞ìŽë€. ìŹêž°ì ë§íë êłŒì ì íì”ìì ê”ìì ê°ì ìížìì©ì ìŽìŒêž°íë©° êł”ê”ìĄì ííììë ê”ì€ ì ìì
ìê°ì ëȘšì”ì ìëĄ ë€ ì ìë€. ë짞, íìŹì ê°ë° íê°ì ì ê·Œì ìŽëŹí íì” êłŒì ì ëí íê°ë„Œ ìČ ì íêČ ë°°ì íêł ìêž° ë돞ìŽë€. íčí ê°ë°íë „ì íëĄì ížì íëĄê·žëš íê°ìì íì©ëë ì§íë€ì ë°ìŽí° ìì§ì ì©ìŽì±, ìžĄì ê°ë„ì± ë±ì êČœì ì ìŽì ëĄ ê°ì„ í”ìŹì ìŽëŒêł í ì ìë íì” êłŒì , ì§ì ëłíì ëí ë°ììŽ ë돎ë 믞íĄí ì€ì ìŽë€.
ëłž ë
ŒëŹžìì ì ìíë êž°ìŽê”ìĄì ì§ íê°íì ìë§í°ì ìŒì Capability Approachì í”ìŹì ê°ìčë„Œ êž°ë°íììŒë©°, êž°ìĄŽ ê”ìĄ ë¶ìŒìì ì§ íê°ë„Œ ìíŽ íì©ëìŽìš ìŽëĄ êłŒ ì ê·Œ ë°©ëČì ìëč ë¶ë¶ ì°šì©íìë€. ëí âêž°ìŽ ê”ìĄì ì§ ì§í(Index)âë„Œ ì ìíšìŒëĄìš ëłŽë€ íŹêŽì ìž ì ê·Œììì ê”ìĄì ì§ íê°ê° ìŽë€ì§ ì ìëëĄ íìë€. Capabilityì êž°ë°í íê°ë âìŽë»êČâ íê°íëëì ëí ë°©ëČëĄ ì ì§ëŹž ëżë§ ìëëŒ â돎ììâí”íŽ ê”ìĄì ì§ì íê°íëëì ëí ëłŽë€ ê·Œëłžì ìž ì§ëŹžì ëí ë”ì ì°ŸêČ íë€. ëłž ì°ê”Źê° ê”ìĄê°ë°íë „ììì êž°ìŽ ê”ìĄì ì§ì ì ìíêł íê°íëë° ëłŽë€ ê”ìĄì êŽì ì ì êł”íëë° êž°ìŹí ì ìêž°ë„Œ êž°ëíë€.International education development goals such as MDG2, EFA, and SDG4 have helped to provide educational opportunities to thousands of children around the world. Andover the last 20 years, the amount of international aid invested in education sector has steadily increased, reaching around $15.9 billion in 2019. (OECD CRS 2021). A significant quantitative result was achieved in enrolling a large number of children in elementary school through the MDG's second goal, 'Achieving universal primary education.' Since then, the international community has set a more challenging goal (SDG4) to ensure âinclusive and equitable quality education and promote lifelong learning opportunities for allâ based on these achievements (UN 2015).
However, despite steady policy and financial support from the international community, many statistical data predict that changes in international social education indicators after the MDG will stop or even worsen in some regions (UNESCO 2019; UN 2015). In particular, with the exception of the enrollment rate indicator, which was a major measure of achievement of the MDG goal, indicators such as dropout rate and graduation rate show no room for improvement at all. Assuming that the indicator is one of the tools for capturing the essence of any state or the most appropriate moment of the certain process, the enrollment rate indicator can be considered as a first step in a long educational development process. This is why it is used as the most common and basic indicator when discussing educational development. In addition, it is also classified as Tire I indicator by the IAEG-SDGs based on its methodological development and the availability of data. So, what about other indicators such as dropout rates, graduation rates, or academic achievement rates? What I can say at a common-sense level, even at the risk of overgeneralization, is that these indicators contain a higher level of complexity than the enrollment rate indicators.
This study is not intended to blame those indicators for the slowing of educational development. Rather, it tries to highlight the shortcomings of how fragmentary and result-oriented the interpretation of the indicators of development evaluation to ensure the achievement of specific goals. And, as an alternative to overcoming it, I propose an evaluation framework that places the âinteraction between students and instructors in the learning spaceâ, which has not been actively discussed so far in development evaluation, in the center of evaluation when evaluating the quality of education.
Indian economic philosopher Amartya Sen, who won the Nobel Prize in Economics for his theory of welfare economy, had a truly revolutionary effect on numerous fields of development cooperation through his Capability Approach in the 1990s. In particular, he made a great contribution to providing a conceptual framework for measuring the well-being, as he extended the development of the country, which had been evaluated only by GDP, to the fields of education and health. The key contribution of the Capability approach as a theoretical framework in conceptualizing the evaluation framework for quality of education presented in this study is that it includes the 'diversity' of individuals, social and environmental contexts as a very important factor in the evaluation. In other words, it reveals that the process and results of individual choices are influenced by a various combination of personal, social, and environmental factors. Sen referred to this as the conversion factor.
A qualitative approach to assessing the quality of education requires a relatively significant amount of time and resources. Nevertheless, the proposal of such an alternative evaluation framework is for the following reasons. First, it is because many educators have already shown a correlation between the qualitative improvement of the education and âprocessâ of teaching and learning. The process here refers to the interaction between the learner and the instructor. Second, it is because the current development evaluation approach completely excludes evaluation of this learning process. In particular, the indicators used in the evaluation of development cooperation projects and programs do not reflect the most important learning process and qualitative change for economic reasons such as ease of data collection and measurability.
The evaluation framework of basic education quality proposed in this dissertation is based on the core value of Amartya Sen's capability approach, and it borrows many theories and approaches that have been used for quality evaluation in the education field. In addition, to assist more comprehensive manner of evaluation of quality education, the âBasic Education Quality Indexâ is proposed. It is expected the Capability-based evaluation will contribute to find answers to the more fundamental question of evaluating the quality of education through âwhatâ as well as the methodological question of âhowâ to evaluate. Finally, I wish it is also to bring a more educational perspective in defining and evaluating the quality of basic education in educational development cooperation.I. Introduction 1
1.1 Research Background and Objectives 1
1.2 Capability Approach as a Theoretical Methodology 7
1.3 Research Scope and Structure of Dissertation 11
II. Literature Review 14
2.1 Core Concepts of the Capability Approach 14
2.2 Critiques and the Capability List 21
2.3 Capability and Education 25
III. Quality Issues in Education Development Cooperation 37
3.1 Agenda Shifting from Accessibility to Quality 37
3.2 Assessing the Quality of Education 45
IV. Results-based Evaluation in Development Cooperation 57
4.1 Development Evaluation and Quality Measurement 58
4.2 Results-based Approach in Development Evaluation 69
4.3 Challenges of Results-based Approach 81
V. Capability-based Evaluation Framework for Quality Education 90
5.1 Evaluation Framework for Basic Education Quality 94
5.2 Discussions 105
5.3 Application and Methodology 138
VI. Conclusion 148
6.1 Evaluation of Education Quality and Capability 148
6.2 Limitation of the Study 153
6.3 Final Remarks 155ë°
A State of the Art of Self Help Groups in India
This paper considers the strategies of self help group for micro-enterprise development in rural areas. It seeks to answer the question of whether and under which conditions self help groups are an effective vehicle for organizing and representing local people in the development of community based micro-enterprises. Focusing particularly on examples from India in the context of food as a local resource, special attention is paid to success and failure factors of self help groups. While self help group strategies have been applied in the past as a blind replication of success models without considering the intricacies involved in group formation, success of self help groups is based on a thorough understanding of local conditions and possibilities to intervene
Shape evolution of electrodeposited bumps with deep cavity
Electrodeposited bumps are the indispensable microconnectors for high-density interconnection in the latest microelectronics applications. The deep cavities are especially important for the solder bumps for ball grid arrays. This investigation discusses the relation between cavity shapes and current distributions of deep cavities. The role of convection and diffusion within the cavities is calculated at diffusion-limited overpotentials with numerical fluid dynamics computations. The current distributions become symmetric and peak profiles become sharper for the deeper cavities of large aspect ratios and of negative photoresist angles, theta. For 30 mu m cathode length, the current at the center is larger than that at the edges for photoresist angles of theta less than or equal to 0. For these deep cavities, the convection outside the cavity is not related to the current distribution and the current distribution is determined by the cavity shape. The mass transport within the deep cavities is controlled mainly by diffusion. This is because the convection outside the cavities is not effectively stirring inside the deep cavities.</p
Shenandoah (1981 program)
Performed October 30-31, 1981.
Cast:Charlie Anderson: Ray WrightJacob: Mike RushingJames: Mark EvansNathan: Kirk NelsonJohn: Joe AaronJenny: Kim HudsonHenry: Brynn UlisnikRobert (the Boy): Michael OrganAnne: Vicki DellGabriel: Wayne BettisReverend Byrd: Buddy BakerSam: Robin CannonSergeant Johnson: Scott CodyLieutenant: Jeff JohnsonTinkham: Cliff ThompsonCarol: Andy CrossmanCorporal: Kevin UebeleinMarauders: Kimball Crum, Paul Perkins, and Scott CodyEngineer: Cliff ThompsonConfederate Sniper: Rod SmithSoldier with the Sniper: Todd WilsonChurchmen: Warren Alkire, Jeff Johnson, and Kevin UebeleinRebels: Warren Alkire, Kimball Crum, Jeff Johnson, Rod Smith, Kevin Uebelein, and Todd WilsonYankees: Mark Brasher, Danny Campbell, Tim Johnson, Paul Perkins, Jim Schwatzman, and Tim WalkerPrisoners: Warren Alkire, Mark Brasher, Danny Campbell, Scott Cody, Kimball Crum, Danny Gillett, Jeff Johnson, Tim Johnson, Paul Perkins, Jim Schwatzman, Rod Smit, Kevin Uebelein, Tim Walker, and Todd WilsonNeighbors: Warren Alkire, Kimball Crum, and Todd WilsonHorsemen: Danny Campbell, Paul Perkins, Jim Schwatzman, and Tim WalkerWomen\u27s Ensemble: Chris Batty, Janet Bean, Lisa James, Jo Ellen Noland, Donna Slack, Lisa Taylor, Laura White, and Trella Yateshttps://scholarworks.harding.edu/theatre-history/1087/thumbnail.jp
Subjective Well-Being: Easterlin Paradox, the (decreasing) Return(s)? From log to square, new evidence from wealthier data
The quest for happiness is neither new for human beings, nor for economists. With the systematization of household surveys, Subjective Well-Being studies have flourished. Discussions now focus on the slope of the virtually unchallenged curvilinear functional form between income and life satisfaction. Indeed, if growth positive returns are not -yet- contested for societies that have difficulties satisfying their population?s basic needs, the correlation between income and Subjective Well-Being in wealthier countries has no consensus; from flat to steep, researchers dither? Benefitting from larger datasets, recent papers have attempted to debunk the Easterlin paradox. They show that self-reported well-being is steadily and positively correlated with income and growth, even in developed countries. However, using the most up-to-date global surveys, calculations cast doubt upon the belief in an eternal sunshine relation between income and ?happiness?. Indeed, we observe that the curvilinear relation between income and happiness could be challenged by the quadratic one. Thus, it now appears difficult to reject the possibility of decreasing returns, to the extent that it might be possible to consider, not only a weak, but a negative correlation between income and happiness for wealthier countries. Nevertheless, this perspective is likely dependent on the sample size. Moreover, we claim no direct causality for the uncovered negative slope. Further investigations would be necessary to prove, inform - or disprove - these new findings. La recherche du bonheur n?est pas une quĂȘte nouvelle pour les humains, ni pour les Ă©conomistes ! Avec la systĂ©matisation des enquĂȘtes mĂ©nages, les Ă©tudes sur le bien-ĂȘtre subjectif se sont multipliĂ©es. Si le caractĂšre curvilinĂ©aire de l?association entre revenu et bien-ĂȘtre subjectif n?est pas, jusqu?ici, remise en question, les dĂ©bats se sont rĂ©cemment concentrĂ©s sur la pente de celle-ci. En effet, bien que l?impact positif de la croissance sur le bien-ĂȘtre dans les pays en dĂ©veloppement ne soit pas contestĂ©, pour les pays industrialisĂ©s, la corrĂ©lation entre bien-ĂȘtre subjectif et revenu est loin de faire l?objet d?un consensus. RĂ©cemment, en utilisant des bases de donnĂ©es de plus en plus larges, certaines recherches ont remis en cause le paradoxe d?Easterlin. D?aprĂšs ces travaux, il serait dĂ©sormais clair que le bien-ĂȘtre subjectif soit durablement et positivement corrĂ©lĂ© avec le revenu et la croissance, mĂȘme pour les pays industrialisĂ©s. NĂ©anmoins, nos observations rĂ©alisĂ©es grĂące aux plus complĂštes bases de donnĂ©es actuellement disponibles, montrent que la relation idyllique entre revenu et bien-ĂȘtre subjectif peut ĂȘtre remise en question. La forme curvilinĂ©aire pourrait en effet, cacher une forme quadratique. Il deviendrait alors difficile de rejeter l?existence de gains marginaux dĂ©croissants. NĂ©anmoins, il serait imprudent d?Ă©tablir un lien de causalitĂ© pour la partie dĂ©croissante de la pente ainsi mise Ă jour. De nouvelles recherches et des donnĂ©es plus longues seront nĂ©cessaires pour alimenter, ou rĂ©futer, nos observations. (Full text in english)
Women's Empowerment in Agriculture Index
This document presents women's empowerment in agriculture index. Women play a critical and potentially transformative role in agricultural growth in developing countries, but they face persistent obstacles and economic constraints limiting further inclusion in agriculture. The Women's Empowerment in Agriculture Index (WEAI) measures the empowerment, agency, and inclusion of women in the agriculture sector in an effort to identify ways to overcome those obstacles and constraints. The Index is a significant innovation in its field and aims to increase understanding of the connections between women's empowerment, food security, and agricultural growth. It measures the roles and extent of women's engagement in the agriculture sector in five domains: (1) decisions about agricultural production, (2) access to and decision making power over productive resources, (3) control over use of income, (4) leadership in the community, and (5) time use. It also measures women's empowerment relative to men within their households
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