본문 바로가기
KERD
논문KCI 등재

Rethinking Multidimensional Poverty in Bangladesh: How Do Weights Influence the Mapping?

TARANNUM SOHRAB|TASNEEM FATIMA ALAM|NAYEEM SULTANA|ANJA FASSE|ISRAT RAYHAN
경제연구소 (Hanyang Economic Research Institute)|2024.03|Journal of Economic Development|제49권 제1호|pp. 43-61|DOI 10.35866/caujed.2024.49.1.003

0

조회

0

다운로드

0

인용

0

참고문헌

키워드

BangladeshDecompositionPrincipal component analysisMultidimensional poverty indexMultiple Indicator Cluster Survey
주제분류경제학

초록

The complexity of poverty is widely acknowledged, as it involves various contributing factors. This study centers on implementing the modified Alkire-Foster methodology to establish a multidimensional poverty index. Utilizing data from the 2019 Multiple Indicator Cluster Survey, encompassing three dimensions and ten well-being indicators, the analysis demonstrates that considering all indicators (n = 10,352) with no missing cases yields a multidimensional poverty index of 0.150. However, when incorporating missing cases as non-deprived individuals (n = 59,066), the index decreases to 0.104. Furthermore, utilizing modified principal component analysis, the poverty index is assessed at 0.260 (n = 10,352). The study’s findings suggest that individuals in rural areas, particularly those headed by males, experience heightened deprivation compared to their counterparts.

Abstract

The complexity of poverty is widely acknowledged, as it involves various contributing factors. This study centers on implementing the modified Alkire-Foster methodology to establish a multidimensional poverty index. Utilizing data from the 2019 Multiple Indicator Cluster Survey, encompassing three dimensions and ten well-being indicators, the analysis demonstrates that considering all indicators (n = 10,352) with no missing cases yields a multidimensional poverty index of 0.150. However, when incorporating missing cases as non-deprived individuals (n = 59,066), the index decreases to 0.104. Furthermore, utilizing modified principal component analysis, the poverty index is assessed at 0.260 (n = 10,352). The study’s findings suggest that individuals in rural areas, particularly those headed by males, experience heightened deprivation compared to their counterparts.

참고문헌 (58)

  1. "Basic Statistics 2022" (2022)[URL]
  2. Counting and Multidimensional Poverty Measures, "Alkire, S.", Oxford Poverty and Human Development Initiative (OPHI), ~, pp.Working Paper No.7 (2007)
  3. Alkire, S., "Determining BPL Status : Some Methodological Improvements", Indian Journal of Human Development, 2(2), pp.407~424 (2009)
  4. Alkire, S., "Counting and Multidimensional Poverty Measurement", Journal of Public Economics, 95(8), pp.476~487 (2011)
  5. Alkire, S., "Bangladesh Country Briefing Multidimensional Poverty Index-Country Briefing Series", Oxford Poverty and Human Development Initiative(OPHI), ~ (2011)
  6. Multidimensional Poverty Measurement and Analysis, "Alkire, S.", Oxford Poverty and Human Development Initiative, Oxford University, ~, pp.Working Paper No.86 (2015)
  7. The new global MPI 2018: Aligning with the sustainable development goals, "Alkire, S", Oxford Poverty and Human Development Initiative, Oxford University, ~, pp.Working Paper 121 (2018)
  8. Alkire, S., "Dynamics of Multidimensional Poverty and Uni-dimensional Income Poverty : An Evidence of Stability Analysis from China", Social Indicators Research, 142(1), pp.25~64 (2019)
  9. Alkire, S., "Revisions of the Global Multidimensional Poverty Index : Indicator Options and Their Empirical Assessment", Oxford Development Studies, 2, pp.169~183 (2020)
  10. Anand, S., "Poverty and Human Development: Human Development Papers 1997" (1997), UNDP
  11. Angulo, R., "The Colombian Multidimensional Poverty Index : Measuring Poverty in a Public Policy Context", Social Indicators Research, 127(1), pp.1~38 (2016)
  12. Atkinson, A., "Multidimensional Deprivation : Contrasting Social Welfare and Counting Approaches", Journal of Economic Inequality, 1(1), pp.51~65 (2003)
  13. Aziz, S., "Cooking Energy Use in Bangladesh : Evidence from Technology and Fuel Choice", Energy, 250, pp.123696~ (2022)
  14. "Bangladesh - Demographic and Health Survey: Key Indicators Report 2022" (2022)[URL]
  15. Barnes, D. F., "Energy Poverty in Rural Bangladesh", Energy Policy, 39(2), pp.894~904 (2011)
  16. A Post-Pandemic Assessment of the Sustainable Development Goals, "Benedek, M. D.", International Monetary Fund, ~, pp.Staff Discussion Notes No. 2021 (2021), 003
  17. Bersisa, M., "A Distributional Analysis of Uni-and Multidimensional Poverty and Inequalities in Ethiopia", Social Indicators Research, 155, pp.805~835 (2021)
  18. Bourguignon, F., "The Measurement of Multidimensional Poverty", Journal of Economic Inequality, 1(1), pp.25~49 (2003)
  19. Brandolini, A., "Assetbased Measurement of poverty", Journal of Policy Analysis and Management, 29(2), pp.267~284 (2010)
  20. Burchi, F., "Assessing Trends in Multidimensional Poverty During the MDGs", Review of Income and Wealth, 68, pp.S317~S346 (2022)
  21. Carter, M. R., "The Economics of Poverty Traps and Persistent Poverty : An Asset-Based Approach", Journal of Development Studies, 42(2), pp.178~199 (2006)
  22. Catalán, H. E. N., "The Importance of Reliability and Construct Validity in Multidimensional Poverty Measurement : An Illustration Using the Multidimensional Poverty Index for Latin America", Journal of Development Studies, 56(9), pp.1763~1783 (2020)
  23. Dehury, B., "Regional Estimates of Multidimensional Poverty in India", Economics, 9(1), pp.20150036~ (2015)
  24. Dewilde, C., "Housing and Poverty : The 'Missing Link", European Journal of Housing Policy, 3(2), pp.127~153 (2003)
  25. The Multidimensional Poverty Index: Achievements, Conceptual and Empirical Issues, "Dotter, C.", United Nations Human Development Research Office, ~ (2014)
  26. Dutta, S., "Multidimensional Deprivation Among Children in India and Bangladesh", Child Indicators Research, 14(3), pp.917~955 (2021)
  27. Foster, J., "A Class of Decomposable Poverty Measures", Econometrica, 52(3), pp.761~766 (1984)
  28. Geall, S., "Solar Energy for Poverty Alleviation in China : State Ambitions, Bureaucratic Interests, And Local Realities", Energy Research and Social Science, 41, pp.238~248 (2018)
  29. Sustainable Development Goals (SDGs):Bangladesh Progress Report 2020, "GED: General Economics Division", Planning Commission, Government of Bangladesh (GoB), ~ (2020)
  30. Household Income and Expenditure Survey, "HIES", Bangladesh Bureau of Statistics, ~ (2022)
  31. Hossen, S. S., "Factors Responsible for Students Dropout at Secondary Education Among Slum Children : A Study on Khulna City of Bangladesh", International Journal of Advanced Research, 6, pp.542~552 (2018)
  32. Jung, W., "The Discrepancy Between Two Approaches to Global Poverty : What Does it Reveal?", Social Indicators Research, 162, pp.1313~1344 (2022)
  33. Kamruzzaman, P., "Understanding Extreme Poverty in the Words of The Poor-A Bangladesh Case Study", Journal of Poverty, 25(3), pp.193~216 (2021)
  34. Masset, E., "Sensitivity Matters. Comparing the Use of Multiple Indicators and of a Multidimensional Poverty Index in the Evaluation of a Poverty Eradication Program", World Development, 137, pp.105162~ (2021)
  35. "Multiple Indicator Cluster Survey 2019, Round 6" (2019)[URL]
  36. Characterising Weights in the Measurement of Multidimensional Poverty: An Application of Data-Driven Approaches to Cameroonian Data, "Njong, A. M.", OPHI, ~, pp.Working Paper No. 21 (2008)
  37. Olang, T. A., "Lighting and Cooking Fuel Choices of Households in Kisumu City, Kenya : A Multidimensional Energy Poverty Perspective", Energy for Sustainable Development, 42, pp.1~13 (2018)
  38. Omar, M. A., "Multidimensional Energy Poverty in Bangladesh and its Effect on Health and Education : A Multilevel Analysis Based on Household Survey Data", Energy Policy, 158, pp.112579~ (2021)
  39. "Charting Pathways Out of Multidimensional Poverty: Achieving the SDGs" (2020)[URL]
  40. Oxford Poverty and Human Development Initiative(OPHI), "Bangladesh Country Briefing - Multidimensional Poverty Index Data Bank", OPHI, University of Oxford, ~ (2017)
  41. Pandey, S., "Examining the Interstate Variations and Interlinkage between Water Poverty and Multidimensional Poverty in India : Evidence from Household-Level Data", International Journal of Social Economics, 49(10), pp.1551~1568 (2022)
  42. Multidimensional Poverty and Its Effect on the Economy of Aceh Province, "Pratama, S.", Bappenas, 209~222, pp.Bappenas Working Papers, 6(2) (2023)
  43. Islam, M. R., "Building Sustainable Communities" (2020), Palgrave Macmillan
  44. Rogan, M., "Gender and Multidimensional Poverty in South Africa : Applying the Global Multidimensional Poverty Index(MPI)", Social Indicators Research, 126(3), pp.987~1006 (2016)
  45. Sakamoto, M., "Vulnerabilities to COVID-19 in Bangladesh and a Reconsideration of Sustainable Development Goals", Sustainability, 12(13), pp.5296~ (2020)
  46. Santos, M. E., "A Multidimensional Poverty Index for Latin America", Review of Income and Wealth, 64(1), pp.52~82 (2018)
  47. Sen, A., "Poverty : An Ordinal Approach to Measurement", Econometrica, 44(2), pp.219~231 (1976)
  48. Stephens, M., "Housing and Poverty : A Longitudinal Analysis", Housing Studies, 32(8), pp.1039~1061 (2017)
  49. Suppa, N., "Towards a Multidimensional Poverty Index for Germany", Empirica, 45(4), pp.655~683 (2018)
  50. Tasnim, T., "Housing Conditions Contribute to Underweight in Children : An Example from Rural Villages in Southeast Sulawesi, Indonesia", Journal of Preventive Medicine and Public Health, 50(5), pp.328~ (2017)
  51. Tauseef, S., "Can Money Buy Happiness? Subjective Wellbeing and Its Relationship with Income, Relative Income, Monetary and Non-monetary Poverty in Bangladesh", Journal of Happiness Studies, 23(3), pp.1073~1098 (2022)
  52. Tunstall, R., "The Links Between Housing and Poverty: An Evidence Review" (2013), Joseph Rowntree Foundation
  53. Uddin, M. F., "Poverty Profiles of Sylhet City Corporation : An MPI Approach", European Scientific Journal, 12(31), pp.388~399 (2016)
  55. "The UPPR: Multidimensional Poverty Index 2014" (2015)[URL]
  56. Wahed, W. Y., "Malnutrition and Its Associated Factors among Rural School Children in Fayoum Governorate, Egypt", Journal of Environmental and Public Health (2017), PMID
  57. World Development Report 2019: The Changing Nature of Work, "World Bank", World Bank, ~ (2019)
  58. Yu, J., "Multidimensional Poverty in China : Findings Based on the CHNS", Social Indicators Research, 112(2), pp.315~336 (2013)

관련 논문AI추천

Measurement of Multidimensional Poverty in Egypt박복영, Shaimaa Hussien국제학연구소 · Journal of International and Area Studies2019 · 제26권 제2호An Analysis of Household Vulnerability to Multidimensional Poverty and Implications for Poverty Reduction Policies in VietnamHang Thu Pham, Thu Thi Hoai Nguyen사람과세계경영학회 · Global Business and Finance Review2025 · 제30권 제5호MULTIDIMENSIONAL POVERTY STATUS OF BODO TRIBES OF UDALGURI DISTRICT, BODOLAND, ASSAMSHRABANTI MAITY경제연구소 · Journal of Economic Development2018 · 제43권 제1호중국 농촌 지역의 소득 빈곤과 다차원적 빈곤의 구조 분석김중기, 서성성, 양리리, 왕효봉한국유기농업학회 · 한국유기농업학회지2021 · 제29권 제4호Impact of Education on Multidimensional Poverty Reduction at the Post-Poverty Alleviation Era in XinjiangAilida Aikerbayr, Hongsen Wang, Jian Qiu대외경제정책연구원 · East Asian Economic Review2023 · 제27권 제3호MULTIDIMENSIONAL NATION WELLBEING, MORE EQUAL YET MORE POLARIZED: AN ANALYSIS OF THE PROGRESS OF HUMAN DEVELOPMENT SINCE 1990ALESSIO FARCOMENI, GORDON ANDERSON, MARIA GRAZIA PITTAU, ROBERTO ZELLI경제연구소 · Journal of Economic Development2019 · 제44권 제1호

이 간행물의 다른 논문 (6건)

On the Link between Indian Rupee and Its Trade in Services: An Asymmetric AnalysisSUJATA SAHA, MOHSEN BAHMANI-OSKOOEEpp. 1-20Determinants and Value Implications of Corporate ESG Bond Issuance: Evidence from South KoreaBOXIAN WANG, 박혜진, 이지윤pp. 21-42The Contribution of Emerging Countries’ Outward Foreign Direct Investment to Home Countries’ Economic GrowthCHOR FOON TANG, BEE WAH TAN, TECK KHUN LOOpp. 63-71A Baseline Measure for Post-Covid19 Export Performance: The Case of IndiaADIL KHAN MIANKHELpp. 73-96Universal Financial Inclusion and Economic Growth Linkage – Evidence from Emerging Indian EconomyANAND PANDEY, NITIN KUMAR, R. MURUGESANpp. 97-123
원문 보기