Measuring multi-dimensional disparity index: A case of Nepal

被引:1
作者
Bhattarai, Prakash C. [1 ]
Shrestha, Milan [2 ]
Paudel, Prakash Kumar [3 ]
机构
[1] Kathmandu Univ, Sch Educ, Hattiban, Lalitpur, Nepal
[2] Tribhuvan Univ, Grad Sch Educ, Kathmandu, Nepal
[3] Kathmandu Univ, Dept Dev Educ, Sch Educ, Hattiban, Lalitpur, Nepal
关键词
INEQUALITY;
D O I
10.1371/journal.pone.0286216
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
This study introduces Multi-dimensional Disparity Index (MDI) to measure multi-form of disparity in different level of governments referencing Nepal. The measurement scale of MDI was developed by adopting Santos and Alkire's (2011) approaches. A wide range of thematic experts was consulted, employing the Semi-Delphi approach to determine its dimensions and indicators. The MDI in this study includes six dimensions and 34 indicators composited with dimension-wise indices like Economy Disparity Index [ECODI], Educational Disparity Index [EDUDI], Health Disparity Index [HDI], Geography and Climatic Vulnerability Index [GCVI], Living Standard Disparity Index [LSDI], and Demography Disparity Index [DDI]. Overall, the study revealed the extent of multi-dimensional disparity across three tiers of government in Nepal. More specifically, Nepal scored 0.388 MDI value. Karnali and Bagmati provinces are accounted as the highest and least deprived. This study contributes essential knowledge, particularly in exploring the dimensions and their indicators and develops an approach to measure multi-dimensional disparities. Most existing approaches for assessing disparities are mono-dimensional and measure the disparities in a single aspect. In this context, MDI provides a broader approach to consider multiple dimensions and measures multiple aspects in a country like Nepal, where disparity manifests at multiple levels.
引用
收藏
页数:14
相关论文
共 65 条
[1]   A clustering approach to identify multidimensional poverty indicators for the bottom 40 percent group [J].
Abdul Rahman, Mariah ;
Sani, Nor Samsiah ;
Hamdan, Rusnita ;
Ali Othman, Zulaiha ;
Abu Bakar, Azuraliza .
PLOS ONE, 2021, 16 (08)
[2]  
Acharya K., 2018, Dhaulagiri J Sociol Anthropol, V12, P37, DOI [10.3126/dsaj.v12i0.22178, DOI 10.3126/DSAJ.V12I0.22178]
[3]  
Alkire S., 2015, Multidimensional poverty measurement and analysis, DOI [DOI 10.1093/ACPROF:OSO/9780199689491.001.0001, 10.1093/acprof:oso/9780199689491.001.0001]
[4]  
Alkire S., 2010, United Nations Development Programme, Human Development Reports
[5]   Measuring Acute Poverty in the Developing World: Robustness and Scope of the Multidimensional Poverty Index [J].
Alkire, Sabina ;
Emma Santos, Maria .
WORLD DEVELOPMENT, 2014, 59 :251-274
[6]  
Alkire S, 2008, MANY DIMENSIONS OF POVERTY, P89
[7]  
ALKIRE Sabina., 2011, Multidimensional Poverty and its Discontents
[8]  
Amin E, 2017, J EVID-INFORM SOC WO, V14, P8, DOI 10.1080/23761407.2016.1264901
[9]  
[Anonymous], 2018, HUMAN DEV INDICES IN
[10]  
Arcaya MC, 2015, GLOBAL HEALTH ACTION, V8, DOI 10.3402/gha.v8.27106