Surya Narayan Biswal1, S. K. Mishra2 & M. K. Sarangi3
1Doctoral Research Scholar in Economics, Siksha ‘O’ Anusandhan (Deemed to be University), Bhubaneswar, Odisha, India. ORCID: 0000-0003-3890-3988. E-mail: suryabiswal100@gmail.com,
2Associate Professor in Economics, Siksha ‘O’ Anusandhan (Deemed to be University), Bhubaneswar, Odisha, India. ORCID ID: 0000-0003-0018-4172. E-mail: santoshmishra@soa.ac.in / skmtite@gmail.com,
2Associate Professor in Economics, Siksha ‘O’ Anusandhan (Deemed to be University), Bhubaneswar, Odisha, India. ORCID ID: 0000-0002-9231-1601. E–mail: minaketansarangi@soa.ac.in / sarangimk@gmail.com,
Volume 12, Number 5, 2020 I Full Text PDF
DOI: 10.21659/rupkatha.v12n5.rioc1s12n2
Abstract
UNDP’s 2030 agenda of Sustainable Development Goals (SDGs) emphasized gender equality in augmenting human capital and alleviating poverty. For eradication of extreme poverty and building resilience for persons who are vulnerable to poverty, SDGs calls for a pro-poor and gender-sensitive policy framework. In this context, a gender-based study on multi-dimensional aspects of poverty is highly significant. Extant literature reveals that females are more deprived in different dimensions of poverty such as education, health, living standard, empowerment, environment, autonomy and social relationship. The present study is conducted with the basic objective of examining feminization of poverty in rural areas of Jagatsinghapur district of Odisha. Seven socio-economic dimensions comprising sixteen indicators have been taken into consideration to construct the Multidimensional Poverty Index (MPI) using the Alkire-Foster (AF) Method at the individual level. The novelty of the study lies in analyzing MPI at the individual level for rural Odisha. Higher female deprivation is observed across social groups and all occupation categories except services. Dummy variable regression analysis also supports the major findings of the study. Complementary Cumulative Distribution Function satisfies strict first-order stochastic dominance condition and substantiates the feminisation of poverty at each level of poverty cut-off across all social groups and occupational categories except for services. The findings of the study have significant implications for developing suitable policies for gender equalization and poverty alleviation.
Keywords: Feminisation, Multidimensional Poverty, MPI, Odisha