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Determinants of participation in self-help-groups (SHG) and its impact on women empowerment

Author

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  • Simantini Mohapatra
  • Bimal Kishore Sahoo

Abstract

Purpose - The purpose of this study is to gain meaningful insights into a microfinance programme in two different agro-ecological settings in India. The study, using primary survey data, attempts to examine individual, household and environmental characteristics that determine participation in a self-help group (SHG)–bank linkage programme in Odisha. Design/methodology/approach - Primary data are collected by a stratified random sampling method. The sample size is 300 households and information is collected by canvassing a pre-designed schedule to women through door-to-door in-depth interviews. In addition, focus group discussions have been conducted to get qualitative information. A probit binary model is applied to examine the factors determining participation in a SHG–bank linkage programme. A composite index of women empowerment is computed taking three dimensions: autonomy, economic empowerment and the gender relationship. Further, ordinary least square multiple regression and treatment effect evaluation by propensity score matching is carried out to study the impact of participation on women empowerment. Findings - The study finds that the programme has by-passed the poorest of the poor. It is observed, however, that participation in microfinance has a positive and significant impact on women empowerment. Research limitations/implications - Given the research methodology adopted in this study, one concern is whether the results generalise. Therefore, researchers are encouraged to test the proposed propositions further. Practical implications - To improve status of women particularly in developing and underdeveloped regions, microfinance can act as a catalyst. Social implications - Microfinance in the form of SHG–bank linkage should be promoted, particularly for those social groups and religious communities where women are discriminated. Their participation in SHG–bank linkage programme will improve their social status through empowerment. Originality/value - This study illustrates how microfinance can improve the status of women.

Suggested Citation

  • Simantini Mohapatra & Bimal Kishore Sahoo, 2016. "Determinants of participation in self-help-groups (SHG) and its impact on women empowerment," Indian Growth and Development Review, Emerald Group Publishing Limited, vol. 9(1), pages 53-78, April.
  • Handle: RePEc:eme:igdrpp:v:9:y:2016:i:1:p:53-78
    DOI: 10.1108/IGDR-04-2015-0016
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    Citations

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    Cited by:

    1. K. Gayathri Reddy & Varsha, P. S. & L. N. Sudheendra Rao & Amit Kumar, 2019. "Exploring dimension, perceived individual tension and capacity building measure of women empowerment in India," Asian Journal of Empirical Research, Asian Economic and Social Society, vol. 9(5), pages 111-131, May.
    2. Danish Ahmad & Itismita Mohanty & Laili Irani & Dileep Mavalankar & Theo Niyonsenga, 2020. "Participation in microfinance based Self Help Groups in India: Who becomes a member and for how long?," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-26, August.
    3. Neog Bhaskar Jyoti & Sahoo Bimal Kishore, 2020. "Intragenerational labor mobility in the Indian labor market," IZA Journal of Development and Migration, Sciendo & Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 11(1), pages 1-30, January.

    More about this item

    Keywords

    Microfinance; Poverty; Political economy of growth and development; Micro-Credit; SHG; Women empowerment (WE); Propensity score matching (PSM); Treatment evaluation; B54; J16; O52; C4;
    All these keywords.

    JEL classification:

    • B54 - Schools of Economic Thought and Methodology - - Current Heterodox Approaches - - - Feminist Economics
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • O52 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Europe
    • C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics

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