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How Microcredit Supports the Employability in the New Normal Era? A Study on Rural Backdrop of India

In: New Business Models in the Course of Global Crises in South Asia

Author

Listed:
  • Srimoyee Datta

    (Bengal Institute of Science & Technology)

  • Tarak Nath Sahu

    (Vidyasagar University)

Abstract

The study seeks to foster fresh empirical evidence on how microfinance institutions can act as a saviour in the pandemic crisis. In today’s time, the outspread of corona bringing up many negative consequences into our lifestyle. We are bound to adopt the new normal lifestyle to sustain in this crisis. Among other changes beyond health, unemployment or losing of job emerges as an intimidating issue in world economy. Microfinance institution with its social service motive can show the way to venture into self-income opportunities and help to generate employment for others. This study observes the outreach of MFIs in two blocks of Purulia and their involvement into employment generation. Composed of 300 borrowers and applying multiple regressions, this study shows that employment generation has a positive association with the micro ventures.

Suggested Citation

  • Srimoyee Datta & Tarak Nath Sahu, 2021. "How Microcredit Supports the Employability in the New Normal Era? A Study on Rural Backdrop of India," Springer Books, in: Amina Omrane & Sudin Bag (ed.), New Business Models in the Course of Global Crises in South Asia, chapter 0, pages 243-256, Springer.
  • Handle: RePEc:spr:sprchp:978-3-030-79926-7_14
    DOI: 10.1007/978-3-030-79926-7_14
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    Cited by:

    1. Zhang, Peng & Li, Zeyun & Ghardallou, Wafa & Xin, Yan & Cao, Jie, 2023. "Nexus of institutional quality and technological innovation on renewable energy development: Moderating role of green finance," Renewable Energy, Elsevier, vol. 214(C), pages 233-241.
    2. Chang, Lei & Mohsin, Muhammad & Hasnaoui, Amir & Taghizadeh-Hesary, Farhad, 2023. "Exploring carbon dioxide emissions forecasting in China: A policy-oriented perspective using projection pursuit regression and machine learning models," Technological Forecasting and Social Change, Elsevier, vol. 197(C).

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