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Linkages between poverty and income inequality of urban–rural sector: a time series analysis of India’s urban-based aspirations from 1951 to 1994

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  • Shahriar Kibriya
  • David Bessler
  • Edwin Price

Abstract

This study examines the impact of urban and rural development on poverty and inequality in India before economic reform. The methodology comprises two dimensions. Modern time series methods are used to uncover the dynamic patterns of urban–rural poverty and income inequality. A machine-learning algorithm is used to determine the causal structure among the development indicators. Our results show that reductions in rural poverty appear to be a more effective in reducing both urban and rural poverty, although the costs of achieving these reductions have not been considered.

Suggested Citation

  • Shahriar Kibriya & David Bessler & Edwin Price, 2019. "Linkages between poverty and income inequality of urban–rural sector: a time series analysis of India’s urban-based aspirations from 1951 to 1994," Applied Economics Letters, Taylor & Francis Journals, vol. 26(6), pages 446-453, March.
    • Handle: RePEc:taf:apeclt:v:26:y:2019:i:6:p:446-453
    DOI: 10.1080/13504851.2018.1486973
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    Cited by:

    1. Komatsu, Sho & Suzuki, Aya, 2021. "The Impact of Rural E-Commerce Development on Rural Income and Urban-Rural Income Inequality in China: A Panel Data Analysis," 2021 Conference, August 17-31, 2021, Virtual 315050, International Association of Agricultural Economists.
    2. Haoyun Meng & Peidong Deng & Jinbo Zhang, 2022. "Nonlinear Impact of Circulation-Industry Intelligentization on the Urban–Rural Income Gap: Evidence from China," Sustainability, MDPI, vol. 14(15), pages 1-26, August.
    3. Lili Li & Yiwu Zeng & Zi Ye & Hongdong Guo, 2021. "E‐commerce development and urban‐rural income gap: Evidence from Zhejiang Province, China," Papers in Regional Science, Wiley Blackwell, vol. 100(2), pages 475-494, April.
    4. Chen Shi & Zhou Zhang, 2021. "Institutional Diversity of Transferring Land Development Rights in China—Cases from Zhejiang, Hubei, and Sichuan," Sustainability, MDPI, vol. 13(23), pages 1-16, December.
    5. Tang, Le & Sun, Shiyu, 2022. "Fiscal incentives, financial support for agriculture, and urban-rural inequality," International Review of Financial Analysis, Elsevier, vol. 80(C).

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