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The nonlinear effect of financial and fiscal policies on poverty alleviation in China—An empirical analysis of Chinese 382 impoverished counties with PSTR models

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  • Xicong Kuang
  • Huihuang Liu
  • Guoqiang Guo
  • Haixing Cheng

Abstract

Using panel smooth transition regression (PSTR) models, this paper studies the effects of financial and fiscal policies on poverty reduction across 382 poverty-stricken counties in China. The findings are that both fiscal and financial policies have a positive influence on poverty reduction, and their relationships are nonlinear. For either a high or low degree of poverty, fiscal policies are effective for poverty reduction, while financial policies have a greater impact on poverty reduction when there is a medium degree of poverty. Therefore, in deciding which policies should be prioritized for reducing poverty, the level of poverty should be taken into account. To be more specific, when a portfolio of poverty-reduction policies is implemented, fiscal policies should be prioritized at the beginning, when the incidence of poverty is high. Then, financial support should come to the forefront as the poverty level drops, and fiscal support should be stepped up when the poverty level continues to drop.

Suggested Citation

  • Xicong Kuang & Huihuang Liu & Guoqiang Guo & Haixing Cheng, 2019. "The nonlinear effect of financial and fiscal policies on poverty alleviation in China—An empirical analysis of Chinese 382 impoverished counties with PSTR models," PLOS ONE, Public Library of Science, vol. 14(11), pages 1-19, November.
  • Handle: RePEc:plo:pone00:0224375
    DOI: 10.1371/journal.pone.0224375
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    References listed on IDEAS

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    3. Alessandra Cepparulo & Juan Carlos Cuestas & Maurizio Intartaglia, 2017. "Financial development, institutions, and poverty alleviation: an empirical analysis," Applied Economics, Taylor & Francis Journals, vol. 49(36), pages 3611-3622, August.
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    Cited by:

    1. Qitao Liu, 2022. "Determinants of financial poverty alleviation efficiency: Evidence from Henan, China," PLOS ONE, Public Library of Science, vol. 17(11), pages 1-20, November.

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