4.7 Article

Narrowing urban-rural income gap in China: The role of the targeted poverty alleviation program

Journal

ECONOMIC ANALYSIS AND POLICY
Volume 75, Issue -, Pages 74-90

Publisher

ELSEVIER
DOI: 10.1016/j.eap.2022.05.004

Keywords

Urban-rural income gap; Poverty alleviation; Difference-in-difference; Theil index; China

Categories

Funding

  1. National Natural Science Foundation of China [71903192]

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China's Targeted Poverty Alleviation program has been widely recognized for its significant impact on eliminating extreme poverty in rural areas, and this study demonstrates that it has also effectively narrowed the income gap between urban and rural households, particularly in the underdeveloped western region. The findings highlight the importance and feasibility of the program.
The Targeted Poverty Alleviation (TPA) program in China is widely regarded for its influence in eliminating extreme poverty of 70 million rural inhabitants. However, little is known about the extent to which the TPA program narrows the income gap between urban and rural households. Therefore, this study estimates the effect of the TPA program on the urban-rural income gap, measured by the Theil index. A difference-in-difference model with fixed-effects is used to estimate the panel dataset of 279 prefecture-level cities during 2010-2020. The findings show that the TPA program significantly reduced the urban-rural income gap. We obtain robust results using urban-rural income ratio as an income gap measure. Heterogeneous analysis reveals that the income gap reduction effects of the TPA program are largest in the underdeveloped western region, and the effect is smaller for households residing in the central and eastern regions. Effective targeting and a focus on capability building, following regional differences make the program a notable example in reducing poverty and inequality consistent with the Sustainable Development Goals. (c) 2022 Economic Society of Australia, Queensland. Published by Elsevier B.V. All rights reserved.

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