Financial development, technological innovation and urban-rural income gap: Time series evidence from China

Li-Min Wang, Xiang-Li Wu and Nan-Chen Chu

PLOS ONE, 2023, vol. 18, issue 2, 1-18

Abstract: The main purpose of the paper is to investigate the relationship between technological innovation and income inequality for China based on the financial Kuznets curve (FKC) hypothesis. The study uses time-series data from 1985 to 2019. We employ the Johansen cointegration, ARDL model and VECM Granger causality techniques to analyze the links between the variables. We also use the DOLS, FMOLS and CCR mechanisms to estimate the long-run parameters. The paper finds that the FKC is valid for China’s economy in the long run. Technological innovation positively affects the urban-rural income gap, while there is an inverted-U shaped between financial development and the urban-rural income gap. The relationship between financial development and the urban-rural income gap is bi-directional causality. Technological innovation and the urban-rural income gap cause each other. Empirical results suggest a twofold policy meaning: i) to further the financial system and ii) to eliminate the adverse impacts of technological innovations on income distribution.

Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0279246

DOI: 10.1371/journal.pone.0279246

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