College of Geographical Sciences, Harbin Normal University, Harbin, China.
Key Laboratory of Remote Sensing Monitoring of Geographic Environment of Heilongjiang Province, Harbin Normal University, Harbin, China.
PLoS One. 2023 Feb 10;18(2):e0279246. doi: 10.1371/journal.pone.0279246. eCollection 2023.
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.
本文旨在基于金融库兹涅茨曲线(FKC)假说,研究中国技术创新与收入不平等之间的关系。研究采用了 1985 年至 2019 年的时间序列数据。我们运用 Johansen 协整、ARDL 模型和 VECM 格兰杰因果关系技术来分析变量之间的联系。我们还使用 DOLS、FMOLS 和 CCR 机制来估计长期参数。本文发现,FKC 在中国经济的长期中是有效的。技术创新对城乡收入差距有正向影响,而金融发展与城乡收入差距之间存在着倒 U 型关系。金融发展与城乡收入差距之间存在双向因果关系。技术创新和城乡收入差距相互作用。实证结果表明,有两重政策意义:i)进一步完善金融体系,ii)消除技术创新对收入分配的不利影响。