2019
DOI: 10.1080/1540496x.2018.1562896
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Financial Inclusion and Urban–Rural Income Inequality: Long-Run and Short-Run Relationships

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Cited by 76 publications
(50 citation statements)
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References 28 publications
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“…This finding is in contrast to those of China-specific studies (Zhang, Zhang, and He 2018;Huang and Zhang 2019;Zhang and Posso 2019). While the empirical evidence on the potential inequality-reducing effects of financial inclusion in China is limited, it generally suggests that financial inclusion can contribute to reducing inequality, by facilitating entrepreneurship among the rural poor.…”
Section: Prior Researchcontrasting
confidence: 77%
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“…This finding is in contrast to those of China-specific studies (Zhang, Zhang, and He 2018;Huang and Zhang 2019;Zhang and Posso 2019). While the empirical evidence on the potential inequality-reducing effects of financial inclusion in China is limited, it generally suggests that financial inclusion can contribute to reducing inequality, by facilitating entrepreneurship among the rural poor.…”
Section: Prior Researchcontrasting
confidence: 77%
“…Their findings show that financial inclusion has a positive effect on income, and that this effect is larger for households at the lower quantiles of the income distribution, indicating that it reduces income inequality within rural areas. Financial inclusion has also been found to reduce rural-urban income inequality 5 (Huang and Zhang 2019). Findings by Zhang, Zhang, and He (2018) indicate that digital financial inclusion is positively associated with household income, and this positive association is only significant for rural households.…”
Section: Prior Researchmentioning
confidence: 99%
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“…In addition, the effects of the control variables on the urban-rural income gap in Tables 4 and 5 have the same directions with the findings of the existing studies (e.g., Huang & Zhang, 2019;Park & Mercado, 2018;Wu & Rao, 2017). Specifically, urbanisation level, agricultural expenditure and financial development are conductive to narrowing the income gap.…”
Section: The Results Of the Threshold Model Estimationsupporting
confidence: 69%
“…The second group studies individual and household characteristics, such as human capital, health, and family structure (Solinger, 1999;Young, 2013). The third group studies macro-socioeconomic factors, such as education expansion (Nie & Xing, 2019), social insurance coverage (He & Sato, 2011), falling labour share (Molero-Simarro, 2017), financial development (Huang & Zhang, 2019), urbanisation (Qiu & Zhao, 2019;Wang, Shao, & Li, 2019) and industrial structure (Yang, Nie, Liu, & Shen, 2018).…”
Section: Introductionmentioning
confidence: 99%