You are here: Home / Publications / Nonlinear Dynamics in the Finance-Inequality Nexus in China-CHNS Data

Nonlinear Dynamics in the Finance-Inequality Nexus in China-CHNS Data

Rahman, Mohammad Masudur; Guan, Fuquan; & Ara, Laila Arjuman. (2019). Nonlinear Dynamics in the Finance-Inequality Nexus in China-CHNS Data. Sustainability, 11(1), 191.

Rahman, Mohammad Masudur; Guan, Fuquan; & Ara, Laila Arjuman. (2019). Nonlinear Dynamics in the Finance-Inequality Nexus in China-CHNS Data. Sustainability, 11(1), 191.

Octet Stream icon 2770.ris — Octet Stream, 1 kB (1,301 bytes)

This paper empirically investigates the effects of financial development on incomes of Chinese residents particularly within various income groups using data from six provinces by applying the Quantile Regression model. The Greenwood and Jovanovich hypothesis that illustrates the inverted U shaped relationship between financial development and income inequality is tested. This empirical study demonstrates that financial development has a positive but non-linear effect on the annual income of individuals from various income groups at different quantiles. The effect is an inverted U or Kuznets effect indicating an increase at first and then a drop. As for the distribution of the impact on various income groups, the low-income group is under the most dominant influence followed by the high-income group with the middle-income groups receiving relatively smaller influence. Findings indicate that promoting balanced financial development would help to ease the income gap between Chinese residents.




JOUR



Rahman, Mohammad Masudur
Guan, Fuquan
Ara, Laila Arjuman



2019


Sustainability

11

1

191










2770