Green Innovation and the Urban–Rural Income Gap: Empirical Evidence from China

An in-depth understanding of the impact of green innovation on the urban–rural income gap is essential for developing countries seeking to address urban–rural imbalances and promote sustainable economic development. This study focuses on China, utilizing provincial panel data from 2007 to 2022, and employs the two-way fixed effects model, the mediating effects model, and the moderating effects model. The study’s key findings are: (1) Green innovation positively reduces the urban–rural income gap. Specifically, the regression results indicate that a one-unit increase in green innovation corresponds to a 0.017-unit reduction in the urban–rural income gap. (2) The heterogeneity analysis reveals that the effect of green innovation on the urban–rural income gap is more pronounced in regions with higher levels of economic development, in non-food-producing areas, and when green utility patents are adopted. Additionally, green innovation narrows the urban–rural income gap predominantly in high-skill regions. (3) Examining the influencing mechanism confirms that green innovation reduces the urban–rural income gap by promoting population urbanization, eco-urbanization, labor force restructuring, and mitigating wage income inequality. (4) The moderating effects analysis indicates that environmental pollution exacerbates the impact of green innovation on the urban–rural income gap; specifically, higher levels of environmental pollution amplify the effect of green innovation in reducing the gap. These findings offer valuable insights for addressing urban–rural income inequality and fostering sustainable socio-economic development in developing countries.

Authors

Institutions

Publication Details

Journal
Sustainability
Published
2025-02-28
DOI
https://doi.org/10.3390/su17052106
Citations
12
Primary Topic
Energy, Environment, Economic Growth
Type
article
Field-Weighted Citation Impact
37.57
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Green Innovation and the Urban–Rural Income Gap: Empirical Evidence from China

Jinda Wen, Haonan Chen
12 citations
Sustainability
Energy, Environment, Economic Growth
37.57
article

Green Innovation and the Urban–Rural Income Gap: Empirical Evidence from China

Jinda Wen, Haonan Chen
article en
12 citations

Abstract

An in-depth understanding of the impact of green innovation on the urban–rural income gap is essential for developing countries seeking to address urban–rural imbalances and promote sustainable economic development. This study focuses on China, utilizing provincial panel data from 2007 to 2022, and employs the two-way fixed effects model, the mediating effects model, and the moderating effects model. The study’s key findings are: (1) Green innovation positively reduces the urban–rural income gap. Specifically, the regression results indicate that a one-unit increase in green innovation corresponds to a 0.017-unit reduction in the urban–rural income gap. (2) The heterogeneity analysis reveals that the effect of green innovation on the urban–rural income gap is more pronounced in regions with higher levels of economic development, in non-food-producing areas, and when green utility patents are adopted. Additionally, green innovation narrows the urban–rural income gap predominantly in high-skill regions. (3) Examining the influencing mechanism confirms that green innovation reduces the urban–rural income gap by promoting population urbanization, eco-urbanization, labor force restructuring, and mitigating wage income inequality. (4) The moderating effects analysis indicates that environmental pollution exacerbates the impact of green innovation on the urban–rural income gap; specifically, higher levels of environmental pollution amplify the effect of green innovation in reducing the gap. These findings offer valuable insights for addressing urban–rural income inequality and fostering sustainable socio-economic development in developing countries.

SustainabilityVol. 17(5)
Beijing Technology and Business University (CN), Capital University of Economics and Business (CN)
Openalex Percentile: Top 0%
Energy, Environment, Economic Growth
37.57
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.