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Impact of human capital on the green economy: empirical evidence from 30 Chinese provinces
by
Zheng, Ruijing
, Cheng, Yu
, Wang, Yaping
, Wang, Jingjing
, Wang, Xinyang
in
Aquatic Pollution
/ Atmospheric Protection/Air Quality Control/Air Pollution
/ Capital stock
/ Capital structure
/ China
/ Climate change
/ Conservation of Energy Resources
/ Correlation analysis
/ Data analysis
/ Data envelopment analysis
/ Earth and Environmental Science
/ Econometrics
/ Economic Development
/ Economic growth
/ economic sustainability
/ Economics
/ Ecotoxicology
/ Education
/ Efficiency
/ Energy consumption
/ Environment
/ Environmental Chemistry
/ Environmental Health
/ Environmental impact
/ Environmental protection
/ GDP
/ Government policy
/ Green economy
/ Gross Domestic Product
/ Human capital
/ Humans
/ Innovations
/ Public policy
/ Regions
/ Research Article
/ Spatial data
/ spatial variation
/ Sustainable development
/ Waste Water Technology
/ Water Management
/ Water Pollution Control
2023
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Impact of human capital on the green economy: empirical evidence from 30 Chinese provinces
by
Zheng, Ruijing
, Cheng, Yu
, Wang, Yaping
, Wang, Jingjing
, Wang, Xinyang
in
Aquatic Pollution
/ Atmospheric Protection/Air Quality Control/Air Pollution
/ Capital stock
/ Capital structure
/ China
/ Climate change
/ Conservation of Energy Resources
/ Correlation analysis
/ Data analysis
/ Data envelopment analysis
/ Earth and Environmental Science
/ Econometrics
/ Economic Development
/ Economic growth
/ economic sustainability
/ Economics
/ Ecotoxicology
/ Education
/ Efficiency
/ Energy consumption
/ Environment
/ Environmental Chemistry
/ Environmental Health
/ Environmental impact
/ Environmental protection
/ GDP
/ Government policy
/ Green economy
/ Gross Domestic Product
/ Human capital
/ Humans
/ Innovations
/ Public policy
/ Regions
/ Research Article
/ Spatial data
/ spatial variation
/ Sustainable development
/ Waste Water Technology
/ Water Management
/ Water Pollution Control
2023
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Impact of human capital on the green economy: empirical evidence from 30 Chinese provinces
by
Zheng, Ruijing
, Cheng, Yu
, Wang, Yaping
, Wang, Jingjing
, Wang, Xinyang
in
Aquatic Pollution
/ Atmospheric Protection/Air Quality Control/Air Pollution
/ Capital stock
/ Capital structure
/ China
/ Climate change
/ Conservation of Energy Resources
/ Correlation analysis
/ Data analysis
/ Data envelopment analysis
/ Earth and Environmental Science
/ Econometrics
/ Economic Development
/ Economic growth
/ economic sustainability
/ Economics
/ Ecotoxicology
/ Education
/ Efficiency
/ Energy consumption
/ Environment
/ Environmental Chemistry
/ Environmental Health
/ Environmental impact
/ Environmental protection
/ GDP
/ Government policy
/ Green economy
/ Gross Domestic Product
/ Human capital
/ Humans
/ Innovations
/ Public policy
/ Regions
/ Research Article
/ Spatial data
/ spatial variation
/ Sustainable development
/ Waste Water Technology
/ Water Management
/ Water Pollution Control
2023
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Impact of human capital on the green economy: empirical evidence from 30 Chinese provinces
Journal Article
Impact of human capital on the green economy: empirical evidence from 30 Chinese provinces
2023
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Overview
In China, exploring the relationship between human capital and green economy in the context of economic transformation can promote the construction of an ecological civilization and high-quality economic development. This paper is dedicated to assessing the impact of human capital stock, human capital structure, and the difference between the two on China’s green economy. Using the super-efficiency slack-based measure (SBM) model, this paper evaluated the green total factor productivity (GTFP) of 30 Chinese provinces to assess the greenness of its economy and analyzed its spatiotemporal evolution from 2000 to 2017. A spatial error model (SEM) was established to explore the impact of human capital on green economy. The results show that (1) the GTFP of China increased continuously from 0.219 to 0.457, showing a regional spatial differentiation of “eastern region > central region > western region.” The spatial gaps of the green economy in the east-west and north-south directions are narrowing. (2) Moran’s
I
index and Moran’s
I
scatter plot indicate a significant spatial correlation between human capital and China’s green economy. The local spatial correlation between human capital and green economy is mainly characterized by “high-high” and “low-low” types of agglomeration. (3) The effects of human capital stock and human capital structure on green economy were both positive, with coefficients of 0.0005 and 0.1601, respectively, but the effects of human capital structure were not significant. (4) The results of regional regression show that the difference between the human capital impact coefficients on green economy in the eastern and midwestern regions is small. The impact of human capital stock and human capital structure on green economy is consistent with the national level results. It can be preliminarily concluded that the development of China’s green economy relied more on improving the human capital stock than on the improvement of the human capital structure. This study further enriches the literature on the green economy and provides information that can support government policy-making.
Publisher
Springer Berlin Heidelberg,Springer Nature B.V
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