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Updated: Jun 19, 2025
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Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
Published on: December 9, 2012
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Performance evaluation of inclusive green growth in China: Dynamic evolution, regional differences, and spatial
Yingchao Xu1, Lu Li2, Shujian Xiang3
1School of Economics, Jiaxing University, Jiaxing, Zhejiang, China.
Plos One
|July 25, 2024
Summary
China's inclusive green growth performance has improved, yet lower performance levels persist. Regional disparities are narrowing, with significant spatial correlations observed across cities.
Area of Science:
- Environmental Science
- Urban Studies
- Sustainable Development
Background:
- Inclusive green growth is crucial for sustainable development.
- Measuring inclusive green growth performance levels (IGGPLs) in Chinese cities is essential for policy evaluation.
Purpose of the Study:
- To construct an index system for IGGPLs in Chinese cities.
- To measure and analyze the evolution of IGGPLs in 271 Chinese cities from 2006 to 2020.
Main Methods:
- Vertical and horizontal scatter degree method for index construction.
- Kernel density, Dagum Gini coefficient, Moran index, and Markov chain methods for analysis.
Main Results:
- IGGPLs show rapid improvement but with a predominance of lower levels.
- Eastern regions lead, while western and central regions lag, with narrowing regional disparities.
- Significant spatial correlations of "high-high" and "low-low" agglomeration patterns are evident.
Conclusions:
- Inclusive green growth in Chinese cities is improving but unevenly distributed.
- Regional disparities are decreasing, with spatial factors playing a key role.
- Targeted policies are needed to address regional gaps and promote balanced development.
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