| 中国省域绿色经济效率时空演变与影响因素异质性分析 |
| 摘要点击 58 全文点击 7 投稿时间：2024-06-05 修订日期：2024-09-28 |
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| 中文关键词 绿色经济效率 超效率SBM模型 时空地理加权回归（GTWR） 影响因素 异质性 |
| 英文关键词 green economy efficiency super efficiency SBM model geographically and temporally weighted regression（GTWR） influencing factors heterogeneity |
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| 中文摘要 |
| 在环境恶化的压力下,绿色经济发展成为各国解决经济与环境问题的有效途径,科学评估绿色经济效率对实现可持续发展具有重要意义. 首先基于2011~2022年中国30个省域的面板数据,使用超效率SBM模型对省域绿色经济效率进行了评估；其次利用核密度估计和泰尔指数等方法研究了中国省域绿色经济效率的时空演变特征；最后采用时空地理加权回归模型分析了影响因素的省级异质性问题. 结果表明,中国整体绿色经济效率呈上升趋势但数值较低,且存在多级分化向两极分化转变的现象,空间上呈现连片区块分布,东西差异显著；经济发展对绿色经济效率的影响最大,经济发展、人口密度和财政支出对省域绿色经济效率的正向影响更加明显,贸易开放、能源强度和环境规制的负向影响更加明显. |
| 英文摘要 |
| Under the pressure of environmental deterioration, green economic development has become an effective way for countries to solve economic and environmental problems, and scientific assessment of green economic efficiency is important to realize sustainable development. In this study, based on the panel data of 30 Chinese provinces from 2011 to 2022, we first used the super efficiency SBM model to assess the green economic efficiency of each province. Then, we analyzed the spatial and temporal evolutional characteristics of the green economic efficiency by using methods such as kernel density estimation and Theil index. Finally, we used the geographically and temporally weighted regression model to analyze the issue of provincial-level heterogeneity of the influencing factors. The results of the study showed that China's overall green economy efficiency demonstrated an upward trend but with low values, and a shift was observed from multilevel differentiation to polarization. Spatially, it showed a contiguous block distribution with notable east-west differences. Economic development had the greatest impact on green economic efficiency, and the positive impacts of economic development, population density, and financial expenditure on green economic efficiency were more obvious, while the negative impacts of trade openness, energy intensity, and environmental regulation were more obvious. |
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