中国省际绿色包容性效率的时空演变特征及其影响因素

采用考虑非期望产出的Super-SBM模型测度2000—2016年中国省际绿色包容性效率,分析了绿色包容性效率的时空演变特征,在此基础上运用面板Tobit模型识别了其影响因素.结果表明: 考虑社会因素和生态环境因素的绿色包容性效率明显低于仅考虑社会因素的包容性效率,绿色包容性因素对效率测算具有显著影响.2000—2016年,中国省际绿色包容性效率总体呈现先下降后上升的“U字型”演变轨迹,并具有明显的阶段性特征;省际间绿色包容性效率的绝对差异和相对差异均呈扩大趋势.中国省际绿色包容性效率空间上呈现不均衡格局特征,全国形成京津、长三角和珠三角3个高效率集聚区,低效率类型散布在西南、西北、华北、长江中下游部分地区.推进产业结构优化升级、提升地方政府宏观调控水平、优化进出口结构、充分发挥市场作用和提高科技创新水平,对于提高绿色包容性效率具有重要作用.

Spatio-temporal evolution and influencing factors of inter-provincial green inclusive efficiency in China.

This study used Super-SBM model considering the undesirable outputs to measure inter-provincial green inclusive efficiency in China, analyzed the spatial and temporal changes and the influencing factors by panel Tobit model during 2000 to 2016. The results showed that green inclusive efficiency considering both social and eco-environmental factors was significantly lower than that only considering social factors. Green inclusive factors had significant impacts on the measurements. From 2000 to 2016, the inter-provincial green inclusive efficiency in China showed a trend of U-shaped evolution with obvious staged characteristics. The absolute and relative differences of green inclusive efficiency between provinces were expanding. China’s inter-provincial green inclusive efficiency showed an unbalanced spatial pattern. There were three high-efficient agglomeration areas in the whole country: Beijing-Tianjin, the Yangtze River Delta, and the Pearl River Delta. The low-efficient types were scattered in the southwestern, northwestern, northern China, as well as in the middle and lower reaches of the Yangtze River. To comprehensively improve green inclusive efficiency, it should take more measures by promoting the optimization and upgrading of industrial structure, upgrading the level of macro-control of local governments, optimizing the import and export structure, fully considering the role of the market, and improving the level of scientific and technological innovation.