长江经济带新型城镇化环境绩效评价
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摘要
利用SBM模型、ML指数评价长江经济带新型城镇化环境绩效。结论表明:2008—2017年,长江经济带新型城镇化环境绩效总体无效,区域间的发展有差距;新型城镇化环境绩效总体走势相对平稳,没有太大波动;全要素生产率的改善主要因为技术效率的提升,技术进步指数偏低但呈上升趋势。由此提出优化空间格局、促进高新技术产业发展以及各省市间协同发展等相关建议。
The SBM model and ML index were used to evaluate the environmental performance of the new urbanization in the Yangtze River Economic Belt. The results showed that the environmental performance of the new urbanization in the Yangtze River Economic Belt from 2008 to 2017 was generally ineffective and there was a gap between regions. The overall trend of environmental performance of new urbanization was relatively stable and didn't fluctuate much.The improvement of total factor productivity was mainly due to the improvement of technical efficiency. The index of technical progress was low but on the rise. Finally, some suggestions were given, such as optimizing the spatial pattern, promoting the development of high-tech industries and the coordinated development between provinces and cities.
The SBM model and ML index were used to evaluate the environmental performance of the new urbanization in the Yangtze River Economic Belt. The results showed that the environmental performance of the new urbanization in the Yangtze River Economic Belt from 2008 to 2017 was generally ineffective and there was a gap between regions. The overall trend of environmental performance of new urbanization was relatively stable and didn't fluctuate much.The improvement of total factor productivity was mainly due to the improvement of technical efficiency. The index of technical progress was low but on the rise. Finally, some suggestions were given, such as optimizing the spatial pattern, promoting the development of high-tech industries and the coordinated development between provinces and cities.
引文
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[2]王家庭，赵亮.我国区域城市化效率的动态评价[J].软科学，2009,23(7):92-98.
[3]戴永安.中国城市化效率及其影响因素———基于随机前沿生产函数的分析[J].数量经济技术经济研究，2010,27(12):103-117+132.
[4]彭迪云，刘畅，宋一凡.长江经济带新型城镇化水平评价与时空演变分析[J].统计与决策，2016(18):87-90.
[5]刘俊杰，白雪冰.基于DEA-Malmquist方法珠江-西江经济带城市化效率及影响因素[J].数学的实践与认识，2018,48(13):312-320.
[6] TONE K.A slacks-based measure of efficiency in data envelopment analysis[J].European Journal of Operational Research,2001,130(3):498-509.
[7]谢永琴，曹怡品.基于DEA-SBM模型的中原城市群新型城镇化环境效率评价研究[J].城市发展研究，2018,25(2):135-141.
[8]刘畅.中国省域循环经济绩效评价[J].中国环境管理干部学院学报，2016,26(6):43-46.