基于非估计参数的资源型城市绿色经济效率分析研究
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摘要
推动资源型城市绿色经济发展对经济增长转型、实现经济社会可持续发展具有重要意义。文章通过构建计量模型,基于非估计参数对资源型城市的绿色经济效率进行研究分析发现:从绿色经济发展状况来看,大部分的资源型城市绿色经济效率处于中上游阶段;从绿色经济的发展可以知道各地区绿色经济水平不均衡,中部地区绿色经济效率水平较低,而东、西部地区的绿色经济效率水平相对较高。因此,需要通过加强城市基础设施建设,促进要素自由流动,加快我国资源型城市的发展转型。
Based on the non estimation parameters,the green economic efficiency of resource-based cities is studied and analyzed,and a model is constructed. Through a series of analysis,a few conclusions are obtained. From the view of green economic development,the green economic efficiency of most of the resource-based cities is in the middle and upper reaches; the development of green economy. It can be known that the green economic level in various regions is not balanced,and the green economic efficiency in the central region is relatively low,while the green economic efficiency in the eastern and western regions is relatively high.
Based on the non estimation parameters,the green economic efficiency of resource-based cities is studied and analyzed,and a model is constructed. Through a series of analysis,a few conclusions are obtained. From the view of green economic development,the green economic efficiency of most of the resource-based cities is in the middle and upper reaches; the development of green economy. It can be known that the green economic level in various regions is not balanced,and the green economic efficiency in the central region is relatively low,while the green economic efficiency in the eastern and western regions is relatively high.
引文
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[8]赵昕,赵锐,陈镐,等.基于NSBM-Malmquist模型的中国海洋绿色经济效率时空格局演变分析[J].海洋环境科学,2018,37(2):175~181.
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[10]任阳军,汪传旭.中国绿色经济效率的区域差异及空间溢出效应研究[J].生态经济,2018,(2):93~96.
[2] Pitman,Kampas A,Petsakos A,et al. Price Induced Irrigation Water Saving:Unraveling Conflicts and Synergies Between European Agricultural and Water Policies for a Greek Water District[J]. Agricultural Systems,2017,113(113):28~38.
[3] Chung,Koelbl B S,Broek M A V D,et al. Uncertainty in the Deployment of Carbon Capture and Storage(CCS):A Sensitivity Analysis to Techno-economic Parameter Uncertainty[J]. International Journal of Greenhouse Gas Control,2016,27(8):81~102.
[4] Klein,Kvocˇka D,Falconer R A,et al. Appropriate Model Use for Predicting Elevations and Inundation Extent for Extreme Flood Events[J]. Natural Hazards,2015,79(3):1791~1808.
[5]诸大建,汪克亮,杨力,等.异质性生产技术下中国区域绿色经济效率研究[J].财经研究,2016,(4):57~67.
[6]王丽霞,刘耀彬,袁华锡,等.文化产业集聚对绿色经济效率的影响——基于动态面板模型的实证分析[J].资源科学,2017,39(4):747~755.
[7]张丽君,宋德勇,邓捷,等.我国环境规制对绿色经济效率的影响分析[J].学习与实践,2017,(3):23~33.
[8]赵昕,赵锐,陈镐,等.基于NSBM-Malmquist模型的中国海洋绿色经济效率时空格局演变分析[J].海洋环境科学,2018,37(2):175~181.
[9]张文博,邓玲,尹传斌.“一带一路”主要节点城市的绿色经济效率评价及影响因素分析[J].经济问题探索,2017,(11):84~90.
[10]任阳军,汪传旭.中国绿色经济效率的区域差异及空间溢出效应研究[J].生态经济,2018,(2):93~96.