The measurement of urban green development guality in the Yangtze river economic belt and the analysis of its influencing factors

doi:10.14088/j.cnki.issn0439-8114.2020.23.047

Abstract

Abstract: Based on the panel data of 11 provincial capitals in the Yangtze river economic belt from 2003 to 2017,the entropy method was used to analyze the quality of green development,and Tobit panel regression model was used to analyze the factors affecting the quality of green development.The results show that the quality of green development of cities in the Yangtze river economic belt is fluctuating and rising,and the regional differences are obvious.The overall trend is gradually decreasing from the upstream cities to the downstream cities and then to the middle cities,that is,the trend of “high at both ends and low in the middle”The level of economic development,market opening,foreign investment and environmental regulation play a significant role in improving the quality of green development.However,industrial structure,scientific and technological progress and urbanization play an inhibitory role in the quality of green development.The optimization path of improving the quality of urban green development in the Yangtze river economic belt was put forward from four aspectsDocking national strategy,increasing government support,optimizing industrial structure and coordinating regional differences.

Key words: entropy method, tobit regression model, Yangtze river economic belt, green development quality

CLC Number:

F222

HE Yuan-jing, SU Pan-da, WEN Chao. The measurement of urban green development guality in the Yangtze river economic belt and the analysis of its influencing factors[J]. HUBEI AGRICULTURAL SCIENCES, 2020, 59(23): 222-229.

References

[1] REARDON J.Comments on green economics:Setting the scene.aims,context,and philosophical underpinnings of the distinctive new solutions offered by green economics[J].International journal of green economics,2007,1(3):532-538.
[2] 胡鞍钢.中国:创新绿色发展[M].北京:中国人民大学出版社,2012.3-9.
[3] 朱春红,马涛.区域绿色产业发展效果评价研究[J].经济与管理研究,2011(3):64-70.
[4] 黄羿,杨蕾,王小兴,等.城市绿色发展评价指标体系研究——以广州市为例[J].科技管理研究,2012,32(17):55-59.
[5] 肖宏伟,李佐军,王海芹.中国绿色转型发展评价指标体系研究[J].当代经济管理,2013,35(8):24-30.
[6] 向书坚,郑瑞坤.中国绿色经济发展指数研究[J].统计研究,2013,30(3):72-77.
[7] 陈劭锋,刘扬.绿色发展的一种综合评估方法及应用[J].科技促进发展,2013(4):40-47.
[8] 李琳,楚紫穗.我国区域产业绿色发展指数评价及动态比较[J].经济问题探索,2015(1):68-75.
[9] 石宝峰,迟国泰.基于信息含量最大的绿色产业评价指标筛选模型及应用[J].系统工程理论与实践,2014(7):1799-1810.
[10] 郭永杰,米文宝,赵莹.宁夏县域绿色发展水平空间分异及影响因素[J].经济地理,2015,35(3):45-51,8.
[11] 庄贵阳.中国发展低碳经济的困难与障碍分析[J].江西社会科学,2009(7):29-33.
[12] 王珂,秦成逊.西部地区实现绿色发展的路径探析[J].经济问题探索,2013(1):89-93.
[13] 原毅军,谢荣辉.FDI、环境规制与中国工业绿色全要素生产率增长——基于Luenberger指数的实证研究[J].国际贸易问题,2015(8):84-93.
[14] 廖中举,李喆,黄超.钢铁企业绿色转型的影响因素及其路径[J].钢铁,2016,51(4):83-88.
[15] 李华旭,孔凡斌,陈胜东.长江经济带沿江地区绿色发展水平评价及其影响因素分析——基于沿江11省(市)2010—2014年的相关统计数据[J].湖北社会科学,2017(8):68-76.
[16] 余威震,罗小锋,薛龙飞,等.中国农村绿色发展水平的时空差异及驱动因素分析[J].中国农业大学学报,2018,23(9):186-195.