地理科学 ›› 2019, Vol. 39 ›› Issue (12): 1875-1883.doi: 10.13249/j.cnki.sgs.2019.12.005

• • 上一篇    下一篇

中国省际生态福利绩效测算及影响因素研究

李成宇1, 张士强1,2, 张伟2, 廖显春2   

  1. 1. 山东科技大学经济管理学院, 山东 青岛266590
    2. 济南大学绿色发展研究院, 山东 济南250022
  • 收稿日期:2019-06-18 修回日期:2019-08-23 出版日期:2019-12-10 发布日期:2020-03-01
  • 作者简介:李成宇(1990-),男,山东青州人,博士研究生,主要从事能源经济、生态经济研究。E-mail: 852981624@qq.com
  • 基金资助:
    国家社会科学基金项目资助(17AJL008);国家社会科学基金项目资助(15ZDB163)

Measurement and Influencing Factors of Inter-Provincial Ecological Well-being Performance in China

Li Chengyu1, Zhang Shiqiang1,2, Zhang Wei2, Liao Xianchun2   

  1. 1. College of Economics and Management, Shandong University of Science and Technology, Qingdao 266590, Shandong, China
    2. Institute of Green Development, University of Jinan, Jinan 250022, Shandong,China
  • Received:2019-06-18 Revised:2019-08-23 Online:2019-12-10 Published:2020-03-01
  • Supported by:
    National Social Science Foundation of China(17AJL008);National Social Science Foundation of China(15ZDB163)

摘要:

采用非期望产出SBM模型对2001~2015年中国省际生态福利绩效进行测算研究,运用空间自相关方法和空间误差模型对中国省际生态福利绩效的空间分布特征及影响因素进行检验。结果表明: 中国生态福利绩效总体水平较高,但呈现出下降态势;各省市之间差异性明显,仅有北京、上海等6个省市实现有效,其他省市均存在不同程度的无效率状态;区域之间也存在差异性,总体呈现出东部>西部>中部的分布格局。 中国省际生态福利绩效呈现正向空间自相关性,存在明显的集聚状态。中国省际生态福利绩效的主要影响因素有技术进步、绿化程度、社会性支出、医疗水平、城镇化、产业结构和环境规制。

关键词: 生态福利绩效, SBM模型, 空间自相关, 空间误差模型

Abstract:

Based on the panel data of 30 provinces in China from 2001 to 2015, this article uses the undesired output SBM model to measure the performance of China's inter-provincial ecological well-being. Based on this, the spatial autocorrelation method and spatial error model are used to analyze spatial distribution characteristics and influencing factors of inter-provincial ecological well-being performance in China. Conclusions are as follow: 1) China's overall ecological well-being performance level is relatively high, but it shows a downward trend. There are significant differences among 30 provinces. The performance of ecological well-being in Beijing, Tianjin, Shanghai, Guangdong, Qinghai and Ningxia was effective, and the input and output reached the optimal configuration. Other provinces are inefficient with different levels, but there is still room for improvement. There are also differences between regions, showing the distribution pattern of eastern region > western region > central region. 2) China's inter-provincial ecological well-being performance presents positive spatial autocorrelation, but the distribution pattern is not stable enough and is subject to change. At the same time, China's inter-provincial ecological well-being performance has a clear agglomeration in space. Provinces that embody the ‘H-H’ agglomeration state are mainly distributed in the eastern coastal areas. Provinces that embody the "L-L agglomeration" status are mainly distributed in the central and western regions. Provinces that embody the ‘H-L’ and ‘L-H’ agglomeration status are scattered in various regions. The main influencing factors of China's inter-provincial ecological well-being performance are technological progress, greening level, social expenditure, medical level, urbanization, industrial structure and environmental regulation. Among them, technological progress, greening level, social expenditure, medical level, urbanization level and ecological welfare performance were significantly positively correlated. There is a significant negative correlation between industrial structure and environmental regulation and ecological well-being performance.

Key words: ecological well-being performance, SBM model, spatial autocorrelation, spatial error model

中图分类号: 

  • F205/F062.2/X22