主管单位:中国科学技术协会
主办单位:中国地理学会
承办单位:华东师范大学

世界地理研究 ›› 2020, Vol. 29 ›› Issue (5): 1040-1048.DOI: 10.3969/j.issn.1004-9479.2020.05.2019218

• 产业与布局 • 上一篇    下一篇

城市绿色发展效率的空间分异及影响因素——基于山东省17地市面板数据

郭付友1,2(), 陈才3, 刘志刚1,2   

  1. 1.曲阜师范大学地理与旅游学院,山东 日照 276800
    2.日照市国土空间规划与生态建设重点实验室,山东 日照 276800
    3.东北师范大学地理科学学院,长春 130022
  • 收稿日期:2019-05-17 修回日期:2019-09-16 出版日期:2020-09-30 发布日期:2020-09-11
  • 作者简介:郭付友(1987-),男,博士,副教授,硕士生导师,主要从事区域可持续发展方面的研究,E-mail:guofy945@nenu.edu.cn
  • 基金资助:
    国家自然科学基金项目(41801105);山东省自然科学基金项目(ZR2018BD002);山东省社会科学规划研究项目(18DJJJ14)

Evaluation and influence factors of green development efficiency ——Based on panel data of 17 cities in Shandong Province

Fuyou GUO1,2(), Cai CHEN3, Zhigang LIU1,2   

  1. 1.College of Geography and Tourism, Qufu Normal University, Rizhao 276800, China
    2.Rizhao Key Laboratory of Territory Spatial Planning and Ecological Construction, Rizhao 276800, China
    3.School of Geography Science, Northeast Normal University, Changchun, 130024, China
  • Received:2019-05-17 Revised:2019-09-16 Online:2020-09-30 Published:2020-09-11

摘要:

绿色发展效率的研究对于我国绿色发展水平的提升具有重要的借鉴作用。文章构建了城市绿色发展效率评价指标体系,并利用SBM-Undesirable模型、多元回归模型等多种计量方法对2005—2017年山东省17地级市绿色发展效率与影响因素进行了综合研究,结果表明:①基于非期望产出的绿色发展效率因考虑实际成本更加可靠、更贴近现实。②2005—2017年间,山东省17地市平均绿色发展效率呈现“峰-谷-峰-谷”的变化特征,且2005—2017年17地市平均绿色发展效率的标准差与变异系数呈现波动变化特征。③经济发展水平、财政支持对于绿色发展效率提升起到负向作用,外商直接投资具有显著的正向促进作用,而产业结构、科学技术和市场化水平等因素未通过显著性水平检验。

关键词: 绿色发展效率, 绩效评价, 影响因素, 山东省

Abstract:

Study on green development efficiency is important to improve the level of China’s green development. This paper constructs the evaluation index system of green development efficiency and analyzes the influencing factors of green development efficiency of 17 prefecture-level cities in Shandong Province from 2005 to 2017by using SBM-Undesirable model and multiple regression model. The results show that: ①Green development efficiency considering unexpected output is more reliable and closer to reality by considering real cost. ②The green development efficiency of Shandong Province presents the changing characteristics of "peak-valley-peak-valley" from 2005 to 2017. The standard deviation and coefficient of variation of green development efficiency of Shandong Province show fluctuating characteristics from 2005 to 2017. ③Economic development and financial support play a negative role in improving green development efficiency, and foreign direct investment has a significant positive effect. The factors of industrial structure, science and technology and marketization don’t pass the significance level test.

Key words: green development efficiency, performance evaluation, influencing factors, Shandong Province