自然资源学报 ›› 2020, Vol. 35 ›› Issue (9): 2149-2162.doi: 10.31497/zrzyxb.20200909

• 其他研究论文 • 上一篇    下一篇

中国区域生态效率的时空演变及空间互动特征

沈伟腾1, 胡求光1,2, 李加林1,2,3,4, 陈琦1,2   

  1. 1.宁波大学商学院,宁波 315211;
    2.宁波大学东海研究院,宁波 315211;
    3.宁波大学地理与空间信息技术系,宁波 315211;
    4.宁波陆海国土空间利用与治理协同创新中心,宁波 315211
  • 收稿日期:2019-12-14 修回日期:2020-02-19 发布日期:2020-11-27
  • 通讯作者: 胡求光(1968- ),女,浙江东阳人,博士,教授,博士生导师,研究方向为生态经济、海洋经济。E-mail: huqiuguang@nbu.edu.cn
  • 作者简介:沈伟腾(1991- ),男,浙江嘉兴人,博士研究生,研究方向为生态经济、海洋生态等。E-mail: swtlzq@163.com
  • 基金资助:
    国家自然科学基金项目(71874092,41976209); 国家社会科学基金项目(19AZD004)

Spatio-temporal evolution and spatial interaction of regional eco-efficiency in China

SHEN Wei-teng1, HU Qiu-guang1,2, LI Jia-lin1,2,3,4, CHEN Qi1,2   

  1. 1. School of Business, Ningbo University, Ningbo 315211, Zhejiang, China;
    2. East China Sea Institute, Ningbo University, Ningbo 315211, Zhejiang, China;
    3. Department of Geography & Spatial Information Technology, Ningbo University, Ningbo 315211, Zhejiang, China;
    4. Collaborative Innovation Center for Land and Marine Spatial Utilization and Governance Research at Ningbo University, Ningbo 315211, Zhejiang, China
  • Received:2019-12-14 Revised:2020-02-19 Published:2020-11-27

摘要: 现有研究主要关注生态效率的测算,对生态效率的空间互动特征缺乏相应地分析。采用考虑非期望产出的SBM模型对中国30个省级行政区2005—2015年生态效率进行测度,并在此基础上利用空间自回归模型考察中国区域生态效率的空间互动特征。结果表明:(1)中国高生态效率区主要分布在沿海发达省份,而低效率区则主要分布在欠发达省份。(2)在全国层面,基于经济权重矩阵得到的空间自回归系数为正且显著,表明区域生态效率存在正向的空间互动效应。(3)分样本估计中,发达和欠发达地区样本的空间自回归系数均大于全样本估计得到的空间自回归系数,故发达和欠发达地区内部的空间互动效应强于发达和欠发达地区之间的空间互动效应,呈现出“群分效应”。

关键词: 区域生态效率, 空间互动, 群分效应, 空间自回归模型

Abstract: Eco-efficiency is an important indicator for measuring sustainable development. Clarifying the spatial distribution of eco-efficiency and its evolution is of vital importance to achieving coordinated regional development of China's economy and environment. However, previous research has failed to consider the spatial interaction distribution of eco-efficiency. The SBM model considering undesired output was used to measure the eco-efficiency of 30 provinces (municipalities and autonomous regions) in China from 2005 to 2015, and the spatial econometric model was used to investigate the spatial interaction pattern of eco-efficiency in China. The results show that: (1) From the perspective of the whole country or by region, China's eco-efficiency has generally shown a downward trend. (2) From the perspective of the evolution of the spatial distribution of eco-efficiency, the characteristics of high eco-efficiency distributed in developed provinces have been continuously strengthened, and low eco-efficiency areas are mainly distributed in developing provinces. Beijing, Tianjin, Shandong, Jiangsu, Shanghai, Zhejiang, Fujian, Guangdong, Hainan, Qinghai have always been in the first echelon of eco-efficiency, while Xinjiang, Guangxi and Hunan have always been in the fourth echelon. From 2005 to 2015, the members of each echelon changed, but the distribution characteristics based on the level of economic development remained basically unchanged. (3) At the national level, the estimation results based on the economic weight matrix show that there is a positive spatial interaction effect of eco-efficiency among regions. The improvement of eco-efficiency in a certain region will have a positive spillover effect on its economic neighbors. Extensive learning sharing and competition among different regions may explain the positive eco-efficiency interactions among regions. (4) The sub-sample test shows that the eco-efficiency of developed and developing regions shows a positive spatial interaction effect, and the spatial interaction effect is greater than the spatial interaction effect between the two types of regions, indicating that the distribution in China's eco-efficiency is based on the level of economic development, thus showing the "sorting" based on the level of economic development. This conclusion is still robust even with the geographic distance and adjacent weight matrix.

Key words: regional eco-efficiency, spatial interaction, sorting, spatial autoregressive model