地理科学 ›› 2020, Vol. 40 ›› Issue (8): 1276-1284.doi: 10.13249/j.cnki.sgs.2020.08.006
收稿日期:
2019-06-02
出版日期:
2020-08-10
发布日期:
2020-12-07
作者简介:
汪艳涛(1981−),男,山东嘉祥人,讲师,硕导,博士,主要研究方向为生态经济与农村金融。E-mail: 基金资助:
Wang Yantao1,2(), Zhang Yaya1(
)
Received:
2019-06-02
Online:
2020-08-10
Published:
2020-12-07
Supported by:
摘要:
基于包含非期望产出的超效率SBM模型测度中国30个省际地区生态效率,采用基尼系数、对数离差均值及泰尔指数分析不同地区生态效率差异情况,运用空间联立方程模型探讨产业结构升级与生态效率间的交互效应与空间效应。主要结论为:① 中国生态效率整体水平较低且发展不均衡,东部地区高于中西部地区,西部地区高于中部地区;② 基尼系数、对数离差均值及泰尔指数3个指标显示,东部地区省际间生态效率存在较大差异,且差异变化程度并没有显著改善,中部地区省际间生态效率差异较小,西部地区省际间生态效率差异呈现先下降,后上升,再下降的趋势。③ 产业结构升级与生态效率存在双向互促作用,产业结构升级与生态效率均存在正向溢出效应,并且产业结构升级与生态效率存在正向交互空间溢出效应。
中图分类号:
汪艳涛, 张娅娅. 生态效率区域差异及其与产业结构升级交互空间溢出效应[J]. 地理科学, 2020, 40(8): 1276-1284.
Wang Yantao, Zhang Yaya. Regional Difference of Ecological Efficiency and Its Interactive Spatial Spillover Effect with Industrial Structure Upgrading[J]. SCIENTIA GEOGRAPHICA SINICA, 2020, 40(8): 1276-1284.
表 1
2008—2016年中国生态效率与产业结构升级Moran’sI "
变量 | 2008年 | 2009年 | 2010年 | 2011年 | 2012年 | 2013年 | 2014年 | 2015年 | 2016年 | |
ee | Moran’s I | 0.206 | 0.197 | 0.288 | 0.287 | 0.296 | 0.305 | 0.141 | 0.328 | 0.321 |
P值 | 0.019 | 0.025 | 0.003 | 0.003 | 0.002 | 0.002 | 0.072 | 0.001 | 0.001 | |
isc | Moran’s I | 0.212 | 0.210 | 0.245 | 0.246 | 0.254 | 0.263 | 0.253 | 0.245 | 0.255 |
P值 | 0.015 | 0.016 | 0.008 | 0.007 | 0.006 | 0.005 | 0.006 | 0.008 | 0.006 |
表 2
联立方程估计结果"
变量 | 生态效率方程 | 变量 | 产业结构升级方程 | |||
3SLS | GS3SLS | GS3SLS | ||||
| 5.6654*** | 2.3773*** | | 0.0691*** | 0.0341*** | |
(0.5032) | (0.7725) | (0.0051) | (0.011 0) | |||
| 0.0371 | 0.1682*** | | 0.0089** | 0.0145*** | |
(0.0403) | (0.0440) | (0.0039) | (0.0045) | |||
| 0.3279*** | 0.3123*** | | 0.0245*** | 0.0296*** | |
(0.0467) | (0.0545) | (0.0025) | (0.0028) | |||
| ?0.0800 | ?0.2351*** | | 0.0002 | 0.0117* | |
(0.0622) | (0.0716) | (0.0047) | (0.0063) | |||
| ?0.0806** | ?0.0768** | | 0.0245*** | 0.0345*** | |
(0.0329) | (0.0367) | (0.0067) | (0.0073) | |||
| ?0.1136*** | ?0.2063*** | | ?0.0102*** | ?0.0194*** | |
(0.0338) | (0.0383) | (0.0037) | (0.0044) | |||
| 0.1486*** | | 0.0084*** | |||
(0.0260) | (0.0027) | |||||
| 0.0308*** | | 0.0019** | |||
(0.0088) | (0.0008) | |||||
常数项 | ?22.3114*** | ?9.6398*** | 常数项 | 3.6302*** | 3.5470*** | |
(1.8422) | (2.8366) | (0.0238) | (0.0274) | |||
R-sq | 0.5706 | 0.6043 | R-sq | 0.6445 | 0.6579 |
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