摘要
以2009—2019年中国省级面板数据为研究对象,构建考虑非期望产出的全局超效率EBM模型测算我国各省份的实际生态效率值;运用泰尔指数、探索性数据方法揭示区域生态效率值的时空特征;构建GTWR模型研究生态效率影响因素的时空异质特征。结果表明:区域生态效率时间上呈现“速度快、后劲足、阶段性强”的特点;空间上则具有明显的梯度分布格局;各要素对生态效率的影响具有显著的时空非平稳特征,不同时空节点下,各要素的作用方向、时变趋势均不同,各地区系数的分布分别呈上升、下降、“N”型、倒“N”型等形态。论文据此提出机制赋能、配置赋能、要素赋能等政策建议。
Based on the provincial panel data of China from 2009 to 2019,this paper constructs a global super-efficiency EBM model that takes into account non-expected output to measure the actual ecological efficiency value of China’s provinces and cities.The temporal and spatial characteristics of regional ecological efficiency values were revealed by using the Theil index and exploratory data methods.The GTWR model was constructed to study the spatial and temporal heterogeneity of the factors affecting ecological efficiency.The results show that the regional ecological efficiency time shows the characteristics of“fast speed,strong strength and strong stage”,the spatial gradient distribution pattern was obvious.The influence of each element on ecological efficiency has significant spatio-temporal non-stationary characteristics.The direction and temporal trends of the effects of different factors vary across different spatiotemporal nodes,and the distribution of coefficients in different regions takes on various forms,such as upward,downward,“N”shaped,and inverted“N”shaped.Based on this,this article puts forward policy recommendations such as mechanism empowerment,configuration empowerment,and factor empowerment.
作者
唐建荣
苏苏
TANG Jianrong;SU Su(School of Business,Jiangnan University,Wuxi Jiangsu 214122,China)
出处
《生态经济》
北大核心
2023年第5期154-162,共9页
Ecological Economy
基金
国家社会科学基金“基于技术契合视角的公司创业投资生态链企业技术创新机理及其提升对策研究”(19BGL033)
中央高校基本科研业务费专项基金“企业家人力资本的结果、影响与激励研究”(2015JDZD11)。