摘要
研究目标:揭示中国区域绿色创新效率的时空跃迁特征及收敛性。研究方法:基于2006~2016年中国30个省份的面板数据,构建SBM-DEA模型对中国各省份绿色创新效率进行测度,并建立空间计量模型考察其时空跃迁特征及收敛性。研究发现:中国区域绿色创新效率存在较大的空间差异,呈现显著的正向空间相关性;中国区域绿色创新效率时空跃迁类型表现出高度的空间稳定性,时空演变具有较强的路径依赖特征;中国各地区绿色创新效率存在显著的绝对β空间收敛和条件β空间收敛特征,不同地区的影响因素不尽相同。研究创新:将“创新失败”“环境污染”因素作为非期望产出,纳入绿色创新效率的测度框架;采用空间相关性分析探讨区域绿色创新效率的跃迁路径;构建空间滞后模型和空间误差模型,将空间因素对收敛性的影响考虑在内。研究价值:有利于缩小区域绿色创新发展差距,实现经济协调可持续发展。
Research Objectives:This paper is to reveal the space-time transition characteristics and convergence of regional green innovation efficiency in China.Research Methods:Based on the panel data of 30 provinces in China's Mainland from 2006 to 2016,this paper constructs SBM-DEA model to measure the green innovation efficiency of each province,and then establishes spatial econometric model to examine the space-time transition characteristics and convergence of China's regional green innovation efficiency.Research Findings:China's regional green innovation efficiency has large spatial differences and presents a significant positive spatial correlation.The type of space-time transition in China's regional green innovation efficiency reflects a high degree of spatial stability,and the space-time evolution has strong path-dependent characteristics.The green innovation efficiency of each regions in China has significant absoluteβ-space convergence and conditionalβ-space convergence characteristics,and the influencing factors of different regions are not the same.Research Innovations:This paper incorporates“innovation failure”and“environmental pollution”factors into the analytical framework of green innovation efficiency,and uses spatial correlation analysis to explore the space-time transition characteristics of regional green innovation efficiency;which also constructs spatial autoregressive model and spatial error model,taking into account the influence of spatial factors on convergence.Research Value:It will narrow the gap between regional green innovation development and ultimately achieve coordinated and sustainable economic development.
作者
吕岩威
谢雁翔
楼贤骏
Lv Yanwei;Xie Yanxiang;Lou Xianjun;、(College of Business,Shandong University;Bank of Shanghai)
出处
《数量经济技术经济研究》
CSSCI
CSCD
北大核心
2020年第5期78-97,共20页
Journal of Quantitative & Technological Economics
基金
山东省社科规划基金项目(18DJJJ10)“山东省技术创新效率的空间差异、影响因素及其传导机制研究”
山东省自然科学基金项目(ZR2017MG032)“山东省创新驱动效率的时空演变、驱动机制与路径设计研究”的资助。
关键词
绿色创新效率
时空跃迁
空间效应
β
收敛
Green Innovation Efficiency
Space-time Transition
Spatial Effect
βConvergence
