|
|
|
| Study on the Convergence of China's Regional Green Innovation Efficiency |
| Lv Yanwei,Xie Yanxiang,Lou Xianjun |
| （School of Business, Shandong University, Weihai 264209, China） |
|
|
|
|
Abstract The paper takes "environmental pollution" and "innovation failure" into undesired output indicators and constructs the SBM-DEA model by using the panel data of 30 provinces of China from 2006 to 2016 to measure China's green innovation efficiency and regional differences. Furthermore, the paper tests the convergence of regional green innovation efficiency in China via the σ convergence model, the absolute β convergence model, and the conditional β convergence model. The results indicate that the regional green innovation efficiency of China shows an overall upward trend, however, there are also large regional differences, the green innovation efficiency in the eastern region is much higher than that in the central and western regions. Besides, there is no obvious σ convergence showing in the green innovation efficiency of the whole country, the eastern, the central and the western regions, but there is a significant absolute β convergence and the condition β converge in all of the above areas, and the remarkable factors that affecting the convergence are different among different areas in China.
|
|
Received: 31 May 2019
|
|
|
|
|
|
| [1]GROSSMAN G M, HELPMAN E. Endogenous innovation in the theory of growth[J]. Journal of Economic Perspectives, 1994, 8(1): 23-44.[2]张江雪,朱磊.基于绿色增长的我国各地区工业企业技术创新效率研究[J].数量经济技术经济研究,2012,29(2):113-125.[3]冯志军.中国工业企业绿色创新效率研究[J].中国科技论坛,2013(2):82-88.[4]张钢, 张小军. 绿色创新研究的几个基本问题[J]. 中国科技论坛, 2013(4): 12-15.[5]沈能, 周晶晶.技术异质性视角下的我国绿色创新效率及关键因素作用机制研究: 基于Hybrid DEA和结构化方程模型[J]. 管理工程学报, 2018, 32(4): 46-53.[6]CHUNG Y H, FARE R, GROSSKOPF S. Productivity and undesirable outputs: a directional distance function approach[J]. Journal of Environmental Management, 1997, 51(3): 229-240.[7]韩晶. 中国区域绿色创新效率研究[J]. 财经问题研究，2012(11): 130-137.[8]肖仁桥，王宗军，钱丽. 环境约束下中国省际工业企业技术创新效率研究[J]. 管理评论，2014(6): 56-66.[9]张逸昕，林秀梅. 中国省际绿色创新效率与系统协调度双演化研究[J]. 当代经济研究，2015(3): 51-56.[10]罗良文，梁圣蓉. 中国区域工业企业绿色技术创新效率及因素分解[J]. 中国人口·资源与环境，2016(9): 149-157.[11]钱丽，王文平，肖仁桥. 共享投入关联视角下中国区域工业企业绿色创新效率差异研究[J]. 中国人口·资源与环境，2018(5): 27-39.[12]邸俊鹏，王浩宇. 企业创新的失败容忍度、激励与行为选择[J]. 上海经济研究，2018(2): 16-26.[13]TONE K. A slacks-based measure of efficiency in data envelopment analysis[J]. European Journal of Operational Research. 2001, 130(3): 498-509.[14]BARRO R J, SALA-I-MARTIN X. Technological diffusion, convergence and growth[J]. Journal of Economic Growth,1997, 36(2)：1-26.[15]吕岩威，李平. 科技体制改革与创新驱动波及:1998—2013[J]. 改革,2016(1): 76-87.[16]COHEN, LEVINTHAL. Absorptive capability: a new perspective on learning and innovation[J]. Administrative Science Quarterly, 1990(35): 128-152.[17]刘凤朝，沈能. 基于专利结构视角的中国区域创新能力差异研究[J]. 管理评论,2006(11): 43-47.[18]李婧，白俊红，谭清美. 考虑空间效应的区域创新效率测评[J]. 研究与发展管理, 2011(1): 17-22.[19]熊彼特.经济发展理论[M]. 北京：商务印书馆, 1990. [20]尹征杰. 外商直接投资的外溢效应分析：面向东北老工业基地的研究[M]. 北京: 北京师范大学出版社, 2011.[21]白俊红,江可申,李婧.中国区域创新效率的收敛性分析[J].财贸经济,2008(9):119-123. |
|
|
|
