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| The Measurement of China's Regional innovative Green Development Efficiency and Its Influencing Factors |
| Li Xuesong,Zeng Yuhang |
| (School of Economic and Management, Wuhan University，Wuhan 430072，China) |
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Abstract Based on the research and development drive theory, this paper calculates the traditional and innovative green development efficiency and green total factor productivity in different regions of China from 2001 to 2017 by constructing the DEA-SBM model including R&D input, and empirically analyze the influencing factors of regional innovation green development efficiency by means of generalized least squares (GLS) model. The results show that: ① The innovative green development efficiency of China and the four major economic regions under the innovation factor is higher than the traditional green development efficiency under the traditional factors, showing an upward trend of volatility and gradually converge. The traditional and innovative green development efficiency in the eastern region is the highest. The efficiency of innovative green development in the central region has not been greatly improved, while the efficiency of innovative green development in the western and northeastern regions has improved. ②From 2001 to 2017, the national innovative green total factor productivity is on a rising trend, and its changing trend was consistent with the trend of technological progress. Technological progress was the main factor to promote its growth. ③ The economic development level of each region is positively correlated with the innovation green development efficiency. The urbanization level, FDI and the national innovation green development efficiency have a positive correlation effect; the industrial structure and environmental regulation are negatively related to the national innovation green development efficiency.The relationship between the scale of R & D investment, the intensity of R & D investment, the results of R & D investment, and the efficiency of regional innovative green development has different performances in the country and the four major economic regions.
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Received: 09 August 2019
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| [1] 何小钢, 王自力. 能源偏向型技术进步与绿色增长转型——基于中国33个行业的实证考察[J]. 中国工业经济, 2015(2):50-62.[2] 王志刚, 龚六堂, 陈玉宇. 地区间生产效率与全要素生产率增长率分解(1978—2003)[J]. 中国社会科学, 2006(2):55-66.[3] 朱承亮, 岳宏志, 李婷. 中国经济增长效率及其影响因素的实证研究:1985～2007年[J]. 数量经济技术经济研究, 2009(9):52-63.[4] 朱承亮, 师萍, 岳宏志,等. 人力资本、人力资本结构与区域经济增长效率[J]. 中国软科学, 2011(2):110-119.[5] 张浩然, 衣保中. 基础设施、空间溢出与区域全要素生产率——基于中国266个城市空间面板杜宾模型的经验研究[J]. 经济学家, 2012(2):61-67.[6] 杨汝岱. 中国制造业企业全要素生产率研究[J]. 经济研究, 2015(2):61-74.[7] 李雪松, 张雨迪, 孙博文. 区域一体化促进了经济增长效率吗——基于长江经济带的实证分析[J]. 中国人口·资源与环境, 2017(1):10-19.[8] 周璇, 陶长琪. 要素空间集聚、制度质量对全要素生产率的影响研究[J]. 系统工程理论与实践, 2019, 39(4):1051-1066.[9] 钱争鸣, 刘晓晨. 中国绿色经济效率的区域差异与影响因素分析[J]. 中国人口·资源与环境, 2013, 23(7).[10] SOLOW R M. A contribution to the theory of economic growth[J]. Quarterly Journal of Economics, 1956, 70(1): 65-94.[11] 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．[12] WEBER W L, DOMAZLICKY B. Productivity growth and pollution in state manufacturing[J]. Review of Economics & Statistics, 2001, 83(1):195-199.[13] WATANABE M, TANAKA K. Efficiency analysis of Chinese industry: a directional distance function approach[J]. Energy Policy, 2007, 35(12):6323-6331. [14] 王兵, 吴延瑞, 颜鹏飞. 中国区域环境效率与环境全要素生产率增长[J]. 经济研究, 2010(5):95-109.[15] 陶长琪, 齐亚伟.资源环境约束下我国省际全要素生产率测度分析——基于Global Malmquist-Luenberger指数[J]. 数量经济研究, 2012(1). [16] 王兵,刘光天. 节能减排与中国绿色经济增长——基于全要素生产率的视角[J]. 中国工业经济, 2015(5):57-69. [17] ROMER P.Endogenous technolgical change[J]．Journal of Political Economy，1990,98:71-102．[18] GROSSMAN G M，HELPMAN E.Quality ladders in the theory of growth[J]．Review of Economic Studies，1991，58:43－61．[19] SUEYOSHI T，GOTO M. A use of DEA － DA to measure importance of R&D expenditure in Japanese information technology industry[J]. Decision Support Systems，2013(54): 941–952.[20] WANG D，LI S，SUEYOSHI T. DEA environmental assessment on U. S.industrial sectors: investment for improvement in operational and environmental performance to attain corporate sustainability[J]. Energy Economics，2014(45): 254－267.[21] COSTA－CAMPIA M，GARCIA－QUEVEDOA J，MARTNEZ－ROSB E. What are the determinants of investment in environmental R&D[J]. Energy Policy，2017(104): 455–465.[22] 黄永春, 石秋平. 中国区域环境效率与环境全要素的研究——基于包含R&D投入的SBM模型的分析[J]. 中国人口·资源与环境, 2015, 25(12). [23] 万伦来, 朱琴. R&D投入对工业绿色全要素生产率增长的影响——来自中国工业1999~2010年的经验数据[J]. 经济学动态, 2013(9):20-26.[24] 王娟, 赵涛, 张啸虎. 2006-2012年中国工业行业能源和环境综合效率及其影响因素[J]. 资源科学, 2016, 38(2):311-320.[25] CHAMES A, COOPER W W, RHODES E. Measuring the efficiency of decision making units [J]. European Journal of Operational Research, 1979, 3(4): 338-339.[26] FUKUYAMA H, WEBER W Y L. A directional slacks-based measure of technical inefficiency[J].Socio-Economic Planning Sciences, 2009,(4).[27] 陈瑶. 中国区域工业绿色发展效率评估——基于R&D投入视角[J]. 经济问题, 2018, 472(12):83-89.[28] 罗能生, 李佳佳, 罗富政. 中国城镇化进程与区域生态效率关系的实证研究[J]. 中国人口·资源与环境, 2013, 23(11). |
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