Dynamic Evolution and Regional Differences of the Input-output Efficiency of China's Innovative Industrial Clusters:An Analysis Based on Provincial Panel Data
Wang Huan1,Zhang Ling2
(1.School of Business Administration, Shanxi University of Finance&Economics; 2.School of Management Science and Engineering, Shanxi University of Finance & Economics, Taiyuan 030006,China)
王欢,张玲. 中国创新型产业集群投入产出效率动态演进及区域差异——基于省际面板数据的分析[J]. 科技进步与对策, 2022, 39(6): 62-71.
Wang Huan,Zhang Ling. Dynamic Evolution and Regional Differences of the Input-output Efficiency of China's Innovative Industrial Clusters:An Analysis Based on Provincial Panel Data. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2022, 39(6): 62-71.
[1] 田颖, 田增瑞, 韩阳,等.国家创新型产业集群建立是否促进区域创新[J].科学学研究, 2019,37(5):817-825.[2] HELVOIGT T L, ADAMS D M.A stochastic frontier analysis of technical progress, efficiency change and productivity growth in the Pacific Northwest sawmill industry[J].Forest Policy and Economics, 2009,11(4):280-287.[3] BHASKARAN E.The productivity analysis of Chennai automotive industry cluster[M].New Delhi：Springer India, 2014.[4] SPITISIN V, MIKHALCHUK A, SPITSINA L, et al.Product innovation efficiency of Russian electronic industry: DEA aproach and cluster analysis[C].International Conference on Social Science and Higher Education,2016: 607-610.[5] ZOU H, SONG J, SUN D.Efficiency model of innovative industrial cluster based on entropy theory[C].International Conference on Management of Technology, 2009: 456-461.[6] 余珮, 程阳.我国国家级高新技术园区创新效率的测度与区域比较研究：基于创新价值链视角[J].当代财经, 2016 (12):3-15.[7] 刘满凤, 李圣宏.基于三阶段DEA模型的我国高新技术开发区创新效率研究[J].管理评论, 2016, 28(1):42-52.[8] 吴传清, 黄磊, 文传浩.长江经济带技术创新效率及其影响因素研究[J].中国软科学, 2017（5）:160-170.[9] 孙振清，李欢欢，刘保留.中国东部沿海四大城市群协同创新效率综合测度及影响因素研究[J].科技进步与对策, 2021, 38(2): 47-55.[10] 叶堂林, 李璐, 王雪莹.我国东部三大城市群创新效率及影响因素对比研究[J].科技进步与对策, 2021, 38(11):36-45.[11] 吕承超, 邵长花, 崔悦.中国绿色创新效率的时空演进规律及影响因素研究[J].财经问题研究, 2020（12）:50-57.[12] BARRO R J, SALA-I-MARTIN X.Technological diffusion, convergence, and growth[J].Journal of Economic Growth, 1997,2(1) :1-26.[13] REZITIS A N.Agricultural productivity and convergence: Europe and the United States[J].Applied Economics, 2010, 42(8):1029-1044.[14] 戴维·罗默.高级宏观经济学[M].上海：上海财经大学出版社, 2014.[15] 范德成, 李盛楠.中国高技术产业技术创新实际效率测度及收敛性分析[J].软科学, 2019, 33(10):1-5,19.[16] 马玉林, 马运鹏.中国科技资源配置效率的区域差异及收敛性研究[J].数量经济技术经济研究, 2021, 38(8):83-103.[17] 滕泽伟, 胡宗彪, 蒋西艳.中国服务业碳生产率变动的差异及收敛性研究[J].数量经济技术经济研究, 2017, 34(3):78-94.[18] 白俊红, 卞元超.要素市场扭曲与中国创新生产的效率损失[J].中国工业经济, 2016，33(11):39-55.[19] 杨清可, 段学军.基于DEA-Malmquist模型的高新技术产业发展效率的时空测度与省际差异研究[J].经济地理, 2014, 34(7):103-110.[20] 刘志春, 陈向东.科技园区创新生态系统与创新效率关系研究[J].科研管理, 2015, 36(2):26-31.[21] SIMAR L, WILSON P W.Estimation and inference in two-stage, semi-parametric models of production processes[J].Journal of Econometrics, 2007, 136(1):31-64.[22] 孟维站, 李春艳, 石晓冬.中国高技术产业创新效率分阶段分析：基于三阶段DEA模型[J].宏观经济研究, 2019(2):78-91.[23] 石旻, 张大永, 邹沛江,等.中国新能源行业效率：基于DEA方法和微观数据的分析[J].数量经济技术经济研究, 2016, 33(4):60-77.[24] SEIFORD L M.Data envelopment analysis: the evolution of the state of the art (1978—1995) [J].Journal of Productivity Analysis, 1996, 7(2):99-137.[25] FRIED H O, LOVELL C, SCHMIDT S S, et al.Accounting for environmental effects and statistical noise in data envelopment analysis[J].Journal of Productivity Analysis, 2002, 17(1-2):157-174.[26] CHARNES A, COOPER W W, RHODES E.Measuring the efficiency of decision making units[J].European Journal of Operational Research, 1978, 2(6):429-444.[27] JONDROW J, LOVELL C, MATEROV I S, et al.On the estimation of technical inefficiency in the stochastic frontier production function model[J].Journal of Econometrics, 1981, 19(2-3):233-238.
