成渝城市群与珠三角城市群创新潜力比较及影响因素分析
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摘要
城市群区域创新一体化对促进区域内部资源优化整合,带动周边城市创新发展具有重大意义。使用随机前沿知识生产模型研究了成渝城市群及珠三角城市群创新潜力,并采用一步法的创新非效率模型分析了影响创新潜力的主要因素。结果表明,随着创新阻力的减少,成渝城市群及珠三角城市群的创新效率在不断提升,且差距逐渐缩小;相比于珠三角城市群,成渝城市群拥有更大的创新潜力。同时,城市群内部各城市之间创新效率差异明显。为进一步提高各城市群的创新效率,应进一步转变经济发展方式,扩大开放,加强政府对创新的扶持力度,优化创新环境,提高工业集聚水平。
Regional innovation integration of urban agglomeration is of far-reaching significance to promote the optimization and integration of regional internal resources and drive the innovative development of surrounding cities. This paper uses stochastic frontier knowledge production model to study the innovation potential of Chengdu-Chongqing city cluster and Pearl River Delta city cluster, and uses one-step innovation non-efficiency model to analyze the main factors influencing innovation potential. The results show that the innovation of the Chengdu-Chongqing urban agglomeration and Pearl River Delta urban agglomeration is improving efficiency with the innovation resistance reducing, and the gap is narrowing, compared to the Pearl River Delta urban agglomeration, Chengdu-Chongqing urban agglomeration has greater innovation potential, at the same time. There are significant differences in innovation efficiency among cities within urban agglomerations. In order to further improve the innovation efficiency of urban agglomerations, we should further transform the mode of economic development and opening wider to the outside, strengthen government support for innovation, optimize the environment of innovation, and improve the level of industrial agglomeration.
Regional innovation integration of urban agglomeration is of far-reaching significance to promote the optimization and integration of regional internal resources and drive the innovative development of surrounding cities. This paper uses stochastic frontier knowledge production model to study the innovation potential of Chengdu-Chongqing city cluster and Pearl River Delta city cluster, and uses one-step innovation non-efficiency model to analyze the main factors influencing innovation potential. The results show that the innovation of the Chengdu-Chongqing urban agglomeration and Pearl River Delta urban agglomeration is improving efficiency with the innovation resistance reducing, and the gap is narrowing, compared to the Pearl River Delta urban agglomeration, Chengdu-Chongqing urban agglomeration has greater innovation potential, at the same time. There are significant differences in innovation efficiency among cities within urban agglomerations. In order to further improve the innovation efficiency of urban agglomerations, we should further transform the mode of economic development and opening wider to the outside, strengthen government support for innovation, optimize the environment of innovation, and improve the level of industrial agglomeration.
引文
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[22] 陈庆江,李启航.社会研发资本积累提高了企业技术创新效率吗[J].产业经济研究,2017(1):62-75.
[23] 原毅军,谢荣辉.产业集聚、技术创新与环境污染的内在联系[J].科学学研究,2015,33(9):1340-1347.
[2] FLORIDA R.The rise of the creative class[J].Washington Monthly,2002,35(5):593-596.
[3] 陈雄辉,张本祥,徐毅,等.基于复杂网络理论的广东区域创新能力测度方法研究[J].科技进步与对策,2010,27(20):121-124.
[4] 邹燕.创新型城市评价指标体系与国内重点城市创新能力结构研究[J].管理评论,2012,24(6):50-57.
[5] 曹勇,曹轩祯,罗楚珺,等.我国四大直辖城市创新能力及其影响因素的比较研究[J].中国软科学,2013(6):162-170.
[6] 张永凯.我国创新型试点城市科技创新能力分析与评价[J].生产力研究,2015(3):63-65.
[7] 王兴平,李迎成,周军.创新潜力的中心-边缘效应探析[J].科技管理研究,2016,36(11):1-7.
[8] 汪涛,丁雪,杜根旺.国内外区域创新能力研究综述与未来展望[J].技术经济,2014,33(9):43-48.
[9] HALL J L.Developing historical 50-state indices of innovation capacity and commercialization capacity[J].Economic Development Quarterly,2007,20(2):107.
[10] 张华,张庆林.企业家创新意识与企业创新潜力研究[J].科技进步与对策,2011,28(14):87-92.
[11] 肖挺.地区贫困、创新潜力与经济增长——基于中国省级面板数据的分析[J].财经研究,2016(2):16-26.
[12] GRILICHES Z.Issues in assessing the contribution of research and development to productivity growth[J].Bell Journal of Economics,1979,10(1):92-116.
[13] JAFFE A B.Real effects of academic research[J].American Economic Review,1989,79(5):957-970.
[14] 李习保.中国区域创新能力变迁的实证分析:基于创新系统的观点[J].管理世界,2007(12):18-30.
[15] BATTESE G E,COELLI T J.Frontier production functions,technical efficiency and panel data:with application to paddy farmers in india[J].Journal of Productivity Analysis,1992,3(1/2):153-169.
[16] 黄静波,孙晓琴.技术创新与出口:理论与实证研究的发展[J].国际贸易问题,2007(9):124-128.
[17] 罗军,陈建国.研发投入门槛、外商直接投资与中国创新能力——基于门槛效应的检验[J].国际贸易问题,2014(8):135-146.
[18] 贾佳.财政支持、税收优惠对工业企业技术创新绩效的影响和优化路径[J].工业技术经济,2017,36(11):133-138.
[19] 倪鹏飞,白晶,杨旭.城市创新系统的关键因素及其影响机制——基于全球436个城市数据的结构化方程模型[J].中国工业经济,2011(2):16-25.
[20] 李大为,刘英基,杜传忠.产业集群的技术创新机理及实现路径——兼论理解“两个熊彼特”悖论的新视角[J].科学学与科学技术管理,2011,32(1):98-103.
[21] 张宗和,彭昌奇.区域技术创新能力影响因素的实证分析——基于全国30个省市区的面板数据[J].中国工业经济,2009(11):35-44.
[22] 陈庆江,李启航.社会研发资本积累提高了企业技术创新效率吗[J].产业经济研究,2017(1):62-75.
[23] 原毅军,谢荣辉.产业集聚、技术创新与环境污染的内在联系[J].科学学研究,2015,33(9):1340-1347.