创新质量对绿色全要素生产率影响的异质性研究——环境规制的动态门槛效应
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摘要
运用SBM方向性距离函数测算中国内地30个省份2006-2016年的绿色全要素生产率,构建以环境规制为门槛变量的动态面板门槛模型,实证检验创新质量对绿色全要素生产率的非线性影响。结果发现:非期望产出约束下绿色全要素生产率整体较低,区域空间差异较大;创新质量对绿色全要素生产率的影响存在受环境规制作用的门槛效应。进一步分组研究表明,环境规制门槛效应和创新质量对绿色全要素生产率的影响均存在空间异质性,东部地区环境规制门槛值低于全国其它地区,但创新质量对绿色全要素生产率的正向促进作用最大。东部地区省份可以制定更为严格的环境规制措施,以充分发挥创新驱动效应;中西部地区则应积极探索除创新驱动外的其它因素,促进绿色全要素生产率提升。
This paper applies SBM directional distance function to measure green total factor productivity(GTFP) growth for Chinese 30 Provinces over the period 2006 to 2016. We also build a dynamic panel threshold model with environmental regulation as threshold variable, and then we empirically examine the nonlinear relationship between innovation quality and GTFP growth. The results show that China's GTFP growth is generally low and has significant differences under the constraint of undesired output. There's a threshold effects between innovation quality and GTFP growth. Further grouping studies show that the impact of threshold effects and innovation quality on GTFP growth are heterogeneity. In eastern the threshold value is higher than other regions, but the effect of innovation quality and GTFP growth is bigger. To improve the GTFP growth we could enact more stringent environmental regulation measures in the eastern China, and the other regions should explore other factors besides innovation to improve the GTFP growth.
This paper applies SBM directional distance function to measure green total factor productivity(GTFP) growth for Chinese 30 Provinces over the period 2006 to 2016. We also build a dynamic panel threshold model with environmental regulation as threshold variable, and then we empirically examine the nonlinear relationship between innovation quality and GTFP growth. The results show that China's GTFP growth is generally low and has significant differences under the constraint of undesired output. There's a threshold effects between innovation quality and GTFP growth. Further grouping studies show that the impact of threshold effects and innovation quality on GTFP growth are heterogeneity. In eastern the threshold value is higher than other regions, but the effect of innovation quality and GTFP growth is bigger. To improve the GTFP growth we could enact more stringent environmental regulation measures in the eastern China, and the other regions should explore other factors besides innovation to improve the GTFP growth.
引文
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[21] 葛鹏飞,黄秀路,韩先锋.创新驱动与“一带一路”绿色全要素生产率提升——基于新经济增长模型的异质性创新分析[J].经济科学,2018(1):37-51.
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[24] 张古鹏,陈向东,杜华东.中国区域创新质量不平等研究[J].科学学研究,2011,29(11):1709-1719.
[25] 侯建,陈恒.自主研发、技术转移方式与区域创新质量[J].中国科技论坛,2016(11):89-95.
[26] 张杰,郑文平.创新追赶战略抑制了中国专利质量么[J].经济研究,2018,53(5):28-41.
[27] PO-HSUAN HSU, XUAN TIAN, YAN XU. Financial development and innovation: cross-country evidence[J]. Journal of Financial Economics,2014,112(1).
[28] 吴菲菲,张广安,张辉,等.专利质量综合评价指数——以我国生物医药行业为例[J].科技进步与对策,2014,31(13):124-129.
[29] AGHION P, AKCIGIT U, BERGEAUD A, et al. Innovation and top income inequality[J]. The Review of Economic Studies, 2015.
[30] AKCIGIT U, BASLANDZE S, STANTCHEVA S. Taxation and the international mobility of inventors[J]. American Economic Review, 2016, 106(10): 2930-81.
[31] CHAMBER R G, R FARE, et al. Productivity growth in APEC countries[J]. Pacific Economic Review, 1996,1:181-190.
[32] 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,2010,45(5):95-109.
[33] 陈诗一.能源消耗、二氧化碳排放与中国工业的可持续发展[J].经济研究,2009,44(4):41-55.
[34] HANSEN B. Threshold effect in non-dynamic panels: estimation, testing and inference[J]. Journal of Ecnometrics, 1999,93(2): 345-368.
[35] 陈超凡.中国工业绿色全要素生产率及其影响因素——基于ML生产率指数及动态面板模型的实证研究[J].统计研究,2016,33(3):53-62.
[36] 宋马林,王舒鸿.环境规制、技术进步与经济增长[J].经济研究,2013,48(3):122-134.
[37] 沈坤荣,金刚,方娴.环境规制引起了污染就近转移吗[J].经济研究,2017,52(5):44-59.
[38] 张成,陆旸,郭路,等.环境规制强度和生产技术进步[J].经济研究,2011,46(2):113-124.
[39] 刘家悦,谢靖.环境规制与制造业出口质量升级——基于要素投入结构异质性的视角[J].中国人口·资源与环境,2018,28(2):158-167.
[40] ARELLANO M, O BOVER. Another look at the instrumental variables estimation of error-components models [J]. Journal of Econometrics,1995,68:29-51.
[41] VLADIMIR ARCABIC, JOSIP TICA, JUNSOO LEE,et al. Public debt and economic growth conundrum: nonlinearity and Inter-temporal Relationship[J]. Studies in Nonlinear Dynamics & Econometrics, 2018,2:1-20.
[42] 陈友芳.生产要素禀赋与发展中国家的生产技术选择[J].亚太经济,2009(2):39-42.
[2] 刘督,万迪昉,吴祖光.我国创业板市场能够识别创新质量吗[J].科研管理,2016,37(12):46-54.
[3] 洪银兴.论创新驱动经济发展战略[J].经济学家,2013(1):5-11.
[4] 侯鹏,刘思明,建兰宁.创新环境对中国区域创新能力的影响及地区差异研究[J].经济问题探索,2014(11):73-80.
[5] PORTER, M AND S,STERN. National innovative gapacity [J]. Research Policy, 2002,31(6):899-933.
[6] GANS J,HAYES R. Measuring innovative performance-essential for effective innovation policy and economic growth[J]. Melbourne Review: A Journal of Business and Public Policy, 2006,2(1):70-82.
[7] 贾俊雪.公共基础设施投资与全要素生产率:基于异质企业家模型的理论分析[J].经济研究,2017,52(2):4-19.
[8] 刘秉镰,武鹏,刘玉海.交通基础设施与中国全要素生产率增长——基于省域数据的空间面板计量分析[J].中国工业经济,2010(3):54-64.
[9] 郭国峰,温军伟,孙保营.技术创新能力的影响因素分析——基于中部六省面板数据的实证研究[J].数量经济技术经济研究,2007(9):134-143.
[10] 潘士远.最优专利制度、技术进步方向与工资不平等[J].经济研究,2008(1):127-136.
[11] 罗德明,周嫣然,史晋川.南北技术转移、专利保护与经济增长[J].经济研究,2015,50(6):46-58.
[12] 余明桂,回雅甫,潘红波.政治联系、寻租与地方政府财政补贴有效性[J].经济研究,2010,45(3):65-77.
[13] NAOTAKA S. Techology gap matters on spillover [J]. Review of Development Economics, 2010,14(1):103-120.
[14] CHRISTOPHE FEDER. The effects of disruptive innovations on productivity[J] Technological Forecasting & Social Change 2018,126: 186-193.
[15] PITTMAN R W. Multilateral productivity comparisons with undesirable outputs[J]. The Economic Journal, 1983, 93(372): 883-891.
[16] FARE R,S GROSSKOPF, et al. Environmental production functions and environmental directional distance function [J]. Energy,2007,32:1055-1066.
[17] FUKUYAMA H, WILLIAM L, WEBER. A directional slacks-based measure of technical inefficiency[J]. Socio-Economic Planning Sciences, 2009,43(11):274-287.
[18] LING LING GUO, YING QU, MING-LANG TSENG. The interaction effects of environmental regulation and technological innovation on regional green growth performance[J]. Journal of Cleaner Production,2017,162:894-902.
[19] 师博,姚峰,李辉.创新投入、市场竞争与制造业绿色全要素生产率[J].人文杂志,2018(1):26-36.
[20] 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.
[21] 葛鹏飞,黄秀路,韩先锋.创新驱动与“一带一路”绿色全要素生产率提升——基于新经济增长模型的异质性创新分析[J].经济科学,2018(1):37-51.
[22] UDO-ERNST HANER. Innovation quality—a conceptual framework [J]. International Journal of Production Economics, 2002, 80(1):31-37.
[23] 李向东,李南,白俊红,等.高技术产业研发创新效率分析[J].中国软科学,2011(2):52-61.
[24] 张古鹏,陈向东,杜华东.中国区域创新质量不平等研究[J].科学学研究,2011,29(11):1709-1719.
[25] 侯建,陈恒.自主研发、技术转移方式与区域创新质量[J].中国科技论坛,2016(11):89-95.
[26] 张杰,郑文平.创新追赶战略抑制了中国专利质量么[J].经济研究,2018,53(5):28-41.
[27] PO-HSUAN HSU, XUAN TIAN, YAN XU. Financial development and innovation: cross-country evidence[J]. Journal of Financial Economics,2014,112(1).
[28] 吴菲菲,张广安,张辉,等.专利质量综合评价指数——以我国生物医药行业为例[J].科技进步与对策,2014,31(13):124-129.
[29] AGHION P, AKCIGIT U, BERGEAUD A, et al. Innovation and top income inequality[J]. The Review of Economic Studies, 2015.
[30] AKCIGIT U, BASLANDZE S, STANTCHEVA S. Taxation and the international mobility of inventors[J]. American Economic Review, 2016, 106(10): 2930-81.
[31] CHAMBER R G, R FARE, et al. Productivity growth in APEC countries[J]. Pacific Economic Review, 1996,1:181-190.
[32] 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,2010,45(5):95-109.
[33] 陈诗一.能源消耗、二氧化碳排放与中国工业的可持续发展[J].经济研究,2009,44(4):41-55.
[34] HANSEN B. Threshold effect in non-dynamic panels: estimation, testing and inference[J]. Journal of Ecnometrics, 1999,93(2): 345-368.
[35] 陈超凡.中国工业绿色全要素生产率及其影响因素——基于ML生产率指数及动态面板模型的实证研究[J].统计研究,2016,33(3):53-62.
[36] 宋马林,王舒鸿.环境规制、技术进步与经济增长[J].经济研究,2013,48(3):122-134.
[37] 沈坤荣,金刚,方娴.环境规制引起了污染就近转移吗[J].经济研究,2017,52(5):44-59.
[38] 张成,陆旸,郭路,等.环境规制强度和生产技术进步[J].经济研究,2011,46(2):113-124.
[39] 刘家悦,谢靖.环境规制与制造业出口质量升级——基于要素投入结构异质性的视角[J].中国人口·资源与环境,2018,28(2):158-167.
[40] ARELLANO M, O BOVER. Another look at the instrumental variables estimation of error-components models [J]. Journal of Econometrics,1995,68:29-51.
[41] VLADIMIR ARCABIC, JOSIP TICA, JUNSOO LEE,et al. Public debt and economic growth conundrum: nonlinearity and Inter-temporal Relationship[J]. Studies in Nonlinear Dynamics & Econometrics, 2018,2:1-20.
[42] 陈友芳.生产要素禀赋与发展中国家的生产技术选择[J].亚太经济,2009(2):39-42.