中国装备制造业集聚对绿色创新效率的影响效应研究
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摘要
根据2005-2015年省级面板数据,采用空间基尼系数估算全国装备制造业集聚水平;采用考虑非期望产出的Super-SBM模型测度全国装备制造业绿色创新效率;采用空间计量分析方法,构建门槛面板模型,实证检验装备制造业集聚对绿色创新效率的影响效应。结果表明:全国装备制造业绿色创新效率总体呈先升后降趋势,但地区差异明显;装备制造业集聚对绿色创新效率的影响呈显著的N型关系,具有双重门槛效应;东部、东北地区装备制造业集聚对绿色创新效率呈递增的正向非线性影响,中部地区装备制造业集聚对绿色创新效率的影响呈先降后升态势,西部地区装备制造业集聚对绿色创新效率的影响呈倒N型关系;研发投入强度、能源消耗与装备制造业绿色创新效率显著正相关,城市化水平、环境规制与装备制造业绿色创新效率显著负相关。提高装备制造业发展质量,应增加研发投入,增强自主创新能力,促进装备制造业集聚化、绿色化发展。
Based on the provincial panel data from 2005 to 2015,the article measured the agglomeration level of China's equipment manufacturing industry in the spatial GINI coefficient,while the green innovation efficiency of China's equipment manufacturing industry was measured by the Super-SBM model with non-expectation output.The effect of agglomeration on green innovation efficiency was empirically tested by using the spatial econometric analysis method and the construction threshold model.The results show that there are regional differences in the green innovation efficiency of equipment manufacturing industry,which is measured by Super-SBM model.The influence of equipment manufacturing agglomeration on green innovation efficiency has a significant N-type relationship with double threshold effect.The effect of equipment manufacturing industry cluster on the green innovation efficiency presents an increasing positive nonlinear effect in the east and the northeast region,the equipment manufacturing industry agglomeration in central China on the green innovation efficiency declines first,and then grows,the influence of equipment manufacturing industry agglomeration in the western region restricts the green innovation efficiency,showing the inverted N type relationship.The research and development investment intensity and energy consumption are positively correlated with the green innovation efficiency of equipment manufacturing industry.The urbanization level,environmental regulation and the green innovation efficiency of equipment manufacturing industry are significantly negatively correlated.To improve the development quality of equipment manufacturing,we must enhance R&D investment and independent innovation capability,as well as promote the agglomeration and greening development of equipment manufacturing industry.
Based on the provincial panel data from 2005 to 2015,the article measured the agglomeration level of China's equipment manufacturing industry in the spatial GINI coefficient,while the green innovation efficiency of China's equipment manufacturing industry was measured by the Super-SBM model with non-expectation output.The effect of agglomeration on green innovation efficiency was empirically tested by using the spatial econometric analysis method and the construction threshold model.The results show that there are regional differences in the green innovation efficiency of equipment manufacturing industry,which is measured by Super-SBM model.The influence of equipment manufacturing agglomeration on green innovation efficiency has a significant N-type relationship with double threshold effect.The effect of equipment manufacturing industry cluster on the green innovation efficiency presents an increasing positive nonlinear effect in the east and the northeast region,the equipment manufacturing industry agglomeration in central China on the green innovation efficiency declines first,and then grows,the influence of equipment manufacturing industry agglomeration in the western region restricts the green innovation efficiency,showing the inverted N type relationship.The research and development investment intensity and energy consumption are positively correlated with the green innovation efficiency of equipment manufacturing industry.The urbanization level,environmental regulation and the green innovation efficiency of equipment manufacturing industry are significantly negatively correlated.To improve the development quality of equipment manufacturing,we must enhance R&D investment and independent innovation capability,as well as promote the agglomeration and greening development of equipment manufacturing industry.
引文
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[12] 刘亮,蒋伏心,王钺.产业集聚对绿色创新的影响——抑制还是激励?[J].科技管理研究,2017(6):235-242.
[13] 杨朝均,呼若青.我国工业绿色创新系统协同演进规律研究——二象对偶理论视角[J].科技进步与对策,2017,34(12):49-54.
[14] 任耀,牛冲槐,牛彤,等.绿色创新效率的理论模型与实证研究[J].管理世界,2014(7):176-177.
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[16] CHUNG YH,FARE R,GROSSKOPF S.Productivity and undesirable outputs: a directional distance function approach[J].Journal of Environmental Management,1997,51(3):229-240.
[17] TONE K,TSUTSUI M.Dynamic DEA: a slacks-based measure approach[J].Omega,2010,38(3-4):145-156.
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[19] 韩晶,宋涛,陈超凡,等.基于绿色增长的中国区域创新效率研究[J].经济社会体制比较,2013(3):100-110.
[20] 吴传清,张雅晴.环境规制对长江经济带工业绿色生产率的门槛效应[J].科技进步与对策,2018,35(8):46-51.
[21] 赫连志巍,王岚.产业集群创新网络中创新能力传递障碍与集群升级研究[J].科技进步与对策,2018,35(3):60-66.
[22] KRUGMAN P.Increasing returns and economics geography[J].Journal of Political Economy,1991,99(3):483-499.
[23] KATZ M.An analysis of cooperative research and development[J].RAND Journal of Economics,1986,17(4): 527-543.
[24] 张晓月,陈鹏龙,赵顺龙.产业集聚对创新活力的影响:专利密集型与非专利密集型产业比较[J].科技进步与对策,2018,35(10):66-71.
[25] 程中华,李廉水,刘军.产业集聚有利于能源效率提升吗[J].统计与信息论坛,2017(3):70-76.
[26] 王磊,王琰琰,李慧明.再生资源产业集聚与区域环境污染——来自我国省域面板数据的实证分析[J].科技进步与对策,2018,35(13):72-77.
[27] LI H,SHI J.Energy efficiency analysis on Chinese industrial sectors: an improved Super-SBM model with undesirable outputs[J].Journal of Cleaner Production,2014,65:97-107.
[28] 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.
[29] 屈小娥.中国工业行业环境技术效率研究[J].经济学家,2014(7):55-65.
[30] 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(4):41-55.
[31] KRUGMAN P,ELIZONDO R L.Trade policy and the Third World metropolis[J].Nber Working Papers,1996,49(1):137-150.
[2] 范剑勇,冯猛,李方文.产业集聚与企业全要素生产率[J].世界经济,2014(5):51-73.
[3] 朱金鹤,王雅莉.创新补偿抑或遵循成本? 污染光环抑或污染天堂?——绿色全要素生产率视角下双假说的门槛效应与空间溢出效应检验[J].科技进步与对策,2018,35(20):46-54.
[4] 陈杰,周倩.中国城市规模和产业结构对城市劳动生产率的协同效应研究[J].财经研究,2016(9):75-86.
[5] 惠炜,韩先锋.生产性服务业集聚促进了地区劳动生产率吗?[J].数量经济技术经济研究,2016(10):37-56.
[6] 张清华,郭淑芬,黄志建.产业集聚对工业行业技术创新效率的影响测度研究[J].科学管理研究,2016(3):60-63.
[7] 谢子远,吴丽娟.产业集聚水平与中国工业企业创新效率——基于20个工业行业2000-2012年面板数据的实证研究[J].科研管理,2017(1):91-99.
[8] 李伟娜.产业集聚、环境效率与雾霾治理——以美国制造业为例[J].现代管理科学,2016(1):85-87.
[9] 熊欢欢,邓文涛.环境规制、产业集聚与能源效率关系的实证分析[J].统计与决策,2017(21):117-121.
[10] 王惠,苗壮,王树乔.空间溢出、产业集聚效应与工业绿色创新效率[J].中国科技论坛,2015(12):33-38.
[11] 刘耀彬,袁华锡,王喆.文化产业集聚对绿色经济效率的影响——基于动态面板模型的实证分析[J].资源科学,2017(4):747-755.
[12] 刘亮,蒋伏心,王钺.产业集聚对绿色创新的影响——抑制还是激励?[J].科技管理研究,2017(6):235-242.
[13] 杨朝均,呼若青.我国工业绿色创新系统协同演进规律研究——二象对偶理论视角[J].科技进步与对策,2017,34(12):49-54.
[14] 任耀,牛冲槐,牛彤,等.绿色创新效率的理论模型与实证研究[J].管理世界,2014(7):176-177.
[15] RAMANATHAN R.An analysis of energy consumption and carbon dioxide emissions in countries of the Middle East and North Africa[J].Energy,2005,21(2):322-334.
[16] CHUNG YH,FARE R,GROSSKOPF S.Productivity and undesirable outputs: a directional distance function approach[J].Journal of Environmental Management,1997,51(3):229-240.
[17] TONE K,TSUTSUI M.Dynamic DEA: a slacks-based measure approach[J].Omega,2010,38(3-4):145-156.
[18] 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.
[19] 韩晶,宋涛,陈超凡,等.基于绿色增长的中国区域创新效率研究[J].经济社会体制比较,2013(3):100-110.
[20] 吴传清,张雅晴.环境规制对长江经济带工业绿色生产率的门槛效应[J].科技进步与对策,2018,35(8):46-51.
[21] 赫连志巍,王岚.产业集群创新网络中创新能力传递障碍与集群升级研究[J].科技进步与对策,2018,35(3):60-66.
[22] KRUGMAN P.Increasing returns and economics geography[J].Journal of Political Economy,1991,99(3):483-499.
[23] KATZ M.An analysis of cooperative research and development[J].RAND Journal of Economics,1986,17(4): 527-543.
[24] 张晓月,陈鹏龙,赵顺龙.产业集聚对创新活力的影响:专利密集型与非专利密集型产业比较[J].科技进步与对策,2018,35(10):66-71.
[25] 程中华,李廉水,刘军.产业集聚有利于能源效率提升吗[J].统计与信息论坛,2017(3):70-76.
[26] 王磊,王琰琰,李慧明.再生资源产业集聚与区域环境污染——来自我国省域面板数据的实证分析[J].科技进步与对策,2018,35(13):72-77.
[27] LI H,SHI J.Energy efficiency analysis on Chinese industrial sectors: an improved Super-SBM model with undesirable outputs[J].Journal of Cleaner Production,2014,65:97-107.
[28] 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.
[29] 屈小娥.中国工业行业环境技术效率研究[J].经济学家,2014(7):55-65.
[30] 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(4):41-55.
[31] KRUGMAN P,ELIZONDO R L.Trade policy and the Third World metropolis[J].Nber Working Papers,1996,49(1):137-150.