相邻区域环境规制促进或抑制当地技术创新投入?——基于技术溢出与污染溢出角度
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摘要
该文从环境规制的技术溢出效应与污染溢出效应2个角度,分析相邻区域环境规制对当地技术创新投入的影响,研究在这2种效应强弱对比发生变化的情况下,相邻区域环境规制溢出影响的异质性.在此基础上采用2003—2015年长三角地区26个主要城市数据,使用EBM模型测度绿色创新效率,利用中介效应检验程序与空间面板杜宾模型对理论分析结论进行实证检验.结果表明:相邻区域环境规制强度提升会促进当地绿色创新效率的增加;在施行环境规制政策的前期,相邻区域环境规制强度提升会造成当地技术创新投入减少;在施行环境规制政策一段时间后,相邻区域环境规制强度提升会造成当地技术创新投入增加.
From the two perspectives of technology spillover effect and pollution spillover effect of environmental regulations,the spillover effect of the adjacent regions' environmental regulation on the local technology innovation input is explored through theoretical research,and a mathematical model is established to analyze the heteroskedasticity of adjacent regions' environmental regulation spillover effect when the intensity contrast between these two spillover effects changes. On this basis,the data from 2003 to 2015 of 26 major cities in Yangtze River Delta region is adopted,and the EBM model is used to measure the green innovation efficiency,and an empirical test of the theoretical research process and results is made by mediating effect test routine and Spatial Durbin panel Model. Results show that the increase in intensity of adjacent regions' environmental regulation improves the local green innovation efficiency. At the early stage of environmental regulation policies implementation,the increase in intensity of adjacent regions' environmental regulation reduces the local technology innovation investment. While after a period of time,the increase in intensity of adjacent regions' environmental regulation promotes the local technology innovation investment.
From the two perspectives of technology spillover effect and pollution spillover effect of environmental regulations,the spillover effect of the adjacent regions' environmental regulation on the local technology innovation input is explored through theoretical research,and a mathematical model is established to analyze the heteroskedasticity of adjacent regions' environmental regulation spillover effect when the intensity contrast between these two spillover effects changes. On this basis,the data from 2003 to 2015 of 26 major cities in Yangtze River Delta region is adopted,and the EBM model is used to measure the green innovation efficiency,and an empirical test of the theoretical research process and results is made by mediating effect test routine and Spatial Durbin panel Model. Results show that the increase in intensity of adjacent regions' environmental regulation improves the local green innovation efficiency. At the early stage of environmental regulation policies implementation,the increase in intensity of adjacent regions' environmental regulation reduces the local technology innovation investment. While after a period of time,the increase in intensity of adjacent regions' environmental regulation promotes the local technology innovation investment.
引文
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[2]孔晓妮,邓峰.中国各省区绿色创新效率评价及其提升路径研究:基于影响因素的分析[J].新疆大学学报:哲学·人文社会科学版,2015,43(4):14-18.
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[16]钟茂初,李梦洁,杜威剑.环境规制能否倒逼产业结构调整:基于中国省际面板数据的实证检验[J].中国人口·资源与环境,2015,25(8):107-115.
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[20]范承泽,胡一帆,郑红亮.FDI对国内企业技术创新影响的理论与实证研究[J].经济研究,2008(1):89-102.
[21]王鹏,谢丽文.污染治理投资、企业技术创新与污染治理效率[J].中国人口·资源与环境,2014,24(9):51-58.
[22]Kemfert C.Induced technological change in a multi-regional,multi-sectoral,integrated assessment model(WIA-GEM):impact assessment of climate policy strategies[J].Ecological Economies,2005,54(2/3):293-305.
[23]徐志伟.工业经济发展、环境规制强度与污染减排效果:基于“先污染,后治理”发展模式的理论分析与实证检验[J].财经研究,2016,42(3):134-144.
[24]原毅军,谢荣辉.环境规制的产业结构调整效应研究:基于中国省际面板数据的实证检验[J].中国工业经济,2014(8):57-69.
[25]温忠麟.张雷,侯杰泰,等.中介效应检验程序及其应用[J].心理学报,2004,36(5):614-620.
[26]Baron R M,Kenny D A.The moderator-mediator variable distinction in social psychological research:conceptual,strategic,and statistical considerations[J].Journal of Personality and Social Psychology,1986,51(6):1173-1182.
[27]Judd C M,Kenny D A.Process analysis:estimating mediation in treatment evaluations[J].Evaluation Review,1981,5(5):602-619.
[28]Elhorst J P,Fréret S.Evidence of political yardstick competition in France using a two-regime spatial Durbin model with fixed effects[J].Journal of Regional Science,2009,49(5):931-951.
[29]Tone K,Tsutsui M.An epsilon-based measure of efficiency in DEA:a third pole of technical efficiency[J].European Journal of Operational Research,2010,207(3):1554-1563.
[30]Case A C,Rosen H S,Hines J R.Budget spillovers and fiscal policy interdependence:evidence from the states[J].Journal of Public Economics,1993,52(3):285-307.
[31]张征宇,朱平芳.地方环境支出的实证研究[J].经济研究,2010,45(5):82-94.
[2]孔晓妮,邓峰.中国各省区绿色创新效率评价及其提升路径研究:基于影响因素的分析[J].新疆大学学报:哲学·人文社会科学版,2015,43(4):14-18.
[3]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.
[4]Horbach J.Determinants of environmental innovation:new evidence from German panel data sources[J].Research Policy,2008,37(1):163-173.
[5]Lee Chengwen.The effect of environmental regulation on green technology innovation through supply chain integration[J].International Journal of Sustainable Economy,2010,2(1):92-112.
[6]肖黎明,高军峰,韩彬.中国省际绿色创新效率的空间溢出效应:同质性和异质性检验[J].工业技术经济,2018,37(4):30-38.
[7]何兴邦.环境规制、政治关联和企业研发投入:基于民营上市企业的实证研究[J].软科学,2017,31(10):43-46,51.
[8]Hamamoto M.Environmental regulation and the productivity of Japanese manufacturing industries[J].Resource and Energy Economics,2006,28(4):299-312.
[9]袁宝龙.制度与技术双“解锁”是否驱动了中国制造业绿色发展?[J].中国人口·资源与环境,2018,28(3):117-127.
[10]王文普,印梅.空间溢出、环境规制与技术创新[J].财经论丛,2015(12):92-99.
[11]Maddison D.Modeling sulphur emissions in Europe:a spatial econometric approach[J].Oxford Economic Paper,2007,59(4):726-743.
[12]白俊红,聂亮.环境分权是否真的加剧了雾霾污染?[J].中国人口·资源与环境,2017,27(12):59-69.
[13]钱争鸣,刘晓晨.环境管制、产业结构调整与地区经济发展[J].经济学家,2014(7):73-81.
[14]吴伟平,何乔.“倒逼”抑或“倒退”?:环境规制减排效应的门槛特征与空间溢出[J].经济地理,2017,39(2):20-34.
[15]曹霞,于娟.绿色低碳视角下中国区域创新效率研究[J].中国人口·资源与环境,2015,25(5):10-19.
[16]钟茂初,李梦洁,杜威剑.环境规制能否倒逼产业结构调整:基于中国省际面板数据的实证检验[J].中国人口·资源与环境,2015,25(8):107-115.
[17]Becker R,Henderson V.Effects of air quality regulation on in polluting industries[J].Population Studies,1997,31(1):43-57.
[18]Blomstr9m M,Persson H.Foreign investment and spillover efficiency in an underdeveloped economy:evidence from the Mexican manufacturing industry[J].World Development,1983,11(6):493-501.
[19]关爱萍,陈超.区际产业转移对承接地行业内技术溢出效应的联动研究:以甘肃省为例[J].软科学,2015,29(1):87-91.
[20]范承泽,胡一帆,郑红亮.FDI对国内企业技术创新影响的理论与实证研究[J].经济研究,2008(1):89-102.
[21]王鹏,谢丽文.污染治理投资、企业技术创新与污染治理效率[J].中国人口·资源与环境,2014,24(9):51-58.
[22]Kemfert C.Induced technological change in a multi-regional,multi-sectoral,integrated assessment model(WIA-GEM):impact assessment of climate policy strategies[J].Ecological Economies,2005,54(2/3):293-305.
[23]徐志伟.工业经济发展、环境规制强度与污染减排效果:基于“先污染,后治理”发展模式的理论分析与实证检验[J].财经研究,2016,42(3):134-144.
[24]原毅军,谢荣辉.环境规制的产业结构调整效应研究:基于中国省际面板数据的实证检验[J].中国工业经济,2014(8):57-69.
[25]温忠麟.张雷,侯杰泰,等.中介效应检验程序及其应用[J].心理学报,2004,36(5):614-620.
[26]Baron R M,Kenny D A.The moderator-mediator variable distinction in social psychological research:conceptual,strategic,and statistical considerations[J].Journal of Personality and Social Psychology,1986,51(6):1173-1182.
[27]Judd C M,Kenny D A.Process analysis:estimating mediation in treatment evaluations[J].Evaluation Review,1981,5(5):602-619.
[28]Elhorst J P,Fréret S.Evidence of political yardstick competition in France using a two-regime spatial Durbin model with fixed effects[J].Journal of Regional Science,2009,49(5):931-951.
[29]Tone K,Tsutsui M.An epsilon-based measure of efficiency in DEA:a third pole of technical efficiency[J].European Journal of Operational Research,2010,207(3):1554-1563.
[30]Case A C,Rosen H S,Hines J R.Budget spillovers and fiscal policy interdependence:evidence from the states[J].Journal of Public Economics,1993,52(3):285-307.
[31]张征宇,朱平芳.地方环境支出的实证研究[J].经济研究,2010,45(5):82-94.