动态内生视角下能源消费碳排放与绿色创新效率的机理研究——基于中国装备制造业的实证分析

摘要/Abstract

摘要：

基于规模以上中国装备制造企业2008—2013年的面板数据，采用包含非期望产出的超效率SBM模型测算行业绿色创新效率，从动态内生视角构建了PVAR模型，通过脉冲响应函数以及方差分解方法，实证分析了能源消费碳排放与绿色创新效率的关联性。结果表明：样本期间中国制造业绿色创新效率均值为0.983，尚有提升空间；天然气、煤炭、原油碳排放与绿色创新效率存在长期的协整关系；煤炭消费碳排放滞后项对绿色创新效率及绿色创新效率滞后项对原油、煤炭消费碳排放的影响不显著；长期内天然气碳排放对绿色创新效率是负向影响，煤炭和原油碳排放对绿色创新效率则是正向影响；短期内绿色创新效率抑制原油碳排放，促进煤炭、天然气碳排放。

关键词: 碳排放, 绿色创新效率, 超效率SBM模型, PVAR模型

Abstract:

This paper analyzes the green innovation efficiency of Chinese equipment manufacturing industries by SBM Super-efficiency Model with panel data. The PVAR model is constructed from the dynamic endogenous perspective and the relationship between carbon emissions from energy consumption and green innovation efficiency is analyzed empirically by the impulse response function and variance decomposition method. The research shows that:the average efficiency of green innovation is 0.983 during the sample period, and there is room for improvement. Long term co-integration relationship exists between carbon emissions of natural gas, coal, crude oil and green innovation efficiency. There is no significant interaction between coal carbon emissions and green innovation efficiency. Carbon emissions from natural gas have negative effects on green innovation efficiency, and carbon emissions from coal and crude oil have positive effects on green innovation efficiency in long term. Green innovation efficiency suppresses carbon emissions from crude oil, but promotes carbon emissions from coal and natural gas in short term.

Key words: carbon emission, green innovation efficiency, super efficiency SBM, PVAR model

徐建中, 王曼曼, 贯君. 动态内生视角下能源消费碳排放与绿色创新效率的机理研究——基于中国装备制造业的实证分析[J]. , 2019, 31(9): 81-93.

Xu Jianzhong, Wang Manman, Guan Jun. Research on Mechanism of Carbon Emission from Energy Consumption and Green Innovation Efficiency in Dynamic Endogenous Perspective Based on Chinese Equipment Manufacturing Industries[J]. , 2019, 31(9): 81-93.

参考文献

[1] 金春雨,韩哲,张浩博.基于Panel-VAR模型的我国金融业发展与经济增长关联性的计量检验[J].管理评论, 2013,25(1):16-23
[2] 孙涛,赵天燕.我国能源消耗碳排放量测度及其趋势研究[J].审计与经济研究, 2014,29(2):104-111
[3] 刘清春,孔令群,安泽扬.中国制造业能源相关的碳排放因素分析[J].中国人口·资源与环境, 2014,165(S2):14-18
[4] Kemp R., Arundel A. Survey Indicators for Environmental Innovation[R]. Indicators and Data for European Analysis, 1998
[5] IPCC.气候变化2007:自然科学基础[R]. IPCC《第四次评估报告》, 2007
[6] 胡彩梅,韦福雷,吴莹辉,等.中国能源产业技术创新效率对碳排放的影响研究[J].资源开发与市场, 2014,30(3):300-304
[7] Chen Y. S., Lai S. B., Wen C. T. The Influence of Green Innovation Performance on Corporate Advantage in Taiwan[J]. Journal of Business Ethics, 2006,67(4):331-339
[8] Chen Y. S. The Driver of Green Innovation and Green Image-green Core Competence[J]. Business Ethics, 2008,81(3):531-543
[9] Ramanathan R. An Analysis of Energy Consumption and Carbon Dioxide Emissions in Countries of the Middle East and North Africa[J]. Energy, 2005,30(15):2831-2842
[10] Mohtadi H. Environment, Growth and Optimal Policy Design[J]. Journal of Public Economics, 1996,63(1):119-140
[11] Lu X. D., Pan J. H., Chen Y. Sustaining Economic Growth in China under Energy and Climate Security Constraints[J]. China and World Economy, 2006,14(6):85-97
[12] 姚西龙,王文熹,刘佳.我国装备制造业技术创新的绿色绩效研究[J].科技和产业, 2015,15(1):81-84
[13] Sueyoshi T., Goto M. DEA Approach for Unified Efficiency Measurement:Assessment of Japanese Fossil Fuel Power Generation[J]. Energy Economics, 2011,33(2):292-303
[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] 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, 2016,26(9):149-157
[16] 付帼,卢小丽,武春友.中国省域绿色创新空间格局演化研究[J].中国软科学, 2016,(7):89-99
[17] 苗成林,孙丽艳,杨力.能源消耗与碳排量约束下区域技术效率研究[J].科研管理, 2016,37(2):1-8
[18] 殷宝庆.进口中间品碳排放、环境规制与本土企业的技术创新[J].学术论坛, 2012,35(3):125-129
[19] Jung C., Krutilla K., Boyd R. Incentives for Advanced Pollution Abatement Technology at the Industry Level:An Evaluation of Policy Alternatives[J]. Journal of Environmental Economics&Management, 1996,30(1):95-111
[20] 刘晔,张训常.碳排放交易制度与企业研发创新-基于三重差分模型的实证研究[J].经济科学, 2017,5(3):102-114
[21] 韩坚,盛培宏.产业结构、技术创新与碳排放实证研究——基于我国东部15个省(市)面板数据[J].上海经济研究, 2014,(8):67-74
[22] 王怡.中国环境规制、技术创新与碳排放量的实证研究——基于协整检验和Granger因果分析[J].工业技术经济, 2012,31(6):137-144
[23] 李志学,徐程程,张民刚.我国能源消费强度、结构及技术创新与碳排放——基于面板数据模型的实证分析[J].会计之友, 2013,(9):53-57
[24] Honjo K. R&D for Technology to Solve Global Warming[J]. Journal of Materials Processing Technology, 1996,59(3):218-220
[25] Apergis N., Eleftheriou S., Payne J. E. The Relationship between International Financial Reporting Standards, Carbon Emissions, and R&D Expenditures:Evidence from European Manufacturing Firms[J]. Ecological Economics, 2013,88(4):57-66
[26] Eggleston S. Estimation of Emissions from CO2 Capture and Storage:The 2006 IPCC Guidelines for National Greenhouse Gas Inventories[R]. Prepared by the National Greenhouse Gas Inventories Program, 2006
[27] 肖仁桥,王宗军,钱丽.环境约束下中国省际工业企业技术创新效率研究[J].管理评论, 2014,26(6):56-66
[28] 周力.中国绿色创新的空间计量经济分析[J].资源科学, 2010,32(5):932-939
[29] Tone K. Dealing with Undesirable Outputs in DEA:A Slacks-based Measure (SBM) Approach[R]. GRIPS Research Report Series, 2003
[30] 宫大鹏,赵涛,慈兆程,等.基于超效率SBM的中国省际工业化石能源效率评价及影响因素分析[J].环境科学学报, 2015,35(2):585-595
[31] Holtz-Eakin D., Newey W., Rosenh H. S. Estimating Vector Autoregressions with Panel Data[J]. Econometrica, 1988,56(19):1371-1395
[32] Lütkepohl H. New Introduction to Multiple Time Series Analysis[M]. Berlin:Springer, 2005
[33] 沈悦,李善燊,马续涛. VAR宏观计量经济模型的演变与最新发展——基于2011年诺贝尔经济学奖得主Smis研究成果的拓展脉络[J].数量经济技术经济研究, 2012,29(10):150-160
[34] 张钢,张小军.国外绿色创新研究脉络梳理与展望[J].外国经济与管理, 2011,33(8):25-32
[35] Keskin D., Diehl J. C., Molenaar N. Innovation Process of New Ventures Driven by Sustainability[J]. Journal of Cleaner Production, 2013,45(45):50-60
[36] Mirata M., Emtairah T. Industrial Symbiosis Networks and the Contribution to Environmental Innovation:The Case of the Landskrona Industrial Symbiosis Programme[J]. Journal of Cleaner Production, 2005,13(10-11):993-1002
[37] 王惠,卞艺杰,王树乔,等.地理禀赋、对外贸易与工业技术创新效率——基于面板分位数的经验分析[J].管理评论, 2017,29(3):40-48
[38] 程慧平,万莉,黄炜,等.中国省际R&D创新与转化效率实证研究[J].管理评论, 2015,27(4):29-37
[39] 王美红,孙根年,康国栋.中国工业发展的能源消耗、SO2排放及行业类型分析[J].统计与决策, 2008,(20):91-94
[40] 王惠,王树乔,苗壮,等.研发投入对绿色创新效率的异质门槛效应——基于中国高技术产业的经验研究[J].科研管理, 2016,37(2):63-71
[41] 王惠,苗壮,王树乔,等.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
[42] 徐建中,曲小瑜.装备制造业环境技术创新效率及其影响因素研究——基于DEA-Malmquist和Tobit的实证分析[J].运筹与管理, 2015,24(1):246-254
[43] 于惊涛,王珊珊.基于低碳的绿色增长及绿色创新——中、美、英、德、日、韩实证与比较研究[J].科学学研究, 2016,34(4):528-538
[44] 陈兴红,武春友,匡海波.基于VAR模型的绿色增长模式与企业成长互动关系研究[J].科研管理, 2015,36(4):154-160
[45] Pedroni P. Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors[J]. Oxford Bulletin of Economics and Statistics, Special Issue, 1999,61(1):653-670
[46] 苏素,周凯.能源消费与经济增长动态关系的比较研究——基于PVAR模型的分析[J].价格理论与实践, 2012(8):74-75
[47] 刘爱东,曾辉祥,刘文静.中国碳排放与出口贸易间脱钩关系实证[J].中国人口·资源与环境, 2014,24(10):73-81
[48] 王海龙,连晓宇,林德明.绿色技术创新效率对区域绿色增长绩效的影响实证分析[J].科学学与科学技术管理, 2016,37(6):80-87
[49] Hamilton J. D. Time Series Analysis[M]. New Jersey:Princeton University Press, 1994
[50] 姚云飞,梁巧梅,魏一鸣.国际能源价格波动对中国边际减排成本的影响:基于CEEPA模型的分析[J].中国软科学, 2012,(2):156-165
[51] 柴建,郭菊娥,汪寿阳.能源价格变动对中国节能降耗的影响效应[J].中国人口·资源与环境, 2012,22(2):33-40
[52] 张宗益,呙小明,汪锋.能源价格上涨对中国第三产业能源效率的冲击——基于VAR模型的实证分析[J].管理评论, 2010,22(6):61-70