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Research on Energy-Saving and Emission-Reduction Efficiency of China's Automobile Industry from the Perspective of Technological Innovation |
Ouyang Mingke 1, Li Jianfei2, Zhang Yabin1 |
1. School of Economics and Trade,Hunan University,Changsha 410079,China; 2. School of Business Administration,Hunan University of Technology and Business,Changsha 410205,China |
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Abstract Based on the perspective of technological innovation efficiency,this paper constructs a network structure model of the energy-saving and emission-reduction efficiency of China's automobile industry,and uses the non-radial and non-angle SSBM-NDEA model to measure the energy-saving and emission-reduction efficiency of China's automobile industry from 2000 to 2016.Quantile regression models are used to analyze the impact of technological innovation on the energy-saving and emission-reduction efficiency of China's automobile industry,as well as the heterogeneous characteristics and effects of different industrial sectors.The research results are as follows.①The overall level of energy-saving and emission-reduction efficiency of China's automobile industry is not high,and there are large differences among different internal industrial sectors.Technological innovation has played a significant impact on the improvement of the efficiency of energy-saving and emission-reduction in China's automobile industry,especially in the process of resource input conversion.②Three factors,including energy consumption structure,new product R&D investment,and market prospects,have significantly affected the improvement of the efficiency of energy-saving and emission-reduction in China's automobile industry.③The two technological innovation variables of new product R&D investment and R&D internal expenditure have different effects on the improvement of energy-saving and emission-reduction efficiency in different types of industrial sectors,and there are typical differences in the distribution of elastic coefficients at each quantile.The main innovation of this paper is to construct an energy-saving and emission-reduction efficiency model of the Chinese automobile industry from the perspective of technological innovation,analyze the energy-saving and emission-reduction effects of technological innovation among different industrial sectors,and provide a new theoretical research perspective,model and paradigm.
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Received: 22 September 2020
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[1]何小钢,张耀辉.技术进步、节能减排与发展方式转型——基于中国工业36个行业的实证考察[J].数量经济技术经济研究,2012,29 (3):19-33. [2]叶琴,曾刚,戴劭勍,等.不同环境规制工具对中国节能减排技术创新的影响——基于285个地级市面板数据[J].中国人口·资源与环境,2018,28 (2):115-122. [3]孙传旺,刘希颖,林静.碳强度约束下中国全要素生产率测算与收敛性研究[J].金融研究,2010 (6):17-33. [4]孙欣.省际节能减排效率变动及收敛性研究——基于Malmquist指数[J].统计与信息论坛,2010,25 (6):101-107. [5]于鹏飞,李悦,高义学,等.基于DEA模型的国内各地区节能减排效率研究[J].中国人口·资源与环境,2010,20 (S1):39-42. [6]王小兵,雷仲敏,张正河.中国区域节能减排能力测度与政策推进——以东北地区为例[J].中国人口·资源与环境,2011,21 (6):83-88. [7]余泳泽,杜晓芬.经济发展、政府激励约束与节能减排效率的门槛效应研究[J].中国人口·资源与环境,2013,23 (7):93-99. [8]庞瑞芝,王卢羡,张泉.转型期间中国工业部门全要素能源效率的要素效应、结构效应与技术效应分析[J].当代经济科学,2009,31 (5):21-27+124-125. [9]张庆芝,何枫,赵晓.基于超效率DEA的我国钢铁产业能源效率研究[J].软科学,2012,26 (2):65-68. [10]周五七,聂鸣.基于节能减排的中国省级工业技术效率研究[J].中国人口·资源与环境,2013,23 (1):25-32. [11]蔡宁,丛雅静,李卓.技术创新与工业节能减排效率——基于SBM-DDF方法和面板数据模型的区域差异研究[J].经济理论与经济管理,2014 (6):57-70. [12]冯博,王雪青.中国建筑业能源经济效率与能源环境效率研究——基于SBM模型和面板Tobit模型的两阶段分析[J].北京理工大学学报 (社会科学版),2015,17 (1):14-22. [13]王惠,王树乔.中国工业CO 2排放绩效的动态演化与空间外溢效应[J].中国人口·资源与环境,2015,25 (9):29-36. [14]周群英,陈光玖.节能减排环境效率的统计测度[J].统计与决策,2016 (16):78-81. [15]金桂荣,张丽.中小企业节能减排效率及影响因素研究[J].中国软科学,2014 (1):126-133. [16]金桂荣.提升我国中小企业节能减排效率的创新驱动研究[J].科学管理研究,2014,32 (3):89-92. [17]黄清煌,高明.中国环境规制工具的节能减排效果研究[J].科研管理,2016,37 (6):19-27. [18]段文斌,刘大勇,余泳泽.异质性产业节能减排的技术路径与比较优势——理论模型及实证检验[J].中国工业经济,2013 (4):69-81. [19]余泳泽.我国节能减排潜力、治理效率与实施路径研究[J].中国工业经济,2011 (5):58-68. [20]向其凤,王文举.中国能源结构调整及其节能减排潜力评估[J].经济与管理研究,2014 (7):13-22. [21]张丹,王腊芳.中国区域节能减排绩效的差异性与收敛性分析[J].系统工程,2015,33 (4):92-98. [22]郭彬,逯雨波.我国中部六省节能减排效率测评及其影响因素分析——基于超效率DEA模型和Tobit模型[J].技术经济,2012,31 (12):58-62+76. [23]韩珺.循环经济与节能减排解析[J].中国人口·资源与环境,2008 (3):173-176. [24]张金英.低碳经济与产业技术创新框架的构建[J].中国行政管理,2010 (10):73-76. [25]王丽民,宋炳宏,么海亮.技术创新对河北省节能减排作用的实证研究[J].河北大学学报 (哲学社会科学版),2011,36 (4):49-54. [26]金培振,张亚斌,彭星.技术进步在二氧化碳减排中的双刃效应——基于中国工业35个行业的经验证据[J].科学学研究,2014,32 (5):706-716. [27]周杰琦,汪同三.自主技术创新对中国碳排放的影响效应——基于省际面板数据的实证研究[J].科技进步与对策,2014,31 (24):29-35. [28]史丹,马翠萍.我国能源需求的驱动因素与节能减排政策效果分析[J].当代财经,2014 (10):17-24. [29]何小钢.能源约束、绿色技术创新与可持续增长——理论模型与经验证据[J].中南财经政法大学学报,2015 (4):30-38+158-159. [30]王怡,王艳秋.中国环境规制、技术创新与碳排放量关系的动态分析——基于脉冲响应函数和方差分解法[J].经济与管理,2013,27 (2):5-10. [31]李沙沙,牛莉.技术进步对二氧化碳排放的影响分析——基于静态和动态面板数据模型[J].经济与管理研究,2014 (10):19-26. [32]曾萍,邓腾智,吴小节.节能减排与技术创新:来自广东珠三角地区企业的经验证据[J].经济体制改革,2013 (1):107-111. [33]邹新月,吴李淼.节能减排、技术创新与收入再分配的宏观波动效应[J].广东财经大学学报,2014,29 (4):26-35. [34]李斌,彭星.环境规制工具的空间异质效应研究——基于政府职能转变视角的空间计量分析[J].产业经济研究,2013 (6):38-47. [35]王锋正,郭晓川,赵黎.环境规制、技术进步与二氧化硫排放——基于省际面板数据的实证研究[J].郑州大学学报 (哲学社会科学版),2014,47 (4):63-67. [36]吴卫红,刘佳,张爱美,等.基于DEA-Malmquist指数方法的能源产业技术创新效率实证分析[J].生态经济,2016,32 (6):67-72+76. [37]郑季良,王少芳.高耗能企业技术创新与节能减排系统耦合度分析[J].企业经济,2018,37 (2):56-62. [38]王班班,齐绍洲.市场型和命令型政策工具的节能减排技术创新效应——基于中国工业行业专利数据的实证[J].中国工业经济,2016 (6):91-108. [39]TONE K,SAHOO B K.Re-examining scale elasticity in DEA[J].Annals of operations research,2006,145 (1):69-87. [40]FARE R,GROSSKOPF S.Network DEA[J].Socio-economic planning sciences,2005,34 (1):35-49. [41]ZHENG C Y,ZHANG Z Y.Input and output of rural water conservancy based on group DEA model[J].Journal of Hohai university,2009,37 (2):245-248. [42]黄清煌,高明.环境规制的节能减排效应研究——基于面板分位数的经验分析[J].科学学与科学技术管理,2017,38 (1):30-43. [43]KOENKER R,BASSETT G.Regression quantiles[J].Econometrica,1978,46 (1):33-50. [44]单豪杰.中国资本存量K的再估算:1952—2006年[J].数量经济技术经济研究,2008,25 (10):17-31. [45]WATANABE N,TANAKA K,HIHARA E.Research on annual energy consumption of air conditioning equipment[J].Transactions of the Japan society of refrigerating & air conditioning engineers,2011,21 (2):157-165. [46]KANEMOTO K,MANAGI S.Impact of trade openness and sector trade on embodied greenhouse gases emissions and air pollutants[J].Journal of industrial ecology,2016,20 (3):494-505. [47]汪克亮,史利娟,刘蕾,等.长江经济带大气环境效率的时空异质性与驱动因素研究[J].长江流域资源与环境,2018,27 (3):453-462. |
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