偏向型技术进步对长江经济带全要素能源效率影响研究
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摘要
探究偏向型技术进步对全要素能源效率的影响关系对推动经济发展方式向质量效率型转变具有重要意义。基于1997-2015年长江经济带沿线11省市面板数据,采用三要素超越对数生产函数,测算长江经济带上中下游地区技术进步偏向性指数和全要素能源效率。研究结果表明:长江经济带全要素能源效率地区差异显著,上中下游地区依次递增;偏向型技术进步对长江经济带全要素能源效率具有明显促进作用,下游地区技术进步偏向人力资本,中上游地区技术进步偏向物质资本。进一步提高长江经济带全要素能源效率,需完善创新软环境,加强区域技术合作,促进创新成果转化,优化要素配置结构,推动服务型政府建设。
Exploring the influence from biased technological change to total factor energy efficiency is of great importance to promote the transformation of economic development mode to quality and efficiency. Based on the panel data of 11 provinces and cities in the Yangtze River Economic Belt during 1997-2015,this paper estimates the biased technological change and TFEE from the upper to lower reaches of the Yangtze River economic belt by using the three factors transcendental production function. The results show that the TFEE of the Yangtze River economic belt has a significant regional difference and increases successively from the upper to lower reaches. The biased technological change of the Yangtze River economic belt has a positive effect on TFEE. The technological change in the lower reaches biased to human capital and improved factor efficiency; the middle and upper reaches tend to material capital and promote economic growth. To further improve the TFEE of the Yangtze River economic belt,we must improve the soft environment of innovation,strengthen regional technical cooperation and exchange,promote the transformation of technological achievements,optimize the allocation of inter-regional resources and promote the building of a service-oriented government.
Exploring the influence from biased technological change to total factor energy efficiency is of great importance to promote the transformation of economic development mode to quality and efficiency. Based on the panel data of 11 provinces and cities in the Yangtze River Economic Belt during 1997-2015,this paper estimates the biased technological change and TFEE from the upper to lower reaches of the Yangtze River economic belt by using the three factors transcendental production function. The results show that the TFEE of the Yangtze River economic belt has a significant regional difference and increases successively from the upper to lower reaches. The biased technological change of the Yangtze River economic belt has a positive effect on TFEE. The technological change in the lower reaches biased to human capital and improved factor efficiency; the middle and upper reaches tend to material capital and promote economic growth. To further improve the TFEE of the Yangtze River economic belt,we must improve the soft environment of innovation,strengthen regional technical cooperation and exchange,promote the transformation of technological achievements,optimize the allocation of inter-regional resources and promote the building of a service-oriented government.
引文
[1]]吴传清,董旭.环境约束下长江经济带全要素能源效率研究[J].中国软科学,2016(3):73-83.
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[3]周新苗,钱欢欢.资源错配与效率损失:基于制造业行业层面的研究[J].中国软科学,2017(1):183-192.
[4]钟世川,毛艳华.中国全要素生产率的再测算与分解研究——基于多要素技术进步偏向的视角[J].经济评论,2017(1):3-14.
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[8]Chen X.Biased technical change,scale and factor substitution in US manufacturing industries[J].Macroeconomic Dynamics,2017,21(2):488-514.
[9]Antonelli C,Quatraro F.The effects of biased technological change on total factor productivity:empirical evidence from a sample of OECD countries[J].The Journal of Technology Transfer,2010,35(4):361-383.
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[13]Ji L.Rethinking directed technical change with endogenous market structure[J].DEGIT Conference Papers,2012.
[14]王林辉,蔡啸,高庆昆.中国技术进步技能偏向水平:1979-2010[J].经济学动态,2014(4):56-65.
[15]雷钦礼.偏向性技术进步的测算与分析[J].统计研究,2013(4):83-91.
[16]王俊,胡雍.中国制造业技能偏向技术进步的测度与分析[J].数量经济技术经济研究,2015(1):82-96
[17]何小钢,王自力.能源偏向型技术进步与绿色增长转型——基于中国33个行业的实证考察[J].中国工业经济,2015(2):50-62.
[18]郝枫.中国技术偏向的趋势变化、行业差异及总分关系[J].数量经济技术经济研究,2017(4):20-38.
[19]董直庆,蔡啸,王林辉.财产流动性与分布不均等:源于技术进步方向的解释[J].中国社会科学,2016(10):72-92.
[20]沈春苗,郑江淮.宽厚的政府采购、挑剔的消费者需求与技术偏向性技术进步[J].经济评论,2016(3):39-49.
[21]武瞬臣,王静,王雪友.中国区域农业技术进步偏向与要素结构匹配研究[J].中国科技论坛,2016(6):148-154.
[22]杨飞.劳动禀赋结构与技能偏向性技术进步——基于技术前沿国家的分析[J].经济评论,2013(4):5-12.
[23]宋丽萍,杨大威.开放经济下中国产业结构特征与技术偏向性技术进步[J].世界经济研究2016(5):112-124.
[24]孔宪林,米美玲,高铁梅.技术进步适宜性与创新驱动工业结构调整——基于技术进步偏向性视角的实证研究[J].中国工业经济,2015(11):62-77.
[25]Jefferson G H,Rawski T G,Zhang Y.Productivity growth and convergence across China’s industrial economy[J].Journal of Chinese Economic and Business Studies,2008,6(2):121-140.
[26]汪克亮,杨宝臣.中国全要素能源效率与能源技术的区域差异[J].科研管理,2012(5):56-63.
[27]李兰冰.中国全要素能源效率评价与解构——基于“管理—环境”双重视角[J].中国工业经济,2012(6):57-69.
[28]张意翔,成金华,汤尚颖,等.技术进步偏向性、产权结构与中国区域能源效率[J].数量经济技术经济研究,2017(8):72-88.
[29]刘丹丹等.全要素视角下中国西部地区能源效率及影响因素[J].中国环境科学,2015(6):1911-1920.
[30]汪克亮,杨宝臣,杨力.基于技术差距的中国区域全要素能源效率研究[J].科学学研究,2011(7):1021-1028.
[31]朱远,刘国平.全要素福利绩效的时空演化与影响因素研究——以长江经济带11省市为例[J].东南学术,2017(6):102-109.
[32]杨恺钧,毛博伟.长江经济带物流业全要素能源效率——基于包含碳排放的SBM与GML指数模型[J].北京理工大学学报(社会科学版),2016(6):54-62.
[33]王兆华,丰超.中国区域全要素能源效率及其影响因素分析——基于2003-2010年的省际面板数据[J].系统工程理论与实践,2015(6):1361-1372.
[34]王维国,范丹.中国区域全要素能源效率收敛性及影响因素分析——基于ML指数法[J].资源科学,2012(10):1816-1824.
[35]汪克亮,杨力,杨宝臣,等.考虑技术进步偏向性的全要素生产率分解及其演变——来自1992~2009年中国省际面板数据的经验依据[J].软科学,2014(3):12-15,25.
[36]董直庆,陈锐.技术进步偏向性变动对全要素生产率增长的影响[J].管理学报,2014(8):1199-1207.
[37]Leon-Ledesma M A,Mc Adam P,Willman A.Identifying the elasticity of substitution with biased technical change[J].American Economic Review,2010,100(4):1330-1357.
[38]钟世川,毛艳华.中国经济增长率的分解——基于要素分配参数的讨论[J].统计研究,2016(9):22-29.
[39]Acemoglu D.Equilibrium bias of technology[J].Econometrica,2007,75(5):1371-1409.
[40]郝枫.超越对数函数要素替代弹性公式修正与估计方法比较[J].数量经济技术经济研究,2015(4):88-105,122.
[41]张健华,王鹏.中国全要素生产率:基于分省份资本折旧率的再估计[J].管理世界,2012(10):18-30.
[2]黄先海,宋学印.准前沿经济体的技术进步路径及动力转换——从“追赶导向”到“竞争导向”[J].中国社会科学,2017(6):60-79.
[3]周新苗,钱欢欢.资源错配与效率损失:基于制造业行业层面的研究[J].中国软科学,2017(1):183-192.
[4]钟世川,毛艳华.中国全要素生产率的再测算与分解研究——基于多要素技术进步偏向的视角[J].经济评论,2017(1):3-14.
[5]Klump R,Mc Adam P,Willman A.Unwrapping some euro area growth puzzles:Factor substitution,productivity and unemployment[J].Journal of Macroeconomics,2008,30(2):645-666.
[6]Sato R,Morita T.Quantity or quality:The impact of labor saving innovation on US and Japanese growth rates,1960-2004[J].The Japanese Economic Review,2009,60(4):407-434.
[7]Young A T.US elasticities of substitution and factoraugmentation at the industry level[J].Macroeconomic Dynamics,2013,17(4):861-897.
[8]Chen X.Biased technical change,scale and factor substitution in US manufacturing industries[J].Macroeconomic Dynamics,2017,21(2):488-514.
[9]Antonelli C,Quatraro F.The effects of biased technological change on total factor productivity:empirical evidence from a sample of OECD countries[J].The Journal of Technology Transfer,2010,35(4):361-383.
[10]Edmonds J,Calvin K,Clarke L,et al.Energy and technology lessons since Rio[J].Energy Economics,2012,34:S7-S14.
[11]Acemoglu D,Gancia G,Zilibotti F.Off-shoring and directed technical change[J].American Economic Journal:Macroeconomics,2015,7(3):84-122.
[12]Carraro C,De Cian E.Factor-augmenting technical change:an empirical assessment[J].Environmental Modeling&Assessment,2013,18(1):13-26.
[13]Ji L.Rethinking directed technical change with endogenous market structure[J].DEGIT Conference Papers,2012.
[14]王林辉,蔡啸,高庆昆.中国技术进步技能偏向水平:1979-2010[J].经济学动态,2014(4):56-65.
[15]雷钦礼.偏向性技术进步的测算与分析[J].统计研究,2013(4):83-91.
[16]王俊,胡雍.中国制造业技能偏向技术进步的测度与分析[J].数量经济技术经济研究,2015(1):82-96
[17]何小钢,王自力.能源偏向型技术进步与绿色增长转型——基于中国33个行业的实证考察[J].中国工业经济,2015(2):50-62.
[18]郝枫.中国技术偏向的趋势变化、行业差异及总分关系[J].数量经济技术经济研究,2017(4):20-38.
[19]董直庆,蔡啸,王林辉.财产流动性与分布不均等:源于技术进步方向的解释[J].中国社会科学,2016(10):72-92.
[20]沈春苗,郑江淮.宽厚的政府采购、挑剔的消费者需求与技术偏向性技术进步[J].经济评论,2016(3):39-49.
[21]武瞬臣,王静,王雪友.中国区域农业技术进步偏向与要素结构匹配研究[J].中国科技论坛,2016(6):148-154.
[22]杨飞.劳动禀赋结构与技能偏向性技术进步——基于技术前沿国家的分析[J].经济评论,2013(4):5-12.
[23]宋丽萍,杨大威.开放经济下中国产业结构特征与技术偏向性技术进步[J].世界经济研究2016(5):112-124.
[24]孔宪林,米美玲,高铁梅.技术进步适宜性与创新驱动工业结构调整——基于技术进步偏向性视角的实证研究[J].中国工业经济,2015(11):62-77.
[25]Jefferson G H,Rawski T G,Zhang Y.Productivity growth and convergence across China’s industrial economy[J].Journal of Chinese Economic and Business Studies,2008,6(2):121-140.
[26]汪克亮,杨宝臣.中国全要素能源效率与能源技术的区域差异[J].科研管理,2012(5):56-63.
[27]李兰冰.中国全要素能源效率评价与解构——基于“管理—环境”双重视角[J].中国工业经济,2012(6):57-69.
[28]张意翔,成金华,汤尚颖,等.技术进步偏向性、产权结构与中国区域能源效率[J].数量经济技术经济研究,2017(8):72-88.
[29]刘丹丹等.全要素视角下中国西部地区能源效率及影响因素[J].中国环境科学,2015(6):1911-1920.
[30]汪克亮,杨宝臣,杨力.基于技术差距的中国区域全要素能源效率研究[J].科学学研究,2011(7):1021-1028.
[31]朱远,刘国平.全要素福利绩效的时空演化与影响因素研究——以长江经济带11省市为例[J].东南学术,2017(6):102-109.
[32]杨恺钧,毛博伟.长江经济带物流业全要素能源效率——基于包含碳排放的SBM与GML指数模型[J].北京理工大学学报(社会科学版),2016(6):54-62.
[33]王兆华,丰超.中国区域全要素能源效率及其影响因素分析——基于2003-2010年的省际面板数据[J].系统工程理论与实践,2015(6):1361-1372.
[34]王维国,范丹.中国区域全要素能源效率收敛性及影响因素分析——基于ML指数法[J].资源科学,2012(10):1816-1824.
[35]汪克亮,杨力,杨宝臣,等.考虑技术进步偏向性的全要素生产率分解及其演变——来自1992~2009年中国省际面板数据的经验依据[J].软科学,2014(3):12-15,25.
[36]董直庆,陈锐.技术进步偏向性变动对全要素生产率增长的影响[J].管理学报,2014(8):1199-1207.
[37]Leon-Ledesma M A,Mc Adam P,Willman A.Identifying the elasticity of substitution with biased technical change[J].American Economic Review,2010,100(4):1330-1357.
[38]钟世川,毛艳华.中国经济增长率的分解——基于要素分配参数的讨论[J].统计研究,2016(9):22-29.
[39]Acemoglu D.Equilibrium bias of technology[J].Econometrica,2007,75(5):1371-1409.
[40]郝枫.超越对数函数要素替代弹性公式修正与估计方法比较[J].数量经济技术经济研究,2015(4):88-105,122.
[41]张健华,王鹏.中国全要素生产率:基于分省份资本折旧率的再估计[J].管理世界,2012(10):18-30.