|
|
|
| Carbon Trading and Green Total Factor Productivity in Manufacturing Industry under the "Double Carbon" Goal：A Mechanism Test Based on Heterogeneous Technology Innovation Model |
| Xing Hui,Jiang Ying,Chen Yuanyuan |
| (School of Economics and Management，Hebei University of Technology，Tianjin 300401，China) |
|
|
|
|
Abstract Since the 1990s, global warming has frequently caused extreme weather such as droughts and floods, damaged the ecological environment and threatened the safety of human life and property, which has aroused widespread concern in the international community. Therefore, China has actively taken part in global governance and put forward the "dual carbon" goal. Carbon trading is an important policy tool to achieve the goal of "dual carbon". Existing studies have shown that carbon trading has significant effect to reduce emissions. However, it is important to note that enterprises involved in carbon trading may reduce carbon emissions through industrial transfer or output reduction, but these measures can not last for long. Green transformation of manufacturing industry is the fundamental path of carbon emission reduction, and its important performance is the improvement of green total factor productivity. Manufacturing enterprises are the main emission control subjects involved in carbon trading. Therefore, it is necessary to give full play to the promotion role of carbon trading on green total factor productivity in manufacturing in order to reduce carbon emissions on the basis of the healthy development of the manufacturing industry and achieve the goal of "dual carbon" at an early date.#br#Existing studies mostly investigate the impact of carbon trading implementation on green total factor productivity in manufacturing. In fact, carbon trading price and market scale differ significantly in different pilot regions, which has a great impact on green total factor productivity in manufacturing. Then how do carbon trading price and market scale affect green total factor productivity in manufacturing? In the research on the transmission path of carbon trading affecting green total factor productivity, most scholars believe that technological innovation is an important channel, but most of them take it as a whole. The theory of suitability puts forward that unsuitable technological innovation is difficult to match with the development stage of a country or region,and will weaken the impetus of technological innovation. Therefore, it is an important topic for manufacturing enterprises to choose suitable technology innovation mode. Under the constraints of carbon trading, which is the main innovation path to improve green total factor productivity in manufacturing, technology introduction, technology transformation, or independent innovation?#br#To answer the above questions, on the basis of panel data of 30 provinces in China from 2008 to 2020, a continuous dual difference model is constructed to evaluate the effects of carbon trading price and market scale on green total factor productivity of manufacturing industry, and investigate the transmission path of heterogeneous technological innovation mode.#br#The results show that increasing carbon trading price and expanding market scale can significantly improve green total factor productivity in manufacturing. Theoretical analysis shows that carbon trading price directly affects green total factor productivity in manufacturing through benefit incentive effect, cost pressure effect and survival of the fittest effect. The scale of carbon trading directly affects green total factor productivity in manufacturing by exerting the market mechanism, the change of quantity of demand side and the change of quantity of supply side. Based on the simultaneous equation model, the empirical test shows that carbon trading price and market scale can promote independent innovation and reduce technological transformation, thus affecting green total factor productivity in manufacturing, but technology introduction is not an effective path.The interaction term model is constructed to further analyze why the manufacturing industry increases independent innovation and reduces technological transformation under the background of carbon trading. It is found that the innovation funds of enterprises are limited and independent innovation has a crowding-out effect on technological transformation.#br#In fact, existing studies show that the implementation of carbon trading policy has a positive effect on green total factor productivity in manufacturing, However, the influence of carbon trading characteristics, such as the impact of transaction price and market scale on green total factor productivity in manufacturing has not been specified. The conclusions of this paper are significant supplements to the existing research. In addition, existing studies show that carbon trading can affect green total factor productivity in manufacturing through technological innovation, industrial structure and energy structure. This paper focuses on the function path of technological innovation to conduct a deeper analysis and refine the function channel exploration. The research conclusions have important implications for improving the design of carbon trading system and accurately formulating supporting policies for technological innovation.#br#
|
|
Received: 22 April 2022
|
|
|
|
|
|
| [1] 张婕,王凯琪,张云.碳排放权交易机制的减排效果——基于低碳技术创新的中介效应[J].软科学,2022,36(5):102-108.[2] 蒋和胜,孙明茜.碳排放权交易、产业结构与地区减排[J].现代经济探讨,2021,40(11):65-73.[3] 张建鹏,陈诗一.金融发展、环境规制与经济绿色转型[J].财经研究,2021,47(11):78-93.[4] 李元丽.发挥规模优势加快碳交易市场国际化[N].人民政协报,2021-07-27(5).[5] 周迪,刘奕淳.中国碳交易试点政策对城市碳排放绩效的影响及机制[J].中国环境科学,2020,40(1):453-464.[6] 何向武,周文泳,李明珠.自主研发、技术改造与技术引进生态关系研究——以中国高技术产业为例[J].科技进步与对策,2020,37(8):59-67.[7] 万攀兵,杨冕,陈林.环境技术标准何以影响中国制造业绿色转型——基于技术改造的视角[J].中国工业经济,2021,38(9):118-136.[8] XU X Y,XU X P,HE P. Joint production and pricing decisions for multiple products with cap-and-trade and carbon tax regulations[J]. Journal of Cleaner Production,2016,112(5):4093-4106.[9] SANDOFF A, SCHAAD G.Does EU ETS lead to emission reductions through trade? the case of the Swedish emissions trading sector participants[J]. Energy Policy,2009,37(10)：3967-3977.[10] 王文举,陈真玲.中国省级区域初始碳配额分配方案研究——基于责任与目标、公平与效率的视角[J].管理世界,2019,35(3):81-98.[11] 王勇,王丁玉,陈彦汝.不同配额分配方式对中国碳交易市场运行的影响——基于流动性、波动性与有效性视角的考察[J].资源科学,2021,43(12):2503-2513.[12] 白强,董洁,田园春.中国碳排放权交易价格的波动特征及其影响因素研究[J].统计与决策,2022,38(5):161-165.[13] WANG Y, WANG W. Risk identification and regulatory system design for the carbon market[J]. Chinese Journal of Population Resources and Environment, 2016,14(2):59-67.[14] ZHANG Y, PENG Y, MA C, et al. Can environmental innovation facilitate carbon emissions reduction? evidence from China[J].Energy Policy,2017,100:18-28.[15] CHEN Z，ZHANG X, CHEN F. Do carbon emission trading schemes stimulate green innovation in enterprises? evidence from China[J].Technological Forecasting & Social Change,2021,168:120744.[16] ZHANG S L,WANG Y,HAO Y,et al. Shooting two hawks with one arrow: could China's emission trading scheme promote green development efficiency and regional carbon equality[J].Energy Economics,2021,101:105412.[17] LI W,JIA Z J.The impact of emission trading scheme and the ratio of free quota:a dynamic recursive CGE model in China[J]Applied Energy，2016,7(174):1-14.[18] WU Q,TAMBUNLERTCHAI KANITTHA,PORNCHAIWISESKUL PONGSA.Examining the impact and influencing channels of carbon emission trading pilot markets in China[J].Sustainability,2021,13(10):5664.[19] HUANG D W,CHEN G. Can the carbon emissions trading system improve the green total factor productivity of the pilot cities: a spatial difference-in-differences econometric analysis in China[J]. International Journal of Environmental Research and Public Health,2022,19(3):1209.[20] PAUL L,MICHEL P,RICHARD L. Environmental regulation and productivity:testing the Porter hypothesis[J].Journal of Productivity Analysis,2008,30(2):121-128.[21] LI X S,SHU Y X,JIN X. Environmental regulation, carbon emissions and green total factor productivity: a case study of China[J].Environment, Development and Sustainability,2021,24:2577-2597.[22] 胡珺,黄楠,沈洪涛.市场激励型环境规制可以推动企业技术创新吗——基于中国碳排放权交易机制的自然实验[J].金融研究,2020,63(1):171-189.[23] 张修凡.碳市场流动性与区域低碳经济转型——基于低碳技术创新的双重中介效应分析[J].南京财经大学学报,2021,39(6):88-98.[24] 余萍,刘纪显.碳交易市场规模的绿色和经济增长效应研究[J].中国软科学,2020,35(4):46-55.[25] 薛飞,周民良.中国碳交易市场规模的减排效应研究[J].华东经济管理,2021,35(6):11-21.[26] 吴茵茵,齐杰,鲜琴,等.中国碳市场的碳减排效应研究——基于市场机制与行政干预的协同作用视角[J].中国工业经济,2021,38(8):114-132.[27] 魏丽莉,任丽源.碳排放权交易能否促进企业绿色技术创新——基于碳价格的视角[J]. 兰州学刊,2021,42(7):91-110.[28] 宋晓玲,孔垂铭.中国碳交易市场对地区经济结构影响的实证分析[J].宏观经济研究,2018,40(9):98-108.[29] MO JUNG YOUN. Technological innovation and its impact on carbon emissions: evidence from Korea manufacturing firms participating emission trading scheme[J]. Technology Analysis & Strategic Management,2022,34(1):47-57.[30] WANG W D,WANG D，NI W L，et al.The impact of carbon emissions trading on the directed technical change in China[J]. Journal of Cleaner Production,2020,272:122891.[31] 杨露鑫,刘玉成.环境规制与地区创新效率:基于碳排放权交易试点的准自然实验证据[J]. 商业研究,2020(9):11-24.[32] 刘祎,杨旭,黄茂兴.环境规制与绿色全要素生产率——基于不同技术进步路径的中介效应分析[J].当代经济管理,2020,42(6):16-27.[33] 唐葆君,吉嫦婧,王翔宇,等.后疫情时期全国碳市场政策对经济和排放的影响[J].中国环境管理,2021,13(3):19-27.[34] ZHANG T,YUE H F,ZHOU J,et al. Technological innovation paths toward green industry in China[J]. Chinese Journal of Population Resources and Environment,2018,16(2):97-108.[35] LI J L,CHEN L T,CHEN Y,et al. Digital economy, technological innovation, and green economic efficiency: empirical evidence from 277 cities in China[J]. Managerial and Decision Economics,2021,43(3):616-629.[36] 韩峰,阳立高.生产性服务业集聚如何影响制造业结构升级——一个集聚经济与熊彼特内生增长理论的综合框架[J].管理世界,2020,36(2):72-94.[37] 李若曦,周小亮,蔡娇丽.创新驱动生产率提升视角下国外技术获取方式选择[J].国际贸易问题,2021(12):66-81.[38] 刘志彪.提升生产率:新常态下经济转型升级的目标与关键措施[J].审计与经济研究,2015,30(4):77-84.[39] 林毅夫,张鹏飞.适宜技术、技术选择和发展中国家的经济增长[J].经济学(季刊),2006,6(3):985-1006.[40] MOSER P, VOENA A. Compulsory licensing: evidence from the trading with the enemy act[J]. American Economic Review, 2012,102(1):396-427.[41] TONE K, TSUTSUI M. An epsilon-based measure of efficiency in DEAA third pole of technical efficiency[J]. European Journal of Operational Research, 2010,207(3):1554-1563.[42] 闫莹，孙亚蓉,耿宇宁.环境规制政策下创新驱动工业绿色发展的实证研究——基于扩展的CDM方法[J].经济问题,2020,42(8):86-94.[43] 刘鑫鑫,惠宁.互联网、技术创新与制造业高质量发展——基于创新模式的异质效应分析[J].经济问题探索,2021,42(9):143-155.[44] 范子英,田彬彬.税收竞争、税收执法与企业避税[J].经济研究,2013,48(9):99-111.[45] 乔翠霞,杨晨曦.制造业技术创新策略：技术水平与技术来源选择[J].科技进步与对策,2022,39(6):72-81.[46] 郭克莎,彭继宗.制造业在中国新发展阶段的战略地位和作用[J].中国社会科学,2021,42(5):128-149. |
|
|
|
