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How does blockchain promote the high-quality development of manufacturing? A quasi-natural experiment based on key environmental protection cities |
LI Shao-lin1,2, FENG Ya-fei1 |
1. Center for Industrial and Business Organization, Dongbei University of Finance and Economic, Dalian 116025, China; 2. Institute of Industrial Economics, Chinese Academy of Social Sciences, Beijing 100006, China |
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Abstract By building the objective function and behavioral motivation model under the application of blockchain technology in different ownership enterprises, this paper analyzed the mechanism of the development level of blockchain on the digital total factor productivity of manufacturing industry, and took the rise of blockchain industry as a quasi natural experiment evaluated the impact of blockchain technology on the green development of manufacturing industry based on the panel data system of 93 key environmental protection cities in China from 2003 to 2017. It was showed that the application of blockchain can force enterprises to realize green transformation characterized by efficiency improvement, sulfur dioxide emissions and pollution control costs were reduced by 26% and 17%, respectively, and the conclusion was still robust after tested with various methods such as instrumental variables, triple difference, PSM-DID and placebo. In addition, the mediating effect analysis showed that the current stage of green technological innovation was better than digital total factor productivity and energy efficiency in promoting the green development of manufacturing. Finally, the heterogeneity analysis based on the ownership characteristics of enterprises showed that the performance of state-owned blockchain enterprises in promoting the green transformation of manufacturing industry is better than that of non-state-owned enterprises, while the heterogeneity analysis based on urban characteristics found that the promotion effect of blockchain enterprises on the transformation of manufacturing industry with high proportion of the secondary industry and high energy consumption per unit GDP was stronger. This paper enriched the theoretical research in the field of blockchain application and real economy development, contributed to a more comprehensive understanding of the mechanism of digital economy affecting the green development of China's manufacturing industry, and provided policy enlightenment for more scientific and accurate fomulation of blockchain development strategy.
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Received: 27 July 2020
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[1] |
Omar A, Mustafa A, Clutterbuck, Yogesh D. The state of play of blockchain technology in the financial services sector:A systematic literature review[J]. International Journal of Information Management, 2020,54(10):21-29.
|
[2] |
渠慎宁.区块链助推实体经济高质量发展:模式、载体与路径[J]. 改革, 2020,(1):39-47. Qu S N. Blockchain promoting high-quality development of entity economy:mode,carrier and path[J]. Reform, 2020,(1):39-47.
|
[3] |
Sube S, Ankit B, Biswajit M. Digital twin driven inclusive manufacturing using emerging technologies[J]. IFAC Papers Online, 2019,52(1):2225-2230.
|
[4] |
Ishan M, Sudeep T, Sudhan T, et al. Blockchain for 5G-enabled IoT for industrial automation:A systematic review,solutions,and challenges[J]. Mechanical Systems and Signal Processing, 2020, 135(1):63-82.
|
[5] |
Iván H, Solano E L, Andrés M. Control and monitoring for sustainable manufacturing in the Industry 4.0:A literature review[J]. IFAC Proceedings, 2019,52(10):195-200.
|
[6] |
Li Z, Barenji A V, Huang G Q. Toward a blockchain cloud manufacturing system as a peer to peer distributed network platform[J]. Robotics & Computer Integrated Manufacturing, 2018,54(12):133-144.
|
[7] |
Allen D, Berg C, Markeytowler B. Blockchain and the evolution of institutional technologies:Implications for innovation policy[J]. Research Policy, 2020,49(1):38-65.
|
[8] |
Sikorski J J, Haughton J, Kraft M. Blockchain technology in the chemical industry:Machine-to-machine electricity market[J]. Applied Energy, 2017,195(3):234-246.
|
[9] |
Yohan H, Byungjun P, Jongpil J. A novel architecture of air pollution measurement platform using 5G and blockchain for industrial IoT applications[J]. Procedia Computer Science, 2019,155(8):728-733.
|
[10] |
许宪春,任雪,常子豪.大数据与绿色发展[J]. 中国工业经济, 2019,(4):5-22. Xu X C, Ren X, Chang Z H. Big data and green development[J]. China Industrial Economics, 2019,(4):5-22.
|
[11] |
林木西,张紫薇. "区块链+生产"推动企业绿色生产——对政府之手的新思考[J]. 经济学动态, 2019,(5):42-56. Lin M X, Zhang Z W. "Blockchain + production" promotes green production of enterprises-New understanding of the hand of the government[J]. Economic Perspectives, 2019,(5):42-56.
|
[12] |
汤临佳,郑伟伟,池仁勇.智能制造创新生态系统的功能评价体系及治理机制[J]. 科研管理, 2019,(7):97-105. Tang L J, Zheng W W, Chi R Y. Function evaluation system and governance mechanism of intelligent manufacturing innovation ecosystem[J]. Science Research Management, 2019,(7):97-105.
|
[13] |
张彩云,盛斌,苏丹妮.环境规制、政绩考核与企业选址[J]. 经济管理, 2018,(11):21-38. Zhang C Y, Sheng B, Su D N. Environmental regulation、performance appraisal and the location of enterprises[J]. Business Management Journal, 2018,(11):21-38.
|
[14] |
李静,倪冬雪.中国工业绿色生产与治理效率研究——基于两阶段SBM网络模型和全局Malmquist方法[J]. 产业经济研究, 2015,(3):42-53. Li J, Ni D X. China's industrial green production and governance efficiency research-Based on two-stage SBM network model and global malmquist method[J]. Industrial Economics Research, 2015,(3):42-53.
|
[15] |
Brunnermeier S B, Cohen M A. Determinants of environmental innovation in US manufacturing industries[J]. Journal of Environmental Economics and Management, 2003,45(2):278-293.
|
[16] |
景维民,张璐.环境管制,对外开放与中国工业的绿色技术进步[J]. 经济研究, 2014,(9):34-47. Jing W M, Zhang L. Environment regulation,economic opening and China's industral green technology progress[J]. Economic Research Journal, 2014,(9):34-47.
|
[17] |
马士国.征收硫税对中国二氧化硫排放和能源消费的影响[J]. 中国工业经济, 2008,(2):20-30. Ma S G. Effects of sulfur tax on Chinese sulfur dioxide emission and energy consumption[J]. China Industrial Economics, 2008,(2):20-30.
|
[18] |
Acemoglu D, Aghion P, Hemous B D. The environment and directed technical change[J]. Social Electronic Publishing, 2012,102(1):131-166.
|
[19] |
毕克新,丁晓辉,冯英浚.制造业中小企业工艺创新能力测度指标体系的构建[J]. 数量经济技术经济研究, 2002,(12):104-107. Bi K X, Ding X H, Feng Y J. Construction of measurement index system of process innovation capability of small and medium sized manufacturing enterprises[J]. The Journal of Quantitative & Technical Economic, 2002,(12):104-107.
|
[20] |
范丹,王维国.中国区域环境绩效及波特假说的再检验[J]. 中国环境科学, 2013,(5):952-959. Fan D, Wang W G. China's regional environmental performance and the reexamination of Porter's hypothesis[J]. China Environmental Science, 2013,(5):952-959.
|
[21] |
邓慧慧,杨露鑫.雾霾治理、地方竞争与工业绿色转型[J]. 中国工业经济, 2019,(10):118-136. Deng H H, Yang L X. Haze governance, local competition and industrial green transformation[J]. China Industrial Economics, 2019,(10):118-136.
|
[22] |
任胜钢,郑晶晶,刘东华,等.排污权交易机制是否提高了企业全要素生产率——来自中国上市公司的证据[J]. 中国工业经济, 2019,(5):5-23. Ren S G, Zheng J J, Liu D H, et al. Does emissions trading system improve firm's total factor productivity-evidence from chinese listed companies[J]. China Industrial Economics, 2019,(5):5-23.
|
[23] |
路正南,罗雨森.中国碳交易政策的减排有效性分析——双重差分法的应用与检验[J]. 干旱区资源与环境, 2020,(4):1-7. Lu Z N, Luo Y S. Analysis of China's carbon trading policy in mitigation effectiveness[J]. Journal of Arid Land Resources and Environment, 2020,(4):1-7.
|
[24] |
侯建,常青山,陈建成,等.环境规制视角下制造业绿色转型对能源强度的影响[J]. 中国环境科学,2020,40(9):4155-4166. Hou J, Chang Q S, Cheng J C, et al. The impact of green transformation of manufacturing industry on energy intensity from the perspective of environmental regulation[J]. China Environmental Science, 2020,40(9):4155-4166.
|
[25] |
吴健生,牛妍,彭建,等.基于DMSP/OLS夜间灯光数据的1995~2009年中国地级市能源消费动态[J]. 地理研究, 2014,(4):625-634. Wu J S, Niu Y, Peng J, et al. Research on energy consumption dynamic among prefecture-level cities in China based on DMSP/OLS Nighttime Light[J]. Geographical Research, 2014,(4):625-634.
|
[26] |
国家统计局能源司.中国环境统计年鉴2003~2018[M]. 北京:中国统计出版社, 2019. Department of Energy, National Bureau of Statistics. China environmental statistics yearbook 2003~2018[M]. Beijing:China Statistics Press, 2019.
|
[27] |
国家统计局能源司.中国能源统计年鉴2003~2018[M]. 北京:中国统计出版社, 2019. Department of Energy, National Bureau of Statistics. China energy statistics yearbook 2003~2018[M]. Beijing:China Statistics Press, 2019.
|
[28] |
国家统计局城市社会经济调查司.中国城市统计年鉴2003~2019[M]. 北京:中国统计出版社, 2020. Department of urban social and economic investigation, National Bureau of Statistics. China urban statistics yearbook 2003~2019[M]. Beijing:China Statistics Press, 2020.
|
[29] |
Tsoutsoura M. The effect of succession taxes on family firm investment:Evidence from a natural experiment[J]. Journal of Finance, 2015,70(2):649-688.
|
[30] |
Hung M, Shi J, Wang Y. The effect of mandatory CSR disclosure on information asymmetry:Evidence from a quasi-natural experiment in China[J]. Social ence Electronic Publishing, 2013,33(5):1-17.
|
[31] |
范子英,彭飞. "营改增"的减税效应和分工效应:基于产业互联的视角[J]. 经济研究, 2017,(2):82-95. Fan Z Y, Peng F. The effects of "business tax replaced with VAT reform" on firms' tax cuts and industrial division based on the perspective of industrial interconnection[J]. Economic Research Journal, 2017,(2):82-95.
|
[32] |
陈文俊,彭有为,胡心怡.战略性新兴产业政策是否提升了创新绩效[J]. 科研管理, 2020,(1):22-34. Chen W J, Peng Y W, Hu X Y. Have industrial policies for strategic emerging industries promoted innovation performance?[J]. Science Research Management, 2020,(1):22-34.
|
[33] |
黄庆华,胡江峰,陈习定.环境规制与绿色全要素生产率:两难还是双赢?[J]. 中国人口·资源与环境, 2018,(11):140-149. Huang Q H, Hu J F, Chen X D. Environmental regulation and green total factor productivity:dilemma or win-win?[J]. China Population Resource and Environment, 2018,(11):140-149.
|
[34] |
王腾,严良,何建华,等.环境规制影响全要素能源效率的实证研究——基于波特假说的分解验证[J]. 中国环境科学, 2017,(4):1571-1578. Wang T, Yan L, He J H, et al. An empirical study on the effect of environmental regulation on total factor energy efficiency-decomposition verification based on Potter hypothesis[J]. China Environmental Science, 2017,(4):1571-1578.
|
[35] |
孙博文,傅鑫羽,任俊霖,等.环境规制的蓝色红利效应研究[J]. 中国环境科学, 2019,(8):3518-3529. Sun B W, Fu X Y, Ren J L, et al. Research on the blue dividend effect of environmental regulation[J]. China Environmental Science, 2019, (8):3518-3529.
|
[36] |
唐晓华,张欣珏,李阳.中国制造业与生产性服务业动态协调发展实证研究[J]. 经济研究, 2018,(3):79-93. Tang X H, Zhang X J, Li Y. Dynamic coordination development in China's manufacturing and manufacturing-related service industries[J]. Economic Research Journal, 2018,(3):79-93.
|
|
|
|