|
|
Does Industrial Robot Application Promote the Integrated Development of Manufacturing and Services? Evidence from Input Servitization of China's Manufacturing Firms |
GAO Xiang, ZHANG Min, LIU Qiren
|
School of International Business and Economics, Shanghai University of International Business and Economics; School of Economics and Trade, Hunan University; School of Economics and Statistics, Guangzhou University, School of Business, Nanjing University |
|
|
Abstract With a new round of technological revolution and industrial reform, the global manufacturing industry is changing from a “single production” mode to a “production+service” mode. Modern industrial development focuses on integrating the manufacturing and service industries. Therefore, it is important to understand how to accelerate the process of integrating the two industries to enhance the core competitiveness of China's manufacturing industry, build a modern industrial system and achieve high-quality economic development. Industrial robots are being increasingly used in production. Undoubtedly, the introduction of industrial robots will have a profound impact on the process of integrating the two industries in China. However, not many studies have examined the impact of industrial robots on integrating the two industries in China; this study seeks to fill this gap. First, this study uses data from the China Industrial Enterprise and China Customs Trade databases and the Inter-country Input-Output Tables published by the Organisation for Economic Cooperation and Development to measure the service value added of Chinese manufacturing enterprises. The rate of service value added at the enterprise level is divided into the domestic service value added rate and foreign service value added rate, according to the enterprise using the service elements in the source country, to measure the input level of service or manufacturing enterprises and further international federation of robot docking nation-year-industry aspects of statistical data of industrial robots. On this basis, this study investigates the effect of industrial robots on integration of the two industries. The results show that industrial robots significantly increase the service value added rate of Chinese manufacturing enterprises, but this increase is mainly achieved by promoting the use of foreign services and inhibiting the use of domestic services. The results of the heterogeneity test show that the effect of industrial robots on integration of the two industries is mainly concentrated in processing trade enterprises; enterprises in the Eastern region; foreign investments; enterprises in Hong Kong, Macao and Taiwan; and labor-intensive and technology-intensive enterprises. The effect of industrial robots on integration of the two industries is mainly achieved by increasing technological innovation and production efficiency and extending the production chain, while human capital investment has a negative substitution effect. Finally, this study also discusses the influence of industrial robots on the factor substitution and industry diffusion effects in the integration of the two industries. This study makes the following contributions. First, it uses enterprise data in China and systematically tests the influence of industrial robots on integration of the two industries by constructing Batik instrumental variables and adopting the propensity score matching method after overcoming potential endogeneity. Second, it explores trade added value accounting and the double advantage of micro measurement based on the combination of macro to micro measurement. Effective utilization of large amounts of information on industry departments and industrial enterprises can be used to build a measure for companies on the basis of the characteristics and source of a service, dual trade structure and other factors. This overcomes the deficiency of neglecting the individual characteristics of enterprises that manufacture inputs. Third, the internal mechanism and the differentiation effect of robots on integrating the two industries are analyzed deeply, and the characteristics of the effects of industrial robots on the service-oriented transformation of manufacturing enterprises are discussed. Fourth, based on the conditions in China, this study finds that industrial robots in processing trade enterprises have significant elements of domestic service rather than foreign service, and the application of industrial robots significantly promotes the integration and development of two-industry manufacturing processes through industry spread and diffusion effects between industries.
|
Received: 17 January 2022
Published: 02 December 2022
|
|
|
|
Cite this article: |
GAO Xiang,ZHANG Min,LIU Qiren. Does Industrial Robot Application Promote the Integrated Development of Manufacturing and Services? Evidence from Input Servitization of China's Manufacturing Firms[J]. Journal of Financial Research,
2022, 509(11): 58-76.
|
|
|
|
URL: |
http://www.jryj.org.cn/EN/ OR http://www.jryj.org.cn/EN/Y2022/V509/I11/58 |
[1] |
陈丽娴和沈鸿,2017,《制造业服务化如何影响企业绩效和要素结构—基于上市公司数据的PSM-DID实证分析》,《经济学动态》第5期,第64~77页。
|
[2] |
戴翔,2016,《中国制造业出口内涵服务价值演进及因素决定》,《经济研究》第9期,第44~57+174页。
|
[3] |
高翔和袁凯华,2020,《中国企业制造业服务化水平的测度及演变分析》,《数量经济技术经济研究》第11期,第3~22页。
|
[4] |
郭凯明,2019,《人工智能发展、产业结构转型升级与劳动收入份额变动》,《管理世界》第7期,第60~77+202~203页。
|
[5] |
孔高文、刘莎莎和孔东民,2020,《机器人与就业——基于行业与地区异质性的探索性分析》,《中国工业经济》第8期,第80~98页。
|
[6] |
李建强、高翔和赵西亮,2020,《最低工资与企业创新》,《金融研究》第12期,第132~150页。
|
[7] |
李磊、王小霞和包群,2021,《机器人的就业效应:机制与中国经验》,《管理世界》第9期,第104~119页。
|
[8] |
刘斌和潘彤,2020,《人工智能对制造业价值链分工的影响效应研究》,《数量经济技术经济研究》第10期,第24~44页。
|
[9] |
刘啟仁和铁瑛,2020,《企业雇佣结构、中间投入与出口产品质量变动之谜》,《管理世界》第3期,第1~23页。
|
[10] |
刘维刚和倪红福,2018,《制造业投入服务化与企业技术进步:效应及作用机制》,《财贸经济》第8期,第126~140页。
|
[11] |
吕越、谷玮和包群,2020,《人工智能与中国企业参与全球价值链分工》,《中国工业经济》第5期,第80~98页。
|
[12] |
王永钦和董雯,2020,《机器人的兴起如何影响中国劳动力市场?——来自制造业上市公司的证据》,《经济研究》第12期,第159~175页。
|
[13] |
杨光和侯钰,2020,《工业机器人的使用、技术升级与经济增长》,《中国工业经济》第10期,第138~156页。
|
[14] |
赵宸宇,2021,《数字化发展与服务化转型—来自制造业上市公司的经验证据》,《南开管理评论》第2期,第149~163页。
|
[15] |
周广肃、李力行和孟岭生,2021,《智能化对中国劳动力市场的影响—基于就业广度和强度的分析》,《金融研究》第6期,第39~58页。
|
[16] |
祝树金、罗彦和段文静,2021,《服务型制造、加成率分布与资源配置效率》,《中国工业经济》第4期,第62~80页。
|
[17] |
Acemoglu, D. , and Restrepo, P., 2020, “T Robots and Jobs: Evidence from US Labor Markets”, Journal of Political Economics, 128(6),pp.2188~2244.
|
[18] |
Aghion, P. ,B. F. Jone., and C. I. Jones 2017, “Artificial Intelligence and Economic Growth”, NBER Working Paper, No.23929.
|
[19] |
Cusumano, M. A., Kahl, S. J., and Suarez, F. F,2015, “Services, Industry Evolution, and The Competitive Strategies of Product Firms”, Strategic Management Journal, 36(4),pp.559~575.
|
[20] |
D. Chor, K. Manova, and Z. Yu, 2021, “Growing Like China: Firm Performance and Global Production Lineposition”, Journal of International Economics, 130,103445.
|
[21] |
Graetz, G., and G. Michaels, 2018, “Robots at Work”, Review of Economics and Statistics, 100(5),pp.753~768.
|
[22] |
Gunter, L., Gopani, G., Angela, J., and Sabine, B, 2010, “The Relevance of Service in European Manufacturing Industries”, Journal of Service Management, 21(5),pp.715~726.
|
[23] |
Kee, H. L., and Tang, H, 2016, “Domestic Value Added in Exports: Theory and Firm Evidence from China”, American Economic Review, 106(6), pp.1402~1436.
|
[24] |
Koopman, R., Wang, Z., and Wei, S. J, 2014, “Tracing Value Added and Double Counting in Gorss Exports”, American Economic Review, 104(2), pp.459~494.
|
[25] |
Yu, M, 2015, “Processing Trade, Tariff Reductions and Firm Productivity: Evidence from Chinese Firms”, Economic Journal, 125(585),pp. 943~988.
|
|
|
|