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金融研究  2021, Vol. 496 Issue (10): 59-77    
  本期目录 | 过刊浏览 | 高级检索 |
劳动力成本对中国加工贸易规模及转型升级的影响
毛其淋, 盛斌
南开大学跨国公司研究中心, 天津 300071
The Effects of Labor Costs on the Scale and Upgrading of China's Processing Trade
MAO Qilin, SHENG Bin
Center for Transnationals' Studies, Nankai University
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摘要 本文以中国《最低工资规定》的出台作为准自然实验,基于2000-2013年企业层面微观数据,采用双重差分法系统研究了劳动力成本上升对企业加工贸易规模及转型升级的影响。本文发现,劳动力成本上升虽然缩小了企业加工贸易规模,但通过倒逼机制促进了加工贸易企业转型升级。进一步的机制检验表明,劳动力成本上升促进了加工贸易企业增加固定资产投资、扩大研发创新和在职培训的投入力度、提高生产效率,进而推动了企业加工贸易升级。最后,本文还在城市层面研究了劳动力成本、资源配置与加工贸易升级的关系,结果表明,出口市场份额再配置是劳动力成本上升促进城市加工贸易升级的重要途径:一方面,劳动力成本上升促进了出口市场份额向竞争力较强的存续加工企业再配置,另一方面,劳动力成本上升加速了低竞争力加工企业退出。本文一方面丰富了评估最低工资经济效应的研究,另一方面有助于理解中国加工贸易转型升级背后的驱动因素。
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毛其淋
盛斌
关键词:  劳动力成本  加工贸易升级  倒逼机制  双重差分法    
Summary:  In 2004, China's Ministry of Labor and Social Security implemented minimum wage regulations that extended the minimum wage system to all parts of the country. This significantly has increased the labor costs of firms and gradually removed the low-cost dividends that processing trade firms have traditionally enjoyed. In recent years, the transformation and upgrading of processing trade has become a focus issue, and the report of the 17th National Congress of the Communist Party of China clearly states that the transformation of the growth mode of foreign trade must be accelerated based on quality, the import and export structure must be adjusted, and the transformation and upgrading of processing trade must be increased. Therefore, it is theoretically and practically valuable to study the scale change, transformation, and upgrading of China's processing trade from the perspective of increases in minimum wage and labor costs.
To this end, this paper performs a difference-in-differences analysis of the effects of labor cost or minimum wage increases on the scale and upgrading of processing trade based on the micro data of Chinese firms from 2000 to 2013 and by treating the promulgation of China's minimum wage regulation as a quasi-natural experiment. This leads to three main findings. First, although labor cost increases significantly reduce the scale of processing trade, they promote the transformation and upgrading of processing trade firms via a backpressure mechanism. Second, mechanism tests show that labor cost increases encourage processing firms to increase their fixed investments, increase on-the-job training and research and development expenditures, and improve production efficiency, which collectively promote the development of processing firms. Third, a study of the relationship between labor cost, resource allocation, and the upgrading of processing trade at the urban level reveals that improvements in the efficiency of export market-share allocation is a key channel via which labor cost increases stimulate increases in urban processing trade.
This study has important policy implications. For a long time, cheap labor costs have underpinned the rapid development of China's processing trade. However, China's processing trade is typically characterized by large quantity and low quality, and it often lacks its own brand and core technology. In addition, most companies involved in processing trade are original equipment manufacturers rather than finished item manufacturers, and export expansion is mainly supported by a large number of low value-added primary processing products. This paper finds that although labor cost increases do not contribute to the expansion of processing trade scale, the backward force mechanism significantly promotes the upgrading of firm processing trade and improves the efficiency of resource reallocation, which promotes the upgrading of urban processing trade. This shows that China may slightly increase the minimum wage standard and improve the wage security system to encourage processing trade firms to reduce or abandon their excessive dependence on low-cost labor strategies, and to strengthen research and development innovation and improve efficiency to avoid the low technology trap. These measures will promote the transformation and upgrading of processing trade firms and ultimately enhance their position in the global value chain and capture value-added export opportunities.
The main contributions of this paper are as follows. First, this paper may be the first to systematically and comprehensively examine the effect of the minimum wage system and labor cost increases on China's processing trade. The findings of this paper therefore enrich the literature on the economic effects of minimum wage law. Second, in the context of the open economy and the global value chain, this paper devises a comprehensive index and evaluation system for studying the transformation and upgrading of processing trade, and thoroughly probes the transmission mechanism underlying the transformation and upgrading of processing trade driven by labor-cost increases. Third, this paper investigates the micro-level effects of labor cost increases on the upgrading of firms' processing trade and the macro-level effects of these increases on the transformation and upgrading of urban processing trade. It thus enriches the literature on the reallocation of resources that occurs in response to increases in the minimum wage or labor costs.
Keywords:  Labor Costs    Upgrading of Processing Trade    Reversed Transmission Mechanism    Difference in Difference
JEL分类号:  J30   F14   F16  
基金资助: * 本文感谢国家自然科学基金项目“贸易开放与我国制造业产能利用率:因果效应、机制及对策研究”(72073074)、国家自然科学基金项目“中国外资进入自由化、创新驱动与制造业企业转型升级研究”(71773055)、南开大学亚洲研究中心项目“劳动力成本对中国加工贸易规模及转型升级的影响研究”(AS2105)、霍英东教育基金会高等院校青年教师基金项目“人力资本对中国企业创新与对外贸易转型升级的影响研究”(171075)、南开大学文科发展基金项目“外资政策动态调整与中国制造业产能过剩问题研究”(ZB21BZ0203)、国家社会科学基金重大项目“新旧动能转换机制设计及路径选择研究”(18ZDA078)资助。感谢匿名审稿人的宝贵意见,文责自负。
通讯作者:  盛 斌,经济学博士,教授,南开大学跨国公司研究中心、经济学院,E-mail:shengbin@nankai.edu.cn.   
作者简介:  毛其淋,经济学博士,教授,南开大学跨国公司研究中心、经济学院,E-mail:maoqilin@nankai.edu.cn.
引用本文:    
毛其淋, 盛斌. 劳动力成本对中国加工贸易规模及转型升级的影响[J]. 金融研究, 2021, 496(10): 59-77.
MAO Qilin, SHENG Bin. The Effects of Labor Costs on the Scale and Upgrading of China's Processing Trade. Journal of Financial Research, 2021, 496(10): 59-77.
链接本文:  
http://www.jryj.org.cn/CN/  或          http://www.jryj.org.cn/CN/Y2021/V496/I10/59
[1] 丁守海,2010,《最低工资管制的就业效应分析——兼论〈劳动合同法〉的交互影响》,《中国社会科学》第1期,第85~102页。
[2] 杜运苏,2020,《生产性服务业集聚与企业出口国内附加值率——来自中国的经验证据》,《山西大学学报(哲学社会科学版)》第5期,第132~144页。
[3] 郭晶和杨艳,2010,《经济增长、技术创新与我国高技术制造业出口复杂度研究》,《国际贸易问题》第12期,第91~96页。
[4] 黄建忠、胡懿和赵玲,2017,《加工贸易转型升级的路径研究——基于劳动力成本上升的视角》,《国际商务研究》第2期,第5~21页。
[5] 孔东民、徐茗丽和孔高文,2017,《企业内部薪酬差距与创新》,《经济研究》第10期,第144~157页。
[6] 李晨,2010,《我国加工贸易转型升级的路径选择》,《产业经济研究》第4期,第82~90页。
[7] 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。
[8] 林炜,2013,《企业创新激励:来自中国劳动力成本上升的解释》,《管理世界》第10期,第95~105页。
[9] 刘贯春、陈登科和丰超,2017,《最低工资标准的资源错配效应及其作用机制分析》,《中国工业经济》第7期,第62~80页。
[10] 隆国强和张丽平,2012,《推进加工贸易转型升级的方向与政策》,《开放导报》第6期,第14~18页。
[11] 马光明,2014,《汇率/工资冲击、趋势性与我国加工贸易转型》,《国际贸易问题》第12期,第80~90页。
[12] 马述忠、张洪胜和王笑笑,2017,《融资约束与全球价值链地位提升——来自中国加工贸易企业的理论与证据》,《中国社会科学》第1期,第83~107页。
[13] 马双和邱光前,2016,《最低工资对中国劳动密集型出口产品价格的影响》,《世界经济》第11期,第80~103页。
[14] 马双、张劼和朱喜,2012,《最低工资对中国就业和工资水平的影响》,《经济研究》第5期,第132~146页。
[15] 毛其淋,2019,《人力资本推动中国加工贸易升级了吗》,《经济研究》第1期,第52~67页。
[16] 盛斌和毛其淋,2017,《进口贸易自由化是否影响了中国制造业出口技术复杂度》,《世界经济》第12期,第52~75页。
[17] 孙楚仁、田国强和章韬,2013,《最低工资标准与中国企业的出口行为》,《经济研究》第2期,第42~54页。
[18] 杨娟和李实,2016,《最低工资提高会增加农民工收入吗》,《经济学(季刊)》第4期,第1563~1580页。
[19] 杨向阳、赵彬彬和朱怡铮,2021,《企业出口、融资约束与研发投入研究》,《世界经济与政治论坛》第2期,第110~134页。
[20] 于瀚和闫岩,2008,《我国加工贸易转型升级要素分析》,《国际贸易》第12期,第20~22页。
[21] 张晶、陆毅和杨治,2014,《我国最低工资水平对民营企业创新行为的影响》,《经济研究》工作论文。
[22] 赵瑞丽和孙楚仁,2015,《最低工资会降低城市的出口复杂度吗》,《世界经济文汇》第6期,第43~75页。
[23] 赵瑞丽、孙楚仁和陈勇兵,2016,《最低工资与企业出口持续时间》,《世界经济》第7期,第97~120页。
[24] 诸竹君、黄先海、宋学印、胡馨月和王煌,2017,《劳动力成本上升、倒逼式创新与中国企业加成率动态》,《世界经济》第8期,第53~77页。
[25] Acemoglu, D., and Pischke, J. 1999. “Minimum Wages and On-the-job Training”, NBER Working Papers No.7184.
[26] Amiti, M., and Konings, J. 2007. “Trade Liberalization, Intermediate Inputs, and Productivity: Evidence from Indonesia”, American Economic Review, 97(5):1611~1638.
[27] Bartik, T. J. 1991. “Who Benefits from State and Local Economic Development Policies?”, Kalamazoo, MI: W.E. Upjohn Institute for Employment Research.
[28] Draca, M., Machin, S., and Reenen, J. V. 2011. “Minimum Wages and Firm Profitability”, American Economic Journal: Applied Economics, 3 (1):129~151.
[29] Flinn, C. J. 2006. “Minimum Wage Effects on Labor Market Outcomes under Search, Matching, and Endogenous Contact Rates”, Econometrica, 74(4):1013~1062.
[30] Gan, L., Hernandezm, M. A., and Ma, S. 2016. “The Higher Costs of Doing Business in China: Minimum Wages and Firms' Export Behavior”, Journal of International Economics, 100:81~94.
[31] Liu, Q., and Qiu, L. D.2016. “Intermediate Input Imports and Innovations: Evidence from Chinese Firms' Patent Filings”, Journal of International Economics, 103:166~183.
[32] Liu, Q., and Lu, Y. 2015. “Firm Investment and Exporting: Evidence from China's Value-Added Tax Reform”, Journal of International Economics, 97(2):392~403.
[33] Lu, Y., Tao, Z., and Zhu, L. 2017. “Identifying FDI Spillovers”, Journal of International Economics, 107(7):75~90.
[34] Mayneris, F., Poncet, S., and Zhang, T. 2018. “Improving or Disappearing: Firm-level Adjustments to Minimum Wages in China”, Journal of Development Economics, 135:20~42.
[35] Melitz, M. J., and Polanec, S. 2015. “Dynamic Olley-Pakes Productivity Decomposition with Entry and Exit.” Rand Journal of Economics, 46 (2):362~375.
[36] Neumark, D., and Wascher, W. L. 2009. “Minimum Wages”, MIT Press.
[37] Ni, J., G. Ni, and Yao, X. 2011. “Impact of Minimum Wages on Employment”, Chinese Economy, 44 (1):18~38.
[38] Olley, S., and Pakes, A. 1996. “The Dynamics of Productivity in the Telecommunications Equipment Industry”, Econometrica, 64(6):1263~1297.
[39] Pischke, J. 2004. “Labor Market Institutions, Wages, and Investment: Review and Implications”, Cesifo Economic Studies, 51 (1):47~75.
[40] Shapiro, C., and Stiglitz, J. E. 1984. “Equilibrium Unemployment as a Worker Discipline Device”, American Economic Review, 74(3):433~444.
[41] Stigler, G. J. 1946. “The Economics of Minimum Wage Legislation”, American Economic Review, 36(3):358~365.
[42] Wang, J., and Gunderson, M. 2011. “Minimum Wage Impacts in China: Estimates from a Prespecified Research Design, 2000~2007”, Contemporary Economic Policy, 29 (3):392~406.
[43] Yu, M. 2015. “Processing Trade, Tariff Reductions and Firm Productivity: Evidence from Chinese Firms”, Economic Journal, 125 (585):943~988.
[44] Zhu, S., and Fu, X. 2013. “Drivers of Export Upgrading”, World Development, 51:221~233.
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