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金融研究  2022, Vol. 505 Issue (7): 154-170    
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“一带一路”建设对要素配置效率的影响——基于中国上市工业企业的研究
罗长远, 曾帅
复旦大学世界经济研究所,上海 200433;
复旦大学经济学院,上海 200433
The Impact of the Belt & Road Initiative on Factor Allocation Efficiency: Evidence from Listed Industrial Enterprises in China
LUO Changyuan, ZENG Shuai
Institute of World Economy, Fudan University;
School of Economics, Fudan University
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摘要 本文借鉴Hsieh and Klenow(2009)的理论框架,采用2010—2018年中国上市工业企业数据,使用双重差分方法,考察“一带一路”建设对要素配置效率的影响。结果表明,从平均意义上看,“一带一路”建设显著改善了位于重点对接省份企业的劳动配置效率,但对资本配置效率的作用尚不明显。机制分析结果表明,“一带一路”建设主要通过深化重点对接省份的开放水平,尤其是促进它们的双向直接投资规模,改善劳动要素配置效率。进一步研究发现,要素流动表现出“劳动往高处走,资本往低处流”的特征,导致劳动和资本的配置效率出现“分野”:在重点对接“一带一路”的省份,劳动生产率高的企业配置了更多的劳动要素,劳动配置效率得以改善;但由于市场资源配置能力尚未得到充分释放,资本生产率高的企业在资本要素获取上还未体现出明显优势。
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罗长远
曾帅
关键词:  “一带一路”建设  要素配置效率  双重差分法    
Summary:  China put forward the Belt & Road Initiative in 2013, which not only established a new approach to cooperation with the international community but also created new opportunities for China to open up and promote economic transformation. To realize the Belt & Road Initiative, it is important to improve domestic factor allocation efficiency and to accelerate “dual circulation” development. The research question is whether the Belt & Road Initiative can improve factor allocation efficiency. Previous studies have evaluated the impact of the Belt & Road Initiative from different angles, such as opening up, China's international reputation, financial constraints, and R&D, among others. However, there has been a lack of empirical analysis from the perspective of factor allocation efficiency.
Referring to the framework of Hsieh and Klenow(2009), this paper relies on data from listed industrial enterprises in China from 2010 to 2018 and uses the difference-in-differences method to study the impact of the Belt & Road Initiative on factor allocation efficiency. The estimation results show that the Belt & Road Initiative significantly improved the labor allocation efficiency of enterprises in key provinces but had no significant impact on capital allocation efficiency. The results of the extended analyses show that the Belt & Road Initiative improved labor allocation efficiency mainly by increasing the openness of key provinces, and especially by promoting their FDI and OFDI. The results of further studies confirm the adage that “labor goes high and capital flows low”: in the key provinces, enterprises with higher labor productivity have more labor factors and their labor allocation efficiency is improved. However, as the market's ability to allocate resources has not been fully realized, enterprises with higher capital productivity do not have more capital factors, and capital allocation efficiency thus has no significant improvement effect.
Improving factor allocation efficiency is vital for resolving the deep-seated problems of the Chinese economy, and the Belt & Road Initiative represents a major opportunity to do so. Based on the results of this study, we propose four policy suggestions. The first is to reinforce the positive role of the Belt & Road Initiative on the Chinese economy. While engaging in production capacity cooperation with partner countries along the Belt & Road, it is also necessary to improve domestic resource allocation efficiency and establish a new development pattern. Second, relevant regions should participate in the Belt & Road Initiative according to their own comparative advantages and should resort to globalization to resolve the difficulties and challenges of economic development. Third, relevant regions and industries should remove institutional barriers and allow the market to dictate resource allocation. It is necessary to let the market and globalization jointly promote efficient resource allocation. Fourth, the government should accelerate capital market reform, eliminate ownership and scale discrimination, facilitate enterprises' financing channels, and fulfill the potential of the Belt & Road Initiative for improving resource allocation efficiency.
Keywords:  The Belt & Road Initiative    Factor Allocation Efficiency    Difference-in-Differences
JEL分类号:  D24   F10   F20  
基金资助: * 本文得到国家社会科学基金重大项目(21&ZD075)、国家自然科学基金面上项目(71873037)和国家社会科学基金一般项目(20BJL059)的资金支持。论文的初稿在厦门大学的学术会议上报告过,与会者提出了建设性的评论,两位匿名审稿人提出了宝贵的修改意见,刘子琦提供了出色的助研工作,一并表示感谢,文责自负。
作者简介:  罗长远,经济学博士,教授,复旦大学世界经济研究所,E-mail:chyluo@fudan.edu.cn.
曾 帅,经济学博士研究生,复旦大学经济学院,E-mail:szeng18@fudan.edu.cn.
引用本文:    
罗长远, 曾帅. “一带一路”建设对要素配置效率的影响——基于中国上市工业企业的研究[J]. 金融研究, 2022, 505(7): 154-170.
LUO Changyuan, ZENG Shuai. The Impact of the Belt & Road Initiative on Factor Allocation Efficiency: Evidence from Listed Industrial Enterprises in China. Journal of Financial Research, 2022, 505(7): 154-170.
链接本文:  
http://www.jryj.org.cn/CN/  或          http://www.jryj.org.cn/CN/Y2022/V505/I7/154
[1] 白俊红和刘宇英,2018,《对外直接投资能否改善中国的资源错配》,《中国工业经济》第1期,第60~78页。
[2] 才国伟和杨豪,2019,《外商直接投资能否改善中国要素市场扭曲》,《中国工业经济》第10期,第42~60页。
[3] 简泽、徐杨、吕大国、卢任和李晓萍,2018,《中国跨企业的资本配置扭曲:金融摩擦还是信贷配置的制度偏向》,《中国工业经济》第11期,第24~41页。
[4] 李建军和李俊成,2020,《“一带一路”倡议、企业信贷融资增进效应与异质性》,《世界经济》第2期,第3~24页。
[5] 李捷瑜和江舒韵,2009,《市场价值、生产效率与上市公司多元化经营:理论与证据》,《经济学(季刊)》第3期,第1047~1064页。
[6] 李青原、李江冰、江春和Kevin X. D. Huang,2013,《金融发展与地区实体经济资本配置效率:来自省级工业行业数据的证据》,《经济学(季刊)》第2期,第527~548页。
[7] 刘莉亚、金正轩、何彦林、朱小能和李明辉,2018,《生产效率驱动的并购:基于中国上市公司微观层面数据的实证研究》,《经济学(季刊)》第4期,第1329~1360页。
[8] 刘志彪和吴福象,2018,《“一带一路”倡议下全球价值链的双重嵌入》,《中国社会科学》第8期,第17~32页。
[9] 卢盛峰、董如玉和叶初升,2021,《“一带一路”倡议促进了中国高质量出口吗:来自微观企业的证据》,《中国工业经济》第3期,第80~98页。
[10] 吕越、陆毅、吴嵩博和王勇,2019,《“一带一路”倡议的对外投资促进效应:基于2005—2016年中国企业绿地投资的双重差分检验》,《经济研究》第9期,第187~202页。
[11] 聂辉华和贾瑞雪,2011,《中国制造业企业生产率与资源误置》,《世界经济》第7期,第27~42页。
[12] 裴长洪和刘洪愧,2020,《中国外贸高质量发展:基于习近平百年大变局重要论断的思考》,《经济研究》第5期,第4~20页。
[13] 盛斌和黎峰,2016,《“一带一路”倡议的国际政治经济分析》,《南开学报(哲学社会科学版)》第1期,第52~64页。
[14] 宋弘、罗长远和栗雅欣,2021,《对外开放新局面下的中国国家形象构建:来自“一带一路”建设的经验研究》,《经济学(季刊)》第1期,第241~262页。
[15] 孙浦阳、陈璐瑶和刘伊黎,2020,《服务技术前沿化与对外直接投资:基于服务企业的研究》,《世界经济》第8期,第148~169页。
[16] 唐雪松、周晓苏和马如静,2010,《政府干预、GDP增长与地方国企过度投资》,《金融研究》第8期,第33~48页。
[17] 王灵桂,2021,《携手在新起点上高质量共建“一带一路”》,《中国工业经济》第12期,第5~10页。
[18] 王文和牛泽东,2019,《资源错配对中国工业全要素生产率的多维影响研究》,《数量经济技术经济研究》第3期,第20~37页。
[19] 袁志刚和解栋栋,2011,《中国劳动力错配对TFP的影响分析》,《经济研究》第7期,第4~17页。
[20] 张杰、周晓艳和李勇,2011,《要素市场扭曲抑制了中国企业R&D?》,《经济研究》第8期,第78~91页。
[21] 张天华和张少华,2016,《偏向性政策、资源配置与国有企业效率》,《经济研究》第2期,第126~139页。
[22] Angrist, J. D. and J. S. Pischke. 2008. “Mostly Harmless Econometrics: An Empiricist's Companion”, Princeton University Press.
[23] Bau, N. and A. Matray. 2020. “Misallocation and Capital Market Integration: Evidence from India”, NBER Working Paper, No.27955.
[24] Bertrand, M., E. Duflo, and S. Mullainathan. 2004. “How Much should We Trust Differences-in-differences Estimates”, Quarterly Journal of Economics, 119(1): 249~275.
[25] Brandt, L., T. Tombe, and X. Zhu. 2013. “Factor Market Distortions across Time, Space and Sectors in China”, Review of Economic Dynamics, 16(1): 39~58.
[26] Broda, C. and D. E. Weinstein. 2006. “Globalization and the Gains from Variety”, Quarterly Journal of Economics, 121(2): 541~585.
[27] de Soyres, F., A. Mulabdic, S. Murray, N. Rocha and M. Ruta. 2019. “How Much will the Belt and Road Initiative Reduce Trade Costs”, International Economics, 159: 151~164.
[28] Ding, S., W. Jiang, and P. Sun. 2016. “Importan t Competition, Dynamic Resource Allocation and Productivity Dispersion: Micro-Level Evidence from China”, Oxford Economic Papers, 68(4): 994~1015.
[29] Du, J. and Y. Zhang. 2018. “Does One Belt One Road Initiative Promote Chinese Overseas Direct Investment.” China Economic Review, 47: 189~205.
[30] Fungacova, Z., A. Shamshur, and L. Weill. 2017. “Does Bank Competition Reduce Cost of Credit? Cross-country Evidence from Europe”, Journal of Banking & Finance, 83: 104~120.
[31] Gentzkow, M. 2006. “Television and Voter Turnout”, Quarterly Journal of Economics, 121(3): 931~972.
[32] Hsieh, C. T. and P. J. Klenow. 2009. “Misallocation and Manufacturing TFP in China and India”, Quarterly Journal of Economics, 124(4): 1403~1448.
[33] Li, P., Y. Lu, and J. Wang. 2016. “Does Flattening Government Improve Economic Performance? Evidence from China”, Journal of Development Economics, 123: 18~37.
[34] Luo, C., Q. Chai, and H. Chen. 2019. “‘Going Global' and FDI Inflows in China: ‘One Belt & One Road' Initiative as a Quasi-natural Experiment”, The World Economy, 42(6): 1654~1672.
[35] Pavcnik, N. 2002. “Trade Liberalization, Exit, and Productivity Improvements: Evidence from Chilean Plants”, The Review of Economic Studies, 69(1): 245~276.
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