经济下行背景下产业政策对劳动收入份额的影响研究

摘要在经济下行背景下,产业政策能否以及如何影响劳动收入份额的问题值得关注。在理论阐述产业政策对劳动收入份额影响机制的基础上,基于2006—2011年A股上市企业数据,以2009年中国“十大产业振兴规划”出台作为一次准自然实验,利用双重差分模型检验发现,产业政策能够通过提高企业融资可得性和可负担性,缓解其流动性约束,扩大雇佣规模,进而提升企业劳动收入份额。异质性检验结果显示,“十大产业振兴规划”对内向型企业、政府干预程度较强地区企业的影响更大,对不同所有制企业的影响差异较小。研究结果不仅识别出产业振兴规划与劳动收入份额之间的关系与影响机制,也为重新审视“十大产业振兴规划”的积极作用提供了经验证据。

	Service

	把本文推荐给朋友
	加入我的书架
	加入引用管理器
	Email Alert
	RSS
	作者相关文章
	刘长庚
	王宇航
	王玉喜

关键词：产业政策劳动收入份额流动性约束资本深化

Abstract： Increasing the labor income share is an important foundation for solidly promoting common prosperity. In the context of economic downturn, the question of whether and how industrial policy can affect labor income deserves attention. On the basis of theoretically expounding the impact mechanism of industrial policy on labor income share and based on the data of A-share listed companies from 2006 to 2011, this paper takes the publication of China’s top ten industries in 2009 as a quasi-natural experiment, and uses the DID model to test the influence of industrial policy on labor income share in the context of economic downturn. The results show that industrial policy can improve the availability and affordability of corporate financing, ease its liquidity constraints, expand the scale of employment, and increase the share of enterprise labor income. The heterogeneity test results show that the ten major industrial revitalization plans have a greater impact on introverted enterprises and enterprises in areas with a strong degree of government intervention, but have little impact on enterprises of different ownership. The paper not only identifies the relationship and influence mechanism between industrial revitalization planning and labor income share, but also provides empirical evidence for re-examining the positive role of ten major industrial revitalization plans.

Keywords： Industrial Policy Labor Income Share;Mobility Constraints Capital Deepening

收稿日期 2021-09-09; 接受日期 ;

基金资助:国家社会科学基金重大项目(18ZDA065);湖南省社会科学基金青年项目(20YBQ023);湖南省研究生科研创新重点项目(CX20210507)

通讯作者 王宇航(1993— ),男,山西晋城人,博士研究生,主要从事收入分配和微观计量研究。

作者简介: 刘长庚(1965— ),男,湖南益阳人,教授,博士生导师,主要从事收入分配研究;王玉喜(1990— ),男,河南濮阳人,博士,讲师,主要从事产业经济和收入分配研究。王宇航为本文通信作者。

引用本文:

刘长庚, 王宇航, 王玉喜.经济下行背景下产业政策对劳动收入份额的影响研究[J]. 经济经纬, 2022,4: 74-85

LIU Changgeng, WANG Yuhang, WANG Yuxi.A Study on the Influence of Industrial Policy on Labor Income Share in the Context of Economic Downturn[J] Economic Survey, 2022,V39(4): 74-85

链接本文:

http://www.jjjw.org.cn/CN/ 或 http://www.jjjw.org.cn/CN/Y2022/V39/I4/74

[1] 步晓宁,赵丽华,刘磊,2020. 产业政策与企业资产金融化[J].财经研究(11):78-92.
[2] 杜鹏程,王姝勋,徐舒,2021. 税收征管、企业避税与劳动收入份额:来自所得税征管范围改革的证据[J].管理世界(7):105-118.
[3] 杜鹏程,徐舒,吴明琴,2018. 劳动保护与农民工福利改善:基于新《劳动合同法》的视角[J].经济研究(3):64-78.
[4] 樊纲,王小鲁,朱桓鹏,2011. 中国市场化指数:各地区市场化相对进程2011年报告[M].北京:经济科学出版社.
[5] 江轩宇,贾婧,2021. 企业债券融资与劳动收入份额[J].财经研究(7):139-153.
[6] 林毅夫,向为,余淼杰,2018. 区域型产业政策与企业生产率[J].经济学(季刊)(2):781-800.
[7] 罗长远,陈琳,2012. 融资约束会导致劳动收入份额下降吗?——基于世界银行提供的中国企业数据的实证研究[J].金融研究(3):29-42.
[8] 毛其淋,方森辉,2020. 外资进入自由化如何影响中国制造业生产率[J].世界经济(1):143-169.
[9] 倪骁然,朱玉杰,2016. 劳动保护、劳动密集度与企业创新:来自2008年《劳动合同法》实施的证据[J].管理世界(7):154-167.
[10] 钱爱民,张晨宇,步丹璐. 2015. 宏观经济冲击、产业政策与地方政府补助[J].产业经济研究(5):73-82.
[11] 钱雪松,康瑾,唐英伦,等,2018. 产业政策、资本配置效率与企业全要素生产率:基于中国2009年十大产业振兴规划自然实验的经验研究[J].中国工业经济(8):42-59.
[12] 邵敏,包群,叶宁华,2013. 信贷融资约束对员工收入的影响:来自我国企业微观层面的经验证据[J].经济学(季刊)(3):895-912.
[13] 施新政,高文静,陆瑶,等,2019. 资本市场配置效率与劳动收入份额:来自股权分置改革的证据[J].经济研究(12):21-37.
[14] 唐松,伍旭川,祝佳,2020. 数字金融与企业技术创新:结构特征、机制识别与金融监管下的效应差异[J].管理世界(5):52-66.
[15] 王克敏,刘静,李晓溪,2017. 产业政策、政府支持与公司投资效率研究[J].管理世界(3):113-124.
[16] 王雄元,黄玉菁,2017. 外商直接投资与上市公司职工劳动收入份额:趁火打劫抑或锦上添花[J].中国工业经济(4):135-154.
[17] 项松林,魏浩,2014. 流动性约束对企业生产率的影响[J].统计研究(3):27-36.
[18] 杨继东,罗路宝,2018. 产业政策、地区竞争与资源空间配置扭曲[J].中国工业经济(12):5-22.
[19] 杨烨,谢建国,2021. 开发区设立对企业出口产品质量的影响:基于高技能人才质量匹配视角的研究[J].经济评论(2):83-102.
[20] 余明桂,范蕊,钟慧洁,2016. 中国产业政策与企业技术创新[J].中国工业经济(12):5-22.
[21] 张玉兰,崔日明,郭广珍,2020. 产业政策、贸易政策与产业升级:基于全球价值链视角[J].国际贸易问题(7):111-128.
[22] 赵彦锋,汤湘,2020.产业政策会提升并购商誉吗?[J].经济经纬(5):99-106.
[23] 钟宁桦,解咪,钱一蕾,等,2021. 全球经济危机后中国的信贷配置与稳就业成效[J].经济研究(9):21-38.
[24] 卓越,王玉喜,2019. 僵尸企业识别标准的中国适用性检验与修正:基于中国工业企业数据的分析[J].经济评论(03):123-137.
[25] 邹薇,袁飞兰,2018. 劳动收入份额、总需求与劳动生产率[J].中国工业经济(2):5-23.
[26] ACEMOGLU D,2003. Labor-and capital-augmenting technical change[J]. Journal of the european economic association,1(1): 1-37.
[27] ALDER S,SHAO L,ZILIBOTTI F,2016. Economic reforms and industrial policy in a panel of Chinese cities[J]. Journal of economic growth,21(4): 305-349.
[28] AZIZ,JAHANGIR,CUI,LI,2007. Explaining China’s low consumption: The neglected role of household income[Z]. Available at SSRN 1007930.
[29] CHEN Z,PONCET S,XIONG R,2017. Inter-industry relatedness and industrial-policy efficiency: evidence from China’s export processing zones[J]. Journal of comparative economics,45(4): 809-826.
[30] ERAUSKIN I,2020. The labor share and income inequality: some empirical evidence for the period 1990-2015[J].Applied economic analysis.
[31] FELDSTEIN M,2008. Did wages reflect growth in productivity?[J]. Journal of policy modeling,30(4): 591-594.
[32] GIROUD X,MUELLER H M,2017. Firm leverage,consumer demand,and employment losses during the Great Recession[J]. The quarterly journal of economics,132(1): 271-316.
[33] LU Y,TAO Z,ZHU L,2017. Identifying FDI spillovers[J]. Journal of international economics,107(6):75-90.
[34] LU Y,WANG J,ZHU L,2019. Place-based policies,creation,and agglomeration economies: evidence from China’s economic zone program[J]. American economic journal: economic policy,11(3): 325-60.
[35] MAROUANI MA,NILSSON B,2016. The labor market effect of skill-biased technological change in Malaysia[J].Economic modelling,57:55-57.
[36] QIAN N,2008. Missing women and the price of tea in China: The effect of sex-specific earnings on sex imbalance[J]. The quarterly journal of economics,123(3): 1251-1285.
[37] WANG X,ZOU H,2018. Study on the effect of wind power industry policy types on the innovation performance of different ownership enterprises: evidence from China[J]. Energy policy,122: 241-252.