Please wait a minute...
金融研究  2023, Vol. 517 Issue (7): 57-76    
  本期目录 | 过刊浏览 | 高级检索 |
中国就业岗位创造的财政成本评估
李明, 张璿璿, 郑礼明
对外经济贸易大学国际经济贸易学院, 北京 100029;
首都经济贸易大学财政税务学院, 北京 100070;
中国石油集团经济技术研究院, 北京 100724
Assessing the Fiscal Costs of Job Creation in China
LI Ming, ZHANG Xuanxuan, ZHENG Liming
School of International Trade and Economics, University of International Business and Economics;
School of Public Finance and Taxation, Capital University of Economics and Business;
Economics & Technology Research Institute, China National Petroleum Corporation
下载:  PDF (823KB) 
输出:  BibTeX | EndNote (RIS)      
摘要 就业是民生之本、财富之源,财政是国家治理的基础和重要支柱。但财政政策在稳定和扩大就业中能发挥怎样的作用,还有争议。凝聚共识的关键,一是从统计上考察政策对就业的影响,验证政策是否具有统计显著性,二是评估创造单个就业岗位的财政成本有多大,通过考察投入经济性判断政策可行性。为评估我国财政政策促就业的作用空间,借助2014年实施的固定资产加速折旧政策冲击,利用2010—2016年地级市面板数据,本文在评估减税就业效应的基础上,核算了创造单个就业岗位的财政成本。研究发现,加速折旧显著促进了就业,核算表明,新创造一个就业岗位所需税式支出不超过2.81万元,在2014年职工平均工资的60%内,总体低于发达国家,但已然不小。这意味着我国通过财政政策稳保就业仍有空间,但要做好跟踪评估。本文采用较为严谨的方式,评估了我国就业岗位创造的财政成本,评估结果也为相关预算编制提供了支出标准参考。
服务
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章
李明
张璿璿
郑礼明
关键词:  就业吸纳能力  就业乘数  财政成本  绩效评估    
Summary:  This paper explores whether the current fiscal inputs are working as they should and if the policy implementation costs are too large (i.e., the input economics). In exploring these issues, one of the key tasks is to assess the fiscal cost of creating jobs under the current labor market conditions. This paper assesses the feasibility of fiscal policies by analyzing the input economics.
To assess the fiscal cost of job creation in China and evaluate the role of fiscal policy in promoting employment in China, this paper uses the Accelerated Depreciation of Fixed Assets Policy for empirical analysis. This policy was issued because the slowdown of investment growth in the manufacturing industry after 2014 hindered firms' transformation and upgrades. This slowdown also impeded a development goal, that is, to accelerate the transformation of economic development patterns and speed up the construction of an innovative country, which was issued by the Third Plenary Session of the 18th Central Committee of the Communist Party of China in 2013. This fiscal policy specifies that enterprises' new fixed assets in six industries can adopt an accelerated depreciation method after January 1, 2014. These six industries comprise biopharmaceutical manufacturing; specialized equipment manufacturing; manufacturing railway, vessel, aerospace, and other transportation equipment; manufacturing computers, communication equipment, and other electronic equipment; manufacturing instruments and meters; and information transmission, software, and information technology services. Specifically, the newly acquired instruments and equipment for all enterprises in the above six industries after January 1, 2014 (including self-built materials), with a unit value not exceeding 1 million yuan, allowing a one-time charge to current costs and expenses, deducted in the calculation of taxable income, no longer divided into years to calculate depreciation are considered. The unit price of these newly acquired instruments and equipment with a value of more than 1 million yuan can be depreciated over a shorter period or by using an accelerated depreciation method. If a shorter depreciation period method is applied, the minimum depreciation period cannot be less than 60% of the minimum depreciation period as prescribed in the Corporate Income Tax Law. If an accelerated depreciation method is applied, the double-declining balance or sum-of-years-digits depreciation methods can be used.
Using the quasi-natural experiment of the Accelerated Depreciation Policy, this paper uses 2010-2016 panel data from about 285 prefecture-level cities and the difference-in-differences method to assess the impact of tax cuts on employment and calculate the fiscal costs required to create new jobs. This paper finds that tax cuts generally increase employment. Regions that experienced hard economic shocks before the implementation of the policy experienced significant employment growth, suggesting that the policy could stabilize and expand employment. Using regression results, this paper calculates the policy cost and the number of jobs created by the policy in our preferred situation. The findings show that an employment multiplier for taxes is about 3.56; that is, for every 100,000 yuan in tax cuts, about 3.56 jobs are created, which is equal to a “cost per job” of 28,100 yuan (at 2014 prices). This result accounts for about 60% of the average wage level in 2014. Although this cost is generally lower than that in developed countries, it is not small considering China's national conditions. In the short term, fiscal policies can be used to increase economic growth and employment. However, it is necessary to make an overall plan for using funds, implementing performance evaluations, and preparing for future policy adjustments.
This paper makes the following contributions to the literature. First, this is one of the first papers to adopt a standardized, rigorous approach to assess the fiscal cost of job creation in China, which is rich in theoretical and applied value. While existing studies focus on examining the significance of the employment effects of fiscal policies in China statistically, this paper further assesses the fiscal cost of individual job creation. On the one hand, this provides theoretical support for China to continue to stabilize and expand employment through fiscal policies. On the other hand, fiscal expenditure standards are the basis for fiscal budgeting and the cost calculation in this paper also provides references for employment-related policies and project budgeting. Second, this paper uses macro data to examine the employment effects of fiscal policy, which overcoming some limitations of micro-firm samples. The results show major improvements in two aspects: most micro-firm databases mainly include large firms and the findings cannot be easily extrapolated to the whole market players, and studies based on micro-firm samples mainly focus on the effects of policies on incumbents, which cannot capture the changes in firms entries or exits at the extensive margin and ignores the spillover effects due to industry and supply chain linkages. Using macro data at the regional level, this paper improves the reliability and external validity of the findings in the literature.
Keywords:  Absorptive Capacity    Employment    Job Multiplier    Fiscal Cost    Performance Evaluation
JEL分类号:  H30   E24   E62  
基金资助: * 本文感谢国家社科基金重大项目(批准号19ZDA072)、国家社科基金一般项目(批准号18BJY216)和北京社科基金重点项目(批准号21DTR012)的资助。感谢匿名审稿人的宝贵意见,文责自负。
通讯作者:  张璿璿,经济学博士,讲师,首都经济贸易大学财政税务学院,E-mail:zhangxxuibe@163.com.   
作者简介:  李 明,经济学博士,教授,对外经济贸易大学国际经济贸易学院,E-mail:lamenfdren@126.com.
郑礼明,经济学博士,经济师,中国石油集团经济技术研究院,E-mail:zhliming15@163.com.
引用本文:    
李明, 张璿璿, 郑礼明. 中国就业岗位创造的财政成本评估[J]. 金融研究, 2023, 517(7): 57-76.
LI Ming, ZHANG Xuanxuan, ZHENG Liming. Assessing the Fiscal Costs of Job Creation in China. Journal of Financial Research, 2023, 517(7): 57-76.
链接本文:  
http://www.jryj.org.cn/CN/  或          http://www.jryj.org.cn/CN/Y2023/V517/I7/57
[1]陈诗一,2011,《中国工业分行业统计数据估算:1980—2008》,《经济学(季刊)》第4期,第735~776页。
[2]陈晓光,2013,《增值税有效税率差异与效率损失——兼议对“营改增”的启示》,《中国社会科学》第8期,第67~84页。
[3]陈钊和王旸,2016,《“营改增”是否促进了分工:来自中国上市公司的证据》,《管理世界》第3期,第36~45/59页。
[4]范子英和彭飞,2017,《“营改增”的减税效应和分工效应:基于产业互联的视角》,《经济研究》第4期,第82~95页。
[5]郭长林,2018,《财政政策扩张、异质性企业与中国城镇就业》,《经济研究》第5期,第88~102页。
[6]郭新强和胡永刚,2012,《中国财政支出与财政支出结构偏向的就业效应》,《经济研究》第S2期,第5~17页。
[7]韩晓梅、龚启辉和吴联生,2016,《薪酬抵税与企业薪酬安排》,《经济研究》第10期,第140~154页。
[8]李永友和严岑,2018,《服务业“营改增”能带动制造业升级吗?》,《经济研究》第4期,第18~31页。
[9]刘啟仁、赵灿和黄建忠,2019,《税收优惠、供给侧改革与企业投资》,《管理世界》第1期,第78~96/114页。
[10]毛捷、赵静和黄春元,2014,《增值税全面转型对投资和就业的影响——来自2008—2009年全国税收调查的经验证据》,《财贸经济》第6期,第14~24页。
[11]聂辉华、方明月和李涛,2009,《增值税转型对企业行为和绩效的影响——以东北地区为例》,《管理世界》第5期,第17~35页。
[12]申广军、陈斌开和杨汝岱,2016,《减税能否提振中国经济?——基于中国增值税改革的实证研究》,《经济研究》第11期,第70~82页。
[13]许伟和陈斌开,2016,《税收激励和企业投资——基于2004~2009年增值税转型的自然实验》,《管理世界》第5期,第9~17页。
[14]王贝贝、陈勇兵和李振,2022,《减税的稳就业效应:基于区域劳动力市场的视角》,《世界经济》第7期,第98~125页。
[15]王君斌和刘河北,2021,《提高出口退税能“稳就业”和“稳外贸”吗?》,《金融研究》第12期,第152~169页。
[16]王跃堂、王国俊和彭洋,2012,《控制权性质影响税收敏感性吗?——基于企业劳动力需求的检验》,《经济研究》第4期,第52~63页。
[17]Acconcia, A., G. Corsetti, and S. Simonelli. 2014. “Mafia and Public Spending: Evidence on the Fiscal Multiplier from a Quasi-Experiment”, American Economic Review, 104(7): 2185~2209.
[18]Azoulay, P., J. Zivin, D. Li, and B. N. Sampat. 2019. “Public R&D Investments and Private-sector Patenting: Evidence from NIH Funding Rules”, The Review of Economic Studies, 86(1): 117~152.
[19]Bohn, H. 2013. “Comment on ‘The American Recovery and Reinvestment Act: Solely a Government Jobs Program?’ by Conley and Dupor”, Journal of Monetary Economics, 60: 550~553.
[20]Cahuc, P., S. Carcillo, and T. Le Barbanchon. 2019. “The Effectiveness of Hiring Credits”, The Review of Economic Studies, 86(2): 593~626.
[21]Chodorow-Reich, G., L. Feiveson, Z. Liscow, and W. G. Woolston. 2012. “Does State Fiscal Relief During Recessions Increase Employment? Evidence from the American Recovery and Reinvestment Act”, American Economic Journal: Economic Policy, 4(3): 118~145.
[22]Chirinko, R. S., and D. J. Wilson. 2014. “Job Creation Tax Credits: Still Worth Consideration?”, Employment Research, 21(23): 4~6.
[23]Cohen, L., J. Coval, and C. Malloy. 2011. “Do Powerful Politicians Cause Corporate Downsizing?”, Journal of Political Economy, 119(6): 1015~60.
[24]Conley, T. G., and B. Dupor. 2013. “The American Recovery and Reinvestment Act: Solely a Government Jobs Program?”, Journal of Monetary Economics, 60(5): 535~49.
[25]Criscuolo, C., R. Martin, H. G. Overman, and J. V. Reenen. 2019. “Some Causal Effects of an Industrial Policy”, American Economic Review, 109(1): 48~85.
[26]Feyrer, J., and B. Sacerdote. 2011. “Did the Stimulus Stimulate? Real Time Estimates of the Effects of the American Recovery and Reinvestment Act”, NBER Working Paper, No.16759.
[27]Garrett, D. G., E. C. Ohrn, and J. C. Serrato. 2020. “Tax Policy and Local Labor Market Behavior”, American Economic Review: Insights, 2(1): 83~100.
[28]Hausman, J. K. 2016. “Fiscal Policy and Economic Recovery: The Case of the 1936 Veterans' Bonus”, American Economic Review, 106(4): 1100~1143.
[29]House, C. L., and M. D. Shapiro. 2008. “Temporary Investment Tax Incentive: Theory with Evidence from Bonus Depreciation”, American Economic Review, 98(3): 753~792.
[30]Kraay, A. 2012. “How Large is the Government Spending Multiplier? Evidence from World Bank Lending”, The Quarterly Journal of Economics, 127(2): 829~87.
[31]Mian, A., and A. Sufi. 2012. “The Effects of Fiscal Stimulus: Evidence from the 2009 Cash for Clunkers Program”, The Quarterly Journal of Economics, 127(3): 1107~42.
[32]Nakamura, E., and J. Steinsson. 2014. “Fiscal Stimulus in a Monetary Union”, American Economic Review, 104(3): 753~792.
[33]Neumark, D., and D. Grijalva. 2015. “The Employment Effects of State Hiring Credits”, Working paper.
[34]Romer, C. D., and D. H. Romer. 2010. “The Macroeconomic Effect of Tax Changes: Estimates Based on a New Measure of Fiscal Shocks”, American Economic Review, 100(3): 763~801.
[35]Serrato, J. C. S., and P. Wingender, 2016, “Estimating Local Fiscal Multipliers”, NBER Working Paper.
[36]Shoag, D. 2010. “The Impact of Government Spending Shocks: Evidence on the Multiplier from State Pension Plan Returns”, Working paper.
[37]Shoag, D., 2013, “Using State Pension Shocks to Estimate Fiscal Multipliers since the Great Recession”, American Economic Review, 103(3): 121~24.
[38]Wilson, D. J. 2012. “Fiscal Spending Jobs Multipliers: Evidence from the 2009 American Recovery and Reinvestment Act”, American Economic Journal: Economics Policy, 4(3): 251~282.
[39]Zidar, O. 2019. “Tax Cuts for Whom? Heterogeneous Effects of Income Tax Changes on Growth and Employment”, Journal of Political Economy, 127(3): 1437~72.
[40]Zwick, E., and J. Mahon. 2017. “Tax Policy and Heterogeneous Investment Behavior”, American Economic Review, 107(1): 217~48.
[1] 吴一平, 李鲁. 中国开发区政策绩效评估:基于企业创新能力的视角[J]. 金融研究, 2017, 444(6): 126-141.
[1] 王曦, 朱立挺, 王凯立. 我国货币政策是否关注资产价格?——基于马尔科夫区制转换BEKK多元GARCH模型[J]. 金融研究, 2017, 449(11): 1 -17 .
[2] 刘勇政, 李岩. 中国的高速铁路建设与城市经济增长[J]. 金融研究, 2017, 449(11): 18 -33 .
[3] 况伟大, 王琪琳. 房价波动、房贷规模与银行资本充足率[J]. 金融研究, 2017, 449(11): 34 -48 .
[4] 祝树金, 赵玉龙. 资源错配与企业的出口行为——基于中国工业企业数据的经验研究[J]. 金融研究, 2017, 449(11): 49 -64 .
[5] 陈德球, 陈运森, 董志勇. 政策不确定性、市场竞争与资本配置[J]. 金融研究, 2017, 449(11): 65 -80 .
[6] 牟敦果, 王沛英. 中国能源价格内生性研究及货币政策选择分析[J]. 金融研究, 2017, 449(11): 81 -95 .
[7] 高铭, 江嘉骏, 陈佳, 刘玉珍. 谁说女子不如儿郎?——P2P投资行为与过度自信[J]. 金融研究, 2017, 449(11): 96 -111 .
[8] 吕若思, 刘青, 黄灿, 胡海燕, 卢进勇. 外资在华并购是否改善目标企业经营绩效?——基于企业层面的实证研究[J]. 金融研究, 2017, 449(11): 112 -127 .
[9] 姜军, 申丹琳, 江轩宇, 伊志宏. 债权人保护与企业创新[J]. 金融研究, 2017, 449(11): 128 -142 .
[10] 刘莎莎, 孔高文. 信息搜寻、个人投资者交易与股价联动异象——基于股票送转的研究[J]. 金融研究, 2017, 449(11): 143 -157 .
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
版权所有 © 《金融研究》编辑部
本系统由北京玛格泰克科技发展有限公司设计开发 技术支持:support@magtech.com.cn
京ICP备11029882号-1