产业政策对企业全要素生产率的作用机制——基于国家自主创新示范区的准自然实验

doi:10.6049/kjjbydc.2020120404

SCIENCE & TECHNOLOGY PROGRESS AND POLICY

2021, Vol. 38

Issue (23): 131-140 DOI: 10.6049/kjjbydc.2020120404

Legal System and Policy of Science and Technology

Current Issue | Archive | Adv Search

The Mechanism of Industrial Policy and Firm's Total Factor Productivity：Research on a Quasi-Natural Experiment of Self-dependent Innovation Demonstration Area

Wang Siwen,Sun Yahui

(School of International Economics and Trade，Lanzhou University of Finance and Economics，Lanzhou 730020, China)

Abstract
Figure/Table
References
Related Citation (15)

Download: PDF (1321 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract Whether industrial policy can improve the total factor productivity of enterprises is an important issue in the field of industrial economy.This paper uses the quasi-natural experiment to study the impact of industrial policies on the total factor productivity of enterprises in the self-dependent innovation demonstration area.The study find that industrial policies have significantly improved the total factor productivity of enterprises in the area, but the absorption levels of industrial policies are different for different ownership enterprises.Compared with state-owned enterprises.Non-state-owned enterprises are more likely to receive industrial policy incentives to improve total factor productivity.Further research found that the role of industrial policies and the impact of industries in which enterprises are located have different effects on total factor productivity.Industrial policies have significantly improved the total factor productivity of key supporting enterprises and capital-intensive enterprises.After taking technological innovation as an intermediary variable between industrial policy and total factor productivity.It was found that 90% of industrial policy is acting on corporate total factor productivity through technological innovation.The government can use technological innovation as a tool to implement targeted industrial policies to improve the total factor productivity of enterprises.

Key words： Industrial Policy Technological Innovation Self-Dependent Innovation Demonstration Area Total Factor Productivity Quasi-Natural Experiment

Received: 15 February 2021

ZTFLH:

F260

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	Wang Siwen
	Sun Yahui

Cite this article:

Wang Siwen,Sun Yahui. The Mechanism of Industrial Policy and Firm's Total Factor Productivity：Research on a Quasi-Natural Experiment of Self-dependent Innovation Demonstration Area[J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2021, 38(23): 131-140.

URL:

http://www.kjjb.org/EN/10.6049/kjjbydc.2020120404 OR http://www.kjjb.org/EN/Y2021/V38/I23/131

[1] 林毅夫,向为,余淼杰.区域型产业政策与企业生产率[J].经济学(季刊),2018,17(2):781-800.
[2] 林毅夫.新结构经济学与中国发展之路[J].中国市场,2012,19(50):3-8.
[3] MELO P C,GRAHAM D J,NOLAND R B.Ameta-analysis of estimates of urban agglomeration economies[J].Regional Science and Urban Economics,2009,39(3):332-342.
[4] BLONIGEN B A.Industrial policy and downstream export performance[J].The Economic Journal,2016,126(595):1635-1659.
[5] 谭诗羽,吴万宗,夏大慰.国产化政策与全要素生产率:来自汽车零部件制造业的证据[J].财经研究,2017,43(4):82-95.
[6] NEUMANN M.Industrial policy and competition policy[J].European Economic Review,1990,34(2-3):562-567.
[7] POWELL B.Statedevelopment planning:did it create an east Asian miracle[J].The Review of Austrian Economics,2005,18(3-4):305-323.
[8] AGHION P,CAI J,DEWATRIPONT M,et al.Industrial policy and competition[J].American Economic Journal:Macroeconomics,2015,7(4):1-32.
[9] MCKENNA R,COHEN S S,BORRUS M G.Industrialpolicy and international competition in high technology[J].California Management Review,1984,26(2):15-32.
[10] ALBERT GUANGZHOU HU.R&D organization,monitoring intensity,and innovation performance in chinese industry[J].Economics of Innovation and New Technology,2003,12(2):117-144.
[11] 戴魁早,刘友金.要素市场扭曲如何影响创新绩效[J].世界经济,2016,39(11):54-79.
[12] 杨晓妹,刘文龙.财政R&D补贴、税收优惠激励制造业企业实质性创新了吗:基于倾向得分匹配及样本分位数回归的研究[J].产经评论,2019,10(3):115-130.
[13] 李子彪,孙可远,吕鲲鹏.三类政府财政激励政策对高新技术企业创新绩效的激励机制:基于企业所有权性质的调节效应[J].技术经济,2018,37(12):14-25,75.
[14] 宋凌云,王贤彬.产业政策如何推动产业增长:财政手段效应及信息和竞争的调节作用[J].财贸研究,2017,28(3):11-27.
[15] 周燕,潘遥.财政补贴与税收减免:交易费用视角下的新能源汽车产业政策分析[J].管理世界,2019,35(10):133-149.
[16] 彭月兰,任晋晋.促进我国风电发展的财税政策研究[J].经济问题,2018,40(8):28-31,83.
[17] 戴小勇,成力为.产业政策如何更有效:中国制造业生产率与加成率的证据[J].世界经济,2019,42(3):69-93.
[18] ROSENTHAL S S,STRANGE W C.Evidence on the nature and sources of agglomeration economies[J].HandBook of Regional and Urban Economics,2004（4）:2119-2171.
[19] 余壮雄,杨扬.大城市的生产率优势:集聚与选择[J].世界经济,2014,37(10):31-51.
[20] 韩永辉,黄亮雄,王贤彬.产业政策推动地方产业结构升级了吗:基于发展型地方政府的理论解释与实证检验[J].经济研究,2017,52(8):33-48.
[21] 陈永清,夏青,周小樱.产业政策研究及其争论述评[J].经济评论,2016,37(6):150-158.
[22] 蔡玉蓉,汪慧玲.科技创新、产业集聚与地区劳动生产率[J].经济问题探索,2018，39(10):59-69.
[23] HARRISON A E.An empirical test of the infant industry argument:comment[J].American Economic Review,1994,84(4):1090-1095.
[24] 王文,孙早,牛泽东.产业政策、市场竞争与资源错配[J].经济学家,2014,26(9):22-32.
[25] RANASINGHE A.Impact ofpolicy distortions on firm-level innovation,productivity dynamics and TFP[J].Journal of Economic Dynamics and Control,2014（46）:114-129.
[26] HSIEH C T,KLENOW P J.Misallocation and manufacturing TFP in China and India[J].Quarterly Journal of Economics,2009,124(4):1403-1448.
[27] 李政,杨思莹,路京京.政府补贴对制造企业全要素生产率的异质性影响[J].经济管理,2019,41(3):5-20.
[28] 余明桂,范蕊,钟慧洁.中国产业政策与企业技术创新[J].中国工业经济,2016,33(12):5-22.
[29] 苑德宇,李德刚,宋小宁.产业集聚、企业年龄与政府补贴[J].财贸经济,2018,39(9):39-56.
[30] 唐荣,顾乃华,谭周令.产业政策、市场结构与企业价值链定位[J].产业经济研究,2019,18(1):12-26.
[31] DIXON P B,RIMMER M T.You can't have a CGE recession without excess capacity[J].Economic Modelling,2011,28(1-2):602-613.
[32] 张亚斌,朱虹,范子杰.地方补贴性竞争对我国产能过剩的影响:基于倾向匹配倍差法的经验分析[J].财经研究,2018,44(5):36-47,152.
[33] 宣烨.要素价格扭曲、制造业产能过剩与生产性服务业发展滞后[J].经济学动态,2019,59(3):91-104.
[34] 徐齐利,聂新伟,范合君.政府补贴与产能过剩[J].中央财经大学学报,2019,39(2):98-118,128.
[35] CHEN Y W,YANG Y P,WANG L F S,et al.Technology licensing in mixed oligopoly[J].International Review of Economics & Finance,2014(31):193-204.
[36] GAVIOUS I,LAHAV Y,RUSS M.Changes in the value implications of compensation costs throughout the economic cycle:an examination of high-tech versus low-tech industries[J].Asia-Pacific Journal of Accounting & Economics,2016,23(2):200-223.
[37] 马红,侯贵生.混合所有制改革、地方国企依赖与国有企业创新升级:基于制造业的实证研究[J].上海财经大学学报,2019,21(2):30-45,64.
[38] PARK W G.International R&D spillovers and OCED economic growth[J].Economic Inquiry,1995,33(4):571-591.
[39] GRIFFITH R,REDDING S,REENEN J V.Mapping the two faces of R&D:productivity growth in a panel of OECD industries[J].Review of Economics and Statistics,2004,86(4):883-895.
[40] 陈维涛,严伟涛,庄尚文.进口贸易自由化、企业创新与全要素生产率[J].世界经济研究,2018,37(8):62-73,136.
[41] MOHNEN P, HALL B H.Innovation and productivity: an update [J].Eurasian Business Review, 2013, 3(1): 47-65.
[42] TANG J M,LE C D.Multidimensional innovation and productivity[J].Economics of Innovation and New Technology,2007,16(7):501-516.
[43] BAUMANN J,KRITIKOS A S.The link between R&D,innovation and productivity:are micro firms different[J].Research Policy,2016,45(6):1263-1274.
[44] 王薇,艾华.政府补助、研发投入与企业全要素生产率:基于创业板上市公司的实证分析[J].中南财经政法大学学报,2018,71(5):88-96.
[45] 温忠麟,张雷,侯杰泰,等.中介效应检验程序及其应用[J].心理学报,2004,36(5):614-620.
[46] 王思文,管新帅,刘雪强.出口、创新与生产率:基于异质性企业的联合决策模型[J].经济评论,2018,39(5):75-89,105.
[47] 宋凌云,王贤彬.重点产业政策、资源重置与产业生产率[J].管理世界,2013,29(12):63-77.
[48] 钱雪松,康瑾,唐英伦,等.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,2018,35(8):42-59.
[49] 李骏,刘洪伟,万君宝.产业政策对全要素生产率的影响研究:基于竞争性与公平性视角[J].产业经济研究,2017,16(4):115-126.
[50] 刘晔,张训常,蓝晓燕.国有企业混合所有制改革对全要素生产率的影响:基于PSM-DID方法的实证研究[J].财政研究,2016,37(10):63-75.
[51] 鲁桐,党印.公司治理与技术创新:分行业比较[J].经济研究,2014,49(6):115-128.