主管:中国科学院
主办:中国优选法统筹法与经济数学研究会
   中国科学院科技战略咨询研究院
Articles

Research of the Impact of Financial Reform on Total Factor Productivity-based on the Empirical Data of 5 National Financial Reform Test Areas

Expand
  • 1. Central university of finance and economics;business college, Beijing 100081, China;
    2. Yunnan university, Software Institute, Kunming 650504, China;
    3. Chinese Academy of Social Sciences, Institute of World Economics and Politics, Beijing 100732, China

Received date: 2017-04-11

  Revised date: 2018-02-11

  Online published: 2018-11-23

Abstract

Using five state-level financial reform pilot areas, the impact of financial reform on TFP is empirically investigated based on the counterfactual synthetic control approach. The research results show that in the five financial reform pilot areas, the reform measures of two reformed areas in Zhejiang and Yunnan can improve the total factor productivity in the reform area, while Fujian and Shandong financial reform do not have a significant impact on TFP growth.It means that Zhejiang's reform measures of private lending effectively expand the financing channels of small and medium-sized enterprises and enhance the innovation ability of small and medium-sized enterprises. Besides,Yunnan financial reform experimental area has achieved remarkable results, and the innovation of cross-border business and other related business improves the financing dilemma of "going out". More advanced technology will be returned to the country through a reverse spillover, and the growth of total factor productivity is achieved. The above results not only improve the research on the impact of financial reform on TFP, but also provide effective data support for the current financial reform, and further provide some inspiration for the formulation and implementation of financial reform policy.

Cite this article

CHEN Ye-ting, ZHU Rui, SONG Zhi-gang, YAN Dong . Research of the Impact of Financial Reform on Total Factor Productivity-based on the Empirical Data of 5 National Financial Reform Test Areas[J]. Chinese Journal of Management Science, 2018 , 26(9) : 19 -28 . DOI: 10.16381/j.cnki.issn1003-207x.2018.09.003

References

[1] 阳佳余,赖明勇. 金融发展与基于水平创新的内生增长模型[J]. 中国管理科学, 2007, 15(2):21-27.

[2] 李苗苗,肖洪钧,赵爽. 金融发展、技术创新与经济增长的关系研究——基于中国的省市面板数据[J]. 中国管理科学, 2015, 23(2):162-169.

[3] 邵宜航,刘仕保,张朝阳. 创新差异下的金融发展模式与经济增长:理论与实证[J]. 管理世界, 2015, (11):29-39.

[4] Vanags P, Hicks J. A theory of economic history[M].Oxford, England:Oxford University Press, 1969.

[5] 李俊霞, 张哲, 温小霓. 科技金融支持高新技术产业发展的实证研究——基于系统动力学方法[J]. 中国管理科学, 2016,24(S1):751-757.

[6] 蒲文燕,张洪辉. 基于融资风险的现金持有与企业技术创新投入的关系研究[J]. 中国管理科学, 2016, 24(5):38-45.

[7] Ang J B. Research, technological change and financial liberalization in South Korea[J]. Journal of Macroeconomics, 2010, 32(1):457-468.

[8] 刘降斌,李艳梅. 区域科技型中小企业自主创新金融支持体系研究——基于面板数据单位根和协整的分析[J]. 金融研究, 2008, (12):193-206.

[9] 李健,卫平. 民间金融和全要素生产率增长[J]. 南开经济研究, 2015, (5):74-91.

[10] 黄凌云,徐磊,冉茂盛. 金融发展、外商直接投资与技术进步——基于中国省际面板数据的门槛模型分析[J]. 管理工程学报, 2009, 23(3):16-22.

[11] 张杰,高德步. 金融发展与创新:来自中国的证据与解释[J]. 产业经济研究, 2017, (3):43-57.

[12] Levine R. Stock markets, growth, and tax policy[J]. Journal of Finance, 1991, 46(4):1445-1465.

[13] 吴哲, 范彦成, 陈衍泰,等. 新兴经济体对外直接投资的逆向知识溢出效应——中国对"一带一路"国家OFDI的实证检验[J]. 中国管理科学, 2015,23(S1):690-695.

[14] Abadie A. Difference-in-difference estimators[M]//Macmillan P. The new palgrave Dictionary of economics, London:palgrave Macmillan, 2008.

[15] 李梅. 金融发展、对外直接投资与母国生产率增长[J]. 中国软科学, 2014,(11):170-182.

[16] 江春,周宁东. 中国农村金融改革和发展的理论反思与实证检验——基于企业家精神的视角[J]. 财贸经济, 2012, (1):64-70.

[17] 曾康霖. 金融改革的回顾与评析[J]. 金融研究, 2008, (4):1-8.

[18] 王敏,黄滢. 限购和房产税对房价的影响:基于长期动态均衡的分析[J]. 世界经济, 2013, (1):141-159.

[19] 王秀丽,鲍明明,张龙天. 金融发展、信贷行为与信贷效率——基于我国城市商业银行的实证研究[J]. 金融研究, 2014, (7):94-108.

[20] 谭燕芝, 胡万俊, 罗午阳. 获得贷款证缓解了农户信贷约束吗——基于倾向得分匹配法的实证分析[J]. 经济理论与经济管理, 2017, 36(3):61-71.

[21] 赵峦,孙文凯. 农信社改革对改善金融支农的政策效应评估——基于全国农户调查面板数据的倍差法分析[J]. 金融研究, 2010,(3):194-206.

[22] Abadie A, Gardeazabal J. The economic costs of conflict:A case study of the basque country[J]. The American Economic Review, 2003, 93(1):113-132.

[23] Biagi B,Brandano M G,Pulina M. Tourism taxation:A synthetic control method for policy evaluation[J]. International Journal of Tourism Research, 2017, 19(5):505-514.

[24] Roesel F. Do mergers of large local governments reduce expenditures?-Evidence from Germany using the synthetic control method[J]. European Journal of Political Economy, 2016, 50:22-36.

[25] 王贤彬,聂海峰. 行政区划调整与经济增长[J]. 管理世界, 2010, (4):42-53.

[26] 刘甲炎,范子英. 中国房产税试点的效果评估:基于合成控制法的研究[J]. 世界经济, 2013, (11):117-135.

[27] MacKinnon G J. Econometric theory and methods[M]. Oxford, UK:Oxford University Press, 2004.

[28] 温忠麟,侯杰泰. 隐变量交互效应分析方法的比较与评价[J]. 数理统计与管理, 2004, 23(3):37-42.
Outlines

/