Please wait a minute...
金融研究  2024, Vol. 531 Issue (9): 189-206    
  本期目录 | 过刊浏览 | 高级检索 |
社会流动性与城市创业活力:一个倒U形的解释
孙伟增, 李怡凡, 经菠
南京审计大学联合研究院,南京 211815;
上海交通大学上海高级金融学院,上海 200030;
清华大学五道口金融学院,北京 100083
Social Mobility and Entrepreneurial Vitality in Cities: An Inverted U-Shaped Explanation
SUN Weizeng, LI Yifan, JING Bo
Joint Research Institute, Nanjing Audit University;
Shanghai Advanced Institute of Finance, Shanghai Jiao Tong University;
PBC School of Finance, Tsinghua University
下载:  PDF (633KB) 
输出:  BibTeX | EndNote (RIS)      
摘要 本文首先通过理论模型阐释社会流动性与个体创业选择的非线性关系,然后利用中国综合社会调查数据和工商企业注册数据研究发现,社会流动性与城市创业活力之间“倒U形”关系拐点位于第52百分位数:半数城市位于“倒U形”关系拐点左侧,此时社会流动性提升有利于提高城市创业活力。机制分析表明,社会流动性的提升促进了高收益的机会型创业,但会对低收益的生存型创业产生先促进后挤出的影响,从而解释了整体创业活力“倒U形”趋势成因。分析表明,在创业机会成本较高的城市,社会流动性提升对于生存型创业的挤出效应更大;而地区创业风险的降低能够强化社会流动性对机会型创业的促进作用,同时削弱社会流动性对生存型创业的挤出效应。本文的研究结论不仅有助于理解社会流动性与经济增长之间的关系,同时能够为政府通过提高社会流动性激发创业潜力、提高创业质量提供了决策依据。
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
孙伟增
李怡凡
经菠
关键词:  社会流动性  城市创业活力  创业类型  “倒U形”关系    
Summary:  Inequality of opportunity and low social mobility are significant barriers to human capital accumulation and optimal allocation of human resources. With the stagnation of productivity and middle-income growth, coupled with the advancement of technological and climate transitions, enhancing social mobility has become a crucial lever for revitalizing the economic growth. Since China's economic transformation has entered a new normal, facing domestic and international challenges, mass entrepreneurship has become vital in supporting the real economy, stimulating market vitality, constructing new development patterns, and promoting high-quality economic growth. Given the importance of social mobility as a labor market incentive, how will enhanced social mobility affect regional entrepreneurial dynamism? Can an open social structure stimulate greater entrepreneurial potential? These are the core questions this paper investigates.
This paper constructs a theoretical model based on individual utility to elucidate the nonlinear relationship between social mobility and entrepreneurial choices. The model indicates that as social mobility increases, the opportunity cost of entrepreneurship rises while the associated risks decrease. This leads to a marginally diminishing upward trend or an inverted U-shaped trend in urban entrepreneurial dynamism. The decline in entrepreneurial dynamism is due to higher social mobility crowding out low-return entrepreneurship. By distinguishing between high-return and low-return entrepreneurship, the model shows that with enhanced social mobility, high-return entrepreneurship increases, while low-return entrepreneurship first rises and then falls, exhibiting an inverted U-shaped characteristic.
Using data from the China General Social Survey (CGSS) and business registration data from 2005-2018, this paper finds a significant inverted U-shaped relationship between social mobility and urban entrepreneurial dynamism, with the inflection point at the 52nd percentile. Half of the cities lie to the left of the inverted U-shaped inflection point, where enhancing social mobility boosts entrepreneurial dynamism. To address endogeneity issues, his paper uses instrumental variables such as the admission ratios of 985 universities in various provinces and the density of Ming and Qing dynasty scholars. The study finds that the inverted U-shaped relationship remains significant across robustness tests. Mechanism analysis reveals that enhanced social mobility promotes high-return opportunity-driven entrepreneurship but initially promotes and then crowds out low-return necessity-driven entrepreneurship. Heterogeneity analysis indicates that in cities with higher entrepreneurial opportunity costs, the crowding-out effect on necessity-driven entrepreneurship is more pronounced while reducing entrepreneurial risks enhances the positive effect on opportunity-driven entrepreneurship and mitigates the crowding-out effect on necessity-driven entrepreneurship.
The marginal contributions of this paper are twofold. First, through theoretical analysis, it elucidates the impact mechanism of social mobility on entrepreneurial choices, deriving a nonlinear relationship based on the maximization of expected entrepreneurial utility, enriching the literature on social mobility and entrepreneurship. Second, by using business registration and micro-survey data, it empirically verifies the inverted U-shaped impact of social mobility on urban entrepreneurial dynamism and explains the underlying reasons by examining the differential effects on different types of entrepreneurship.
The policy suggeshons of this paper are as follows. First, address institutional and policy barriers hindering labor mobility across social strata, activating social mobility through multiple channels, and reducing labor market friction. Second, the government should adopt proactive measures to lower barriers and risks of entrepreneurship by optimizing the business environment, relaxing financing constraints, and providing loan subsidies. Third, while accelerating social mobility to stimulate entrepreneurial dynamism, it is important to consider the positive impacts of necessity-driven entrepreneurship on individuals, families, and society, ensuring fairness in market competition, fostering an inclusive market atmosphere, and leveraging the labor force's inherent advantages. Fourth, tailored reforms to enhance social mobility should be implemented based on the different development stages of urban and rural areas, promoting overall employment quality through differentiated policy designs and mitigating structural employment contradictions.
Keywords:  Social Mobility    Entrepreneurial Vitality    Entrepreneurial Type    Inverted U-Shaped Relationship
JEL分类号:  M13   J62   J23  
基金资助: * 本文感谢国家自然科学基金项目(72274228、72342031)的资助。感谢匿名审稿人的宝贵意见,文责自负。
通讯作者:  经菠,博士研究生,清华大学五道口金融学院,E-mail:jingb.21@pbcsf.tsinghua.edu.cn.   
作者简介:  孙伟增,工学博士,教授,南京审计大学联合研究院,E-mail:sunweizeng@gmail.com.李怡凡,博士研究生,上海交通大学上海高级金融学院,E-mail:yfli2.23@saif.sjtu.edu.cn.
引用本文:    
孙伟增, 李怡凡, 经菠. 社会流动性与城市创业活力:一个倒U形的解释[J]. 金融研究, 2024, 531(9): 189-206.
SUN Weizeng, LI Yifan, JING Bo. Social Mobility and Entrepreneurial Vitality in Cities: An Inverted U-Shaped Explanation. Journal of Financial Research, 2024, 531(9): 189-206.
链接本文:  
http://www.jryj.org.cn/CN/  或          http://www.jryj.org.cn/CN/Y2024/V531/I9/189
[1] 陈斌开、张淑娟和申广军,2021,《义务教育能提高代际流动性吗?》,《金融研究》第6期,第76~94页。
[2] 陈刚,2015,《管制与创业——来自中国的微观证据》,《管理世界》第5期,第89~99+187~188页。
[3] 范子英,2020,《财政转移支付与人力资本的代际流动性》,《中国社会科学》第9期,第48~67+205页。
[4] 李力行和周广肃,2014,《家庭借贷约束、公共教育支出与社会流动性》,《经济学(季刊)》第14卷第1期,第65~82页。
[5] 厉以宁、辜胜阻、高培勇、刘世锦、刘伟、洪银兴、樊纲和洪永淼,2019,《中国经济学70 年: 回顾与展望——庆祝新中国成立70周年笔谈( 下) 》,《经济研究》第10期,第4~23页。
[6] 刘小鸽、司海平和庞嘉伟,2018,《地区代际流动与居民幸福感: 基于代际教育流动性的考察》,《世界经济》第9期,第171~192页。
[7] 吕炜、郭曼曼和王伟同,2020,《教育机会公平与居民社会信任: 城市教育代际流动的实证测度与微观证据》,《中国工业经济》第2期,第80~99页。
[8] 马光荣和杨恩艳,2011,《社会网络、非正规金融与创业》,《经济研究》第3期,第83~94页。
[9] 莫怡青和李力行,2022,《零工经济对创业的影响——以外卖平台的兴起为例》,《管理世界》第2期,第31~45+3页。
[10] 潘妍和余泳泽,2023,《社会信用体系建设促进了农户创业吗?——基于失信信息公开视角》,《金融研究》第12期,第169~187页。
[11] 王伟同、谢佳松和张玲,2019,《人口迁移的地区代际流动偏好:微观证据与影响机制》,《管理世界》第7期,第89~103+135页。
[12] 谢绚丽、沈艳、张皓星和郭峰,2018,《数字金融能促进创业吗?——来自中国的证据》,《经济学(季刊)》第17卷第4期,第1557~1580页。
[13] 吴育辉、张欢和于小偶,2021,《机会之地: 社会流动性与企业生产效率》,《管理世界》第12期,第74~93页。
[14] 张峰、黄玖立和禹航,2017,《体制内关系与创业》,《管理世界》第4期,第92~105页。
[15] Ardichvili, A., R. Cardozo and S. Ray, 2003, “A theory of entrepreneurial opportunity identification and development”, Journal of Business Venturing, 18(1), pp. 105~123.
[16] Becker, G. S. and N. Tomes, 1979, “An equilibrium theory of the distribution of income and intergenerational mobility” Journal of Political Economy, 87(6), pp. 1153~1189.
[17] Benabou, R. and E. A. Ok, 2001, “Social mobility and the demand for redistribution: the POUM hypothesis”, The Quarterly Journal of Economics, 116(2), pp. 447~487.
[18] Boudreaux, C. J., 2014, “Jumping off of the Great Gatsby curve: how institutions facilitate entrepreneurship and intergenerational mobility”, Journal of Institutional Economics, 10(2), pp. 231~255.
[19] Chen T., J. K. Kung and C. Ma, 2020, “Long live Keju! The persistent effects of China's civil examination system”, The Economic Journal, 130, pp. 2030~2064.
[20] Chetty, R., N. Hendren, P. Kline and E. Saez, 2014, “Where is the land of opportunity? The geography of intergenerational mobility in the United States”, The Quarterly Journal of Economics, 129(4), pp. 1553~1623.
[21] Fan, Y., J. Yi and J. Zhang, 2021, “Rising intergenerational income persistence in China”, American Economic Journal: Economic Policy, 13(1), pp. 202~230.
[22] Fogel, K., A. Hawk, R. Morck and B. Yeung, 2008, “Institutional obstacles to entrepreneurship”, in Basu, A., M. Casson, N. Wadeson, and B. Yeung, The Oxford Handbook of Entrepreneurship, Oxford University Press, pp. 540~579.
[23] Hassler, J. and J. V. R. Mora, 2000, “Intelligence, social mobility, and growth”, American Economic Review, 90(4), pp. 888~908.
[24] Joseph, M., 2020, “The Impact of Intergenerational Mobility on Msa Growth in the United States”, Studies in Business and Economics, 15(1), pp. 127~141.
[25] Lars, F., W. Karl and B. Chanchal, 2016, “Mobility and Entrepreneurship: Evaluating the Scope of Knowledge-Based Theories of Entrepreneurship”, Entrepreneurship Theory and Practice, 40(2), pp. 359~380.
[26] Levine, R. and Y. Rubinstein, 2017, “Smart and illicit: who becomes an entrepreneur and do they earn more?”, The Quarterly Journal of Economics, 132(2), pp. 963~1018.
[27] Luo, C. and L. Xie, 2023, “Regional intergenerational mobility and corporate innovation: Evidence from China”, Plos one, 18(4): e0283588.
[28] Maoz, Y. D. and O. Moav, 1999, “Intergenerational mobility and the process of development”, The Economic Journal, 109(458), pp. 677~697.
[29] Meek, W. R., D. F. Pacheco and J. G. York, 2010, “The impact of social norms on entrepreneurial action: Evidence from the environmental entrepreneurship context”, Journal of Business Venturing, 25(5), pp. 493~509.
[30] Quadrini, V., 2000, “Entrepreneurship, saving, and social mobility”, Review of Economic Dynamics, 3(1), pp. 1~40.
[31] Solon, G., 2004, “A model of intergenerational mobility variation over time and place”, Generational Income Mobility in North America and Europe, 2, pp. 38~47.
[32] Wang, L., L. Liu and Y. Dai, 2021, “Owning your future: Entrepreneurship and the prospects of upward mobility in China”, Economic Modelling, 104, pp. 105637.
[33] Wang, N., D. Cui, C. Geng and Z. Xia, 2022, “The role of business environment optimization on entrepreneurship enhancement”, Journal of Economic Analysis, 1(2), pp. 66~81.
[34] Wang, S. Y., 2012, “Credit constraints, job mobility, and entrepreneurship: Evidence from a property reform in China”, Review of Economics and Statistics, 94(2), pp. 532~551.
[35] Yang, X., Q. Wen, J. Ma and J. Li, 2020, “Upward mobility and the demand for children: Evidence from China”, China Economic Review, 60, pp. 101393.
[1] 姜富伟, 张芷宁, 丁慧. 管理层有限视野与企业ESG表现[J]. 金融研究, 2024, 531(9): 134-152.
[2] 潘妍, 余泳泽. 社会信用体系建设促进了农户创业吗?——基于失信信息公开视角[J]. 金融研究, 2023, 522(12): 169-187.
[3] 马新啸, 汤泰劼, 王红建. 产权司法保护与国有企业混合所有制改革[J]. 金融研究, 2023, 519(9): 112-130.
[4] 刘海明, 步晓宁. 民营企业债务违约是内因驱动吗?——基于短贷长投和多元化经营视角的分析[J]. 金融研究, 2022, 501(3): 79-95.
[5] 王正位, 李梦云, 廖理, 石永彬. 人口老龄化与区域创业水平——基于启信宝创业大数据的研究[J]. 金融研究, 2022, 500(2): 80-97.
[6] 李建军, 李俊成. 普惠金融与创业:“授人以鱼”还是“授人以渔”?[J]. 金融研究, 2020, 475(1): 69-87.
[1] 易纲. 中国的利率体系与利率市场化改革[J]. 金融研究, 2021, 495(9): 1 -11 .
[2] 董丰, 周基航, 贾彦东. 资产泡沫与最优货币政策[J]. 金融研究, 2023, 516(6): 1 -19 .
[3] 肖欣荣, 周晏伊. 中国A股涨跌停交易制度与投资者处置效应[J]. 金融研究, 2024, 531(9): 153 -170 .
[4] 叶帅, 张劲帆, 郑凯轩. 中国新基金过度发行之谜和投资者保护[J]. 金融研究, 2024, 531(9): 171 -188 .
[5] 王熙, 黄德金, 高明. 波动率指数与价格发现——基于中国市场的理论拓展[J]. 金融研究, 2024, 530(8): 113 -131 .
[6] 宋芳秀, 宋奎壁. 公众异质预期、信息成本与货币政策传导[J]. 金融研究, 2024, 529(7): 1 -19 .
[7] 沈艳, 江弘毅, 胡诗云, 赵家琪, 黄卓. 数字金融支持高质量发展:理论、机制和证据[J]. 金融研究, 2024, 529(7): 20 -39 .
[8] 栾稀, 朱浣君, 彭雨洁, 徐奇渊. 地缘政治冲击下的主权债务风险:溢出效应和传导渠道[J]. 金融研究, 2024, 530(8): 1 -19 .
[9] 陈学彬, 李鑫. 关联网络视角下的国际外汇市场汇率风险溢出研究[J]. 金融研究, 2024, 530(8): 20 -38 .
[10] 李政, 李薇, 李丽雯. 美国三类不确定性冲击、生产网络传导与中国行业尾部风险[J]. 金融研究, 2024, 530(8): 39 -57 .
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