How Does Homogeneous Competition in Industrial Policy Affect the Spatial Allocation of Fiscal Equity Capital? Evidence from LLM-Based Identification and Micro-Level Investment Events
LIN Zhifan, WANG Maosen, TANG Zishen
Bay Area International Business School, Beijing Normal University; Lingnan College, Sun Yat-sen University;Business School, Beijing Normal University
Summary:
Government investment funds in China serve as both a key vehicle of the sci-tech finance system and an increasingly important instrument for local governments to implement industrial policies. Governments at various levels contribute fiscal capital as limited partners, channeling private investment into strategic emerging industries and critical sectors, with the stated objectives of fostering new quality productive forces, supporting technological innovation, and promoting local industrial upgrading. Unlike venture capital and private equity models dominated by private capital in Western countries, China's government investment funds are mostly funded by local fiscal budgets and subject to local performance assessment, making their investment decisions heavily reflective of local industrial policy orientations. By 2025, over 2,100 government investment funds had been established nationwide, with a target scale of approximately RMB 11 trillion, and sub-provincial governments had become the main sponsors. Over the past two decades, local industrial policies have exhibited pronounced homogenization: provinces and cities compete to prioritize the same sectors, including new energy and intelligent connected vehicles, advanced manufacturing, new materials, biomedicine, and big data. This gives rise to the central question of this study: how does horizontal intergovernmental competition, triggered by industrial policy homogenization, affect the spatial allocation of fiscal equity capital? This study proposes that industrial policy competition among local governments is a key constraint on the cross-regional allocation of fiscal equity capital, and explains this through two mechanisms. The first is economic rationality: industrial policy homogenization reduces the differentiated institutional rents available from out-of-region investments, homogenizes the project pool, raises screening costs, and reinforces expectations of overcapacity, thereby lowering the net returns on cross-regional investments. The second is intergovernmental competition: because the funding and performance evaluation of government investment funds are embedded in local agendas, when cities within a province compete in similar sectors, local officials have incentives to retain fiscal equity capital locally, and canimpose constraints on fund managers through seats on investment committees, performance appraisals, and commitment to future follow-on funding. Accurately measuring the degree of industrial policy homogenization is a core challenge. This study leverages a large language model to overcome the limitations of keyword-based searches and subsidy proxies: we apply DeepSeek-V3, an open-source model developed domestically, to process 1.77 million policy documents from the PKULAW database (2011–2022). The model identifies industrial policy documents based on four criteria, including government agency, specific instruments, target industries, and long-term objectives, and extracts key industries, policy goals, and instruments by “quoting original texts” to mitigate hallucination. We then construct city-year policy vectors and compute cosine similarity between each city and other cities within the same province. This measure is matched with 20,836 government fund investment events identified through multi-layer equity penetration and manual verification, classified into local investments (11,383) and cross-regional investments (9,453), forming a panel dataset covering 300 prefecture-level jurisdictions and 3,350 city-year observations. Fund investment data are obtained from Qingke PEdata, and city-level fundamentals and additional test data are drawn from various statistical yearbooks, CNRDS, CnOpenData, and other sources with cross-validation. Baseline regressions show that the more similar a city's industrial policy is to those of other cities in the same province, the significantly less cross-regional government fund investment its local firms receive. This result survives a series of robustness checks. Mechanism tests indicate that the negative effect stems from both economic rationality and intergovernmental competition. The intergovernmental competition effect is evidenced by: (1) in the first year of a new Party Secretary's tenure, the marginal effect of policy similarity on cross-regional investment is about 2.2 times that in other periods; (2) the baseline effect is driven solely by policy similarity with intra-provincial cities, not by similarity with extra-provincial cities. Heterogeneity analyses show that the effect is stronger in cities with tighter fiscal constraints, concentrated in industries prioritized by central and provincial governments, and primarily driven by homogenization in supportive policy instruments. Analysis of economic consequences finds that industrial policy homogenization significantly weakens the positive effects of government investment funds on firm entry and intellectual property transactions. This study offers three policy recommendations. First, for strategic emerging and future industries with strong economies of scale, the central government should take the lead in coordinating major investment decisions and give national-level funds a stronger role in crossregional allocation. Second, local industrial policies should move away from imitation toward a more differentiated approach grounded in comparative advantage. Evaluations of official performance should give due weight to fostering locally distinctive industries that fit regional conditions, and a mechanism for crossregional policy coordination and information sharing should be developed within the unified national market framework. Third, transfer payments and supporting fund mechanisms need to be improved to bolster policy implementation in fiscally weaker areas. At the same time, information disclosure and accountability should be enhanced to create a more favorable institutional environment for the crossregional flow of fiscal equity capital.
林志帆, 王茂森, 汤梓燊. 产业政策同质竞争如何影响财政股权资本的空间配置?——基于大语言模型识别与微观投资事件的经验证据[J]. 金融研究, 2026, 555(9): 20-38.
LIN Zhifan, WANG Maosen, TANG Zishen. How Does Homogeneous Competition in Industrial Policy Affect the Spatial Allocation of Fiscal Equity Capital? Evidence from LLM-Based Identification and Micro-Level Investment Events. Journal of Financial Research, 2026, 555(9): 20-38.
[1] 蔡庆丰、刘昊和舒少文,2024,《政府产业引导基金与域内企业创新:引导效应还是挤出效应?》,《金融研究》第3期,第75~93页。 [2] 范子英和周小昶,2022,《财政激励、市场一体化与企业跨地区投资——基于所得税分享改革的研究》,《中国工业经济》第2期,第118~136页。 [3] 方丹、陆巧雯、陈彬和陈江强,2025,《补贴退坡政策与战略性新兴产业产能过剩——来自光伏上市公司的证据》,《中国管理科学》第12期,第1~20页。 [4] 宫义飞、张可欣、徐荣华和夏雪花,2021,《政府引导基金发挥了“融资造血”功能吗》,《会计研究》第4期,第89~102页。 [5] 林晨和李宇潇,2024,《全国统一大市场与地方产业政策竞争》,《经济研究》第12期,第40~57页。 [6] 林建浩和孙乐轩,2025,《大语言模型与经济金融文本分析:基本原理、应用场景与研究展望》,《计量经济学报》第1期,第1~34页。 [7] 林志帆和汤梓燊,2026,《政府投资基金:理论、中国特色事实与研究展望》,《技术经济》第6期,第1~16页。 [8] 陆铭和陈钊,2009,《分割市场的经济增长——为什么经济开放可能加剧地方保护?》,《经济研究》第3期,第42~52页。 [9] 吕冰洋和贺颖,2019,《分权、分税与市场分割》,《北京大学学报(哲学社会科学版)》第3期,第54~66页。 [10] 吕冰洋、肖乃夫和曾傅雯,2025,《中国地方产业政策的特征事实——基于政府工作报告的文本分析》,《财经问题研究》第12期,第3~17页。 [11] 马光荣、程小萌和杨恩艳,2020,《交通基础设施如何促进资本流动——基于高铁开通和上市公司异地投资的研究》,《中国工业经济》第6期,第5~23页。 [12] 聂辉华和李睿之,2025,《寓合作于竞争:地方政府引导基金能否促进统一大市场的形成》,《学术月刊》第9期,第35~47页。 [13] 宋小宁、曹慧娟和马光荣,2023,《国家巡回法庭与资本跨区流动:央地司法关系视角》,《经济学(季刊)》第5期,第1793~1809页。 [14] 唐为、邱旋和陈子曦,2025,《政府引导基金与战略性新兴产业发展——产业发展中的政府与市场协同视角》,《数量经济技术经济研究》第9期,第52~71页。 [15] 唐为和邱旋,2026,《要素市场一体化背景下的政府引导基金跨区域流动——来自国家级城市群规划的证据》,《金融研究》第4期,第93~111页。 [16] 汪德华和杨璐,2025,《政府投资基金的运行成效与改革展望》,《经济问题》第2期,第1~11页。 [17] 王问苈和陈健生,2025,《异地投资提升了区域创新能力吗——基于知识技术多样化的新视角》,《技术经济》第7期,第16~28页。 [18] 王晓东、谭学通和孙开心,2026,《地方产业政策推动全国统一大市场形成吗?——来自中国224个城市的经验证据》,《统计研究》第3期,第119~133页。 [19] 吴超鹏和严泽浩,2023,《政府基金引导与企业核心技术突破:机制与效应》,《经济研究》第6期,第137~154页。 [20] 吴意云和朱希伟,2015,《中国为何过早进入再分散:产业政策与经济地理》,《世界经济》第2期,第140~166页。 [21] 谢莉娟、谭学通、严玉珊和张昊,2025,《协同优化营商环境与资本跨区域流动》,《数量经济技术经济研究》第10期,第5~26页。 [22] 谢贞发、陈芳敏和陈卓恒,2023,《激励与能动性:非对称财政收支分权与企业资本跨区域流动》,《数量经济技术经济研究》第1期,第87~108页。 [23] 谢贞发和朱东霞,2025,《政府投资基金的产业带动效应——来自企业进入的经验证据》,《金融研究》第8期,第113~131页。 [24] 杨其静和王康宁,2025,《地方政府引导基金与高技术制造业布局——基于国有建设用地出让数据的观察》,《中国人民大学学报》第2期,第89~103页。 [25] 张伟广和阴丽君,2025,《网络基础设施建设能否促进资本跨区域流动?》,《技术经济》第2期,第85~96页。 [26] 张学勇、吴雨玲和郑轶,2016,《我国风险投资机构(VC)的本地偏好研究》,《投资研究》第6期,第86~104页。 [27] 赵婷和陈钊,2019,《比较优势与中央、地方的产业政策》,《世界经济》第10期,第98~119页。 [28] 周黎安,2004,《晋升博弈中政府官员的激励与合作——兼论我国地方保护主义和重复建设问题长期存在的原因》,《经济研究》第6期,第33~40页。 [29] 周黎安,2007,《中国地方官员的晋升锦标赛模式研究》,《经济研究》第7期,第36~50页。 [30] Aghion, P., J. Cai, M. Dewatripont, L. Du, A. Harrison, and P. Legros, 2015,“Industrial Policy and Competition,” American Economic Journal: Macroeconomics, 7(4), pp.1~32. [31] Barwick, P. J., M. Kalouptsidi, and N. B. Zahur, 2025,“Industrial Policy Implementation: Empirical Evidence from China’s Shipbuilding Industry,” Review of Economic Studies, 92(6), pp.3611~3648. [32] Brander, J. A., Q. Du, and T. Hellmann, 2015,“The Effects of Government-Sponsored Venture Capital: International Evidence,” Review of Finance, 19(2), pp.571~618. [33] Branstetter, L. G., G. Li, and M. Ren, 2023,“Picking Winners? Government Subsidies and Firm Productivity in China,” Journal of Comparative Economics, 51(4), pp.1186~1199. [34] Cen, X., V. Fos, and W. Jiang, 2024,“How Do U.S. Firms Withstand Foreign Industrial Policies?” ,NBER Working Paper, No.32411. [35] Colombo, M. G., D. J. Cumming, and S. Vismara, 2016,“Governmental Venture Capital for Innovative Young Firms,” The Journal of Technology Transfer, 41(1), pp.10~24. [36] Fang, H., M. Li, and G. Lu, 2025,“Decoding China’s Industrial Policies,” NBER Working Paper, No.33814. [37] Ge, G., J. Xue, and Q. Zhang, 2024,“Industrial Policy and Governmental Venture Capital: Evidence from China,” Journal of Corporate Finance, 84, 102532. [38] Juhász, R., N. Lane, and D. Rodrik, 2024,“The New Economics of Industrial Policy,” Annual Review of Economics, 16(1), pp.213~242. [39] Rodrik, D., 2009,“Industrial Policy: Don’t Ask Why, Ask How,” Middle East Development Journal, 1(1), pp.1~29. [40] Samila, S. and O. Sorenson, 2010,“Venture Capital as a Catalyst to Commercialization,” Research Policy, 39(10), pp.1348~1360. [41] Seasholes, M. S. and N. Zhu, 2010,“Individual Investors and Local Bias,” The Journal of Finance, 65(5), pp.1987~2010. [42] Xu, C., 2011,“The Fundamental Institutions of China’s Reforms and Development,” Journal of Economic Literature, 49(4), pp.1076~1151.