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Local Government Debt, the Spatial Spillover Effect, and Regional Economic Growth |
WANG Bo, ZHAO Senyang, LUO Ronghua, PENG Long
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School of Finance, Southwestern University of Finance and Economics; Shanghai Institute of International Finance and Economics/School of Finance, Shanghai University of Finance and Economics |
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Abstract China's “Report on the Work of the Government” issued in 2020 emphasized the crucial role of local government debt in stabilizing investment and promoting economic growth. Under the premise of controllable risks, local government debt acts as the primary source of funds for the government to provide public goods and a tool for counter-cyclical adjustment, thus promoting economic and social development. China's 14th Five-Year Plan also elevates regional coordinated development to the level of a significant national strategy, proposing the building of urban agglomerations and metropolitan areas with “infrastructure interconnection” and “gridded transportation.” The regional distribution of the debt limit focuses on the three major urban agglomerations, and provincial-level local governments are also more inclined to allocate the debt limit toward urban agglomerations. The effect of local government debt on regional economic growth is therefore worthy of further discussion. We explore the effect and mechanism of local government debt on regional economic growth in the context of coordinated regional development and the rapid growth of urban agglomerations. We obtain balanced panel data for 271 prefecture-level cities in China from 2008 to 2018 and apply the Dynamic Spatial Durbin Model. The main conclusions are as follows. First, local government debt can promote economic growth in neighboring regions, and its spatial spillover effect does not change with the model settings, proxy variables, or estimation methods. In terms of the spatial spillover effects, geographically adjacent regions can enjoy the positive externalities brought by public goods such as transportation infrastructure, thus making a geographical connection. Second, the spatial spillover effect of local government debt on the economic growth of neighboring regions has a time dimension: the service life of transportation infrastructure is long, and thus, there is an accumulation over time, i.e., the effect over the long-term is more significant than that in the short-term. Third, interprovincial market segmentation and administrative barriers cause the spatial spillover effect of local government debt to be stronger within than outside the province. We identify the geographical limit of the spatial spillover effect to be around 400 km, and it is mainly evident in the developed eastern regions. Finally, local governments mainly incur debts so that they can invest in the construction of transportation infrastructure. Similar transport development in neighboring regions will enhance transport grids and interconnectivity, thus significantly contributing to the economic growth of the neighboring regions. We therefore identify improvements in transportation infrastructure as the mechanism behind the positive effect of local government debt on the economies of neighboring regions. Our conclusions offer the following policy implications. First, local government debt issuers should consider both direct and spatial spillover effects. Local government debt has a positive spatial diffusion effect through the development of the transportation network, as this encourages the economic growth of neighboring regions. The effect of local government debt can thus spill over to neighboring regions, and to maximize this effect, urban agglomerations and metropolitan areas should ensure that debt use is more efficient and strive to break through any barriers to enhance regional interconnectivity. This is conducive to optimizing the spatial structure of the population and economy and can ensure that investment is effective and satisfies consumer demand, thereby promoting regional economic growth. Second, In the key regions mentioned in the national major strategic deployment and the “14th Five-Year Plan”, moderately advanced infrastructure investment in regions with high investment efficiency and a high debt ceiling will help to play the role of debt funds in expanding effective investment and stabilizing growth. At the same time, moderately advanced infrastructure investment contributes to accumulating the spatial spillover effect of local government debt. Third, the crowding-out effect of local government debt should be prevented, and the level of debt should be monitored. As the scale of local government debt increases, its role in promoting local economic growth gradually weakens, and a crowing-out effect can occur. The government's premise is that the risks are controllable, and thus, China can continue to promote regional economic growth through a moderate amount of debt. For urban agglomerations experiencing robust economic development, an appropriate increase in local government debt can encourage further economic growth. In addition, the input-output efficiency of local government debt funds should be fully considered, the formulation of local debt-related policies should be tailored to local conditions and strike a balance between stabilizing growth (considering both local and regional economic growth) and preventing risks.
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Received: 18 March 2021
Published: 01 September 2022
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[1] |
曹光宇、刘晨冉、周黎安和刘畅,2020,《财政压力与地方政府融资平台的兴起》,《金融研究》第5期,第60~75页。
|
[2] |
范剑勇和莫家伟,2014,《地方政府债务、土地市场与地区工业增长》,《经济研究》第1期,第41~55页。
|
[3] |
韩峰和阳立高,2020,《生产性服务业集聚如何影响制造业结构升级?——一个集聚经济与熊彼特内生增长理论的综合框架》,《管理世界》第2期,第72~94页。
|
[4] |
刘畅、曹光宇和马光荣,2020,《地方政府融资平台挤出了中小企业贷款吗?》,《经济研究》第3期,第50~64页。
|
[5] |
吕健,2015,《地方政府债务对经济增长的影响分析——基于流动性的视角》,《中国工业经济》第11期,第16~31页。
|
[6] |
梁琪和郝毅,2019,《地方政府债务置换与宏观经济风险缓释研究》,《经济研究》第4期,第18~32页。
|
[7] |
刘勇政和李岩,2017,《中国的高速铁路建设与城市经济增长》,《金融研究》第11期,第19~33页。
|
[8] |
毛捷和黄春元,2018,《地方政府债务、区域差异与经济增长——基于中国地级市数据的验证》,《金融研究》第5期,第1~19页。
|
[9] |
毛捷和徐军伟,2019,《中国地方政府债务问题研究的现实基础——制度变迁、统计方法与重要事实》,《财政研究》第1期,第3~23页。
|
[10] |
年猛,2019,《交通基础设施、经济增长与空间均等化——基于中国高速铁路的自然实验》,《财贸经济》第8期,第146~161页。
|
[11] |
彭冲和陆铭,2019,《从新城看治理:增长目标短期化下的建城热潮及后果》,《管理世界》第8期,第44~57页。
|
[12] |
王永钦、陈映辉和杜巨澜,2016,《软预算约束与中国地方政府债务违约风险:来自金融市场的证据》,《经济研究》第11期,第96~109页。
|
[13] |
王韧、刘柳巧和刘于萍,2021,《地方政府债务负担会阻碍区域经济一体化吗?—城市群视角的异质性诊断》,《财政研究》第5期,第70~84页。
|
[14] |
徐军伟、毛捷和管星华,2020,《地方政府隐性债务再认识——基于融资平台公司的精准界定和金融势能的视角》,《管理世界》第9期,第37~59页。
|
[15] |
冀云阳、付文林和束磊,2019,《地区竞争、支出责任下移与地方政府债务扩张》,《金融研究》第1期,第128~147页。
|
[16] |
冀云阳、毛捷和文雪婷,2021,《地方公共债务与资本回报率》,《金融研究》第6期,第1~20页。
|
[17] |
张可,2019,《经济集聚与区域创新的交互影响及空间溢出》,《金融研究》第5期,第97~113页。
|
[18] |
张克中,陶东杰,2016,《交通基础设施的经济分布效应——来自高铁开通的证据》,《经济学动态》第6期,第62~73页。
|
[19] |
张学良,2012,《中国交通基础设施促进了区域经济增长吗——兼论交通基础设施的空间溢出效应》, 《中国社会科学》第3期,第60~77页。
|
[20] |
Bavaud, F., 1998, “Models for Spatial Weights: A Systematic Look”, Geographical Analysis, 30(2): 153-171.
|
[21] |
Checherita, C., and P. Rother., 2012, “The Impact of High Government Debt on Economic Growth and Its Channels: An Empirical Investigation for the Euro Area”, European Economic Review, 56(7): 1392~1405.
|
[22] |
Chen, Z., Z.G. He, and C. Liu., 2020, “The Financing of Local Government in China: Stimulus Loan Wanes and Shadow Banking Waxes”, Journal of Financial Economics, 137(1): 42~71.
|
[23] |
Corinne, A., and J.P. Lesage., 2011, “Quantifying Knowledge Spillovers Using Spatial Econometric Models”, Journal of Regional Science, 51(3): 471~496.
|
[24] |
Donaldson, D., 2018, “Railroads of the Raj: Estimating the Impact of Transportation Infrastructure”, The American Economic Review, (108): 899~934.
|
[25] |
Elhorst, J. P., 2012, “Dynamic Spatial Panels: Models, Methods, and Inferences”, Journal of Geographical Systems, 14(1), 5-28.
|
[26] |
Elhorst, J. P., E. Zandberg, and J. De Haan., 2013, “The Impact of Interaction Effects among Neighboring Countries on Financial Liberalization and Reform: A Dynamic Spatial Panel Data Approach”, Spatial Economic Analysis, 8(3):293-313.
|
[27] |
Elhorst, J. P., 2014, “Spatial Econometrics: From Cross-Sectional Data to Spatial Panels”, Published by Springer.
|
[28] |
Han, F., R. Xie, and M. Lai., 2018, “Traffic Density, Congestion Externalities and Urbanization in China”, Spatial Economic Analysis, 13(4): 400~421.
|
[29] |
Kim, Y. R., A.M. Williams, S. Park, and J.L. Chen., 2020, “Spatial Spillovers of Agglomeration Economies and Productivity in the Tourism Industry: The Case of the UK”, Tourism Management, (82): 104~201.
|
[30] |
LeSage, J. P., and R.K. Pace., 2009, “Introduction to Spatial Econometrics”, Published by Chapman & Hall/CRC.
|
[31] |
Pereira, A., and J.M. Andraz, 2004, “Public Highway Spending and State Spillovers in the USA”, Applied Economics Letters, 11(12): 785~788
|
[32] |
Vaga, S.H., and J.P. Elhorst., 2017, “Regional Labour Force Participation across the European Union:A Time-space Recursive Modelling Approach with Endogenous Regressors”, Spatial Economic Analysis, (12): 138~160.
|
[33] |
Yu, J.H., L.A. Zhou, G. Zhu., 2016, “Strategic Interaction in Political Competition: Evidence from Spatial Effects across Chinese Cities”, Regional Science and Urban Economics, (57): 23~37.
|
|
|
|