A Model for China's Economic Growth: Analysis Based on Land Finance
WEN Zhu, JIN Tao
PBC School of Finance, Tsinghua University; Policy Research Department, China Banking and Insurance Regulatory Commission; Hang Lung Center for Real Estate, Tsinghua University
Summary:
Research on economic growth since China's reform and opening-up generally focuses on two aspects: market-oriented reform, which has greatly improved the efficiency of resource allocation; and competition between local governments, which strongly promotes resource aggregation and local economic growth. However, over the last two decades, China's economic growth has developed new features: GDP growth has continued to slow, total factor productivity (TFP) growth has shown a downward trend, the output efficiency of investment has decreased significantly, net exports as a share of GDP have fallen rapidly since peaking in 2007, and the proportion of the private sector has begun to stabilize after continuous improvement. This paper argues that the above problems are closely related to changes in China's growth model and that land finance has been underestimated before. We develop a dynamic overlapping generations (OLG) model in which land finance and market-oriented reform play key roles to explain China's economic growth over the last two decades. Land finance links economic sectors as follows: households incorporate land value into their utility function; the local government obtains funds through land finance and mainly supports state-owned enterprises to carry out infrastructure construction; state-owned enterprises and private enterprises, which carry out heterogeneous production and operating activities, provide final products and distribute income to households; households deposit money in the bank and obtain down payments for housing through bank loans; and banks provide loans to enterprises to support their production and operations. Subsequently, we extend the two-period model to a multi-period OLG model and perform parameter calibration and model solution. We use MATLAB to simulate China's economic growth in an iterative way. Our results show that land finance works as a pivot in the model, allowing the local government to collect capital from the household sector and invest in the infrastructure sector mostly owned by the state. This progress has accelerated along with urbanization in China, interacting with the development of private companies and forming China's unique growth pattern. Our model explains the features of China's economic growth over the last two decades well, including the slowdown of TFP growth, the growth of the private sector, and improved investment efficiency. The multi-period model is consistent with the trend of China's economic structural changes from 1998 to 2017, as well as macro indicators such as savings rate, investment rate, foreign investment and reserves. The emergence of land finance and market-oriented reform to jointly drive economic growth has a certain historical inevitability as a result of the processes of urbanization and economic transition. Although land finance provides a large amount of funds and a powerful driving force for China's rapid economic growth, it also hinders improving the efficiency of resource allocation. With the further weakening of the role of land finance, continuously promoting technological progress, deepening the reform of state-owned enterprises, and deepening financial reform, among others, are key measures for China's long-term sustainable economic growth. The marginal contribution of this paper is as follows. Following Song et al. (2011), the paper embeds the land finance mechanism in the process of economic growth, which explains the mechanism through which the proportions of the state-owned sector and the private sector tend to balance each other, thus establishing a new model of China's economic growth over the past two decades and providing a new perspective for the study of economic growth.
文竹, 金涛. 关于中国经济增长模式的一个解释框架——基于“土地财政”的演进分析[J]. 金融研究, 2022, 502(4): 1-17.
WEN Zhu, JIN Tao. A Model for China's Economic Growth: Analysis Based on Land Finance. Journal of Financial Research, 2022, 502(4): 1-17.
[1]白重恩和张琼,2015,《中国全要素生产率估计及其波动分解》,《世界经济》第12期,第3~24页。 [2]陈诗一和王祥,2016,《融资成本、房地产价格波动与货币政策传导》,《金融研究》第3期,第1~14页。 [3]何青、钱宗鑫和郭俊杰,2015,《房地产驱动了中国经济周期吗?》,《经济研究》第12期,第43~55页。 [4]傅勇和张晏,2007,《中国式分权与财政支出结构偏向:为增长而竞争的代价》,《管理世界》第3期,第4~12页。 [5]高然和龚六堂,2017,《土地财政、房地产需求冲击与经济波动》,《金融研究》第4期,第36~49页。 [6]郭树清,1991,《新经济体制的基本轮廓与加快过渡的方法和步骤》,载于《郭树清改革论文集》,中国发展出版社,第55~61页。 [7]李宾和曾志雄,2009,《中国全要素生产率变动的再测算:1978~2007年》,《数量经济技术经济研究》第3期,第4~16页。 [8]李恩平,2013,《诺瑟姆曲线:一场美丽的误会》,《万科周刊》10月9日。 [9]廖茂林,2018,《基础设施投资是否还能促进经济增长?——基于1994~2016年省际面板数据的实证检验》,《管理世界》第5期,第63~73页。 [10]叶静怡和林佳,2016,《创新与企业全要素生产率——来自中国制造业企业的证据》,《学习与探索》第5期,第105~111页。 [11]刘鹤,2012,《中国发展成功的原因及未来发展趋势》,《中国经贸》第4期,第26~27页。 [12]卢锋,2016,《宏调的逻辑—从十年宏调史读懂中国经济》,中信出版集团。 [13]任喜萍,2017,《基于DEA方法的我国城市基础设施投资效率评价研究》,《经济体制改革》第5期,第49~54页。 [14]邵朝对、苏丹妮和邓宏图, 2016,《房价、土地财政与城市集聚特征:中国式城市发展之路》,《管理世界》第19~31页。 [15]唐在富,2012,《中国土地财政基本理论研究——土地财政的起源、本质、风险与未来》,《经济经纬》第2期,第140~145页。 [16]吴敬琏,2003,《当代中国经济改革》,上海远东出版社。 [17]吴延兵,2012,《国有企业双重效率损失研究》,《经济研究》第3期,第15~27页。 [18]薛暮桥,1991,《关于社会主义经济的若干理论问题》,《中国社会科学》第3期,第3~11页。 [19]吴晓灵和谢平,1993,《转向市场经济过程中的中国货币政策》,《改革》第4期,第6~10页。 [20]杨汝岱,2015,《中国制造业企业全要素生产率研究》,《经济研究》第2期,第61~74页。 [21]杨卫东,2013,《国企改革与“再国有化”反思》,《华中师范大学学报(人文社会科学版)》第1期,第29~43页。 [22]张杰、芦哲、郑文平和陈志远,2012,《融资约束、融资渠道与企业R&D投入》,《世界经济》第10期,第66~90页。 [23]张涛、刘宽斌和熊雪,2018,《中国国有和民营制造业企业生产效率对比研究》,《数量经济技术经济研究》第6期,第78~94页。. [24]张五常,2009,《中国的经济制度》,中信出版社。 [25]郑思齐、刘洪玉,2005,《住房需求的收入弹性:模型、估计与预测》,《土木工程学报》第7期,第122~126页。 [26]中国经济增长前沿课题组,张平和刘霞辉,2011,《城市化、财政扩张与经济增长》,《经济研究》第11期,第4~20页。 [27]中国人民银行营业管理部课题组,2017,《预算软约束、融资溢价与杠杆率——供给侧结构性改革的微观机理与经济效应研究》,《经济研究》第10期,第53~66页。 [28]周彬、杜两省,2010,《“土地财政”与房地产价格上涨:理论分析和实证研究》,《财贸经济》第8期,第111~118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]周其仁,2013,《改革的逻辑》,中信出版社。 [31]周小川,1992,《走向开放型经济》,《经济社会体制比较》第5期,第4~11页。 [32]经济日报社中国经济趋势研究院,2017,《中国家庭财富调查报告(2017)》。 [33]Aoki, S., 2012. “A simple accounting framework for the effect of resource misallocation on aggregate productivity”.Journal of the Japanese and International Economies, 26(4): 473~494. [34]Bernanke, B. and M. Gertler.1989. “Agency Costs,Net worth and Business Fluctuations”, American Economic Review, 79(1):14~31. [35]Cao, G.,and Associate Professor. 2008. “Local Land Finance in China's Urban Expansion: Challenges and Solutions”, China & World Economy, 2008(2):12. [36]Cao, Y. Z., Y. Y. Qian and B. R. Weingast. 1999. “From federalism,Chinese style to privatization,Chinese style”, Economics of Transition, 7(1):103~131. [37]Hsieh, C. T. and P. J. Klenow. 2007. “Misallocation and manufacturing TFP in China and India”, Quarterly Journal of Economics, 124(4):1403~1448. [38]Hsieh, C. T. and R. Ossa. 2016. “A Global View of Productivity Growth in China”, Journal of International Economics, 102(2):209~224. [39]Li, H. C., Lee, W. C., and B. T. Ko. 2017. “What determines misallocation in innovation? A study of regional innovation in China”, Journal of Macroeconomics, 2017(52):221~237. [40]Moll, B. 2014. “Productivity Losses from Financial Frictions: Can Self-Financing Undo Capital Misallocation?”, American Economic Review, 104(10):3186~3221. [41]Song, Z., K. Storesletten, and F. Zilibotti. 2011. “Growing like China”, American Economic Review,2011(2):202~241. [42]Xiong, W. 2018. “The Mandarin Model of Growth”, Working paper, Princeton University.