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中国的土地财政、基础设施投资与房价。

Land finance, infrastructure investment and housing prices in China.

机构信息

School of Management Science and Engineering, Anhui University of Technology, Ma'anshan, China.

Key Laboratory of Multidisciplinary Management and Control of Complex Systems of Anhui Higher Education Institutes, Anhui University of Technology, Ma'anshan, China.

出版信息

PLoS One. 2023 Oct 24;18(10):e0292259. doi: 10.1371/journal.pone.0292259. eCollection 2023.

Abstract

Housing prices in China have experienced rapid growth in recent decades, and land finance has long been discussed as an important factor in this growth. In this paper, we explore the interactions among housing prices, land transfer revenue and infrastructure investment from the perspective of government revenue and expenditure. Based on the panel data of 35 large and medium-sized cities in China from 2000 to 2017, the empirical results show that land transfer revenue, infrastructure investment and housing prices are causally related and result in positive feedback. The grouped regression results show that infrastructure investment has greater impacts on housing prices in eastern region cities than in the other cities. In contrast, in the central and western regions, land sales revenue has a greater impact on housing prices, indicating that cities in less-developed areas are more dependent on land finance than are those in more developed regions. Finally, we use the vector error correction model (VECM) to add control variables for robustness testing. The results show that land transfer income and infrastructure investment have a positive impact on housing prices. Our results provide some references for the stable development of housing markets in China.

摘要

中国的房价在近几十年经历了快速增长,土地财政一直被讨论为这一增长的重要因素。本文从政府收支的角度探讨了房价、土地出让金收入和基础设施投资之间的相互作用。基于 2000 年至 2017 年中国 35 个大中城市的面板数据,实证结果表明,土地出让金收入、基础设施投资和房价之间存在因果关系,并产生正反馈。分组回归结果表明,基础设施投资对东部地区城市房价的影响大于其他地区城市,而在中部和西部地区,土地出让金收入对房价的影响更大,这表明欠发达地区的城市比发达地区的城市更依赖土地财政。最后,我们使用向量误差修正模型(VECM)加入控制变量进行稳健性检验,结果表明土地出让金收入和基础设施投资对房价有正向影响。我们的研究结果为中国住房市场的稳定发展提供了一些参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/361b/10597497/6940d610e95a/pone.0292259.g001.jpg

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