住房、便利设施与异质性劳动力流动——微观机制与福利效应

通过构建住房和便利设施供给内生的空间均衡模型,运用人口调查数据和反事实检验方法,本文考察了住房成本和便利设施水平变动影响异质性劳动力流动的微观机制及其福利效应。研究发现:(1)住房成本随着异质性劳动力向城市集聚而显著上涨,但城市便利设施水平的提高主要得益于高技能劳动力就业规模的扩大,低技能劳动力就业增长的贡献并不显著;(2)住房成本上涨与便利设施水平提高进一步推动了异质性劳动力在城市间的流动与配置,反映在城市体系上,使得城市的规模分布分别呈现出扁平化和向大城市极化的特征;(3)就福利效应而言,住房成本上涨压缩了工资溢价带来的福利水平提升空间,但一定程度上缓解了高、低技能劳动力福利差距的扩大趋势;更高水平的便利设施促进了福利水平的提升,但也加剧了高、低技能劳动力之间的福利不平等状况。城市规模对上述福利效应存在放大机制。     

Land and housing: The twin forces of non-balanced growth

In a three-sector closed economy where housing land is accumulated for the construction of houses, we depict significant effects of housing and land market on sectoral growth. We assume agriculture is the most intensive in the use of land, followed by manufacturing and then services. In the long run, land intensity differences in conjunction with labor growth contribute to sectoral growth gaps. In the short run, due to housing land accumulation, the economy transitions along a non-monotonic convergent path to the steady state. Using the US data, we quantify that land accounts for about one-tenth of long-run and short-run sectoral output growth gaps. We also incorporate sector-specific land-use restrictions to show that, despite these regulations, land and housing have qualitative effects on non-balanced growth.     

征税能抑制企业涉房投资吗——兼论“脱实向虚”的另一条路径

近年来企业过度持有不动产的涉房投资倾向引发广泛关注，也背离了"脱虚向实"的政策导向。文章基于土地增值二次分配理论，利用2007-2019年我国沪、深两市上市公司微观数据考察了持有环节和转出环节税收对企业涉房投资行为的影响。实证结果显示：因为税基不能随房地产市场价值灵活升高，造成持有环节的房土两税表现出一定的累退性特征，从而无法有效抑制企业涉房投资；相比而言，转出环节的土地增值税能够显著抑制企业涉房投资倾向。进一步基于省级宏观面板数据的非对称反应模型估计结果显示，当前各地区土地增值税的征管力度受到地方政府的刻意操控，出现了相邻省份之间的标杆竞争现象，特别是省份间的竞低效应尤其突出，这对有效发挥土地增值税的作用产生了不利影响。文章的研究对未来进一步完善税制改革和引导企业投资"脱虚向实"具有一定的参考意义。     

Housing booms and bank growth

The rapid increase in U.S. house prices during the 2001–2006 period was accompanied by a historically rapid expansion of bank assets. We exploit cross-regional variation in local housing booms to study how housing demand shocks affected the growth of the banking sector. We estimate the effect of housing demand shocks that are orthogonal to observed non-housing demand shocks and credit supply shocks in each bank’s market area. We employ several instrumental variables that plausibly identify variation in local housing demand that is exogenous to local banks. We find that the housing boom had a large effect on bank asset growth—the cross-regional elasticity of bank growth with respect to housing demand shocks is around 0.6. The regional elasticity estimate suggests that housing demand shocks can potentially account for a large fraction of the growth of the banking sector during this period.     

The driving forces of China's business cycles: Evidence from an estimated DSGE model with housing and banking

We study the approximate sources of China's business cycles in an estimated dynamic stochastic general equilibrium (DSGE) model with housing and banking. The model replicates well the volatility and cyclicality of key macroeconomic variables observed in the past two decades in China. A host of shock decomposition exercises demonstrate that, among the shocks being considered, both financial and housing shocks are driving China's business cycles, accounting for a particularly large fraction of the variance in most macroeconomic and financial variables at the business cycle frequencies. In particular, the capital quality, housing demand, and loan-to-value shocks display prominent contributions to the business cycle fluctuations. Moreover, there exists substantial interactions between the banking and housing sectors in China, where the collateral constraint and the financial constraint amplify with each other. The results shed new light in the understanding of China's business cycles, and may serve as a useful benchmark for future quantitative analyses of China's macroeconomic fluctuations using DSGE frameworks.