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排序方式: 共有709条查询结果,搜索用时 15 毫秒
1.
The spatial spillovers of housing prices across regions are well documented by a large body of previous studies. This paper tries to investigate the dynamic (time-varying) evolution of spatial interactions and their underlying driving factors intensively. Using a recently developed Generalized Autoregressive Score (GAS) model, this paper examines the time-varying spatial spillovers of housing prices in 70 major and median cities of China from 2006 to 2019. We find that the GAS model can well capture the impact of time-varying critical events of Chinese real estate market on the whole. However, different regions display heterogeneous variation patterns over time. Further investigation shows that inter-regional labor mobility and trades are two major channels, accounting for 1.25% and 2.58% of the monthly standard deviations of spatial spillover effects from one city to another, respectively. We also characterize and distinguish between three time-varying patterns of spatial spillovers within different regions of China. Our results shed lights on the understanding of spatial spillovers across regional real estate markets across different city network structures within China.  相似文献   
2.
本文扩展Dong et al.(2019)通过企业家对住房地产和实体经济投资进行资产组合决策,把房价、投资、消费和产出等重要经济指标纳入主流新凯恩斯框架,考虑银行能否区分贷款是投入实体经济还是房地产业两种情形,分析了房产税引入住房市场前后对宏观经济的影响效应。研究结果表明:开征房产税对房地产开发投资、房价和新住房生产具有明显的抑制作用,对实体经济投资则具有正挤入效应增加和负抵押效应减少的双重效应。从短期看,当银行无法区分企业贷款是投入实体经济还是房地产业时,因前期的负抵押效应大于正挤入效应,总实物资本减少,产出下降;当可清晰区分二者时,负抵押效应变为小于正挤入效应,总实物资本增加,产出上升。鉴于推出房产税对宏观经济影响较为复杂,应充分权衡利弊,采取必要辅助措施趋利避害。  相似文献   
3.
Social inequalities induced by education accessibility are widespread and concern land use policy makers globally. Yet much of existing research heavily emphasizes on uncovering the spatial patterns of housing price in relation to education resources. This paper aims to renew our understanding of this classical topic by bringing the importance of temporal and institutional dynamics to the fore. Specifically, this research presents a detailed examination of the relationship between school quality and housing rental dynamics under the intervention of equitable housing policy, with special reference to Shanghai, the most developed megacity in China, also one of the first Chinese cities granting equal rights for renters to access schools within the catchment area. Based on time-series housing rental data collected from social media, the t-test discovers that school quality has a significant impact on housing rental prices after the introduction of this new housing policy. Moreover, housing rental prices within high-quality school districts are significantly higher than those within ordinary school districts. The hedonic model and variance partitioning further confirm that school quality is capitalized into housing rental prices, and its relative contribution varies with temporal periods. More specifically, how the relative contribution of school quality changes over time is consistent with the schedule of primary school enrollment and sensitive to policy intervention. The difference in difference model foregrounds that the equitable housing policy does result in rental prices hike in high-quality school districts, i.e., a 13.5 % rental premium of housings within high-quality school districts compared with those within ordinary ones. We conclude that the equitable housing policy fails to achieve the expected goal and propose alternative suggestions for mitigating social inequalities in education accessibility. This study demonstrates a novel methodological framework for evaluating the social consequence of equitable housing policy based on social media data. It unravels how housing rental changes with school district division and the capitalization effect of school quality in housing rental prices.  相似文献   
4.
The social and economic implications of the Airbnb phenomenon have been the subject of much research. Yet, the academic literature on Airbnb is nascent. Specifically, the issue of whether major macroeconomic conditions affect the supply of Airbnb has not been investigated. To address this gap, we propose a conceptual model that explains the determinants of Airbnb supply and examine the extent to which major macroeconomic factors affect the supply of Airbnb. Specifically, we analyze the effects of hotel room rates (ADR), hotel demand, tourism demand, house prices, gross domestic product (GDP), wages and unemployment on the supply of Airbnb in 50 U.S. states. Results show that increases in hotel ADR, house prices, and GDP have contributed to an increase in the supply of Airbnb, whereas increases in unemployment rates and wages have adverse effects on Airbnb supply. Theoretical and policy implications are discussed within realms of macroeconomic theory.  相似文献   
5.
The issue of what to promote in total factor productivity (TFP) in urban areas has been widely discussed in academia and housing prices and population density are confirmed to be two of the most essential driving factors. However, research into the interaction of housing prices and population density with TFP has been neglected, with no previous studies taking spatial factors into consideration, which may bias the results. From this perspective, using spatial panel data models and employing instrumental variables to solve the endogenous problem, this study examines the impact of housing prices on TFP through the mediating effect of population density for 283 Chinese cities during the period 2000–2013, and confirms that the mediating effect accounts for 18.70 % of the total effect. The results show the positive and significant association of housing prices with TFP and the inverted U-shape of population density. The underlying logic is that housing prices change population density by attracting people with high purchasing power and discouraging those unable to afford housing, whereas increased density helps to promote productivity since the settled inhabitants always have highly developed work skills and are well educated. The influencing mechanism of housing prices on TFP through population density is analyzed, namely the spillover effect. We find that the spillover effect exists in the eastern and central regions, as well as first, second, and third tier cities, while for western regions and fifth tier cities, population mobility and increased in housing prices slows their economic development. There is no evidence of any spillover effect in fourth tier cities. A discussion and suggested policy implications are also provided.  相似文献   
6.
We study the house allocation problem with existing tenants: n houses (stand for “indivisible objects”) are to be allocated to n agents; each agent needs exactly one house and has strict preferences; k houses are initially unowned; k agents initially do not own houses; the remaining nk agents (the so-called “existing tenants”) initially own the remaining nk houses (each owns one). In this setting, we consider various randomized allocation rules under which voluntary participation of existing tenants is assured and the randomization procedure either treats agents equally or discriminates against some (or all) of the existing tenants. We obtain two equivalence results, which generalize the equivalence results in Abdulkadiroğlu and Sönmez (1999) and Sönmez and Ünver (2005).  相似文献   
7.
This paper presents a model for housing markets with interdependent values. We introduce private information on the quality of a house (i.e., high or low), which is known only to the initial owner. Interdependency means that the ex-post preference of an agent depends on the private information of the other agents with regard to the quality of houses. We prove that on a domain satisfying a richness condition, the no-trade rule is the only rule that satisfies ex-post incentive compatibility and ex-post individual rationality.  相似文献   
8.
The forecast of the real estate market is an important part of studying the Chinese economic market. Most existing methods have strict requirements on input variables and are complex in parameter estimation. To obtain better prediction results, a modified Holt's exponential smoothing (MHES) method was proposed to predict the housing price by using historical data. Unlike the traditional exponential smoothing models, MHES sets different weights on historical data and the smoothing parameters depend on the sample size. Meanwhile, the proposed MHES incorporates the whale optimization algorithm (WOA) to obtain the optimal parameters. Housing price data from Kunming, Changchun, Xuzhou and Handan were used to test the performance of the model. The housing prices results of four cities indicate that the proposed method has a smaller prediction error and shorter computation time than that of other traditional models. Therefore, WOA-MHES can be applied efficiently to housing price forecasting and can be a reliable tool for market investors and policy makers.  相似文献   
9.
This paper shows, using data from the Family Income and Expenditure Survey, that housing credit has become increasingly available over time in Japan, especially since 2000, and that this has made it easier for Japanese households to purchase housing and enabled them to do so at an earlier age. However, it also shows that the greater availability of housing credit has increased households’ housing loan repayment burden, which has resulted in their cutting back on their other consumption expenditures and created the potential for retirement insecurity. Another concern is that the increasing availability of housing credit has been accompanied by a pronounced shift from fixed-rate to variable-rate housing loans. This is cause for concern given the low level of financial literacy that prevails among the Japanese population and the likelihood that interest rates on variable-rate housing loans will be raised sooner or later as monetary policy is tightened.  相似文献   
10.
王亚楠 《南方经济》2020,39(3):40-52
文章应用CFPS2010、2012、2014年的调查数据,以房价收入比指数作为"房价压力"的代理变量,探讨了房价压力对文化消费的影响机制。在我国房价收入比畸高的社会环境下,消费者同时受到"释放压力型"消费需求的驱使和可支配收入减少的预算约束,为了缓解生活压力,获得心理慰藉,增加了对相对廉价且非必需的文化消费品的需求,即口红效应成为房价压力影响文化消费的传导机制。研究发现:控制户主受教育水平、家庭其他生活压力、地区经济发展水平和文化消费氛围等因素,在城镇中仅拥有一套及以下住房资产的家庭中,高"房价压力"显著提升了居民文化消费需求。在影响机制研究中,首先,通过验证房价压力对总消费的抑制作用剥离了财富效应的影响,其次,通过验证房价压力对大额消费品和小额消费品影响的异质性,证实了房价压力对文化消费影响口红效应的存在性。进一步将研究样本按照消费文化类型、收入阶层和受教育阶层分组后发现:开放的消费文化下高"房价压力"对居民文化消费的促进作用更强,中等收入阶层在高"房价压力"下进行"释放压力型"文化消费的需求最强烈。高学历层次居民在面对"房价压力"时更倾向选择文化消费作为释放压力的渠道。  相似文献   
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