关于提高住宅有效购买力的几点思考

随着我国住房制度改革的推进 ,房地产业面临着前所未有的发展机遇。然而 ,几年过去了 ,我们却不得不面对住宅潜在需求和有效需求不足的尖锐矛盾。产生这一现象的原因是多方面的 ,笔者认为最主要的原因在于商品住宅价格偏高、住房金融市场发展缓慢以及住房交易市场不健全三个方面。因此 ,要使住宅产业真正成为消费热点和新的经济增长点 ,就必须努力降低现有商品住宅价格、加快住房金融市场的发展以及完善住房交易市场     

货币和税收政策对我国住房价格的影响——基于VAR模型的实证研究

基于我国1999-2010年房地产市场季度数据,本文建立向量自回归模型(VAR)和向量误差修正模型(VEC),将住房供给和需求同时纳入模型,分析我国利率政策、信贷政策和税收政策对住房价格的影响。结果显示,贷款利率在短期内对住房供给有负效应,但长期效应不明显;贷款规模对住房价格的短期冲击明显,二者之间存在正相关关系;针对保有环节征税可以通过影响住房供给,从而有效抑制住房价格上升。根据我国住房供求特点,应优先选择税收工具,通过促进住房供给实现控制房价的政策目标。     

基于信息不对称房价博弈模型的优化均衡研究

目前我国住宅市场存在严重的信息不对称,如何进行规制引起多方关注。首先利用房价博弈模型研究我国住宅市场信息不对称下的非理性均衡和精炼优化的序贯均衡,进而探求政府对市场房价经济优化规制后的理性序贯均衡,以此提出政府对住宅产业的规制方式和对策建议。     

住房价格的特征法分析与“夹心层”住房需求的实证估测

本文基于对上海市600余名夹心层(青年白领)人士的问卷调查,采用特征价格法模型计量测度了住房关键性特征对上海住房价格的影响。在此基础上,根据上海市夹心层真实住房需求分布情况推算出该群体期望住房的市场价格,从而为进一步衡量夹心层住房购买力缺口提供科学依据。     

住房价格的特征法分析与“夹心层”住房需求的实证估测

本文基于对上海市600余名夹心层（青年白领）人士的问卷调查,采用特征价格法模型计量测度了住房关键性特征对上海住房价格的影响。在此基础上,根据上海市夹心层真实住房需求分布情况推算出该群体期望住房的市场价格,从而为进一步衡量夹心层住房购买力缺口提供科学依据。     

Estimating the Demand for Housing, Land, and Neighbourhood Characteristics

This paper provides estimates of the structure of demand for individual housing and neighbourhood characteristics and for land in two British cities. We estimate a hedonic price function, and from this obtain the implicit prices of house attributes. These prices are used to estimate a demand system for each city. These perform well, and enable us to calculate price and income elasticities for each of the non-dichotomous characteristics and for land. To counteract criticisms of demand estimates derived within the hedonic framework a method is developed for selecting an appropriate set of instrumental variables. Estimates derived from this method, however, differ only slightly from those obtained using the conventional techniques. Several features of these estimates provide insights into the unusual characteristics of the British housing market, the effects of constraints imposed by land use planning, and the effects of changing income distribution on the structure of demand.     

城市经济对住宅价格影响研究--以35个大中城市为例

住宅市场具有很强的地域特性,不同城市由于经济发展等因素的影响,造成住宅价格具有较大的差异。将城市经济分为城市经济规模、城市产业结构和城市经济效率,以35个大中城市为例,运用静态面板数据模型研究城市经济对住宅价格的影响。结果表明,城市经济对住宅价格具有很强的正相关作用,尤其是城市经济规模和城市产业结构。城市经济规模方面,GDP、地方财政支出对住宅价格具有显著的正面影响;城市产业结构方面,第三产业增加值占GDP比重越高,住宅价格越高;城市经济效率方面,人均地方财政收入和第二、三产业增加值与建成区面积之比都对住宅价格具有显著的正相关性。因此,城市在区域经济一体化的带动下将追求创新高效率的发展,同时优化城市空间结构和产业结构,有助于住宅市场的健康发展。     

The determinants of homebuilder stock price exposure to lumber: Production cost versus housing demand

We study the economic linkage between homebuilder stock market performance and commodity futures market information on a major component of building materials—lumber. The price of lumber plays a dual role in determining homebuilder profits: it represents a production input cost and serves as a future housing demand indicator. Using all US publicly listed homebuilder stocks, we show that the housing demand effect dominates the builder–lumber relationship. This effect is robust even after we control for the Federal Housing Finance Association (FHFA) housing price index (HPI). Our results further indicate that the slope of the lumber futures curve serves as a cross-market signal of future housing demand and thus of homebuilder stock market performance.     

中国城市居民住房支付能力研究

虽然住宅价格是由住宅市场的供给和需求决定的,但从长期来看,住宅价格应该与城市居民家庭的住房支付能力相适应.评价住房支付能力的指标有房价收入比(PIR)和住房可支付性指数(HAI),房价收入比用于判读住房价格是否合理,而住房可支付性指数能够反映家庭购买住房的还贷能力.论文通过计算2004年我国34个主要城市的房价收入比和住房可支付性指数,对我国城市居民的住房支付能力进行了城市排序.参照国外相关指标的评价标准,论文采用Pareto累计图的评价方法,得出了我国当前房价收入比和住房可支付性指数的分布区间.论文的研究成果既可作为政府调控城市住宅市场发展的依据,也可作为居民投资置业的依据.     

Testing the efficiency of the Norwegian housing market

The question of whether or not the housing market is efficient is posed by an increasing number of economists, policymakers, homebuyers, and homesellers. This article tests the efficiency hypothesis on data from the housing market in Oslo over the period 1991–2002, employing the Case–Shiller time-structure test on a repeat-sales house price index and returns to housing. We demonstrate that both the repeat-sales house price index and returns contain time structure and that the housing market is characterized by inefficiencies. We also find, surprisingly, that the housing market consistently yields higher appreciation at lower volatility than the stock market over the period.     

不同类型调控政策对房地产市场影响的实证分析——以江苏省为例

近年来,国家对房地产宏观调控采取的多种政策,可划分为五类,即房地产开发投资规模、土地供应、金融信贷、住房供给结构、税收等政策。文中就这五类政策对房地产市场的影响进行了实证分析和定性分析。实证分析中采取了12个指标,利用了向量自回归模型和广义脉冲响应函数,就五类调控政策和市场形势对住房价格、成交量以及住房需求的影响时间和影响程度进行分析。定性分析中主要分析利率、税收、广义货币供应量M2、高房价等四个因素变化对住房价格、成交量以及住房需求的影响。     

The baby boom,the baby bust,and the housing market

This paper explores the impact of demographic changes on the housing market in the US, 1st by reviewing the facts about the Baby Boom, 2nd by linking age and housing demand using census data for 1970 and 1980, 3rd by computing the effect of demand on price of housing and on the quantity of residential capital, and last by constructing a theoretical model to plot the predictability of the jump in demand caused by the Baby Boom. The Baby Boom in the U.S. lasted from 1946-1964, with a peak in 1957 when 4.3 million babies were born. In 1980 19.7% of the population were aged 20-30, compared to 13.3% in 1960. Demand for housing was modeled for a given household from census data, resulting in the finding that demand rises sharply at age 20-30, then declines after age 40 by 1% per year. Thus between 1970 and 1980 the real value of housing for an adult at any given age jumped 50%, while the real disposable personal income per capita rose 22%. The structure of demand is such that the swelling in the rate of growth in housing demand peaked in 1980, with a rate of 1.66% per year. Housing demand and real price of housing were highly correlated and inelastic. If this relationship holds in the future, the real price of housing should fall about 3% per year, or 47% by 2007. The theoretical model, a variation of the Poterba model, ignoring inflation and taxation, suggests that fluctuations in prices caused by changes in demand are not foreseen by the market, even though they are predictable in principle 20 years in advance. As the effects of falling housing prices become apparent, there may be a potential for economic instability, but people may be induced to save more because their homes will no longer provide the funds for retirement.     

限购政策对城市住房市场的调控效应分析——以天津市为例

为评估限购政策对城市住房市场的调控效应,借助灰色系统理论的灰色关联分析法构建数学模型,以天津市为例,对限购政策实施前后城市住房市场的变动情况进行了比较分析。结果显示,与限购政策实施前相比,天津市的住宅现房销售面积、住宅期房销售面积在时间上均出现了明显的滞后;住宅施工面积在时间上则未明显的变化;住宅投资完成额和住宅新开工面积在时间上则有少许提前。由此可以认为,限购政策的实施引起了住房市场供需双方行动方向的分异,降低了需求者群体的住房需求量,加快了供应者群体的供应速度,增加了市场住房供应量。     

House Prices, Housing Investment and Demography Forecasts from the LBS/Abbey National Model of the UK Housing Market

A new housing sector has been incorporated into the London Business School model. This article outlines the new housing model, summarizes the research which has gone into its construction, and presents a forecast of the UK housing market. Using the new housing model, we forecast a moderate recovery in the housing market in the later part of 1991 and 1992. This recovery is however short-lived and does not result in such high rates of house price increase as previous house price booms (Chart 1).
Cuts in interest rates following entry to the exchange rate mechanism of the EMS prompt a recovery in house prices from the middle of 1991. House price inflation then peaks with an increase in average UK house prices in 1992 of 11 per cent over the previous year. Increases in real personal disposable income are modest, by the standards of the 1980s, and for this reason the recovery does not develop the momentum of previous house price booms. House price inflation moderates again in 1993 falling back to around 7 per cent. Housing starts and housing investment recover only slightly from their present depressed levels.
the recovery in house prices is weaker than that foreseen in our April Forecast Release. This is because real personal disposable income is now forecast to grow more slowly during 1991. Sterling's membership of the ERM is followed by a fall in interest rates, but it is the timing of interest rate cuts rather than their magnitude which differs from the earlier forecast. The changed profile of interest rates has altered the house price forecast only marginally.     

房价逆调控而上涨的政策性原因与对策

针对近期我国房价快速上涨、房地产商及高价商品房主导市场、住房投机愈演愈烈、中低收入阶层住房困难等问题,作者对北京房地产市场进行了调查研究,并从中发现了一些值得探讨的问题.本文通过对廉租房、经济适用房、商品房、出租房现状及相关政策进行客观分析,揭示了我国高房价的症结及一些政策方面的原因.文中以调查研究为依据,提出了强化政府责任、完善住房保障政策的个人看法与建议.     

旁地产市场宏观调控治“标”更应治“本”

房地产价格的过快上涨直接影响着居民住房问题的解决,房地产市场的异常火爆,也使我国经济的长期稳定发展潜藏着一定的风险隐患。本文透过近年来我国房价飞涨的表象,从更深的层面剖析了导致我国房地产业畸形发展的根源性因素,进而提出加强房地产宏观调控的政策建议：一是地方政府应进一步增强服务功能,落实好民生问题;二是国家应以培育创新创业体系作为经济增长的切入点,不断提高自主创新能力;三是进一步规范与完善资本市场,合理引导资金流向,拓宽投融资渠道;四是加大对住宅的政策性金融扶持力度,改善住房的供给结构,切实解决中低收入居民购房的资金需求。     

House price synchronization across the US states: The role of structural oil shocks

This paper analyzes the impact of disentangled oil shocks on the synchronization in housing price movements across all the US states plus DC. Using a Bayesian dynamic factor model, the house price movements are decomposed into national, regional, and state-specific factors. We then study the impact of oil-specific supply and demand, inventory accumulation, and global demand shocks on the national factor using linear and nonlinear local projection methods. The impulse response analyses suggest that oil-specific supply and consumption demand shocks are most important in driving the national factor. Moreover, as observed from the regime-specific local projection model, these two shocks are found to have a relatively stronger impact in a bearish rather than a bullish national housing market. Our results have important policy implications.     

房地产市场调控，要坚持更要完善——“十年调控”问卷调查的启示和思考

通过对196份问卷的总结分析，得到对于未来房地产调控的许多启示：十年房地产调控是必要的；总体评价消极的依据是供求依然失衡，房价越来越高。调控成效不彰的原因有：对住房供求政策、调控配套政策评价消极，还认为财政税收压力是地方政府不积极的首要原因。大多数问卷建议：推动供求和房价基本稳定还是调控首要目的确立；房价合理上升的几个界限；房地产调节机制应该以市场调节为主、政府调节为辅；明确住房需求政策、住房供给政策、住房土地政策、经济手段、行政手段和税收手段改进的方向。     

Dissecting the myth of the house price in Chinese metropolises: allowing for behavioral heterogeneity among investors

This paper aims to demystify the housing boom in Chinese metropolises by allowing for behavioral heterogeneity among investors. We construct an agent-based model where investors are categorized into two groups: fundamentalists and chartists. In addition, the investment strategy switching is allowed between these two groups contingent on the historical performance. Using the data of five Chinese metropolises over the period 2008–2014, the results suggest that chartists dominate the housing market and make the house price maintain an upward trend, while fundamentalists play a stabilizing role. Specifically, fundamentalists can serve as a “price anchor” in the market, because the proportion of the fundamentalists is negatively associated with both the growth rate of the house price and the deviation relative to the fundamental value. Overall, the impact of the chartists on the house price is much greater than that of the fundamentalists, which contributes to the ever-increasing house price in Chinese metropolises.

     

基于价值链的桂林房地产企业战略分析

桂林是中国著名旅游城市之一,城市环境的改善派生了大量的购房需求。由于桂林城区的房价在全国房价水平中处于中低位,因此其房地产产品具有良好的增值预期,吸引了大量资本进入桂林的房地产市场,使当地房价持续保持稳步上升的趋势。文章结合房地产开发价值链的特点,探讨桂林房地产企业的发展机理、发展策略。