试论我国拆迁法律制度之完善——兼评《国有土地上房屋征收与补偿条例（征求意见稿）》

强制拆迁已成为当前的社会热点事件,＂补偿标准不公平,拆迁方信息不公开、操作不透明,以及民意诉求渠道不畅＂是造成拆迁矛盾的主要原因。妥善处理拆迁中碰到的种种问题,不仅关系到公民财产权益的保护,同时也关系到社会稳定。当务之急的解决办法是制定一部＂以人为本,以社会为本,程序正当,规范执法＂的《拆迁法》。     

货币政策背景下房价的变动关系研究

本文在货币政策传导理论的基础上,通过向量误差修正模型(VECM)实证分析了房价在货币政策传导过程中的作用。通过分析可知,房价在货币政策传导过程中起到了一定的作用,房价渠道的传导效率整体而言比较高,由此而知货币政策和房价之间存在着一定程度的关系。     

高房价是否导致了区域高技能人力资本流出?

我国正处于由人口大国向人力资本强国转型的关键阶段,高技能人才资源已成为当今区域经济社会发展的第一资源;与此同时,我国已经历了一段房价全面上涨的时期,由房价高速上涨所导致的人才流出问题引起政府与公众的广泛关注。在此背景下,本文通过对大学生就业地选择的关注,考察了高房价对地区高技能人力资本流出的影响。本文的结果稳健地表明,高房价显著地提高了大学毕业生离开本地就业的概率;根据本文的估计,在2010年至2015年期间,房价的上升至少增加了区域高技能人才流出21.5%;特别地,房价的挤出作用对于较弱家庭背景的学生以及非一线城市更为严重,此外,高房价也影响了大学毕业生的职业选择。本文的研究结果指出了中国高房价可能影响长期经济社会发展的一个新的重要渠道;同时,通过对房价的关注,为地区与国家减少高技能人才流出,实现经济发展由要素驱动向创新驱动转变提供了新的启示。     

房价波动、金融稳定与最优宏观审慎政策

本文通过构建包含家庭住房抵押借款摩擦和银行贷款摩擦的动态随机一般均衡模型,重点考察了异质性冲击下房价波动对金融稳定的影响。研究发现,房价上涨会导致银行风险溢价及杠杆率显著上升,进而加剧金融体系的内在不稳定。为降低房价波动及维护金融稳定,选取两类宏观审慎政策工具进行逆周期调控实验,结果表明,在住房需求冲击下,金融管理部门应选取贷款价值比政策,且应对房贷积极调控,而对房价进行中性调控。在最终产品部门生产率冲击、房地产部门生产率冲击及跨期偏好冲击下,应选取资本充足率政策,但对房贷和房价调控力度的把握则存在差异。本研究为厘清房价波动对金融稳定的动态传导机制,以及金融管理部门如何选取宏观审慎政策工具以稳定房价并降低系统性金融风险提供了启示。     

Unplanned rural living and its policy implications: Some findings from Bundaberg,Australia

Research conducted in the Bundaberg Region in north-eastern Australia sought to explain the pattern of unplanned rural living and to assess whether its impacts are adverse enough to warrant land use policy change. It found there was limited conversion of suitable sugarcane land to ‘unplanned’ rural living during the 1980–2000 period. Parcels converted to unplanned rural living during this period were, on average, much smaller, had lower agricultural production potential, and were situated in more undulating and forested landscapes further from Bundaberg than parcels that remained in sugarcane production.     

34个城市的住宅财富效应:基于panel data的实证研究

本文检验了我国人均消费支出与住宅财富之间的关系。以2001—2004年34个城市为样本,使用面板误差纠正模型估计住宅财富的边际消费倾向,结果表明边际消费倾向为-0．033,并从消费者信贷约束和预防性储蓄角度进行了简要解释。     

HEDONIC PRICE INDEXES FOR RESIDENTIAL HOUSING: A SURVEY,EVALUATION AND TAXONOMY

Every house is different. It is important that house price indexes take account of these quality differences. Hedonic methods which express house prices as a function of a vector of characteristics (such as number of bedrooms and bathrooms, land area and location) are particularly useful for this purpose. I consider here some developments in the hedonic methodology, as it is applied in a housing context, that have occurred in the last three decades. A number of hedonic house price indexes are now available. However, it is often difficult to see how these indexes relate to each other. For this reason I attempt to impose some structure on the literature by developing a taxonomy of hedonic indexes, and then show how existing indexes fit into this taxonomy. Also discussed are some promising areas for future research in the hedonic field. In particular, greater use needs to be made of spatial econometric and nonparametric methods to exploit the increased availability of geospatial data. The main criticisms of the hedonic approach are evaluated and compared with those of the repeat‐sales and stratified median methods. The overall conclusion is that the advantages of the hedonic approach outweigh its disadvantages.     

What moves housing markets: A variance decomposition of the rent–price ratio

We apply the dynamic Gordon growth model to the housing market in 23 US metropolitan areas, the four Census regions, and the nation from 1975 to 2007. The model allows the rent–price ratio at each date to be split into the expected present discounted values of rent growth, real interest rates, and a housing premium over real rates. We show that housing premia are variable and forecastable and account for a significant fraction of rent–price ratio volatility at the national and local levels, and that covariances among the three components damp fluctuations in rent–price ratios. Thus, explanations of house-price dynamics that focus only on interest rate movements and ignore these covariances can be misleading. These results are similar to those found for stocks and bonds.     

基于需求角度房地产价格影响因素的实证分析

本文从需求角度分析影响房价的各因素,包括经济发展水平、城镇化水平、城镇居民收入水平和通货膨胀等,并选取一系列房地产价格的影响指标在2001-2010年的十年数据,建立31个省市房价的多种面板数据模型。对不同模型间进行选择和比较,得出最佳模型为个体固定效应模型,力图揭示各选取因素是否能够对房地产价格产生显著影响,从而确定需求层面上房价的影响因素,以及得出相应建议。     

国际碳金融市场:现状、问题与前景

碳金融市场,是温室气体排放权交易以及与之相关的各种金融活动和交易的总称,它为全球控制温室气体排放提供了重要的市场支持,同时也成为潜力巨大的金融交易市场。本文介绍了国际碳金融交易市场的市场结构、参与者与交易工具,探讨了该市场发展的缺陷并展望了影响其发展的政策前景。