垃圾处理设施对住宅价格影响的Meta分析

基于16篇垃圾处理设施对住宅价格影响的实证研究进行Meta分析,探讨垃圾处理设施引起周边住宅价格波动的影响因素,并分析这些因素具体影响作用和方向。研究结果显示：整体上,垃圾处理设施对周围住宅存在贬值效应,住宅平均贬值幅度为10.4%;距离变量、建筑变量、区位特征、邻里特征和方法变量对垃圾处理设施对周边住宅价格波动幅度具有显著影响。通过研究为垃圾处理设施负外部性的管理提供理论依据。     

基于特征价格模型的贵阳市住宅价格影响因素研究

借鉴国内外特征价格模型对住宅价格影响因素的研究理论和成果,构建贵阳市在1998~2016年间住宅价格影响的特征因素,从而建立特征因素与住宅价格的特征模型。研究表明,经济、环境和公共服务特征的特征变量与贵阳市住宅价格存在正负相关性,而旅游外汇收入、造林面积、社会福利院数、年末实有道路建设面积、供水总量显现负相关性,其他特征变量为正相关性。总之,环境保护和公共服务建设对住宅价格的影响越来越重要。     

城市轨道交通对周边住宅价格的空间效应研究

以合肥轨道交通1号线为例，使用传统特征价格模型和空间计量模型对比分析轨道交通对周边住宅价格的影响。研究表明合肥市1号线对周边住宅的价格具有显著的增值作用，且住宅价格的空间效应显著。空间滞后模型显示住宅与轨道交通站间距离每增加1 km，住宅价格下降6.09%，低于传统模型的8.6%。这说明住宅价格的空间效应会使学者们高估城市轨道交通对周边住宅价格的增值作用，即加入空间效应影响后的研究结果更加真实、可靠。     

武汉城市圈住宅价格传导路径分析

本文借鉴区域房价相关研究的＂波纹效应＂理论,通过建立向量自回归（VAR）模型,综合运用多变量Granger因果关系检验和脉冲响应函数方法,分析了武汉城市圈中武汉、黄石、鄂州三城市房价之间的互动关系。多变量Granger因果关系检验表明,三地住宅价格存在多个统计较显著的因果关系,脉冲响应函数进一步确定了三地住宅价格间影响程度和时滞。本文通过论述,以期对区域住宅价格的调控思路有一定的启发作用。     

城市轨道交通建设对沿线住宅价格的影响——基于Hedonic模型实证研究

城市轨道建设不仅可以改善城市交通状况,丰富人们的出行选择,还能极大促地进沿线房地产行业的发展。以广州地铁13号线为例,通过构建半对数Hedonic模型,选取建筑、区位、邻里特征三大类共12个变量纳入模型,实证分析地铁对沿线住宅价格的影响因素。模型结果显示:物业费对住宅价格具有正向影响;住宅距广州市中心距离是影响住宅价格的首要区位因素;地铁修建会给沿线1000m范围住宅带来价格增值,在0-1000m内呈现先升后降趋势,在200-400m内,增值比例最高。     

上海住宅价格决策模型——基于因子及偏最小二乘回归分析

本文运用基于因子分析和偏最小二乘回归分析两种方法对所选取的13个因素与上海住宅价格关系进行了研究。通过消除多重共线性问题,首次基于1990-2010年的统计数据,从供给和需求不同的角度建立了多变量下的上海住宅价格决策模型,全面反映了上海住宅价格波动的因素。研究结论表明:从长期来看,上海市住宅市场属于买方市场,即消费者主导了住宅价格的波动,但是需求弹性较小,即需求方在价格谈判中处于弱势地位。供给方面,投资总额对住宅价格的影响显著,住宅市场盲目投资严重。政府应继续加大宏观调控力度,使住宅市场更加合理高效,这样有助于上海保持人才优势,促进产业升级。     

上海住宅价格决策模型——基于因子及偏最小二乘回归分析北大核心CSSCISSCI

本文运用基于因子分析和偏最小二乘回归分析两种方法对所选取的13个因素与上海住宅价格关系进行了研究。通过消除多重共线性问题,首次基于1990-2010年的统计数据,从供给和需求不同的角度建立了多变量下的上海住宅价格决策模型,全面反映了上海住宅价格波动的因素。研究结论表明:从长期来看,上海市住宅市场属于买方市场,即消费者主导了住宅价格的波动,但是需求弹性较小,即需求方在价格谈判中处于弱势地位。供给方面,投资总额对住宅价格的影响显著,住宅市场盲目投资严重。政府应继续加大宏观调控力度,使住宅市场更加合理高效,这样有助于上海保持人才优势,促进产业升级。     

基于享乐分析的西安住房价格实证研究

享乐(Hedonic)分析是指基于商品价格取决于商品各方面属性给予消费者的满足这一效用论而进行分析的一种方法.文章通过对西安市住宅市场的分析,提出影响房地产价格若干主要因素假设,构建了西安住房价格的Hedonic模型,并以"西安搜房网"及"西安房地产网"提供的相关数据进行实证研究,最后给出影响西安市住宅价格的主要因素以及西安住宅的Hedonic价格模型.文章对房地产企业的定价以及消费者投资具有一定的参考价值.     

邻避设施对住宅价格的空间影响研究

城市邻避设施的建设不仅破坏了周围的生态环境,危害居民的身体健康,在一定程度上也对住宅价格产生了影响与波动。本文以宁波市为研究区,利用2018年7-9月的17619条住宅单元相关数据,构建特征价格模拟,探讨六类邻避设施对住宅价格的空间影响效应。结果表明:第一,进入模型的邻避设施变量对住宅价格均产生了负面影响;第二,各类邻避设施对住宅价格的影响程度和影响范围差异显著;第三,对住宅价格影响程度较大的前10个特征变量中,邻避设施变量占近1/3,其影响效应不容忽视。     

具有微观基础的上海市住宅价格影响因素研究

文章根据特征价格模型和1120个上海市新建住宅交易样本建立了上海市住宅价格指数,并以此为基础修正CREIS上海指数得到上海同质住宅价格指数,从而有效的排除了住宅微观属性差异对价格波动的影响。以1995—2010年上海市宏观经济数据为样本,从供给、需求、宏观、投资4个方面选取16个社会经济指标,通过主成分分析得到影响上海市住宅价格的4个主成分,选取主成分代表指标求出其与上海同质价格指数的回归方程。研究结论认为,宏观经济发展是上海市住宅价格波动的主要影响因素,和供求因素共同决定了住宅价格,投资因素对与住宅价格波动并无显著影响。     

Home value misestimation and household behavior: Evidence from China

Households often make errors when self-assessing their housing wealth. By using the Chinese Households Finance Survey, we show that Chinese urban households systematically overestimate their home value. This bias is significantly related to household consumption: a one standard deviation increase in the extent of estimation bias is associated with a 10% increase in household consumption. Our main results are robust against a variety of robustness checks, e.g., taking into account the expectations of future home price, using the interviewee's estimation as the instrumental variable for the household self-estimation, implementing the hedonic model on an external data source to assess real homevalue, etc.. Further, we show that overestimated households are more likely to take risk in financial market, and have a larger amount of immediate and conspicuous consumption. These findings have policy implications for the recent debate about property tax, indicating the unintended consequences of property tax through providing more precise information about home value.     

Capitalization of Flood Insurance and Risk Perceptions in Housing Prices: An Empirical Agent‐Based Model Approach

Federally regulated or insured lenders in the United States are mandated to require flood insurance on properties that are located in areas at high risk of flooding. Despite the existence of this mandatory flood insurance requirement, take‐up rates for flood insurance have been low, and the federal government's exposure to uninsured property losses from flooding remains substantial. Meanwhile, the value of capital at risk varies significantly with flood events and changing risk perceptions, which necessitates mechanisms that stabilize these dynamics. In this article we discuss how a scenario of complete insurance uptake, under various risk attitudes, affects the value of properties in the 100‐year and 500‐year flood zones. Our results indicate that an increase in flood insurance uptake may provide such a mechanism by lowering the value of capital at risk in the flood zone consistently, independent of homeowners' risk attitudes. We apply an empirical adaptive agent‐based model to examine the capitalization of insurance costs, risk premiums, and their interaction in housing prices. Our approach combines widely‐used empirical hedonic analysis with the computational economic framework. We highlight the usefulness of our method in capturing the marginal implicit price of homeowners' preferences that may change over time and separately assess the effect of various factors and policies on property values, illustrating the agent‐based modeling as a valuable complement to traditional hedonic analysis.     

A Latent Structure Approach to Measuring Reputation

The present study provides estimates of reputation as a dynamic latent variable that is determined by price premiums and market data. Further, it analyzes the effect of extrinsic factors on reputation. Specifically, this study seeks to (i) quantify the reputation of Washington apples over time, (ii) study the dynamic nature of reputation, and (iii) analyze the effect of the label “Washington Apple.” The model adopted in this study is the dynamic multiple-indicator multiple-cause (DYMIMIC) modeling approach, which is a special case of the general latent variable modeling scheme called “state-space” models. Both DYMIMIC and hedonic approaches are applied to the data on Washington apples, and results from the two approaches are compared.     

The impacts of distance to CBD on housing prices in Shanghai: a hedonic analysis

It is widely recognized that location is the primary determining factor of housing price. But to what extent the variation of housing price in Shanghai can be explained by the locational factor has not been empirically examined. In this paper, we examine the power of applying the hedonic method to the spatial-statistical analysis of housing prices in Shanghai. The data we use covers all new commercial residential housings sold in Shanghai during July 2004 and June 2006. The main focus in this paper is to examine the effect of geographical distance to city centre on the selling price of residential housings in Shanghai. We also discuss how the price gradient varies at different directions in Shanghai. Finally, we demonstrate the importance of applying quality control on the development of a housing price index. The statistical methodology and empirical results obtained in this paper carry interesting implications for other cities in China as well.     

Does hedonic price indexing change our interpretation of economic history? Evidence from Swedish electrification

Rapid price decreases for ICT products in the 1990s have been largely attributed to the introduction of hedonic price indexes. Would hedonic price indexing also have had large effects on measured price and productivity during earlier technological breakthroughs? This article investigates the impact of hedonic and matched model methods on historical data for electric motors in Sweden from 1900–35. The results show rapidly decreasing prices in the industry producing electric motors in the 1920s. However, the price decreases of electric motors in the 1920s were not on a par with price decreases for ICT equipment in the 1990s, even if hedonic indexing is used.     

North versus South: The Impact of Social Norms in the Market Pricing of Private Property Rights in Vietnam

Despite a centralized political system, country-wide legal reforms, and similar high housing demand pressures, property rights have evolved differently in Vietnam’s two leading cities, Hanoi and Ho Chi Minh City (HCMC), during the transition period. Using ethnographic fieldwork and a hedonic price model, the study shows that the two land and housing markets price tenure ambiguity differently. The different price structures indicate the importance of norms, as socially constructed by local political interests and culture, in the efficacy of land title regularization programs.     

What happens to land price when a rural construction land market legally opens in China? A spatiotemporal analysis of Nanhai district from 2010 to 2015

Urban and rural construction land markets in China, the two formerly separated markets, are beginning to be unified in some pilot areas. So far, but little is known about the associated land market development patterns and what factors influence land market price. In order to examine the impact of urban developers' access to legal rural construction land market on land price, we analyzed the spatiotemporal heterogeneity of price trends for the rural-urban land market in Nanhai district, Guangdong Province, between 2010 and 2015. We collected 2285 land transaction data during that span and mapped price contour lines for the rural-urban development land market in the whole district by using spatial interpolation techniques. Four hedonic price models, on rural and urban construction land respectively, were developed to measure the marginal effects of land attributes on price. Results from the analysis suggest that, temporally, the prices of rural-urban development land grew rapidly between 2010 and 2015. Spatially, prices spread along a gradient from east to west, and the prices in North Nanhai district were significantly higher than those in the south. The hedonic models also suggest that land use type, lot size, and various spatial characteristics impact rural and urban land prices. Overall, this research presented here contributes our understanding of the complex nature of establishing a unified land market in China.     

The impact of highways on commodity prices: The price of butter in Japan

This study empirically investigates the effect of highway construction on retail prices of butter in Japan. We consider the relocation of butter producers owing to the development of highways. We observed that highway construction increased transportation speed; however, the average transportation time from the production site dramatically increased with the increase in transportation distance. This was because of the concentration of butter factories in limited regions. Consequently, on average, the increase in transportation time during 1966–1980 raised the price of butter by 3.3 %. Furthermore, while the increase in speed reduced the price by 2 %, the increase in transportation distance increased the price by 5.3 %.