Determinants of Housing Liquidity in Chinese Cities： Does Market Maturity Matter？

Housing liquidity measures the ability to convert housing to cash as an important characteristic of housing stock. A simple model of buyer offers＇ distributions was used to theoretically explore the determinants of housing liquidity in a search process. An empirical ordinary least squares model of the time-on-market was developed using data collected in four Chinese cities （Beijing, Shanghai, Guangzhou, and Shenzhen）. The results show that in these four Chinese cities, market maturity dominates the variation of housing liquidity, with the effects of housing characteristics, seller＇s search cost, search strategy, and market conditions being less significant to the time-on-market equation. These empirical results indicate that the slow turn-over of housing stock may constrain the overall level of housing liquidity in major Chinese cities.     

Housing Pricesand General Economic Conditions： An Analysis of Chinese New Dwelling Market

This paper presents an investigation of the interaction between housing prices and general economic conditions in China for the period of 1986-2002, The empirical results indicate that housing prices in China are predictable by market fundamentals, which could explain most of the variations in housing prices. The results of Granger causality tests confirm that unemployment rate, total population, changes in construction costs, changes in the consumer price index (CPI) are all Granger causalities of housing prices, with feedback effects observed to affect the vacancy rate of new dwellings, changes in CPI, and changes in per capita disposable income of urban households, Studies with impulse response functions further illustrate these relationships in terms of the degree of the impact on housing prices from the determinants and the feedbacks, The findings indicate that there is a long-term equilibrium relationship between housing prices and market fundamentals in China and it is the identified fundamentals that drive housing prices up, rather than a bubble,     

Housing Price Fluctuations Across China： An Equilibrium Mechanism Perspective

The mechanisms affecting housing prices were studied using the equilibrium housing prices based on classic supply/demand theory. The fluctuations of the actual housing prices were then analyzed relative to the equilibrium prices. The equilibrium prices for each area were calculated from economic statistics and housing prices in 35 China metropolitan areas. The fluctuations of the actual prices are then manifested as functions of the equilibrium price, the mean reversion, and the autocorrelation coefficient. The results show that the equilibrium prices are determined by the basic economic conditions in China and that the equilib-rium prices greatly affect the fluctuation of the actual prices, which return to the equilibrium price through self-adjustments. The data also shows that the actual prices in China have the trend of continuing to rise in the future.     

Fractals in Spatial Patterns of Vegetation Formations

Introduction The quantification of spatial patterns, a focal subject in ecological research, is used as a foundation for meas-urement and analysis of the quality of habitats and the biodiversity[1]. Historically, the dominant approach has been used to cho…     

Estimating the Willingness-to-Pay for Urban Housing in Chinese Cities

The housing market, an important component of the urban economy, is closely integrated with urban development. Urban development attracts labor inflows which then increase the housing demand in the cities. Urban dwellers’ willingness-to-pay (WTP) for housing, as part of their living costs, depends on their incomes they can earn in the cities and the quality of life (QOL) they want to enjoy. Urban wage growth and quality of life improvements are always accompanied by increased demand and increased WTP. This ...     

A systematic method based on statistical pattern recognition for estimating product quality on-line

To avoid the complexity of building mechanistic models by studying the inner nature of the object, a systematic method based on statistical pattern recognition is developed in order to estimate the product quality on-line. The mapping relationship between a feature space and a product quality space can be built by using regression analysis, and in applying clustering analysis the product quality space can be partitioned automatically. Eventually, estimating product quality on-line can be accomplished by sorting the mapped data in the partitioned quality space. A concrete problem is proposed which has a relatively small ratio of training data to input variables. By implementing the method mentioned above, a satisfying result has been achieved. Furthermore, the further question about choosing suitable mapping methods is briefly discussed.     

Development of Exterior Anti-corrosion Coating Production Line for Large Diameter Hot Bent Pipes

The epoxy powder exterior anti-corrosion coating production line for bent pipes with a single (double) course production is a technologically advanced bent pipe anti-corrosion method with cost efficiency, environment friendliness and stable coating quality. The quality of the coating on the bent pipe fully meets the requirements of the current national and industrial standards. The application of the technology has filled the gap in the bent pipe anti-corrosion coating area of China, and leads the world technologically. With this technology the coating quality of the bent pipe has greatly improved, resulting in significant social and economic benefits. With the use of the technology in various large scale pipeline projects such as the “West to East Gas Pipeline Project”, it will exhibite a greater potential in the future pipeline projects with a broad application prospect.     

Deep reinforcement learning based task offloading in blockchain enabled smart city

With the expansion of cities and emerging complicated application,smart city has become an intelligent management mechanism. In order to guarantee the information security and quality of service(QoS) of the Internet of Thing(IoT) devices in the smart city,a mobile edge computing(MEC) enabled blockchain system is considered as the smart city scenario where the offloading process of computing tasks is a key aspect infecting the system performance in terms of service profit and latency.The task off...     

Cultural Differences in Trademark Translation

.IntroductionThe main characteristics of a trademark are to contain andtransmit the relative message of the commodity.Therefore,thetranslation of trademark is of vital importance in its sale situa-tion in the foreign countries,and its quality will have a …     

LAND SUPPLY AND HOUSING PRICE:THE CASE IN HONG KONG

In this study we examine the relationship between land supply and housing price, percentage of land premium in the total government revenue and housing price, with reference to Hong Kong from 1981 to 1994. To do this we employ the Granger causality method to test the underlying hypothesis whether Hong Kong Government adopt high land-price policy. We use the first difference of data to ensure the stationarity in time series with the help of augmented Dick-Fuller unit root test. The results of the paper suggest no strong evidence to support the view that the land control of the government has caused soaringly rising housing prices. The findings also apparently implicate that the government has the revenue-maximizing behavior which is consistent with efficient allocation of resources.     

北京住户满意度调查

采用顾客满意度理论及其软件分析了北京居民的住宅需求和商品房的质量状况.针对住宅的特有性质,对一般的顾客满意度模型进行了改造,引入住房金融及政府住宅政策因素作为满意度指数的可测变量.2002～2003年进行了两次住户满意度调查,抽样调查结果指出了住宅品质的改进方向,并且阐明了北京住宅市场的现实和潜在需求.     

基于结构方程模型的装配式住房住户满意度研究

结合装配式住房施工进度快、节省人力和节能环保等特点,对其住户的满意度进行了研究.基于美国用户满意度指数(ACSI)模型,构建了装配式住房住户满意度结构方程模型,并对模型的拟合程度和显著性进行了检验.通过路径分析得到了影响装配式住房住户满意度的各因素重要程度,重要性排序为:住户感知价值>住户感知质量>开发商形象>住户预期质量.根据模型测评结果,提出了提高装配式住房住户满意度的持续改进策略.     

基于价格信息传递的住宅市场空间效率

为分析在空间维度上的价格信息影响,进行了住宅市场效率研究。利用向量自回归模型和北京等7个城市2003年6月至2007年7月的住宅价格数据,检验城市间的住宅价格的信息传递性和住宅市场空间效率。研究表明:中国相邻城市间的住宅市场空间效率较高,而不相邻城市间的住宅市场表现出空间非有效性,即不相邻城市间的住宅价格具有可预测性。投资者可以通过分析其他城市住宅价格变化的历史信息预测某一城市当前的住宅价格。住宅市场存在无风险套利机会。     

基于AHP的电网企业客户用电满意度模糊综合评价——以湖南省电力公司为例

设计了电网企业客户满意度问卷,从感知差异、质量感知、价值感知、评价感知、客户期望和客户忠诚6方面构建了电网企业客户用电满意度的评价指标体系,并利用层次分析法(AHP)确定了各项指标权重;在此基础上,以湖南省6个地区为例,运用模糊综合评价法,计算出大工业用户、一般工商业用户、城市居民、农村居民四类用户的综合客户满意度指数,分析了客户满意度的影响因素,为电力企业提高用户满意度提供参考和依据.     

基于X-12-ARIMA和AR-GARCH模型的房价波动研究

以SAS软件为工具,以2007年1月至2015年6月北京市新建住宅价格指数序列为样本,构建时间序列模型进行实证研究.结果表明,基于X-12-ARIMA模型和AR(2)-GARCH(1,1)模型的复合模型是拟合房价的最优模型.房价序列存在明显的季节特征和典型的波动聚集性,X-12季节调整方法和异方差模型显著有效,拟合相对误差不超过0.4%.对房价的短期预测表明,近期内房价仍保持3%~5%的增长态势,且外部因素对房价的影响程度远远大于房价自身的波动冲击力.     

Buyer Search and the Role of Broker in an Emerging Housing Market： A Case Study of Guangzhou

Introduction Housing markets have distinct characteristics that re- sult in a higher level of imperfect information than markets of other goods. Houses are unique and hetero- geneous, so buyers must gather enough information concerning the quality as well…     

基于ILOWGA算子的B2C电子商务顾客满意度评价方法

针对B2C电子商务顾客满意度评价的不确定性和模糊性等特点,构建了基于诱导的语言顺序加权几何平均(ILOWGA)算子的电子商务顾客满意度评价模型.建立了B2C模式下电子商务企业顾客满意度评价指标体系,根据指标体系设计模型对输入参数是语言变量的决策信息进行集结,得出电子商务顾客满意度的评价值.理论分析和实例对比表明,该方法能更好地反映电子商务顾客满意度评价的客观性.     

商业企业顾客满意度测评及结果分析

顾客满意度测评是实施顾客满意管理的重要手段,是企业持续改进的依据。本文构建了面向大型商业企业的顾客满意度及员工满意度评价指标体系,采用客观调查与层次分析法相结合的方法确定了指标体系的权重,同时对3家大型商业企业的测评结果进行了相关分析,对改进对象的选择方法进行了探讨,采用象限法来确定改进对象,并以实例说明。     

电子商务顾客满意度指标体系及测评模型

参照因特网消费者满意度综合模型(Lee)和美国BizRate网络营销评估法设计了一个基于电子商务的顾客满意度指标体系;采用问卷调查收集顾客满意度数据,利用主成分分析与"重要性—绩效"模型相结合的方法给出了电子商务顾客满意度测评模型。