scholarly journals The Demand Influence Factors of the Business Price in 2013 of China—The Cross-Sectional Analysis of the Real Estate Developer Factors Based on the Selected 35 Cities

2015 ◽  
Vol 1 (1) ◽  
pp. 37
Author(s):  
Wei Zhang

<p><em>This dissertation investigates the relation between the real estate developers and the price development on the business market in 2013. Based on the result of the correlations analysis and regression analysis, owner’s equity affects to the dependent variable of the business price.</em></p>

2016 ◽  
Vol 3 (1) ◽  
pp. 17
Author(s):  
Wei Zhang

<p><em>This dissertation investigates the relation between the consumers and the price development on the housing market in 2014 based on cross-sectional analysis of the consumers’ factors. Based on the result of the correlations analysis and regression analysis, balance of savings deposit of Urban and rural residents per person affect to the dependent variable of the house price.</em><em></em></p>


Land ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 1283
Author(s):  
Weiwei Li ◽  
Lisheng Weng ◽  
Kaixu Zhao ◽  
Sidong Zhao ◽  
Ping Zhang

Inventory management not only determines the health of the real estate market development, but also affects the regional economy and the capacity of sustainable social development. In this paper we use the DPSIR framework to integrate multi-dimensional influence factors, such as economic, social, and environmental factors, to construct a real estate inventory management performance evaluation and obstacle diagnosis model, and conduct an empirical study on 31 Chinese provinces and cities. The results show that: first, China’s real estate inventory is huge in size, with significant spatial heterogeneity and agglomeration; second, China’s real estate inventory management performance is unsatisfactory and still shows no improvement despite the strong policy intervention of the central and local governments; third, the obstacle factors of real estate inventory management are becoming increasingly diversified and complicated, with great differences among provinces—significantly, Profits of Real Estate Enterprises, Disposable Income of Urban Residents, Financial Revenue, Per Capital GDP, Resident Population, Gross Domestic Product, Total Retail Sales of Social Consumer Goods, Financial Expense, and Loans Balance of Financial Institutes are critical obstacle factors; and fourth, it is suggested that, on the basis of mastering the actual conditions of supply and demand in the real estate market, differentiated and precise response strategies should be formulated by integrating near-term and long-term goals, direct and indirect forces, and administrative and market instruments.


2015 ◽  
Vol 23 (2) ◽  
pp. 17-26
Author(s):  
Kamil Nieścioruk

Abstract The paper deals with the introductory analysis of the real estate market of a suburban commune located near a big (voivodeship capital) city. The analysis is based mainly of the cartographic method of research. Besides data mining and preparation, maps play an important role here, presenting values acquired directly from the register of notarial deeds of estate sales and purchases, as well as values resulting from statistic computation, for example mean values of area or price, absolute numbers of transactions or real estate type. The spatial factor is also taken into consideration when it comes to more complex or specific analyses. The influence of distance understood as a metric and time factor, as well as regression analysis results are also visualized on maps. Such presentation is a good step towards advanced analyses providing maps are prepared according to the rules of cartography. The paper stresses that a map can be a great tool in aiding every stage of research, but may also cause misinterpretations and false conclusions when at least basic rules are not complied with.


2017 ◽  
Vol 3 (1) ◽  
pp. 27
Author(s):  
Al Amiri Octadianto ◽  
Nisful Laila

The This study aims to examine and analyze the influence of Return On Asset (ROA) and the Price to Book Value (PBV) towards on the liquidity stock of the real estate companies in JII. ROA shows the ability of the companies with the assets that work in it to gain the net profit, shows in percentage. PBV is the ratio of stock in the market compare with the book value of the company.This study used quantitative. The samples used in this study are the real estate companies registered in JII during 2013-2015 period. This study selects four companies as the sample. This study used multiple linear regression analysis tests. The test results of multiple regression analysis with 5% significance level, shows: (1) ROA and PBV partially has no significant effect on liquidity stock (2) ROA and PBV simultaneously has significant effect on liquidity stock.


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