scholarly journals Factors Affecting the Price of Commercial Housing in Haikou Housing

2018 ◽  
Vol 5 (5) ◽  
pp. 59
Author(s):  
Ji-Yan Wu ◽  
Wan-Yin Zheng ◽  
Xu-You Zeng
Keyword(s):  
Economic Growth ◽  
House Prices ◽  
Housing Prices ◽  
Consumer Price Index ◽  
Population Movements ◽  
Factors Affecting ◽  
Positive Effects ◽  
Correlation Degree ◽  
Grey Correlation Degree ◽  
The Impact

This paper uses the grey correlation degree and factor analysis method to carry out empirical research on the main influencing factors of residential price extraction in Haikou City according to the data of Haikou City from 2013 to 2018 as a sample. The research results show that the factors affecting housing prices can be divided into two aspects. From the economic level, the impact of population, regional GDP and per capita disposable income are positive effects. They promote economic growth to increase housing prices. From the perspective of expenditure levels, expected housing prices, investment costs, and consumer price index will affect housing prices by influencing consumers and investors spending decisions. On the whole, the key factors affecting house prices are mainly policies, population movements, economic growth, and total investment costs.

International Real Estate Review

2015 ◽  
Vol 18 (2) ◽  
pp. 217-240
Author(s):  
Weida Kuang ◽  
◽  
Peng Liu ◽  
Keyword(s):  
Economic Growth ◽  
Interest Rates ◽  
House Prices ◽  
Supply And Demand ◽  
Housing Prices ◽  
Consumer Price Index ◽  
Housing Price ◽  
Price Increases ◽  
Relationship Of ◽  
The Impact

In recent years, housing prices and inflation have been growing constantly in China. Higher house prices and higher inflation affect both household consumption and economic growth. We have developed a four-sector general equilibrium model of consumers, developers, firms, and the central bank to illustrate the relationship of house prices with inflation. The theoretical model demonstrates that house prices and inflation are positively correlated and endogenously determined. By using panel databases of 35 major cities in China during the period of 1996-2010, we find that the association between house prices and inflation is asymmetric. The impact of inflation on housing prices is greater than that of housing prices on inflation, which implies that housing prices effectively hedge inflation. Secondly, household income positively affects housing prices, but interest rates negatively influence housing prices. Accordingly, to curb soaring housing prices, policymakers not only should balance supply and demand, but also control for inflation. Thirdly, economic growth has less of an impact on inflation than housing prices. Hence, abnormal housing price increases are more likely to exacerbate inflation than economic growth. In addition, housing prices have a greater impact on inflation than rental prices, albeit the latter is a component of the consumer price index (CPI). Finally, money supply has much greater effects on inflation than housing prices and economic growth.

scholarly journals Multiscale Effects of Multimodal Public Facilities Accessibility on Housing Prices Based on MGWR: A Case Study of Wuhan, China

2022 ◽  
Vol 11 (1) ◽  
pp. 57
Author(s):  
Lingbo Liu ◽  
Hanchen Yu ◽  
Jie Zhao ◽  
Hao Wu ◽  
Zhenghong Peng ◽  
...  
Keyword(s):  
Public Service ◽  
House Prices ◽  
Housing Prices ◽  
Positive Influence ◽  
Policy Formulation ◽  
Public Facility ◽  
Factors Affecting ◽  
Public Facilities ◽  
Geographically Weighted Regression Model ◽  
The Impact

The layout of public service facilities and their accessibility are important factors affecting spatial justice. Previous studies have verified the positive influence of public facilities accessibility on house prices; however, the spatial scale of the impact of various public facilities accessibility on house prices is not yet clear. This study takes transportation analysis zone of Wuhan city as the spatial unit, measure the public facilities accessibility of schools, hospitals, green space, and public transit stations with four kinds of accessibility models such as the nearest distance, real time travel cost, kernel density, and two step floating catchment area (2SFCA), and explores the multiscale effect of public services accessibility on house prices with multiscale geographically weighted regression model. The results show that the differentiated scale effect not only exists among different public facility accessibilities, but also exists in different accessibility models of the same sort of facility. The article also suggests that different facilities should adopt its appropriate accessibility model. This study provides insights into spatial heterogeneity of urban public service facilities accessibility, which will benefit decision making in equal accessibility planning and policy formulation for the layout of urban service facilities.

The Nexus between Financial Development, Economic Growth and Energy Consumption in India: A VECM Technique

2020 ◽  
pp. 602-612
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Financial Development ◽  
Consumer Price Index ◽  
Development Economic ◽  
Energy Prices ◽  
Vector Error Correction ◽  
Percent Increase ◽  
Growth Energy ◽  
The Impact

The demand for energy consumption requires efficient financial development in terms of bank credit. Therefore, this study examines the nexus between Financial Development, Economic Growth, Energy Prices and Energy Consumption in India, utilizing Vector Error Correction Model (VECM) technique to determine the nature of short and long term relationships from 2010 to 2019. The estimation of results indicates that a one percent increase in bank credits to private sector results in 0.10 percent increase in energy consumption and 0.28 percent increase in energy consumption responses to 1 percent increase in economic growth. It is also observed that the impact of energy price proxied by consumer price index is statistically significant with a negative sign indicating the consistency with the theory.

Has tourism driven house prices in Germany? Time-varying evidence since 1870

2021 ◽  
pp. 135481662110088
Author(s):  
Sefa Awaworyi Churchill ◽  
John Inekwe ◽  
Kris Ivanovski
Keyword(s):  
World War Ii ◽  
Historical Data ◽  
House Prices ◽  
Housing Prices ◽  
Time Varying ◽  
Data Set ◽  
Time Series Modelling ◽  
The Impact ◽  
Tourism Flows ◽  
Non Parametric

Using a historical data set and recent advances in non-parametric time series modelling, we investigate the nexus between tourism flows and house prices in Germany over nearly 150 years. We use time-varying non-parametric techniques given that historical data tend to exhibit abrupt changes and other forms of non-linearities. Our findings show evidence of a time-varying effect of tourism flows on house prices, although with mixed effects. The pre-World War II time-varying estimates of tourism show both positive and negative effects on house prices. While changes in tourism flows contribute to increasing housing prices over the post-1950 period, this is short-lived, and the effect declines until the mid-1990s. However, we find a positive and significant relationship after 2000, where the impact of tourism on house prices becomes more pronounced in recent years.

Are regional house prices stationary in Iran? New evidence using Fourier quantile unit root test

2019 ◽  
Vol 12 (5) ◽  
pp. 849-864
Author(s):  
Arash Hadizadeh
Keyword(s):  
Interest Rates ◽  
Housing Market ◽  
Unit Root ◽  
House Prices ◽  
Housing Prices ◽  
Unit Root Test ◽  
Generalized Least Squares ◽  
Main Concern ◽  
Content Type ◽  
Positive Effects

Purpose In the Iranian economy, investing in the housing market has been very important and beneficial for investors and households, because of inflationary environment, low real interest rates, underdeveloped financial and tax systems and economic sanctions. Hence, prediction of house prices is the main concern of housing market agents in the economy. The purpose of this paper is to test the stationary properties of Iran's provinces to improve the prediction of future housing prices. Design/methodology/approach In this paper, the authors have tested the stationary properties of 20 Iran’s province centers over the period from 1993 to 2017 using a novel Fourier quantile unit root test and conventional ordinary/generalized least squares (O/GLS) linear unit root/stationary tests. Findings According to conventional O/GLS linear unit root/stationary tests, most of the house prices series exhibit random walk behavior, whereas by applying the Fourier quantile unit root test, the null hypothesis of unit root is rejected for 15 out of 20 series. Other results indicated that house prices of cities responded differently to positive and negative shocks. Originality/value Previous studies only addressed conventional OLS or GLS linear unit root or stationary tests, but novel Fourier quantile unit root test was not used. New results were obtained based on this unit root test, that, as a priori knowledge, will help benefiting from the positive effects, or avoiding being victimized by the negative effects.

scholarly journals The Factors Affecting Farmland Rental Prices in Slovakia

Land ◽  
2020 ◽  
Vol 9 (3) ◽  
pp. 96
Author(s):  
Ivan Takáč ◽  
Jarmila Lazíková ◽  
Ľubica Rumanovská ◽  
Anna Bandlerová ◽  
Zuzana Lazíková
Keyword(s):  
Agricultural Land ◽  
Economic Value ◽  
Production Costs ◽  
The European Union ◽  
Total Revenue ◽  
Factors Affecting ◽  
Positive Effects ◽  
Land Rental ◽  
Land Valuation ◽  
The Impact

Agricultural land is a limited natural resource with increasing economic value. This study analyses land rental relationships in Slovakia, including legal rental regulations, and identifies the impact of certain factors, such as the European Union Common Agricultural Policy (CAP) payments, and geographical and economic factors on land rental prices. From the results of econometric models, it was found that certain CAP payments have an effect on rental prices, mainly the single area payment scheme (SAPS), payments for agri-environmental-climate schemes (AECS), and animal welfare, which were found to have positive effects. Other important factors found to influence rental prices are economic indicators (such as total revenue share of total costs, share of revenue from agricultural production in terms of total revenue, share of production costs as a percentage of total costs, wages, and number of employees) and geographical factors (such as region or partial production areas). However, the distance of the farm from the district city (LAU 1) and the share of farmland affected by natural constraints do not considerably affect rental prices in Slovakia. Land consolidation is a statistically significant factor according to the models; however, its impact is almost zero. Knowledge of these factors constitutes important know-how, not only for policy makers but also for the actors operating in the land rental market (e.g., landlords, tenants, experts on land valuation, and real estate agents).

scholarly journals THE LONG-RUN RELATIONSHIP BETWEEN HOUSE PRICES AND INFLATION IN SOUTH AFRICA: AN ARDL APPROACH

2013 ◽  
Vol 17 (2) ◽  
pp. 188-198 ◽  
Author(s):  
Roula Inglesi-Lotz ◽  
Rangan Gupta
Keyword(s):  
South Africa ◽  
Price Index ◽  
House Prices ◽  
Housing Prices ◽  
Consumer Price Index ◽  
Data Series ◽  
Middle Segment ◽  
Goods And Services ◽  
Long Run ◽  
Housing Costs

This paper investigates whether house prices provide a suitable hedge against inflation in South Africa by analysing the long-run relationship between house prices and the prices of non-housing goods and services. Quarterly data series are collected for the luxury, large middle-segment, medium middle-segment, small middle-segment and the entire middle segment of house prices, as well as, the consumer price index excluding housing costs for the period 1970:Q1–2011:Q1. Based on autoregressive distributed lag (ARDL) models, the empirical results indicate long-run cointegration between the house prices of all the segments and the consumer price index excluding housing costs. Moreover, the long-run elasticity of house prices with respect to prices of non-housing goods and services, i.e., the Fisher coefficient is greater than one for the luxury segment, virtually equal to one for the small middle-segment, and less than one for the large and medium middle-segments, as well as the affordable segments. More importantly though, the estimated Fisher coefficients are not statistically different from unity – a result consistent with the proposed theoretical framework relating housing prices and consumer prices excluding housing expenditure. In general, we infer that house prices in South Africa provide a stable inflation hedge in the long-run.

scholarly journals Le marché immobilier : quelques perspectives à long terme pour la région de Trois-Rivières

2009 ◽  
Vol 59 (1) ◽  
pp. 153-163
Author(s):  
L. M. Farrell
Keyword(s):  
Real Estate ◽  
Housing Prices ◽  
Consumer Price Index ◽  
Listing Service ◽  
Real Estate Markets ◽  
Long Run ◽  
Time Period ◽  
Short Period ◽  
The Impact ◽  
Transaction Price

Abstract The results of any analysis of local real estate markets must be qualified interms of the long run equilibrium conditions assumed in the study. Such propertycharacteristics as: non homogeneity, durability, length of response lag time, etc.,are frequently suggested as major factors which contribute to the inefficiency ofreal estate markets. Periods of prolonged exogeneous inflationary expectations,which may be indicated by changes in the Consumer Price Index (CPI), addfurther complexity to the analysis of real estate markets. This paper presents a brief discussion of the factors which influence thesupply and demand for Real Estate. Special reference is made to the City ofTrois-Rivières, Québec, which is analysed over the ten year period 1971 to 1981. In this market the impact of changes in income on long run demand would appearto be negative. The effect of demographic factors, particularly population in the25 to 34 year age group, is not clear. There is some indication of a shift in supplyacross submarkets over the 1976-1979 time period. Price changes, measured in current dollars using the Multiple Listing Service(MLS) average transaction price, increased approximately 200 per cent over arelatively short period in the early 1970s. Most of this appreciation appears tohave been lost over the longer time period of the study. Average MLS transaction price, adjusted for inflation, fluctuated between$12,000 and $28,000 over the same period. After appropriate qualification of the results, in terms of the data and themethodology used to analyse the data, it would appear that housing prices in theaggregated Trois-Rivières market have not increased appreciably in current orconstant dollars over the period 1971-1981 although this may not have been thecase in particular submarkets.

scholarly journals PENGARUH PENANAMAN MODAL ASING TERHADAP PERTUMBUHAN EKONOMI DI INDONESIA

Media Ekonomi ◽  
2016 ◽  
Vol 24 (1) ◽  
pp. 63
Author(s):  
Fajar Bimantoro ◽  
Mona Adriana S
Keyword(s):  
Economic Growth ◽  
Foreign Direct Investment ◽  
Financial Crisis ◽  
Direct Investment ◽  
Global Financial Crisis ◽  
Consumer Price Index ◽  
Impulse Response Function ◽  
Short Term ◽  
The Impact

<em>The present study aimed to analyze the relationship between the level of foreign direct investment to Indonesia's economic growth in the period 1991-2014.Fokus of the present study was to analyze the short-term relationship between foreign direct investment and economic growth Indonesia. In addition, along with the financial crisis 2008 global bit much negative of Indonesia affected by the global economic slowdown due to the crisis. This prompted the present study was to also perform forecasting of the impact of global financial crisis on foreign direct investment and relation to economic growth. To answer these questions, this research chose VAR Vector Auto Regression or as a method to answer the research questions. Gross Domestic Product (GDP), Consumer Price Index, BI rate, and the Exchange Rate, the variables used in this research. The estimation results of the VAR indicate that direct investment from abroad did not have an impact on economic growth in the long term but has a strong bond in the short term against the growth of economics. This indicates that foreign investment into Indonesia increasingly quality in promoting economic growth. In addition, the results of forecasting using impulse response function indicates there will be the tendency of a decrease in the level of foreign direct investment and economic growth in Indonesia.</em>

scholarly journals The impact of selected factors affecting students' entrepreneurial intentions

Revizor ◽  
2020 ◽  
Vol 23 (91-92) ◽  
pp. 69-76
Author(s):  
Kristina Stamenović
Keyword(s):  
Economic Growth ◽  
Quantitative Analysis ◽  
International Education ◽  
Family Background ◽  
Entrepreneurial Intention ◽  
Entrepreneurial Intentions ◽  
Essential Factor ◽  
Factors Affecting ◽  
Career Option ◽  
The Impact

Entrepreneurs can be defined as the key actuator of economic growth and an essential factor for societal prosperity. Entrepreneurship is promoted as a career option among young people, and the intention to become entrepreneurs can be influenced by psychological, socio-demographic, and educational factors. This paper examines the impact of personality traits, family background, and international education mobility on students' entrepreneurial intention. A questionnaire was used in the study as the research instrument. Results of the quantitative analysis show a significant impact of selected factors on entrepreneurship intentions.

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