scholarly journals International Real Estate Review

2007 ◽  
Vol 10 (2) ◽  
pp. 113-130
Author(s):  
Benoit Julien ◽  
◽  
Paul Lanoie ◽  
Keyword(s):  
Real Estate ◽  
Negative Impact ◽  
House Prices ◽  
Real Estate Market ◽  
Data Set ◽  
Long Run ◽  
Before And After ◽  
Short Run ◽  
Noise Barrier ◽  
The Impact

This paper provides the first study on the impact of noise barriers on the price of adjacent houses based on a repeat sale analysis (RSA). RSA allows us to empirically examine the differential between the prices of houses sold before and after an event that may have affected their value, and after other relevant variables such as the evolution of the real estate market and major renovations performed on the house are controlled. This paper focuses on the neighborhood of Laval, a suburb of Montreal, where a large noise barrier was built in 1990 along a highway. The data set contains transaction information on 134 houses that were sold at least twice from 1980–2000. The empirical result will show that the noise barrier induced a decrease of 6% in the house prices in our sample in the short run, while it had a stronger negative impact of 11% in the long run.

scholarly journals Are there irrational bubbles under the high residential housing prices in China’s major cities?

2020 ◽  
Vol 67 (1) ◽  
pp. 1-26
Author(s):  
Philip Arestis ◽  
Sixia Zhang
Keyword(s):  
Real Estate ◽  
House Prices ◽  
Housing Prices ◽  
Theoretical Framework ◽  
Real Estate Market ◽  
Property Market ◽  
Residential Housing ◽  
Real Estate Sector ◽  
Long Run ◽  
Short Run

House prices in the main cities of China have been rising to historically high levels. Unsustainable growth of housing prices might cause financial crises and damage the whole economy. This research aims to detect whether bubbles dominate China?s real estate market. It begins by systematically analysing the features of China?s real estate sector, followed by proposing a theoretical framework to identify the fundamentals of house prices and decompose house prices into cyclical and bubble components. It then applies the vector error correction model and other econometric techniques to testify the theoretical framework with data of seven Chinese cities from 2008M01 to 2017M12. The main findings of this research include the following four parts. Firstly, the residential housing market of Shanghai was exposed to the irrational bubble issue, but the rest six cities examined were at safe positions. Secondly, both long-run and short-run relationships between economic fundamentals and house prices have been verified. Thirdly, economic regulations also have significant effects on house prices. Finally, this research suggests that the root cause of the high housing prices in major cities in China is due to the excessive capital injection into the residential property market.

Real estate development in the city of Athens during the financial crisis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Maria Nikitidou ◽  
Fragiskos Archontakis ◽  
Athanasios Tagkalakis
Keyword(s):  
Financial Crisis ◽  
Real Estate ◽  
Structural Characteristics ◽  
House Prices ◽  
Real Estate Market ◽  
Structural Factors ◽  
Data Set ◽  
Content Type ◽  
Capital Financing ◽  
The City

Purpose This study aims to determine how the prices of residential properties in the Greek real estate sector are affected by their structural characteristics and by the prevailing economic factors during recession. Design/methodology/approach Based on 13,835 valuation reports for the city of Athens, covering a period of 11 years (2006–2016), this study develops a series of econometric models, taking into account both structural characteristics of the property market and the macroeconomic relevant variables. Finally, the city of Athens is divided into sub-regions and the different effects of the structural factors in each area are investigated via spatial analysis confirming the validity of the baseline model. Findings Findings show that the size, age, level, parking and storage space can explain the property price movements. Moreover, the authors find evidence that it is primarily house demand variables (e.g. the annual average wage, the unemployment rate, the user cost of capital, financing constraints and expectations about the future course of the house market) that affect house prices in a statistically significant manner and with the correct sign. Finally, using a difference-in-differences approach, this study finds that an increase in house demand (on account of net migration) led to higher house prices in smaller and older than in larger and younger apartments in areas with high concentration of immigrants. Originality/value This study uses a novel data set to help entities, individuals and policy-makers to understand how the recent economic and financial crisis has affected the real estate market in Athens.

The Impacts of Traffic Noise on House Renting and Selling Prices Concerning Residential Areas Case of Sulaimaniyah City Center

2021 ◽  
Author(s):  
Ayoub Smaqaey ◽  
◽  
Mohammed AbdulKareem ◽  
Meryem Komşu ◽  
◽  
...  
Keyword(s):  
Real Estate ◽  
High Efficiency ◽  
Negative Impact ◽  
Traffic Noise ◽  
Noise Pollution ◽  
Real Estate Market ◽  
Residential Areas ◽  
City Center ◽  
The Government ◽  
The Impact

The purposes of this research are to examine the impact of traffic noise on the sale and rent prices of the housing real estate in the Sulaimaniyah city center. Besides, highlight the concept of traffic noise pollution in general and in particular in the Sulaimaniyah city center. Thus, people have the right to choose the nature of the acoustic environment, as others should not impose it, the problem of traffic noise considered as one of the main problems that have imposed on the people in Sulaimaniyah city center. Which began to take severe economic and social dimensions, affects the decision-making process in the real estate market. Moreover, consequently, this research analyzes the impact of traffic noise pollution in the sale and rent prices of residential property in Sulaimaniyah city center, the results of the research have confirmed a clear and negative impact the traffic noise on residential real estate prices in Sulaimaniyah city center. Finally, the research indorsed range of important recommendations, such as necessity control the noise pollution at the level of governments and companies, either at the companies’ level by choosing vehicles that release less sound and the use of sound control devices of high efficiency. Either at the government level to determine the volume level or prevent annoying noises (painful), through legislation and laws of environmental protection and impose fees and raise awareness.

Foreign investment in Australian residential properties

2019 ◽  
Vol 12 (2) ◽  
pp. 166-180 ◽  
Author(s):  
Hassan F. Gholipour ◽  
Hooi Hooi Lean ◽  
Reza Tajaddini ◽  
Anh Khoi Pham
Keyword(s):  
Real Estate ◽  
Foreign Investment ◽  
House Prices ◽  
Real Estate Market ◽  
Housing Development ◽  
Housing Construction ◽  
Annual Data ◽  
Content Type ◽  
Residential Properties ◽  
The Impact

Purpose The purpose of this study is to examine the impact that foreign investment in existing houses and new housing development has on residential house prices and the growth of the housing construction sector. Design/methodology/approach The analysis is based on a panel cointegration method, estimated using annual data for all Australian states and territories spanning the period of 1990-2013. Findings The results indicate that increases in foreign investment in existing houses do not significantly lead to increases in house prices. On the other hand, a 10 per cent increase in foreign investment for housing development decreases house prices by 1.95 per cent. We also find that foreign real estate investments have a positive impact on housing construction activities in the long run. Originality/value Existing studies used aggregate foreign real estate investment in their analyses. As foreign investment in existing houses and foreign investment for housing development have different impacts on the demand and supply sides of housing market, it is crucial that the analysis of the effects of foreign investment in residential properties on real estate market is conducted for each type differently.

Is a Corruption Crackdown Really Good for the Economy? Firm-Level Evidence from China

2020 ◽  
Author(s):  
Zhiyuan Chen ◽  
Xin Jin ◽  
Xu Xu
Keyword(s):  
Negative Impact ◽  
Foreign Firms ◽  
Private Firms ◽  
Firm Level ◽  
Personal Connections ◽  
Before And After ◽  
Short Run ◽  
The Government ◽  
Negative Impacts ◽  
The Impact

Abstract We study the impact of anticorruption efforts on firm performance, exploiting an unanticipated corruption crackdown in China’s Heilongjiang province in 2004. We compare firms in the affected regions with those in other inland regions before and after the crackdown. Our main finding is an overall negative impact of the crackdown on firm productivity and entry rates. Furthermore, these negative impacts are mainly experienced by private and foreign firms, while state-owned firms are mostly unaffected. We present evidence concerning two potential explanations for our findings. First, the corruption crackdown may have limited bribery opportunities that helped private firms operate. Second, the corruption crackdown may have interfered with personal connections between private firms and government officials to a greater extent than institutional connections between state-owned firms and the government. Overall, our findings suggest that corruption crackdowns may not restore efficiency in the economy, but instead lead to worse economic outcomes, at least in the short run (JEL L2, M1, O1).

scholarly journals Repercussions of COVID-19 on the Indian stock market

2021 ◽  
Vol 5 (S1) ◽  
pp. 1495-1509
Author(s):  
Dhananjay Ashri ◽  
Bibhu Prasad Sahoo ◽  
Ankita Gulati ◽  
Irfan UL Haq
Keyword(s):  
Stock Market ◽  
Financial Markets ◽  
Banking Sector ◽  
Oil And Gas ◽  
Negative Impact ◽  
Long Run ◽  
Short Run ◽  
Indian Stock Market ◽  
The Impact ◽  
Daily Returns

The present paper determines the repercussions of the coronavirus on the Indian financial markets by taking the eight sectoral indices into account. By taking the sectoral indices into account, the study deduces the impact of virus outbreak on the various sectoral indices of the Indian stock market. Employing Welch's t-test and Non-parametric Mann-Whitney U test, we empirically analysed the daily returns of eight sectoral indices: Nifty Auto, Nifty FMCG, Nifty IT, Nifty Media, Nifty Metal, Nifty Oil and Gas, Nifty Pharma, and Nifty Bank. The results unveiled that pandemic had a negative impact on the automobile, FMCG, pharmaceuticals, and oil and gas sectors in the short run. In the long run, automobile, oil and gas, metals, and the banking sector have suffered enormously. The results further unveiled that no selected indices underperformed the domestic average, except NIFTY Auto. 

Foreign Direct Investment, Financial Development, and Economic Growth Nexus in Bangladesh

2020 ◽  
pp. 056943452093867
Author(s):  
Md. Noman Siddikee ◽  
Mohammad Mafizur Rahman
Keyword(s):  
Economic Growth ◽  
Foreign Direct Investment ◽  
Financial Development ◽  
Direct Investment ◽  
Banking Sector ◽  
Negative Impact ◽  
Capital Formation ◽  
Long Run ◽  
Short Run ◽  
The Impact

This article aims to explore the short- and long-run impact of foreign direct investment (FDI), financial development (FD), capital formation, and the labor forces on the economic growth of Bangladesh. We applied the Granger causality test and Vector Error Correction Model (VECM) for this study. The World Bank data for the period of 1990–2018 are taken into account for the analysis. Our findings suggest, in the long run, capital formation has a positive impact, and in the short run, it has a negative impact on gross domestic product (GDP) implying a lack of higher efficiency is persisting in capital management. Similarly, labor forces have an insignificant impact in the short run and a negative impact in the long run on GDP, which confirms the presence of a huge number of unskilled laborers in the economy with inefficient allocation. The impact of FD is found tiny positive in the short run but large negative in the long run on GDP indicating vulnerability of banking sector. These also confirm fraudulence and inefficient use of the domestic credit supplied to the private sector. The impact of FDI is approximately null both in the short and long run, indicating Bangladesh fails to achieve the long-term benefits of FDI. Finally, this study suggests using FDI more in the capital intensive project of the public–private partnership venture than infrastructural development only and also improving the credit management policy of the banking sector. JEL Classifications: F21, F43, J21

scholarly journals China–Pakistan Economic Corridor, Logistics Developments and Economic Growth in Pakistan

Logistics ◽  
2021 ◽  
Vol 5 (2) ◽  
pp. 35
Author(s):  
Zunaira Khadim ◽  
Irem Batool ◽  
Muhammad Bilal Lodhi
Keyword(s):  
Economic Growth ◽  
Time Series Data ◽  
Positive Impact ◽  
Real Income ◽  
Series Data ◽  
Data Set ◽  
Long Run ◽  
Short Run ◽  
Factor Inputs ◽  
The Impact

The study aims to analyze the impact of China–Pakistan Economic Corridor (CPEC) logistics-related developments on economic growth in Pakistan. The study defined a Cobb–Douglas type of research framework in which the country’s real income level relates to four factor inputs, e.g., employed labor force, logistics development, financial development, and energy consumption in an economy. The study utilized the time series data set for the period 1972–2018. To estimate the long run relationship and short run adjustment mechanism, the study used Johansen’s method of co-integration and error correction model. Estimated results showed that the country’s logistics developments have a significant positive impact on economic growth in both the long run and the short run. It implies that China–Pakistan collaborative efforts for logistics developments will have a strong positive impact on economic growth in Pakistan.

scholarly journals The Impact of Terrorist Attacks on Foreign Exchange Rate: Case Study of Turkish Lira versus Pound Sterling

2016 ◽  
Author(s):  
Mansoor Maitha ◽  
Jehar Mustofa ◽  
Ugur Gok
Keyword(s):  
Exchange Rate ◽  
Negative Impact ◽  
Causal Effect ◽  
Terrorist Attack ◽  
Terrorist Attacks ◽  
Long Run ◽  
Short Run ◽  
The Exchange Rate ◽  
The Impact ◽  
Turkish Lira

In this study the impact of terrorist attacks on exchange rate is estimated. Particularly, the study focuses on Turkish terrorist attacks and its implication on Turkish lira versus pound sterling exchange rate. In order, to find the causal effect the study employed Autoregressive distributive lag (ARDL) bound testing approach as an estimation technique. Accordingly, the analysis reveals that terrorist attack has a negative impact on the exchange rate in both short and long-run. However, the negative effect of terrorism tends to be small in both the short-run and long-run. More precisely, terrorist attack depreciates the exchange rate between Turkish lira and pound sterling by approximately 0.00072 in the next trading day. The long-term effect also shows that terrorist attack depreciates the exchange rate on average by 0.00212.

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