scholarly journals URBAN HOUSE PRICES AND BUSINESS ESTABLISHMENT IN MALAYSIA: A SECTORAL APPROACH

2021 ◽  
Vol 25 (6) ◽  
pp. 459-468
Author(s):  
Hassan F. Gholipour ◽  
Sabai Khin ◽  
Angela Tan-Kantor ◽  
Heath Spong

The purpose of this study is to examine the long-run and short-run relationship between house prices and business formation in various industries. Using data from Malaysian states over the period of 2000–2016 and applying ARDL/PMG models, our results show that changes in house prices have a positive and significant association with business establishment in specific economic sectors, including manufacturing, wholesale and retail trade, information and communication, and financial and insurance in the long-run. However, the long-run relationship between house prices and business formation is negative and significant for electricity, gas, steam and air conditioning supply, construction, transportation and storage, accommodation and food service activities, and real estate industries. The short-run analysis indicates that there is a difference in the responses of business establishment in various industries to the changes in house prices.

2020 ◽  
Vol 23 (1) ◽  
pp. 65-106
Author(s):  
Mohsen Bahmani-Oskooee ◽  
◽  
Seyed Ghodsi ◽  

Since oil is used as an input in the production and delivery process, any change in its price can affect almost all sectors of an economy. Researchers have tried to assess the impact of the rising price of oil on domestic production, inflation, investment, the stock market, etc. In order to determine if inflationary effects of rising oil prices have spread to house prices in the U.S., unlike previous research, we investigate the link between oil prices and house prices by using data from each state of the U.S. Furthermore, for the first time, we engage in asymmetry analysis and find short-run asymmetric effects in almost all of the states but short-run cumulative effects or asymmetric impact in 15 states. Although we also find significant long-run asymmetric effects in 26 states, the results reveal that an increase in oil prices has contributed to house price increase in only 11 states and a decrease in oil prices lowered house prices in only three states.


2019 ◽  
Vol 12 (5) ◽  
pp. 966-984 ◽  
Author(s):  
Gary John Rangel ◽  
Jason Wei Jian Ng ◽  
Thangarajah Thiyagarajan Murugasu ◽  
Wai Ching Poon

Purpose The purpose of this paper is to measure the long-run housing affordability of Malaysia over time for households at various income levels and to demonstrate how short- and long-run affordability measures can reach contradicting conclusions. Design/methodology/approach In this study, a long-run housing affordability index (HAI) for Malaysia was constructed for the sample period 1995 to 2014, using data from house prices and household incomes. The HAI was also modified to compute a mortgage affordability index (MAI) to account for intergenerational transfers. Findings The results show that households at the 25th income percentile cannot afford any of the four dwelling types in Malaysia. For households at the 40th income percentile and the median income levels, high-rise and terrace housing are affordable. However, significant downward trends in HAI and MAI are documented beginning 2009, which indicates increasing housing stress for households at or below the median income. The short-run affordability measure represented by the median multiple (MM) indicator showed bleaker conclusion for housing affordability, with all dwelling types considered unaffordable over the entire sample period Practical implications On the basis of the empirical results, this paper provided several long-term proposals to ameliorate the housing affordability problem in Malaysia. Originality/value With the MM ratio being the official affordability measure reported for Malaysia, this study introduces the nation’s first long-run housing affordability measure. It is hoped that this long-run measure will achieve widespread adoption in Malaysia. Given the deteriorating long-term affordability, this study offers several possible long-term solutions.


2017 ◽  
Vol 5 (2) ◽  
pp. 16
Author(s):  
Ahmad Ghazali Ismail ◽  
Arlinah Abd Rashid ◽  
Azlina Hanif

The relationship and causality direction between electricity consumption and economic growth is an important issue in the fields of energy economics and policies towards energy use. Extensive literatures has discussed the issue, but the array of findings provides anything but consensus on either the existence of relations or direction of causality between the variables. This study extends research in this area by studying the long-run and causal relations between economic growth, electricity consumption, labour and capital based on the neo-classical one sector aggregate production technology mode using data of electricity consumption and real GDP for ASEAN from the year 1983 to 2012. The analysis is conducted using advanced panel estimation approaches and found no causality in the short run while in the long-run, the results indicate that there are bidirectional relationship among variables. This study provides supplementary evidences of relationship between electricity consumption and economic growth in ASEAN.


2005 ◽  
Vol 08 (04) ◽  
pp. 687-705 ◽  
Author(s):  
D. K. Malhotra ◽  
Vivek Bhargava ◽  
Mukesh Chaudhry

Using data from the Treasury versus London Interbank Offer Swap Rates (LIBOR) for October 1987 to June 1998, this paper examines the determinants of swap spreads in the Treasury-LIBOR interest rate swap market. This study hypothesizes Treasury-LIBOR swap spreads as a function of the Treasury rate of comparable maturity, the slope of the yield curve, the volatility of short-term interest rates, a proxy for default risk, and liquidity in the swap market. The study finds that, in the long-run, swap spreads are negatively related to the yield curve slope and liquidity in the swap market. We also find that swap spreads are positively related to the short-term interest rate volatility. In the short-run, swap market's response to higher default risk seems to be higher spread between the bid and offer rates.


2021 ◽  
Vol 7 (2) ◽  
pp. 263-272
Author(s):  
Sulaman Hafeez Siddiqui ◽  
Sohail Saeed ◽  
Areeba Khan ◽  
Hina Bhatti

Purpose: The benefits of Information and Communication Technologies (ICTs) in environmental resource management has been a topic of hot discussion for the policymakers across the world.  For the purpose, the government of Pakistan took initiative in 2018 to use technology for the country’s social welfare, financial benefits and to enhance environmental sustainability and named it as “Digital Pakistan Initiative”.Design/Methodology/Approach: For analysis, this study took CO2 emissions as the dependent variable and ICT, FDI inflows, and Trade Openness as independent variables. Data were collected on bimonthly basis from 2004 through 2019, and analyzed employing ARDL approach. Main purpose of the study was to examine the short-run and long-run relationship among carbon emissions and ICT, FDI Inflows and Trade Openness.Findings: The findings show that there exists a short-run relationship among all the variables; however, FDI inflows and trade openness have a significant relationship with CO2 emissions. The results also exhibit that there is no long-run relationship between CO2 emissions, FDI inflows, and Trade openness while ICT has an insignificant long-run relationship with CO2 emissions. With the increase of information and communication, the country’s environmental sustainability is also increased. Implications/Originality/Value: The current study was based on least considered variables and the pioneer in testing the complex relationship through VAR estimation.


2018 ◽  
Vol 18 (1) ◽  
pp. 123-143
Author(s):  
Thomas Habanabakize ◽  
Paul-Francois Muzindutsi

Abstract The manufacturing sector is one of the backbones of the South African economy, and yet is one of the economic sectors facing challenges in job creation. This study analysed the long-run and short-run effects of aggregate expenditure components on job creation in the South African manufacturing sector. A Vector Autoregressive (VAR) with Johansen co-integration approach was used to analyse quarterly data from 1994 to 2015. The findings are that there is a long-run relationship between aggregate expenditure and job creation in the South African manufacturing sector, with government and investment spending being the major components of aggregate expenditure that create jobs in the South African manufacturing sector. Conversely, consumption spending destroys jobs in the manufacturing sector, while net exports have no significant effect on job creation. The short-run relationship between variables was not significant. Recommendations are that more effort should be put into investment spending, and government should spend more on investment than on consumption spending - in order to increase job creation in the manufacturing sector.


2020 ◽  
Vol 12 (5(J)) ◽  
pp. 23-32
Author(s):  
Elham Shubaita ◽  
Muhammad Mar’i ◽  
Mehdi Seraj

This paper investigates the relationship between trade balance, real exchange rates, and incomes in Tunisia by adopting the autoregressive distributed model (ARDL) by using data over the period of 1980 to 2018. We also used the bound test cointegration between variables at a 10% significant level. Our findings show that the Tunisia economy does not match the Marshall-Lerner condition in the long run, that provides an accurate description of the particular situation for which a country currency devaluation or depreciation its currency under both fixed or floating regime is predicted to enhance the trade balance of a country, which means there is no j-curve phenomenon in the long run, which tries to differentiate between the change of short-run and long-run effects in the change of exchange rate on the trade balance. Our findings match the Marshall-Lerner condition in the short run and can confirm the existing j-curve in the case of Tunisia.


2012 ◽  
Vol 15 (1) ◽  
pp. 1-42
Author(s):  
Heeho Kim ◽  
◽  
SaeWoon Park ◽  
Sun Hye Lee ◽  
◽  
...  

This paper studies the abnormal price behavior of Kangnam, a premium (high price) housing submarket in Seoul, Korea, which addresses the correlation between house prices, bank lending, and other factors, including income. Kangnam experienced the most dramatic price escalation during the study period (1999-2009) despite Korean government policies to stabilize house prices in 2005 and the U.S. subprime crisis in 2008. The empirical result shows that even though the house price in a premium market is, to some degree, positively influenced by income, it is not affected by bank lending in the short-run while negatively affected in the long-run. This suggests that a premium housing submarket has a peculiar price dynamics of its own unlike the other submarkets which seem to comply more or less with our notion of a general economic theory, especially in terms of house prices and bank lending.


2019 ◽  
Vol 46 (5) ◽  
pp. 1083-1103
Author(s):  
Constantinos Alexiou ◽  
Sofoklis Vogiazas

Purpose Housing prices in the UK offer an inspiring, yet a complex and under-explored research area. The purpose of this paper is to investigate the critical factors that affect UK’s housing prices. Design/methodology/approach The authors utilize the recently developed nonlinear ARDL approach of Shin et al. (2014) over the period 1969–2016. Findings The authors find that both the long-run and short-run impact of the price-to-rent (PTR) ratio and credit-to-GDP ratio on house prices (HP) is asymmetric whilst ambiguous results are established for mortgage rates, industrial production and equities. Apart from the novel framework of analysis, this study also establishes a positive association between HP and the PTR ratio which suggests a speculative behaviour and could imply the formation of a housing bubble. Originality/value It is the first study for the UK housing market that explores the underlying fundamental relationships by looking at nonlinearities hence, allowing HP to be tied by asymmetric relationships in the long as well as in the short run. Modelling the inherent nonlinearities enhances significantly the understanding of UK housing market which can prove useful for policymaking and forecasting purposes.


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