Real estate ownership and life satisfaction in transition countries

2019 ◽  
Vol 12 (3) ◽  
pp. 345-364
Author(s):  
John Edwin Anderson

Purpose The purpose of this study is to test the hypothesis that real estate ownership contributes to life satisfaction in transition countries. Design/methodology/approach Life in Transition survey data are used to model reported life satisfaction using ordinary least squares, ordered probit, generalized ordered logit and bivariate probit models. The hypothesis tested is whether real estate ownership is associated with greater reported life satisfaction. Findings Empirical results from the variety of empirical models estimated strongly support the hypothesis that real estate ownership is associated with greater reported life satisfaction in transition countries. Research limitations/implications Analysis is limited because life satisfaction is self-reported and specifically for residents of transition countries. Practical implications Results confirm that ownership of a home, second home or land parcel is associated with greater life satisfaction. Social implications Real estate ownership can be an effective means to improve life satisfaction, especially in societies needing such improvements. Originality/value This is the first study of the link between real estate ownership and life satisfaction specifically in transition countries, and using a robust set of empirical models to address issues of ordinal dependent variables, varying coefficient estimates across dependent variable response categories, endogeneity and causality.

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Le Khuong Ninh

PurposeThis paper investigates the impact of education on output of rice farming households in Vietnam.Design/methodology/approachGiven the literature review, this paper specifies three empirical models (i.e. linear constant coefficient model, partially nonlinear model and linear varied coefficient model) with variables that well describe the mechanism through which education affects output. The data were collected from 901 rice farming households randomly selected out of ten provinces and city in the Mekong River Delta (MRD) of Vietnam. The models are estimated using ordinary least squares (OLS) and Robinson's (1988) double residual estimators.FindingsEstimates of the empirical models show that seed, fertilizer, labor and farm size have significant impacts on output of rice farming households while pesticide and herbicide do not. Education is also found to have a positive effect on output of rice farming households because it helps them better manage farms of larger size via combining various inputs in a more desirable way.Originality/valueThis paper confirms the positive impact of education on agricultural output, which implies that policies aiming to provide better education to rural people will greatly enhance their income as well as trigger long-term economic and agricultural growth.


2016 ◽  
Vol 9 (2) ◽  
pp. 239-255 ◽  
Author(s):  
Marsela Thanasi (Boçe)

Purpose The approved methodology of property valuation in Albania evaluates the reference property prices based on the average contractual price of properties sold and takes into account only factors such as price, square meters of living and location of property. Simple method is the one used on evaluating the reference price for a group of properties with similar characteristics. The purpose of this study is, by building a hedonistic pricing model for apartments in Tirana, to prove empirically that in addition to location, there are other characteristics that affect the value of apartments. Design/methodology/approach The capital city is chosen as a case study for the construction of a hedonistic pricing model. In the database were included detailed characteristics of 1,421 apartments. Multiple regression analysis was chosen in this model as a method to test hypotheses about the causal relationship between house value Y and independent variables XS, representing the characteristics of the property. Population equation parameters β0, β1, β2 […], βn. were evaluated by the ordinary least squares method. Selection of α-standard is 5 per cent, taking into account the significant number of observations and the degree of regression freedom. Findings Based on this study, it was proved empirically that the characteristics of the apartments as square meters of living, number of rooms, access to parking, furniture, view and surface of living affect their price. As a literature review showed, location is the most important variable that affects the value. Results showed that the marginal effect that the number of rooms has on the apartment value depends on the square meters of living of the apartment. In the same line, the effect of the square meters of living on value depends on the square meters, as the relationship between these variables is nonlinear and depends more on the number of rooms. Research limitations/implications It was impossible to find the information on property sales contracts. That is why this study was oriented toward the market and took into account the properties offered for sale at one of the biggest real estate agency “Çelësi”. More accurate information regarding properties characteristics could be obtained. The information was limited and depended on the best apartment characteristics that potential sellers wanted to advertise. On the other side, contractual sales price is oriented by the reference price, so, the applied methodology has resulted in better evaluations of real estate prices, which reflect the market price. Practical implications This study is conducted as an applicable research. After analyzing the property valuation system in Albania, the study recommends the change of the method used on apartment valuation. Improvement of the property valuation system requires first of all creation of a complete and updated database for all real estate sales. Social implications Property valuation is a very important function of the land administration system which directly affects people’s life. Property evaluation for different purposes like tax evaluation, compensation and expropriation is a process that must be designed using an equal, transparent and well-accepted methodology by all. Promotion of property valuation system development is helpful to various interest groups in society, as it can reduce the risk of investment in this sector and encourages lower rates of interest on loans. Originality/value To the author's knowledge, the hedonic model is not applied on the Albanian housing market, thus providing encouragement to deepen the study in this regard. The study is original and has a very important impact on policymakers to change the actual property valuation methodology to obtain more accurate property values.


2020 ◽  
Vol 13 (2) ◽  
pp. 161-179
Author(s):  
Mariusz Doszyń

Purpose The purpose of this paper is to present an algorithm of real estate mass appraisal in which the impact of attributes (real estate features) is estimated by inequality restricted least squares (IRLS) model. Design/methodology/approach This paper presents the algorithm of real estate mass appraisal, which was also presented in the form of an econometric model. Vital problem related to econometric models of mass appraisal is multicollinearity. In this paper, a priori knowledge about parameters is used by imposing restrictions in the form of inequalities. IRLS model is therefore used to limit negative consequences of multicollinearity. In ordinary least squares (OLS) models, estimator variances might be inflated by multicollinearity, which could lead to wrong signs of estimates. In IRLS models, estimators efficiency is higher (estimator variances are lower), which could result in better appraisals. Findings The final effect of the analysis is a vector of the impact of real estate attributes on their value in the mass appraisal algorithm. After making expert corrections, the algorithm was used to evaluate 318 properties from the test set. Valuation errors were also discussed. Originality/value Restrictions in the form of inequalities were imposed on the parameters of the econometric model, ensuring the non-negativity and monotonicity of real estate attribute impact. In case of real estate, variables are usually correlated. OLS estimators are then inflated and inefficient. Imposing restrictions in form of inequalities could improve results because IRLS estimators are more efficient. In the case of results inconsistent with theoretical assumptions, the real estate mass appraisal algorithm enables having the obtained results adjusted by an expert. This can be important for low quality databases, which is often the case in underdeveloped real estate markets. Another reason for expert correction may be the low efficiency of a given real estate market.


2015 ◽  
Vol 8 (2) ◽  
pp. 107-129 ◽  
Author(s):  
Karim Rochdi

Purpose – This paper aims to investigate the repercussions and impact of corporate real estate on the returns of non-real-estate equities in a time-series setting. While the ownership of real estate constitutes a considerable proportion of most listed firms’ balance sheet, in the existing literature, whether or not the benefits outweigh the risks associated with corporate real estate, is the subject of controversy. Design/methodology/approach – The role of corporate real estate ownership in the pricing of returns is examined, after taking well-documented systematic risk factors into account. Employing a data sample from 1999 to 2014, the conditions and characteristics faced by firms with distinct levels of corporate real estate holdings are identified and analyzed. Findings – The findings reveal that corporate real estate intensity indeed serves as a priced determinant in the German stock market. Among other results, the real-estate-specific risk factor shows countercyclical patterns and is particularly relevant for companies within the manufacturing sector. Practical implications – The findings provide new insights into the interpretation of corporate real estate and expected general equity returns. Thus, the present analysis is of particular interest for investors, as well as the management boards of listed companies. Originality/value – To the best of the author’s knowledge, this is the first paper to investigate the ownership of corporate real estate as a priced factor for German equities, after accounting for the well-documented systematic risk factors, namely, market (market risk premium), size (small minus big) and book-to-market-ratio (BE/ME) (high minus low).


2011 ◽  
Vol 4 (2) ◽  
pp. 155-171 ◽  
Author(s):  
Alain Bonnafous ◽  
Marko Kryvobokov

PurposeThe purpose of this paper is to better understand the spatial structure of the Lyon urban area focusing on real estate. For this, two aims are formulated. The first aim is to identify and geographically analyse latent structure underlying apartment variables and location. The second aim is to decrease a number of explanatory variables in a hedonic model of real estate prices applying latent constructs.Design/methodology/approachFor the first aim of a parsimonious representation among measured variables, exploratory factor analysis is applied. For the second aim of data reduction, principal component analysis (PCA) is used. The exploited regression methodologies are global and geographically weighted ordinary least squares.FindingsFour factors are extracted, of which two represent apartment attributes and other two – location attributes. Principal components provide better insight into location attributes dividing the service employment centres into two geographical groups. The inclusion of principal components in hedonic price equation instead of initial location variables decreases goodness of fit, but does not gradually change non‐location estimates and other parameters.Originality/valueDifferently from previous applications of factor analysis and PCA in the real estate domain, oblique rotation is applied, which allows the extracted factors or components to be correlated. The scores of factors and components are interpolated from points to raster maps creating a continuous geographical distribution. Hedonic models with and without principal components are compared in detail.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Julian Seger ◽  
Kristina Stoner ◽  
Andreas Pfnuer

Purpose The purpose of this study is to find out if corporate real estate ownership is priced into the capital market performance of non-property companies in the UK. This is of particular interest because ownership still represents a significant weight on the balance sheets and is predominantly considered unfavourable due to its bulkiness and difficult revisability in the event of changes in space demand. This draws attention to the UK as one of the most important European economies that have been exposed to strong uncertainties and dynamics, for example, due to the withdrawal voting of the United Kingdom from the European Union (BREXIT). Design/methodology/approach A first look at the real estate assets reported in balance sheets provides insight into possible changes in ownership strategy. This serves as a basis for subdividing companies based on their real estate assets using a portfolio-based approach and that are then analysed using the Fama and French multi-factor model with regard to their influence on capital market returns. Findings In general, the share of real estate assets has fallen over the past 10 years, although coinciding with BREXIT voting, some industries such as manufacturing show a turnaround. At the same time, ownership is priced in as a factor on the capital market, which applies to a sample across industries, as well as to separately considered sectors in the manufacturing and service industries. The pricing also shows a counter-cyclical pattern. Practical implications Corporate real estate management should be aware of the negative influence of ownership, especially against the background of economic fluctuations. The reduction of ownership can reduce the associated cost of capital and increase company success. Originality/value Previous UK-related studies mostly refer to a period before the global economic crisis in 2008, and therefore, are too old to reflect a changed view on corporate real estate ownership because of new corporate environmental conditions, based on inaccurate proxies or mainly refer to the retail segment. This research gap is closed.


Author(s):  
Nahg Abdulmajid Alawi ◽  
Husam Mohammed Belfaqih

Purpose The purpose of this paper is to determine the quality of HR disclosure of companies listed in Qatari Exchange Market and identify factors that influence the level of this HR disclosure quality. Design/methodology/approach Content analysis of annual reports and sustainability reports of 12 companies from industrial and real estate sectors over the period 2013–2015 had been analyzed using the three-point scale (0–2, numerical disclosure 2, 1 for narrative form and 0 for not disclosed). This research employed also multiple regressions, in order to examine the impact of profitability and employee expenses on HR disclosure quality. Findings The results point out that HR disclosure quality level is very low among the sample companies. The ordinary least squares (OLS) regression analysis results indicate that the level of HR disclosure quality is associated with company’s employees expenses as a proportion of its total operating expenses, whereas profitability does not have a significant influence on its level of HR disclosure quality. Research limitations/implications The current study has two important limitations. First, the sample of the study consists of only 12 leading Qatari industrial and real estate sectors firms listed on the Qatar Stock Exchange Market. Second, the study used an unweighted index which implies equal importance of the selected information items. Originality/value The study has bridged the literature gaps by offering empirical evidence and new insights on the HR disclosure quality in Qatar and the factors that affect, which have not been examined before.


2017 ◽  
Vol 10 (4) ◽  
pp. 489-502 ◽  
Author(s):  
Hassan F. Gholipour ◽  
Muhammad Najib Razali

Purpose The aim of this study is to investigate the factors influencing the financial performance of the real estate brokerage (REB) industry in Iran. Design/methodology/approach The authors use two surveys concerning REB firms from provinces of Iran which were collected by the Statistical Centre of Iran in 2003 and 2011. The authors apply the pooled ordinary least squares and panel fixed-effects regressions to estimate the relationships between the explanatory variables and performance of REB industry. Findings The results indicate that in provinces where REB firms invest more in residential properties, vehicles, computers and business software, REB firms are more active in residential and non-residential property sales, and rent transactions have higher levels of financial performance. In addition, the results show that in provinces where REB firms invest more in non-residential properties and office furniture, REB industry has lower levels of financial performance. The authors also find that Iranian REB industry has significantly benefited from international economic and financial sanctions. Practical implications In terms of managerial implications, the authors findings potentially serve as guidance for Iranian REB firms to allocate resources and adjust their strategy to enhance their financial performance. Originality value Previous studies have typically been conducted in countries where REB firms mainly operate as intermediaries in transactions between property buyers and sellers, whereas in Iran, REB firms not only provide services to their clients but also are very active speculators in the property market. Furthermore, while there have been many studies that have investigated the various determinants of performance and efficiency of REB industry in developed economies, there is scant literature around this topic for Middle Eastern countries.


2014 ◽  
Vol 32 (3) ◽  
pp. 229-243 ◽  
Author(s):  
John Edward Graham ◽  
Craig Galbraith ◽  
Curt Stiles

Purpose – The authors aim to measure the value of leasing, versus owning, business locations for the closely-held firm. Design/methodology/approach – The authors examine the sales transactions of small businesses in the USA – those with revenues of less than $20 million per year – between 1995 and 2010. The authors contrast the values of firms that own, and do not own, their real estate. Findings – In general, the authors find negative relationships between closely-held firm values and real estate ownership. Nowhere did the authors observe firm value being enhanced by property ownership. Research limitations/implications – The data set may be limited by the accuracy of the data provided by business brokers. Compared to the capital markets, the small business “exchange” is less efficient, but it is the only source of unlisted business sales data. Practical implications – The findings are important to the small-business broker and the investor. The broker might better advise the buyer and seller with the findings. Business owners, private equity investors, and their advisors, are all reminded to focus on the core business strategy and avoid getting “locked into” real estate ownership in a business investment. Originality/value – The impact of real estate on the valuations of closely-held firms is a largely unexamined area. And there is a lack of consistency on publicly-held company valuations as a function of real estate ownership; these public company findings and the dearth of work on the privately-held company's real estate attract the attention in this study.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Giacomo Morri ◽  
Rachele Anconetani ◽  
Luca Benfari

Purpose The purpose of this paper is to investigate the link between greenness and the operating performance in 50 listed European real estate investment trusts (REITs). Design/methodology/approach Using a sample of 50 listed European REITs, the analysis leverages on Ordinary least squares models to investigate the relationship between greenness and operating performance indicators. In particular, it examines three types of greenness indicators: the overall Green Real Estate Sustainability Benchmark (GRESB) rating, its two components (management and policy [MP] and implementation and measurement) and the seven aspect scores; return on equity (ROE) and return on assets (ROA) are the fundamental measures of REITs operating performance. Findings The results demonstrate a positive relationship between greenness indicators and operating performance in European REITs, but the impact on ROE and ROA differs depending on the GRESB variable analyzed. If the GRESB rating proved to be significant on ROE and ROA, none of its two components has an impact on ROA, and only the MP score has a positive relationship with ROE. Finally, of the seven aspect scores, only the stakeholder engagement is significant on the two dependent variables. Originality/value The commercial real estate sector has a significant role in tackling climate change issues. To incentivize the market to increase the investments in green buildings, it is essential to find a link between their sustainability characteristics and the improvements they deliver in terms of operating performance. Despite there being a substantial body of literature investigating this connection in the US REITs market, there is still limited knowledge on the relationship between green and operating indicators in the European REITs market.


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