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Article
Publication date: 3 October 2023

Umar Lawal Dano

This study aims to examine the determinants that influence housing prices in Dammam metropolitan area (DMA), Saudi Arabia, by using the analytic hierarchy process (AHP) model. The…

Abstract

Purpose

This study aims to examine the determinants that influence housing prices in Dammam metropolitan area (DMA), Saudi Arabia, by using the analytic hierarchy process (AHP) model. The study considers determinants such as building age (BLD AG), building size (BLD SZ), building condition (BLD CN), access to parking (ACC PK), proximity to transport infrastructure (PRX TRS), proximity to green areas (PRX GA) and proximity to amenities (PRX AM).

Design/methodology/approach

The AHP decision model was used to assess the determinants of housing prices in DMA, using a pair-wise comparison matrix to determine the influence of the investigated factors on housing prices.

Findings

The study’s results revealed that building size (BLD SZ) was the most critical determinant affecting housing prices in DMA, with a weight of 0.32, trailed by proximity to transport infrastructure (PRX TRS), with a weight of 0.24 as the second most influential housing price determinant in DMA. The third most important determinant was proximity to amenities (PRX AM), with a weight of 0.18.

Originality/value

This study addresses a research gap by using the AHP model to assess the spatial determinants of housing prices in DMA, Saudi Arabia. Few studies have used this model in examining housing price factors, particularly in the context of Saudi Arabia. Consequently, the findings of this study provide unique insights for policymakers, housing developers and other stakeholders in understanding the importance of building size, proximity to transport infrastructure and proximity to amenities in influencing housing prices in DMA. By considering these determinants, stakeholders can make informed decisions to improve housing quality and prices in the region.

Details

International Journal of Housing Markets and Analysis, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1753-8270

Keywords

Article
Publication date: 1 March 1982

An attempt is made in this paper to discriminate among four groups of transfer pricing methods namely: market price, cost, negotiation, and other methods, according to the…

Abstract

An attempt is made in this paper to discriminate among four groups of transfer pricing methods namely: market price, cost, negotiation, and other methods, according to the transfer pricing objectives and other environmental issues (i.e. transfer pricing determinants). Discrimination is attempted on the data collected in the study of UK companies described in the earlier paper “A Survey of UK Transfer Pricing Practice — Some Preliminary Findings”. The aim of the discrimination is to evaluate the relationship between the transfer pricing method and transfer pricing determinants. This evaluation enables the prediction of transfer pricing method for new cases according to the company's perception of the relative importance of the transfer pricing determinants.

Details

Managerial Finance, vol. 8 no. 3/4
Type: Research Article
ISSN: 0307-4358

Article
Publication date: 1 March 1982

In most companies of any size internal transactions will be conducted between divisions which may be departments or separate legal entities. Even if a company has no subsidiary it…

Abstract

In most companies of any size internal transactions will be conducted between divisions which may be departments or separate legal entities. Even if a company has no subsidiary it may wish to formally apply to the transactions monetary values which customarily are known as transfer prices.

Details

Managerial Finance, vol. 8 no. 3/4
Type: Research Article
ISSN: 0307-4358

Article
Publication date: 22 June 2021

Antonio M. Cunha and Júlio Lobão

This paper explores the real estate price determinants at four geographical levels: in the European Union as a whole, in the 28 European Union countries, in one European Union…

Abstract

Purpose

This paper explores the real estate price determinants at four geographical levels: in the European Union as a whole, in the 28 European Union countries, in one European Union country (Portugal) and in 25 Portuguese metropolitan statistical areas (MSAs).

Design/methodology/approach

The authors run two time series regression models and two panel data regression models with observations of potential real estate price determinants and House Price Indices collected from Eurostat.

Findings

The results show that price determinants, such as gross domestic product (GDP), interest rates, housing starts and tourism, are statistically significant, but not in all the four geographical levels of analysis. The results also confirm the autoregressive characteristic of real estate prices, with the last period price change being the most important determinant of current period real estate price change.

Practical implications

Forecasting real estate prices can be made more effective by knowing that each geographical level of analysis implies different price determinants and that momentum is an important determinant in real estate returns.

Originality/value

To the best of the authors knowledge, this is the first study to develop and test a real estate price equilibrium model at several different geographical levels of the same political space.

Details

Journal of European Real Estate Research, vol. 14 no. 3
Type: Research Article
ISSN: 1753-9269

Keywords

Article
Publication date: 11 March 2014

Manu Carricano

Many companies lack insights or fact-based support for the pricing decisions they make in an increasingly complex environment. In order to optimize their pricing process, managers…

3485

Abstract

Purpose

Many companies lack insights or fact-based support for the pricing decisions they make in an increasingly complex environment. In order to optimize their pricing process, managers need to identify key indicators that may influence the performance of their decisions. The purpose of this paper is to report an investigation of pricing determinants in large companies manufacturing capital goods in France. First a conceptual framework is proposed, in order to fill several gaps identified in the literature on pricing practices and more precisely by operating a distinction between environmental variables (determinants), decision making (pricing strategy and price and product-line structures) and its consequence in terms of price level.

Design/methodology/approach

The author conducted an empirical research on the determinants of the pricing process. This study consistedof a questionnaire survey addressed to pricing managers (or executives in charge of pricing) in 98 of the largest manufacturing companies in France about their new-product pricing decision-making process.

Findings

The author studies environmental determinants and their influence on the pricing and describes the structure of pricing determinants as a five dimensions construct: market-based, value-based, position-based, competition-based and production-based. The results show that firms rely on environmental determinants as indicators of their pricing flexibility. These indicators operate as pricing levers: a good position on these variables gives firms more pricing power. But in the vast majority of the cases, companies extensively relied on competitive conditions instead of taking advantage of a favorable position, described as pricing myopia.

Originality/value

This paper describes current pricing practices in leading companies with key informants (mainly pricing managers) highly involved in the pricing decision process, and contrasts two pricing orientations, pricing power vs pricing myopia.

Details

Management Decision, vol. 52 no. 1
Type: Research Article
ISSN: 0025-1747

Keywords

Article
Publication date: 1 May 1995

Arthur Meidan and Alan C. Chin

Presents the results of an empirical study that investigatescomparatively the mortgage‐pricing determinants of national, regionaland local building societies. Considers and…

1420

Abstract

Presents the results of an empirical study that investigates comparatively the mortgage‐pricing determinants of national, regional and local building societies. Considers and discusses the importance of the three main generic strategies (focus, differentiation and cost leadership) and building societies′ main pricing objectives – profit margins, market share, and mutuality. The findings suggest that building societies′ mortgage pricing is influenced primarily by internal industry determinants – such as “costs” and “competitors′ prices” – and to a lesser extent by market‐related factors (customers′ perception of value and elasticity of demand). A large majority of building societies view profit margins, rather than market share, as their primary pricing objective. In order to facilitate this pricing objective, societies select strategies that match their size and market characteristics. Local building societies employ primarily a focus strategy, while national and regional building societies aim at achieving their profit margins mainly through differentiation and cost leadership strategies.

Details

International Journal of Bank Marketing, vol. 13 no. 3
Type: Research Article
ISSN: 0265-2323

Keywords

Article
Publication date: 17 February 2021

Shizhen Wang and David Hartzell

This paper aims to examine real estate price volatility in Hong Kong. Monthly data on housing, offices, retail and factories in Hong Kong were analyzed from February 1993 to…

Abstract

Purpose

This paper aims to examine real estate price volatility in Hong Kong. Monthly data on housing, offices, retail and factories in Hong Kong were analyzed from February 1993 to February 2019 to test whether volatility clusters are present in the real estate market. Real estate price determinants were also investigated.

Design/methodology/approach

Autoregressive conditional heteroscedasticity–Lagrange multiplier test is used to examine the volatility clustering effects in these four kinds of real estate. An autoregressive and moving average model–generalized auto regressive conditional heteroskedasticity (GARCH) model was used to identify real estate price volatility determinants in Hong Kong.

Findings

There was volatility clustering in all four kinds of real estate. Determinants of price volatility vary among different types of real estate. In general, housing volatility in Hong Kong is influenced primarily by the foreign exchange rate (both RMB and USD), whereas commercial real estate is largely influenced by unemployment. The results of the exponential GARCH model show that there were no asymmetric effects in the Hong Kong real estate market.

Research limitations/implications

This volatility pattern has important implications for investors and policymakers. Residential and commercial real estate have different volatility determinants; investors may benefit from this when building a portfolio. The analysis and results are limited by the lack of data on real estate price determinants.

Originality/value

To the best of the authors’ knowledge, this paper is the first study that evaluates volatility in the Hong Kong real estate market using the GARCH class model. Also, this paper is the first to investigate commercial real estate price determinants.

Details

International Journal of Housing Markets and Analysis, vol. 15 no. 1
Type: Research Article
ISSN: 1753-8270

Keywords

Article
Publication date: 28 December 2020

Ruggero Sainaghi

This paper aims to explore two research questions. The first focuses on the main methodological characteristics of previous studies in the field of price and revenue research in…

Abstract

Purpose

This paper aims to explore two research questions. The first focuses on the main methodological characteristics of previous studies in the field of price and revenue research in terms of commercial peer-to-peer accommodation platforms (P2P APs). The second compares the 33 articles and identifies the convergent and divergent findings. The literature review outlines some future research avenues.

Design/methodology/approach

This paper is a literature review that explore the price and revenue determinants in the field of P2P APs (such as Airbnb). The methodology shows how the sample was defined and is based on three steps: selection of papers, sample selection, and coding. The research was carried out in March 2020 and generated an initial sample composed of roughly 3,000 articles. A two-stage inclusion/exclusion process was applied to select the final sample, which includes 33 articles.

Findings

The empirical findings report the main antecedents of price and revenue as well as the methodological domains of the analyzed papers. Focusing on determinants, six blocks of variables were identified. The listing variables (48%), host characteristics (18%), location (12%), guest review (11%), destination characteristics (11%) and external comparison (1%). For each block, convergent and divergent findings are illustrated.

Research limitations/implications

The main limitations of this study relate to the criteria used in selecting the sample and the manual coding activity. This last decision (manual coding activity) was based on the limited number of papers available and the wide spectrum of variables used.

Practical implications

The practical implications are many, and they include a greater awareness of the variables that influence price and revenue as well as the impact that these variables could have on rates. Furthermore, managers interested in analyzing specific topics or variables can find analytical support in the information reported in the appendices.

Originality/value

The evidence provided is useful both for scholars considering further research in this field and for practitioners seeking to define pricing policies. Some future research avenues have been outlined, including new topics for development and methodological advancements.

Details

International Journal of Contemporary Hospitality Management, vol. 33 no. 2
Type: Research Article
ISSN: 0959-6119

Keywords

Article
Publication date: 19 September 2023

Nhung Thi Nguyen, Lan Hoang Mai Nguyen, Quyen Do and Linh Khanh Luu

This paper aims to explore factors influencing apartment price volatility in the two biggest cities in Vietnam, Hanoi and Ho Chi Minh City.

Abstract

Purpose

This paper aims to explore factors influencing apartment price volatility in the two biggest cities in Vietnam, Hanoi and Ho Chi Minh City.

Design/methodology/approach

The study uses the supply and demand approach and provides a literature review of previous studies to develop four main hypotheses using four determinants of apartment price volatility in Vietnam: gross domestic product (GDP), inflation rate, lending interest rate and construction cost. Subsequently, the Vector Error Correction Model (VECM) is used to analyze a monthly data sample of 117.

Findings

The research highlights the important role of construction costs in apartment price volatility in the two largest cities. Moreover, there are significant differences in how all four determinants affect apartment price volatility in the two cities. In addition, there is a long-run relationship between the determinants and apartment price volatility in both Hanoi and Ho Chi Minh City.

Research limitations/implications

Limitations related to data transparency of the real estate industry in Vietnam lead to three main limitations of this paper, including: this paper only collects a sample of 117 valid monthly observations; apartment price volatility is calculated by changes in the apartment price index instead of apartment price standard deviation; and this paper is limited by only four determinants, those being GDP, inflation rate, lending interest rate and construction cost.

Practical implications

The study provides evidence of differences in how the above determinants affect apartment price volatility in Hanoi and Ho Chi Minh City, which helps investors and policymakers to make informed decisions relating to the real estate market in the two biggest cities in Vietnam.

Social implications

This paper makes several recommendations to policymakers and investors in Vietnam to ensure a stable real estate market, contributing to the stability of the national economy.

Originality/value

This paper provides a new approach using VECM to analyze both long-run and short-run relationships between macroeconomic and sectoral independent variables and apartment price volatility in the two biggest cities in Vietnam.

Details

International Journal of Housing Markets and Analysis, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1753-8270

Keywords

Article
Publication date: 28 July 2023

Moonsup Hyun and Brian P. Soebbing

Scholars note there are limited studies analyzing ticket price determinants. Using the common seat approach, the authors sought to advance this line of research by analyzing…

Abstract

Purpose

Scholars note there are limited studies analyzing ticket price determinants. Using the common seat approach, the authors sought to advance this line of research by analyzing determinants of National Basketball Association (NBA) ticket prices in the secondary ticket market. The authors’ research seeks to ask two questions. The first is how ticket prices in the secondary market are associated with common determinants of consumer demand. The second question is what impact the COVID-19 pandemic has on ticket prices in the secondary market.

Design/methodology/approach

Ticket prices of NBA regular season games in the 2021–2022 season were collected a week before the game day from Ticketmaster.com. A regression model was estimated with a group of independent variables: income, population, consumer preference, quality of viewing, quality of contest and pandemic (the number of COVID-19 cases).

Findings

Results indicate income, population, consumer preferences (e.g. team quality and star players) and quality of viewing (e.g. arena age and weekend) impact prices. Further, the number of COVID-19 cases did reduce the ticket price.

Originality/value

The present study illuminates the theoretical significance of analyzing ticket prices as a proxy of demand in professional sport, while providing practical implications regarding the potential opportunity to increase revenue.

Details

Sport, Business and Management: An International Journal, vol. 13 no. 4
Type: Research Article
ISSN: 2042-678X

Keywords

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