Search results

1

The Use of the Geographically Weighted Regression for the Real Estate Market Analysis

100%

Cellmer R.

Folia Oeconomica Stetinensia

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2012

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vol. 11

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issue 1

19-32

EN

The article presents a method for developing geographically weighted regression models for analyzing real estate market transaction prices and evaluating the effect of selected property attributes on the prices and value of real estate. The property attributes were evaluated on a grading scale to determine the relative (percentage) indicators characterizing the relationships on the real estate market. The market data were analyzed to evaluate the influence of infrastructure availability on the prices of land in Olsztyn. The results were used to assess the effect of every utility service on the property transaction prices.

2

Spatial Prediction Models for Real Estate Market Analysis

100%

Chrostek K., Kopczewska K.

Ekonomia. Rynek, Gospodarka, Społeczeństwo

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2013

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issue 35

25-43

EN

The econometric modeling of real estate prices is an important step in their valuation. As shown in the theory and practice of valuation, the most important determinant of these prices is location. Therefore, models comprising the spatial components give better estimates than a-spatial models. The purpose of this paper is to compare the quality of prediction for several models: a classical linear model estimated with OLS, linear OLS model including geographical coordinates, Spatial Expansion model, spatial lag and spatial error models, and geographically weighted regression. The evaluation will be based on the calibrated models for the real estate market data in Wroclaw in 2011. The study confirms that the inclusion of the spatial aspect of the analysis may result in improvement in the quality of models. Best fit to the data among the presented methods has proved a geographically weighted regression.

3

Municipal waste in Poland: analysis of the spatial dimensions of determinants using geographically weighted regression

88%

Antczak E.

European Spatial Research and Policy

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2019

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vol. 26

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issue 2

177-197

EN

This article provides a quantification of the territorially varied relation between socio-economic factors and the amount of municipal waste in Polish districts. For this purpose, eight causes were identified: revenue budgets, the number and area of uncontrolled dumping sites, population density, the share of working-age population, average gross monthly wages, registrations for permanent residence, and the number of tourists accommodated. The preliminary data analysis indicated that to understand waste generation in Poland at the local level it is necessary to consider regional specificity and spatial interactions. To increase the explained variability of phenomena, and emphasise local differences in the amount of waste, geographically weighted regression was applied.

4

Dynamics of agglomeration and competition in the hotel industry: A geographically weighted regression analysis based on an analytical hierarchy process and geographic information systems (GIS) data

88%

Illescas-Manzano M. D., Martínez-Puertas S., Marín-Carrillo G. M., Marín-Carrillo M. B.

Oeconomia Copernicana

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2023

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vol. 14

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issue 1

213-252

EN

Research background: The effects of locating next to other establishments of equivalent activity is a decision with serious and far-reaching implications, not only from the point of view of location decisions but also with regard to competitive strategy, pricing, or promotion decisions. The literature provides evidence of the negative effects of being proximate to competitors (erosion of market share), but there are also benefits associated with the increased attraction of demand (attraction effect). This phenomenon is of particular interest in the case of hospitality, where hotel concentrations can be found around certain tourism resources, and is a crucial factor in hoteliers' decisions as they evaluate these contradictory effects. Purpose of the article: Drawing from the relevance that the confrontation between agglomeration and competition has in the hotel industry, our study aims to examine if this confrontation can be driven by geographical location and how both vertical and horizontal differentiation factors can unbalance it. Methods: Based on the use of geographical information systems and the estimation of a geographically weighted regression model with a wide dataset that includes 3,153 European hotels located in Spain, France and the United Kingdom. Findings & value added: We extend agglomeration and competition theoretical bodies related to location decisions by providing new findings about their simultaneous effect. Specifically, this study contributes to filling the gap regarding their combined effects on pricing and the conditions under which one prevails over the other. Results show that the role of geographical location and a hotel's online reputation are more decisive differentiation factors than hotel category when explaining the asymmetry of the effects of agglomeration and competition.

5

An attempt to model the demand for new cars in Poland and its spatial differences.

75%

Kisiała W., Kudłak R., Gadziński J., Dyba W., Kołsut B., Stryjakiewicz T.

Economics and Business Review

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2017

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vol. 3(17)

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issue 4

111-127

EN

The article seeks to identify socio-economic conditions that affect the demand of individual consumers for cars and to analyse the spatial differences of those conditions. To achieve this objective use was made of methods and models of spatial econometrics. The analysis conducted embraced all poviats in Poland (the secondlevel unit of the Polish administrative division, equivalent to LAU-1, previously called NUTS-4) and covered the years 2010-2015. The findings show that the primary factor affecting the demand for new cars in Poland, other than the price, was the level of wealth of potential consumers. A complementary role was played by the demographic situation, the level of local development and the level of satisfaction of the needs for a motor vehicle. An in-depth analysis in the form of geographically weighted regression (GWR) showed there to be spatial variations in the conditions identified, which might explain the wide differences in the level of motorisation and the demand for new cars in Poland.

6

Społeczno-ekonomiczne i przestrzenne uwarunkowania popytu na nowe samochody w Polsce

63%

Kudłak R., Kisiała W., Gadziński J., Dyba W., Kołsut B., Stryjakiewicz T.

Studia Regionalne i Lokalne

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2017

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issue 2(68)

119-139

PL

Celem artykułu jest identyfikacja oraz analiza przestrzennego zróżnicowania uwarunkowań społeczno-ekonomicznych kształtujących popyt na rynku samochodowym wśród klientów indywidualnych. W postępowaniu badawczym zmierzającym do realizacji założonego celu wykorzystano metody i modele ekonometrii przestrzennej. Zakresem przestrzennym objęto Polskę w układzie powiatów, a zakres czasowy wyznaczają lata 2010–2015. Wyniki badania dowiodły, że do pozacenowych czynników kształtujących popyt na nowe samochody w Polsce należy zaliczyć przede wszystkim poziom zamożności potencjalnych konsumentów. Uzupełniającą rolę odgrywały: sytuacja demograficzna, poziom rozwoju lokalnego oraz poziom zaspokojenia potrzeb motoryzacyjnych. Pogłębiona analiza w postaci geograficznie ważonej regresji (GWR) wykazała, że zidentyfikowane uwarunkowania wykazują zmienność przestrzenną, co może uzasadniać duże zróżnicowanie poziomu motoryzacji w Polsce.

EN

The article seeks to identify socio-economic conditions that affect the demand of individual consumers for cars and to analyze spatial differences in these conditions. To achieve this objective, econometric modelling is conducted. The analysis was conducted in all poviats in Poland and covered the years 2010-2015. The findings show that the demand for new cars is stimulated by incomes of potential consumers and by a net in-migration, while the level of unemployment together with prices of complementary goods (especially petrol prices) negatively affect the demand for cars. Moreover, geographically weighted regression shows that the identified conditions differ across the country, which may explain the noticeable differences in the level of motorization between poviats.

Refine search results

1 Economics and Business Review

1 Ekonomia. Rynek, Gospodarka, Społeczeństwo

1 European Spatial Research and Policy

1 Folia Oeconomica Stetinensia

1 Oeconomia Copernicana

1 Studia Regionalne i Lokalne

2 Dyba W.

2 Gadziński J.

2 Kisiała W.

2 Kołsut B.

2 Kudłak R.

2 Stryjakiewicz T.

1 Antczak E.

1 Cellmer R.

1 Chrostek K.

1 Illescas-Manzano M. D.

1 Kopczewska K.

1 Martínez-Puertas S.

1 Marín-Carrillo G. M.

1 Marín-Carrillo M. B.

1 2023

1 2019

2 2017