| dc.contributor.author | Kolbe, Jens | |
| dc.contributor.author | Wüstemann, Henry | |
| dc.date.accessioned | 2015-11-06T11:35:58Z | |
| dc.date.available | 2015-11-06T11:35:58Z | |
| dc.date.issued | 2014 | |
| dc.identifier.issn | 0208-6018 | |
| dc.identifier.uri | http://hdl.handle.net/11089/13303 | |
| dc.description.abstract | Urban Green Spaces (UGS), such as parks and forests, provide a wide range of environmental and recreational benefits. One objective in the conservation efforts of UGS is to analyse the benefits associated with UGS in order to make them more visible and to provide support for landscape planning. This paper examines the effects of UGS on house prices applying a Hedonic Pricing Method (HPM). The data set contains over 85046 geo-coded apartment transactions for the years 19952012 and contains information on three intrinsic variables of the real estate (e.g. transaction price, floor area and age). In order to examine the capitalisation of UGS in real estate prices, we further incorporated cross-section geo-coded data for the different types of UGS: forests, parks, farmland and fallow land drawn from the European Urban Atlas (EUA) of the European Environment Agency for the year 2006. In order to control for additional open space categories, we further incorporated geocoded data on water bodies and fallow land. Using a Geographical Information System (GIS), we calculated the coverage of UGS in pre-defined buffers around households as well as the distance in a continuous fashion (Euclidian distance) between UGS and the households. Our results show a capitalisation of UGS in real estate prices, but the effect of the structural variables is higher. We found a positive price effect of parks, forests and water and an inverse relation between the price variable and the presence of fallow land and farmland. | pl_PL |
| dc.description.abstract | Miejskie Przestrzenie Zielone (UGS), takie jak parki i lasy, zapewniają szeroki zakres korzyści środowiskowych i rekreacyjnych. Jednym z celów w działaniach ochronnych UGS jest analiza korzyści związanych z nimi, aby stały się one bardziej widoczne i zapewniać im wsparcie w zakresie planowania krajobrazu. Artykuł analizuje wpływ UGS na ceny domów, z wykorzystaniem metody ceny hedonicznej (HPM). Zestaw danych zawiera ponad 85 046 transakcji dla mieszkań, geograficznie kodowanych, w latach 19952012 i zawiera informacje dotyczące trzech istotnych zmiennych nieruchomości (np. ceny transakcyjnej, powierzchni użytkowej i wieku). W celu zbadania kapitalizacji UGS w cenach nieruchomości, włączone zostały geokodowane dane przekrojowe dla różnych typów UGS: lasy, parki, pola uprawne i ugorów, pochodzące z Europejskiego Atlasu Miejskiego (EUA), Europejskiej Agencji Ochrony Środowiska z roku 2006. W celach sterowania, dla dodatkowych kategorii otwartych przestrzeni, włączono dane geokodowane dla zbiorników wodnych i ugorów. Korzystanie z Systemu Informacji Geograficznej (GIS) umożliwiło obliczenie zasięgu UGS w predefiniowanych buforach wokół gospodarstw domowych, jak również odległości, wyrażonej w sposób ciągły (odległość euklidesowa) pomiędzy UGS i gospodarstwami domowymi. Wyniki wskazują na kapitalizację UGS w cenach nieruchomości, ale efekt zmiennych strukturalnych jest wyższy. Wykazano pozytywny wpływ cen parków, lasów i wody oraz odwrotną zależność między zmienną cen, a obecności ugorów i gruntów rolnych. | pl_PL |
| dc.language.iso | en | pl_PL |
| dc.publisher | Wydawnictwo Uniwersytetu Łódzkiego | pl_PL |
| dc.relation.ispartofseries | Acta Universitatis Lodziensis. Folia Oeconomica;5 | |
| dc.title | Estimating the Value of Urban Green Space: A Hedonic Pricing Analysis of the Housing Market in Cologne, Germany | pl_PL |
| dc.title.alternative | Szacowanie wartości miejskich przestrzeni zielonych: analiza hedoniczna cen na rynku mieszkaniowym w Kolonii, Niemcy | pl_PL |
| dc.type | Article | pl_PL |
| dc.rights.holder | © Copyright by Uniwersytet Łódzki, Łódź 2014 | pl_PL |
| dc.page.number | [45]-61 | pl_PL |
| dc.contributor.authorAffiliation | Berlin Institute of Technology – Technische Universität Berlin, Econometrics and Business Statistics, Berlin, Germany | pl_PL |
| dc.contributor.authorAffiliation | Berlin Institute of Technology – Technische Universität Berlin, Environmental and Land Economics, Berlin, Germany | pl_PL |
| dc.identifier.eissn | 2353-7663 | |
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| dc.relation.volume | 307 | pl_PL |
