Search results

Air quality, noise and proximity to urban infrastructure can arguably have an important impact on the quality of life. Environmental quality (the price of good health) has become a central tenet for consumer choice in urban locales when deciding on a residential neighbourhood. Unlike the market for most tangible goods, the market for environmental quality does not yield an observable per unit price effect. As no explicit price exists for a unit of environmental quality, this paper aims to use the housing market to derive its implicit price and test whether these constituent elements of health and well-being are indeed capitalised into property prices and thus implicitly priced in the market place.

A considerable number of studies have used hedonic pricing models by incorporating spatial effects to assess the impact of air quality, noise and proximity to noise pollutants on property market pricing. This study presents a spatial analysis of air quality and noise pollution and their association with house prices, using 2,501 sale transactions for the period 2013. To assess the impact of the pollutants, three different spatial modelling approaches are used, namely, ordinary least squares using spatial dummies, a geographically weighted regression (GWR) and a spatial lag model (SLM).

The findings suggest that air quality pollutants have an adverse impact on house prices, which fluctuate across the urban area. The analysis suggests that the noise level does matter, although this varies significantly over the urban setting and varies by source.

Air quality and environmental noise pollution are important concerns for health and well-being. Noise impact seems to depend not only on the noise intensity to which dwellings are exposed but also on the nature of the noise source. This may suggest the presence of other externalities that arouse social aversion. This research presents an original study utilising advanced spatial modelling approaches. The research has value in further understanding the market impact of environmental factors and in providing findings to support local air zone management strategies, noise abatement and management strategies and is of value to the wider urban planning and public health disciplines.

This paper presents a procedure for considering interactions of neighbourhood quality and property specifics within hedonic models of housing price. It handles interactions between geographical factors and the marginal contribution of each property attribute for enhancing values assessment. Making use of simulation procedures, it is combining GIS technology and spatial statistics to define principal components of accessibility and socio‐economic census related to transaction prices of single‐family homes. An application to the housing market of the Quebec Urban Community (more than 3,600 bungalows transacted in 1990 and 1991) illustrates its usefulness for building spatial hedonic models, while controlling for multicollinearity, spatial autocorrelation and heteroskedasticity. Distance‐weighted averages of each property attribute in the neighbourhood and interactions of property attributes with each principal component are used to detect any spatial effect on sale price variations. This first‐stage spatial hedonic model approximates market prices, which are then used in order to compare “expected” and actual property tax amounts, which are added to obtain a second‐stage model incorporating fiscal effects on house values. Interactions between geographical factors and property specifics are computed using formulae avoiding multicollinearity problems, while considering several processes responsible for spatial variability. For each property attribute, they define sub‐models which can be used to map variations, across the city, of its marginal value, assessing the cross‐effect of geographical location (in terms of neighbourhood profiles and accessibility to services) and its own valuation parameters. Moreover, this procedure distinguishes property attributes, exerting a stable contribution to value (constant over the entire region) from those whose implicit price significantly varies over space.

The purpose of this paper is to investigate area-level labour market dynamics from a spatial perspective. This analysis is aimed at better understanding what socio-economic actors are associated with shifts in unemployment rates across a major metropolitan city.

Based on two waves of New Zealand census data, this paper combines a seemingly unrelated regression approach (allowing for relaxation of the assumption that residuals from models of different employment states are unrelated) with a spatial lag model.

The key socio-economic drivers associated with intra-city employment dynamics were vehicle access, dependency rates and educational attainment. Importantly, the identification of spatial autocorrelation with respect to employment status patterns within this major New Zealand city motivates a case for heterogeneous employment policies across the city.

This research improves the understanding of changes in labour market status rates within a city region. This is done by inclusion of two important considerations: a spatial perspective to labour market dynamics at an intra-city level; and formally modelling the interdependence across the four potential labour market outcomes (being full-time, part-time, unemployed or out of the labour force). Overall, there was clear empirical support for the need to include spatial considerations when using targeted policy to help lift areas out of unemployment.

“It should also be noted that the objective of convergence and equal distribution, including across under-performing areas, can hinder efforts to generate growth. Contrariwise, the objective of competitiveness can exacerbate regional and social inequalities, by targeting efforts on zones of excellence where projects achieve greater returns (dynamic major cities, higher levels of general education, the most advanced projects, infrastructures with the heaviest traffic, and so on). If cohesion policy and the Lisbon Strategy come into conflict, it must be borne in mind that the former, for the moment, is founded on a rather more solid legal foundation than the latter” European Commission (2005, p. 9)Adaptation of Cohesion Policy to the Enlarged Europe and the Lisbon and Gothenburg Objectives.

The aim of this paper is to review and synthesize an interdisciplinary literature on ethnic entrepreneurship studies from a spatial perspective. The major goal is to develop an analytical framework for understanding how place plays a role in ethnic entrepreneurship processes at different geographic scales.

The article starts with a review of perspectives on ethnic entrepreneurship from multiple disciplines in social sciences, mainly from a non‐spatial approach. It then critically discusses the spatial inquiries on ethnic entrepreneurship, with a focus on identifying the gaps across disciplines. Based on these discussions, a comprehensive, multilevel spatial framework is finally conceptualized. Following that, the concluding remarks highlight future directions and public policy significance by implementing this suggested social‐spatial approach.

As the central social actors, ethnic entrepreneurs weave through multiscaled geographic contexts in the process of creatively mobilizing and capitalizing entrepreneurial resources in the labor markets. The multiscaled geographic contexts provide a milieu of social, economic, political, cultural, and regulatory factors and forces. The interaction between the social actors and their social‐spatial contexts further influences entrepreneurs’ values of entrepreneurship, perception of entrepreneurial opportunities, practical management strategies, and ultimately their business performances.

This study provides significant policy implications for entrepreneurship related public policies on regional development, economic recovery, and neighborhood revitalization especially when race and ethnicity are concerned.

By identifying gaps of knowledge in ethnic entrepreneurship and incorporating a multidisciplinary literature, this paper extends the discussion of “contextual effects” from spatial dimensions, explicitly brings race and ethnicity to the spatial framework of entrepreneurship.

The paper aims to examine the role of creative industries in general and the film industry in particular for place‐making, spatial development, tourism, and the formation of creative cities.

The article reveals the preliminary findings of two case studies from Beyoglu, Istanbul, and Soho, London.

The research found a relation between place and creativity and the positive contribution to creativity of being in a city center. Among the creative industries, the film industry plays an important role in the economic and spatial development of cities by fostering endogenous creativeness, attracting exogenous talent, and contributing to the formation of places that creative cities require.

The paper raises interesting questions about the importance of place to creativity, also questioning whether creative industries can be a driver for regeneration.

Teaching drawing in architectural education raises questions regarding the representation of spatial experiences: to what extent can sensory experiences of space be intensified through observing and drawing and, perhaps equally important, what those drawings would look like?

In the context of their drawing classes, the authors started to inquire the discrepancy between conceiving and perceiving space, and the aptitude of representing spatial concepts upon a two dimensional surface. Through observation and translating observation into drawings, students discover that conventionalised ways of drawing, such as linear perspective, only reveal part of the story. While linear perspective remains the dominant way of representing space, obviously visible in photography, film, 3D-imaging and architectural impressions, the authors started looking for ways of drawing which inquire possibilities of expressing spatial experiences. Drawing as an activity which is able to enhance spatial understanding, rather than as a tool to communicate virtual spaces. Next to drawing as a ‘skill’, which can be learnt, the drawing classes started to inquire non-visual aspects of space by analysing attributes of spatiality, which are difficult to convey through two dimensional drawings.

Starting from a contextualisation of spatial drawing within architectural practice, the article examines the discrepancy between geometric space and lived space, in order to reveal the dubious role of linear perspective within (architectural) culture and history. After a brief return to how we imagined and represented space in our childhood, the article presents a series of practice based examples. Drawing on the authors’ teaching practice, it illustrates possibilities to expand our visual language by exploring space and spatiality through observing and drawing.

The purpose of this paper is to discern the intra‐regional visitation patterns of wine tourists. Exploratory research was conducted in two branded wine regions, to conceptualise the spatial movement of wine tourists in a theoretical construct.

Information was obtained from a random sample of 214 visitors to 25 wineries in two branded wine regions in South Australia. Data were collected by means of face‐to‐face interviews using a highly structured questionnaire at each of the winery cellar door venues.

A conceptual theory regarding winery visitation sets (VSs) was developed. Discernable spatial visitation patterns to wineries result from the dynamic interaction of visitors’ needs and the incumbent winery profiles that exist in a hierarchy within a wine region. The grouping of sequentially visited wineries in the three‐tier hierarchy form specific VSs of wineries. Winery profiles are initially determined by visitation incidence: the most visited Regional Centre Point (RCP) winery is followed by sequentially less visited regional profile (RP) wineries and a third tier of regional attribute (RA) wineries. Visitation pattern trends are identifiable and differ between first‐time and repeat visitors.

It is possible to detail the market segmentation of wine tourists quite accurately in terms of their psychographics and demographics and favoured visitation patterns within the branded wine region. This will also provide important insights into the balance of winery and cellar door roles in the region and confirm the “optimal” number of wineries required to fulfil the needs of the ever‐increasing numbers of wine tourists.

This paper is of value to academic researchers, wine industry practitioners and travel and accommodation providers alike as it provides the foundation for a conceptual theory to explain the discernable intra‐regional visitation patterns of wine tourists to the cellar doors of wineries.

In Mexico, wine tourism has become a relevant issue in the past 20 years. Research in this region is in a nascent stage and largely focused on the supply side. Nevertheless, consumer behavior research on wine tourists of the region is needed to improve the wine region positioning. Therefore, the purpose of this paper is to find out the predictors for revisit intention (RI) to the Valle de Guadalupe wine route.

The information was obtained by applying an exit poll survey to a sample of 422 wine tourists at the micro, small and medium wineries in Ensenada, Mexico. The spatial-temporal model was used to predict the wine tourist RI. Three dimensions were used: pre-visit, in situ experience and travel to/from. Multiple linear regressions were carried out to assess the relation between the three dimensions and RI.

The results obtained show that the pre-visit and in situ dimensions have an effect on RI to the wine route.

The generalization of the results may be limited due to fact that only the repeated visitors of the autumn season are included; therefore, it is not applicable to summer (high season of wine tourism) and first-time visitors.

The results provide implications for the owners of the micro, small and medium wineries seeking to improve the experience and increasing the tourist RI to the wine route.

The theoretical added value of this paper is its contribution to the body of knowledge about the wine tourism spatial-temporal model, evaluating the complete wine tourism experience to predict RI.