A SPATIAL HEDONIC APPROACH ON LAND USE CHANGE ANTICIPATIONS*

ABSTRACT This paper estimates land use conversion anticipation when zoning is the primary tool of land use regulation. Extending the Capozza and Helsey model (1989) to the case of uncertainty in future land use zoning, a spatialized hedonic model is proposed to estimate such anticipation phenomena at a fine level (cadastral unit). Estimations use Mixed Geographically Weighted Regression (MGWR) techniques with a two‐stage model that links agricultural and developable land markets. This allows for mapping varying spatial parameters that measure anticipation effects within the theoretical framework. Results confirm the influence of anticipation on agricultural land prices in the Provence region. Moreover, the level of data spatialization allows us to take into account intra‐municipalities' heterogeneity of land use conversion anticipation.     

SPATIAL HEDONIC MODELS OF AIRPORT NOISE,PROXIMITY, AND HOUSING PRICES*

ABSTRACT Despite the refrain that housing prices are determined by “location, location, and location,” few studies of airport noise and housing prices have incorporated spatial econometric techniques. We compare various spatial econometric models and estimation methods in a hedonic price framework to examine the impact of noise on 2003 housing prices near the Atlanta airport. Spatial effects are best captured by a model including both spatial autocorrelation and autoregressive parameters estimated by a generalized moments approach. In our preferred model, houses located in an area in which noise disrupts normal activities (defined by a day–night sound level of 70–75 decibels) sell for 20.8 percent less than houses located where noise does not disrupt normal activities (defined by a day–night sound level below 65 decibels). The inclusion of spatial effects magnifies the negative price impacts of airport noise. Finally, after controlling for noise, houses farther from the airport sell for less; the price elasticity with respect to distance is −0.15, implying that airport proximity is an amenity.     

SPATIAL HEDONICS AND THE WILLINGNESS TO PAY FOR RESIDENTIAL AMENITIES*

ABSTRACT We investigate the role of spatial multipliers when using spatial‐lag hedonic models to measure the benefits of residential amenity improvements. Such benefits are commonly measured using the product of the coefficient of the amenity in question and a spatial multiplier. We show this is correct only when the spatial spillovers transmitted through the multiplier are strictly technological. If they are instead strictly pecuniary, then benefits are fully measured using the coefficient with no spatial multiplier. In either case, or in intermediate cases where both types of spillovers exist, a spatial‐lag specification is required to obtain valid benefits measures.     

2. CONSTRUCTIONS OF “HOME,”“FRONT,” AND WOMEN'S MILITARY EMPLOYMENT IN FIRST‐WORLD‐WAR BRITAIN: A SPATIAL INTERPRETATION

In First‐World‐War Britain, women's ambition to perform noncombatant duties for the military faced considerable public opposition. Nevertheless, by late 1916 up to 10,000 members of the female volunteer corps were working for the army, laying the foundation for some 90,000 auxiliaries of the official Women's Services, who filled support positions in the armed forces in the second half of the war. This essay focuses on the public debate in which the volunteers overcame their critics to understand how they obtained sufficient popular consent for their martial work. I explain the process in terms of shifting hegemonic understandings of space. As critics' arguments in the debate indicate, the gender attribution of war participation was organized and represented spatially, assigning men to the warlike “front” as warriors and women to the peaceful “home” as civilians. To redefine the meaning of these gendered wartime spaces, women volunteers deployed rival spatial discourses and practices in their campaign for martial employment. The essay explores the progress of these competing definitions through feminist and spatial theories, including gender performativity, discursively constructed and constructive spaces, and heterotopias. I argue that the upheaval caused by the war in gender and spatial norms undermined absolute conceptualizations of space with dichotomous binary areas on which critics drew for their arguments and reinforced more recent, relative spatialities, including the cultural construction of militarized heterotopic sites in between and paralleling both “home” and “front” for soldiers in training or recovery. The volunteers' efforts to gain access to military employment both contributed to and were supported by this shift. Heterotopic sites offered ideal discursive locations for constructing the new gender role of auxiliary soldiering through the performance of martial training and work, and competing spatial definitions provided arguments through which they could justify their activities to both critics and supporters.     

ENGINEERING SPATIAL FIXES: RELATIONAL SPATIAL PRACTICES,STRATEGIC‐TOPOLOGICAL APPROACH AND THE CONSTRUCTION OF A FINNISH SCIENCE‐TECHNOLOGY DISTRICT

It can be argued that the relational approach, and especially the so‐called relational economic geography, would benefit from deeper engagement with the practical and strategic dimensions of spatial relations. The article proposes a notion of engineering spatial fix as a way to conceptualize these dimensions. The idea is to widen the conceptual sphere of relationality from spontaneous ties or abstract networked power effects towards relational spatial practices. Theoretically, the article aims to bridge the strategic‐relational and the network‐topological approaches through a stylized meso‐level practice‐oriented approach. It is suggested that in economic geography, relations can be grasped through two basic perspectives: relations as analytical lenses and relations as spatial practices. The article proposes that the relational spatial practices can be divided into two dimensions: topological and strategic. The article presents a case study of a science‐technology district of Turku in 1985–2001, which fleshes out the theoretical elaborations. In the process, the relational concept of synergy is utilized as a context‐specific strategic resource as the district evolves from an initial separate building to a distinct and materialized geographical structure.     

BAYESIAN MODEL AVERAGING IN THE CONTEXT OF SPATIAL HEDONIC PRICING: AN APPLICATION TO FARMLAND VALUES

ABSTRACT Specification uncertainty arises in spatial hedonic pricing models because economic theory provides no guide in choosing the spatial weighting matrix and explanatory variables. Our objective in this paper is to investigate whether we can resolve uncertainty in the application of a spatial hedonic pricing model. We employ Bayesian Model Averaging in combination with Markov Chain, Monte Carlo Model Composition. The proposed methodology provides inclusion probabilities for explanatory variables and weighting matrices. These probabilities provide a clear indication of which explanatory variables and weighting matrices are most relevant, but they are case specific.     

Re‐Politicising the Analysis of “New State Spaces” in Hungary and Beyond: Towards an Effective Engagement with “Actually Existing Neoliberalism”

Abstract: Recent scholarship grounded in strategic‐relational state theory has offered a compelling approach to state spatial restructuring under neoliberal capitalism. By drawing on Hungary's post‐1990 state spatial reforms, this paper discusses a major limitation of state theoretical frameworks. In particular, the paper seeks to challenge state theorists’ generally subtle but persistent bias to capitalist economic structures, and argues that the above bias impedes an adequate and effectively critical account of state spatial regulation. Finally, it makes a case for a perspective on new state spaces that acknowledges the wider socio‐historical embeddedness of state space production, as well as its inherently political nature.     

SPATIAL HETEROGENEITY IN KNOWLEDGE,INNOVATION, AND ECONOMIC GROWTH NEXUS: CONCEPTUAL REFLECTIONS AND EMPIRICAL EVIDENCE

By drawing on the Schumpeterian distinction between invention (i.e., new ideas and knowledge creation) and commercialization of new ideas (i.e., innovation), this paper shows that knowledge and innovation are both important drivers of economic growth, but have heterogeneous spatial impacts. In particular, the growth benefits accruing from knowledge seem rather selective and concentrated across space whereas the growth benefits generated by innovation seem more diffusive, and regions innovating in the absence of a strong local knowledge base can be as successful as more knowledge‐intensive regions in turning innovation into a higher growth rate, possibly by exploiting local informal knowledge and/or knowledge spillovers. These results are of great importance for the design of research and innovation policies within the frame of the Europe 2020 strategy.     

“We will not perish; we’re going to keep flourishing”: Race,Food Access,and Geographies of Self‐Reliance

Drawing from 18 months of ethnographic fieldwork in Washington, DC, this article outlines geographies of self‐reliance; a theoretical framework for understanding black food geographies that are embedded in histories of self‐reliance as a response to structural inequalities. Using a community garden as a case study, I argue that the garden functions as a site for addressing several manifestations of structural violence: racist and classist depictions of low‐income and working class people, joblessness, gentrification, and youth underdevelopment. Drawing on self‐reliance ideologies as well as collective and personal histories, the residents exhibit a form of agency that demonstrates unwavering hope in the sustainability of their shared community. Through this analysis, I show that self‐reliance functions as a mechanism through which residents navigate spatial inequalities.     

SPATIAL ECONOMETRIC MODELING OF ORIGIN‐DESTINATION FLOWS*

ABSTRACT Standard spatial autoregressive models rely on spatial weight structures constructed to model dependence among n regions. Ways of parsimoniously modeling the connectivity among the sample of N=n² origin‐destination (OD) pairs that arise in a closed system of interregional flows has remained a stumbling block. We overcome this problem by proposing spatial weight structures that model dependence among the N OD pairs in a fashion consistent with standard spatial autoregressive models. This results in a family of spatial OD models introduced here that represent an extension of the spatial regression models described in Anselin (1988) .     

1. AT HOME AND IN THE WORKPLACE: A HISTORICAL INTRODUCTION TO THE “SPATIAL TURN”

This introduction places the forum contributions in the wider context of the “spatial turn” within the humanities and social sciences. Following a survey of the historical trajectories of the field, a review of impulses from different disciplines, and a sketch of general developments over the last few decades, the editors exemplify key approaches, methods, and conceptual advances with reference to gender studies. The focus then turns to the structure, main themes, and specific contents of this collection, which features both case studies and theoretical reflections. In conclusion, the essay underlines the significance and further potential of the “spatial turn.”     

URBAN UNEMPLOYMENT AND THE SPATIAL STRUCTURE OF LABOR MARKETS: AN EXAMINATION OF THE “TODARO PARADOX” IN A SPATIAL CONTEXT*

ABSTRACT The Todaro paradox and the effects of job creation in urban areas will be re-examined in our spatial model in which the radius of the labor market is endogenously determined by the rational choices of workers. The travel cost of workers plays a crucial role in the choice between two different types of response, migration or commuting. By considering travel costs, we find that the Todaro paradox can be applied to developed, as well as developing, countries. Job creation in urban areas can produce a paradoxical increase in urban unemployment in developed countries, because the low marginal cost of travel will significantly increase the radius of the urban labor market and create new labor supply without migration.     

A NEW SPATIAL MULTIPLE DISCRETE‐CONTINUOUS MODELING APPROACH TO LAND USE CHANGE ANALYSIS

This paper formulates a multiple discrete‐continuous probit (MDCP) land use model within a spatially explicit economic structural framework for land use change decisions. The spatial MDCP model is capable of predicting both the type and intensity of urban development patterns over large geographic areas, while also explicitly acknowledging geographic proximity‐based spatial dependencies in these patterns. At a methodological level, the paper focuses on specifying and estimating a spatial MDCP model that allows the dependent variable to exist in multiple discrete states with an intensity associated with each discrete state. The formulation also accommodates spatial dependencies, as well as spatial heterogeneity and heteroskedasticity, in the dependent variable, and should be applicable in a wide variety of fields where social and spatial dependencies between decision agents (or observation units) lead to spillover effects in multiple discrete‐continuous choices (or states). A simulation exercise is undertaken to evaluate the ability of the proposed maximum approximate composite marginal likelihood (MACML) approach to recover parameters from a cross‐sectional spatial MDCP model. The results show that the MACML approach does well in recovering parameters. An empirical demonstration of the approach is undertaken using the city of Austin parcel level land use data.     

Sites of Social Centrality and Segregation: Lefebvre in Belfast,a “Divided City”

Abstract: This paper applies Henri Lefebvre's ideas on participatory democracy and spatial politics to the context of “divided cities”, a milieu often overlooked by scholars of Lefebvre. It considers, via Lefebvre, how the heterogeneous and contradictory statist methods to deal with ethno‐national violence in Belfast have in effect increased segregated space. State‐led approaches to public space as part of conflict transformation strategies appear contradictory, including attempts to “normalize” the city through inward capital investment and cultural regeneration, encouraging cosmopolitan notions of inclusive “civic identity”, and reinforcing segregation to contain violence. These processes have done little to challenge sectarianism. However, as Lefebvre suggests that dominant representations of space cannot be imposed without resistance, this paper considers the alternative strategies of a disparate range of groups in Belfast. These groups have formed cross‐cleavage networks to develop ritualized street performances which challenge the programming of public space for segregation.     

INTERPRETING SPATIAL ECONOMETRIC ORIGIN‐DESTINATION FLOW MODELS

Spatial interaction or gravity models have been used to model flows that take many forms, for example population migration, commodity flows, traffic flows, all of which reflect movements between origin and destination regions. We focus on how to interpret estimates from spatial autoregressive extensions to the conventional regression‐based gravity models that relax the assumption of independence between flows. These models proposed by LeSage and Pace ( 2008 , 2009 ) define spatial dependence involving flows between regions. We show how to calculate partial derivative expressions for these models that can be used to quantify these various types of effect that arise from changes in the characteristics/explanatory variables of the model.     

A SPATIAL CLIFF‐ORD‐TYPE MODEL WITH HETEROSKEDASTIC INNOVATIONS: SMALL AND LARGE SAMPLE RESULTS*

ABSTRACT In this paper, we specify a linear Cliff‐and‐Ord‐type spatial model. The model allows for spatial lags in the dependent variable, the exogenous variables, and disturbances. The innovations in the disturbance process are assumed to be heteroskedastic with an unknown form. We formulate multistep GMM/IV‐type estimation procedures for the parameters of the model. We also give the limiting distributions for our suggested estimators and consistent estimators for their asymptotic variance‐covariance matrices. We conduct a Monte Carlo study to show that the derived large‐sample distribution provides a good approximation to the actual small‐sample distribution of our estimators.     

MEASURING THE IMPACT OF SEA‐LEVEL RISE ON COASTAL REAL ESTATE: A HEDONIC PROPERTY MODEL APPROACH*

ABSTRACT This study estimates the impact of sea‐level rise on coastal real estate in North Carolina using a unique integration of geospatial and hedonic property data. With rates of sea‐level rise approximately double the global average, North Carolina has one of the most vulnerable coastlines in the United States. A range of modest sea‐level rise scenarios based on the IPCC Fourth Assessment Report projections (2007) are considered for four counties of North Carolina—New Hanover, Dare, Carteret, and Bertie—which represent a cross‐section of the state's coastline in geographical distribution and economic development. High‐resolution topographic LIDAR (light detection and ranging) data are used to provide accurate inundation maps for the properties that will be at risk under six different sea‐level rise scenarios. A simulation approach based on spatial hedonic models is used to provide consistent estimates of the property value losses. Considering just four coastal counties in North Carolina, the value of residential property loss without discounting in 2030 (2080) is estimated to be about $179 ($526) million for the mid‐range sea‐level rise scenarios. Low‐lying and heavily developed areas in the northern coastline are comparatively more vulnerable to the effect of sea‐level rise than the other areas.     

Deracinated Dispossessions: On the Foreclosures of “Gentrification” in Oakland,CA

This paper challenges dominant geographies of urban theory by conceptualising the dynamics of displacement in Oakland through place‐specific histories of racial/spatial politics. It argues that the repeated transposition of a San Francisco‐based model of “tech gentrification” results in deracinated dispossessions, or accounts of displacement uprooted from grounded histories of racial violence and resistance. It also argues that, while urban scholars acknowledge the role of historical difference in contouring dispossessions in metropolitan versus postcolonial cities, this consideration should be broadened to account for the racial/colonial dimensions of urbanism in the US as well. Treating Oakland as a “crossroads of theory”, this paper joins calls for a deeper engagement between postcolonial urban studies and critical race and ethnic studies from North America. Drawing upon the authors’ activist and empirical work, it contends that “thinking from Oakland” demands a foregrounding of racial capitalism, policing, and refusal.