TESTING THE SPATIAL SCALE AND THE DYNAMIC STRUCTURE IN REGIONAL MODELS (A CONTRIBUTION TO SPATIAL ECONOMETRIC SPECIFICATION ANALYSIS)*

This article addresses the problem of specification uncertainty in modeling spatial economic theories in stochastic form. It is ascertained that the traditional approach to spatial econometric modeling does not adequately deal with the type and extent of specification uncertainty commonly encountered in spatial economic analyses. Two alternative spatial econometric modeling procedures proposed in the literature are reviewed and shown to be suitable for analyzing systematically two sources of specification uncertainty, viz., the level of aggregation and the spatio-temporal dynamic structure in multiregional econometric models. The usefulness of one of these specification procedures is illustrated by the construction of a simple multiregional model for The Netherlands.     

A Comparison of Spatially Varying Regression Coefficient Estimates Using Geographically Weighted and Spatial‐Filter‐Based Techniques

Geographically weighted regression (GWR) is a technique that explores spatial nonstationarity in data‐generating processes by allowing regression coefficients to vary spatially. It is a widely applied technique across domains because it is intuitive and conforms to the well‐understood framework of regression. An alternative method to GWR that has been suggested is spatial filtering, which it has been argued provides a superior alternative to GWR by producing spatially varying regression coefficients that are not correlated with each other and which display less spatial autocorrelation. It is, therefore, worthwhile to examine these claims by comparing the output from both methods. We do this by using simulated data that represent two sets of spatially varying processes and examining how well both techniques replicate the known local parameter values. The article finds no support that spatial filtering produces local parameter estimates with superior properties. The results indicate that the original spatial filtering specification is prone to overfitting and is generally inferior to GWR, while an alternative specification that minimizes the mean square error (MSE) of coefficient estimates produces results that are similar to GWR. However, since we generally do not know the true coefficients, the MSE minimizing specification is impractical for applied research.     

OPTIMAL REGIONAL GROWTH MODELS: MULTIPLE OBJECTIVES, SINGULAR CONTROLS, AND SUFFICIENCY CONDITIONS

ABSTRACT We develop a generalized Harrod-Domar type of model for optimal regional growth which allows determination of the optimal allocation of regional public investments and which considers multiple growth objectives, as well as both normal and singular fiscal instruments. This general model is shown to include most of the previous optimal regional growth models as special cases. Necessary conditions for some special cases of the general model are analyzed in detail, and decision rules associated with derived optimal regional growth policies are articulated. These special cases verify that singular controls do exist in certain instances, and that they must be considered for the complete specification of optimal regional growth policies; this is significant because singular controls have not been previously analyzed in the literature. We conclude the paper with a discussion of sufficiency conditions for optimal regional growth models which is more general than that given by previous authors.     

Developing a Landscape History as Part of a Survey Strategy: A Critique of Current Settlement System Approaches based on Case Studies from Western New South Wales,Australia

In Australia, geomorphological change since the late nineteenth century ensures surface artifact visibility but the contribution of full coverage regional survey to an understanding of past landscape use is limited by the lack of easily datable artifacts. Here, we describe a multi-stage survey strategy based around intensive archaeological, geomorphological and chronological studies as an alternative to traditional site-based approaches. We view the formation of the archaeological record as a sedimentary process and use a geomorphological approach to understand the history of landscape use from surface artifact scatters. We pay particular attention to recording datasets with reference to the timescales over which they have accumulated, and we discuss the types of behavioral inferences that can be drawn from the results of intensive survey, illustrated using the results from our western New South Wales research.     

Empirical Evaluation of Alternative Model Specifications to Predict Commuting Flows

This study is devoted to empirical and modeling aspects on how characteristics of spatial structure influence commuting flows. Within a doubly-constrained framework, results from a competing-destinations formulation are evaluated and compared to results from the traditional gravity model. The evaluation depends critically upon the specification of within-zone journeys-to-work. Specific labor-market characteristics are found to be significant to explain how workers are absorbed in diagonal elements of the trip-distribution matrix. We also find that the parametric specification of the accessibility measure is important, and that the competing-destinations formulation is superior to the traditional gravity model.     

THE FULL-DISTRIBUTION APPROACH TO AGGREGATE REPRESENTATION IN THE INPUT-OUTPUT MODELING FRAMEWORK*

ABSTRACT. This paper presents a probabilistic specification of coefficients in the input- output modeling framework. Although previous works on probabilistic input-output models attribute uncertainty to measurement and sampling errors, this specification derives from systematic variation directly attributable to industrial, institutional, and location factors. Experiments with national input-output data support the existence of such variation. Employing the specification not only yields a more flexible aggregate modeling framework capable of producing interval impact estimates, but also an alternative perspective on such issues as interregional differentiation and structural comparison, the identification of key industrial sectors, aggregation, and spatial variation in production.     

AMENITIES VERSUS LABOR MARKET OPPORTUNITIES: CHOOSING THE OPTIMAL DISTANCE TO MOVE*

ABSTRACT. A recent debate in the regional economics literature has focused attention on the motivation behind an individual's decision to migrate. Human-capital migration models emphasize labor market disequilibria whereas alternative (hedonic) migration models stress households’altered demand for nontraded goods. In this paper, we test the relative importance of these two possible motivations for moving between metropolitan areas. We use an intercity hedonic model to decompose wages into equilibrium and disequilibrium components. We then compare the separate influences of amenities and the disequilibrium component of wages on the distance moved between two metropolitan areas. Our findings indicate that both economic factors and amenity differentials are significant factors in explaining regional migration.     

Rural-Urban Migration and Control Theory

In a largely expository style, a typical rural-urban migration problem where urban unemployment is a central issue is modelled as a problem in optimal control. Some of the shortcomings of the Todaro specification of the expectations phenomenon in rural-urban migration are discussed and an alternative specification is presented. The resulting optimal control model is solved in two alternative ways. First, Pontryagin's maximum principle, in spite of all its limitations, is used to generate some of the qualitative properties of the model, and some standard results are formalized. Secondly, a simple differential equation approach is employed to depict some essential qualitative features of the optimal control problem. Finally, some of the limitations of the optimal control model are discussed.     

' Mais le vieillard est grand ': Positive ageing in the modern roman du terroir

This article examines the portrayal and treatment of ageing in the contemporary French 'regional novel'. A contextualisation of three best-selling authors precedes an account of selected works. An initial consideration of their use of positive traditional stereotypes linked to old age leads to an examination of alternative valorising images, which stress transmissible life skills and the unquantifiable benefits of bonds between the elderly and the young. The article suggests that it is specifically the emphasis on the satisfaction and fulfilment each protagonist finds almost uniquely in his/her seventh or eighth decade that is significant in and characteristic of these novels.     

The Regional Allocation of Public Investment: Efficiency or Equity?

In this paper we examine the effect of public investment on the regional economies of Japan. The efficient policy for regional allocation of public capital is to invest in highly productive regions, whereas the actual policy pursues equity goals by allocating more public investment to depressed regions. We determine the effects of this equity- oriented allocation by estimating the aggregate regional production function and calculating the productivity of public capital stock for each region, using a cross-sectional time-series data set. Our results show that the marginal productivity of public capital has recently declined in most depressed regions, whereas the productivity in developed regions (e.g., Tokyo, Osaka) has increased slightly. We compare alternative policies of allocating public investment and their effects on the regional and national economies using numerical simulations. We then quantitatively describe the trade-off between the efficient and the equitable allocation of public investment.     

GENDERED SPACES ON TRIAL: THE INFLUENCE OF REGIONAL GENDER CONTRACTS ON IN‐MIGRATION OF WOMEN TO RURAL NORWAY

While the Nordic literature on rural migration and gender relations has usually focused on the push effects of a patriarchal or traditional gender culture on out‐migration of women, this article centres on the conjoint way in which regional gender contracts and female in‐migration shape one another. On the basis of survey data of women who migrated into Valdres, a rural area in Norway, as well as interview material, three ideal types of rural gender contracts are identified: traditional, modern and alternative. It is further demonstrated that women living by a traditional gender contract are more often attracted to Valdres than women living by modern and alternative gender contracts, and seemingly also tend to stay for a longer period of time. With the help of Halfacree's model of rural space, it is argued that the in‐migration of women serves just as much to sustain the region's traditional gender contract as to challenge it.     

RECESSIONARY SHOCKS AND REGIONAL EMPLOYMENT: EVIDENCE ON THE RESILIENCE OF U.K. REGIONS*

ABSTRACT We analyze the resilience of U.K. regions to employment shocks. Two basic notions of resilience are distinguished. With engineering resilience, there is an underlying stable growth path to which a regional economy rebounds following a shock. With ecological resilience, shocks can permanently affect the growth path of the regional economy. Our data set consists of quarterly employment series for 12 U.K. regions (NUTS I) for the period 1971–2010. Using a seemingly unrelated regression (SUR) model specification, we test for the relevance of (engineering) resilience of U.K. regional employment to the four recessionary shocks in our sample. It turns out that U.K. regions do indeed differ in their resilience, but that these differences mainly concern the initial resistance to these shocks and not so much the recovery stage. The SUR model does not allow shocks to have permanent effects and it also does not take the possibility of time differentiated shock spillovers between the 12 regions into account. To this end, we also estimate a vector error‐correction model (VECM) specification where employment shocks can have permanent effects and where also interregional employment linkages are included. We find that employment shocks typically have permanent effects when it concerns the own‐region effects. Permanent effects can also be found for the impact on other regions but the interregional effects are typically only significant for nearby regions.     

PUBLIC CAPITAL, REGIONAL OUTPUT, AND DEVELOPMENT: SOME EMPIRICAL EVIDENCE

ABSTRACT The goal of our paper is to provide direct estimates of the association between public capital and regional output. This is made possible by the construction of a data series which measures public capital at the state level.
The relation between public capital and other productive factors is tested using a translog production function. Our results show that labor and public capital are complementary inputs, and that public capital exhibited diminishing returns. We also consider restrictions on the translog formulation. Linear homogeneity is rejected in all cases, and the Cobb-Douglas specification is rejected for the manufacturing and all sectors categories.     

Assessing Spatial Dependence in Count Data: Winsorized and Spatial Filter Specification Alternatives to the Auto-Poisson Model

The auto-Poisson probability model furnishes an obvious tool for modeling counts of geographically distributed rare events. Unfortunately, its original specification can accommodate only negative spatial autocorrelation, which itself is a rare event. More recent alternative reformulations, namely, the Winsorized and spatial filter specifications, circumvent this drawback. A comparison of their performances presented in this article reveals some of their relative advantages and disadvantages.     

Model Uncertainty in Matrix Exponential Spatial Growth Regression Models

This article considers the most important aspects of model uncertainty for spatial regression models, namely, the appropriate spatial weight matrix to be employed and the appropriate explanatory variables. We focus on the spatial Durbin model (SDM) specification in this study that nests most models used in the regional growth literature, and develop a simple Bayesian model‐averaging approach that provides a unified and formal treatment of these aspects of model uncertainty for SDM growth models. The approach expands on previous work by reducing the computational costs through the use of Bayesian information criterion model weights and a matrix exponential specification of the SDM model. The spatial Durbin matrix exponential model has theoretical and computational advantages over the spatial autoregressive specification due to the ease of inversion, differentiation, and integration of the matrix exponential. In particular, the matrix exponential has a simple matrix determinant that vanishes for the case of a spatial weight matrix with a trace of zero. This allows for a larger domain of spatial growth regression models to be analyzed with this approach, including models based on different classes of spatial weight matrices. The working of the approach is illustrated for the case of 32 potential determinants and three classes of spatial weight matrices (contiguity‐based, k‐nearest neighbor, and distance‐based spatial weight matrices), using a data set of income per capita growth for 273 European regions.     

TECHNOLOGICAL CATCH‐UP AND GEOGRAPHIC PROXIMITY*

ABSTRACT This paper examines productivity catch‐up as a source of establishment productivity growth. We present evidence that, other things equal, establishments further behind the industry frontier experience faster rates of productivity growth. Geographic proximity to frontier firms makes catch‐up faster. Our econometric specification implies a long‐run relationship between productivity levels, where nonfrontier establishments lie a steady‐state distance behind the frontier such that their rate of productivity growth including catch‐up equals productivity growth at the frontier. We use our econometric estimates to quantify the implied contribution to productivity growth of catch‐up to both the national and regional productivity frontiers.     

WAGES,RENTS, UNEMPLOYMENT,AND THE QUALITY OF LIFE: A CONSISTENT THEORY‐BASED MEASURE

Combining a spatial equilibrium model with a search‐matching unemployment model, this paper analyzes the willingness to pay for regional amenities and the regional quality of life when wages, rents, and unemployment risk compensate for local amenities and disamenities. The results are compared with those obtained from the Rosen‐Roback approach. We demonstrate that the traditional approach gives too much weight to the wage differential if search frictions are significant. Furthermore, the paper confirms that the wage curve is negatively sloped for quasi‐linear utility. Specifically, the wage rate increases and the unemployment rate decreases in response to an increase in the amenity level if the amenity is marginally more beneficial to producers than to consumers.     

Geography by Rail®: a new twist on a romantic concept

Based on William Morris Davis’ great Transcontinental Excursion of 1912, this article assesses and reviews the Geography by Rail® program (GbR) – a unique, short-term, field-based study abroad experience that takes an uncommon-in-the-US approach to international exploration and fieldwork, incorporating on-the-ground, regional geography-based learning experiences. Though it could be used as such, this is not intended as a “how-to” article, but instead, an examination of how the program’s alternative approach to short-term, field-based learning increases student engagement, enlivens the discipline of geography by championing the regional geography approach, and bridges the physical-human divide in geography. Examples are given of assessment techniques, relevant skills gained by student participants, student feedback received, and potential limitations of such a program. Our main goal rests in demonstrating that by being in the landscape, practicing in it, students often gain a perspective not achievable in the traditional classroom setting. In the regional and romantic geography sense, favoring breadth of learning over depth, we further argue that GbR represents a novel way to accomplish this important-yet-not-often-fostered and, oddly and unfortunately, difficult-to-find-in-geography concept.     

THE SLX MODEL

We provide a comprehensive overview of the strengths and weaknesses of different spatial econometric model specifications in terms of spillover effects. Based on this overview, we advocate taking the SLX model as point of departure in case a well‐founded theory indicating which model is most appropriate is lacking. In contrast to other spatial econometric models, the SLX model also allows for the spatial weights matrix W to be parameterized and the application of standard econometric techniques to test for endogenous explanatory variables. This starkly contrasts commonly used spatial econometric specification strategies and is a complement to the critique of spatial econometrics raised in a special theme issue of the Journal of Regional Science (Volume 52, Issue 2). To illustrate the pitfalls of the standard spatial econometrics approach and the benefits of our proposed alternative approach in an empirical setting, the Baltagi and Li (2004) cigarette demand model is estimated.     

Critical queer regionality and LGBTQ politics in Europe

This article examines what a critical focus on the region can contribute to the study of LGBTQ politics in Europe. It is argued that a regional lens can challenge methodological nationalism in existing studies of European LGBTQ politics. It can also contribute towards a broader examination of the politics of scale in relation to the Europeanisation of LGBTQ politics. The article discusses alternative theoretical approaches to the region and examines the queer affinities of these approaches in turn. The argument proceeds to consider the political effects of these alternative theoretical framings of the region in contemporary LGBTQ politics in Europe. It is suggested that a regional critical lens can foreground sub-national and transnational regional political formations, which otherwise may be overlooked in an uncritical focus on the national scale of LGBTQ politics. A regional perspective can also help unsettle Anglo-American framings of sexual politics.