Editorial

Abstract

In this paper we summarize and comment on the papers published in issue 6.3. The papers reviewed are: ‘In Search of “W”’ by Richard Harris, John Moffat &; Victoria Kravtsova; ‘Cross-national Neighbouring Effects on European Regional Specialization’ by Toni Mora, Patricia Garcia-Duran &; Montserrat Millet; ‘Intra-national Purchasing Power Parity and Balassa–Samuelson Effects in Italy’ by Andrea Vaona; ‘Enterprise and Competitive Advantage in the Australian Context: A Spatial Econometric Perspective’ by Paul Plummer &; Michael Taylor; and ‘Development of a Large-scale Single US Region CGE Model using IMPLAN Data: A Los Angeles County Example with a Productivity Shock Application’ by James Andrew Giesecke.

Analyses économiques spatiales: éditorial

Résumé dans la présente communication, nous résumons les communications publiées dans le numéro 6.3, et nous présentons nos commentaires. Les communications en question sont les suivantes : « A la recherche de W » (In Search of W) par Richard Harris, John Moffat et Victoria Kravtsova ; « Effets du voisinage transfrontière sur la spécialisation régionale européenne » (Cross-national neighbouring effects on European regional specialisation) par Toni Mora, Patricia Garcia-Duran et Montserrat Millet ; « Parité du pouvoir d'achat intranational et effets de Balassa-Samuelson en Italie (Intra-national Purchasing Power Parity and Balassa-Samuelson Effects in Italy), par Andrea Vaona ; « Entreprise et Avantage sur la Concurrence dans le contexte de l'Australie : une Perspective économétrique spatiale » (Enterprise and Competitive Advantage in the Australian Context: A Spatial Econometric Perspective) par Paul Plummer et Michael Taylor ; et « Développement d'un modèle CGE à grande échelle pour une région individuelle des États-Unis à l'aide de données IMPLAN : un exemple du comté de Los Angeles avec une application choc de la Productivité » (Development of a large-scale single U.S. region CGE model using IMPLAN data: A Los Angeles County example with a productivity shock application), par James Andrew Giesecke.

Análisis económico espacial: editorial

Extracto En este estudio resumimos y hacemos comentarios sobre estudios publicados en la edición 6.3. Los estudios revisados son: ‘In Search of ‘W’’ (En busca de ‘W’) de Richard Harris, John Moffat y Victoria Kravtsova; ‘Cross-national neighbouring effects on European regional specialisation’ (Efectos de la contigüidad transnacional sobre la especialización regional europea) de Toni Mora, Patricia García-Duran y Montserrat Millet; ‘Intra-national Purchasing Power Parity and Balassa-Samuelson Effects in Italy’ (Paridad del poder adquisitivo intranacional y los efectos Balassa-Samuelson en Italia) de Andrea Vaona; ‘Enterprise and Competitive Advantage in the Australian Context: A Spatial Econometric Perspective’ (Empresa y ventaja competitiva en el contexto australiano: una perspectiva econométrica espacial) de Paul Plummer y Michael Taylor; y, ‘Development of a large-scale single U.S. region CGE model using IMPLAN data: A Los Angeles County example with a productivity shock application’ (Desarrollo de un modelo CGE a gran escala de una región estadounidense única utilizando datos IMPLAN: un ejemplo de Los Angeles County con una aplicación de choque de productividad) de James Andrew Giesecke.

     

Applied Spatial Econometrics: Raising the Bar

Abstract

This paper places the key issues and implications of the new ‘introductory’ book on spatial econometrics by James LeSage & Kelley Pace (2009) in a broader perspective: the argument in favour of the spatial Durbin model, the use of indirect effects as a more valid basis for testing whether spatial spillovers are significant, the use of Bayesian posterior model probabilities to determine which spatial weights matrix best describes the data, and the book's contribution to the literature on spatio-temporal models. The main conclusion is that the state of the art of applied spatial econometrics has taken a step change with the publication of this book.

Relever le niveau de l'économetrie spatial appliquée

RÉSUMÉ La présente communication place les principales questions et implications du nouvel ouvrage d'introduction sur l'économétries spatiale de James LeSage & Kelley Pace (2009) dans un contexte plus général: l'argument favorisant le modèle spatial de Durbin, l'emploi d'effets indirects comme base plus valable pour évaluer l'aspect significatif des déversements spatiaux, l'emploi des probabilités d'un modèle baysien postérieur pour évaluer laquelle des matrices de poids spatiaux décrit le mieux les donnes, et la contribution de l'ouvrage la documentation sur les modèles spatio-temporels. La principale conclusion est qu'avec la publication de cet ouvrage, l'état de l'art de l'économétries spatiale applique a effectué un grand pas en avant.

Alzar el nivel de la econometría espacial aplicada

RÉSUMÉ Este trabajo plantea las cuestiones e implicaciones clave del nuevo libro introductorio sobre económetra espacial de James LeSage & Kelley Pace (2009) dentro de una perspectiva más amplia: el argumento a favor del modelo espacial Durbin, el uso de efectos indirectos como una base más válida para poner a prueba si los desbordamientos espaciales son significativos, el uso de probabilidades posteriores bayesianas para descubrir que matriz de pesos espaciales describe mejor los datos, y la contribución del libro a la bibliógrafa sobre modelos espaciotemporales. La principal conclusión es que la econometría espacial aplicada más avanzada ha experimentado un cambio radical con la publicación de este libro.

     

Interregional Inequality Dynamics in Mexico

Abstract

This paper examines 60 years of regional income inequality dynamics across the states of Mexico. Drawing on recent developments in exploratory spatial data analysis (ESDA) we examine the role of spatial clustering and heterogeneity in the evolution of regional inequality. We pay particular attention to the choice of the regionalization scheme that has been applied in previous work and we suggest a number of new approaches to evaluate the sensitivity of inferential conclusions to this choice. We also investigate if temporal shifts in equality are reflected in the NAFTA era.

Dynamique de l'inégalité interrégionale au Mexique

Résumé la présente communication se penche sur la dynamique des inégalités régionales entre les revenus pendant 60 ans dans les états du Mexique. Sur la base de développements récents dans les analyses exploratoires des données spatiales (ESDA), nous examinons le rôle du groupage et de l'hétérogénéité spatiaux dans l’évolution des inégalités régionales, en nous penchant tout particulièrement sur le choix du plan de régionalisation appliqué à des travaux précédents, et en proposant un certain nombre de méthodes nouvelles pour évaluer la sensibilité de conclusions déductives sur ce choix. En outre, nous tentons d’établir si des changements temporels dans les inégalités sont reflétés dans l’ère de NAFTA.

Dinámica de la desigualdad interregional en Méjico

Extracto Este trabajo examina 60 años en la dinámica de la desigualdad regional de ingresos a través de los estados de Méjico. Haciendo uso de desarrollos recientes en el análisis exploratorio de datos espaciales (ESDA) examinamos la función del agrupamiento espacial y la heterogeneidad en la evolución de la desigualad regional. Prestamos particular atención a la elección del esquema de regionalización que se ha aplicado en trabajo anterior y sugerimos varios planteamientos nuevos para evaluar la sensibilidad de conclusiones inferenciales de esta elección. También investigamos si los cambios temporales en igualdad se reflejan en la era NAFTA (Tratado de Libre Comercio de América del Norte).

     

Practical Proposals for Specifying k-Nearest Neighbours Weights Matrices

Abstract

In this article, we introduce and evaluate testing procedures for specifying the number k of nearest neighbours in the weights matrix of a spatial econometric model. An increasing and a decreasing neighbours testing procedure are suggested. Kelejian's J-test for non-nested spatial models is used in the testing procedures. The testing procedures give formal justification for the choice of k, something which has been lacking in the classical spatial econometric literature. Simulations show that the testing procedures can be used in large samples to determine k. An empirical example involving house price data is provided.     

Fixed Effects and Random Effects Estimation of Higher-order Spatial Autoregressive Models with Spatial Autoregressive and Heteroscedastic Disturbances

Abstract

This paper develops a unified framework for fixed effects (FE) and random effects (RE) estimation of higher-order spatial autoregressive panel data models with spatial autoregressive disturbances and heteroscedasticity of unknown form in the idiosyncratic error component. We derive the moment conditions and optimal weighting matrix without distributional assumptions for a generalized moments (GM) estimation procedure of the spatial autoregressive parameters of the disturbance process and define both an RE and an FE spatial generalized two-stage least squares estimator for the regression parameters of the model. We prove consistency of the proposed estimators and derive their joint asymptotic distribution, which is robust to heteroscedasticity of unknown form in the idiosyncratic error component. Finally, we derive a robust Hausman test of the spatial random against the spatial FE model.     

Traffic density,congestion externalities,and urbanization in China

ABSTRACT

Although there is an abundant regional literature analyzing traffic congestion, only a few studies have explored extending such analysis with spatial effects. This study uses a dynamic spatial Durbin model and city-level panel data for the period 2003–14 to investigate the spatial spillover effects of traffic congestion on urbanization in China. The results show that there is an inverted ‘U’-shaped relationship between urbanization and traffic density in local and neighbouring cities, and congestion effects have appeared. In the short and long run, the spatial effects of traffic congestion have become an important force restricting the effective promotion of urbanization in China.     

中国畜牧业高质量发展水平的空间差异与动态演进

目的 推动畜牧业高质量发展是稳秩序、保民生的现实需要,科学设计评价体系和开展测度分析是实现畜牧业高质量发展的内在要求。方法 文章依据畜牧业高质量发展内涵特征,构建涵盖绿色循环发展、供给提质增效、经营管理优化3个维度的中国畜牧业高质量发展水平评价体系,对2010—2019年全国及31省（市、自治区,不含港澳台）畜牧业高质量发展水平进行测度分析。结果 （1）2010—2019年全国畜牧业高质量发展水平提升19.20%,时间上具有向好发展态势,空间上呈现自西向东发展水平依次提高的格局;（2）全国发展水平具有空间非均衡性特征,总体发展差距持续扩大、东部地区内差距扩大态势明显、东部与西部两地区间差距最大,地区内差距是畜牧业高质量发展水平地区差距的主要来源;（3）全国畜牧业高质量发展单极化趋向逐步凸显,从长期看三大区域均存在发展差距扩大的倾向,但呈现中东部趋向多极化、西部趋向单极化的变化态势。结论 发展畜牧业应当坚持生产规模与资源环境相匹配,因地制宜构建适应高质量发展方向的生态生产型体系,积极发挥好东、中、西部地区在技术、资金、资源等生产要素方面的优势,探索种养结合、草牧一体的现代畜牧业。     

Do monetary subjective well-being evaluations vary across space? Comparing continuous and discrete spatial heterogeneity

Using subjective well-being estimations, this study analyzes whether compensating variations vary across space using a cross-sectional data set from Chile. To achieve this goal, it describes and compares two econometric ways of modelling unobserved spatial heterogeneity. Both approaches allow compensating variations to vary across spatial units by assuming some distribution a priori. One method assumes that the spatial heterogeneity can be represented by a discrete distribution (a group of regions that share the same coefficient) and the other that the preferences can be represented by a continuous distribution (each region has a different coefficient). The results show that focusing just on the average estimates of compensating variations, as the applied studies have done so far, masks useful local variation. More empirical studies are needed to assess the advantages and disadvantages of both econometric approaches and how their results compare across a wide range of conditions and samples.     

Price competition in the spatial real estate market: allies or rivals?

This paper examines whether real estate firms can avoid price competition when properties in the vicinity are priced by allies. An oligopoly model with differentiated products generally suggests that real estate firms engage in price competition with their spatially closest rivals. Yet, they can raise property prices when the market share of their allies increases. To test this prediction, a spatial autoregressive model with spatial autoregressive disturbances, including a share of allies in the vicinity, is estimated using data on the prices of residential condos in central Tokyo, Japan. The model prediction is supported by the empirical results. In the data set, the magnitude of the market share on property prices increases with the expansion of the size of the spatial market.