Population growth in European cities: Weather matters – but only nationally

Cheshire, Paul; Magrini, Stefano

doi:10.1080/00343400500449259

Cited by 166 publications

(146 citation statements)

References 20 publications

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“…As such, any migration model which attempts to account for Italian interregional mobility patterns in general will be mis-specified because the underlying processes of these two simultaneously-operating migration systems are very different. Moreover, our results also differ markedly from those of Cheshire & Magrini (2006) in that our observations suggest that natural amenity-driven migration in Italy only operates within the same region, not at the level of the country as a whole. As far as we are aware, this is the first time that the different types of simultaneously-operating short distance and long distance interregional migration flows have been decomposed and analysed for a country in this particular way, and it will be instructive to identify whether the patterns uncovered in Italy are also reflected in other countries.…”

Section: Discussioncontrasting

confidence: 57%

“…The vast majority of evidence from Europe suggests that interregional migration is primarily driven by a disequilibrium mechanism in which, allowing for life-cycle effects (Fielding, 1993), migration is mainly a response, albeit slow, to spatial differences in economic factors such as wages and employment opportunities (Faggian & McCann, 2009a). Natural amenities, such as climate, do not affect migration to the extent found in the US (Cheshire & Magrini, 2006). Ferguson et al (2007) reach similar conclusions for Canada.…”

Section: Introductionsupporting

confidence: 58%

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Long and Short Distance Migration in Italy: The Role of Economic, Social and Environmental Characteristics

Biagi

Faggian

McCann

2011

Spatial Economic Analysis

154

136

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This paper analyses Italian interregional migration flows. The approach taken is to decompose labour mobility flows into short distance and long distance migration and to model the effects of economic variables, social capital and quality of life variables, and amenity variables, on the mobility behaviour of individuals. We estimate these different types of migration flows using a negative binomial model, augmented with instruments to control for potential endogeneity issues. Our findings demonstrate that long distance migration reflects a disequilibrium model of migration whereas short distance migration largely reflects an equilibrium model of migration. As such, attempts to model interregional migration in general will be mis-specified as the simultaneously-operating underlying mobility systems are quite different in nature.Migration éloignée et rapprochée en Italie : rôle de facteurs économiques, sociaux et environnementaux RÉ SUMÉ La présente communication analyse les flux migratoires interrégionaux en Italie. Le principe adopté consiste à décomposer les flux de mobilité de la main-d'oeuvre en migrations rapprochée et migration éloignée, puis de modéliser les effets de variables économiques, de variables propres au capital social et à la qualité de vie, et de variables sur le plan de l'agrément sur le comportement de la mobilité des particuliers. Nous effectuons une estimation de ces différents types de flux migratoires en utilisant un modèle binomial négatif, renforcé par des instruments pour le contrôle de questions d'endogénéité potentielles. Nos conclusions démontrent que la migration éloignée reflète un modèle de déséquilibre de la migration, alors que la migration rapprochée reflète en grand partie un modèle déséquilibre de la migration. De cette façon, toutes tentatives de modélisation de migrations interrégionales seront spécifiées de façon erronée, du fait de la nature différente des systèmes de mobilité sous-jacents agissant simultanément. Spatial Economic Analysis, Vol. 6, No. 1, March 2011La migración de larga y corta distancia en Italia: el papel de las características económicas, sociales y ambientales RESUMEN En este trabajo se analizan los flujos migratorios interregionales de Italia. El método adoptado es la descomposición de los flujos de movilidad laboral en migración de corta y migración de larga distancia, y modelar los efectos de las variables económicas, las variables de capital social y de calidad de vida, y las variables de bienestar, con base en el comportamiento de la movilidad de los individuos. Estimamos estos tipos de flujos migratorios diferentes a través de un modelo binomial negativo, ampliado con instrumentos que permiten controlar los posibles problemas de endogeneidad. Nuestras conclusiones demuestran que la migración de larga distancia refleja un modelo desequilibrado de migración, mientras que la migración de corta distancia refleja en gran medida un modelo equilibrado de migración. Como tal, los intentos para modelar la migración interregional, en términos gen...

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Section: Discussioncontrasting

confidence: 57%

Section: Introductionsupporting

confidence: 58%

Long and Short Distance Migration in Italy: The Role of Economic, Social and Environmental Characteristics

Biagi

Faggian

McCann

2011

Spatial Economic Analysis

154

136

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“…For whatever reason, in an earlier paper (Cheshire and Magrini, 2006) we showed that while population movement across the EU of 12 between 1980 and 2000 did significantly respond to generalised differences in economic advantage (as reflected, for example, in the systematic spatial effects of European integration or regional inheritances of old resource-based industries), and also responded to climatic differences, the evidence was inconsistent with full spatial equilibrium. The response of population movement to economic factors was sluggish; net migration rates between comparably sized regions in the USA are fifteen times greater than in Europe (Cheshire and Magrini, 2006). Perhaps more telling, population movement responded strongly to climatic differences but only to climatic differences within countries.…”

mentioning

confidence: 84%

“…Both processes are worth investigating but understanding one illuminates the other. The finding reported in Cheshire and Magrini (2006) that full spatial equilibrium is not a reasonable assumption in the context of European spatial development therefore focuses additional interest in understanding better what factors drive urban economic growth differentials -the subject of this paper.…”

Section: Issues and Approachmentioning

confidence: 99%

Urban growth drivers in a Europe of sticky people and implicit boundaries

Cheshire¹,

Magrini²

2008

Journal of Economic Geography

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“…Findings with respect to amenities are clear. Area measures of population and migration as well as household location decisions are significantly related to climate (Mueser and Graves 1995, Clark and Murphy 1996, Hunt and Mueller 2004, Cheshire and Magrini 2006, Rappaport 2007, Poston et al 2009, Eichman et al 2010), air quality (Seig et al 2004, Bayer et al 2008, recreational opportunities (Duffy-Deno 1998, Lewis et al 2002), cultural amenities (Clark and Hunter 1992), and crime rates (Gottlieb and Joseph 2006). Housing prices and wages are endogenous to area-level migration (Mueser and Graves 1995), and so these variables are typically excluded from analyses with aggregate data.…”

Section: Introductionmentioning

confidence: 99%

Housing prices and inter-urban migration

Plantinga

Détang-Dessendre

Hunt

et al. 2013

Regional Science and Urban Economics

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Understanding the causes and consequences of human migration has long been of interest to urban and regional economists. Empirical studies build on the theoretical results of Roback (1982) and Mueser and Graves (1995) by estimating the effects of wages, housing prices, and amenities on inter-area migration. Findings with respect to amenities are clear (e.g., Rappaport 2007), and household-level studies consistently find that relative wages or incomes increase the probability that a household will select a given location (e.g., Berger and Blomquist 1992). In contrast, the results for housing prices are inconclusive. Studies that include area-level measures (e.g., median housing price for a metropolitan area) find a mix of negative, positive, and insignificant effects on inter-area migration decisions (e.g., Hunt and Mueller 2004). Many migration studies exclude housing price measures. Terms of use: Documents inThe purpose of this paper is to investigate the role of housing prices in influencing inter-urban household migration decisions. An important contribution of the study is the development of a new method for representing housing prices in migration analyses. Following the approach commonly used to model wages in studies of household migration, we identify the form of the utility function for which individual-specific housing prices can be predicted for unselected areas as a function of individual characteristics. Our theoretical results guide the development of an empirical measure of housing costs that accounts for the decision to own or rent and the cost of holding housing capital.We test our housing cost measure using the 2000 PUMS to identify point-to-point migration decisions for a large sample of college-educated males residing in 291 U.S. metropolitan areas. We estimate conditional logit models of metropolitan area choice, controlling for wages, a large range of amenities, and expected housing costs. Our key finding is that our proposed housing cost measure yields the expected results (higher housing prices reduce the probability that an area is selected), which is robust to alternative specifications and samples. We re-estimate our model using three alternative metropolitan area measures of housing costs: median house price, average apartment rent, and average urban land rent. We find that these measures consistently yield counterintuitive results. 3 Housing Prices and Inter-urban Migration

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Population growth in European cities: Weather matters – but only nationally

Cited by 166 publications

References 20 publications

Long and Short Distance Migration in Italy: The Role of Economic, Social and Environmental Characteristics

Long and Short Distance Migration in Italy: The Role of Economic, Social and Environmental Characteristics

Urban growth drivers in a Europe of sticky people and implicit boundaries

Housing prices and inter-urban migration

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