Institutions and geography: Empirical test of spatial growth models for European regions

Arbia, Giuseppe; Battisti, Michèle; Vaio, Gianfranco Di

doi:10.1016/j.econmod.2009.07.004

Cited by 91 publications

(67 citation statements)

References 71 publications

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“…Evidence of club convergence in the 'old' EU member states has been obtained widely (see, inter alia, Canova, 2004;Corrado et al, 2005;Fischer and Stirbock, 2006;Dall'erba et al, 2008), while more recent contributions highlight the role of spatial processes (proximity, concentration), both for club-formation (spatial heterogeneity) and for the overall speed of convergence (see, for example, Lopez-Bazo et al, 2004;Ertur et al, 2006;Egger and Pfaffermayr, 2006;Arbia et al, 2008;Rey and Le Gallo, 2009;Arbia et al, 2010 -see also the discussion in Fingleton and Lopez-Bazo, 2006). The importance of spatial processes has been also analysed in empirical studies employing the Verdoorn Law equation.…”

Section: Regional Growth In Cee and The Wider National-development Comentioning

confidence: 99%

Regional Growth and National Development: Transition in Central and Eastern Europe and the Regional Kuznets Curve in the East and the West

Monastiriotis¹

2014

Spatial Economic Analysis

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Regional disparities in Central and Eastern Europe rose substantially after 1990. Still, prima facie evidence of beta-convergence is often found in the CEE data. To reconcile this apparent paradox, we sketch out and test empirically a hybrid model of regional growth that draws on the regional Kuznets curve and incorporates aspects of cumulative causation and neoclassical convergence. In both CEE and the 'old' EU15, regional convergence is strongly linked to the level of national development, non-linearly. But while in the EU15 convergence speeds-up at intermediate/high levels of development, in CEE we find divergence at intermediate levels of national development and no significant return to convergence thereafter. Although this may show that overall development levels are not sufficient yet to mobilise regional convergence, it is also possible that nonconvergence is attributable to centripetal forces instigated by the process of transition.

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Section: Regional Growth In Cee and The Wider National-development Comentioning

confidence: 99%

Regional Growth and National Development: Transition in Central and Eastern Europe and the Regional Kuznets Curve in the East and the West

Monastiriotis¹

2014

Spatial Economic Analysis

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“…A critical assumption here is that changes in one country's human rights performance may be correlated with performance in other countries, where the degree of correlation depends on the distance between the two countries. Such an assumption is common in spatial econometrics (see Arbia et al, 2010).…”

Section: Modelling Strategymentioning

confidence: 99%

Economic Geography and Human Rights

Edwards

Landman

Kernohan³

et al. 2014

SSRN Journal

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This paper investigates the geo-political and international economic aspects of human rights performance using a pooled cross-section time-series data set. We start with simple descriptive accounts of the recent geographic history of human rights performance. We then test for basic economic effects of income and then apply tools from the spatial economics literature to examine the degree to which clusters of relative human rights performance exist. Using spatial weighting models we analyse the spatial impact of proximity and human rights performance of neghbours on overall levels of human rights performance. Unlike previous studies, our approach treats this spatial impact as partly endogenous: one country's human rights performance may affect its neighbours through a variety of potential geographical spillover mechanisms. The spatial weighting models take into account size and distance of neighbours in order to compare each country's human rights performance with what would be predicted by regression on a weighted average of its neighbours' performance. The findings sugest that there are (a) geographical clusters of human rights performance and (b) size and proximity effects for human rights performance, both of which have significant implications for the promotion and protection of human rights.

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“…(Friege et al, 2002) selected that particular distance parameter, by which the autocorrelation carried by the filtered variable was decreased to the minimum on the basis of the Moran's index. (Arbia et al, 2010) also relied on the beneficial features of Moran's I. They also regarded the distance with minimum significant Moran indicator appropriate; according to their theoretical considerations, this value is the threshold of the spatial spillover.…”

Section: Local Testsmentioning

confidence: 99%

Spatial Statistical Analysis of the Traffic Accidents

Sipos

2017

Period. Polytech. Transp. Eng.

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Institutions and geography: Empirical test of spatial growth models for European regions

Cited by 91 publications

References 71 publications

Regional Growth and National Development: Transition in Central and Eastern Europe and the Regional Kuznets Curve in the East and the West

Regional Growth and National Development: Transition in Central and Eastern Europe and the Regional Kuznets Curve in the East and the West

Economic Geography and Human Rights

Spatial Statistical Analysis of the Traffic Accidents

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