Geoadditive Models for Regional Count Data: An Application to Industrial Location
Davide Castellani
ERSA conference papers,
2012
Abstract
We propose a geoadditive negative binomial model (Geo-NB-GAM) for regional count data which allows us to simultaneously address some important methodological issues, such as spatial clustering, nonlinearities and overdispersion. We apply this model to study location determinants of inward greenfield investments occurred over the 2003-2007 period in 249 European regions. The inclusion of a geoadditive component (a smooth spatial trend surface) permits us to control for spatial unobserved heterogeneity which induces spatial clustering. Allowing for nonlinearities reveals, in line with theoretical predictions, that the positive effect of agglomeration economies fades as the density of economic activities reaches some limit value. However, no matter how dense the economic activity becomes, our results suggest that congestion costs would never overcome positive agglomeration externalities.
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Natural-resource or Market-seeking FDI in Russia? An Empirical Study of Locational Factors Affecting the Regional Distribution of FDI Entries
K. Gonchar, Philipp Marek
HSE Working Papers, Series: Economics, WP BRP 26/EC/2013,
2013
Abstract
This paper analyzes the spatial distribution of foreign direct investment (FDI) across regions in Russia. Our analysis employs data on Russian firms with a foreign investor during the 2000-2009 period and links regional statistics in the conditional logit model. The main findings are threefold. First, we conclude that market-related factors and the availability of natural resources are important factors in attracting FDI. Second, existing agglomeration economies encourage foreign investors. Third, the findings imply that service-oriented FDI co-locates with extraction industries in resource-endowed regions.
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Related Variety, Unrelated Variety and Regional Functions: A spatial panel approach
Matthias Brachert, Alexander Kubis, Mirko Titze
Papers in Evolutionary Economic Geography,
2013
Abstract
The paper presents estimates for the impact of related variety, unrelated variety and the functions a region performs in the production process on regional employment growth in Germany. We argue that regions benefit from the existence of related activities that facilitate economic development. Thereby the sole reliance of the related and unrelated variety concept on standard industrial classifications (SIC) remains debatable. We offer estimations for establishing that conceptual progress can be made when the focus of analysis goes beyond solely considering industries. We develop an industry-function based approach of related and unrelated variety and test our hypothesis by the help of spatial panel approach. Our findings suggest that related variety as same as unrelated variety facilitate regional employment growth in Germany. However, the drivers behind these effects do differ. While the positive effect of related variety is driven by high degrees of relatedness in the regional “R&D” and “White-Collar”-functions, the effects of unrelated variety are spurred by “Blue Collar”-functions in this period.
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Natural-resource or Market-seeking FDI in Russia? An Empirical Study of Locational Factors Affecting the Regional Distribution of FDI Entries
K. Gonchar, Philipp Marek
IWH Discussion Papers,
No. 3,
2013
Abstract
This paper conducts an empirical study of the factors that affect the spatial distribution of foreign direct investment (FDI) across regions in Russia; in particular, this paper is concerned with those regions that are endowed with natural resources and market-related benefits. Our analysis employs data on Russian firms with a foreign investor during the 2000-2009 period and linked regional statistics in the conditional logit model. The main findings are threefold. First, we conclude that one theory alone is not able to explain the geographical pattern of foreign investments in Russia. A combination of determinants is at work; market-related factors and the availability of natural resources are important factors in attracting FDI. The relative importance of natural resources seems to grow over time, despite shocks associated with events such as the Yukos trial. Second, existing agglomeration economies encourage foreign investors by means of forces generated simultaneously by sector-specific and inter-sectoral externalities. Third, the findings imply that service-oriented FDI co-locates with extraction industries in resource-endowed regions. The results are robust when Moscow is excluded and for subsamples including only Greenfield investments or both Greenfield investments and mergers and acquisitions (M&A).
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Local Economic Structure and Sectoral Employment Growth in German Cities
Annette Illy, Michael Schwartz, Christoph Hornych, Martin T. W. Rosenfeld
Tijdschrift voor economische en sociale geografie,
No. 5,
2011
Abstract
This study systematically examines the impact of fundamental elements of urban economic structure on sectoral employment growth in German cities (“urban growth”). We test four elements simultaneously – sectoral specialisation, diversification of economic activities, urban size and the impact of local competition. To account for the effect of varying spatial delimitations in the analysis of urban growth, we further differentiate between cities and planning regions as geographical units. Our regression results show a U-shaped relationship between localisation economies and urban growth and positive effects of local competition on urban growth. With respect to diversification, we find positive effects on urban growth on the city level, but insignificant results on the level of the planning regions. The impact of urban size also differs between free cities and planning regions; in the former, a U-shaped relationship is found, whereas the effect is inversely U-shaped for the latter.
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Identifying Industrial Clusters from a Multidimensional Perspective: Methodical Aspects with an Application to Germany
Matthias Brachert, Mirko Titze, Alexander Kubis
Papers in Regional Science,
No. 2,
2011
Abstract
If regional development agencies assume the cluster concept to be an adequate framework to promote regional growth and competitiveness, it is necessary to identify industrial clusters in a comprehensive manner. Previous studies used a diversity of methods to identify the predominant concentrations of economic activity in one industrial sector in a region. This paper is based on a multidimensional approach developed by Titze et al. With the help of the combination of concentration measures and input–output methods they were able to identify horizontal and vertical dimensions of industrial clusters. This paper aims to refine this approach by using a superior measure of spatial concentration and by integrating information about spatial interdependence of industrial cluster structures to contribute to a more adequate framework for industrial cluster identification.
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Finance and Growth in a Bank-Based Economy: Is It Quantity or Quality that Matters?
Michael Koetter, Michael Wedow
Journal of International Money and Finance,
No. 8,
2010
Abstract
Most finance–growth studies approximate the size of financial systems rather than the quality of intermediation to explain economic growth differentials. Furthermore, the neglect of systematic differences in cross-country studies could drive the result that finance matters. We suggest a measure of bank’s intermediation quality using bank-specific efficiency estimates and focus on the regions of one economy only: Germany. This quality measure has a significantly positive effect on growth. This result is robust to the exclusion of banks operating in multiple regions, controlling for the proximity of financial markets, when distinguishing different banking sectors active in Germany, and when excluding the structurally weaker East from the sample.
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Specialization, Diversity, Competition and their Impact on Local Economic Growth in Germany
Martin T. W. Rosenfeld, Annette Illy, Michael Schwartz, Christoph Hornych
Abstract
This study systematically examines the impact of fundamental elements of urban economic structure on urban growth in Germany from 2003 to 2007. We test four elements simultaneously, that is sectoral specialization, diversification of economic activities, urban size as well as the impact of local competition. To account for the effect of varying spatial delimitations in the analysis of urban growth, we further differentiate between cities and planning regions as geographical units. The analysis covers manufacturing industries as well as service sectors. Most previous work produces inconsistent results and concentrates on localization economies and/or diversification, while urban size and the effect of local competition are widely ignored. Our regression results show a U-shaped relationship between localization economies and urban growth and positive effects of local competition on urban growth. With respect to diversification, we find positive effects on urban growth on the city-level, but insignificant results on the level of the planning regions. The impact of urban size also differs between free cities and planning regions; in the former a U-shaped relationship is found whereas the effect is inversely U-shaped for the latter.
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Spillover Effects of Spatial Growth Poles - a Reconciliation of Conflicting Policy Targets?
Alexander Kubis, Mirko Titze, Joachim Ragnitz
IWH Discussion Papers,
No. 8,
2007
Abstract
Regional economic policy faces the challenge of two competing policy goals - reducing regional economic disparities vs. promoting economic growth. The allocation of public funds has to weigh these goals particularly under the restriction of scarce financial re- sources. If, however, some region turns out to be a regional growth pole with positive spillovers to its disadvantaged periphery, regional policies could be designed to recon- cile the conflicting targets. In this case, peripheral regions could indirectly participate in the economic development of their growing cores. We start our investigation by defining and identifying such growth poles among German regions on the NUTS 3 administrative level based on spatial and sectoral effects. Using cluster analysis, we determine significant characteristics for the general identification of growth poles. Patterns in the sectoral change are identified by means of the change in the employment. Finally, we analyze whether and to what extent these growth poles ex- ert spatial spillover effects on neighbouring regions and thus mitigate contradictory in- terests in regional public policy. For this purpose, we apply a Spatial-Cross-Regressive- Model (SCR-Model) including the change in the secondary sector which allows to con- sider functional economic relations on the administrative level chosen (NUTS 3).
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