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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Cooperation Events, Ego-Network Characteristics and Firm Innovativeness – Empirical Evidence from the German Laser Industry
Muhamed Kudic, Katja Guhr
IWH Discussion Papers,
No. 6,
2013
Abstract
We study how firm innovativeness is related to individual cooperation events and the structure and dynamics of firms’ ego-networks employing a unique panel dataset for the full population of 233 German laser source manufactures between 1990 and 2010. Firm innovativeness is measured by yearly patent applications as well as patent grants with a two year time-lag. Network measures are calculated on the basis of 570 knowledge-related publicly funded R&D alliances. Estimation results from a panel data count model with fixed effects are suggestive of direct innovation effects due to individual cooperation events, but only as long as structural ego-network characteristics are neglected. Innovativeness is robustly related to ego-network size and ego-network brokerage whereas ego-network density reveals some surprising results.
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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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Human Capital Mobility and Regional Convergence
Lutz Schneider, Alexander Kubis
Regional Studies,
2012
Abstract
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Human Capital Mobility and Convergence – A Spatial Dynamic Panel Model of the German Regions
Alexander Kubis, Lutz Schneider
Abstract
Since the fall of the iron curtain in 1989, the migration deficit of the Eastern part of Germany has accumulated to 1.8 million people, which is over ten percent of its initial population. Depending on their human capital endowment, these migrants might either – in the case of low-skilled migration – accelerate or – in high-skilled case – impede convergence. Due to the availability of detailed data on regional human capital, migration and productivity growth, we are able to test how geographic mobility affects convergence via the human capital selectivity of migration. With regard to the endogeneity of the migration flows and human capital, we apply a dynamic panel data model within the framework of β-convergence and account for spatial dependence. The regressions indicate a positive, robust, but modest effect of a migration surplus on regional productivity growth. After controlling for human capital, the effect of migration decreases; this decrease indicates that skill selectivity is one way that migration impacts growth.
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Human Capital Mobility and Convergence. A Spatial Dynamic Panel Model of the German Regions
Alexander Kubis, Lutz Schneider
Abstract
Since the fall of the iron curtain in 1989, the migration deficit of the Eastern part of Germany has accumulated to 1.8 million people, which is over 10 percent of its ini-tial population. Depending on their human capital endowment, these migrants might either – in the case of low-skilled migration – accelerate or – in high-skilled case– impede convergence. Due to the availability of detailed data on regional human capital, migration and productivity growth, we are able to test how geographic mobil-ity affects convergence via the human capital selectivity of migration. With regard to the endogeneity of the migration flows and human capital, we apply a dynamic panel data model within the framework of β-convergence and account for spatial depend-ence. The regressions indicate a positive, robust, but modest effect of a migration surplus on regional productivity growth. After controlling for human capital, the effect of migration decreases; this decrease indicates that skill selectivity is one way that migration impacts growth.
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Technological Intensity of Government Demand and Innovation
Viktor Slavtchev, Simon Wiederhold
Abstract
Governments purchase everything from airplanes to zucchini. This paper investigates whether the technological intensity of government demand affects corporate R&D activities. In a quality-ladder model of endogenous growth, we show that an increase in the share of government purchases in high-tech industries increases the rewards for innovation, and stimulates private-sector R&D at the aggregate level. We test this prediction using administrative data on federal procurement performed in US states. Both panel fixed effects and instrumental variable estimations provide results in line with the model. Our findings bring public procurement within the realm of the innovation policy debate.
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What Drives Banking Sector Fragility in the Eurozone? Evidence from Stock Market Data
Stefan Eichler, Karol Sobanski
Journal of Common Market Studies,
No. 4,
2012
Abstract
This article explores the determinants of banking sector fragility in the eurozone. For this purpose, a stock-market-based banking sector fragility indicator is calculated for eight member countries from 1999 to 2009 using the Merton model (1974). Using a panel framework, it is found that the macroeconomic environment, the structure of the banking sector and the intensity of banking regulation all have an effect on banking sector fragility in the eurozone.
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Protect and Survive? Did Capital Controls Help Shield Emerging Markets from the Crisis?
Makram El-Shagi
Economics Bulletin,
No. 1,
2012
Abstract
Using a new dataset on capital market regulation, we analyze whether capital controls helped protect emerging markets from the real economic consequences of the 2009 financial and economic crisis. The impact of the crisis is measured by the 2009 forecast error of a panel state space model, which analyzes the business cycle dynamics of 63 middle-income countries. We find that neither capital controls in general nor controls that were specifically targeted to derivatives (that played a crucial role during the crisis) helped shield economies. However, banking regulation that limits the exposure of banks to global risks has been highly successful.
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