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Showing papers by "Martijn Burger published in 2013"


Journal ArticleDOI
TL;DR: In this article, the authors developed an indicator to measure revealed competition between territories for investments based on the overlap of investment portfolios of regions, and identified competitive market segments, derive the competitive threat a region faces from other regions, the competitive threats regions pose to other regions and the most important market segments in which regions compete.
Abstract: In the modern economy, cities are assumed to be in fierce competition over attracting foreign investments in leading sectors of the world economy. Despite the rich theoretical discourse on these 'wars', it remains unclear which territories are competing with each other over which types of investments Combining insights from international economics, international business, and urban systems literature, we develop an indicator to measure revealed competition between territories for investments based on the overlap of investment portfolios of regions. Taking competition for greenfield investments between European regions as a test subject, we identify competitive market segments, derive the competitive threat a region faces from other regions, the competitive threat regions pose to other regions, and the most important market segments in which regions compete. We show that European regions with similar locational endowments pose a fiercer competitive thre at to one another. In addition, regions that are sufficiently large and distinctive, face the smallest average competitive threat from all other regions.

67 citations


Posted Content
01 Dec 2013
TL;DR: Four different models that have been used in economic geography to explain the spatial context of network structures and their dynamics are discussed and the quadratic assignment procedure that has been developed in mathematical sociology for diminishing the bias induced by network dependencies is discussed.
Abstract: The importance of network structures for the transmission of knowledge and the diffusion of technological change has been emphasized in economic geography. Since network structures drive the innovative and economic performance of actors in regional contexts, it is crucial to explain how networks form and evolve over time and how they facilitate inter-organizational learning and knowledge transfer. The analysis of relational dependent variables, however, requires specific statistical procedures. In this paper, we discuss four different models that have been used in economic geography to explain the spatial context of network structures and their dynamics. First, we review gravity models and their recent extensions and modifications to deal with the specific characteristics of networked relations. Second, we discuss the quadratic assignment procedure that has been developed in mathematical sociology for diminishing the bias induced by network dependencies. Third, we present exponential random graph models that not only allow dependence between observations, but also model such network dependencies explicitly. Finally, we deal with dynamic networks, by introducing stochastic actor oriented models. Strengths and weaknesses of the different approaches are discussed together with domains of applicability for the analysis of (knowledge) network structures and their dynamics.

21 citations


Posted Content
TL;DR: In this article, an analysis of greenfield investment flows into countries in the Middle East and North Africa from 2003 to 2012 shows that adverse political shocks are associated with significantly reduced investment inflows in the non-resource tradable sectors.
Abstract: Which foreign direct investments are most affected by political instability? Analysis of quarterly greenfield investment flows into countries in the Middle East and North Africa from 2003 to 2012 shows that adverse political shocks are associated with significantly reduced investment inflows in the non-resource tradable sectors. By contrast, investments in natural resource sectors and non-tradable activities appear insensitive to such shocks. Consistent with these patterns, the significant reduction in investment inflows in Arab Spring affected economies was starkest in the non-resource manufacturing sector. Political instability is thus associated with increased reliance on non-tradables and aggravated resource dependence. Conversely, how intensified political instability affects aggregate foreign direct investment is critically contingent on the initial sector composition of these flows.

8 citations


Book ChapterDOI
01 Jan 2013
TL;DR: In this paper, the authors introduce an indicator to estimate the degree of revealed competition between cities based on patterns of inter-firm relations between these cities, and find that urban competition is more the rule than the much-anticipated urban complementarities, as urban functional influences of the Randstad cities spatially overlap.
Abstract: In the modern economy, cities are assumed to be in fierce competition. In contrast with this, regional and national Dutch policymakers advocate the Randstad region as a single urban region in which economic complementarities are supposed to be numerous. Using insights from urban systems theory and urban ecology, we introduce an indicator to estimate the degree of revealed competition between cities based on patterns of inter-firm relations between these cities. Results indicate that urban competition is more the rule than the much-anticipated urban complementarities, as urban functional influences of the Randstad cities spatially overlap.

6 citations


Posted Content
TL;DR: In this paper, the authors discuss four different models that have been used in economic geography to explain the spatial context of network structures and their dynamics, including gravity models, exponential random graph models, and stochastic actor oriented models.
Abstract: The importance of network structures for the transmission of knowledge and the diffusion of technological change has been emphasized in economic geography. Since network structures drive the innovative and economic performance of actors in regional contexts, it is crucial to explain how networks form and evolve over time and how they facilitate inter-organizational learning and knowledge transfer. The analysis of relational dependent variables, however, requires specific statistical procedures. In this paper, we discuss four different models that have been used in economic geography to explain the spatial context of network structures and their dynamics. First, we review gravity models and their recent extensions and modifications to deal with the specific characteristics of networked relations. Second, we discuss the quadratic assignment procedure that has been developed in mathematical sociology for diminishing the bias induced by network dependencies. Third, we present exponential random graph models that not only allow dependence between observations, but also model such network dependencies explicitly. Finally, we deal with dynamic networks, by introducing stochastic actor oriented models. Strengths and weaknesses of the different approaches are discussed together with domains of applicability for the analysis of (knowledge) network structures and their dynamics.

5 citations


Posted Content
TL;DR: In this article, an analysis of greenfield investment flows into countries in the Middle East and North Africa from 2003 to 2012 shows that adverse political shocks are associated with significantly reduced investment inflows in the non-resource tradable sectors.
Abstract: Which foreign direct investments are most affected by political instability? Analysis of quarterly greenfield investment flows into countries in the Middle East and North Africa from 2003 to 2012 shows that adverse political shocks are associated with significantly reduced investment inflows in the non-resource tradable sectors. By contrast, investments in natural resource sectors and non-tradable activities appear insensitive to such shocks. Consistent with these patterns, the significant reduction in investment inflows in Arab Spring affected economies was starkest in the non-resource manufacturing sector. Political instability is thus associated with increased reliance on non-tradables and aggravated resource dependence. Conversely, how intensified political instability affects aggregate foreign direct investment is critically contingent on the initial sector composition of these flows.

3 citations


01 Oct 2013
TL;DR: In this paper, the authors argue that political turbulence since the early 2000s has affected not only the level of FDI in MENA, but also its composition, which has skewed towards activities that create the least jobs or that create jobs in non-resource tradable manufacturing and services needed for export upgrading and diversification.
Abstract: The political and social upheavals that followed the Arab Spring of 2011 continue to dominate economic activity and near term prospects in the Middle East and North Africa (MENA). Prior to the Arab Spring, aggregate investment and foreign direct investment (FDI) flows to MENA followed the rest of the world. This report shows that political turbulence since the early 2000s has affected not only the level of FDI in MENA, but also its composition. It has skewed towards activities that create the least jobs or that create jobs in non-resource tradable manufacturing and services needed for export upgrading and diversification. By hurting these efficiency-seeking investments, shocks to political stability exacerbate the clustering of FDI in the extractive industries and non-resource tradable sectors. The findings of the report outline several policy challenges and priorities. The report argues that MENA countries may find themselves in a resource trap unless they strengthen institutions and improve the investment climate, especially political and macroeconomic stability. Protecting the rule of law and property rights, and committing to stable and transparent policies will encourage investment, especially foreign investment in the labor-intensive non-oil manufacturing and service sectors of MENA, and thus job creation, growth, and structural transformation. Structural reforms address privileged businesses, macroeconomic imbalances, expensive subsidies, inadequate provision of infrastructure services, problems with education, and poorly functioning labor markets. These structural issues constrain growth with grim consequences for the unemployment problem, especially among youth and women. Achieving a consensus on political reforms is a necessary pre-requisite for sustainable, high growth in developing MENA.

3 citations


Posted Content
01 Nov 2013
TL;DR: In 2013, economic growth is expected to remain weak or weaken relative to 2012 across MENA and average 2.8 percent, down from the estimated 5.6 percent in 2012 as mentioned in this paper.
Abstract: The political and social upheavals that followed the Arab Spring of 2011 continue to dominate economic activity and near term prospects in the Middle East and North Africa (MENA). Although political transitions bring promises of greater political and economic freedom, in MENA the process remains far from complete and has been accompanied by increased political and macroeconomic instability in 2013. In Egypt, rising social and political tensions weighed heavily on confidence. In Syria, a marked escalation of the civil war exacted a heavy economic and human toll, with spillovers to neighboring Lebanon, Jordan, and Iraq. Oil production in developing MENA oil exporters has fallen because of security setbacks, infrastructure problems, strikes, and in the case of Iran, economic sanctions. The outlook for 2013-and more so for 2014, is uncertain and subject to a variety of risks, mostly domestic in nature and linked to political instability, while global economic conditions have become more favorable. In 2013, economic growth is expected to remain weak or weaken relative to 2012 across MENA and average 2.8 percent, down from the estimated 5.6 percent in 2012. Growth has been most volatile in the MENA's developing oil exporting countries, and is projected to slow down considerably due to unfavorable developments, especially in Libya, Iran, and Syria. Some aspects of instability, including the quality and stability of government institutions and policies, did play a role, but others, such as democratic accountability, did not. Furthermore, Foreign Trade Investment (FDI) flows to the resource intensive and non-tradable sectors appear immune to political instability, but FDI flows to the tradable sectors exhibit a clear negative response.

1 citations