Anecdotal evidence suggests the existence of specific choke points in the global trade network revealed especially after natural disasters (e.g. hard drive components and Thailand flooding, Japanese auto components post-Fukushima, etc.). Using a highly disaggregated international trade database we assess the spillover effects of supply shocks from the import of specific goods. Our goal is to identify inherent vulnerabilities arising from the composition of a country’s import basket and to propose effective mitigation policies. First, using network analysis tools we develop a methodology for evaluating and ranking the supply fragility of individual traded goods. Next, we create a country-level measure to determine each country’s supply shock vulnerability based on the composition of their individual import baskets. This measure evaluates the potential negative supply shock spillovers from the import of each good.
International migration is an important channel of material improvement for individuals and their offspring. The movement of people across country borders, especially from less developed to richer countries, has a substantial impact in several dimensions. First, it affects the migrants themselves by allowing them to achieve higher income as a result of their higher productivity in the destination country. It also increases the expected income for their offspring. Second, it affects the destination country through the impact on labor markets, productivity, innovation, demographic structure, fiscal balance, and criminality. Third, it can have a significant impact on the countries of origin. It may lead to loss of human capital, but it also creates a flow of remittances and increases international connections in the form of trade, FDI, and technological transfers. This paper surveys our understanding of how migration affects growth and inequality through the impact on migrants themselves as well as on the destination and origin countries.
Anecdotal evidence suggests the existence of specific choke points in the global trade network revealed especially after natural disasters (e.g. hard drive components and Thailand flooding, Japanese auto components post-Fukushima, etc.). Using a highly disaggregated international trade database we assess the spillover effects of supply shocks from the import of specific goods. Our goal is to identify inherent vulnerabilities arising from the composition of a country’s import basket and to propose effective mitigation policies. First, using network analysis tools we develop a methodology for evaluating and ranking the supply fragility of individual traded goods. Next, we create a country-level measure to determine each country’s supply shock vulnerability based on the composition of their individual import baskets. This measure evaluates the potential negative supply shock spillovers from the import of each good.
After trailing Euro Area inflation closely in the recent past, inflation in the Western Balkans has accelerated faster since early 2022 on the back of the shocks to global commodity prices, strong recovery from the pandemic, and lingering supply bottlenecks. This paper employs two complementary empirical approaches of an augmented Phillips curve and structural VAR, adapting them to the data availability and country specificities of the Western Balkans, to analyze the inflation dynamics in the region. It finds that international food prices affect not only headline but also core inflation as well as inflation expectations. Further, inflation in the Western Balkans is not just determined by foreign shocks, and domestic factors, aggregate demand shocks in particular, have a significant impact on inflation. These findings imply a possible role for policies to temporarily limit an immediate and complete pass-through of international to domestic food prices while also stressing the importance of an appropriate domestic macroeconomic policy mix to keep inflation expectations anchored and safeguard credibility in the face of high inflation persistence.
This paper assesses whether cross-border M&A decisions exhibit network effects. We estimate exponential random graph models (ERGM) and temporal exponential random graph models (TERGM) to evaluate the determinants of cross-country M&A investments at the sectoral level. The results show that transitivity matters: a country is more likely to invest in a new destination if one of its existing partners has already made some investments there. In line with the literature on export platforms and informational barriers, we find a sizable impact of third country effects on the creation of new investments. This effect is sizable and larger than some of the more traditional M&A determinants, such as trade openness.
Geoeconomic fragmentation (GEF) is becoming entrenched worldwide, and the European Union (EU) is not immune to its effects. This paper takes stock of GEF policies impinging on—and adopted by—the EU and considers how exposed the EU is through trade, financial and technological channels. Motivated by current policies adopted by other countries, the paper then simulates how various measures—raising costs of trade and technology transfer and fossil fuel prices, and imposition of sectoral subsidies—would affect the EU economy. Due to its high-degree of openness, the EU is found to be exposed to GEF through multiple channels, with simulated losses that differ significantly across scenarios. From a welfare perspective, this suggests the need for a cautious approach to GEF policies. The EU’s best defence against GEF is to strengthen the Single Market while advocating for a multilateral rules-based trading system.
This paper assesses whether cross-border M&A decisions exhibit network effects. We estimate exponential random graph models (ERGM) and temporal exponential random graph models (TERGM) to evaluate the determinants of cross-country M&A investments at the sectoral level. The results show that transitivity matters: a country is more likely to invest in a new destination if one of its existing partners has already made some investments there. In line with the literature on export platforms and informational barriers, we find a sizable impact of third country effects on the creation of new investments. This effect is sizable and larger than some of the more traditional M&A determinants, such as trade openness.
After trailing Euro Area inflation closely in the recent past, inflation in the Western Balkans has accelerated faster since early 2022 on the back of the shocks to global commodity prices, strong recovery from the pandemic, and lingering supply bottlenecks. This paper employs two complementary empirical approaches of an augmented Phillips curve and structural VAR, adapting them to the data availability and country specificities of the Western Balkans, to analyze the inflation dynamics in the region. It finds that international food prices affect not only headline but also core inflation as well as inflation expectations. Further, inflation in the Western Balkans is not just determined by foreign shocks, and domestic factors, aggregate demand shocks in particular, have a significant impact on inflation. These findings imply a possible role for policies to temporarily limit an immediate and complete pass-through of international to domestic food prices while also stressing the importance of an appropriate domestic macroeconomic policy mix to keep inflation expectations anchored and safeguard credibility in the face of high inflation persistence.
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