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This chapter provides a theory model of trade finance to explain the “great trade collapse.” The model shows that, first, the riskiness of international transactions rises relative to domestic transactions during economic downturns; and second, the exclusive use of a letter of credit in international transactions exacerbates a collapse in trade during a financial crisis. The basic model considers banks’ optimal screening decisions in the presence of counterparty default risks. In equilibrium, banks will maintain a higher precision screening test for domestic firms and a lower precision screening test for foreign firms, which constitutes the main mechanism of the model.

Focusing on the global trade collapse and the subsequent recovery period, the purpose of this paper is to examine the export performance of firms that are involved in complex internationalization strategies.

The authors use a random-effects probit model with panel data and a dynamic panel data model (GMM system) for Spanish manufacturing firms from 2006 to 2013 period.

It is found that, once firm characteristics are controlled for, complex internationalization plays an important role in continuing to export and, additionally, positively influences the level of exports. Firms active in a complex mix of internationalization strategies have an added advantage, which enables them to confront the uncertainty of foreign markets in better conditions and translates to a lower likelihood of ceasing exporting and to higher export values.

The present paper throws light on this question by showing that the negative impact of trade collapse in 2009 on the export level was lower for firms inserted in complex internationalization strategies and the subsequent recovery was more intense.

The analysis goes one step further and investigates whether the impact is different during the trade collapse in 2009 and the following recovery. Here, previous empirical research at firm level on the role of complex internationalization strategies in trade is contradictory.

This study identifies measures to recover economic growth and build sustainable societies and markets in post-COVID-19 scenarios – with a perspective of resilience and adaptability to climate change and massive biodiversity loss. Additionally, this study uncovers the interventions implemented to address economic, environmental and social consequences of past crises based on a systematic literature review. Specifically, this chapter provides answers to the following six questions:

1. What has been done in the past to rebuild social, economic and environmental balance after global crises?

2. Where (geographical region) did the analysis on measures taken concentrate?

3. When have scholars analysed past measures to rebuild business and society after a global crisis?

4. How did the past measures to rebuild business and society after the global crisis take place?

5. Who promotes the measures to rebuild business and society after a global crisis takes place?

6. Why is it important to study the previous literature on past measures to rebuild business and society after a global crisis takes place?

What has been done in the past to rebuild social, economic and environmental balance after global crises?

Where (geographical region) did the analysis on measures taken concentrate?

When have scholars analysed past measures to rebuild business and society after a global crisis?

How did the past measures to rebuild business and society after the global crisis take place?

Who promotes the measures to rebuild business and society after a global crisis takes place?

Why is it important to study the previous literature on past measures to rebuild business and society after a global crisis takes place?

Finally, this chapter identifies future research opportunities to rebuild business and society after the past global crises.

The purpose of this paper is to investigate changes of China’s agri-food exports to Germany caused by China’s accession to WTO and the global financial crisis in a quantitative way. The paper aims to detect structural breaks and compare differences before and after the change points.

The structural breaks detection procedures in this paper can be applied to find out two different types of change points, i.e. in the middle and at the end of one time series. Then time series and regression models are used to compare differences of trade relationship before and after the detected change points. The methods can be employed in any economic series and work well in practice.

The results indicate that structural breaks in 2002 and 2009 are caused by China’s accession to WTO and the financial crisis. Time series and regression models show that the development of China’s exports to Germany in agri-food products has different features in different sub-periods. Before 1999, there is no significant relationship between China’s exports to Germany and Germany’s imports from the world. Between 2002 and 2008 the former depends on the latter very strongly, and China’s exports to Germany developed quickly and stably. It decreased, however suddenly in 2009, caused by the great reduction of Germany’s imports from the world in that year. But China’s market share in Germany still had a small gain. Analysis of two categories in agri-food trade also leads to similar conclusions. Comparing the two events we see rather different patterns even if they both indicate structural breaks in the development of China’s agri-food exports to Germany.

This paper partly originally proposes two statistical algorithms for detecting different kinds of structural breaks in the middle part and at the end of a short-time series, respectively.

This study aims to investigate current deglobalization against globalization and to hypothesize reasons and drivers of deglobalization. In addition, the study suggests an empirical model to test whether deglobalization exists in the world economy. The consequences of deglobalization are discussed.

Various measures for deglobalization are introduced for monitoring the deglobalization of a country, and statistical measures are reported. The research framework for deglobalization and empirical models are suggested. The relationship between deglobalization and globalization is being modeled using three KOF globalization indexes: economic, political and societal. This study used panel data from 1970 to 2017 for developed and developing countries to determine the degree of deglobalization.

Deglobalization has been found empirically since the global financial crisis. Deglobalization is estimated by the decreasing trend of import share in a country's gross domestic product and is influenced by manufacturing imports, country's income divide and political globalization. Both economic and societal globalizations have negative influence on deglobalization. Deglobalization is more apparent in developed countries than in developing countries, and the deglobalization trend will continue in diverse formats.

This study limits the use of few variables to test the antecedents of deglobalization. Another study can be done to extend preceding variables and estimate the consequences of deglobalization, which may segregate the globalization effect. The international business executive should understand the complexity of deglobalization and consider business benefits and risks to be encountered.

This study used panel data from 1970 to 2017 for developed and developing countries to determine the degree of deglobalization.

In this paper the authors address the questions whether global financial crises cause oil shocks worldwide, then whether such shocks affect trade flows of both oil importing and oil exporting countries of East-West Asia. The purpose of this paper is thus to explore such effects by specifying basically a dynamic export model using data of the Asian economies countries over the period 1980-2008.

An ARDL specification is applied to show the dynamic effects of main determinants, including financial crisis and the world oil price, on the export flows of each country in the sample. The data for financial crisis have been compiled by Hatzius et al. (2010).

The results, as a whole, imply that both financial crisis and oil price have a cross-effects on Asian trade flows in the short run, while this effects could not occur in the long run.

The goal is to estimate an econometric model of exports to examine how recent crises affect export flows in the selected Asian countries. Different from previous studies in the literature, this paper first explores the interaction between financial crisis and oil shocks and second uses an extended and dynamic export model, based on ARDL approach. The core of the study relies on the question whether a cross-relationship between oil price and financial crisis affects the export flows of the Asian countries: China, Japan, Iran, Malaysia, Saudi Arabia, South Korea and Turkey which are both oil importing and exporting.

Past research suggests that a financial crisis event has a dual and ambiguous effect on the exporting strategy of subsidiaries of multinational firms in a value chain and offshoring perspective. From a total volume perspective exports are expected to contract due to a decline in demand (demand shock) from other subsidiaries downstream in the value chain. While in a comparative perspective multinational subsidiaries are found to perform relatively better than local firms that are integrated differently (arms’ length) in global production networks (e.g., offshoring outsourcing). This chapter tries to reconcile these findings by testing a number of hypothesis about global integration strategies in the context of the Global Financial Crisis (GFC) and how it affected exporting among multinational subsidiaries operating out of Turkey. Controlling for the impact that exchange rate depreciations and volatility has on firm-level exports the study shows that the particular global event studied had no additional impact on individual firms’ exports. Since multinational subsidiaries are more insulated from these effects they are able to expand rather than contract their global integration strategies throughout the course of the GFC.