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While the literature has highlighted the impacts of COVID-19, there is limited evidence on the gendered determinants of the impact of COVID-19 among small-scale rural traders in developing and emerging economies.

Cross-border fish traders who had operated before and during the COVID-19 pandemic were interviewed in a survey conducted in Zambia and Malawi. Logistic regressions among male and female traders were employed to assess the gendered predictors.

Heterogeneous effects in geographical location, skills, and knowledge were reported among male cross-border traders. Effects of household structure and composition significantly influenced the impact of COVID-19 among female traders. Surprisingly, membership in trade associations was associated with the high impact of COVID-19.

Due to the COVID-19 pandemic and the migratory nature of cross-border fish traders, the population of cross-border fish traders at the time of the study was unknown and difficult to establish, cross-border fish traders (CBFT) at the landing sites and market areas were targeted for the survey without bias.

This paper addresses a gap in the literature on understanding gendered predictors of the impacts of COVID-19 among small-scale cross-border traders.

Using an institution-based view, this study aims to conceptualize how sub-national institutional characteristics are likely to explain location choice of multinationals’ research and development (R&D) subsidiaries.

In a conceptual paper, this study explores specific institutional facets of the regional environments within a country that are capable of explaining, at least in part, the location choices of multinational corporations’ R&D subsidiaries.

This study thus explores the more nuanced influences of the institutional environments at a subnational level and develops propositions to explain location choices based on the differences of the institutional environments.

This study contributes to international business theory by incorporating a location-specific analysis that contrasts to the usual country-level observation on the determinants of firms’ location decisions.

The paper examines the impact of foreign direct investment (FDI), either greenfield investment or cross-border mergers and acquisitions (M&As), on domestic entrepreneurship.

This paper uses a panel dataset of 104 countries over ten years from 2006 to 2015 and multiple econometric techniques to control for potential endogeneity bias.

FDI, both in the form of greenfield investment and cross-border M&As, exerts positive spillover that encourages domestic entrepreneurial activities. While the benefit of greenfield investment in entrepreneurship is more pronounced in countries with higher levels of market capacity and institutional support, that of cross-border M&As is not influenced by these factors. On the other hand, human capital is important in promoting the positive effects of both types of FDI, and unless the level of human capital in the host economies reaches a certain threshold, greenfield investment can adversely affect domestic entrepreneurship.

Policies toward FDI need to focus on promoting the driving forces behind FDI spillover to counteract the potential negative crowding-out effect of FDI.

The paper contributes to the existing literature investigating the impact of FDI on domestic entrepreneurship by distinguishing between the two FDI modes of entry and taking into account the moderating effects of sociopolitical characteristics of the host economies.

By examining the link between the two types of FDI and intrastate conflict from 1990 to 2015 in 138 countries, this paper intends to test the peace-through-FDI thesis.

To empirically test the hypotheses, this study examines county-year observations from 1990 to 2015 for 138 countries. An instrumental variable method is utilized to this end.

This paper shows that, while greenfield FDI generates pacifying effects on intrastate conflict, M&A investment is likely to promote the onset of intrastate conflict.

Despite the extensive literature on FDI and the onset of intrastate conflict, many have approached FDI as a singular phenomenon, and have not broken it down into its constituent parts of greenfield and brownfield investment types. Theorizing that this practice had oversimplified and blurred the relationship of FDI on intrastate conflict onset, the authors pursued the collection of novel data in order to more completely distinguish between the two types of FDI. With this novel approach dividing FDI into its component parts, the authors break open the black box of FDI to empirically find out the extent of its diverse influence on the onset of intrastate conflict.

This study aims to examine the multidimensional nature of institutional distance as a driver of acquisition decisions in emerging markets. Then, this study aims to offer a nuanced perspective on the role of its various formal and informal dimensions by taking into account the potential contingency role played by a firm’s context experience.

Building on institutional economics and organizational institutionalism, this study explores the heterogeneity of institutional distance and its effects on the decision to enter emerging versus advanced markets through cross-border acquisitions. Thus, institutional distance is disentangled into its formal and informal dimensions, the former being captured by regulatory efficiency, country governance and financial development. Furthermore, our framework examines the moderating effect of an acquiring firm’s experience in institutionally similar environments, defined as context experience. The hypotheses are analyzed on a sample of 496 cross-border acquisitions by Italian companies in 41 countries from 2008 to 2018.

Findings indicate that at an increasing distance in terms of regulatory efficiency and financial development, acquiring firms are less likely to enter emerging markets, while informal institutional distance is positively associated with such acquisitions. Context experience mitigates the negative effect of formal distance and enhances the positive effect of informal distance.

This study contributes to institutional distance literature in multiple ways. First, by bridging institutional economics and organizational institutionalism and second, by examining the heterogeneity of formal and informal dimensions of distance, this study offers a finer-grained perspective on how institutional distance affects acquisition decisions. Finally, it offers a contingency perspective on the role of context experience.

This study investigates the impact of global economic sanctions on foreign direct investment (FDI).

Data were gathered from several sources, including the United Nations Conference on Trade and Development, the Global Sanction and the World Bank database, to build a dataset that consists of 172 countries during the period 2003–2019. The panel ordinary least square with a fixed-effects estimator was exploited to achieve the research objective.

The research findings reveal that sanction exerts a detrimental effect on the total inflows of FDI and its components. Regarding different types of sanctions, while military and trade sanctions have little or even no impact on greenfield investment, they have more adverse and sizable effects on cross-border mergers and acquisitions (M&As). The authors further show that sanctions exert devastating influences through the infrastructure and economic development channels.

Overall, this study implies that a closer look at particular types of FDI is required when implementing policies as different types of FDI may be affected differently by changes in the economy, such as economic sanctions.

This paper is the first empirical study that critically investigates the impact of sanctions on the total inward FDI flows and its two components: greenfield investment and cross-border M&As. It then explores how the sanction–FDI nexus varies depending on several country-level economic factors to understand better how sanctions and different types of sanctions are related to international trade and relations.

This paper aims to enhance the understanding of the role of Chinese outward foreign direct investment (OFDI) policies for cross-border merger and acquisition (M&A) by distinguishing between coercive and noncoercive OFDI policies.

The dependent variable is the count of completed M&A transactions, measured monthly. Due to the nature of the study’s data, the author performs a zero-inflated negative binomial (ZINB) regression.

Separating between coercive and noncoercive policies, the author finds that the latter type shows a stronger supportive effect on the count of M&A deals. Considering firm ownership, the study’s results reveal that announcements of coercive policies have a weaker effect on cross-border M&A for state-owned enterprises (SOEs) than that for private-owned enterprises (POEs). For local SOEs (LSOEs) and central SOEs (CSOEs), this difference becomes even larger with noncoercive policy announcements. The influence on M&A of both policy types gets partially replaced with increasing internationalization experience.

Combining institutional theory with policy change theory, the author argues that international business (IB) research on policy change needs to consider the integration of theoretical policy-level approaches to catch the effects of policy change on firm internationalization appropriately. The findings of the study support this argument by highlighting that the policy effect differs by policy type.

This paper delves into cross-border E-business, unraveling its intricate dynamics and forecasting its future trajectory.

This paper projects the prospective market size of cross-border E-business in China for the year 2023 using the GM (1,1) gray forecasting model. Furthermore, to enhance the analysis, the paper attempts to simulate and forecast the size of China’s cross-border E-business sector using the GM (1,3) gray model. This extended model considers not only the historical trends of cross-border E-business but also the growth patterns of GDP and the digital economy.

The forecast indicates a market size of 18,760 to 18,934 billion RMB in 2023, aligning with the consistent growth observed in previous years. This suggests a sustained positive trajectory for cross-border E-business.

Cross-border e-commerce critically shapes China’s global integration and traditional industry development. The research in this paper provides insights beyond statistical trends, contributing to a nuanced understanding of the pivotal role played by cross-border e-commerce in shaping China’s economic future.

Exchange rate uncertainty leads to an indecisive environment for imports and exports that would condense international trade, foreign direct investment, trade earnings, trade volumes, economic growth and welfare. This study aims to examine, empirically, the effect of exchange rate uncertainty on bilateral trade performance, focusing on eight SAARC member economies using the popular modified gravity model of trade.

The paper includes eight SAARC members – Afghanistan, Bangladesh, Bhutan, Maldives, Nepal, Pakistan and Sri Lanka panel data set over the period 2005–2018. The authors consider both standardized value (standard deviation) and conditional variance model to determine volatility of exchange rate. Primarily, ordinary least squares, random effects and fixed effects estimation techniques are employed to investigate the impact of exchange rate volatility. Endogeneity and robustness of the findings have been tested using the simultaneity-adjusted model and dynamic panel data two-step system GMM estimation techniques.

Empirical findings endorse the view that exchange rate volatility lowers trade flows in the SAARC regions. However, this adverse effect of exchange rate uncertainty on trade is pretty small. The negative correlation between exchange rate volatility and bilateral trade remains consistent and significant after controlling of simultaneous causality, autocorrelation, year effects, country-pair heterogeneity and endogeneity irrespective of panel data estimation techniques and different measures of volatility.

The present paper is original work.

This study proposes spatial origin-destination threshold Tobit to address spatial interdependence among bilateral trade flows while accounting for zero trade volumes.

This model is designed to capture multiple forms of spatial autocorrelation embedded in “directional” trade flows. The authors apply this improved model to export flows among 32 Asian countries in 1990.

The empirical results indicate the presence of all three types of spatial dependence: exporter-based, importer-based and exporter-to-importer-based. After further considering multifaceted spatial correlation in bilateral trade flows, the authors find that the effect of conventional trade variables changes in a noticeable way.

This finding implies that the standard gravity model may produce biased estimates if it does not take spatial dependence into account.

This paper attempts to offer an improved model of the standard gravity model by taking spatial dependence into account.