The social process of internet appropriation: Living in a digitally advanced country benefits less well-educated Europeans

We generalize and extend the sequential model proposed by the resources and appropriation theory to explain the digital divide in the European Union plus the United Kingdom (EU27+UK). We measure the theoretical constructs of the model with data provided by the EU and test the theoretical predictions using a partial least squares structural equation model. We find support for the hypothesized relationships but find that the effects vary depending on the digital development level of countries. While education overall is the primary determinant of the social production of digital inequalities, a country's digital development level is crucial for less well-educated Europeans. These findings have theoretical and practical implications: (1) they call into question the homogeneity of the effect of causal relationships and the assumption that individuals differ only in terms of motivation, access, and digital skills, and (2) they indicate that socially disadvantaged Europeans benefit from living in more digitally developed countries.     

Safety risk and international investment decisions

We identify and demonstrate the merit of a novel institutional factor, safety risk, which likely affects multinational corporations’ (MNCs’) international investment decisions. Safety risk refers to the extent to which security and physical well-being are endangered due to normalized aggression and criminality in society. Despite concerns from executives and policymakers, safety risk has attracted little research attention. We validate a safety risk measure and evaluate the construct’s effect on MNCs’ investments. The findings indicate that countries’ safety risk deters MNCs from investing. Further, in post hoc analyses, firms’ prior experiences with safety risk and countries’ private security investments moderated this relationship.     

Happiness sentiments and the prediction of cross-border country exchange-traded fund returns

This research examines whether social media (Twitter) happiness sentiment and country-level happiness sentiment indices predict cross-border ETF returns. To account for complicated associations between happiness sentiment and ETF returns, we use a quantile regression approach and find that Twitter and trading market (U.S.) happiness sentiments are strong predictors of future ETF returns, for which both have far greater predictive power than those of their home countries. Home country happiness indices exhibit asymmetric impacts across quantiles, suggesting the importance of trading country (U.S.) and Twitter happiness sentiments. Higher U.S. and home countries’ freedom to make life choices, absence of corruption perception, and confidence in national government precede higher ETF returns, while U.S. GDP, social support, health life expectancy, positive affect, and negative affect precede lower (abnormal) returns. We find that higher return quantile country ETFs provide a safe haven for U.S. investors during a U.S. bear market.     

The long-run reversal in the long run: Insights from two centuries of international equity returns

We perform the most comprehensive test of long-term reversal in national equity indices ever done. Having examined data from 71 countries for the years 1830 through 2019, we demonstrate a strong reversal pattern: the past long-term return negatively predicts future performance. The phenomenon is not subsumed by other established cross-sectional return patterns, including the value effect. The long-term reversal is robust to many considerations but highly unstable through time. Finally, our findings support the overreaction explanation of this anomaly.     

Environmental Multi‐dimensionality and Staff Localization in Multinational Enterprises: The Case of Korean Firms

The person–environment fit theory posits that the term “environment” can be defined at different levels. This study delineates two environmental dimensions (strategic and organizational) and empirically examines the potential moderating effects of two strategic factors (intra‐ and inter‐regional diversification) on the relationship between two organizational factors (subsidiary ownership and host‐country experience) and MNE subsidiary staffing composition. The results indicate that strategic and organizational dimensions have impacts on subsidiary staffing composition. This study also finds that the interaction effects between strategic and organizational factors are significant only when there is congruence between demands from different environmental dimensions.     

Challenging the obsession with local level institutions in country ownership of climate change adaptation

Working with local level actors to enable country ownership is applauded within the multilateral climate finance landscape. However, are emerging adaptation interventions equitable by reflecting the priorities of local level vulnerable populations? This research sought to find out whether the engagement of local institutions in projects that seek to achieve country ownership enabled local level vulnerable groups to participate in and influence adaptation decision-making processes and outcomes, thereby enabling them to have a voice in local level adaptation. It used a case study of a Global Environmental Facility-managed coastal adaptation project in Tanzania, which sought to restore and protect mangroves to enable adaptation to sea level rise. Data was generated from 13 Focus Group Discussions and survey questionnaires administered to 629 individuals in three locations on the mainland of Tanzania and in Zanzibar. The findings indicate that community-based organizations were used to facilitate the implementation of project activities at the community level. However, participation spaces created in the project and facilitated by these local institutions were exclusionary and failed to enable vulnerable community groups to have a voice on mangrove restoration and protection. Use of these local institutions altered local level power relations and disempowered other pre-existing and (in)formal local resource management institutions. Community members questioned legitimacy of actions implemented by these local institutions. These findings suggest that working with local level stakeholders to generate country ownership does not automatically guarantee that actions will address the needs of local vulnerable groups. Multilateral climate finance institutions should acknowledge these risks and implement measures to address them.     

LADM-based profile for farmland Tripartite Entitlement System in China

Since the beginning of the 21st century, China has undergone a promotion of industrialisation, urbanisation and agricultural modernisation. This promotion has triggered the mass migration of rural labour forces into cities, leading to the virtual situation of the separation of farmland contract and operation rights. To respond to this issue, the central government proposed a strategy of farmland reform in China. Such reform aims to transform the former ‘Bipartite Entitlement System’ into a ‘Tripartite Entitlement System (TES)’.¹ Land registration provides the means for recognising formalised property rights and regulating the characteristics and transfer of land-related rights. As for farmland registration in China, it serves as a basis to explore effective forms of collective farmland ownership by implementing collective farmland ownership, stabilising farmers’ contract rights and liberalising farmland operation rights. Thus, in this study, on the basis of the farmland tripartite entitlement (hereinafter referred to as ‘FTE’) reform in China, we develop a Land Administration Domain Model (LADM)-based TES model that will serve as the basis of subsequent system development. Specifically, first, we summarise the evolution process of China’s farmland rights system since the foundation of new China. Second, we propose a farmland rights system after the FTE reform. Then, the corresponding TES model is developed based on the LADM standard and some instance-level diagrams for farmland administration activities. The new functionality of the model includes improved structuring of farmland rights and restrictions (and related source documents) and improved expansion of the land information infrastructure to rural areas.     

The role of affinity and animosity on solidarity with Ukraine and hospitality outcomes

The tourism and hospitality industry has had to make some hard decisions during the year 2022. Many major hotel chains have had to decide whether to stay or pull out of Russia, and which policies to implement toward individual Russian guests at their hotels outside of Russia. This study investigates solidarity as an important factor to understanding the conflict and its ramifications for the hospitality industry. The authors explore whether solidarity with Ukraine is driven by affinity toward Ukraine, or by animosity toward Russia. Further, the study demonstrates that place solidarity impacts two specific outcomes in the hospitality industry. The paper concludes by outlining implications for scholars and practitioners.     

Terrorism,country attributes,and the volatility of stock returns

This study investigates the interplay between terrorism and finance, focusing on the stock return volatility of American firms targeted by terrorist attacks. We find terrorism risk is an important factor in explaining the volatility of stock returns, which should be taken into account when modelling volatility. Using a volatility event-study approach and a new bootstrapping technique, we find volatility increases on the day of the attack and remain significant for at least fifteen days following the day of the attack. Cross-sectional analysis of the abnormal volatility indicates that the impact of terrorist attacks differs according to the country characteristics in which the incident occurred. We find that firms operating in wealthier, or more democratic countries, face greater volatility in stock returns relative to firms operating in developing countries. Firm exposure varies with the nature of country location, with country wealth and level of democracy playing an important role in explaining the likelihood of a terrorist attack. Our results show that despite significant terrorist events this past decade, stock markets in developed countries have not taken terrorist risk into sufficient consideration.     

Implementing COOL: Comparative welfare effects of different labeling schemes

Country-of-origin labeling (COOL) is being implemented in different forms and degrees in the United States and other countries across the world. The first implementation of mandatory country of origin labeling (MCOOL) in the United States was for seafood in 2005. This is an example of partial MCOOL because it exempts the foodservice sector and excludes processed seafood from labeling. Using a conceptual framework, we analyze the welfare impacts of partial MCOOL when compared to no, voluntary, and total mandatory COOL, taking into account imperfect competition in the downstream markets, information asymmetry, and diversion of low-quality product to the unlabeled market. The model is general enough to apply to any incomplete regulation for which the perceived low-quality product is required to be labeled, such as the labeling of genetically modified food in the European Union. Our results show that when consumers have a strong enough preference for domestic relative to imported product, regulators can overestimate the gain in consumer welfare from partial mandatory labeling if they ignore the diversion of lower quality imports to the unlabeled sector. We show that if the preference for domestic product is large enough, total MCOOL benefits the home market the most overall, including domestic consumers and producers, but not the imperfectly competitive downstream agents. However, if total MCOOL is too costly to implement, partial MCOOL is the second-best solution, but only if consumers falsely believe the unlabeled product to be of higher quality than it truly is. Our results suggest more research is needed to determine the extent to which consumers value the information provided by MCOOL and to enable regulators to consider the welfare impact of diversion in evaluating incomplete mandatory labeling regulations.