Country-level Factors Research Articles

Utilising machine learning to investigate actor engagement in the sharing economy from a cross-cultural perspective

PurposeRecent literature on customer engagement has introduced the concept of “actor engagement,” which serves as the foundation for this study. The study aims to investigate the formation of engagement and engagement's impact on the performance of sharing economy platforms in an international context.Design/methodology/approachThe study analyses unstructured data from 145,434 service providers and 1,703,266 customers on Airbnb across seven countries (USA, Canada, United Kingdom, Australia, South Africa, China and Singapore). Machine learning techniques are used to measure actor engagement, and the research model is tested using structural equation modelling (SEM).FindingsThe findings suggest that actor engagement, encompassing the reciprocal relationship between customer engagement and service provider engagement, has a significant impact on platform performance. The moderator analysis highlights the role of cultural differences in the relationship between customer engagement and service provider engagement and between actor engagement and platform performance. Specifically, the study reveals that actor engagement exhibits a more pronounced impact on platform performance in Western countries (such as the USA, Australia and the UK), compared to Eastern countries (such as China and Singapore).Research limitations/implicationsThe analysis of the conceptual model is based on the utilisation of behavioural data obtained from the Airbnb website. Due to the nature of the available data, proxies are employed as measures for variables such as platform performance.Originality/valueThis research is amongst the first to provide empirical evidence for actor engagement formation and the function's role in platform performance in the sharing economy. The global nature of Airbnb as a platform facilitates the investigation of country-level factors, specifically cultural values, across seven diverse countries and highlight differences from business to customer (B2C) business models.

Making the best of bad data: A longitudinal analysis of elephant poaching in Africa from 2002 to 2018

The issue of bad data and the potential misinterpretation of that data is becoming part of a growing debate within the wildlife conservation field. However, research on this topic has been limited compared to other fields. Therefore, to overcome these issues, this study followed an inductive data-driven approach using mixed-effects longitudinal methods for count-based data. This study adds to this growing debate by attempting to discern the potential causes of elephant poaching in African countries utilizing potentially unreliable data. Because wildlife crime is a societal problem, this study measured the probability of a wildlife reserve reporting illegally killed elephants found on MIKE (monitoring of illegally killed elephants) sites, given country-level factors—such as the amount of gross domestic product (GDP), the rate of urbanization, the total percentage of forest area in a country, and the perception of corruption in the country—and wildlife reserve-level factors, such as the size of the MIKE sites and the population estimates for the number of elephants within these MIKE sites. This study also looked at other controlling factors, such as misreporting information, the reliability of reporting information, and the international effect on elephant poaching. As a result, this study found that several factors attributing to economic demand, urbanization, corruption in the country, and the elephant population size on a designated MIKE site contributed to the odds of elephants being reported as having been illegally killed despite issues with reporting, international pressure, and efforts to crack down on corruption in end-market countries like China.

Anxiety, concerns and COVID-19: Cross-country perspectives from families and individuals with neurodevelopmental conditions.

The COVID-19 pandemic had a major impact on the mental health and well-being of children with neurodevelopmental conditions (NDCs) and of their families worldwide. However, there is insufficient evidence to understand how different factors (e.g., individual, family, country, children) have impacted on anxiety levels of families and their children with NDCs developed over time. We used data from a global survey assessing the experience of 8043 families and their children with NDCs (mean of age (m) = 13.18 years, 37% female) and their typically developing siblings (m = 12.9 years, 45% female) in combination with data from the European Centre for Disease Prevention and Control, the University of Oxford, and the Central Intelligence Agency (CIA) World Factbook, to create a multilevel data set. Using stepwise multilevel modelling, we generated child-, family- and country-related factors that may have contributed to the anxiety levels of children with NDCs, their siblings if they had any, and their parents. All data were reported by parents. Our results suggest that parental anxiety was best explained by family-related factors such as concerns about COVID-19 and illness. Children's anxiety was best explained by child-related factors such as children's concerns about loss of routine, family conflict, and safety in general, as well as concerns about COVID-19. In addition, anxiety levels were linked to the presence of pre-existing anxiety conditions for both children with NDCs and their parents. The present study shows that across the globe there was a raise in anxiety levels for both parents and their children with NDCs because of COVID-19 and that country-level factors had little or no impact on explaining differences in this increase, once family and child factors were considered. Our findings also highlight that certain groups of children with NDCs were at higher risk for anxiety than others and had specific concerns. Together, these results show that anxiety of families and their children with NDCs during the COVID-19 pandemic were predicted by very specific concerns and worries which inform the development of future toolkits and policy. Future studies should investigate how country factors can play a protective role during future crises.

Socioeconomic status, cultural values, and elderly care: An examination of elderly care preference in OECD countries

BackgroundWith the rapid growing of the older population around the world, care for older adults is becoming a pressing public health issue. To find the optimum and sustainable balance of informal and formal involvement in senior care is urgently important. However, it is still unclear how older adults’ preferences for senior care are shaped by a range of factors at individual and country levels. Therefore, the present study aimed to examine the roles of socioeconomic status (SES) and culture values in old adults’ attitude toward senior care. MethodsThe data from the International Social Survey Program 2012: Changing Family and Gender Roles were used to construct multilevel mixed-effect logistic regression models, in which the associations between individual-level and country-level factors and their interactions on senior care preference were estimated. ResultsSES indictors, family income and education level, were positively and inversely associated with older adults’ preference for family senior care, respectively. Moreover, there was an interactive effect of the individual-level factors and secular-rational values on senior care preference. ConclusionsFamily care is less likely to be preferred by older adults from societies that stress individual independence than those that highly value tight-knit family relationships. However, the cultural gap in the family care preference shrinks at a faster speed as older adults’ family income increase.

Nitrous oxide emissions dynamics in Indian agricultural landscapes: Revised emission rates and new insights

In the past five decades, nitrous oxide (N2O) emissions from Indian agricultural landscapes have significantly increased, making India the fifth-largest emitter of N2O globally (∼4.8%). The few studies that evaluated N2O at the India scale using a bottom-up approach were constrained to a brief period and employed country-level emission factors (EFs), despite the availability of long-term inventory data and spatially varying EFs. To fill this gap and comprehend the spatio-temporal N2O emissions dynamics at the district-level across India, this study created district- and crop-specific N2O EFs from 82 field plot studies with 861 observations across 13 locations. Through these improved EFs, district-level emissions were calculated from 1966 to 2017 using a modified IPCC Tier I-Tier II approach (specific EFs for synthetic fertilizer, animal manure, and crop residue return) and highlighted significant spatio-temporal drivers. Total N2O emissions in Indian agricultural soils increased from 73.7 ± 3.3 Gg in 1966–279.3 ± 15.8 Gg in 2017. The increase in total N2O emissions (3.9 Gg yr−1) from 1966 to 2017 is associated with the increase in crop production (4.1 Tg yr−1) driven by the increase in fertilization (0.3 Tg yr−1). N2O emissions from synthetic fertilizer, animal manure, crop residue return, soil organic matter, volatilization, leaching, and runoff increased from 1966 to 2017. On the national scale, N2O emissions from synthetic fertilization accounted for 57% in 2017, followed by animal manure (15%) and soil organic matter (9%). While the national emission totals are dominated by synthetic fertilizer application, district-level analyses revealed the possibility of the highest contributions from animal manure, crop residue return, and soil organic matter in 18% of the districts. The overall uncertainty from this modified method and refined EFs was 5.1%. This study is the first to capture long-term N2O dynamics at the district scale from Indian agricultural soils.

Currency change and capital structure decisions: evidence from the birth of the Euro area

PurposeThe paper investigates if the process that led to the birth of the Euro Area had a significant impact in homogenizing the capital structure decisions of European firms since the first introduction of the common currency.Design/methodology/approachA large sample of firms was constructed, and a Tobit-censored regression model was utilized to investigate the determinants of firms' observed capital structures. The Black–Scholes–Merton model was used to infer market values of assets, as well as the volatility of those values, from the observed market values of equity and the corresponding volatility. The existing differences in national tax rules were considered for estimating firm-specific marginal tax rates.FindingsIt was found that, despite the currency union and the institutional harmonization process, certain factors still play a different role. In particular, the impact of profitability is consistent with the pecking order view in some countries, and with the trade-off theory in others. Assets risk, measured as the annualized volatility of the market enterprise value, is the best predictor of observed leverage ratios. The sector of activity is significant in determining leverage decisions even when assets' risk is taken into account. Despite the monetary union and the increased financial and institutional integration in the Euro Area, the country of origin still plays a significant role in capital structure decisions, suggesting that other country-level factors may affect firms' financing behaviour.Practical implicationsThe paper indicates that, despite the long harmonization process of institutions, regulations and public budget required to join the Euro, firms' financing decisions are still affected by country-specific factors once the common currency is introduced. Therefore, new entrant countries in the Euro area should not expect their companies to immediately conform with those located in other countries within the common currency area.Originality/valueThis article investigated the impact of the currency change from national currencies to the Euro on the determinants of capital structure choices. It was shown that, despite the long harmonization process that led to the birth of the Euro Area, national factors still affect firms' financing decisions. This provides guidance for policymakers in countries that are planning to join the Euro about the impact this will have on firms' financing decisions in the entrant country.

Changes in Solo and Partnered Sexual Behaviors following the First COVID-19 Wave: Data from an International Study of 26 Countries

Objective: To determine individual- and country-level factors associated with self-reported changes in solo and partnered sexual behaviors in an international sample of adults during COVID-19. Methods: Data were from the International Sexual Health And REproductive Health during COVID-19 study (I-SHARE)—a cross-sectional, multi-country study (N = 26 countries) assessing adult (N = 19,654) sexual/reproductive health before and during the first wave of COVID-19. We examined self-reported changes (three-point scale: decreased, no change, increased) in solo masturbation, hugging/holding hands/cuddling with a partner, sex with a primary partner, sex with a casual partner, sexting with a partner, viewing sexually explicit media and partnered cybersex. Ordinal regression assessed the impact of individual (age, gender- and sexual-identity, romantic partnership status, employment and income stability, household change and content, mental well-being, changes in alcohol use, and changes in marijuana use) and country-level (e.g., Oxford Stringency Index, Human Development Index, and the Palma Ratio) factors on behavior change. Results: The most common behavior to increase was hugging, kissing, or cuddling with a partner (21.5%), and the most common behavior to decrease was sex with a main partner (36.7%). Household factors like job/income instability and having children over the age of 12 years were significantly associated with decreased affectionate and sexual partnered sexual behaviors; more frequent substance use was linked to significantly increased solo, partnered, and virtual sexual behaviors. Conclusions: Understanding changes in sexual behaviors—as well as the factors that make changes more or less likely among adults around the world—are important to ensure adequate sexual health support development for future public health emergencies.

Wealth inequalities in physical and cognitive impairments across Japan and Europe: the role of health expenditure and infrastructure

Although prior research has provided insights into the association between country-level factors and health inequalities, key research gaps remain. First, most previous studies examine subjective rather than objective health measures. Second, the wealth dimension in health inequalities is understudied. Third, a handful of studies explicitly focus on older adults. To bridge these research gaps, this study measures wealth-related inequalities in physical and cognitive impairments and examines the extent to which welfare states moderate wealth inequalities in physical and cognitive impairments among older people across Japan and Europe. We utilized harmonized data on non-institutionalized individuals aged 50–75 from the Japanese Study of Aging and Retirement (JSTAR) and the Survey of Health, Ageing and Retirement in Europe (SHARE) (N = 31,969 for physical impairments and 31,348 for cognitive impairments). Our multilevel linear regression analyses examined whether national public health spending and healthcare access resources explained cross-country differences in wealth inequalities in physical and cognitive impairments. We applied a concentration index to quantify the degree of wealth inequalities in impairments. The findings indicate that inequalities in both impairment outcomes favored wealthier individuals in all countries, but the magnitude of inequality varied by country. Furthermore, a higher share of public health spending, lower out-of-pocket expenditure, and higher investment in healthcare resources were associated with lower wealth inequalities, especially for physical impairments. Our findings suggest that different health interventions and policies may be needed to mitigate specific impairment inequalities.

Tourism industry and employment generation in emerging seven economies: evidence from novel panel methods

To analyze E-7 economies, the authors employ panel data and relevant panel data econometrics approaches for long-run relationships Mean group, fully modified and dynamic OLS (MG, FMOLS, DOLS) to monitor changes over time between variables, which is important in actual studies. The models’ primary findings are as follows: The panel cointegration tests confirm log-run associations among the targeted variables. International tourism has the largest influence on creating direct jobs in the tourist industry. The control variables like FDI and TI increase employment opportunities in the targeted economies. Furthermore, the results confirm that total natural resources reduce employment services in the E-7 economies. Other factors that might affect the performance of the tourist activity are not included in the model. Furthermore, given the availability of official and consistent data, it only includes what has been recorded up to 2020; our target was 2022, but due to data limitation, it covers 2020. The objective is to assess both the significance of tourist-related activities in creating jobs and the effect of tourism on country-level factors where public policy may influence economic activity.

The risk impacts of global natural and technological disasters

This research develops an expected risk model and estimates risk impacts of single or multiple disasters in terms of human fatality, injury, affected, and economic damage for nearly 200 nations. Both natural hazards, including geophysical, meteorological, hydrological, and technological disasters, such as industrial, transport, and structural, are considered. Relevant measures of expected risk, such as standard deviation, coefficient of variance, range, and rank are also calculated to assess a country's overall risk. Social-economic-physical factors from the World Development Index developed by the United Nations (UN) are then regressed with occurrences and risks of natural and tech disasters to seek plausible associations. The results show that (1) the model performs reasonably well in fitting observed and modeled risks and risk impacts, relatively better for natural disaster and affected people and economic damage; (2) while natural disasters are far more risky than tech ones in total risk impacts; specific risks for subgroups of natural or tech disasters vary widely in magnitude and by country; (3) high natural and/or tech risks concentrate in a small number of countries, such as China, India, Bangladesh in Asia; U.S., Mexico, Canada in North America; Turkey, Russia, France, Germany in Europe, and Algeria, Egypt, and Ethiopia in Africa, which are relatively large in population, fast in development, or advanced in industrialization; yet (4) high risk deviations per unit risk impacts reveal that many small, developing, and tech backward countries need to prepare even more for both natural and tech disasters. Finally, (5) while many country-level development factors, together with disaster occurrence, are statistically significant, only some can provide weak predictability of disaster risk impacts under robust regression. The research findings provide useful risk references to countries for resilient national policies for disaster preparation, mitigation, and recovery.

The responsibility of ensuring food security: a cross-country study on reducing the impact of agricultural industries on vulnerability to climate change

PurposeConsidering that food security is a global responsibility, the purpose of this study is to examine the impact of agricultural industries on vulnerability to climate change and the moderating effects of gender-diverse parliaments, education expenditures, research and development (R&D) expenditures and foreign direct investment (FDI).Design/methodology/approachUsing concepts in governance, innovation and knowledge theory, a large panel data set of 125 countries covering 1997–2018 (1,852 country-year observations) was analyzed. Data were sourced from the Notre Dame Global Adaptation Index, the World Bank, the Heritage Index and the International Monetary Fund. Moderated random effects regression was conducted in Stata.FindingsThe results reveal that agricultural industries are positively associated with vulnerability to climate change and provide support for our predictions that education expenditures and FDI both reduce the impact of agricultural industries on vulnerability to climate change. However, contrary to predictions, the percentage of women in parliament and R&D expenditures both increase this impact.Originality/valueTo the best of the authors’ knowledge, this is the first quantitative study that uses large, established data sets to explore the relationship between agricultural industries and country vulnerability to climate change. This study shows the significance of country-level factors that both decrease and increase the impact of agricultural industries on vulnerability to climate change.

Democratic governance and global science: A longitudinal analysis of the international research collaboration network.

The democracy-science relationship has traditionally been examined through philosophical conjecture and country case studies. There remains limited global-scale empirical research on the topic. This study explores country-level factors related to the dynamics of the global research collaboration network, focusing on structural associations between democratic governance and the strength of international research collaboration ties. This study combines longitudinal data on 170 countries between 2008 and 2017 from the Varieties of Democracy Institute, World Bank Indicators, Scopus, and Web of Science bibliometric data. Methods include descriptive network analysis, temporal exponential random graph models (TERGM), and valued exponential random graph models (VERGM). The results suggest significant positive effects of democratic governance on the formation and strength of international research collaboration ties and homophily between countries with similar levels of democratic governance. The results also show the importance of exogenous factors, such as GDP, population size, and geographical distance, as well as endogenous network factors, including preferential attachment and transitivity.

Institutional and country level determinants of vertical integration: New evidence from the oil and gas industry

The aim of this study is to identify the determinants of vertical integration in the oil and gas industry at the firm and country level. A sample dataset of oil and gas companies in the top ten oil-producing countries spanning 10 years (2011–2020) is analysed. Using pool-fixed regression techniques, a firm's size, firm's age, and reserves replacement ratio create incentives for vertical integration in the oil and gas industry at firm-level have been identified. While country-level factors such as oil price and oil demand are negatively correlated with vertical integration, drilling productivity is positively correlated with vertical integration. The findings are important not only for the managers of oil and gas firms but also for the policymakers and regulatory authorities of oil-producing and exporting countries.

Gimme shelter. Social distancing and income support in times of pandemic

Stay-at-home orders feature high in the set of policies used to curb the spread of epidemics such as COVID-19, but are potentially less efficient among poor people who must continue to work during pandemics. We examine how income support programs help poor people comply with stay-at-home order and thereby generate positive health externalities. We use data on work-related mobility in 2020 and on poverty rates for 729 subnational regions of Africa, Latin America and Asia. We focus on within-country differential mobility changes between higher- and lower-poverty regions. Accounting for all time-variant country-level factors, we show that lockdowns have decreased mobility significantly less in poorer regions. In turn, emergency income support programs have helped reduce this difference, mitigating the regional poverty gap in virus exposure through work mobility.

Les Misérables: An analysis of low SWB across the world.

Global trends indicate that the prevalence of low subjective wellbeing is on the rise, though not all regions are equal in terms of both absolute levels and their trajectories. In this paper, we explore the relative importance of individual- and country-level factors in predicting low SWB. Put differently, we ask if a person found themselves behind a veil of ignorance, should they want to know who they will be or what country they will live in to better understand their risk of having low wellbeing. To answer this question, we leverage data from the most extensive wellbeing survey in the world-the Gallup World Poll. We explore people's likelihood of reporting low evaluative wellbeing (that their life is close to the worst possible life on the Cantril ladder) and low experiential wellbeing (reporting having felt angry, sad, stressed, and worried for most of the day yesterday). Using multilevel models on both measures, we show that individual factors have the greatest explanatory power across both measures, but that country level factors are almost four times more important in explaining the variation in low evaluative wellbeing than low experiential wellbeing around the world. We also present evidence that individual and country-level factors interact, suggesting that a complex system of people and places determines people's likelihood of reporting low SWB.

Predictive value of supply chain sustainability initiatives for ESG performance: a study of large multinationals

PurposeAlthough the integration of sustainability into business strategies and operations has received considerable scholarly attention, little is known about how sustainability initiatives across the extended value chain affect this integration. This study aims to analyze the impact of multinational corporations’ supply chain sustainability initiatives on their environmental, social and corporate governance (ESG) performance and the moderating role of the key country-level factors of the multinational’s headquarters.Design/methodology/approachThis study analyzes data published by the top 201 multinationals among Fortune Global 500 companies over the period 2011–2021 on their attempts to integrate sustainability measures in extended supply chains and the resultant impact on their ESG scores. A fixed-effect model is used in the primary empirical study.FindingsResults indicate that managerial interventions through a more robust supply chain policy framework, monitoring mechanisms, corrective actions and training initiatives lead to better ESG-environment pillar performance for multinationals. Additionally, the ESG-environment pillar performance is influenced by the socioeconomic model and country-level ESG risks of the nation where the multinational is headquartered.Originality/valueThe implications of this study are vital for understanding the criticality of sustainability initiatives in the supply chain for a firm’s overall ESG performance. To attain better levels of sustainable performance, multinationals must assume a stewardship position and deploy sustainability initiatives in their extended supply chain.

An examination of how six reasons for valuing nature are endorsed and associated with pro-environmental behavior across 12 countries

Balanced samples from 12 countries (N = 12,000) were surveyed about their reasons for valuing nature and pro-environmental behaviors. Results showed that people were least likely to endorse moral-based reasons for valuing nature, as compared to five other reasons (wellbeing benefits, nature’s intrinsic value, health benefits, economic value, identity-based reasons). However, moral- and identity-based reasons (relative to the other four reasons) for valuing nature were the strongest predictors of pro-environmental behavior across three different methods (correlations, linear mixed models, and relative importance analysis) and two pro-environmental behavior categories (consumer behavior and activism). In other words, the reasons for valuing nature most associated with pro-environmental behavior also garnered the weakest support, presenting a potential dilemma for those hoping to leverage values to promote pro-environmental behavior. We also identify a possible mechanism (awareness of one’s environmental impact) to explain why moral- and identity-based reasons for valuing nature best predict behavior. Finally, we examine between-country variability in the endorsement of the six reasons and the reasons’ associations with pro-environmental behaviors, and country-level factors that may explain between-country variability in these outcomes. We discuss these results in the context of broader literature that has focused on an intrinsic vs. instrumental valuation of nature dichotomy.

Profitability or Longevity? Cross-Country Variations in Corporate Performance

The previous literature shows that firms’ purposes and behaviors vary across countries, but few studies have empirically examined whether firm performance varies across countries. This study compares the performance of the world’s largest corporations across 47 countries. Using the data for firms listed in the Fortune Global 500 from 1973 to 2020, we explore whether there are cross-country variations in two dimensions of corporate performance: profitability and longevity. We find significant variations in both profitability and longevity across countries. We also observe that firms in some countries are highly (less) profitable but less (more) likely to survive for a long time. We regress profitability and longevity on country-level institutional factors: financial systems, laws, and national cultures. We find that (i) a market-based (bank-based) financial system is positively (negatively) related to a firm’s profitability, but negatively (positively) related to its longevity; (ii) common law (civil law) is positively (negatively) related to the profitability of a firm, but negatively (positively) related to its longevity; and (iii) high individualism, low uncertainty avoidance, and low long-term orientation are positively related to profitability, but negatively related to longevity. These results suggest that a country’s formal and informal institutions significantly affect a firm’s purpose, behavior, and performance.

The health and environmental risks and rewards of modernity that shape scientific optimism.

Individuals in high-income countries increasingly express less scientific optimism than in lower-income societies. In this article, we utilize risk society theory to understand the complicated relationship between individual- and country-level factors, and optimism toward the role of science in society in "reflexively modern" societies. We use multilevel modeling with 16 high-income countries to determine the individual-level and country-level factors that shape scientific optimism. Next, we look at the individual characteristics that affect scientific optimism in each country individually. At the individual level, we find that older people, the more highly educated and higher earning, those farther to the Right on the political spectrum, and those with more materialist (rather than postmaterialist) attitudes have higher scientific optimism, while more religious people have lower optimism regarding science. At the country level, we make a corollary argument about materialism: societies that have higher measles immunization rates, generate more electricity from fossil fuels, and have a greater percentage of mobile phone subscriptions, have populaces that are more optimistic toward science.

The hare and the tortoise: A comparative study of Vietnam's and Kenya's pathways to local enterprise development through foreign direct investment

ABSTRACT Almost simultaneously, two developing countries – Kenya and Vietnam – set out to promote industrial development through FDI. Vietnam embarked on a targeted strategy aimed at selecting FDI that could specifically aid the country’s strategic export sectors through linkages to local industry. In contrast, Kenya embarked on a cross-the-board FDI attraction policy with no specific sector orientation and with few specific linkage policies. This paper asks how FDI has contributed to local industry development in the two countries. Based on an analysis of firm level data from the World Bank Enterprise Survey, the paper compares the two countries’ ability to generate spillovers from FDI spillovers and discusses what explains differences and similarities. The paper finds that in spite of the obvious differences between the two countries in terms of local industrial development and policy, firm and industry factors appeared to be better predictors of variations in spillovers than country level factors. Among the policy implications drawn are that developing countries should focus their FDI policies on firms and industries that have high linkage and hence spillover potential rather than adopting cross-the-board policies.