Board and corporate social responsibility disclosure of multinational corporations

Purpose: This paper aims to investigate the effects of board model and board independence on corporate social responsibility (CSR) disclosure of multinational corporations (MNCs). Design/methodology/approach: The authors developed an empirical model in which CSR disclosure is the dependent variable and board model (two-tier vs one-tier), board independence (a proportion of independent directors on a board) and the interaction variable of board model and board independence together with several variables conventionally used as control variables are independent variables. The authors collated the panel dataset of 244 Fortune World’s Most Admired (FWMA) corporations from 2005 to 2011 of which 117 MNCs use the one-tier board model, and 127 MNCs use the two-tier board model from 20 countries. They used the random-effect regression method to estimate the empirical models with the data they collated and also ran regressions on the alternative models for robustness check. Findings: The authors found a significantly positive effect of a board model on CSR disclosure by MNCs. Two-tier MNCs tend to reveal more CSR information than one-tier MNCs. The results also confirm the significant moderating impact of board model on the effect of board independence on CSR disclosure. The effect of board independence on CSR disclosure in the two-tier board MNCs tends to be higher than that in the one-tier board MNCs. The results do not support the effect of board independence on CSR disclosure in general for all types of firms (one-tier and two-tier board). The impact of board independence on CSR disclosure is only significant in two-tier board MNCs and insignificant in one-tier board MNCs. Practical implications: The authors advise the MNCs who wish to improve CSR reporting and transparency to consider the usage of two-tier board model and use a higher number of outside directors on board. They note that once a firm uses one-tier model, number of IDs on a board does not matter to the level of CSR disclosure. They advise regulators to enforce an application of two-tier board model to improve CSR reporting and transparency in MNCs. The authors also recommend regulators to continue mandating publicly traded companies to include more external members on their boards, especially for the two-tier board MNCs. Originality/value: This paper is the first that investigates the role of board model on CSR disclosure of MNCs

Functional upgrading, relational capability and export performance of vietnamese wood furniture producers

Departing from my interest in finding key factors determining a developing country firms’ export success, this research explores two fascinating topics: one is the debate on whether a developing country’s producers should become involved in marketing functions where a developed country’s firms already hold a strong position, and the other is the very limited attention given in the export literature to the role of relational capability in a firm’s export business...

Antecedents and consequences of online customer satisfaction: A holistic process perspective

This paper examines the determinants and consequences of online customer satisfaction by considering the entire online shopping experience, based on data collected from our survey of UK consumers in 2016. We found evidence that post online purchase experiences including experiences with order fulfilment, ease of return and responsiveness of customer service are the most significant contributors to online customer satisfaction. Security assurance, customisation, ease of use, product information and ease of check-out, all have significant impact but at much lower levels. The effect of website appearance on customer satisfaction is not significant. Our findings show that online customer satisfaction leads to repurchase intention, and a likelihood of making positive recommendations to others, but not willingness to pay more. We also found the effects of product information, customisation, order fulfilment and responsiveness of customer service on customer satisfaction are stronger for experience products than search products, while there is no significant difference in the effects of other determinants for search products and experience products. Several theoretical and managerial implications are provided, based on our findings

The influence of relational capability and marketing capabilities on the export performance of emerging market firms

Purpose - Drawing on the resource based view this study focuses on the influence of relational capability and marketing capabilities on export performance. The study also examines the interaction effects of relational capability on the marketing capabilities - export performance relationships. Design/ methodology/ approach - A stratified random sample of 1,047 exporting firms were approached. Survey data was collected from 333 Vietnamese exporting firms and analysed using hierarchical moderated regression. Findings - The results reveal that a firm’s relational capability not only strengthens the efficiency of the export pricing capability – performance, marketing intelligence capability – performance, and marketing communication capability - performance relationships, but is also the strongest predictor of export performance amongst those capabilities identified. Whilst engagement in market intelligence, product development, price setting and promotional activities have a positive payoff, our findings confirm there is less need for exporters to engage in after-sales service and distribution capabilities. Originality/value - The study introduces the notion of relational capability alongside export marketing capabilities as predictors of export performance. We also examine the moderating influence of relational capability on the link between export marketing capabilities and export performance. By focusing on Vietnam, the study provides fresh insights surrounding the development pathway for firms in emerging markets. Keywords: Relational capability, marketing capabilities, moderating impact, export performance, the resource-based view, emerging markets, Vietnam

Groundwater simulation in Dak Lak province based on MODFLOW model and climate change scenarios

Purpose – Groundwater plays a critical part in both natural and human existence. When surface water is scarce in arid climates, groundwater becomes an immensely valuable resource. Dak Lak is an area that frequently lacks water resources for everyday living and production, and the scarcity of water resources is exacerbated during the dry season. As a result, it is critical to do study and understand about groundwater to meet the region's water demand. This study aims to extend the use of the MODFLOW model for groundwater simulation and assess the overall groundwater reserves and water demand in the highland province Dak Lak. Design/methodology/approach – The MODFLOW model is used in this work to compute and analyze the flow, prospective reserves of groundwater from which to plan extraction and estimate groundwater variation in the future. Findings – The application of the MODFLOW model to Dak Lak province demonstrates that, despite limited data, particularly drilling hole data for subterranean water research, the model's calculation results have demonstrated its reliability and great potential for use in other similar places. The use of the model in conjunction with other data extraction modules is a useful input for creating underground flow module maps for various time periods. The large impact of recharge and evaporation on groundwater supplies and water balance in the research area is demonstrated by simulations of climate change scenarios RCP4.5 and RCP8.5. Originality/value – None of the studies has been done previously to analyze water resources of Dak Lak and the scarcity of water resources is exacerbated during the dry season. Therefore, this study will provide useful insights in the water resource management and the conservation of Dak Lak. The groundwater in Dak Lak can meet the area's water demand, according to the results obtained and water balance in the study area. However, the management of water resources and rigorous monitoring of groundwater extraction activities in the area should receive more attention

Height and body-mass index trajectories of school-aged children and adolescents from 1985 to 2019 in 200 countries and territories: a pooled analysis of 2181 population-based studies with 65 million participants

Summary Background Comparable global data on health and nutrition of school-aged children and adolescents are scarce. We aimed to estimate age trajectories and time trends in mean height and mean body-mass index (BMI), which measures weight gain beyond what is expected from height gain, for school-aged children and adolescents. Methods For this pooled analysis, we used a database of cardiometabolic risk factors collated by the Non-Communicable Disease Risk Factor Collaboration. We applied a Bayesian hierarchical model to estimate trends from 1985 to 2019 in mean height and mean BMI in 1-year age groups for ages 5–19 years. The model allowed for non-linear changes over time in mean height and mean BMI and for non-linear changes with age of children and adolescents, including periods of rapid growth during adolescence. Findings We pooled data from 2181 population-based studies, with measurements of height and weight in 65 million participants in 200 countries and territories. In 2019, we estimated a difference of 20 cm or higher in mean height of 19-year-old adolescents between countries with the tallest populations (the Netherlands, Montenegro, Estonia, and Bosnia and Herzegovina for boys; and the Netherlands, Montenegro, Denmark, and Iceland for girls) and those with the shortest populations (Timor-Leste, Laos, Solomon Islands, and Papua New Guinea for boys; and Guatemala, Bangladesh, Nepal, and Timor-Leste for girls). In the same year, the difference between the highest mean BMI (in Pacific island countries, Kuwait, Bahrain, The Bahamas, Chile, the USA, and New Zealand for both boys and girls and in South Africa for girls) and lowest mean BMI (in India, Bangladesh, Timor-Leste, Ethiopia, and Chad for boys and girls; and in Japan and Romania for girls) was approximately 9–10 kg/m2. In some countries, children aged 5 years started with healthier height or BMI than the global median and, in some cases, as healthy as the best performing countries, but they became progressively less healthy compared with their comparators as they grew older by not growing as tall (eg, boys in Austria and Barbados, and girls in Belgium and Puerto Rico) or gaining too much weight for their height (eg, girls and boys in Kuwait, Bahrain, Fiji, Jamaica, and Mexico; and girls in South Africa and New Zealand). In other countries, growing children overtook the height of their comparators (eg, Latvia, Czech Republic, Morocco, and Iran) or curbed their weight gain (eg, Italy, France, and Croatia) in late childhood and adolescence. When changes in both height and BMI were considered, girls in South Korea, Vietnam, Saudi Arabia, Turkey, and some central Asian countries (eg, Armenia and Azerbaijan), and boys in central and western Europe (eg, Portugal, Denmark, Poland, and Montenegro) had the healthiest changes in anthropometric status over the past 3·5 decades because, compared with children and adolescents in other countries, they had a much larger gain in height than they did in BMI. The unhealthiest changes—gaining too little height, too much weight for their height compared with children in other countries, or both—occurred in many countries in sub-Saharan Africa, New Zealand, and the USA for boys and girls; in Malaysia and some Pacific island nations for boys; and in Mexico for girls. Interpretation The height and BMI trajectories over age and time of school-aged children and adolescents are highly variable across countries, which indicates heterogeneous nutritional quality and lifelong health advantages and risks

Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

BACKGROUND Regular, detailed reporting on population health by underlying cause of death is fundamental for public health decision making. Cause-specific estimates of mortality and the subsequent effects on life expectancy worldwide are valuable metrics to gauge progress in reducing mortality rates. These estimates are particularly important following large-scale mortality spikes, such as the COVID-19 pandemic. When systematically analysed, mortality rates and life expectancy allow comparisons of the consequences of causes of death globally and over time, providing a nuanced understanding of the effect of these causes on global populations. METHODS The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 cause-of-death analysis estimated mortality and years of life lost (YLLs) from 288 causes of death by age-sex-location-year in 204 countries and territories and 811 subnational locations for each year from 1990 until 2021. The analysis used 56 604 data sources, including data from vital registration and verbal autopsy as well as surveys, censuses, surveillance systems, and cancer registries, among others. As with previous GBD rounds, cause-specific death rates for most causes were estimated using the Cause of Death Ensemble model-a modelling tool developed for GBD to assess the out-of-sample predictive validity of different statistical models and covariate permutations and combine those results to produce cause-specific mortality estimates-with alternative strategies adapted to model causes with insufficient data, substantial changes in reporting over the study period, or unusual epidemiology. YLLs were computed as the product of the number of deaths for each cause-age-sex-location-year and the standard life expectancy at each age. As part of the modelling process, uncertainty intervals (UIs) were generated using the 2·5th and 97·5th percentiles from a 1000-draw distribution for each metric. We decomposed life expectancy by cause of death, location, and year to show cause-specific effects on life expectancy from 1990 to 2021. We also used the coefficient of variation and the fraction of population affected by 90% of deaths to highlight concentrations of mortality. Findings are reported in counts and age-standardised rates. Methodological improvements for cause-of-death estimates in GBD 2021 include the expansion of under-5-years age group to include four new age groups, enhanced methods to account for stochastic variation of sparse data, and the inclusion of COVID-19 and other pandemic-related mortality-which includes excess mortality associated with the pandemic, excluding COVID-19, lower respiratory infections, measles, malaria, and pertussis. For this analysis, 199 new country-years of vital registration cause-of-death data, 5 country-years of surveillance data, 21 country-years of verbal autopsy data, and 94 country-years of other data types were added to those used in previous GBD rounds. FINDINGS The leading causes of age-standardised deaths globally were the same in 2019 as they were in 1990; in descending order, these were, ischaemic heart disease, stroke, chronic obstructive pulmonary disease, and lower respiratory infections. In 2021, however, COVID-19 replaced stroke as the second-leading age-standardised cause of death, with 94·0 deaths (95% UI 89·2-100·0) per 100 000 population. The COVID-19 pandemic shifted the rankings of the leading five causes, lowering stroke to the third-leading and chronic obstructive pulmonary disease to the fourth-leading position. In 2021, the highest age-standardised death rates from COVID-19 occurred in sub-Saharan Africa (271·0 deaths [250·1-290·7] per 100 000 population) and Latin America and the Caribbean (195·4 deaths [182·1-211·4] per 100 000 population). The lowest age-standardised death rates from COVID-19 were in the high-income super-region (48·1 deaths [47·4-48·8] per 100 000 population) and southeast Asia, east Asia, and Oceania (23·2 deaths [16·3-37·2] per 100 000 population). Globally, life expectancy steadily improved between 1990 and 2019 for 18 of the 22 investigated causes. Decomposition of global and regional life expectancy showed the positive effect that reductions in deaths from enteric infections, lower respiratory infections, stroke, and neonatal deaths, among others have contributed to improved survival over the study period. However, a net reduction of 1·6 years occurred in global life expectancy between 2019 and 2021, primarily due to increased death rates from COVID-19 and other pandemic-related mortality. Life expectancy was highly variable between super-regions over the study period, with southeast Asia, east Asia, and Oceania gaining 8·3 years (6·7-9·9) overall, while having the smallest reduction in life expectancy due to COVID-19 (0·4 years). The largest reduction in life expectancy due to COVID-19 occurred in Latin America and the Caribbean (3·6 years). Additionally, 53 of the 288 causes of death were highly concentrated in locations with less than 50% of the global population as of 2021, and these causes of death became progressively more concentrated since 1990, when only 44 causes showed this pattern. The concentration phenomenon is discussed heuristically with respect to enteric and lower respiratory infections, malaria, HIV/AIDS, neonatal disorders, tuberculosis, and measles. INTERPRETATION Long-standing gains in life expectancy and reductions in many of the leading causes of death have been disrupted by the COVID-19 pandemic, the adverse effects of which were spread unevenly among populations. Despite the pandemic, there has been continued progress in combatting several notable causes of death, leading to improved global life expectancy over the study period. Each of the seven GBD super-regions showed an overall improvement from 1990 and 2021, obscuring the negative effect in the years of the pandemic. Additionally, our findings regarding regional variation in causes of death driving increases in life expectancy hold clear policy utility. Analyses of shifting mortality trends reveal that several causes, once widespread globally, are now increasingly concentrated geographically. These changes in mortality concentration, alongside further investigation of changing risks, interventions, and relevant policy, present an important opportunity to deepen our understanding of mortality-reduction strategies. Examining patterns in mortality concentration might reveal areas where successful public health interventions have been implemented. Translating these successes to locations where certain causes of death remain entrenched can inform policies that work to improve life expectancy for people everywhere. FUNDING Bill & Melinda Gates Foundation

Heterogeneous contributions of change in population distribution of body mass index to change in obesity and underweight NCD Risk Factor Collaboration (NCD-RisC)

From 1985 to 2016, the prevalence of underweight decreased, and that of obesity and severe obesity increased, in most regions, with significant variation in the magnitude of these changes across regions. We investigated how much change in mean body mass index (BMI) explains changes in the prevalence of underweight, obesity, and severe obesity in different regions using data from 2896 population-based studies with 187 million participants. Changes in the prevalence of underweight and total obesity, and to a lesser extent severe obesity, are largely driven by shifts in the distribution of BMI, with smaller contributions from changes in the shape of the distribution. In East and Southeast Asia and sub-Saharan Africa, the underweight tail of the BMI distribution was left behind as the distribution shifted. There is a need for policies that address all forms of malnutrition by making healthy foods accessible and affordable, while restricting unhealthy foods through fiscal and regulatory restrictions

Spatial Spillovers of Foreign Direct Investment: The Case of Vietnam Spatial Spillovers of Foreign Direct Investment: The Case of Vietnam Spatial Spillovers of Foreign Direct Investment: The Case of Vietnam Spatial Spillovers of Foreign Direct Investment:

Abstract In an effort to unlock the black box of mixed empirical evidence for productivity spillovers from foreign direct investment in host countries, this paper, using the case of Vietnam, examined the role of geographical proximity and inter firm interaction in determining productivity spillovers of FDI. The spatial productivity model specified based on the empirical spillovers literature and spatial econometric model. This paper confirms negative effect of horizontal spillovers. The distance and interaction are confirmed to be two determinants of the significance of spillover effects. The paper finds the positive backward and negative forward spillovers. Indirect effect (or the inter-regional spillovers) is found about twice to four times higher than the direct effect (or the intra-regional spillovers) but such kind of indirect effect is quickly attenuated for a certain distance. The paper also finds the evidence of the effect arising from the social interaction among local firms in productivity spillovers. The testing results suggest that local firm's productivity is substantially driven by the agglomeration effect and the presence of interand intra-regional FDI

Spatial spillover effects from foreign direct investment in Vietnam

This paper investigates the role of inter-firm interaction and geographical proximity in the determination of productivity spillover effects from foreign to domestic firms. We developed an estimation approach using the Spatial Durbin model and applied this to a firm-level dataset from Vietnam from 2000-2005. We found that productivity spillovers diminished when the distance between foreign and firms increase and that interactions among local firms amplify the spillovers. Within short distances, the presence of foreign firms creates positive backward, negative forward and horizontal spillovers. Based on the findings, several implications are extracted regarding promotion policy for FDI in developing countries