Spatio-temporal investigation of economic growth and environmental quality nexus in EU countries: New guidelines regarding green goods and eco-tax.

The issue of environmental degradation has become pertinent and the call for carbon neutrality has intensified in recent years. Achieving this target will require countries to meet the conditions of the sustainable development goals. To do this, the study applied spatiotemporal modelling and the generalized method of moments (GMM) to examine the nexus between economic growth (EG) and the load capacity factor (LCF) through environmental goods (ENG) and environmental tax (ENT) among European Union (EU) nations from 1995 to 2018. The findings demonstrate that spatial dependence leads to a change in EG and LCF that impacts the EG and LCF of the neighbouring countries. The study also found that there is a significant positive and bidirectional relationship between economic growth and load capacity factor. Moreover, the study revealed that a positive effect of ENG, ENT, REN and Human Capital Index (HCI) on EG, with a reducing effect from natural resource rents (NRR). Finally, HCI improves environmental quality, while ENG, ENT, REN and NRR degrade the environment. Our findings justify the need for EU countries and other developed nations to implement policies that will help achieve a green economic transformation.

Exploring the impact of economic growth on environmental pollution in South American countries: how does renewable energy and globalization matter?

Most emerging economies and the South American Countries are no exception to the negative consequences of trade-off between economic growth and environmental sustainability decisions. This study draws strength from the United Nations Sustainable Development Goals (UN-SDGs-7, 11, 12, and 13). Therefore, this study examines the environmental nexus between economic growth, globalization, renewable, and non-renewable energy, in South America from 1995 to 2020. We deployed the pooled mean group (PMG), mean group (MG), and dynamic fixed effects (DFE). Cross-sectional dependence, panel unit root, and cointegration tests were performed. Finally, we used the Dumitrescu and Hurlin test of causality to determine the long-run association between variables. The finding indicates that while environmental pollution increases with increasing economic growth, it decreases with increasing renewable energy both in the short and long term. Whereas economic globalization positively affects environmental pollution in the long term, social globalization and the moderation effect between political globalization and renewable energy improves environmental quality in the long run. Finally, a bidirectional causality was found between economic growth and environmental pollution, with a unidirectional causality running from economic, political, and social globalization, renewable, and non-renewable energy to environmental pollution. Given these findings, we discussed potential policy measures.

A new face of food security: A global perspective of the COVID-19 pandemic.

COVID-19 has impacted the world economy and food system in many aspects. We conducted a comprehensive examination of global food security during the COVID-19 pandemic by considering the food security index and its four key pillars (affordability, availability, quality and safety, and natural resources and resilience) for 102 countries. In addition to the fixed effect panel data estimator, the Method of Moments Quantile regression is useful for disaggregating the impact of the COVID-19 pandemic in relation to inflation, economic growth, urbanization, and agricultural land on global food security among countries with different levels of food security. We found that COVID-19 has negatively affected food security globally, especially in countries with a low food security level. The effect of income per capita and urbanization rate on the food security index is positive and statistically significant across all quantiles. Inflation rate and agricultural land, however, adversely affect food security, and this effect is stronger for countries with lower levels of food security. The results of affordability, availability, quality, and safety, and natural resources and resilience models provide meaningful implications for governments and policymakers to build resilience in food systems and to be better prepared for future crises and disruptions in the food supply.

Quantifying impacts of internships in an international agriculture degree program.

The completion of a meaningful, hands-on international experience is a critical and required component of the Master of International Agricultural degree Program (MIAP) at Oklahoma State University. Understanding the impacts of the international experience/internship is important in designing a curriculum that well-prepares students for their personal, social, academic, and future professional life. Hence, the objective of this study is to evaluate the MIAP students' international experiences and to determine the factors that impact international experience outcomes. The benefits of international experiences are divided into five outcome areas that include personal, interpersonal, academic, employment, and civic impacts. The data is collected through an online survey of MIAP students. The variance based partial least squares structural equation modeling is used to develop three separate models with the goal of statistically measuring academic, employment, and civic impacts. The results of this study show that interns believe that international experience had enhanced each of their abilities. The findings of all three models show that the Humphreys travel grant has a statistically significant effect on interpersonal impacts. Additionally, the length of internship has a statistically significant association with personal impact in all three models, while it has a statistically positive indirect impact on academic, employment, and civic impact models, which indicates the full mediation effect. In addition, the number of hours worked weekly during the internship is found to have a significant positive relationship with employment impacts.