The roles of organic farming, renewable energy, and corruption on biodiversity crisis: a European perspective.

The loss of biodiversity has profound implications for nature's contributions to people and their health. This study intends to examine the factors responsible for biodiversity loss as well as the coping mechanisms to address this crisis in the context of 35 European economies covering the 2009-2018 period. The study utilises both the static and dynamic panel estimation techniques to examine the above issue. Specifically, the study applied Driscoll and Kraay (1998a), Driscoll and Kraay (Rev Econ Stat 80:549-560, 1998b) and Panel Corrected Standard Approach (PCSE) for the static panel models. As for dynamic panel models, the study employs linear dynamic panel model by Arrelano and Bond (Rev Econ Stud 58:277-297, 1991) and Arrelano and Bover (J Econom 68:29-51, 1995)/Blundell and Bond (J Econom 87:115-143, 1998) system generalised methods of moments (GMM). Morandeover for robustness purposes, fixed and random effect models are also applied. The findings indicate that renewable energy use increases biodiversity crisis whereas organic farming is beneficial for biodiversity preservation in Europe. Corruption and gender gap were found to increase the biodiversity crisis. The evidence also suggests a positive and significant effect of forest area, e-governance and social progress on biodiversity. Finally, the study provides insightful implications for stakeholders and practitioners associated with energy and biodiversity conservation in Europe.

Does globalization and energy usage influence carbon emissions in South Asia? An empirical revisit of the debate.

The 2030 United Nations Sustainable Development Goal (SDG) 13 agenda hinges on attaining a sustainable environment with the need to "take urgent action to combat climate change and its impacts". Hence, this study empirically revisits the debate on the effect of nonrenewable energy and globalization on carbon emissions within the framework of the Kuznets hypothesis using an unbalanced panel data from seven South Asian countries (Bangladesh, Bhutan, India, Maldives, Nepal, Pakistan, and Sri Lanka) covering 1980-2019. The variables of interest are carbon emissions measured in metric tons per capita, energy use measured as kg of oil equivalent per capita, and globalization index. To address five main objectives, we deploy four techniques: panel-corrected standard errors (PCSE), feasible generalized least squares (FGLS), quantile regression (QR), and fully modified ordinary least squares (FMOLS). For the most part, the findings reveal that the (1) inverted U-shaped energy-Kuznets curve holds; (2) U-shaped globalization-Kuznets curve is evident; (3) inverted U-shaped turning points for nonrenewable energy are 496.03 and 640.84, while for globalization are 38.83 and 39.04, respectively; (4) globalization-emission relationship indicates a U-shaped relationship at the median and 75th quantile; and (5) inverted U-shaped energy-Kuznets holds in Pakistan but a U-shaped nexus prevails in Nepal and Sri Lanka; inverted U-shaped globalization-Kuznets holds in Bangladesh and Sri Lanka, but U-shaped nexus is evident in Bhutan, Maldives, and Nepal. Deductively, our results show that South Asia countries (at early stage of development) are faced with the hazardous substance that deteriorates human health. Moreover, the non-linear square term of the nonrenewable energy-emissions relationship is negative, which validates the inverted U-shaped EKC theory. Overall, the effect of energy and globalization on carbon emissions is opposite while the consistency at the 75th quantile result indicates that countries with intense globalization are prone to environmental degradation.