Assessing the impacts of crop production on climate change: An in-depth analysis of long-term determinants and policy implications.

This research investigates the long-term determinants of carbon emissions in three diverse regions-Europe and Central Asia (ECA), Sub-Saharan Africa (SSA), and the Middle East and North Africa (MENA)-spanning 1990 to 2020. Utilizing advanced econometric models and analyses, including the Regularized Common Correlated Effects Estimator (rCCE), Common Correlated Effects Estimator (CCE), and Mean-Group (MG) approach, the study explores the intricate relationships between carbon emissions, crop production, emissions per agricultural production, energy consumption, renewable energy consumption, per capita GDP, and population. Region-specific nuances are uncovered, highlighting the varying dynamics: ECA exhibits intricate and non-significant relationships, SSA showcases significant effects of population dynamics and green technology adoption, and the MENA region reveals a nuanced interplay between emissions per agricultural production.The findings underscore the universal efficacy of green technology adoption for mitigation. Strategies for mitigating carbon emissions in the agricultural sector require diversified energy transition approaches, emphasizing efficiency enhancements, green technology adoption, and tailored population management strategies based on regional intricacies. Counterfactual simulations indicate the potential efficacy of strategic measures targeting crop production to reduce carbon emissions, while acknowledging the nuanced relationship between economic growth and emissions. Policymakers are urged to recognize the persistence in emission patterns, emphasizing the importance of targeted interventions to transition towards more sustainable trajectories. Overall, the research provides essential insights for crafting effective policies at both regional and global scales to address the complexities of climate change mitigation in the agricultural sector.

The dynamics of carbon emissions, energy, income, and life expectancy: Regional comparative analysis.

This paper examines the linear effects of economic growth on carbon emissions and their impact on mortality and morbidity rates in specific regions sub-Sahara Africa, Middle-East and North Africa, Europe and Central Asia (SSA, MENA, ECA). By analyzing longitudinal data for 82 panels over 30 years, we investigate the relationships between energy usage, per capita GDP, life expectancy, and carbon emissions. Our estimation results show positive correlations between energy use, carbon production, and life expectancy in both the combined sample and individual regions. However, death rate has a negative relationship with carbon production in the combined sample, MENA, and SSA regions. Per capita GDP positively influences carbon emissions and life expectancy in the combined sample and ECA, MENA, and SSA regions. We also identify asymmetric relationships between per capita GDP and carbon production, with evidence supporting the Environmental Kuznets Curve hypothesis for the combined and ECA samples, and an N-trajectory for SSA. These findings emphasize the importance of region-specific approaches to sustainable development, considering the unique environmental and economic challenges each region faces. Policymakers should consider our research insights when designing policies to mitigate the negative impacts of economic progress on the environment.