Energy consumption has become a necessity in today’s world, and economies in developing nations cannot thrive without it. Countries with less developed economies face the same challenges of achieving sustained economic growth as those with more advanced economies. Herein, we examine the environmental Kuznets curve (EKC) hypothesis by looking at the interplay between GDP growth, energy use, agricultural output, and the effects of carbon dioxide (CO2) emissions. From 1991 to 2016, we used panel and quantile regression analyses to compare emissions in nine developing countries with those in 13 developed countries. There is the beginning of a reverse U-shaped relationship between agricultural energy use and greenhouse gas emissions. As a result, the verified EKC hypothesis paves the way for a watershed moment in the progress of industrialized nations’ economies. The estimated results of agriculture have a favorable impact on CO2 emissions by 15.16 percent but a negative influence of 2.92 percent on CO2 emissions from using liquid fuels, leading to more severe environmental deterioration. Additionally, in developing countries, feed cropping, deforestation, biomass burning, and deep soil and cropping all have detrimental consequences on the ecosystem. There is a negative correlation between CO2 emissions and economic growth in developing countries and their energy consumption. Although the EKC hypothesis for CO2 emissions was rejected at lower quantiles, it was validated for Qatar, Canada, China, and other high-emitting economies according to the empirical estimation of quantile regression. The findings of this study have important policy implications for reducing carbon dioxide emissions, suggesting that policymakers account for the stage of economic growth currently being experienced when formulating measures to cut energy use and protect the environment. Possible solutions to mitigate environmental degradation include enactment of policies to reduce energy consumption.

This research investigates the nexus existing between agricultural productivity and CO2 emissions under the moderating effect of transportation within the context of China. The data for this study are drawn from the World Bank and cover the period 1991–2019. The data is analyzed using an autoregressive distributed lag approach (ARDL). Agricultural productivity is measured in terms of crop and livestock production. The goal of this research is to make some contributions, as crop production has a negative impact on carbon dioxide emissions in the long and short run. Carbon dioxide emissions are positively influenced by livestock production in the long run, but negatively in the short run. As for the moderation effect, the results indicate that transportation significantly impacts agricultural productivity and CO2 in both the long and short term. The study provides in-depth insights to policy makers for designing more suitable policies regarding the necessity of decreasing CO2 emissions. In addition to discussing the crucial implications, future directions are also discussed.