The European Union (EU) is committed to decarbonising its economy by 2050. To that end, significant reductions in greenhouse gases from the energy and agricultural sectors are of critical importance. However, while the EU member states each pursue a different climate strategy, all member states’ emissions are regulated by EU climate law. This paper investigates the factors explaining carbon dioxide (CO2) emissions in the 27 member countries, using fully modified least squares (FMOLS) and quantile regression models. Before estimations, panel unit root and cointegration tests have been used for the period 1990-2018. The applied model examines the impact of economic growth, energy intensity, renewable energy consumption and agricultural trade on carbon dioxide emissions. Estimates have shown that the intensification of energy stimulates carbon emissions. Economic growth indicates an increase in carbon emissions. The results reveal that agricultural trade decreases carbon dioxide emissions in the EU, highlighting that intra EU trade is more environmentally friendly. Finally, the impact of renewable energy is limited to contributing to climate mitigation goals by reducing emissions.

The global food system, from fertiliser production to food packaging, is responsible for approximately one-third of all humancaused greenhouse gas emissions. The ecological footprint captures the ecological assets that a population needs to produce, the natural resources it consumes, and to absorb its waste. The carbon footprint as the main component represents more than 50% of the total ecological footprint. Carbon footprint is said to be a widely accepted indicator of GHG intensity, originating from different economic activities. Due to its important role in raising awareness of global warming, scientists and policymakers also use it as a management tool for estimating environmental pollution. In contrast, the application of carbon footprint on the agricultural sector is still limited in the literature. The paper aims to explore what agriculture-specific factors influence the carbon footprint at a global level based on 1961-2013 data. The study employs feasible generalized least squares estimator along with panel unit root tests. Results show that carbon footprint is stimulated by economic development and agricultural production (arable land, agricultural machinery, fertilizer use), and in addition, agricultural exporting has a positive impact on the carbon footprint. By contrast, the growth of carbon footprint is negatively related to the higher share...