Assessment of the determinants of agricultural greenhouse gas emissions in selected Organisation for Economic Co-operation and Development countries within the framework of the environmental Kuznets curve hypothesis.
Background: This study examines the relationship between agricultural greenhouse gas (GHG) emissions, economic growth (EG), and financial development (FD) within the framework of the environmental Kuznets curve (EKC) hypothesis in Organisation for Economic Co-operation and Development (OECD) countries. Using data from 2000 to 2020, the panel data analysis evaluates variables including EG, FD, foreign direct investment (FDI), agricultural energy consumption (EC), population (POP), agricultural land (LAND), and environmental policy stringency (EPS).
Results: Long-run elasticity estimates obtained using bias-adjusted ordinary least squares (BA-OLS) demonstrate an inverted U-shaped relationship between EG, FD, and GHG emissions. A panel Fisher test reveals causal patterns among the variables. The findings indicate that EG and FD initially increased GHG emissions by boosting investments in the agricultural sector but emissions declined once a certain income or development level was reached, supporting the EKC hypothesis. Stricter environmental policies were found to be effective in reducing emissions. Population growth was also found to reduce emissions by enhancing agricultural productivity, and the expansion of LAND increased emissions. One of the important findings of the study is that the interactions between environmental policies, EG, and FD can reduce GHG emissions significantly.
期刊介绍:
The Journal of the Science of Food and Agriculture publishes peer-reviewed original research, reviews, mini-reviews, perspectives and spotlights in these areas, with particular emphasis on interdisciplinary studies at the agriculture/ food interface.
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