Abstract:

In recent years, the academic community has placed a lot of emphasis on the difficulties brought on by climate change in numerous sectors around the world and the solutions that have been proposed. In this direction, time series analysis based on the 1996–2019 data of the European Union was used to analyze the impact of greenhouse gas emissions, one of the key markers of climate change, on labor productivity in agriculture. The analyses conducted revealed that agricultural labor productivity and greenhouse gas emissions are cointegrated, that is, have a long-term relationship, and that there is a bidirectional causality relationship between the variables. With the impact-response analysis carried out within the scope of the analysis, it was observed that the response of labor productivity in agriculture to an impact caused by greenhouse gas emissions changed in a decreasing rate over time, but did not converge to zero during the analysis process. Furthermore, it was discovered that an effect on agricultural labor productivity caused a negative reaction in greenhouse gas emissions, and this reaction did not converge to zero over the 24-year period studied, indicating that it was continuous. Finally, as a result of the variance decomposition, it was determined that the part of the changes in the variables caused by the other variable increased over time, but the changes were mostly caused by them.

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