Akademik Veri Yönetim Sistemi
3rd International World Energy Congress, Kayseri, Türkiye, 4 - 05 Aralık 2023, ss.153-165
The agricultural
sector involves intensive energy usage in various stages, including soil
cultivation, irrigation, harvesting, and product storage. Thus, planning the
energy use in agriculture efficiently is crucial for reducing costs, minimizing
environmental impacts, and ensuring the sustainability of agricultural
productivity. The aim of this study is to determine the impact of energy
consumption and greenhouse gas emissions on growth in Turkey within the
agricultural sector between 1998 and 2020. The agricultural gross domestic product data
has been used to represent the variable of economic growth in the agricultural
sector. Data that represent total energy consumption in the agricultural
sector, measured in tera joules for energy consumption, and data indicating
total greenhouse gas emissions in the agricultural sector, measured in million
tons of CO2 equivalent for carbon emissions, have been utilized. The results of
the unit root tests have indicated that the variables used in the model have
been stationary at different levels which is I(0) and I(1). Thus, the
Autoregressive Distributed Lag Bound Test approach, which has been employed and
provides consistent and unbiased results in small samples for series with
different levels of stationarity, has been used to examine short and long-term
relationships between variables. Moreover, the long term coefficient results
indicate that a 1% increase in energy consumption in the agricultural sector
corresponds to a 0.24% increase in the agricultural gross domestic product
value. Furthermore, the vector error correction model coefficient, which has been
calculated as 0.62, indicates that short-term imbalances have been corrected
within 1.67 periods. Also, greenhouse gas emissions from the agricultural
sector have had a positive and significant impact on agricultural gross
domestic product. It has been considered that to reduction of fossil fuel use
and increase in renewable energy sources, increase in incentives for the use of
high-energy efficiency smart agricultural technologies.