Univariate Modelling of Energy Consumption in Turkish Agriculture
Küçük Resim Yok
Tarih
2014
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Taylor & Francis Inc
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
The main objective of this study is to estimate future energy consumption in Turkish agriculture. To meet this objective, univariate time-series analysis was used. Annual time series data for diesel consumption in the Turkish agricultural sector for 1970-2006 are used in an autoregressive integrated moving average (ARIMA) model. The ARIMA model was determined to be (8,1,13). According to the model's results, diesel consumption is predicted to be over 4 million tonnes in 2020. The average growth rate of diesel consumption is 2.17% per year for the coming years in the agricultural sector.
Açıklama
Anahtar Kelimeler
ARIMA, Box Jenkins method, econometric modelling, forecasting, fuel consumption
Kaynak
Energy Sources Part B-Economics Planning and Policy
WoS Q Değeri
Q4
Scopus Q Değeri
N/A
Cilt
9
Sayı
3
