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This study examines the impact of renewable energy consumption on the added value of the agricultural sector in Algeria from 1990 to 2022, utilizing the ARDL and cointegration approach. The results reveal a cointegration between the variables; however, the positive and insignificant error correction coefficient indicates a lack of short-term adjustment, suggesting a long-term imbalance. The study highlights the significance of sustainable energy practices in improving agricultural productivity.

This study aims to forecast livestock using the Box-Jenkins methodology, specifically applying it to a time series of annual livestock numbers in Algeria from 1990 to 2021. It concluded with the estimation of a forecasting model based on the Autoregressive Integrated Moving Average (ARIMA) approach, specifically ARIMA(0,1,1), which demonstrated good accuracy with a Mean Absolute Percentage Error (MAPE) of 10.40%. The forecast indicates an increase in livestock numbers during the period from 2022 to 2025.

This study aims to predict the Index of the Net Barter Exchange Rate in Algeria during the period from 1980 to 2025, and to achieve this objective, light was shed on the dimension of concepts on barter trade in addition to mentioning some statistics recorded during the study period, but by Norm and relying on the box -Jenkins model, we found that the studied series is unstable at the origin, which determined the nature of the model(ARIMA), the best forecasting model after the weighting process is (4.1.4), because for the results, we have found that the Index of the net barter exchange rate in Algeria over the next five (05) years is known to be down compared to the original Prediction series (pre-forecast).