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This study aims to analyze the determinants and patterns of the on-farm diversification among the agricultural producers in Algeria. The study uses a sample of agricultural producers randomly and proportionally selected from Northern Algeria and the data obtained was analyzed using three adequate regression models. Results indicate that, on the technical aspects, the farmers who have larger farm size, access to market information, more full land employment and an irrigation system, those who own machinery and livestock holdings are more likely to diversify, whereas those with off-farm income are likely to specialize. In order to promote crop diversification, providing farm machinery through easy loans and improving access to market information and irrigation technologies should be given attention. Farmer’s experience and his age are the major socio-economic determinants of farm diversification. The implication is drawn for provision of enabling socio-economic environment for the establishment of more diversification.

Cereal crops hold a significant position in Algerian household consumption patterns, with specific implications for public policy priorities. Unfortunately, they are highly susceptible to the influence of climatic conditions. This study aims to empirically examine the relationship between cereal crop yields and climate change factors using time series data spanning from 1961 to 2021 in Algeria. The study employs the nonlinear autoregressive distributed lag model with asymmetric error correction component and the Granger-causality approach. The outcomes of cointegration tests confirm the existence of both long-run and short-run equilibrium among cereal yield, the area under cereal crops, temperature, precipitation, and carbon emissions. Long-run estimates reveal that shocks in area and positive shocks in precipitation have a positive impact on cereal crop yield, while shocks in temperature and carbon emissions have a negative impact, while negative shocks in precipitation also negatively affect cereal crop yield. In the short run, it appears that shocks in area, temperature, and precipitation positively impact cereal crop yield, while shocks in carbon emissions significantly reduce yield. Additionally, both CUSUM tests and overall fitness tests confirm the model's stability. The outcomes of pairwise Granger-causality test indicate the presence of both unidirectional and bidirectional causal relationships among the underlying variables. Based on the study's findings, several public policy implications are highlighted. Primarily, there is an urgent need to promote the adoption of water-saving irrigation systems, improve existing infrastructure through increased public investment, and develop climate-resilient cereal varieties to address the challenges posed by climate change. [ABSTRACT FROM AUTHOR]

This paper investigates the nature of farm size distribution in Algerian agriculture, where cultivated area of the farm is used as a measure of farm size. Using two comprehensive datasets of the Algerian Ministry of Agriculture (20,810 palm date farms and 3,296 industrial tomato growers). Results of kernel density estimation provide evidence on the bimodality of the farm size distribution. The study attempts to explain this by the technological features of farming systems, suggesting that the dual nature (traditional vs. modern) of farming system in Algeria shapes the farm size distributions [ABSTRACT FROM AUTHOR]