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Food prices in Nigeria have experienced significant increases due to rising fuel costs, unstable exchange rates, and socio-political challenges. This study examines the effects of fuel prices and exchange rate changes on food inflation using a Structural Vector Autoregressive (SVAR) model, which provides insights into both immediate and long-term impacts. Monthly data from June 2015 to May 2024 shows a stable long-term relationship between food inflation, energy prices, and exchange rates, making it clear that these factors are key drivers of inflationary trends in Nigeria. Our findings reveal that increases in fuel prices, particularly for petrol and diesel, drive up the cost of food production and transportation, with noticeable impacts appearing within three to six months. Similarly, shifts in exchange rates raise the cost of imported foods, with effects becoming evident in about two to ten months. Recent economic reforms, such as the fuel subsidy removal in 2023, have intensified inflationary pressures, exposing structural weaknesses in Nigeria’s food supply chain, including poor infrastructure and insecurity. The study recommended a direct approach to tackle food inflation, we recommend the creation of a Food Price Stabilization Fund (FPSF), which would help manage extreme price volatility caused by energy price fluctuations and exchange rate changes among others.

The study was conducted to examine the nature of vegetable price variation from farmers to different traders through different marketing channels and identified some factors that were causes for vegetable price variation. On the basis of vegetable trader, five marketing channels identified which responsible for transporting vegetables from farmer to consumer. This study pointed out that the maximum price variation chain is Farmer ? Wholesaler ? Agent ? Retailer ? Consumer. This study also explored that price variation has a positive relationship with the increase of trader’s number and several times price variation executed in retailers’ level. Sometimes new trader arrivals in retail level which depends on the nature of vegetable deterioration. The majority farmers and traders remarked that price variation is occurred due to high input cost, high transportation cost, and traditional marketing system

This study attempts to clarify and evaluate the factors that impact on cotton sector production in Cameroon and differentiate producers `behavior. A description of producers ‘behaviour is made in order to identify their main characteristics, which should shed light on the relationships between cotton textile production , the main producers` characteristics price and non-price variables. An inventory of ongoing sectoral agricultural policies is presented and suggestions are made for formulating alternative policies. The next section presents both a review of agricultural policies and the cotton sector in Cameroon. The third and fourth sections are literature review and cotton belt while the fifth presents the methodology. Discussion and interpretation of the empirical findings is followed by the conclusion and policy recommendations.