Risk Attitude of Monocrop and Intercrop Farmers in Kebbi State, Nigeria

The research investigated the risk attitude, of farmers in Kebbi State, Nigeria, with the aim of generating reliable information on the influence of risk attitudes of the decision-making behaviour of farmers. Agricultural production is highly characterized by risks for this reason, farmers’ attitudes towards risk is imperative in understanding their behaviour towards the adoption of new technology and managerial decisions. The technique applied in order to achieve the objectives of the study was Experimental Gambling Approach. Data to conduct the research was obtained mainly from primary sources through a questionnaire survey of 256 farmers, comprising 98 monocroppers and 158 intercroppers. The results from the study revealed that all the farmers exhibit some level of risk aversion.  The intercroppers were statistically significantly more risk-averse than the monocroppers.  Risk attitude influences the decisions farmers make in the production process and should be considered when formulating agricultural policies. Keywords: Risk attitude, monocroppers, intercroppers and experimental gambling approach.

Dynamic Relationship between Vulnerability to Climate Change, Livelihood Diversification, Perception on Climate Change and Income of the Farmers in North Central Nigeria

Aims: Although a number of researchers have outlined the strategies farmers adopt to ensure stability of family income yet literature provides less understanding on the dynamic relationship between vulnerability to climate change, livelihood diversification, perception on climate change and income of the farmers. It is therefore the aim of this study to establish the relationship between these concepts. Study Design: Original research. Place and Duration of Study: The study was conducted in North Central Nigeria in 2019. Methodology: Multi-stage sampling technique was employed in the collection of primary data for this study. In the first stage, two (2) States were randomly selected from North Central Nigeria. In the second stage, five (5) Local Government Areas (LGAs) were randomly selected from the selected States, giving a total of ten (10) LGAs. In the third stage, sampling of farm households in each community were determined proportionately using Krejcie and Morgan (1970) formula. Data were collected from 483 farm households via questionnaire administered by trained enumerators. The data were analyzed using adaptive capacity index, vulnerability index and seemingly unrelated regression. Results: Result of the seemingly unrelated regression revealed that increase in the number of livelihood activities and income of the farmer reduces vulnerability to climate change. More so, increase in the income of the farmer increases the number of livelihood activities the farmer engaged in and also increases the perception of the farmer on climate change. Conclusion: farmers should diversify their sources of livelihood so as to reduce their vulnerability and improve resilience to climate change. The level of literacy among farm households and availability of social amenities should be looked into when formulating policies and developmental issues as they reduces vulnerability to climate change. Financial institutions should help facilitate access to credit by farmers so as to stimulate the adoption of climate smart practices

Sustainable Food Supply: The Interplay between Population Growth and Land Productivity Changes as a Pathway to 2030 and Beyond for Nigeria

Context and Background: Sustainable food supply is a critical global challenge, particularly in developing countries like Nigeria, where rapid population growth and limited land resources create a complex interplay with far-reaching implications. Thus, there will be a need to increase food production to keep pace with the population increase. Goal and Objectives: This study seeks to analyse the interplay between population growth and land productivity changes in Nigeria as a pathway towards achieving sustainable food supply by 2030 and beyond, in line with Goal 2 of the 2030 Sustainable Development Goals (SDGs) which is aimed at “ending hunger, achieving food security, improving nutrition, and promoting sustainable agriculture. Methodology: Data on land productivity and Nigeria's population and Population growth for 1961-2022 was sourced from the Economic Research Service of the United States Department of Agriculture (ERS-USDA, 2023). The data was analysed using descriptive statistics such as mean; standard errors and graphs; the Autoregressive Integrated Moving Average (ARIMA) was used to explain the interplay between population growth and land productivity changes in Nigeria. Results: The results of the population estimates revealed that the model successfully converged and significantly (p<0) explained 98.3% of the variance of the endogenous variable that is, the population at an intercept of -2500.7. Of the hypothesized variables, year (1.212), cropland (9.14E-4), irrigated (0.283), and pasture (0.003). These findings imply that the future population would increase in each period until the series becomes explosive because, the coefficient of the lagged variable of population is positive and greater than 1, which is in contrast with the assumptions of the ARIMA model which should be less than 1. Thus, the study recommends adopting precision agriculture techniques such as GPS mapping, soil analysis, crop health monitoring, and automated irrigation to maximize crop yields, reduce costs, and transform farming practices in Nigeria