Adoption of Climate Smart Agricultural Practices by Rice Farmers in Akwa Ibom State, Nigeria

Abstract

The rise in population amidst climate change has exerted undue pressure on food production and security. Rice production has also been adversely affected by rising temperature and varying rainfall resulting in reduced productivity. In order to cope with the negative impact of climate change events on rice production, farmers need strengthen and improve their adaptive capacity. Therefore, a study was conducted to empirically estimate the factors affecting the adoption of Climate Smart Agricultural ( CSA) practices in rice production. Multistage sampling procedure was employed to select the representative rice farmers for the study. With the aid of oral interview and questionnaires, information were elicited from 90 farmers. Data were analyzed using descriptive statistical tools and univariate probit model. Results revealed that majority ( 62.5 percent) of rice farmers were women, 75 percent were married, 67.5 percent were within economically active age and 85 percent had post primary education. Findings further showed that education level of farmers, family size, farm income and access to information on climate change were positively and directly related to rice farmers willingness to adopt climate smart agricultural practices at 1 percent and 5 percent levels of significance respectively. Result also showed that about 55.85 percent of rice farmers in the study location received information on climate change from village meetings, friends, relatives and other farmers. Agricultural policies that aimed at increasing incomes of rice farmers and creating awareness on climate change will be rational decision.

Farmers’ Preference and Willingness to Pay for Climate-Smart Rice Varieties in Uzo-Uwani Local Government Area of Enugu State, Nigeria

“…Majority (92.5%) of the farmers were married. This result conforms to that of Etim and Ndaeyo (2020), who found that majority (75%) of rice farmers were married. The average number of years spent in school was 8.7 years.…”

Socioeconomic Factors Influencing Uptake of Regenerative Agriculture Technologies in the Dry-lands of Embu County, Kenya

“…This result corroborates that of Ojo et al, (2021) which pointed out that marital status negatively influenced the adoption of soil water conservation technologies as large families may be resource constrained. The finding, however, contradicts those of Etim and Ndaeyo (2020) who noted that marriage is a means of generating family labour and most women and children participate in farming. Furthermore, marriage increases concern for household welfare and food security therefore, use of new technologies was positively related to marital status.…”

Households’ Decision to Participate in Cooperative Organizations: Evidence from Farmers in Akwa Ibom State, Southern Nigeria

“…The dichotomous nature of the dependent variable necessitated the use of probit regression model to quantitatively estimate the factors that influence the decision of farmers to participate in cooperative organizations. The probit model is suitable for analyzing decision that have dichotomous values (Etim et al,2017;Etim et al,2020c;Etim and Ndaeyo, 2020;Etim and Udoh,2020). Its ability to resolve the problem of heteroscedasticity and also limit the utility value of the decision to join variable to lie between 0 and 1, makes it preferable to the logit model (Asante et al, 2011;Martey et al,2014).…”