The State of Food and Agriculture

Low adoption of modern agricultural technologies amongst farmers in Nigeria has been identified as one of the main reasons for the low agricultural productivity and increase in poverty level. The general objective of this study is to examine the welfare impact of farm households adoption of improved cassava varieties in Southwestern (SW) Nigeria using poverty as an indicator. It utilizes cross-sectional farm household level data collected in 2013 from a randomly selected sample of 312 cassava producing households (186 in Ogun State and 126 in Osun State). The data obtained were subjected to descriptive and inferential statistical analysis such as Foster, Greer and Thorbecke (FGT) poverty measure and Logit regression model. The results revealed that adoption of improved cassava varieties increases the annual income and the annual consumption expenditure of producing households’ thus increasing welfare in the SW Nigeria. An analysis of the determinants of adoption with logistic regression model showed that access to improved cassava cuttings within the villages, use of radio, farming experience and farming as a major occupation are significant factors influencing adoption of improved cassava varieties in the study area. In order to achieve the much desired poverty reduction and generate an improvement in farming households’ welfare in SW Nigeria, efforts should be intensified in ensuring that farmers have access to adequate improved cassava cuttings at the right time and place. All programs, strategies and policies that would promote farmers’ education on the technology and consequently lead to improved adoption should be pursued.

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Welfare impact of adoption of improved cassava varieties by rural households in South Western Nigeria

Determinants of agricultural land management practices among smallholder farmers in the Wanka watershed, northwestern highlands of EthiopiaI

Laying the ground for the agricultural sector to derive development is critical and urgent in relieving majority of the poor out of poverty trap. This in turn calls the modernization of the agricul...

https://www.tandfonline.com/doi/pdf/10.1080/23322039.2021.1956774

Perception and determinants of agricultural technology adoption in North Shoa Zone, Amhara Regional State, Ethiopia

This study examines the impact of improved rice varieties on household wellbeing measured by headcount poverty reduction and household total annual consumption across different agroecological regions of Nepal by using cross-sectional data of Nepal living standard survey III. The propensity score matching method was used to evaluate the impact on wellbeing of adopter and non-adopter farmers. The results indicate that adoption of improved rice varieties increased the adopter households’ annual agricultural earning and consumption expenditure by almost US$ 153–185 and US$ 643–907, respectively. Adoption of rice varieties has statistically significant and positive welfare effects on large and small farmers compared to the medium farmers. Large and small farmers on the other hand tend to have more impact on household expenditure and agricultural earning as compared to the medium farmers. Technological adoption has statistically significant and negative impact on poverty among the large farmers. We conclude that an investment on breeding research and wider dissemination of improved crop varieties will help to enhance household wellbeing and reduce poverty of the farmers.

Adoption of Improved Rice Varieties in Nepal: Impact on Household Wellbeing

This study analyzed factors affecting modern agricultural technology adoption by farmers and the impact of technology adoption decision on the welfare of households in the study area. The data used for the study were obtained from 145 randomly selected sample households in the study area. Binary logit model was employed to analyze the determinants of farmers’ decisions to adopt modern technologies. Moreover, the average effect of adoption on household incomes and expenditure were estimated by using propensity score matching method. The result of the logistic regression showed that household heads’ education level, farm size, credit accessibility, perception of farmers about cost of the inputs and off-farm income positively and significantly affected the farm households’ adoption decision; while family size affected their decision negatively and significantly. The result of the propensity score matching estimation showed that the average income and consumption expenditure of adopters are greater than that of non-adopters. Based on these findings it is recommended that the zonal and the woreda leaders extension agents farm and education experts, policy makers and other development oriented organizations have to plan in such a way that the farm households in the study area will obtain sufficient education, credit accessibilities and also have to train farmers to make them understand the benefits obtained from adopting the new technologies. These bodies have also to arrange policy issues that improve farm labour participation of household members and also to arrange the ways in which farmers obtain means of income outside farming activities. Keywords: Agriculture, Farm household, Technology Adoption Logit, Propensity Score Match

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Urgessa Tilahun

Papers

Determinants and Impacts of Modern Agricultural Technology Adoption in West Wollega: The Case of Gulliso District