The study examined the determinants of technical efficiency among lowland rice farmers in Enugu State, Nigeria. Primary data were sourced from rice producers through the use of well designed questionnaires. The study was conducted in four agricultural zones of Enugu State, during the 2017/2018 cropping season. Multistage and simple random sampling technique was employed to select 300 sampled rice farmers for the study.

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Background: Obesity and the associated non-communicable diseases contribute significantly to the disease burden in Tanzania. Obesity can be attributed to the consumption of Sugar Sweetened Beverages (SSB) due to their high sugar content that leads to high caloric intakes. This study estimates the effect of SSB tax on the prevalence of obesity.

AbstractReducing the use of chemical pesticide while preserving crop yield is a practical strategy that makes agricultural production economically, socially and environmentally sustainable. Although the adoption of green pest control practices can help achieve such a goal, its adoption rate remains quite low. This study explores whether membership in agricultural cooperatives improves smallholder farmers' adoption of green pest control practices, utilising farm‐level data surveyed from rice farmers in China.

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This study adopted a content analysis to describe the prominence given to agricultural information in print media using four selected Newspapers.  Specifically, the study determined the space allotted; the number; and prominence given to agricultural information in Nigerian newspapers. Stratified  and purposive sampling procedures were used to select a sample of 384 editions of newspapers for analysis. Data were collected from hard copies of the  selected Newspapers and were analysed using percentages, Kruskal Wallis (H) test and Pearson Product Moment correlation.

The study assessed the determinants of communication channel use among rice value chain actors in Nasarawa and Benue States, Nigeria. A multistage  sampling procedure was used to select six hundred (600) respondents. Data were collected using a semi-structured interview schedule and were  analyzed using a binary logistic regression model with the forced entry method.

The study assessed perceived factors influencing farmers’ preference for rice varieties grown in Enugu State, Nigeria. A structured interview schedule was used to obtain information from 150 rice farmers. Data collected were analysed using frequency counts and percentages. The major rice varieties grown by the farmers were Faro 44 (60.7%), R8 (28.7%) and Mass II (20.7%).