An Understanding of Education in Supporting Cotton Production: An Empirical Study in Benin, West Africa

Iskid Jacquet, Jieyong Wang, Jianjun Zhang, Ke Wang and Sen Liang
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Iskid Jacquet: School of Land Science and Technology, China University of Geosciences, Beijing 100083, China
Jieyong Wang: Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
Jianjun Zhang: School of Land Science and Technology, China University of Geosciences, Beijing 100083, China
Ke Wang: School of Land Science and Technology, China University of Geosciences, Beijing 100083, China
Sen Liang: School of Land Science and Technology, China University of Geosciences, Beijing 100083, China

Agriculture, 2022, vol. 12, issue 6, 1-16

Abstract: Benin is an underdeveloped country whose economy is dependent on agriculture, principally cotton production. Kandi is a community in the country’s northeast region, and is regarded as one of Benin’s top four cotton-producing communities. This community has a deficient level of education. The present paper aimed to investigate whether education could contribute to increasing cotton production in Kandi. A questionnaire was distributed to educated, uneducated, and organic farmers in the research area to achieve this goal. A linear regression strategy was applied, with the key components of the research areas being the usage of agricultural chemical inputs (pesticides and fertilizers), miscellaneous factors, and the level of education of farmers. The data collected were utilized to compare the different groups polled (educated and uneducated farmers). Organic farmers are used in this paper as a model of suitable agriculture development in the study area. The key finding is that primary education affects agricultural production. Solutions are presented with a focus on organic farmers.

Keywords: education; farmer; cotton production; Benin (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2022
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