Rural Development and Dynamics of Enhancing Agricultural Productivity in Senegal: Challenges, Opportunities, and Policy Implications

Bonoua Faye, Hélène Véronique Marie Thérèse Faye, Guoming Du (), Yongfang Ma, Jeanne Colette Diéne, Edmée Mbaye, Liane Marie Thérèse Judith Faye, Yao Dinard Kouadio, Yuheng Li () and Henri Marcel Seck
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Bonoua Faye: School of Public Administration and Law, Northeast Agricultural University, Harbin 150030, China
Hélène Véronique Marie Thérèse Faye: School of Economics and Management, Northeast Agricultural University, Harbin 150030, China
Guoming Du: School of Public Administration and Law, Northeast Agricultural University, Harbin 150030, China
Yongfang Ma: School of Public Administration and Law, Northeast Agricultural University, Harbin 150030, China
Jeanne Colette Diéne: School of Economics and Management, Northeast Agricultural University, Harbin 150030, China
Edmée Mbaye: Department of Geography, Cheikh Anta Diop University, Dakar P.O. Box 5003, Senegal
Liane Marie Thérèse Judith Faye: Department of Social Sciences, UFR of Social and Environmental Sciences, Sine Saloum University El Hadji Ibrahima NIASS (USSEIN), Kaffrine Campus, Kaffrine 24600, Senegal
Yao Dinard Kouadio: Institute of Agropastoral Management, Peleforo GON COULIBALY University of Korhogo, Korhogo BP 1328, Côte d’Ivoire
Yuheng Li: School of Humanities and Law, Northeastern University, Shenyang 110169, China
Henri Marcel Seck: Department of Geography, UFR Sciences and Technologies, Assane Seck University, Ziguinchor P.O. Box 523, Senegal

World, 2025, vol. 6, issue 2, 1-21

Abstract: Understanding agricultural production dynamics is vital for addressing global food security in the least developed countries. In Senegal, the issues of rural development and enhancing agricultural productivity are still less understood. Using survey data (n = 600) from the Thiès region, this study aims to explore factors that influence agricultural productivity in Senegal. The multinomial probit model is estimated using maximum simulated likelihood (MSL) methods. This approach is necessary due to the presence of multiple-choice categories. The results highlight that young farmers aged 18–30 are less likely to achieve high production (>10 tons) compared to their older counterparts ( p < 0.01). In contrast, older farmers (31–60) report higher income stability ( p < 0.05). Education levels also impact production, with farmers having lower or upper secondary education being less likely to attain high production than illiterate farmers ( p < 0.05). Receiving subsidies reduces the likelihood of high production ( p < 0.01). Larger landholdings (>1 ha) correlate with lower production odds ( p < 0.01), suggesting diminishing returns. Gender disparities are evident, with male farmers being 45.6% more likely to report income declines ( p < 0.1). Marginal effects show that acquiring land through rental or purchase significantly boosts income ( p < 0.01), while traditional ploughing increases the sown area ( p < 0.01). Policymakers should enhance training in agriculture, improve subsidies, secure land tenure, and promote certified seeds to boost productivity. This study highlights the need for targeted policies on training, subsidies, land tenure, and sustainable practices to enhance Senegal’s agricultural productivity.

Keywords: rural revitalization; farm production; agricultural issues; new era of food and agriculture; poverty reduction; Senegal (search for similar items in EconPapers)
JEL-codes: G15 G17 G18 L21 L22 L25 L26 Q42 Q43 Q47 Q48 R51 R52 R58 (search for similar items in EconPapers)
Date: 2025
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