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Volume 10, Issue 21, January - June 2024

Actors’ decision-making process on scaling evidence-based climate-resilience innovation in pig farming in Enugu North Senatorial District

Mbachu Chinecherem Alfred♦

Department of Agricultural Extension, University of Nigeria, Nsukka, Nigeria

♦Corresponding author
Department of Agricultural Extension, University of Nigeria, Nsukka, Nigeria

ABSTRACT

The study examined the decision-making process in scaling evidence-based climate-resilience innovation in pig farming among input suppliers and Ministry of Agriculture (MOA) actors in Enugu North Senatorial District. The study aims to ascertain the evidence-based climate-resilience innovations employed by these actors in scaling evidence-based climate-resilience innovation, the factors influencing decision-making, the key actors involved, and the challenges. The study adopted a multi-stage sampling procedure in selecting actors and employed purposive and random sampling methods. The findings highlight the significance of female representation, with women comprising 60% of MOA personnel and input suppliers. Notably, most respondents possess formal education, with 80.0% of extension personnel holding tertiary qualifications. Evidence-based climate-resilience innovations such as insulation, water management, efficient watering practices, and feed management strategies were widely implemented in pig farming. However, variations in adoption levels were observed across different innovations. The study identified vital decision-making drivers, emphasizing knowledge and skills availability, government policies, cost-effectiveness, and social acceptability. The study recommends collaborative efforts and coordination among key stakeholders, including agricultural program staff, state ministries of agriculture, pig farmers, and consumers, to streamline decision-making processes and enhance the scaling of climate-resilience innovations.

Keywords: Climate change, climate-resilience innovation, pig farming

Discovery Agriculture, 2024, 10, e3da1546
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DOI: https://doi.org/10.54905/disssi.v10i21.e3da1546

Published: 31 January 2024

Creative Commons License

© The Author(s) 2024. Open Access. This article is licensed under a Creative Commons Attribution License 4.0 (CC BY 4.0).