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ERIC Number: EJ1398987
Record Type: Journal
Publication Date: 2023
Pages: 21
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1389-224X
EISSN: EISSN-1750-8622
Available Date: N/A
Factors Contributing to Rural Extension Agents' Support for a Transfer of Technology (ToT) Approach: A Multiple Linear Regression Analysis
Landini, Fernando; Conti, Santiago
Journal of Agricultural Education and Extension, v29 n5 p605-625 2023
Purpose: This article aims at identifying the individual factors and socio-demographic variables contributing to extension agents' support for a ToT extension approach. Design/Methodology/Approach: A multiple linear regression analysis was conducted using samples of extension agents from Argentina, Brazil, Chile, Mexico and Nigeria. Findings: The main factors explaining the support to a ToT extension approach are: the tendency to blame farmers, understanding extension as a participatory process of dialogue and inter-institutional coordination, prioritizing the modernization of farmers' production, and supporting conventional modern agriculture. The main factors reducing the support for a ToT approach are having a self-critical attitude, prioritizing the creation and strengthening of farmer organizations, having a university degree, and being an experienced extension agent. Practical Implications: The results are useful for institutions interested in changing the profile of their extension personnel and in moving away from a ToT extension approach. Theoretical Implications: Extension agents supporting a ToT approach assume that they know what is best for farmers without really acknowledging them as experienced individuals with self-determination and rationale of their own. The development of a self-critical attitude, resulting from field experience and reflection on practice seems to play a key role in questioning the assumptions of the ToT extension approach. Originality/Value: This is the first study to analyze the factors contributing to extension agents' support for a ToT approach conducted using a multiple linear regression.
Routledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Argentina; Brazil; Chile; Mexico; Nigeria
Grant or Contract Numbers: N/A
Author Affiliations: N/A