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Predicting Farmers¡¦ Behavioral Intention to Adopt Organic Agriculture

Organic agriculture has offered a more sustainable alternative to conventional agricultural production and has grown rapidly in many countries. By 2012, over 5,000 hectares of land will be farmed organically in Taiwan. To understand and predict Taiwanese farmers¡¦ intention to become engaged in organic agricultural production, this study assessed participants¡¦ behavior determinants based on an integrated model, including Ajzen¡¦s (1988) theory of planned behavior and Roger¡¦s (1995) theory of innovation diffusion. An extra variable¡Xresponsibility¡Xwas also added to the model.
The study interviews 166 farmers from organic farming class held by Agriculture Reform Fields, and 187 farmers from conventional farming class held by local Farmers¡¦ Associations. Assessments show that for farmers who attended organic-farming classes, (a) attitude, perceived behavioral control and responsibility predict participants¡¦ intention behind engagement in organic agriculture, and that (b) complexity, compatibility and observability predict their attitude. As for farmers who attended conventional-farming classes, assessments reveal that (a) attitude, subjective norm, perceived behavioral control and responsibility predict participants¡¦ intention behind engagement in organic agriculture, and that (b) environmental concern, complexity and observability predict participants¡¦ attitude. Furthermore, results also suggest that farmers who have younger ages, degrees of higher education, ownership of larger land, or suspicions that acquaintances fell ill due to pesticides are more willing to engage in organic agriculture. Implications regarding how to construct organic agriculture policy and how to distribute to farmers relevant information (e.g., certification process, sales skills and skills in organic farming) are discussed.

Identiferoai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0704111-152315
Date04 July 2011
CreatorsWu, Ming-feng
ContributorsShih-jui Tung, Chao-lin Tuan, Chun-hsien Wang, Ming-rea Kao, San-pui Lam
PublisherNSYSU
Source SetsNSYSU Electronic Thesis and Dissertation Archive
LanguageCholon
Detected LanguageEnglish
Typetext
Formatapplication/pdf
Sourcehttp://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0704111-152315
Rightswithheld, Copyright information available at source archive

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