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Understanding cognitive and socio-psychological factors determining farmers’ intentions to use improved grassland: Implications of land use policy for sustainable pasture production

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  • Elahi, Ehsan
  • Zhang, Hongxia
  • Lirong, Xing
  • Khalid, Zainab
  • Xu, Haiyun

Abstract

The study aims to estimate farmers’ intentions, barriers, and drivers to use improved grassland. In 2019, following a snowball sampling technique, 240 farmers from district Mansehra of Pakistan were interviewed using a well-structured questionnaire. During interviews, detailed questions were asked about socioeconomic variables, behavior belief, normative belief, and control belief. The theory of planned behavior (TPB) was used to determine farmers' cognitive and socio-psychological behavior to use improved grassland. Comparative to non-users, the grassland users were found with higher age, more education, large herd size, more milking animals, and milk yield. Factors such as large family size, higher dependency burden, less satisfaction from livestock farming, non-farm income, and lack of grassland ownership were the barriers to not using improved grassland in the study area. Path analysis confirmed that farmers who formed favourable attitudes to use improved grassland, had perceived strong social pressure. Moreover, they have had perceived difficulty and likely to believe that they control this behaviour and develop a firm intention to use improved grassland. A favorable attitude was found to use improved grassland, which is emerged from beliefs. Farmers were strongly agreed with statements that the improved grassland is beneficial for pasture availability throughout the year and to increase feed and milk production. Moreover, farmers were strongly encouraged by peer farmers and friends to use improved grassland, and they expressed a high degree of motivation to comply with the referents. Similarly, animal welfare concerns have positive while moral norms and self-identity negatively and significantly correlated with farmers’ intention to use improved grassland. The estimated behavior belief, normative belief, and perceived behavior control significantly correlated with farmers’ intention. While perceived difficulty negatively correlated with the intention. The study findings suggest to develop a proper framework of extension services to increase awareness of using improved grassland for sustainable pasture production.

Suggested Citation

  • Elahi, Ehsan & Zhang, Hongxia & Lirong, Xing & Khalid, Zainab & Xu, Haiyun, 2021. "Understanding cognitive and socio-psychological factors determining farmers’ intentions to use improved grassland: Implications of land use policy for sustainable pasture production," Land Use Policy, Elsevier, vol. 102(C).
    • Handle: RePEc:eee:lauspo:v:102:y:2021:i:c:s0264837720325886
    DOI: 10.1016/j.landusepol.2020.105250
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    References listed on IDEAS

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    1. Hyland, John J. & Heanue, Kevin & McKillop, Jessica & Micha, Evgenia, 2018. "Factors underlying farmers' intentions to adopt best practices: The case of paddock based grazing systems," Agricultural Systems, Elsevier, vol. 162(C), pages 97-106.
    2. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    3. Daxini, Amar & Ryan, Mary & O’Donoghue, Cathal & Barnes, Andrew P., 2019. "Understanding farmers’ intentions to follow a nutrient management plan using the theory of planned behaviour," Land Use Policy, Elsevier, vol. 85(C), pages 428-437.
    4. Rehman, T. & McKemey, K. & Yates, C.M. & Cooke, R.J. & Garforth, C.J. & Tranter, R.B. & Park, J.R. & Dorward, P.T., 2007. "Identifying and understanding factors influencing the uptake of new technologies on dairy farms in SW England using the theory of reasoned action," Agricultural Systems, Elsevier, vol. 94(2), pages 281-293, May.
    5. Elahi, Ehsan & Weijun, Cui & Jha, Sunil Kumar & Zhang, Huiming, 2019. "Estimation of realistic renewable and non-renewable energy use targets for livestock production systems utilising an artificial neural network method: A step towards livestock sustainability," Energy, Elsevier, vol. 183(C), pages 191-204.
    6. Mariano, Marc Jim & Villano, Renato & Fleming, Euan, 2012. "Factors influencing farmers’ adoption of modern rice technologies and good management practices in the Philippines," Agricultural Systems, Elsevier, vol. 110(C), pages 41-53.
    7. Elahi, Ehsan & Abid, Muhammad & Zhang, Liqin & ul Haq, Shams & Sahito, Jam Ghulam Murtaza, 2018. "Agricultural advisory and financial services; farm level access, outreach and impact in a mixed cropping district of Punjab, Pakistan," Land Use Policy, Elsevier, vol. 71(C), pages 249-260.
    8. Floress, Kristin & Reimer, Adam & Thompson, Aaron & Burbach, Mark & Knutson, Cody & Prokopy, Linda & Ribaudo, Marc & Ulrich-Schad, Jessica, 2018. "Measuring farmer conservation behaviors: Challenges and best practices," Land Use Policy, Elsevier, vol. 70(C), pages 414-418.
    9. Hyland, John J. & Heanue, Kevin & McKillop, Jessica & Micha, Evgenia, 2018. "Factors influencing dairy farmers’ adoption of best management grazing practices," Land Use Policy, Elsevier, vol. 78(C), pages 562-571.
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