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Farmers’ intended and actual adoption of soil and water conservation practices

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  • Bagheri, Asghar
  • Teymouri, Ali

Abstract

Soil erosion is either caused by natural agents or induced by human activities. Human activities play a decisive role in soil erosion type and extent. Numerous studies have been conducted on the adoption of soil and water conservation (SWC), but farmers' intended and actual adoption of SWC practices are not well documented. This study employed the theory of planned behavior to model farmers' intended and actual adoption of SWC practices in Heris County in East Azarbayjan province, Iran. Except for the extended construct of moral norms, all research hypotheses were validated, confirming the importance of socio-psychological factors in farmers’ decision-making. Low-cost practices that could be implemented using available facilities were adopted, but technical and costly practices were not. Respondents had fairly positive intentions towards adopting the SWC practices (mean = 3.24). While the adoption rate was slightly lower than the intentions, the intended and actual adopted practices were strongly correlated (r = 0.837). The respondents had relatively positive attitudes towards SWC (3.59). The construct of subjective norms (3.13) showed that referent people were highly influential on farmers’ decisions to adopt SWC practices. While moral norms exhibited the highest mean score (3.78), it did not influence the intention significantly, indicating that majority of the respondents were morally committed to SWC. Regarding perceived behavioral control (PBC), the respondents had moderate to good control over their behavior in the use of some practices while their control was low in using technical practices (3.23). Attitudes, PBC, moral norms, and subjective norms explained 83.6% of the variance of intentions, and PBC and intentions captured 77.9% of the variance of actual adoption. The results have implications for policymakers and extension agencies.

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  • Bagheri, Asghar & Teymouri, Ali, 2022. "Farmers’ intended and actual adoption of soil and water conservation practices," Agricultural Water Management, Elsevier, vol. 259(C).
  • Handle: RePEc:eee:agiwat:v:259:y:2022:i:c:s0378377421005217
    DOI: 10.1016/j.agwat.2021.107244
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    1. Sinden, Jack A. & King, David A., 1990. "Adoption of Soil Conservation Measures in Manilla Shire, New South Wales," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 58(02-03), pages 1-14, December.
    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. Jianhua Wang & May Chu & Yuan yuan Deng & Honming Lam & Jianjun Tang, 2018. "Determinants of pesticide application: an empirical analysis with theory of planned behaviour," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 10(4), pages 608-625, July.
    5. Gary D. Lynne & J. S. Shonkwiler & Leandro R. Rola, 1988. "Attitudes and Farmer Conservation Behavior," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 70(1), pages 12-19.
    6. Flett, Ross & Alpass, Fiona & Humphries, Steve & Massey, Claire & Morriss, Stuart & Long, Nigel, 2004. "The technology acceptance model and use of technology in New Zealand dairy farming," Agricultural Systems, Elsevier, vol. 80(2), pages 199-211, May.
    7. Jörg Henseler & Marko Sarstedt, 2013. "Goodness-of-fit indices for partial least squares path modeling," Computational Statistics, Springer, vol. 28(2), pages 565-580, April.
    8. Erkossa, Teklu & Williams, Timothy O. & Laekemariam, F., 2018. "Integrated soil, water and agronomic management effects on crop productivity and selected soil properties in Western Ethiopia," Papers published in Journals (Open Access), International Water Management Institute, pages 6(4):305-31.
    9. Adnan, Nadia & Nordin, Shahrina Md & bin Abu Bakar, Zulqarnain, 2017. "Understanding and facilitating sustainable agricultural practice: A comprehensive analysis of adoption behaviour among Malaysian paddy farmers," Land Use Policy, Elsevier, vol. 68(C), pages 372-382.
    10. Zhang, Wendong & Wilson, Robyn S. & Burnett, Elizabeth & Irwin, Elena G. & Martin, Jay F., 2016. "What motivates farmers to apply phosphorus at the “right” time? Survey evidence from the Western Lake Erie Basin," ISU General Staff Papers 201608040700001588, Iowa State University, Department of Economics.
    11. Alice Turinawe & Lars Drake & Johnny Mugisha, 2015. "Adoption intensity of soil and water conservation technologies: a case of South Western Uganda," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 17(4), pages 711-730, August.
    12. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
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    2. Hope Mwanake & Bano Mehdi-Schulz & Karsten Schulz & Nzula Kitaka & Luke O. Olang & Jakob Lederer & Mathew Herrnegger, 2023. "Agricultural Practices and Soil and Water Conservation in the Transboundary Region of Kenya and Uganda: Farmers’ Perspectives of Current Soil Erosion," Agriculture, MDPI, vol. 13(7), pages 1-32, July.

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