IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v259y2022ics0378377421005217.html
   My bibliography  Save this article

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

Author

Listed:
  • 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.

Suggested Citation

  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377421005217
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.agwat.2021.107244?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Omulo, Godfrey & Daum, Thomas & Köller, Karlheinz & Birner, Regina, 2024. "Unpacking the behavioral intentions of ‘emergent farmers’ towards mechanized conservation agriculture in Zambia," Land Use Policy, Elsevier, vol. 136(C).
    2. Wang, Yayu & Xiao, Yang & Puig-Bargués, Jaume & Zhou, Bo & Liu, Zeyuan & Muhammad, Tahir & Liang, Hongbang & Maitusong, Memetmin & Wang, Zhenhua & Li, Yunkai, 2023. "Assessment of water quality ions in brackish water on drip irrigation system performance applied in saline areas," Agricultural Water Management, Elsevier, vol. 289(C).
    3. Passarelli, Mariacarmela & Bongiorno, Giuseppe & Cucino, Valentina & Cariola, Alfio, 2023. "Adopting new technologies during the crisis: An empirical analysis of agricultural sector," Technological Forecasting and Social Change, Elsevier, vol. 186(PA).
    4. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Asghar Bagheri & Abolmohammad Bondori & Mohammad Sadegh Allahyari & Jhalukpreya Surujlal, 2021. "Use of biologic inputs among cereal farmers: application of technology acceptance model," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(4), pages 5165-5181, April.
    2. 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.
    3. Riffat Ara Zannat Tama & Md Mahmudul Hoque & Ying Liu & Mohammad Jahangir Alam & Mark Yu, 2023. "An Application of Partial Least Squares Structural Equation Modeling (PLS-SEM) to Examining Farmers’ Behavioral Attitude and Intention towards Conservation Agriculture in Bangladesh," Agriculture, MDPI, vol. 13(2), pages 1-22, February.
    4. Li, Fuduo & Zhang, Kangjie & Ren, Jing & Yin, Changbin & Zhang, Yang & Nie, Jun, 2021. "Driving mechanism for farmers to adopt improved agricultural systems in China: The case of rice-green manure crops rotation system," Agricultural Systems, Elsevier, vol. 192(C).
    5. Daxini, Amar & O’Donoghue, Cathal & Ryan, Mary & Buckley, Cathal & Barnes, Andrew P., 2018. "Factors influencing farmers' intentions to adopt nutrient management planning: accounting for heterogeneity," 166th Seminar, August 30-31, 2018, Galway, West of Ireland 276183, European Association of Agricultural Economists.
    6. Kamrath, Carolin & Rajendran, Srinivasulu & Nenguwo, Ngoni & Afari-Sefa, Victor & Broring, Stefanie, 2018. "Adoption behavior of market traders: an analysis based on Technology Acceptance Model and Theory of Planned Behavior," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 21(6), July.
    7. Lijing Gao & J. Arbuckle, 2022. "Examining farmers’ adoption of nutrient management best management practices: a social cognitive framework," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 39(2), pages 535-553, June.
    8. Murat Okumah & Julia Martin-Ortega & Paula Novo & Pippa J. Chapman, 2020. "Revisiting the Determinants of Pro-Environmental Behaviour to Inform Land Management Policy: A Meta-Analytic Structural Equation Model Application," Land, MDPI, vol. 9(5), pages 1-33, April.
    9. Yuzhong Zhang & Xianying Xu & Hujun Liu & Li Wang & Danni Niu, 2023. "Study on Sustainability of Shelter Forest Construction and Protection Behavior of Farmers in the Sandstorm Area of Hexi Corridor, China," Sustainability, MDPI, vol. 15(6), pages 1-18, March.
    10. Wang, Mingliang & Gong, Shunlong & Liang, Luyu & Bai, Li & Weng, Zhenlin & Tang, Jin, 2023. "Norms triumph over self-interest! The role of perceived values and different norms on sustainable agricultural practices," Land Use Policy, Elsevier, vol. 129(C).
    11. Asrar Ahmed Sabir & Iftikhar Ahmad & Hassan Ahmad & Muhammad Rafiq & Muhammad Asghar Khan & Neelum Noreen, 2023. "Consumer Acceptance and Adoption of AI Robo-Advisors in Fintech Industry," Mathematics, MDPI, vol. 11(6), pages 1-24, March.
    12. Qian, Chen & Shao, Liqun & Chen, Haibin, 2022. "Understanding herdsmen's rangeland rent-in behaviour under current rural land tenure system of China," Ecological Economics, Elsevier, vol. 196(C).
    13. Pingan Xiang & Jian Guo, 2023. "Understanding Farmers’ Intentions to Adopt Pest and Disease Green Control Techniques: Comparison and Integration Based on Multiple Models," Sustainability, MDPI, vol. 15(14), pages 1-18, July.
    14. Ting Zhang & Jia Li & Yan Wang, 2023. "Effects of Livelihood Capital on the Farmers’ Behavioral Intention of Rural Residential Land Development Right Transfer: Evidence from Wujin District, Changzhou City, China," Land, MDPI, vol. 12(6), pages 1-16, June.
    15. Barnes, Stuart J. & Mattsson, Jan, 2017. "Understanding collaborative consumption: Test of a theoretical model," Technological Forecasting and Social Change, Elsevier, vol. 118(C), pages 281-292.
    16. Kelly, Edel & Heanue, Kevin & Buckley, Cathal & O'Gorman, Colm, 2015. "Proven Science versus Farmer Perception," 2015 Conference, August 9-14, 2015, Milan, Italy 229067, International Association of Agricultural Economists.
    17. Debora Bettiga & Lucio Lamberti & Emanuele Lettieri, 2020. "Individuals’ adoption of smart technologies for preventive health care: a structural equation modeling approach," Health Care Management Science, Springer, vol. 23(2), pages 203-214, June.
    18. Yu Wang & Shanyong Wang & Jing Wang & Jiuchang Wei & Chenglin Wang, 2020. "An empirical study of consumers’ intention to use ride-sharing services: using an extended technology acceptance model," Transportation, Springer, vol. 47(1), pages 397-415, February.
    19. Paul Juinn Bing Tan, 2013. "Applying the UTAUT to Understand Factors Affecting the Use of English E-Learning Websites in Taiwan," SAGE Open, , vol. 3(4), pages 21582440135, October.
    20. Peter Mantello & Manh-Tung Ho & Minh-Hoang Nguyen & Quan-Hoang Vuong, 2023. "Machines that feel: behavioral determinants of attitude towards affect recognition technology—upgrading technology acceptance theory with the mindsponge model," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-16, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:agiwat:v:259:y:2022:i:c:s0378377421005217. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agwat .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.