IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v180y2022ics0040162522002529.html
   My bibliography  Save this article

Modeling farmers’ adoption of low-carbon agricultural technology in Jianghan Plain, China: An examination of the theory of planned behavior

Author

Listed:
  • Yang, Xin
  • Zhou, Xiaohe
  • Deng, Xiangzheng

Abstract

Low-carbon agricultural technology (LCAT) has a fundamental role for China to reach the carbon emissions peak in 2030 and achieve carbon neutrality in 2060. Using data obtained from questionnaires completed by 386 small farmers in Jianghan Plain, China, we construct a theoretical framework based on the theory of planned behavior and structural equation model to elicit the determinants affecting farmers’ adoption of LCAT. Three notable results emerge. (1) Farmers’ behavioral attitude (BA), subjective norm (SN), and perceived behavioral control (PBC) were correlated. (2) Farmers’ behavioral intention (BI) to adopt LCAT was significantly and directly affected by BA, SN, and PBC, and BA had the highest impact (0.62). (3) Farmers’ BA and BI both impose positively significant effects on behavioral response (BR) regarding LCAT, and the BI had the strongest impact (0.53). Based on these findings, future policy interventions to promote LCAT measures should focus on improving farmers’ knowledge of LCAT, upgrading the promotion tools of LCAT, and emphasizing the exchange of technical information among farmers.

Suggested Citation

  • Yang, Xin & Zhou, Xiaohe & Deng, Xiangzheng, 2022. "Modeling farmers’ adoption of low-carbon agricultural technology in Jianghan Plain, China: An examination of the theory of planned behavior," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    • Handle: RePEc:eee:tefoso:v:180:y:2022:i:c:s0040162522002529
    DOI: 10.1016/j.techfore.2022.121726
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162522002529
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.techfore.2022.121726?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. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    2. Daxini, Amar & O'Donoghue, Cathal & Ryan, Mary & Barnes, Andrew & Buckley, Cathal & Daly, Karen, 2018. "Which factors influence farmers’ intentions to adopt nutrient management planning?," 92nd Annual Conference, April 16-18, 2018, Warwick University, Coventry, UK 273498, Agricultural Economics Society.
    3. Nakano, Yuko & Tsusaka, Takuji W. & Aida, Takeshi & Pede, Valerien O., 2018. "Is farmer-to-farmer extension effective? The impact of training on technology adoption and rice farming productivity in Tanzania," World Development, Elsevier, vol. 105(C), pages 336-351.
    4. Uri, Noel D., 1998. "Conservation tillage and the use of energy and other inputs in US agriculture," Energy Economics, Elsevier, vol. 20(4), pages 389-410, September.
    5. Hui Li & Diejun Huang & Qiuzhuo Ma & Wene Qi & Hua Li, 2019. "Factors Influencing the Technology Adoption Behaviours of Litchi Farmers in China," Sustainability, MDPI, vol. 12(1), pages 1-13, December.
    6. Jifu Li & Guoyu Gan & Xi Chen & Jialong Zou, 2021. "Effects of Long-Term Straw Management and Potassium Fertilization on Crop Yield, Soil Properties, and Microbial Community in a Rice–Oilseed Rape Rotation," Agriculture, MDPI, vol. 11(12), pages 1-18, December.
    7. Roberta Souza Piao & Vivian Lara Silva & Irene Navarro del Aguila & Jerónimo de Burgos Jiménez, 2021. "Green Growth and Agriculture in Brazil," Sustainability, MDPI, vol. 13(3), pages 1-13, January.
    8. Wang, Tong & Jin, Hailong & Kasu, Bishal B. & Jacquet, Jeffrey & Kumar, Sandeep, 2019. "Soil Conservation Practice Adoption in the Northern Great Plains: Economic versus Stewardship Motivations," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 44(2), May.
    9. Tang, Kai & Hailu, Atakelty & Kragt, Marit E. & Ma, Chunbo, 2018. "The response of broadacre mixed crop-livestock farmers to agricultural greenhouse gas abatement incentives," Agricultural Systems, Elsevier, vol. 160(C), pages 11-20.
    10. Jean‐Paul Chavas & Céline Nauges, 2020. "Uncertainty, Learning, and Technology Adoption in Agriculture," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 42(1), pages 42-53, March.
    11. Saha, Atanu, 1994. "A two-season agricultural household model of output and price uncertainty," Journal of Development Economics, Elsevier, vol. 45(2), pages 245-269, December.
    12. Howley, Peter & Buckley, Cathal & O Donoghue, Cathal & Ryan, Mary, 2015. "Explaining the economic ‘irrationality’ of farmers' land use behaviour: The role of productivist attitudes and non-pecuniary benefits," Ecological Economics, Elsevier, vol. 109(C), pages 186-193.
    13. Liobikienė, Genovaitė & Dagiliūtė, Renata & Juknys, Romualdas, 2021. "The determinants of renewable energy usage intentions using theory of planned behaviour approach," Renewable Energy, Elsevier, vol. 170(C), pages 587-594.
    14. Tessema, Yohannis & Asafu-Adjaye, John & Rodriguez, Daniel & Mallawaarachchi, Thilak & Shiferaw, Bekele, 2015. "A bio-economic analysis of the benefits of conservation agriculture: The case of smallholder farmers in Adami Tulu district, Ethiopia," Ecological Economics, Elsevier, vol. 120(C), pages 164-174.
    15. Birhanu, Mulugeta Yitayih & Girma, Anteneh & Puskur, Ranjitha, 2017. "Determinants of success and intensity of livestock feed technologies use in Ethiopia: Evidence from a positive deviance perspective," Technological Forecasting and Social Change, Elsevier, vol. 115(C), pages 15-25.
    16. Lalani, Baqir & Dorward, Peter & Holloway, Garth & Wauters, Erwin, 2016. "Smallholder farmers' motivations for using Conservation Agriculture and the roles of yield, labour and soil fertility in decision making," Agricultural Systems, Elsevier, vol. 146(C), pages 80-90.
    17. Berhanu, Yonas & Angassa, Ayana & Aune, Jens B., 2021. "A system analysis to assess the effect of low-cost agricultural technologies on productivity, income and GHG emissions in mixed farming systems in southern Ethiopia," Agricultural Systems, Elsevier, vol. 187(C).
    18. Jing Hou & Bo Hou, 2019. "Farmers’ Adoption of Low-Carbon Agriculture in China: An Extended Theory of the Planned Behavior Model," Sustainability, MDPI, vol. 11(5), pages 1-20, March.
    19. Scognamillo, Antonio & Sitko, Nicholas J., 2021. "Leveraging social protection to advance climate-smart agriculture: An empirical analysis of the impacts of Malawi’s Social Action Fund (MASAF) on farmers’ adoption decisions and welfare outcomes," World Development, Elsevier, vol. 146(C).
    20. 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.
    21. Wang, Liyang & Morabito, Molly & Payne, Christopher T. & Robinson, Gerald, 2020. "Identifying institutional barriers and policy implications for sustainable energy technology adoption among large organizations in California," Energy Policy, Elsevier, vol. 146(C).
    22. Daxini, Amar & O'Donoghue, Cathal & Ryan, Mary & Barnes, Andrew & Buckley, Cathal & Daly, Karen, 2018. "Which factors influence farmers’ intentions to adopt nutrient management planning?," 92nd Annual Conference, April 16-18, 2018, Warwick University, Coventry, UK 273494, Agricultural Economics Society.
    23. 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.
    24. Chester, Lynne, 2010. "Conceptualising energy security and making explicit its polysemic nature," Energy Policy, Elsevier, vol. 38(2), pages 887-895, 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. Yan Ma & Xingyu Wang & Chuanliang Zhong, 2024. "Spatial and Temporal Differences and Influencing Factors of Eco-Efficiency of Cultivated Land Use in Main Grain-Producing Areas of China," Sustainability, MDPI, vol. 16(13), pages 1-22, July.
    2. Alsulami, Abdulkarim & Fairbrass, Jenny & Botelho, Tiago & Assadinia, Shahin, 2024. "Renewable energy and innovation in Saudi Arabia: An exploration of factors affecting consumers' intention to adopt Solar PV," Technological Forecasting and Social Change, Elsevier, vol. 204(C).
    3. Wu, Zhonghuan & Duan, Chunlin & Cui, Yuting & Qin, Rong, 2023. "Consumers' attitudes toward low-carbon consumption based on a computational model: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 186(PA).
    4. Alvino, Letizia & Dangelico, Rosa Maria, 2022. "Investigating the antecedents of consumer behavioral intention for sustainable fashion products: Evidence from a large survey of Italian consumers," Other publications TiSEM ed6b6a75-2a9f-4b6e-8076-9, Tilburg University, School of Economics and Management.
    5. 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).
    6. Ye Jin & Qingning Lin & Shiping Mao, 2022. "Tanzanian Farmers’ Intention to Adopt Improved Maize Technology: Analyzing Influencing Factors Using SEM and fsQCA Methods," Agriculture, MDPI, vol. 12(12), pages 1-23, November.
    7. Yuxuan Xu & Jie Lyu & Ying Xue & Hongbin Liu, 2022. "Intentions of Farmers to Renew Productive Agricultural Service Contracts Using the Theory of Planned Behavior: An Empirical Study in Northeastern China," Agriculture, MDPI, vol. 12(9), pages 1-21, September.
    8. Dangelico, Rosa Maria & Alvino, Letizia & Fraccascia, Luca, 2022. "Investigating the antecedents of consumer behavioral intention for sustainable fashion products: Evidence from a large survey of Italian consumers," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
    9. Linghui Li & Chunyan Dai, 2024. "Internal and External Factors Influencing Rural Households’ Investment Intentions in Building Photovoltaic Integration Projects," Energies, MDPI, vol. 17(5), pages 1-20, February.
    10. Bingbing Huang & Hui Kong & Jinhong Yu & Xiaoyou Zhang, 2022. "A Study on the Impact of Low-Carbon Technology Application in Agriculture on the Returns of Large-Scale Farmers," IJERPH, MDPI, vol. 19(16), pages 1-18, August.
    11. Mao, Hui & Chai, Yujia & Shao, Xiaoxuan & Chang, Xue, 2024. "Digital extension and farmers' adoption of climate adaptation technology: An empirical analysis of China," Land Use Policy, Elsevier, vol. 143(C).
    12. Shahrina Md Nordin & Sonia Lohana & Siti Nooriza Abd Razak & Vicky Kumar & Rafidah Abdul Rashid & Ammar Redza Ahmad Rizal & Eko Atmadji, 2023. "Identification of Opportunities for Espousing Green Fertilizers Technology Among Smallholder Paddy Farmers for Higher Productivity and Environmental Sustenance," SAGE Open, , vol. 13(4), pages 21582440231, December.
    13. Tianshu Quan & Weiguo Jia & Tianli Quan & Yuyun Xu, 2024. "Impact of Farmers’ Participation in the Transformation of the Farmland Transfer Market on the Adoption of Agricultural Green Production Technologies," Agriculture, MDPI, vol. 14(10), pages 1-23, September.

    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. 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.
    2. 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).
    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. 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).
    5. Giuseppe Timpanaro & Gaetano Chinnici & Roberta Selvaggi & Giulio Cascone & Vera Teresa Foti & Alessandro Scuderi, 2023. "Farmer?s adoption of agricultural insurance for Mediterranean crops as an innovative behavior," Economia agro-alimentare, FrancoAngeli Editore, vol. 25(2), pages 155-188.
    6. Daxini, Amar & O'Donoghue, Cathal & Ryan, Mary & Barnes, Andrew & Buckley, Cathal & Daly, Karen, 2018. "Which factors influence farmers’ intentions to adopt nutrient management planning?," 92nd Annual Conference, April 16-18, 2018, Warwick University, Coventry, UK 273494, Agricultural Economics Society.
    7. Daxini, Amar & O'Donoghue, Cathal & Ryan, Mary & Barnes, Andrew & Buckley, Cathal & Daly, Karen, 2018. "Which factors influence farmers’ intentions to adopt nutrient management planning?," 92nd Annual Conference, April 16-18, 2018, Warwick University, Coventry, UK 273498, Agricultural Economics Society.
    8. Somjai Nupueng & Peter Oosterveer & Arthur P. J. Mol, 2023. "Global and local sustainable certification systems: Factors influencing RSPO and Thai-GAP adoption by oil palm smallholder farmers in Thailand," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(7), pages 6337-6362, July.
    9. Cullen, Paula & Ryan, Mary & O’Donoghue, Cathal & Hynes, Stephen & hUallacháin, Daire Ó & Sheridan, Helen, 2020. "Impact of farmer self-identity and attitudes on participation in agri-environment schemes," Land Use Policy, Elsevier, vol. 95(C).
    10. Coyne, L & Kendall, H & Hansda, R & Reed, M.S. & Williams, D.J.L., 2021. "Identifying economic and societal drivers of engagement in agri-environmental schemes for English dairy producers," Land Use Policy, Elsevier, vol. 101(C).
    11. Murat Okumah & Ata Senior Yeboah & Elias Nkiaka & Richard Apatewen Azerigyik, 2019. "What Determines Behaviours Towards Water Resources Management in a Rural Context? Results of a Quantitative Study," Resources, MDPI, vol. 8(2), pages 1-19, June.
    12. Zengwei Xu & Jing Li & Jiliang Ma, 2022. "Impacts of Extension Contact on the Adoption of Formulated Fertilizers and Farm Performance among Large-Scale Farms in Rural China," Land, MDPI, vol. 11(11), pages 1-19, November.
    13. Nettle, R. & Morton, J.M. & McDonald, N. & Suryana, M. & Birch, D. & Nyengo, K. & Mbuli, M. & Ayre, M. & King, B. & Paschen, J.-A. & Reichelt, N., 2021. "Factors associated with farmers’ use of fee-for-service advisors in a privatized agricultural extension system," Land Use Policy, Elsevier, vol. 104(C).
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. Fox, Stephen & Groesser, Stefan N., 2016. "Reframing the relevance of research to practice," European Management Journal, Elsevier, vol. 34(5), pages 457-465.
    19. Mäntymäki, Matti & Salo, Jari, 2013. "Purchasing behavior in social virtual worlds: An examination of Habbo Hotel," International Journal of Information Management, Elsevier, vol. 33(2), pages 282-290.
    20. Fatima Zahra Barrane & Gahima Egide Karuranga & Diane Poulin, 2018. "Technology Adoption and Diffusion: A New Application of the UTAUT Model," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 15(06), pages 1-19, 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:tefoso:v:180:y:2022:i:c:s0040162522002529. 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.sciencedirect.com/science/journal/00401625 .

    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.