[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i14p10822-d1190734.html
   My bibliography  Save this article

Understanding Farmers’ Intentions to Adopt Pest and Disease Green Control Techniques: Comparison and Integration Based on Multiple Models

Author

Listed:
  • Pingan Xiang

    (School of Business, Hunan Agricultural University, Changsha 410128, China)

  • Jian Guo

    (School of Business, Hunan Agricultural University, Changsha 410128, China)

Abstract
Green control techniques (GCT) are an important supporting technology to ensure sustainable agricultural development. To advance the adoption of GCT, it is crucial to understand the intention of farmers to adopt GCT and its related determinants. However, current research is mostly limited to using a single theoretical model to explore farmers’ intentions to adopt GCT, which is not conducive to revealing the determinants of farmers’ intentions to adopt GCT. To address this gap, this study integrates the Theory of Planned Behavior (TPB), the Technology Acceptance Model (TAM), the Innovation Diffusion Theory (IDT), and the Motivational Model (MM) based on research data from 362 rice farmers in Heshan District, Yiyang City, Hunan Province, and uses partial least squares structural equation modeling (PLS-SEM) to empirically test and compare the above models. The model comparison results prove that the TPB (R 2 = 0.818, Q 2 = 0.705), TAM (R 2 = 0.649, Q 2 = 0.559), IDT (R 2 = 0.782, Q 2 = 0.674), and MM (R 2 = 0.678, Q 2 = 0.584) models all have explanatory power and predictive validity in the context of green control techniques. However, the integrated model (R 2 = 0.843, Q 2 = 0.725) is found to be superior to these individual theoretical models because it has larger values of R 2 , Q 2 , and smaller values of Asymptotically Efficient, Asymptotically Consistent, and provides a multifaceted understanding for identifying the factors influencing adoption intentions. The results of the path analysis show that attitude, perceived behavioral control, perceived usefulness, subjective norm, and visibility significantly and positively influence adoption intentions in both the single and integrated models and are determinants of farmers’ intentions to adopt GCT.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:14:p:10822-:d:1190734
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/14/10822/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/14/10822/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mzoughi, Naoufel, 2011. "Farmers adoption of integrated crop protection and organic farming: Do moral and social concerns matter?," Ecological Economics, Elsevier, vol. 70(8), pages 1536-1545, June.
    2. Elahi, Ehsan & Khalid, Zainab & Tauni, Muhammad Zubair & Zhang, Hongxia & Lirong, Xing, 2022. "Extreme weather events risk to crop-production and the adaptation of innovative management strategies to mitigate the risk: A retrospective survey of rural Punjab, Pakistan," Technovation, Elsevier, vol. 117(C).
    3. Adnan Abbas & Chengyi Zhao & Waheed Ullah & Riaz Ahmad & Muhammad Waseem & Jianting Zhu, 2021. "Towards Sustainable Farm Production System: A Case Study of Corn Farming," Sustainability, MDPI, vol. 13(16), pages 1-12, August.
    4. Siyu Gong & Bo Wang & Zhigang Yu, 2022. "Whether the Use of the Internet Can Assist Farmers in Selecting Biopesticides or Not: A Study Based on Evidence from the Largest Rice-Producing Province in China," Sustainability, MDPI, vol. 14(24), pages 1-17, December.
    5. Garini, C.S. & Vanwindekens, F. & Scholberg, J.M.S. & Wezel, A. & Groot, J.C.J., 2017. "Drivers of adoption of agroecological practices for winegrowers and influence from policies in the province of Trento, Italy," Land Use Policy, Elsevier, vol. 68(C), pages 200-211.
    6. Valborg Kvakkestad & Åsmund Lægreid Steiro & Arild Vatn, 2021. "Pesticide Policies and Farm Behavior: The Introduction of Regulations for Integrated Pest Management," Agriculture, MDPI, vol. 11(9), pages 1-17, August.
    7. 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.
    8. Chepchirchir, Fridah & Muriithi, Beatrice & Langat, Jackson K., 2021. "Knowledge, Attitude, and Practices of Tomato Leaf Miner (Tuta absoluta) and Potential Demand for Integrated Pest Management Among Smallholder Farmers in Kenya and Uganda," 2021 Conference, August 17-31, 2021, Virtual 315892, International Association of Agricultural Economists.
    9. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    10. 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.
    11. Feder, Gershon & Just, Richard E & Zilberman, David, 1985. "Adoption of Agricultural Innovations in Developing Countries: A Survey," Economic Development and Cultural Change, University of Chicago Press, vol. 33(2), pages 255-298, January.
    12. 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.
    13. 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.
    14. Elahi, Ehsan & Khalid, Zainab & Zhang, Zhixin, 2022. "Understanding farmers’ intention and willingness to install renewable energy technology: A solution to reduce the environmental emissions of agriculture," Applied Energy, Elsevier, vol. 309(C).
    15. Elahi, Ehsan & Khalid, Zainab, 2022. "Estimating smart energy inputs packages using hybrid optimisation technique to mitigate environmental emissions of commercial fish farms," Applied Energy, Elsevier, vol. 326(C).
    16. Gao, Yang & Niu, Ziheng & Yang, Haoran & Yu, Lili, 2019. "Impact of green control techniques on family farms' welfare," Ecological Economics, Elsevier, vol. 161(C), pages 91-99.
    17. Fridah Chepchirchir & Beatrice W. Muriithi & Jackson Langat & Samira A. Mohamed & Shepard Ndlela & Fathiya M. Khamis, 2021. "Knowledge, Attitude, and Practices on Tomato Leaf Miner, Tuta absoluta on Tomato and Potential Demand for Integrated Pest Management among Smallholder Farmers in Kenya and Uganda," Agriculture, MDPI, vol. 11(12), pages 1-20, December.
    18. Gary C. Moore & Izak Benbasat, 1991. "Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation," Information Systems Research, INFORMS, vol. 2(3), pages 192-222, September.
    Full references (including those not matched with items on IDEAS)

    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. 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.
    2. Wang, Guoqiang & Tan, Garry Wei-Han & Yuan, Yunpeng & Ooi, Keng-Boon & Dwivedi, Yogesh K., 2022. "Revisiting TAM2 in behavioral targeting advertising: A deep learning-based dual-stage SEM-ANN analysis," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    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. Sanjeev Verma, 2015. "Harnessing the Benefit of Social Networking Sites for Intentional Social Action: Determinants and Challenges," Vision, , vol. 19(2), pages 104-111, June.
    5. Queiroz, Maciel M. & Fosso Wamba, Samuel, 2019. "Blockchain adoption challenges in supply chain: An empirical investigation of the main drivers in India and the USA," International Journal of Information Management, Elsevier, vol. 46(C), pages 70-82.
    6. Sarv Devaraj & Ming Fan & Rajiv Kohli, 2002. "Antecedents of B2C Channel Satisfaction and Preference: Validating e-Commerce Metrics," Information Systems Research, INFORMS, vol. 13(3), pages 316-333, September.
    7. Gansser, Oliver Alexander & Reich, Christina Stefanie, 2021. "A new acceptance model for artificial intelligence with extensions to UTAUT2: An empirical study in three segments of application," Technology in Society, Elsevier, vol. 65(C).
    8. repec:zbw:bofrdp:2006_032 is not listed on IDEAS
    9. Huitao Shen & Tao Zhang & Yanxia Zhao & Aibin Wu & Zhenhua Zheng & Jiansheng Cao, 2023. "Effects of Precipitation Variation on Annual and Winter Soil Respiration in a Semiarid Mountain Shrubland in Northern China," Sustainability, MDPI, vol. 15(9), pages 1-13, May.
    10. Guych Nuryyev & Yu-Ping Wang & Jennet Achyldurdyyeva & Bih-Shiaw Jaw & Yi-Shien Yeh & Hsien-Tang Lin & Li-Fan Wu, 2020. "Blockchain Technology Adoption Behavior and Sustainability of the Business in Tourism and Hospitality SMEs: An Empirical Study," Sustainability, MDPI, vol. 12(3), pages 1-21, February.
    11. Donmez, Birsen & Matson, Zannah & Savan, Beth & Farahani, Ellie & Photiadis, David & Dafoe, Joanna, 2014. "Interruption management and office norms: Technology adoption lessons from a product commercialization study," International Journal of Information Management, Elsevier, vol. 34(6), pages 741-750.
    12. Attié, Elodie & Meyer-Waarden, Lars, 2022. "The acceptance and usage of smart connected objects according to adoption stages: an enhanced technology acceptance model integrating the diffusion of innovation, uses and gratification and privacy ca," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    13. Yan Zhao & Ehsan Elahi & Zainab Khalid & Xuegang Sun & Fang Sun, 2023. "Environmental, Social and Governance Performance: Analysis of CEO Power and Corporate Risk," Sustainability, MDPI, vol. 15(2), pages 1-18, January.
    14. Min Zhu & Mengqi Sun & Ehsan Elahi & Yajie Li & Zainab Khalid, 2023. "Analyzing the Relationship between Green Finance and Agricultural Industrial Upgrading: A Panel Data Study of 31 Provinces in China," Sustainability, MDPI, vol. 15(12), pages 1-19, June.
    15. Viswanath Venkatesh, 2000. "Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model," Information Systems Research, INFORMS, vol. 11(4), pages 342-365, December.
    16. Gao, Tao (Tony) & Rohm, Andrew J. & Sultan, Fareena & Pagani, Margherita, 2013. "Consumers un-tethered: A three-market empirical study of consumers' mobile marketing acceptance," Journal of Business Research, Elsevier, vol. 66(12), pages 2536-2544.
    17. Nuray Cakirli Akyüz & Ludwig Theuvsen, 2020. "The Impact of Behavioral Drivers on Adoption of Sustainable Agricultural Practices: The Case of Organic Farming in Turkey," Sustainability, MDPI, vol. 12(17), pages 1-20, August.
    18. Liébana-Cabanillas, Francisco & Marinkovic, Veljko & Ramos de Luna, Iviane & Kalinic, Zoran, 2018. "Predicting the determinants of mobile payment acceptance: A hybrid SEM-neural network approach," Technological Forecasting and Social Change, Elsevier, vol. 129(C), pages 117-130.
    19. Gang Li & Ehsan Elahi & Xingshuai Wang, 2023. "Population age structure, asset price, and financial stability," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(4), pages 2041-2056, June.
    20. Chen Wei, 2021. "The influence of Consumers’ Purchase intention on Smart Wearable Device: A study of Consumers in East China," International Journal of Science and Business, IJSAB International, vol. 5(8), pages 46-72.
    21. Simarpreet Kaur & Sangeeta Arora, 2023. "Understanding customers’ usage behavior towards online banking services: an integrated risk–benefit framework," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 28(1), pages 74-98, March.

    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:gam:jsusta:v:15:y:2023:i:14:p:10822-:d:1190734. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.