IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i22p15351-d978796.html
   My bibliography  Save this article

Willingness of Tea Farmers to Adopt Ecological Agriculture Techniques Based on the UTAUT Extended Model

Author

Listed:
  • Kexiao Xie

    (Anxi College of Tea Science, Fujian Agriculture and Forestry University, Quanzhou 362406, China)

  • Yuerui Zhu

    (College of Horticulture, Fujian Agriculture and Forestry University, Fuzhou 350002, China)

  • Yongqiang Ma

    (Anxi College of Tea Science, Fujian Agriculture and Forestry University, Quanzhou 362406, China)

  • Youcheng Chen

    (Anxi College of Tea Science, Fujian Agriculture and Forestry University, Quanzhou 362406, China
    Fujian Anxi Tieguanyin Tea Science and Technology Backyard, Quanzhou 362406, China)

  • Shuiji Chen

    (Anxi Agricultural and Rural Bureau, Quanzhou 362400, China)

  • Zhidan Chen

    (Anxi College of Tea Science, Fujian Agriculture and Forestry University, Quanzhou 362406, China
    Fujian Anxi Tieguanyin Tea Science and Technology Backyard, Quanzhou 362406, China
    Engineering Technology and Research Center of Fujian Tea Industry, Fuzhou 350002, China)

Abstract

Ecological agricultural technology is the key method for making the transition from traditional agriculture to ecological agriculture, and is also the basic measure for promoting the transformation and upgrading of the tea industry and sustainable development. This study explores the influencing factors and mechanisms of tea farmers’ adoption of ecological agricultural technology by using the extended model of the unified theory of technology adoption and use (UTAUT) based on perceived value. The analysis results, using the partial least squares structural equation model (PLS-SEM), show that: the positive impact of perceived value on willingness to use not only makes the explanatory power of the extended model greater than that of the original model but also expands the UTAUT model into a full mediating model, in which performance expectation has the greatest impact on behavioral intention through the implemented value. Effect expectation, social influence and factoring factors following, then the four intermediary paths have significant positive effects on behavioral intention. This study improves on the limitations of the UTAUT theoretical model through the theory of perceived value, and provides a reference for research on the same topic. At the same time, the government should provide tea farmers with enhanced subsidies, skills training and communication platforms.

Suggested Citation

  • Kexiao Xie & Yuerui Zhu & Yongqiang Ma & Youcheng Chen & Shuiji Chen & Zhidan Chen, 2022. "Willingness of Tea Farmers to Adopt Ecological Agriculture Techniques Based on the UTAUT Extended Model," IJERPH, MDPI, vol. 19(22), pages 1-14, November.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:22:p:15351-:d:978796
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/22/15351/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/22/15351/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chatzimichael, Konstantinos & Genius, Margarita & Tzouvelekas, Vangelis, 2014. "Informational cascades and technology adoption: Evidence from Greek and German organic growers," Food Policy, Elsevier, vol. 49(P1), pages 186-195.
    2. Nick Bontis & Mary M. Crossan & John Hulland, 2002. "Managing An Organizational Learning System By Aligning Stocks and Flows," Journal of Management Studies, Wiley Blackwell, vol. 39(4), pages 437-469, June.
    3. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    4. Ronaghi, Mohammad Hossein & Forouharfar, Amir, 2020. "A contextualized study of the usage of the Internet of things (IoTs) in smart farming in a typical Middle Eastern country within the context of Unified Theory of Acceptance and Use of Technology model," Technology in Society, Elsevier, vol. 63(C).
    5. Soe Paing Oo & Koichi Usami, 2020. "Farmers’ Perception of Good Agricultural Practices in Rice Production in Myanmar: A Case Study of Myaungmya District, Ayeyarwady Region," Agriculture, MDPI, vol. 10(7), pages 1-20, June.
    6. Margarita Genius & Phoebe Koundouri & Céline Nauges & Vangelis Tzouvelekas, 2014. "Information Transmission in Irrigation Technology Adoption and Diffusion: Social Learning, Extension Services, and Spatial Effects," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 96(1), pages 328-344.
    7. He, Ke & Zhang, Junbiao & Zeng, Yangmei, 2020. "Households’ willingness to pay for energy utilization of crop straw in rural China:Based on an improved UTAUT model," Energy Policy, Elsevier, vol. 140(C).
    8. Theodore W. Schultz, 1966. "Transforming Traditional Agriculture: Reply," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 48(4_Part_I), pages 1015-1018.
    9. Namara, Regassa E. & Upadhyay, Bhawana & Nagar, Rashmi K., 2005. "Adoption and impacts of microirrigation technologies: Empirical results from selected localities of Maharashtra and Gujarat states of India," IWMI Research Reports 44543, International Water Management Institute.
    10. Friedrich Rübcke von Veltheim & Heinke Heise, 2021. "German Farmers’ Attitudes on Adopting Autonomous Field Robots: An Empirical Survey," Agriculture, MDPI, vol. 11(3), pages 1-19, March.
    11. Castillo, Gracia Maria Lanza & Engler, Alejandra & Wollni, Meike, 2021. "Planned behavior and social capital: Understanding farmers’ behavior toward pressurized irrigation technologies," Agricultural Water Management, Elsevier, vol. 243(C).
    12. He, Ke & Zhang, Junbiao & Zeng, Yangmei, 2018. "Rural households' willingness to accept compensation for energy utilization of crop straw in China," Energy, Elsevier, vol. 165(PA), pages 562-571.
    13. Yaying Zhu & Juan Chen, 2022. "Small-Scale Farmers’ Preference Heterogeneity for Green Agriculture Policy Incentives Identified by Choice Experiment," Sustainability, MDPI, vol. 14(10), pages 1-19, May.
    14. Hai Hu & Andi Cao & Si Chen & Houjian Li, 2022. "Effects of Risk Perception of Pests and Diseases on Tea Famers’ Green Control Techniques Adoption," IJERPH, MDPI, vol. 19(14), pages 1-15, July.
    15. Kelvin Mashisia Shikuku & Janneke Pieters & Erwin Bulte & Peter Läderach, 2019. "Incentives and the Diffusion of Agricultural Knowledge: Experimental Evidence from Northern Uganda," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 101(4), pages 1164-1180.
    16. Namara, Regassa & Upadhyay, Bhawana & Nagar, R. K., 2005. "Adoption and impacts of microirrigation technologies: empirical results from selected localities of Maharashtra and Gujarat states of India," IWMI Research Reports H037307, International Water Management Institute.
    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. Soesilo, Nining Indroyono & Alfarizi, Muhammad, 2024. "Psycho-social conditions of urban communities in the complexity of waste management: Are awareness and waste banks the main solution?," Socio-Economic Planning Sciences, Elsevier, vol. 93(C).
    2. Dongkai Lin & Bingsheng Fu & Kexiao Xie & Wanhe Zheng & Linjie Chang & Jinke Lin, 2023. "Research on the Improvement of Digital Literacy for Moderately Scaled Tea Farmers under the Background of Digital Intelligence Empowerment," Agriculture, MDPI, vol. 13(10), pages 1-26, 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. Hai Hu & Andi Cao & Si Chen & Houjian Li, 2022. "Effects of Risk Perception of Pests and Diseases on Tea Famers’ Green Control Techniques Adoption," IJERPH, MDPI, vol. 19(14), pages 1-15, July.
    2. Maria Sabbagh & Luciano Gutierrez, 2022. "Micro-Irrigation Technology Adoption in the Bekaa Valley of Lebanon: A Behavioural Model," Sustainability, MDPI, vol. 14(13), pages 1-19, June.
    3. Dongkai Lin & Bingsheng Fu & Kexiao Xie & Wanhe Zheng & Linjie Chang & Jinke Lin, 2023. "Research on the Improvement of Digital Literacy for Moderately Scaled Tea Farmers under the Background of Digital Intelligence Empowerment," Agriculture, MDPI, vol. 13(10), pages 1-26, September.
    4. Nelson Mango & Clifton Makate & Lulseged Tamene & Powell Mponela & Gift Ndengu, 2018. "Adoption of Small-Scale Irrigation Farming as a Climate-Smart Agriculture Practice and Its Influence on Household Income in the Chinyanja Triangle, Southern Africa," Land, MDPI, vol. 7(2), pages 1-19, April.
    5. Mohamed Ghali & Maha Ben Jaballah & Nejla Ben Arfa & Annie Sigwalt, 2022. "Analysis of factors that influence adoption of agroecological practices in viticulture," Review of Agricultural, Food and Environmental Studies, Springer, vol. 103(3), pages 179-209, September.
    6. Belinda Prekoh Bruce & Abdul-Rauf Malimanga Alhassan & Xuecheng Dou & Daxin Gong, 2024. "Profitability and Water Productivity of Small Scale Irrigation Schemes in Northern Ghana," Journal of Agricultural Science, Canadian Center of Science and Education, vol. 11(3), pages 1-22, April.
    7. Wang, Anbang & He, Ke & Zhang, Junbiao & Zeng, Yangmei, 2021. "Green Production Technologies and Technical Efficiency of Rice Farmers in China: A Case Study of Straw-Derived Biochar," 2021 Conference, August 17-31, 2021, Virtual 315026, International Association of Agricultural Economists.
    8. Lipeng Li & Apurbo Sarkar & Xi Zhou & Xiuling Ding & Hua Li, 2022. "Influence and Action Mechanisms of Governmental Relations Embeddedness for Fostering Green Production Demonstration Household: Evidence from Shaanxi, Sichuan, and Anhui Province, China," IJERPH, MDPI, vol. 19(19), pages 1-25, September.
    9. Birthal, Pratap S., 2013. "Application of Frontier Technologies for Agricultural Development," Indian Journal of Agricultural Economics, Indian Society of Agricultural Economics, vol. 68(1), pages 1-19.
    10. Kumar, D. Suresh, 2012. "Adoption of Drip Irrigation System in India: Some Experience and Evidence," Bangladesh Development Studies, Bangladesh Institute of Development Studies (BIDS), vol. 35(1), pages 61-78, March.
    11. Burney, Jennifer A. & Naylor, Rosamond L., 2012. "Smallholder Irrigation as a Poverty Alleviation Tool in Sub-Saharan Africa," World Development, Elsevier, vol. 40(1), pages 110-123.
    12. Kumar, D. Suresh & Palanisami, Kuppannan, 2010. "Impact of Drip Irrigation on Farming System: Evidence from Southern India," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 23(2), July.
    13. Richard Ackermann, 2012. "New Directions for Water Management in Indian Agriculture," Global Journal of Emerging Market Economies, Emerging Markets Forum, vol. 4(2), pages 227-288, May.
    14. He, Ke & Zhang, Junbiao & Zeng, Yangmei, 2020. "Households’ willingness to pay for energy utilization of crop straw in rural China:Based on an improved UTAUT model," Energy Policy, Elsevier, vol. 140(C).
    15. Giordano, Meredith & Turral, H. & Scheierling, S. M. & Treguer, D. O. & McCornick, Peter G, 2017. "Beyond “More Crop per Drop”: evolving thinking on agricultural water productivity," IWMI Research Reports 257962, International Water Management Institute.
    16. Nassima Amiri & Rachid Lahlali & Said Amiri & Moussa EL Jarroudi & Mohammed Yacoubi Khebiza & Mohammed Messouli, 2021. "Development of an Integrated Model to Assess the Impact of Agricultural Practices and Land Use on Agricultural Production in Morocco under Climate Stress over the Next Twenty Years," Sustainability, MDPI, vol. 13(21), pages 1-23, October.
    17. Kexiao Xie & Dongkai Lin & Weihan Zhu & Yongqiang Ma & Jiaxiong Qiu & Youcheng Chen & Zhidan Chen, 2023. "Analysis of Influencing Factors on the Willingness and Behavioral Consistency of Chinese Consumers to Purchase Tea via E-Commerce Platforms," Agriculture, MDPI, vol. 13(10), pages 1-17, September.
    18. Juliet Angom & P. K. Viswanathan, 2023. "Irrigation Technology Interventions as Potential Options to Improve Water Security in India and Africa: A Comparative Review," Sustainability, MDPI, vol. 15(23), pages 1-17, November.
    19. G. Lubadde & P. Tongoona & J. Derera & J. Sibiya, 2016. "Production Determinants of the Pearl Millet Cropping System in Uganda and Implications to Productivity," Journal of Agricultural Science, Canadian Center of Science and Education, vol. 8(7), pages 1-97, June.
    20. Castillo, G. E. & Namara, Regassa & Ravnborg, H. M. & Hanjra, M. A. & Smith, L. & Hussein, M. H. & Bene, Christopher & Cook, S. & Hirsch, D. & Polak, P. & Valee, Domitille & van Koppen, Barbara, 2007. "Reversing the flow: agricultural water management pathways for poverty reduction," Book Chapters,, International Water Management Institute.

    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:jijerp:v:19:y:2022:i:22:p:15351-:d:978796. 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.