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Adoption of unmanned aerial vehicles for pesticide application: Role of social network, resource endowment, and perceptions

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  • Wachenheim, Cheryl
  • Fan, Linfeng
  • Zheng, Shi

Abstract

Unmanned aerial vehicle technology is a promising alternative for sustainable agriculture production to more traditional technologies used in China. This paper considers factors affecting adoption of unmanned aerial vehicles for spraying pesticides among farmers in Jilin Province, China. Gender (male), percentage of income from agriculture, cultivated land area, within-family village leadership, number of borrowing channels, and positive attitudes towards the technology had a positive effect on adoption intention. Positive attitude toward traditional technology and higher income had a negative effect. Policy recommendations include continued work in improving access to rural financing, facilitating early adopters, and technology promotion.

Suggested Citation

  • Wachenheim, Cheryl & Fan, Linfeng & Zheng, Shi, 2021. "Adoption of unmanned aerial vehicles for pesticide application: Role of social network, resource endowment, and perceptions," Technology in Society, Elsevier, vol. 64(C).
    • Handle: RePEc:eee:teinso:v:64:y:2021:i:c:s0160791x20312732
    DOI: 10.1016/j.techsoc.2020.101470
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    1. Aydin, Burchan, 2019. "Public acceptance of drones: Knowledge, attitudes, and practice," Technology in Society, Elsevier, vol. 59(C).
    2. Xiangping Jia & Hao Luan & Jikun Huang & Zuowen Li, 2015. "A Comparative Analysis of the Use of Microfinance and Formal and Informal Credit by Farmers in Less Developed Areas of Rural China," Development Policy Review, Overseas Development Institute, vol. 33(2), pages 245-263, March.
    3. Shi Zheng & Zhigang Wang & Cheryl Joy Wachenheim, 2018. "Technology adoption among farmers in Jilin Province, China," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 11(1), pages 206-216, August.
    4. Elaine M. Liu, 2008. "Time to Change What to Sow: Risk Preferences and Technology Adoption Decisions of Cotton Farmers in China," Working Papers 1064, Princeton University, Department of Economics, Industrial Relations Section..
    5. Ta Nhat Linh & Hoang Thanh Long & Le Van Chi & Le Thanh Tam & Philippe Lebailly, 2019. "Access to Rural Credit Markets in Developing Countries, the Case of Vietnam: A Literature Review," Sustainability, MDPI, vol. 11(5), pages 1-18, March.
    6. Thomas Reardon & Kostas Stamoulis & Prabhu Pingali, 2007. "Rural nonfarm employment in developing countries in an era of globalization," Agricultural Economics, International Association of Agricultural Economists, vol. 37(s1), pages 173-183, December.
    7. Elaine M. Liu, 2013. "Time to Change What to Sow: Risk Preferences and Technology Adoption Decisions of Cotton Farmers in China," The Review of Economics and Statistics, MIT Press, vol. 95(4), pages 1386-1403, October.
    8. Qihua Cai & Yuchun Zhu & Qihui Chen, 2016. "Can social networks increase households’ contribution to public-good provision in rural China?," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 8(1), pages 148-169, February.
    9. 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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    9. Sabino, Hullysses & Almeida, Rodrigo V.S. & Moraes, Lucas Baptista de & Silva, Walber Paschoal da & Guerra, Raphael & Malcher, Carlos & Passos, Diego & Passos, Fernanda G.O., 2022. "A systematic literature review on the main factors for public acceptance of drones," Technology in Society, Elsevier, vol. 71(C).
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    11. Hanson, Erik D. & Cossette, Max K. & Roberts, David C., 2022. "The adoption and usage of precision agriculture technologies in North Dakota," Technology in Society, Elsevier, vol. 71(C).
    12. Marian Lubag & Joph Bonifacio & Jasper Matthew Tan & Ronnie Concepcion & Giolo Rei Mababangloob & Juan Gabriel Galang & Marla Maniquiz-Redillas, 2023. "Diversified Impacts of Enabling a Technology-Intensified Agricultural Supply Chain on the Quality of Life in Hinterland Communities," Sustainability, MDPI, vol. 15(17), pages 1-26, August.
    13. Idowu, Abiodun Rasheed & Wachenheim, Cheryl & Hanson, Erik & Sickler, Alexandra, 2023. "The disposition of data from precision agricultural technologies: What do young agriculturalists think?," Technology in Society, Elsevier, vol. 75(C).
    14. Xiuling Ding & Apurbo Sarkar & Lipeng Li & Hua Li & Qian Lu, 2022. "Effects of Market Incentives and Livelihood Dependence on Farmers’ Multi-Stage Pesticide Application Behavior—A Case Study of Four Provinces in China," IJERPH, MDPI, vol. 19(15), pages 1-19, August.
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    More about this item

    Keywords

    Agriculture; China; Sustainable; Drone; Resource endowment; Social network; Technology adoption; Unmanned aerial vehicle;
    All these keywords.

    JEL classification:

    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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