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The Influence of Digital Literacy on the Phenomenon of Deviation between Farmers’ E-Commerce Sales Willingness and Behavior: Evidence from Rural China

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  • Yonghu Zhang

    (College of Economics and Management, Nanjing Forestry University, Nanjing 210037, China)

  • Yifeng Zhang

    (College of Economics and Management, Nanjing Forestry University, Nanjing 210037, China)

Abstract

E-commerce, as a prominent feature of the digital economy era, is highly expected to promote economic growth and sustainable development. Based on the 2020 “China Rural Revitalization Survey” data, this study empirically analyzed the impact and mechanism of digital literacy on the discrepancy between the willingness and behavior of farmers in e-commerce sales. Eleven indicator items were selected, and factor analysis was used to obtain the comprehensive score of digital literacy. Firstly, benchmark regression was performed using the probit model, and then potential endogeneity issues were addressed using the IV probit method and endogenous conversion probit model. The following main conclusions were drawn: Digital literacy has a suppressive effect on the deviation between the willingness and behavior of farmers in e-commerce sales. Farmers with media operation literacy, information acquisition literacy, digital transaction literacy, e-commerce cognitive literacy, and digital social literacy have a 12.3%, 18.3%, 26.2%, 37.5%, and 21.9% reduction in the probability of deviation between the willingness and behavior of farmers in e-commerce sales compared to those without these literacy counterfactual assumptions. Digital literacy helps curb the deviation between farmers’ willingness and behavior in e-commerce sales by facilitating their access to financial resources and agricultural production services. This study demonstrates that enhancing the digital literacy of farmers will promote their willingness to convert e-commerce sales into behavior, help promote sustainable agricultural products more efficiently, and make important contributions to economic growth and sustainable development.

Suggested Citation

  • Yonghu Zhang & Yifeng Zhang, 2024. "The Influence of Digital Literacy on the Phenomenon of Deviation between Farmers’ E-Commerce Sales Willingness and Behavior: Evidence from Rural China," Sustainability, MDPI, vol. 16(7), pages 1-22, April.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:7:p:3000-:d:1369868
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    1. Taylor, J Edward & Rozelle, Scott & de Brauw, Alan, 2003. "Migration and Incomes in Source Communities: A New Economics of Migration Perspective from China," Economic Development and Cultural Change, University of Chicago Press, vol. 52(1), pages 75-101, October.
    2. Wongkitrungrueng, Apiradee & Assarut, Nuttapol, 2020. "The role of live streaming in building consumer trust and engagement with social commerce sellers," Journal of Business Research, Elsevier, vol. 117(C), pages 543-556.
    3. Juan Lin & Han Li & Mingshui Lin & Chuhai Li, 2022. "Rural e‐commerce in China: Spatial dynamics of Taobao Villages development in Zhejiang Province," Growth and Change, Wiley Blackwell, vol. 53(3), pages 1082-1101, September.
    4. Wanglin Ma & Xiaoshi Zhou & Min Liu, 2020. "What drives farmers’ willingness to adopt e‐commerce in rural China? The role of Internet use," Agribusiness, John Wiley & Sons, Ltd., vol. 36(1), pages 159-163, January.
    5. Li, Fanghua & Zang, Dungang & Chandio, Abbas Ali & Yang, Dongmei & Jiang, Yuansheng, 2023. "Farmers' adoption of digital technology and agricultural entrepreneurial willingness: Evidence from China," Technology in Society, Elsevier, vol. 73(C).
    6. Zhu, Facang & Shi, Qiule & Balezentis, Tomas & Zhang, Chonghui, 2023. "The impact of e-commerce and R&D on firm-level production in China: Evidence from manufacturing sector," Structural Change and Economic Dynamics, Elsevier, vol. 65(C), pages 101-110.
    7. Chunfang Yang & Changming Cheng & Nanyang Cheng & Yifeng Zhang, 2023. "Research on the Impact of Internet Use on Farmers’ Adoption of Agricultural Socialized Services," Sustainability, MDPI, vol. 15(10), pages 1-17, May.
    8. Erjola ALIAJ & Edvana TIRI, 2023. "E-commerce regulation in Albania," Juridical Tribune - Review of Comparative and International Law, Bucharest Academy of Economic Studies, vol. 13(3), pages 441-455, October.
    9. Haibo Lei & Qin Su, 2023. "Does the Use of Digital Finance Affect Household Farmland Transfer-Out?," Sustainability, MDPI, vol. 15(16), pages 1-18, August.
    10. Guilhem Bascle, 2008. "Controlling for endogeneity with instrumental variables in strategic management research," Post-Print hal-00576795, HAL.
    11. Qi, Jiaqi & Zheng, Xiaoyong & Guo, Hongdong, 2019. "The formation of Taobao villages in China," China Economic Review, Elsevier, vol. 53(C), pages 106-127.
    12. Fitim Gashi & Bedri Peci, 2020. "Protection Of Personal Data And Privacy In Banking Sector In Kosovo And Its Impact In Consumer Protection," Perspectives of Law and Public Administration, Societatea de Stiinte Juridice si Administrative (Society of Juridical and Administrative Sciences), vol. 9(1), pages 70-78, May.
    13. Lo Prete, Anna, 2022. "Digital and financial literacy as determinants of digital payments and personal finance," Economics Letters, Elsevier, vol. 213(C).
    14. Michael Lokshin & Zurab Sajaia, 2004. "Maximum likelihood estimation of endogenous switching regression models," Stata Journal, StataCorp LP, vol. 4(3), pages 282-289, September.
    15. Chen, Chen & Gan, Christopher & Li, Junpeng & Lu, Yao & Rahut, Dil, 2023. "Linking farmers to markets: Does cooperative membership facilitate e-commerce adoption and income growth in rural China?," Economic Analysis and Policy, Elsevier, vol. 80(C), pages 1155-1170.
    16. Michael Lokshin & Zurab Sajaia, 2011. "Impact of interventions on discrete outcomes: Maximum likelihood estimation of the binary choice models with binary endogenous regressors," Stata Journal, StataCorp LP, vol. 11(3), pages 368-385, September.
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