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The Role of Internet Development in China’s Grain Production: Specific Path and Dialectical Perspective

Author

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  • Xuehao Bi

    (College of Public Administration, Nanjing Agricultural University, Nanjing 210095, China)

  • Bo Wen

    (College of Landscape Architecture, Nanjing Forestry University, Nanjing 210037, China)

  • Wei Zou

    (College of Public Administration, Nanjing Agricultural University, Nanjing 210095, China)

Abstract

With the development of the internet in China, information asymmetry in traditional agriculture production has been alleviated, and the information on modern agricultural technologies and production factor mobility has been widely disseminated, significantly impacting the country’s grain productivity and output. The pertinence and effectiveness of food security system arrangement can be ensured by revealing the influence of the internet on grain production. Based on the panel data of 30 provincial administrative regions in China from 1997 to 2018, a mediation model and a moderation model were used to evaluate the effect of internet development on grain output and constraints. The results showed that grain output could be promoted as internet penetration directly increases, and can also be boosted by enhancing technology usage and promoting operation scale expansion through the internet. However, the positive effect of this cycle could be inhibited by rural population aging, as there are many barriers faced by the elderly using information and communication technology (ICT). Strengthening agricultural technology utilization and promoting large-scale operation can encourage the development of rural internet, consequently improving the national food security guarantee capacity. It is equally important to simplify internet usage to alleviate the adverse impact of population aging on grain output. This study contributes to three sections of literature on (i) the factors influencing grain output, (ii) the mediating effects of the information transmission function of the internet, (iii) and the potential impact of aging in the information era. Exploring agricultural growth from an innovative perspective of the internet can provide a reference for ensuring food security and agricultural informatization.

Suggested Citation

  • Xuehao Bi & Bo Wen & Wei Zou, 2022. "The Role of Internet Development in China’s Grain Production: Specific Path and Dialectical Perspective," Agriculture, MDPI, vol. 12(3), pages 1-14, March.
    • Handle: RePEc:gam:jagris:v:12:y:2022:i:3:p:377-:d:766237
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    1. Skaalsveen, Kamilla & Ingram, Julie & Urquhart, Julie, 2020. "The role of farmers' social networks in the implementation of no-till farming practices," Agricultural Systems, Elsevier, vol. 181(C).
    2. Li, Bowei & Shen, Yueqin, 2021. "Effects of land transfer quality on the application of organic fertilizer by large-scale farmers in China," Land Use Policy, Elsevier, vol. 100(C).
    3. Jin Yang & Zuhui Huang & Xiaobo Zhang & Thomas Reardon, 2013. "The Rapid Rise of Cross-Regional Agricultural Mechanization Services in China," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 95(5), pages 1245-1251.
    4. Ogutu, Sylvester Ochieng & Okello, Julius Juma & Otieno, David Jakinda, 2014. "Impact of Information and Communication Technology-Based Market Information Services on Smallholder Farm Input Use and Productivity: The Case of Kenya," World Development, Elsevier, vol. 64(C), pages 311-321.
    5. Lioutas, Evagelos D. & Charatsari, Chrysanthi, 2020. "Smart farming and short food supply chains: Are they compatible?," Land Use Policy, Elsevier, vol. 94(C).
    6. Yu, Dandan & Fiebig, Denzil G., 2020. "Internet use and cognition among middle-aged and older adults in China: A cross-lagged panel analysis," The Journal of the Economics of Ageing, Elsevier, vol. 17(C).
    7. Balwinder-Singh, & Shirsath, Paresh B. & Jat, M.L. & McDonald, A.J. & Srivastava, Amit K. & Craufurd, Peter & Rana, D.S. & Singh, A.K. & Chaudhari, S.K. & Sharma, P.C. & Singh, Rajbir & Jat, H.S. & Si, 2020. "Agricultural labor, COVID-19, and potential implications for food security and air quality in the breadbasket of India," Agricultural Systems, Elsevier, vol. 185(C).
    8. Liao, Liuwen & Long, Hualou & Gao, Xiaolu & Ma, Enpu, 2019. "Effects of land use transitions and rural aging on agricultural production in China’s farming area: A perspective from changing labor employing quantity in the planting industry," Land Use Policy, Elsevier, vol. 88(C).
    9. Case, Anne, 1992. "Neighborhood influence and technological change," Regional Science and Urban Economics, Elsevier, vol. 22(3), pages 491-508, September.
    10. Verdouw, Cor & Tekinerdogan, Bedir & Beulens, Adrie & Wolfert, Sjaak, 2021. "Digital twins in smart farming," Agricultural Systems, Elsevier, vol. 189(C).
    11. Lee, Gwanghoon, 2006. "The effectiveness of international knowledge spillover channels," European Economic Review, Elsevier, vol. 50(8), pages 2075-2088, November.
    12. Liu, Chun, 2016. "Sustainability of rural informatization programs in developing countries: A case study of China׳s Sichuan province," Telecommunications Policy, Elsevier, vol. 40(7), pages 714-724.
    13. Rajagopal, 2014. "Technology Diffusion and Adoption," Palgrave Macmillan Books, in: Architecting Enterprise, chapter 6, pages 148-173, Palgrave Macmillan.
    14. 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.
    15. Jesse Tack & Jenny C. Aker, 2014. "Information, Mobile Telephony, and Traders' Search Behavior in Niger," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 96(5), pages 1439-1454.
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