IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v12y2022i9p1368-d905307.html
   My bibliography  Save this article

The Impact of Social Capital on Farmers’ Willingness to Adopt New Agricultural Technologies: Empirical Evidence from China

Author

Listed:
  • Mingyang Han

    (College of Economics and Management, Henan Agricultural University, Zhengzhou 450046, China)

  • Ruifeng Liu

    (College of Economics and Management, Henan Agricultural University, Zhengzhou 450046, China)

  • Hengyun Ma

    (College of Economics and Management, Henan Agricultural University, Zhengzhou 450046, China)

  • Kaiyang Zhong

    (School of Economic Information Engineering, Southwestern University of Finance and Economics, Chengdu 611130, China)

  • Jian Wang

    (College of Economics and Management, Henan Agricultural University, Zhengzhou 450046, China)

  • Yifan Xu

    (School of Accounting, Anhui University of Finance and Economics, Bengbu 233030, China)

Abstract

Based on the microdata of 11,547 farmers from the China Labor Dynamics Survey (CLDS) database in 2017, an ordered multi-classification logistic model was constructed to empirically test the impact of social capital (i.e., social networks, social participation, and social trust) on farmers’ willingness to adopt agricultural technology. The moderating effect of demographic changes (i.e., the number of instances of hukou migration) on social capital and farmers’ willingness to adopt new agricultural technology was further investigated. The results show that the following: (1) Social trust has a significant positive impact on farmers’ willingness to adopt new agricultural technologies, while social participation has no significant impact on farmers’ willingness to adopt new technologies. (2) Social networks influence farmers’ technology adoption behavior differently, e.g., the scope of relatives’ wedding gifts has a significant and positive influence on farmers’ technology adoption behavior, while the scope of non-relatives’ wedding gifts has no significant influence on farmers’ technology adoption behavior. (3) Demographic change plays a moderating role in the impact of social capital on farmers’ willingness to adopt new agricultural technologies. In other words, the greater the number of instances of hukou migration, the less the promoting effect of social capital on farmers’ willingness to adopt agricultural technology. (4) In the eastern and central regions of China, social capital has a significant positive impact on farmers’ adoption of new agricultural technologies. In the western region of China, social capital has a significant negative impact on farmers’ adoption of new agricultural technology. In the northeast region of China, social capital has no significant impact on farmers’ adoption of new agricultural technologies. Social capital and population changes are important factors that affect farmers’ willingness to adopt new agricultural technologies. Therefore, attention should be paid to cultivating and promoting farmers’ social capital to improve farmers’ willingness to adopt new agricultural technologies.

Suggested Citation

  • Mingyang Han & Ruifeng Liu & Hengyun Ma & Kaiyang Zhong & Jian Wang & Yifan Xu, 2022. "The Impact of Social Capital on Farmers’ Willingness to Adopt New Agricultural Technologies: Empirical Evidence from China," Agriculture, MDPI, vol. 12(9), pages 1-19, September.
  • Handle: RePEc:gam:jagris:v:12:y:2022:i:9:p:1368-:d:905307
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/12/9/1368/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2077-0472/12/9/1368/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Timothy Conley & Udry Christopher, 2001. "Social Learning Through Networks: The Adoption of New Agricultural Technologies in Ghana," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(3), pages 668-673.
    2. Lin, Justin Yifu, 1992. "Hybrid Rice Innovation in China: A Study of Market-Demand Induced Technological Innovation in a Centrally-Planned Economy," The Review of Economics and Statistics, MIT Press, vol. 74(1), pages 14-20, February.
    3. 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.
    4. Elahi, Ehsan & Zhang, Hongxia & Lirong, Xing & Khalid, Zainab & Xu, Haiyun, 2021. "Understanding cognitive and socio-psychological factors determining farmers’ intentions to use improved grassland: Implications of land use policy for sustainable pasture production," Land Use Policy, Elsevier, vol. 102(C).
    5. Agnes Quisumbing & Neha Kumar, 2011. "Does social capital build women's assets? The long-term impacts of group-based and individual dissemination of agricultural technology in Bangladesh," Journal of Development Effectiveness, Taylor & Francis Journals, vol. 3(2), pages 220-242.
    6. Domna Tzemi & James Breen, 2019. "Climate change and the agricultural sector in Ireland: examining farmer awareness and willingness to adopt new advisory mitigation tools," Climate Policy, Taylor & Francis Journals, vol. 19(5), pages 611-622, May.
    7. Chen, Chaoran, 2020. "Technology adoption, capital deepening, and international productivity differences," Journal of Development Economics, Elsevier, vol. 143(C).
    8. Abdul-Rahaman, Awal & Issahaku, Gazali & Zereyesus, Yacob A., 2021. "Improved rice variety adoption and farm production efficiency: Accounting for unobservable selection bias and technology gaps among smallholder farmers in Ghana," Technology in Society, Elsevier, vol. 64(C).
    9. Bidisha Chakraborty & Souparna Maji & Anamika Sen & Isha Mallik & Sayantan Baidya & Esha Dwibedi, 2019. "A Study on Happiness and Related Factors Among Indian College Students," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 17(1), pages 215-236, March.
    10. Feder, Gershon, 1980. "Farm Size, Risk Aversion and the Adoption of New Technology under Uncertainty," Oxford Economic Papers, Oxford University Press, vol. 32(2), pages 263-283, July.
    11. Seyi Olalekan Olawuyi & Abbyssinia Mushunje, 2019. "Social Capital and Adoption of Alternative Conservation Agricultural Practices in South-Western Nigeria," Sustainability, MDPI, vol. 11(3), pages 1-20, January.
    12. Hunecke, Claudia & Engler, Alejandra & Jara-Rojas, Roberto & Poortvliet, P. Marijn, 2017. "Understanding the role of social capital in adoption decisions: An application to irrigation technology," Agricultural Systems, Elsevier, vol. 153(C), pages 221-231.
    13. Sam Kaninda Tshikala & Genti Kostandini & Esendugue Greg Fonsah, 2019. "The Impact of Migration, Remittances and Public Transfers on Technology Adoption: The Case of Cereal Producers in Rural Kenya," Journal of Agricultural Economics, Wiley Blackwell, vol. 70(2), pages 316-331, June.
    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. Barnes, A.P. & Soto, I. & Eory, V. & Beck, B. & Balafoutis, A. & Sánchez, B. & Vangeyte, J. & Fountas, S. & van der Wal, T. & Gómez-Barbero, M., 2019. "Exploring the adoption of precision agricultural technologies: A cross regional study of EU farmers," Land Use Policy, Elsevier, vol. 80(C), pages 163-174.
    16. 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.
    17. Ge, Dazhuan & Long, Hualou & Zhang, Yingnan & Ma, Li & Li, Tingting, 2018. "Farmland transition and its influences on grain production in China," Land Use Policy, Elsevier, vol. 70(C), pages 94-105.
    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. Bin Guo & Lei Yuan & Mengyuan Lu, 2023. "Analysis of Influencing Factors of Farmers’ Homestead Revitalization Intention from the Perspective of Social Capital," Land, MDPI, vol. 12(4), pages 1-18, April.

    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. Sophie Theis & Nicole Lefore & Ruth Meinzen-Dick & Elizabeth Bryan, 2018. "What happens after technology adoption? Gendered aspects of small-scale irrigation technologies in Ethiopia, Ghana, and Tanzania," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 35(3), pages 671-684, September.
    2. Gao, Yang & Liu, Bei & Yu, Lili & Yang, Haoran & Yin, Shijiu, 2019. "Social capital, land tenure and the adoption of green control techniques by family farms: Evidence from Shandong and Henan Provinces of China," Land Use Policy, Elsevier, vol. 89(C).
    3. Du Peng & Ehsan Elahi & Zainab Khalid, 2023. "Productive Service Agglomeration, Human Capital Level, and Urban Economic Performance," Sustainability, MDPI, vol. 15(9), pages 1-25, April.
    4. Enid M. Katungi & Catherine Larochelle & Josephat R. Mugabo & Robin Buruchara, 2018. "The effect of climbing bean adoption on the welfare of smallholder common bean growers in Rwanda," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 10(1), pages 61-79, February.
    5. 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.
    6. 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.
    7. 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.
    8. Gonzalo Villa‐Cox & Francesco Cavazza & Cristian Jordan & Mijail Arias‐Hidalgo & Paúl Herrera & Ramon Espinel & Davide Viaggi & Stijn Speelman, 2021. "Understanding constraints on private irrigation adoption decisions under uncertainty in data constrained settings: A novel empirical approach tested on Ecuadorian Cocoa cultivations," Agricultural Economics, International Association of Agricultural Economists, vol. 52(6), pages 985-999, November.
    9. Balaine, Lorraine & Dillon, Emma J. & Läpple, Doris & Lynch, John, 2020. "Can technology help achieve sustainable intensification? Evidence from milk recording on Irish dairy farms," Land Use Policy, Elsevier, vol. 92(C).
    10. J Blasch & B van der Kroon & P van Beukering & R Munster & S Fabiani & P Nino & S Vanino, 2022. "Farmer preferences for adopting precision farming technologies: a case study from Italy," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 49(1), pages 33-81.
    11. Min Zhu & Haiyun Tang & Ehsan Elahi & Zainab Khalid & Kaili Wang & Nimra Nisar, 2022. "Spatial-Temporal Changes and Influencing Factors of Ecological Protection Levels in the Middle and Lower Reaches of the Yellow River," Sustainability, MDPI, vol. 14(22), pages 1-16, November.
    12. Jia, Xiangping, 2009. "Synergistic Green and White Revolution: Evidence from Kenya and Uganda," 2009 Conference, August 16-22, 2009, Beijing, China 51367, International Association of Agricultural Economists.
    13. Ruchie Pathak & Nicholas R. Magliocca, 2022. "Assessing the Representativeness of Irrigation Adoption Studies: A Meta-Study of Global Research," Agriculture, MDPI, vol. 12(12), pages 1-31, December.
    14. Shengnan Huang & Ehsan Elahi, 2022. "Farmers’ Preferences for Recycling Pesticide Packaging Waste: An Implication of a Discrete Choice Experiment Method," Sustainability, MDPI, vol. 14(21), pages 1-13, October.
    15. 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.
    16. Tolulope E. Oladimeji & Oyakhilomen Oyinbo & Abubakar A. Hassan & Oseni Yusuf, 2020. "Understanding the Interdependence and Temporal Dynamics of Smallholders’ Adoption of Soil Conservation Practices: Evidence from Nigeria," Sustainability, MDPI, vol. 12(7), pages 1-21, March.
    17. Min Zhu & Yajie Li & Zainab Khalid & Ehsan Elahi, 2023. "Comprehensive Evaluation and Promotion Strategy of Agricultural Digitalization Level," Sustainability, MDPI, vol. 15(8), pages 1-15, April.
    18. Grabowski, Philip & Schmitt Olabisi, Laura & Adebiyi, Jelili & Waldman, Kurt & Richardson, Robert & Rusinamhodzi, Leonard & Snapp, Sieglinde, 2019. "Assessing adoption potential in a risky environment: The case of perennial pigeonpea," Agricultural Systems, Elsevier, vol. 171(C), pages 89-99.
    19. Nadia A. Streletskaya & Samuel D. Bell & Maik Kecinski & Tongzhe Li & Simanti Banerjee & Leah H. Palm‐Forster & David Pannell, 2020. "Agricultural Adoption and Behavioral Economics: Bridging the Gap," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 42(1), pages 54-66, March.
    20. Yongbo Sun & Jiayuan Xing, 2022. "The Impact of Social Media Information Sharing on the Green Purchase Intention among Generation Z," Sustainability, MDPI, vol. 14(11), pages 1-22, June.

    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:jagris:v:12:y:2022:i:9:p:1368-:d:905307. 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.