IDEAS home Printed from https://ideas.repec.org/a/wly/jintdv/v35y2023i6p1530-1548.html
   My bibliography  Save this article

Promoting ICT adoption in rural entrepreneurship: more neighbourhood effect or more institutional incentives?—Empirical evidence from China

Author

Listed:
  • Lili Geng
  • Yongji Xue

Abstract

Although digital village projects have been vigorously promoted in China in recent years, the application rate of information and communication technology (ICT) is still low, while the ways in which governmental technology promotion turns into endogenous initiatives and the impact of informal institutions remains unclear. This study found that the neighbourhood effect, rather than institutional incentives, is decisive for ICT adoption. Perceived well‐being benefit was found to be an indispensable internal driver for ICT adoption, whereas government incentives varied across industries, producing a variety of impacts. The findings of this study provide practical insights into the effective promotion of ICT adoption, suggesting that government and community forces should be integrated, and that both cognitive and affective psychological drivers should be considered.

Suggested Citation

  • Lili Geng & Yongji Xue, 2023. "Promoting ICT adoption in rural entrepreneurship: more neighbourhood effect or more institutional incentives?—Empirical evidence from China," Journal of International Development, John Wiley & Sons, Ltd., vol. 35(6), pages 1530-1548, August.
  • Handle: RePEc:wly:jintdv:v:35:y:2023:i:6:p:1530-1548
    DOI: 10.1002/jid.3738
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/jid.3738
    Download Restriction: no

    File URL: https://libkey.io/10.1002/jid.3738?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Wenjing Li & Chuanmin Shuai & Yu Shuai & Xin Cheng & Yue Liu & Fubin Huang, 2020. "How Livelihood Assets Contribute to Sustainable Development of Smallholder Farmers," Journal of International Development, John Wiley & Sons, Ltd., vol. 32(3), pages 408-429, April.
    2. Songsermsawas, Tisorn & Baylis, Katherine R. & Chhatre, Ashwini, 2014. "Effects of Peers on Agricultural Productivity in Rural Northern India," 2014 AAEA/EAAE/CAES Joint Symposium: Social Networks, Social Media and the Economics of Food, May 29-30, 2014, Montreal, Canada 166115, Agricultural and Applied Economics Association.
    3. Nakano, Yuko & Tsusaka, Takuji W. & Aida, Takeshi & Pede, Valerien O., 2018. "Is farmer-to-farmer extension effective? The impact of training on technology adoption and rice farming productivity in Tanzania," World Development, Elsevier, vol. 105(C), pages 336-351.
    4. Sarah Fitz-Koch & Mattias Nordqvist & Sara Carter & Erik Hunter, 2018. "Entrepreneurship in the Agricultural Sector: A Literature Review and Future Research Opportunities," Entrepreneurship Theory and Practice, , vol. 42(1), pages 129-166, January.
    5. Zhou, Qingna & Gao, Ping & Chimhowu, Admos, 2019. "ICTs in the transformation of rural enterprises in China: A multi-layer perspective," Technological Forecasting and Social Change, Elsevier, vol. 145(C), pages 12-23.
    6. Alexis Habiyaremye & Glenda Kruss & Irma Booyens, 2020. "Innovation for inclusive rural transformation: the role of the state," Innovation and Development, Taylor & Francis Journals, vol. 10(2), pages 155-168, May.
    7. Yoon, Hyungseok & Yun, Sunyoung & Lee, Joosung & Phillips, Fred, 2015. "Entrepreneurship in East Asian Regional Innovation Systems: Role of social capital," Technological Forecasting and Social Change, Elsevier, vol. 100(C), pages 83-95.
    8. Alalwan, Ali Abdallah & Baabdullah, Abdullah M. & Rana, Nripendra P. & Tamilmani, Kuttimani & Dwivedi, Yogesh K., 2018. "Examining adoption of mobile internet in Saudi Arabia: Extending TAM with perceived enjoyment, innovativeness and trust," Technology in Society, Elsevier, vol. 55(C), pages 100-110.
    9. Timothy G. Conley & Christopher R. Udry, 2010. "Learning about a New Technology: Pineapple in Ghana," American Economic Review, American Economic Association, vol. 100(1), pages 35-69, March.
    10. He, Pan & Lovo, Stefania & Veronesi, Marcella, 2022. "Social networks and renewable energy technology adoption: Empirical evidence from biogas adoption in China," Energy Economics, Elsevier, vol. 106(C).
    11. Soluk, Jonas & Kammerlander, Nadine & Darwin, Solomon, 2021. "Digital entrepreneurship in developing countries: The role of institutional voids," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    12. Jebarajakirthy, Charles & Shankar, Amit, 2021. "Impact of online convenience on mobile banking adoption intention: A moderated mediation approach," Journal of Retailing and Consumer Services, Elsevier, vol. 58(C).
    13. Alessandro Scuderi & Giovanni La Via & Giuseppe Timpanaro & Luisa Sturiale, 2022. "The Digital Applications of “Agriculture 4.0”: Strategic Opportunity for the Development of the Italian Citrus Chain," Agriculture, MDPI, vol. 12(3), pages 1-13, March.
    14. Chopdar, Prasanta Kr & Balakrishnan, Janarthanan, 2020. "Consumers response towards mobile commerce applications: S-O-R approach," International Journal of Information Management, Elsevier, vol. 53(C).
    15. Leonardo Bursztyn & Florian Ederer & Bruno Ferman & Noam Yuchtman, 2014. "Understanding Mechanisms Underlying Peer Effects: Evidence From a Field Experiment on Financial Decisions," Econometrica, Econometric Society, vol. 82(4), pages 1273-1301, July.
    16. Adnan Mustafa AlBar & Md. Rakibul Hoque, 2019. "Factors affecting the adoption of information and communication technology in small and medium enterprises: a perspective from rural Saudi Arabia," Information Technology for Development, Taylor & Francis Journals, vol. 25(4), pages 715-738, October.
    17. Verma, Pranay & Sinha, Neena, 2018. "Integrating perceived economic wellbeing to technology acceptance model: The case of mobile based agricultural extension service," Technological Forecasting and Social Change, Elsevier, vol. 126(C), pages 207-216.
    18. Fu, Senhui & Yan, Qing & Feng, Guangchao Charles, 2018. "Who will attract you? Similarity effect among users on online purchase intention of movie tickets in the social shopping context," International Journal of Information Management, Elsevier, vol. 40(C), pages 88-102.
    19. Giua, Carlo & Materia, Valentina Cristiana & Camanzi, Luca, 2022. "Smart farming technologies adoption: Which factors play a role in the digital transition?," Technology in Society, Elsevier, vol. 68(C).
    20. 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.
    21. 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).
    22. Smirnov, Oleg A., 2010. "Modeling spatial discrete choice," Regional Science and Urban Economics, Elsevier, vol. 40(5), pages 292-298, September.
    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. Lili Geng & Huixian Hui & Xiaomeng Liang & Shaocong Yan & Yongji Xue, 2023. "Factors Affecting Intention Toward ICT Adoption in Rural Entrepreneurship: Understanding the Differences Between Business Types of Organizations and Previous Experience of Entrepreneurs," SAGE Open, , vol. 13(3), pages 21582440231, 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. Lili Geng & Huixian Hui & Xiaomeng Liang & Shaocong Yan & Yongji Xue, 2023. "Factors Affecting Intention Toward ICT Adoption in Rural Entrepreneurship: Understanding the Differences Between Business Types of Organizations and Previous Experience of Entrepreneurs," SAGE Open, , vol. 13(3), pages 21582440231, September.
    2. Osrof, Hazem Yusuf & Tan, Cheng Ling & Angappa, Gunasekaran & Yeo, Sook Fern & Tan, Kim Hua, 2023. "Adoption of smart farming technologies in field operations: A systematic review and future research agenda," Technology in Society, Elsevier, vol. 75(C).
    3. Kiichi Tokuoka, 2017. "Is stock investment contagious among siblings?," Empirical Economics, Springer, vol. 52(4), pages 1505-1528, June.
    4. Lori Beaman & Ariel BenYishay & Jeremy Magruder & Ahmed Mushfiq Mobarak, 2021. "Can Network Theory-Based Targeting Increase Technology Adoption?," American Economic Review, American Economic Association, vol. 111(6), pages 1918-1943, June.
    5. Qianchun Dai & Kequn Cheng, 2022. "What Drives the Adoption of Agricultural Green Production Technologies? An Extension of TAM in Agriculture," Sustainability, MDPI, vol. 14(21), pages 1-18, November.
    6. Riffat Ara Zannat Tama & Md Mahmudul Hoque & Ying Liu & Mohammad Jahangir Alam & Mark Yu, 2023. "An Application of Partial Least Squares Structural Equation Modeling (PLS-SEM) to Examining Farmers’ Behavioral Attitude and Intention towards Conservation Agriculture in Bangladesh," Agriculture, MDPI, vol. 13(2), pages 1-22, February.
    7. Scott, Stephanie & Hughes, Paul & Hodgkinson, Ian & Kraus, Sascha, 2019. "Technology adoption factors in the digitization of popular culture: Analyzing the online gambling market," Technological Forecasting and Social Change, Elsevier, vol. 148(C).
    8. Meena, Rahul & Sarabhai, Samar, 2023. "Extrinsic and intrinsic motivators for usage continuance of hedonic mobile apps," Journal of Retailing and Consumer Services, Elsevier, vol. 71(C).
    9. Bonan, Jacopo & Battiston, Pietro & Bleck, Jaimie & LeMay-Boucher, Philippe & Pareglio, Stefano & Sarr, Bassirou & Tavoni, Massimo, 2021. "Social interaction and technology adoption: Experimental evidence from improved cookstoves in Mali," World Development, Elsevier, vol. 144(C).
    10. Francesco Drago & Friederike Mengel & Christian Traxler, 2020. "Compliance Behavior in Networks: Evidence from a Field Experiment," American Economic Journal: Applied Economics, American Economic Association, vol. 12(2), pages 96-133, April.
    11. Antonia Grohmann & Sahra Sakha, 2015. "The Effect of Peer Observation on Consumption Choices: Experimental Evidence," Discussion Papers of DIW Berlin 1525, DIW Berlin, German Institute for Economic Research.
    12. Ivonne Angelica Castiblanco Jimenez & Laura Cristina Cepeda García & Maria Grazia Violante & Federica Marcolin & Enrico Vezzetti, 2020. "Commonly Used External TAM Variables in e-Learning, Agriculture and Virtual Reality Applications," Future Internet, MDPI, vol. 13(1), pages 1-21, December.
    13. Lu, Jian & Su, Xiang & Diao, Yajing & Wang, Nianxin & Zhou, Bin, 2021. "Does online observational learning matter? Empirical evidence from panel data," Journal of Retailing and Consumer Services, Elsevier, vol. 60(C).
    14. Atandile Ngubelanga & Rodney Duffett, 2021. "Modeling Mobile Commerce Applications’ Antecedents of Customer Satisfaction among Millennials: An Extended TAM Perspective," Sustainability, MDPI, vol. 13(11), pages 1-29, May.
    15. Michael Bailey & Drew Johnston & Theresa Kuchler & Johannes Stroebel & Arlene Wong, 2022. "Peer Effects in Product Adoption," American Economic Journal: Applied Economics, American Economic Association, vol. 14(3), pages 488-526, July.
    16. Hang Xiong & Puqing Wang & Georgiy Bobashev, 2018. "Multiple peer effects in the diffusion of innovations on social networks: a simulation study," Journal of Innovation and Entrepreneurship, Springer, vol. 7(1), pages 1-18, December.
    17. de Paula, Aureo & Rasul, Imran & Souza, Pedro, 2018. "Identifying Network Ties from Panel Data: Theory and an Application to Tax Competition," CEPR Discussion Papers 12792, C.E.P.R. Discussion Papers.
    18. Diana Martínez-Arteaga & Nolver Atanacio Arias Arias & Aquiles E. Darghan & Dursun Barrios, 2023. "Identification of Influential Factors in the Adoption of Irrigation Technologies through Neural Network Analysis: A Case Study with Oil Palm Growers," Agriculture, MDPI, vol. 13(4), pages 1-13, April.
    19. Marcel Fafchamps & Simon Quinn, 2018. "Networks and Manufacturing Firms in Africa: Results from a Randomized Field Experiment," The World Bank Economic Review, World Bank, vol. 32(3), pages 656-675.
    20. Masoud Yazdanpanah & Kurt Klein & Tahereh Zobeidi & Stefan Sieber & Katharina Löhr, 2022. "Why Have Economic Incentives Failed to Convince Farmers to Adopt Drip Irrigation in Southwestern Iran?," Sustainability, MDPI, vol. 14(4), pages 1-15, February.

    More about this item

    Statistics

    Access and download statistics

    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:wly:jintdv:v:35:y:2023:i:6:p:1530-1548. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www3.interscience.wiley.com/journal/5102/home .

    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.