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The Effect of Information Acquisition Ability on Farmers’ Agricultural Productive Service Behavior: An Empirical Analysis of Corn Farmers in Northeast China

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  • Shoumin Yue

    (College of Economics and Management, Shenyang Agricultural University, Shenyang 110866, China)

  • Ying Xue

    (College of Economics and Management, Shenyang Agricultural University, Shenyang 110866, China)

  • Jie Lyu

    (College of Economics and Management, Shenyang Agricultural University, Shenyang 110866, China)

  • Kangkang Wang

    (College of Economics and Management, Shenyang Agricultural University, Shenyang 110866, China)

Abstract

Agricultural productive services are an important means to achieve effective allocation of regional resources and play an important role in ensuring food security and improving farmers’ welfare. However, the development process of agricultural productive services still faces problems such as large differences in service levels in different segments and low participation rates in the full service. In order to investigate the influential paths of the low participation rate of farmers in the full-service process, this study takes maize farmers in northeast China as the research object. Based on 937 survey data from six cities in three northeastern provinces, we used the Item Response Theory (IRT) model to measure farmers’ information acquisition ability and constructed the Heckman two-stage model and the IV-Heckman model to analyze the logical framework of “information acquisition ability—farmers’ choice of productive agricultural services”. The main findings are as follows: firstly, the more channels there are, the stronger the farmers’ channel internalities; the higher the degree of channel differentiation, the stronger the farmers’ channel internalities. Second, after addressing the sample selection bias and endogeneity, there is a small rise in the facilitation effect of information acquisition ability on farmers’ productive agricultural service behavior. Third, this facilitation effect is achieved through farmers’ perceived usefulness of productive agricultural services, and the mediating effect of perceived ease of use is not significant. Therefore, fostering farmers’ self-perceptions and optimizing information delivery strategies are effective ways to promote farmers’ choice of agricultural productive services and to facilitate the modernization of Chinese agriculture. In general, this study helps to reveal the theoretical mechanism of farmers’ information asymmetry, and provides empirical evidence for how to promote the development of agricultural productive services.

Suggested Citation

  • Shoumin Yue & Ying Xue & Jie Lyu & Kangkang Wang, 2023. "The Effect of Information Acquisition Ability on Farmers’ Agricultural Productive Service Behavior: An Empirical Analysis of Corn Farmers in Northeast China," Agriculture, MDPI, vol. 13(3), pages 1-26, February.
    • Handle: RePEc:gam:jagris:v:13:y:2023:i:3:p:573-:d:1081431
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    References listed on IDEAS

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    1. Yingyu Zhu & Junmiao Deng & Menghan Wang & Yuanchang Tan & Wei Yao & Yan Zhang, 2022. "Can Agricultural Productive Services Promote Agricultural Environmental Efficiency in China?," IJERPH, MDPI, vol. 19(15), pages 1-18, July.
    2. Kim, Jeong-Bon & Li, Yinghua & Zhang, Liandong, 2011. "CFOs versus CEOs: Equity incentives and crashes," Journal of Financial Economics, Elsevier, vol. 101(3), pages 713-730, September.
    3. Habitamu Asifawu Tonch & Wook Sohn, 2022. "The impact of informal credit on household welfare: evidence from rural Ethiopia," Applied Economics Letters, Taylor & Francis Journals, vol. 29(1), pages 12-16, January.
    4. Zhang, Xiaobo & Yang, Jin & Reardon, Thomas, 2020. "Mechanization outsourcing clusters and division of labor in Chinese agriculture," IFPRI book chapters, in: An evolving paradigm of agricultural mechanization development: How much can Africa learn from Asia?, chapter 2, pages 71-96, International Food Policy Research Institute (IFPRI).
    5. Ruining Li & Yanli Yu, 2022. "Impacts of Green Production Behaviors on the Income Effect of Rice Farmers from the Perspective of Outsourcing Services: Evidence from the Rice Region in Northwest China," Agriculture, MDPI, vol. 12(10), pages 1-27, October.
    6. Zhe Chen & Apurbo Sarkar & Md. Shakhawat Hossain & Xiaojing Li & Xianli Xia, 2021. "Household Labour Migration and Farmers’ Access to Productive Agricultural Services: A Case Study from Chinese Provinces," Agriculture, MDPI, vol. 11(10), pages 1-20, October.
    7. Wozniak, Gregory D, 1993. "Joint Information Acquisition and New Technology Adoption: Late versus Early Adoption," The Review of Economics and Statistics, MIT Press, vol. 75(3), pages 438-445, August.
    8. Yari Vecchio & Giulio Paolo Agnusdei & Pier Paolo Miglietta & Fabian Capitanio, 2020. "Adoption of Precision Farming Tools: The Case of Italian Farmers," IJERPH, MDPI, vol. 17(3), pages 1-16, January.
    9. Meng Qu & Kai Zhao & Renhui Zhang & Yuan Gao & Jing Wang, 2022. "Divergence between Willingness and Behavior of Farmers to Purchase Socialized Agricultural Services: From a Heterogeneity Perspective of Land Scale," Land, MDPI, vol. 11(8), pages 1-21, July.
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    1. Zhang, Congying & Xiang, Jingru & Chang, Qian, 2023. "Does Informatization Cause the Relative Substitution Bias of Agricultural Machinery Inputs for Labor Inputs? Evidence from Apple Farmers in China," Research on World Agricultural Economy, Nan Yang Academy of Sciences Pte Ltd (NASS), vol. 4(3), September.
    2. Xiaozeng Wang & Jiabin Chen & Xingyan Du, 2024. "Understanding the impact of Internet access on farmers' willingness to participate in farmer professional cooperatives," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 70(7), pages 349-361.
    3. Weihong Huang & Caiyan Yang & Ke Liu & Rui Min, 2023. "Information Acquisition Ability and Farmers’ Herd Behavior in Rice–Crayfish Coculture System Adoption," Agriculture, MDPI, vol. 13(10), pages 1-15, September.
    4. Zheng Li & Disheng Zhang & Xiaohuan Yan, 2024. "How Does Information Acquisition Ability Affect Farmers’ Green Production Behaviors: Evidence from Chinese Apple Growers," Agriculture, MDPI, vol. 14(5), pages 1-17, April.
    5. Caiyan Yang & Weihong Huang & Yu Xiao & Zhenhong Qi & Yan Li & Kun Zhang, 2024. "Adoption of Fertilizer-Reduction and Efficiency-Increasing Technologies in China: The Role of Information Acquisition Ability," Agriculture, MDPI, vol. 14(8), pages 1-18, August.
    6. Chengze Li & Dianwei Zhang & Qian Lu & Jiajing Wei & Qingsong Zhang, 2024. "Production Process Outsourcing, Farmers’ Operation Capability, and Income-Enhancing Effects," Agriculture, MDPI, vol. 14(9), pages 1-20, August.

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