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Application of Blockchain Hierarchical Model in the Realm of Rural Green Credit Investigation

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  • Haoyang Tan

    (School of Finance and Statistics, Hunan University, Changsha 410000, China)

  • Qiang Zhang

    (School of Finance and Statistics, Hunan University, Changsha 410000, China)

Abstract

In order to realize the application research of blockchain technology in the field of green credit investigation, the current paper adopts the method of a blockchain hierarchical model to study the rural green credit. With regard to the realm of rural green credit investigation, this paper sorts out the characteristics of credit data in China’s countryside by countryside credit investigation and determines the major problems and in rural green credit investigation of financial inclusion. Subsequently, the authors put forward a blockchain hierarchical model, which not only has reinforced the advantages in original blockchain dedicated to agriculture, rural areas and rural residents, such as traceability and immutability, but also has transformed the decentralization into disintermediation and changed the single-layered P2P network into a multilayered structure based on China’s rural financial environment. Finally, the authors collect and extract the proper credit investigation data on the rural internet to assess the application value of the model by investigating its practical applicability in reality and problems that may occur during the application of the model. Results show that private credit information has an important impact on the prediction accuracy, and the blockchain hierarchical model is helpful to ensure the reliability and security of rural green credit data.

Suggested Citation

  • Haoyang Tan & Qiang Zhang, 2021. "Application of Blockchain Hierarchical Model in the Realm of Rural Green Credit Investigation," Sustainability, MDPI, vol. 13(3), pages 1-9, January.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:3:p:1324-:d:488066
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    References listed on IDEAS

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    1. Shixian Ling & Guosheng Han & Dong An & William Cannon Hunter & Hui Li, 2020. "The Impact of Green Credit Policy on Technological Innovation of Firms in Pollution-Intensive Industries: Evidence from China," Sustainability, MDPI, vol. 12(11), pages 1-16, June.
    2. Chen, Ting & Wang, Derong, 2020. "Combined application of blockchain technology in fractional calculus model of supply chain financial system," Chaos, Solitons & Fractals, Elsevier, vol. 131(C).
    3. Huiying Chen & Chuanzhe Liu & Fangming Xie & Tong Zhang & Fangyuan Guan, 2019. "Green Credit and Company R&D Level: Empirical Research Based on Threshold Effects," Sustainability, MDPI, vol. 11(7), pages 1-14, March.
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    Cited by:

    1. Huo, Da & Zhang, Xiaotao & Meng, Shuang & Wu, Gang & Li, Junhang & Di, Ruoqi, 2022. "Green finance and energy efficiency: Dynamic study of the spatial externality of institutional support in a digital economy by using hidden Markov chain," Energy Economics, Elsevier, vol. 116(C).
    2. Lingling Xu & Tingting Tian, 2024. "Blockchain-enabled enterprise bleaching green regulation banking evolution game analysis," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(11), pages 27457-27483, November.
    3. Mohannad Alobid & Said Abujudeh & István Szűcs, 2022. "The Role of Blockchain in Revolutionizing the Agricultural Sector," Sustainability, MDPI, vol. 14(7), pages 1-15, April.

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