IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i16p10165-d889689.html
   My bibliography  Save this article

Blockchain and Firm Total Factor Productivity: Evidence from China

Author

Listed:
  • Qilong Cao

    (Wu Jinglian School of Economics, Changzhou University, Changzhou 213000, China
    These authors contributed equally to this work.)

  • Jinglei Li

    (School of Business, Changzhou University, Changzhou 213000, China
    These authors contributed equally to this work.)

  • Hongru Zhang

    (School of Business, Changzhou University, Changzhou 213000, China)

  • Yue Liu

    (Wu Jinglian School of Economics, Changzhou University, Changzhou 213000, China)

  • Xun Luo

    (Wu Jinglian School of Economics, Changzhou University, Changzhou 213000, China)

Abstract

This paper creatively constructs blockchain development indicators using geographical characteristics to investigate the influence of blockchain development on the total factor productivity of listed companies. Our findings reveal that local blockchain development can significantly promote the improvement of the firms’ total factor productivity. To alleviate endogeneity, this paper combines exogenous policy and geographic distance to construct instrumental variables. Moreover, the positive influence is more pronounced in non-SOEs, non-excess capacity industries, and samples with high initial productivity. After the robustness test, the results are still valid. The aforementioned results provide practical implications for Chinese listed companies to lay out digital business.

Suggested Citation

  • Qilong Cao & Jinglei Li & Hongru Zhang & Yue Liu & Xun Luo, 2022. "Blockchain and Firm Total Factor Productivity: Evidence from China," Sustainability, MDPI, vol. 14(16), pages 1-15, August.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:16:p:10165-:d:889689
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/16/10165/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/16/10165/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Megha Mukim, 2015. "Coagglomeration of formal and informal industry: evidence from India," Journal of Economic Geography, Oxford University Press, vol. 15(2), pages 329-351.
    2. Jung, Juan & López-Bazo, Enrique, 2020. "On the regional impact of broadband on productivity: The case of Brazil," Telecommunications Policy, Elsevier, vol. 44(1).
    3. Zhangfeng Yao & Kunhui Ye & Liang Xiao & Xiaowei Wang, 2021. "Radiation Effect of Urban Agglomeration’s Transportation Network: Evidence from Chengdu–Chongqing Urban Agglomeration, China," Land, MDPI, vol. 10(5), pages 1-21, May.
    4. Sara Saberi & Mahtab Kouhizadeh & Joseph Sarkis & Lejia Shen, 2019. "Blockchain technology and its relationships to sustainable supply chain management," International Journal of Production Research, Taylor & Francis Journals, vol. 57(7), pages 2117-2135, April.
    5. Lee, Hsiao-Hui & Yang, S. Alex & Kim, Kijin, 2019. "The Role of Fintech in Mitigating Information Friction in Supply Chain Finance," ADB Economics Working Paper Series 599, Asian Development Bank.
    6. Du, Longzheng & Lin, Weifen, 2022. "Does the application of industrial robots overcome the Solow paradox? Evidence from China," Technology in Society, Elsevier, vol. 68(C).
    7. Andreas Fuster & Matthew Plosser & Philipp Schnabl & James Vickery, 2019. "The Role of Technology in Mortgage Lending," The Review of Financial Studies, Society for Financial Studies, vol. 32(5), pages 1854-1899.
    8. Jin, Xuejun & Ke, Yuanyuan & Chen, Xiaohui, 2022. "Credit pricing for financing of small and micro enterprises under government credit enhancement: Leverage effect or credit constraint effect," Journal of Business Research, Elsevier, vol. 138(C), pages 185-192.
    9. Robert M. Solow, 1956. "A Contribution to the Theory of Economic Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 70(1), pages 65-94.
    10. Ye, Jingjing & Zhang, Aoyang & Dong, Yan, 2019. "Banking reform and industry structure: Evidence from China," Journal of Banking & Finance, Elsevier, vol. 104(C), pages 70-84.
    11. Drew Dahl & Andrew P. Meyer & Neil Wiggins, 2017. "How Fast Will Banks Adopt New Technology This Time?," The Regional Economist, Federal Reserve Bank of St. Louis, vol. 25(4).
    12. Olley, G Steven & Pakes, Ariel, 1996. "The Dynamics of Productivity in the Telecommunications Equipment Industry," Econometrica, Econometric Society, vol. 64(6), pages 1263-1297, November.
    13. Don M. Autore & Nicholas Clarke & Danling Jiang, 2021. "Blockchain speculation or value creation? Evidence from corporate investments," Financial Management, Financial Management Association International, vol. 50(3), pages 727-746, September.
    14. Susie Ruqun WU & Gabriela Shirkey & Ilke Celik & Changliang Shao & Jiquan Chen, 2022. "A Review on the Adoption of AI, BC, and IoT in Sustainability Research," Sustainability, MDPI, vol. 14(13), pages 1-25, June.
    15. Nakatani, Ryota, 2021. "Total factor productivity enablers in the ICT industry: A cross-country firm-level analysis," Telecommunications Policy, Elsevier, vol. 45(9).
    16. Daron Acemoglu & David Autor & David Dorn & Gordon H. Hanson & Brendan Price, 2014. "Return of the Solow Paradox? IT, Productivity, and Employment in US Manufacturing," American Economic Review, American Economic Association, vol. 104(5), pages 394-399, May.
    17. Christ, Katherine L & V Helliar, Christine, 2021. "Blockchain technology and modern slavery: Reducing deceptive recruitment in migrant worker populations," Journal of Business Research, Elsevier, vol. 131(C), pages 112-120.
    18. Jack E. Triplett, 1999. "The Solow productivity paradox: what do computers do to productivity?," Canadian Journal of Economics, Canadian Economics Association, vol. 32(2), pages 309-334, April.
    19. Rinaldo Evangelista & Paolo Guerrieri & Valentina Meliciani, 2014. "The economic impact of digital technologies in Europe," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 23(8), pages 802-824, November.
    20. Anne H. Gausdal & Karen V. Czachorowski & Marina Z. Solesvik, 2018. "Applying Blockchain Technology: Evidence from Norwegian Companies," Sustainability, MDPI, vol. 10(6), pages 1-16, June.
    21. James Levinsohn & Amil Petrin, 2003. "Estimating Production Functions Using Inputs to Control for Unobservables," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 70(2), pages 317-341.
    22. Cioroianu, Iulia & Corbet, Shaen & Larkin, Charles, 2021. "The differential impact of corporate blockchain-development as conditioned by sentiment and financial desperation," Journal of Corporate Finance, Elsevier, vol. 66(C).
    23. Liang Liu & Futou Li & Ershi Qi, 2019. "Research on Risk Avoidance and Coordination of Supply Chain Subject Based on Blockchain Technology," Sustainability, MDPI, vol. 11(7), pages 1-14, April.
    24. Xingqiang Du & Wei Jian & Quan Zeng & Yingjie Du, 2014. "Corporate Environmental Responsibility in Polluting Industries: Does Religion Matter?," Journal of Business Ethics, Springer, vol. 124(3), pages 485-507, October.
    25. Minjae Yoo & Yoojae Won, 2018. "A Study on the Transparent Price Tracing System in Supply Chain Management Based on Blockchain," Sustainability, MDPI, vol. 10(11), pages 1-15, November.
    26. Queiroz, Maciel M. & Fosso Wamba, Samuel, 2019. "Blockchain adoption challenges in supply chain: An empirical investigation of the main drivers in India and the USA," International Journal of Information Management, Elsevier, vol. 46(C), pages 70-82.
    27. Davidson, Sinclair & De Filippi, Primavera & Potts, Jason, 2018. "Blockchains and the economic institutions of capitalism," Journal of Institutional Economics, Cambridge University Press, vol. 14(4), pages 639-658, August.
    Full references (including those not matched with items on IDEAS)

    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. Dutta, Pankaj & Choi, Tsan-Ming & Somani, Surabhi & Butala, Richa, 2020. "Blockchain technology in supply chain operations: Applications, challenges and research opportunities," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 142(C).
    2. Ke-Liang Wang & Ting-Ting Sun & Ru-Yu Xu, 2023. "The impact of artificial intelligence on total factor productivity: empirical evidence from China’s manufacturing enterprises," Economic Change and Restructuring, Springer, vol. 56(2), pages 1113-1146, April.
    3. Vineet Paliwal & Shalini Chandra & Suneel Sharma, 2020. "Blockchain Technology for Sustainable Supply Chain Management: A Systematic Literature Review and a Classification Framework," Sustainability, MDPI, vol. 12(18), pages 1-39, September.
    4. Yi Wang & Yafei Yang & Zhaoxiang Qin & Yefei Yang & Jun Li, 2023. "A Literature Review on the Application of Digital Technology in Achieving Green Supply Chain Management," Sustainability, MDPI, vol. 15(11), pages 1-18, May.
    5. Roberto Martino & Phu Nguyen-Van, 2014. "Labour market regulation and fiscal parameters: A structural model for European regions," Working Papers of BETA 2014-19, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    6. Dariusz Kotlewski, 2022. "Przesłanki za wykorzystaniem rachunkowości wzrostu gospodarczego w badaniu specjalizacji regionalnych," Ekonomista, Polskie Towarzystwo Ekonomiczne, issue 2, pages 235-258.
    7. Temesgen Woldamanuel Wajebo, 2024. "Determinants of Labour Demand in Manufacturing Sector in Ethiopia," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 67(3), pages 751-782, September.
    8. Konings, Jozef & Magerman, Glenn & Van Esbroeck, Dieter, 2023. "The impact of firm-level Covid rescue policies on productivity growth and reallocation," European Economic Review, Elsevier, vol. 157(C).
    9. Eric J. Bartelsman & Martin Falk & Eva Hagsten & Michael Polder, 2019. "Productivity, technological innovations and broadband connectivity: firm-level evidence for ten European countries," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 9(1), pages 25-48, March.
    10. Dai, Lu & Zhang, Jiajun & Luo, Shougui, 2022. "Effective R&D capital and total factor productivity: Evidence using spatial panel data models," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    11. Chang Xu & Jianbing Guo & Baodong Cheng & Yu Liu, 2019. "Exports, Misallocation, and Total Factor Productivity of Furniture Enterprises," Sustainability, MDPI, vol. 11(18), pages 1-14, September.
    12. Suo, Xuekun & Zhang, Longting & Guo, Rong & Lin, Han & Yu, Mingchuan & Du, Xiuhong, 2024. "The inverted U-shaped association between digital economy and corporate total factor productivity: A knowledge-based perspective," Technological Forecasting and Social Change, Elsevier, vol. 203(C).
    13. Liu, Yajie & Cui, Lijuan & Xiong, Yanyan & Yao, Xianguo, 2023. "Does the development of the Internet improve the allocative efficiency of production factors? Evidence from surveys of Chinese manufacturing firms," Structural Change and Economic Dynamics, Elsevier, vol. 66(C), pages 161-174.
    14. Laiqun Jin & Changwei Mo & Bochao Zhang & Bing Yu, 2018. "What Is the Focus of Structural Reform in China?—Comparison of the Factor Misallocation Degree within the Manufacturing Industry with a Unified Model," Sustainability, MDPI, vol. 10(11), pages 1-19, November.
    15. Bennett, Benjamin & Stulz, René & Wang, Zexi, 2020. "Does the stock market make firms more productive?," Journal of Financial Economics, Elsevier, vol. 136(2), pages 281-306.
    16. Wang, Di & He, Bin & Hu, Zhimu, 2024. "Financial technology and firm productivity: Evidence from Chinese listed enterprises," Finance Research Letters, Elsevier, vol. 63(C).
    17. Paulo Matos & Pedro Neves, 2020. "The Determinants of Total Factor Productivity in the Portuguese Quaternary Sector," GEE Papers 0149, Gabinete de Estratégia e Estudos, Ministério da Economia, revised Apr 2020.
    18. Jaramillo, Fernando & Giraldo, Iader & Echavarría, Juan José, 2019. "Protección y productividad en la industria colombiana, 1993-2011," Working papers 12, Red Investigadores de Economía.
    19. Konings, Jozef & Dhyne, Emmanuel & Van den bosch, Jeroen & ,, 2018. "The Return on Information Technology: Who Benefits Most?," CEPR Discussion Papers 13246, C.E.P.R. Discussion Papers.
    20. Li, Dongkun & Chen, Yufeng & Miao, Jiafeng, 2022. "Does ICT create a new driving force for manufacturing?—Evidence from Chinese manufacturing firms," Telecommunications Policy, Elsevier, vol. 46(1).

    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:jsusta:v:14:y:2022:i:16:p:10165-:d:889689. 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.