Research article

Research on digital transformation strategy and subsidy mechanism of manufacturing supply chain based on differential game

  • Received: 03 May 2023 Revised: 08 July 2023 Accepted: 17 July 2023 Published: 07 August 2023
  • MSC : 91A23

  • In the current research on the impact of the government on the digital transformation of enterprises, scholars have neglected the synergies of the supply chain and the mechanisms for regulating and assessing the subsequent behaviour of enterprises. Therefore, this paper uses differential games to study the optimal strategy of cost sharing in manufacturing supply chains during the digital transformation of upstream and downstream firms with government subsidies. The equilibrium game strategy is used with the government and parts of the supply chain as players under different models of cooperation, independent operation and government awards and punishments. For each model, the equilibrium results are solved, compared and simulated. The results show that the government reward and punishment mechanism can effectively suppress the "double marginal effect" and improve digitalization and benefits of enterprises. Meanwhile, the benefit level of enterprises under the government reward and punishment mechanism is related to the target digitalization level and the strength of the reward and punishment. When the target digitization level is relatively low at the early stage of digital transformation, the government reward and punishment mechanism is more likely to promote the level of benefits of enterprises. When the target digitalization level is relatively high in the middle and late stages of digital transformation, the government needs to reasonably set the strength of the reward and punishment in order to effectively promote digitalization and economic development.

    Citation: Zifu Fan, Wanyan Xu, Wei Zhang. Research on digital transformation strategy and subsidy mechanism of manufacturing supply chain based on differential game[J]. AIMS Mathematics, 2023, 8(10): 23850-23870. doi: 10.3934/math.20231216

    Related Papers:

  • In the current research on the impact of the government on the digital transformation of enterprises, scholars have neglected the synergies of the supply chain and the mechanisms for regulating and assessing the subsequent behaviour of enterprises. Therefore, this paper uses differential games to study the optimal strategy of cost sharing in manufacturing supply chains during the digital transformation of upstream and downstream firms with government subsidies. The equilibrium game strategy is used with the government and parts of the supply chain as players under different models of cooperation, independent operation and government awards and punishments. For each model, the equilibrium results are solved, compared and simulated. The results show that the government reward and punishment mechanism can effectively suppress the "double marginal effect" and improve digitalization and benefits of enterprises. Meanwhile, the benefit level of enterprises under the government reward and punishment mechanism is related to the target digitalization level and the strength of the reward and punishment. When the target digitization level is relatively low at the early stage of digital transformation, the government reward and punishment mechanism is more likely to promote the level of benefits of enterprises. When the target digitalization level is relatively high in the middle and late stages of digital transformation, the government needs to reasonably set the strength of the reward and punishment in order to effectively promote digitalization and economic development.



    加载中


    [1] X. Zhang, Z. Dong, Digital transformation and enterprise technology innovation-mechanism identification, guarantee condition analysis and heterogeneity test (Chinese), Economic Review, 239 (2023), 3–18. https://doi.org/0.19361/j.er.2023.01.01
    [2] N. Chen, Y. Cai, Y. Ma, Motivations, patterns and effectiveness of digital transformation in manufacturing industry: an empirical analysis based on typical cases and questionnaires (Chinese), Reform, 345 (2022), 37–53.
    [3] K. Nayal, R. Raut, V. Yadav, P. Priyadarshinee, B. Narkhede, The impact of sustainable development strategy on sustainable supply chain firm performance in the digital transformation era, Bus. Strateg. Environ., 31 (2022), 845–859. https://doi.org/10.1002/bse.2921 doi: 10.1002/bse.2921
    [4] C. Kong, Z. Ding, The inner mechanism and realization path of digital transformation of manufacturing industry (Chinese), Reform of Economic System, 231 (2021), 98–105.
    [5] C. Wu, K. Zhang, X. Chen, A study on transformation path of digitalization of the traditional manufacturing firm: a three-stage evolutionary model based on structure-agency perspective (Chinese), Journal of Shandong University (Philosophy and Social Sciences), 04 (2022), 121–135. https://doi.org/10.19836/j.cnki.37-1100/c.2022.04.012 doi: 10.19836/j.cnki.37-1100/c.2022.04.012
    [6] H. Zhang, X. Gu, Equilibrium analysis of manufacturers' digital transformation under supply chain competition (Chinese), Chinese Journal of Management Science, in press. https://doi.org/10.16381/j.cnki.issn1003-207x.2021.1572
    [7] X. Li, X. Ai, X. Tang, Innovation driven the vertical integration decision of competitive supply chain (Chinese), Journal of Industrial Engineering and Engineering Management, 32 (2018), 151–158. https://doi.org/10.13587/j.cnki.jieem.2018.02.017 doi: 10.13587/j.cnki.jieem.2018.02.017
    [8] J. Zhao, T. Meng, Technology empowerment: how blockchain reshapes governance structures and models (Chinese), Contemporary World & Socialism, 139 (2019), 187–194. https://doi.org/10.16502/j.cnki.11-3404/d.2019.03.024 doi: 10.16502/j.cnki.11-3404/d.2019.03.024
    [9] W. Feng, Digital transformation path and countermeasures of manufacturing industry in the context of digital economy (Chinese), Contemporary Economic Research, 308 (2021), 105–112.
    [10] W. Zhai, X. Zhang, The impact of supply chain management on digital input of manufacturing enterprises (Chinese), China Business and Market, 35 (2021), 82–92. https://doi.org/10.14089/j.cnki.cn11-3664/f.2021.10.009 doi: 10.14089/j.cnki.cn11-3664/f.2021.10.009
    [11] X. Zhu, How supply chain elasticity affects supply chain performance: the mediating effect of sustainability (Chinese), China Business and Market, 33 (2019), 42–54. https://doi.org/10.14089/j.cnki.cn11-3664/f.2019.12.005 doi: 10.14089/j.cnki.cn11-3664/f.2019.12.005
    [12] L. Zhang, G. Dai, Y. Xiong, W. Geng, Evaluation of digital transformation in Chinese manufacturing industry and its influencing factors-a qualitative comparative analysis based on fuzzy sets (Chinese), Science and Technology Management Research, 42 (2022), 68–78.
    [13] F. Wu, X. Chang, X. Ren, Government-driven innovation: fiscal science and technology spending and digital transformation of enterprises (Chinese), Public Finance Research, 455 (2021), 102–115. https://doi.org/10.19477/j.cnki.11-1077/f.2021.01.008 doi: 10.19477/j.cnki.11-1077/f.2021.01.008
    [14] H. Chen, Y. Huang, The impact of government innovation subsidies on firms' digital transformation-empirical evidence based on A-share listed companies (Chinese), South China Finance, 552 (2022), 19–32.
    [15] H. Zeng, Do tax incentives promote digital transformation of firms: empirical evidence based on forward-looking effective tax rates (Chinese), Modern Finance and Economics-Journal of Tianjin University of Finance and Economics, 42 (2022), 38–55. https://doi.org/10.19559/j.cnki.12-1387.2022.10.003 doi: 10.19559/j.cnki.12-1387.2022.10.003
    [16] D. Fan, Y. Wang, A study on the impact of digital transformation of traditional enterprises on their innovation-a case study of automobile manufacturing enterprises (Chinese), Soft Science, 36 (2022), 63–70. https://doi.org/10.13956/j.ss.1001-8409.2022.06.09 doi: 10.13956/j.ss.1001-8409.2022.06.09
    [17] D. Yu, C. Wang, L. Chen, Government subsidies, industry chain synergy and enterprise digitalization (Chinese), Business and Management Journal, 44 (2022), 63–82. https://doi.org/10.19616/j.cnki.bmj.2022.05.004
    [18] I. Sebastian, M. Mocker, J. Ross, K. Moloney, C. Beath, N. Fonstad, How big old companies navigate digital transformation, MIS Q. Exec., 16 (2017), 197–213.
    [19] H. Xu, D. Tan, Research on regional cooperation pollution control and dynamic income distribution strategy (Chinese), Chinese Journal of Management Science, 29 (2021), 65–76. https://doi.org/10.16381/j.cnki.issn1003-207x.2019.0620 doi: 10.16381/j.cnki.issn1003-207x.2019.0620
    [20] C. Xu, Q. Wang, A differential game model of low carbon goodwill in supply chains considering government participation (Chinese), Operations Research and Management Science, 29 (2020), 35–44.
    [21] F. El Ouardighi, K. Kogan, Dynamic conformance and design quality in a supply chain: an assessment of contract's coordinating power, Ann. Oper. Res., 211 (2013), 137–166. https://doi.org/10.1007/s10479-013-1414-4 doi: 10.1007/s10479-013-1414-4
    [22] D. Wang, T. Wang, Dynamic optimization of supply chain cooperative emission reduction and promotion under government subsidies (Chinese), Journal of Systems & Management, 30 (2021), 14–27.
    [23] F. El Ouardighi, Supply quality management with optimal wholesale price and revenue sharing contracts: a two-stage game approach, Int. J. Prod. Econ., 156 (2014), 260–268. https://doi.org/10.1016/j.ijpe.2014.06.006
  • Reader Comments
  • © 2023 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(1103) PDF downloads(101) Cited by(2)

Article outline

Figures and Tables

Figures(9)  /  Tables(1)

Other Articles By Authors

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog