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《山东大学学报(理学版)》 ›› 2024, Vol. 59 ›› Issue (9): 98-107.doi: 10.6040/j.issn.1671-9352.0.2023.327

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政府参与高速公路数字化转型的演化博弈

刘乐民1,逯峰1,付志超2,潘祖请3,谢磊3*   

  1. 1.山东高速基础设施建设有限公司, 山东 济南 250000;2.山东路科公路信息咨询有限公司, 山东 济南 250000;3.山东大学管理学院, 山东 济南 250100
  • 发布日期:2024-10-10
  • 通讯作者: 谢磊(1988— ),男,副教授,硕士生导师,博士,研究方向为供应链管理、全球采购、产能分享. E-mail:lxie@sdu.edu.cn
  • 基金资助:
    教育部人文社会科学研究青年基金项目(22YJC630029);山东省高等学校青创团队计划项目(2023RW031)

Evolutionary game on government participation in expressways digital transformation

LIU Lemin1, LU Feng1, FU Zhichao2, PAN Zuqing3, XIE Lei3*   

  1. 1. Shandong Expressway Infrastructure Construction Co., Ltd., Jinan 250000, Shandong, China;
    2. Shandong Luke Highway Information Consulting Co., Ltd., Jinan 250000, Shandong, China;
    3. School of Management, Shandong University, Jinan 250100, Shandong, China
  • Published:2024-10-10

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摘要： 引入演化博弈理论,构建政府、建设企业、承包企业的演化博弈模型,探讨政府激励对于高速公路数字化转型的策略影响,用MATLAB软件对影响高速公路数字化转型的关键因素进行仿真。研究表明:(1)转型成本、外部系数减少和转型所产生的附加收益等提高,可以显著促进企业参与数字化转型,而转型成本和外部系数较大会打击企业实施数字化转型的积极性。(2)政府激励力度达到一定水平时,会促进企业实施数字化,并且激励力度越大,越有利于企业协同参与数字化转型。综上,政府激励在一定程度上可以促进高速公路与数字经济的深度融合。

关键词: 政府激励, 高速公路, 数字化转型, 演化博弈

Abstract: By incorporating evolutionary game theory, this study develops a model of evolutionary game dynamics involving governments, construction enterprises, and contracting enterprises to investigate the strategic effects of government incentives on the digital transformation of expressways. MATLAB simulations are employed to analyze the critical factors influencing expressways digital transformation. The findings suggest that:(1)Reductions in transformation costs and external coefficients, coupled with increased additional benefits from transformation, significantly stimulate enterprise participation in digital transformation. Conversely, high transformation costs and external coefficients may dampen enterprise enthusiasm for digital transformation.(2)Government incentives, when reaching a certain threshold, can facilitate enterprise digital transformation, with higher incentive intensity fostering greater collaborative participation. In conclusion, government incentives play a pivotal role in fostering the deep integration of expressways into the digital economy.

Key words: government incentive, expressway, digital transformation, evolutionary game

中图分类号: 

  • F542
[1] 赵家明. 我国制造业创新效率及其数字化转型驱动作用研究[D]. 南京:东南大学, 2020. ZHAO Jiaming. Research on the innovation efficiency in Chinas manufacturing industry and the effect of its digitalization[D]. Nanjing: Southeast University, 2020.
[2] 赵振. “互联网+” 跨界经营:创造性破坏视角[J]. 中国工业经济, 2015(10):146-160. ZHAO Zhen. Crossover administration of “internet plus”: perspective of creative destruction[J]. China Industrial Economics, 2015(10):146-160.
[3] 张骁,吴琴,余欣. 互联网时代企业跨界颠覆式创新的逻辑[J]. 中国工业经济, 2019(3):156-174. ZHANG Xiao, WU Qin, YU Xin. The logic of cross-boundary disrupt innovation of enterprises at Internet age[J]. China Industrial Economics, 2019(3):156-174.
[4] 陈晓红,王钰,李喜华. 环境规制下区域间企业绿色技术转型策略演化稳定性研究[J]. 系统工程理论与实践, 2021, 41(7):1732-1749. CHEN Xiaohong, WANG Yu, LI Xihua. Research on green technology transformation strategy of inter-regional enterprises under environmental regulation based on evolutionary game theory[J]. Systems Engineering: Theory & Practice, 2021, 41(7):1732-1749.
[5] 姜早龙,唐佼,陈大川. 环境规制下绿色建材低碳发展的演化博弈研究:基于利益相关者视角[J]. 工业技术经济, 2022, 41(12):45-52. JIANG Zaolong, TANG Jiao, CHEN Dachuan. Evolutionary game analysis on low-carbon development of green building materials under environmental regulation: from the perspective of stakeholders[J]. Journal of Industrial Technological Economics, 2022, 41(12):45-52.
[6] 宋金昭,张军. 我国建筑企业数字化转型升级演化博弈研究[J]. 工程经济, 2022, 32(12):18-28. SONG Jinzhao, ZHANG Jun. Research on evolutionary game of digital transformation and upgrading of traditional construction enterprises in China[J]. Engineering Economy, 2022, 32(12):18-28.
[7] 韩正涛,张悟移. 农业科技协同创新中涉农企业间知识共享机制的演化博弈分析[J]. 农林经济管理学报, 2020, 19(1):55-66. HAN Zhengtao, ZHANG Wuyi. Evolutionary game analysis of knowledge sharing mechanism among agribusinesses in agricultural science and technology collaborative innovation[J]. Journal of Agro-Forestry Economics and Management, 2020, 19(1):55-66.
[8] 张广胜,徐旭. 政府参与危险品物流安全协同保障系统演化博弈研究[J]. 系统科学学报, 2024, 32(1):97-103. ZHANG Guangsheng, XU Xu. Research on evolutionary game of government participating in coordination guarantee system of dangerous goods logistics safety[J]. Chinese Journal of Systems Science, 2024, 32(1):97-103.
[9] 张月华,周叶,杨俊清. 冷链物流平台生态系统的演化博弈与仿真分析[J]. 科技管理研究, 2022, 42(18):173-181. ZHANG Yuehua, ZHOU Ye, YANG Junqing. Evolutionary game and simulation analysis on cold chain logistics platform ecosystem[J]. Science and Technology Management Research, 2022, 42(18):173-181.
[10] ZHANG K C, JIANG K, YANG Y. Application research of BIM technology in bridge reconstruction and extension engineering[J]. IOP Conference Series: Earth and Environmental Science, 2020, 510(5):052091.
[11] SONG L, YANG Z X, DONG G Q, et al. Construction of expressway emergency rescue information management system using browser/server framework[C] //2011 International Conference on Networking, Sensing and Control. Delft: IEEE, 2011:341-346.
[12] SINGH R, SHARMA R, VASEEM AKRAM S, et al. Highway 4.0: digitalization of highways for vulnerable road safety development with intelligent IoT sensors and machine learning[J]. Safety Science, 2021, 143:105407.
[13] HAN C J, TANG F L, MA T, et al. Construction quality evaluation of asphalt pavement based on BIM and GIS[J]. Automation in Construction, 2022, 141:104398.
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