42
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Evolutionary game analysis on collaborative logistics diffusion considering diminishing marginal utility under dynamic productivity

, &
Article: 2339388 | Received 10 Jan 2024, Accepted 01 Apr 2024, Published online: 02 May 2024

References

  • Agrell, P. J., Lundin, J., & Norrman, A. (2017). Supply chain management: Horizontal carrier coordination through cooperative governance structures. International Journal of Production Economics, 194, 59–72. https://doi.org/10.1016/j.ijpe.2016.10.025
  • Alkhatib, S. F., Darlington, R., Yang, Z., & Nguyen, T. T. (2015). A novel technique for evaluating and selecting logistics service providers based on the logistics resource view. Expert Systems with Applications, 42(20), 6976–6989. https://doi.org/10.1016/j.eswa.2015.05.010
  • Andrea, R. (2017). Collaborative Logistics Networks.
  • Anonymous. (2010). Measurement of productivity index with dynamic DEA. International Journal of Operational Research, 8(2), 247–260. https://doi.org/10.1504/ijor.2010.03314
  • Beattie, B. R., & LaFrance, J. T. (2006). The law of demand versus diminishing marginal utility. Review of Agricultural Economics, 28(2), 262–271. https://doi.org/10.1111/j.1467-9353.2006.00286.x
  • Chabot, T., Bouchard, F., Legault-Michaud, A., Renaud, J., & Coelho, L. C. (2018). Service level, cost and environmental optimization of collaborative transportation. Transportation Research Part E: Logistics and Transportation Review, 110, 1–14. https://doi.org/10.1016/j.tre.2017.11.008
  • Chateauneuf, A., & Cohen, M. (1994). Risk seeking with diminishing marginal utility in a non-expected utility model. Journal of Risk and Uncertainty, 9(1), 77–91. https://doi.org/10.1007/BF01073404
  • Chen, S., Bravo-Melgarejo, S., Mongeau, R., & Malavolti, E. (2023). Adopting and diffusing hydrogen technology in air transport: An evolutionary game theory approach. Energy Economics, 125, 106864. https://doi.org/10.1016/j.eneco.2023.106864
  • Cobb, C., & Douglas, P.H. (1928). A theory of production. American Economic Review, 18, 139–165.
  • Cruijssen, F., Cools, M., & Dullaert, W. (2007a). Horizontal cooperation in logistics: Opportunities and impediments. Transportation Research Part E: Logistics and Transportation Review, 43(2), 129–142. https://doi.org/10.1016/j.tre.2005.09.007
  • Cruijssen, F., Dullaert, W., & Fleuren, H. (2007b). Horizontal cooperation in transport and logistics: A literature review. Transportation Journal, 46(3), 22–39. https://doi.org/10.2307/20713677
  • Dong, T., Yin, S., & Zhang, N. (2023). The interaction mechanism and dynamic evolution of digital green innovation in the integrated green building supply chain. Systems, 11(3), 122. https://doi.org/10.3390/systems11030122
  • Easterlin, R. A. (2005). Diminishing marginal utility of income? Caveat emptor. Social Indicators Research, 70(3), 243–255. https://doi.org/10.1007/s11205-004-8393-4
  • Fan, R., & Dong, L. (2018). The dynamic analysis and simulation of government subsidy strategies in low-carbon diffusion considering the behavior of heterogeneous agents. Energy Policy, 117, 252–262. https://doi.org/10.1016/j.enpol.2017.12.003
  • Ferrell, W., Ellis, K., Kaminsky, P., & Rainwater, C. (2019). Horizontal collaboration: Opportunities for improved logistics planning. International Journal of Production Research, 58(14), 4267–4284. https://doi.org/10.1080/00207543.2019.1651457
  • Friedman, D. (1991). Evolutionary games in economics. Econometrica, 59(3), 637–666. https://doi.org/10.2307/2938222
  • Guajardo, M., Rönnqvist, M., Flisberg, P., & Frisk, M. (2018). Collaborative transportation with overlapping coalitions. European Journal of Operational Research, 271(1), 238–249. https://doi.org/10.1016/j.ejor.2018.05.001
  • Hosseini-Motlagh, S.-M., Choi, T.-M., Johari, M., & Nouri-Harzvili, M. (2022). A profit surplus distribution mechanism for supply chain coordination: An evolutionary game-theoretic analysis. European Journal of Operational Research, 301(2), 561–575. https://doi.org/10.1016/j.ejor.2021.10.059
  • Ilie-Zudor, E., Ekárt, A., Kemeny, Z., Buckingham, C., Welch, P., & Monostori, L. (2015). Advanced predictive-analysis-based decision support for collaborative logistics networks. Supply Chain Management: An International Journal, 20(4), 369–388. https://doi.org/10.1108/scm-10-2014-0323
  • Ji, S., Zhao, D., & Luo, R. (2019). Evolutionary game analysis on local governments and manufacturers’ behavioral strategies: Impact of phasing out subsidies for new energy vehicles. Energy, 189, 116064. https://doi.org/10.1016/j.energy.2019.116064
  • Jiang, T., Yu, Y., & Yang, B. (2022). Understanding the carbon emissions status and emissions reduction effect of China's transportation industry: Dual perspectives of the early and late stages of the economic “new normal”. Environmental Science and Pollution Research, 29(19), 28661–28674. https://doi.org/10.1007/s11356-021-18449-4
  • Jin, T., Jiang, Y., & Liu, X. (2023). Evolutionary game analysis of the impact of dynamic dual credit policy on new energy vehicles after subsidy cancellation. Applied Mathematics and Computation, 440, 127677. https://doi.org/10.1016/j.amc.2022.127677
  • Kapelko, M., Oude Lansink, A., & Stefanou, S. E. (2015). Analyzing the impact of investment spikes on dynamic productivity growth. Omega, 54, 116–124. https://doi.org/10.1016/j.omega.2015.01.010
  • Kapelko, M., Oude Lansink, A., & Stefanou, S. E. (2017). Input-Specific dynamic productivity change: Measurement and application to European dairy manufacturing firms. Journal of Agricultural Economics, 68(2), 579–599. https://doi.org/10.1111/1477-9552.12188
  • Karam, A., Reinau, K. H., & Østergaard, C. R. (2021). Horizontal collaboration in the freight transport sector: Barrier and decision-making frameworks. European Transport Research Review, 13(1). https://doi.org/10.1186/s12544-021-00512-3
  • Leitner, R., Meizer, F., Prochazka, M., & Sihn, W. (2011). Structural concepts for horizontal cooperation to increase efficiency in logistics. CIRP Journal of Manufacturing Science and Technology, 4(3), 332–337. https://doi.org/10.1016/j.cirpj.2011.01.009
  • Li, B., Wang, Q., Chen, B., Sun, T., Wang, Z., & Cheng, Y. (2022). Tripartite evolutionary game analysis of governance mechanism in Chinese WEEE recycling industry. Computers & Industrial Engineering, 167, 108045. https://doi.org/10.1016/j.cie.2022.108045
  • Li, C., Zhang, F., Cao, C., Liu, Y., & Qu, T. (2019). Organizational coordination in sustainable humanitarian supply chain: An evolutionary game approach. Journal of Cleaner Production, 219, 291–303. https://doi.org/10.1016/j.jclepro.2019.01.233
  • Li, K. J., & Jain, S. (2016). Behavior-Based pricing: An analysis of the impact of peer-induced fairness. Management Science, 62, 2705–2721. https://doi.org/10.1287/mnsc.2015.2265
  • Liao, D., & Tan, B. (2023). An evolutionary game analysis of new energy vehicles promotion considering carbon tax in post-subsidy era. Energy, 264, 126156. https://doi.org/10.1016/j.energy.2022.126156
  • Liu, H.-h., Song, Y.-y., & Yang, G.-l. (2019). Cross-efficiency evaluation in data envelopment analysis based on prospect theory. European Journal of Operational Research, 273(1), 364–375. https://doi.org/10.1016/j.ejor.2018.07.046
  • Liu, Z., Qian, Q., Hu, B., Shang, W.-L., Li, L., Zhao, Y., Zhao, Z., & Han, C. (2022). Government regulation to promote coordinated emission reduction among enterprises in the green supply chain based on evolutionary game analysis. Resources, Conservation and Recycling, 182, 106290. https://doi.org/10.1016/j.resconrec.2022.106290
  • Luo, J., Hu, M., Huang, M., & Bai, Y. (2023). How does innovation consortium promote low-carbon agricultural technology innovation: An evolutionary game analysis. Journal of Cleaner Production, 384, 135564. https://doi.org/10.1016/j.jclepro.2022.135564
  • Lyons, J., Ritter, J., Thomas, K., Militello, L., & Vincent, P. (2006). Collaborative logistics: Developing a framework to evaluate socio-technical issues in logistic-based networks. IEEE International Symposium on Collaborative Technologies and Systems, 208–214. https://doi.org/10.1109/CTS.2006.29
  • Martin, N., Verdonck, L., Caris, A., & Depaire, B. (2018). Horizontal collaboration in logistics: Decision framework and typology. Operations Management Research, 11(1-2), 32–50. https://doi.org/10.1007/s12063-018-0131-1
  • Mason, R., Doukidis, G. I., Lalwani, C., & Boughton, R. (2007). Combining vertical and horizontal collaboration for transport optimisation. Supply Chain Management: An International Journal, 12(3), 187–199. https://doi.org/10.1108/13598540710742509
  • NBS. (2020). Chian energy statistical yearbook. In E. Statistics (Hrsg.), China Statistics Press. Retrieved March 1, 2023, from https://navi.cnki.net/knavi/yearbooks/YCXME/detail?uniplatform=NZKPT&language=chs.
  • Rabin, M. (2000). Diminishing marginal utility of wealth cannot explain risk aversion.
  • Raymond, W., Mairesse, J., Mohnen, P., & Palm, F. (2015). Dynamic models of R & D, innovation and productivity: Panel data evidence for Dutch and French manufacturing. European Economic Review, 78, 285–306. https://doi.org/10.1016/j.euroecorev.2015.06.002
  • Rogers, E. M. (2003). Diffusion of innovations. Free Press.
  • Rusich, A. (2017). Collaborative Logistics Networks, Universita Degli Studi Di Trieste.
  • Shi, Y., Han, B., & Zeng, Y. (2020). Simulating policy interventions in the interfirm diffusion of low-carbon technologies: An agent-based evolutionary game model. Journal of Cleaner Production, 250, 119449. https://doi.org/10.1016/j.jclepro.2019.119449
  • Shi, Y., Wei, Z., Shahbaz, M., & Zeng, Y. (2021). Exploring the dynamics of low-carbon technology diffusion among enterprises: An evolutionary game model on a two-level heterogeneous social network. Energy Economics, 101, 105399. https://doi.org/10.1016/j.eneco.2021.105399
  • Soysal, M., Bloemhof-Ruwaard, J. M., Haijema, R., & van der Vorst, J. G. A. J. (2018). Modeling a green inventory routing problem for perishable products with horizontal collaboration. Computers & Operations Research, 89, 168–182. https://doi.org/10.1016/j.cor.2016.02.003
  • Stefansson, G., & Gammelgaard, B. (2006). Collaborative logistics management and the role of third-party service providers. International Journal of Physical Distribution & Logistics Management, 36(2), 76–92. https://doi.org/10.1108/09600030610656413
  • Sun, Q., Chen, H., Long, R., & Yang, J. (2023). Who will pay for the “bicycle cemetery”? evolutionary game analysis of recycling abandoned shared bicycles under dynamic reward and punishment. European Journal of Operational Research, 305(2), 917–929. https://doi.org/10.1016/j.ejor.2022.06.013
  • Tian, T., & Sun, S. (2022). Low-carbon transition pathways in the context of carbon-neutral: A quadrilateral evolutionary game analysis. Journal of Environmental Management, 322, 116105. https://doi.org/10.1016/j.jenvman.2022.116105
  • Union E. (2001). Commisision notice: Guidelines on the applicability of Article 81 of the EC Treaty to horizontal cooperation aggreements. Retrieved July 1, 2023.
  • Verdonck, L., Caris, A. N., Ramaekers, K., & Janssens, G. K. (2013). Collaborative logistics from the perspective of road transportation companies. Transport Reviews, 33(6), 700–719. https://doi.org/10.1080/01441647.2013.853706
  • Verstrepen, S., Cools, M., Cruijssen, F., & Dullaert, W. (2009). A dynamic framework for managing horizontal cooperation in logistics. International Journal of Logistics Systems and Management, 5(3/4), 228–248. https://doi.org/10.1504/IJLSM.2009.022497
  • Vojdani, N., Lootz, F., & Rösner, R. (2013). Optimizing empty container logistics based on a collaborative network approach. Maritime Economics & Logistics, 15(4), 467–493. https://doi.org/10.1057/mel.2013.16
  • Wang, Y., Ma, X., Liu, M., Gong, K., Liu, Y., Xu, M., & Wang, Y. (2017). Cooperation and profit allocation in two-echelon logistics joint distribution network optimization. Applied Soft Computing, 56, 143–157. https://doi.org/10.1016/j.asoc.2017.02.025
  • Wang, Y., Zhang, S., Assogba, K., Fan, J., Xu, M., & Wang, Y. (2018). Economic and environmental evaluations in the two-echelon collaborative multiple centers vehicle routing optimization. Journal of Cleaner Production, 197, 443–461. https://doi.org/10.1016/j.jclepro.2018.06.208
  • Wu, Y., Wang, X., Liu, Z., & Zhao, X. (2023). Research on low-carbon technology diffusion among enterprises in networked evolutionary game. Chaos, Solitons & Fractals, 174, 113852. https://doi.org/10.1016/j.chaos.2023.113852
  • Xu, X., Hao, J., Deng, Y., & Wang, Y. (2017). Design optimization of resource combination for collaborative logistics network under uncertainty. Applied Soft Computing, 56, 684–691. https://doi.org/10.1016/j.asoc.2016.07.036
  • Xu, X., Hao, J., Yu, L., & Deng, Y. (2019). Fuzzy optimal allocation model for task–resource assignment problem in a collaborative logistics network. IEEE Transactions on Fuzzy Systems, 27(5), 1112–1125. https://doi.org/10.1109/tfuzz.2018.2826479
  • Xu, X., Hao, J., & Zheng, Y. (2020). Multi-objective artificial bee colony algorithm for multi-stage resource leveling problem in sharing logistics network. Computers & Industrial Engineering, 142, 106338. https://doi.org/10.1016/j.cie.2020.106338
  • Xu, X., He, Y., & Ji, Q. (2021). Collaborative logistics network: A new business mode in the platform economy. International Journal of Logistics Research and Applications, 25(4-5), 791–813. https://doi.org/10.1080/13675567.2021.1926948
  • Yin, S., Wang, Y., & Xu, J. (2022). Developing a conceptual partner matching framework for digital green innovation of agricultural high-end equipment manufacturing system toward agriculture 5.0: A novel niche field model combined With fuzzy VIKOR. Frontiers in Psychology, 13, 924109. https://doi.org/10.3389/fpsyg.2022.924109
  • Yin, S., & Zhao, Y. (2024). Digital green value co-creation behavior, digital green network embedding and digital green innovation performance: Moderating effects of digital green network fragmentation. Humanities and Social Sciences Communications, 11(1), 228. https://doi.org/10.1057/s41599-024-02691-5
  • Yu, Y., & Yin, S. (2023). Incentive mechanism for the development of rural new energy industry: New energy enterprise–village collective linkages considering the quantum entanglement and benefit relationship. International Journal of Energy Research, 2023, 1675858. https://doi.org/10.1155/2023/1675858
  • Yu, Y., Yin, S., & Zhang, A. (2022). Clean energy-based rural low carbon transformation considering the supply and demand of new energy under government participation: A three-participators game model. Energy Reports, 8, 12011–12025. https://doi.org/10.1016/j.egyr.2022.09.037
  • Zeller, A., Kmenta, J., & Drèze, J. (1966). Specification and estimation of cobb-douglas production function models. Econometrica, 34(4), 784–795. https://doi.org/10.2307/1910099
  • Zhang, H., Zhu, K., Hang, Z., Zhou, D., Zhou, Y., & Xu, Z. (2022). Waste battery-to-reutilization decisions under government subsidies: An evolutionary game approach. Energy, 259, 124835. https://doi.org/10.1016/j.energy.2022.124835
  • Zhang, L., Xue, L., & Zhou, Y. (2019). How do low-carbon policies promote green diffusion among alliance-based firms in China? An evolutionary-game model of complex networks. Journal of Cleaner Production, 210, 518–529. https://doi.org/10.1016/j.jclepro.2018.11.028
  • Zhang, X., Guo, X., & Zhang, X. (2023a). Collaborative strategy within China's emission trading scheme: Evidence from a tripartite evolutionary game model. Journal of Cleaner Production, 382, 135255. https://doi.org/10.1016/j.jclepro.2022.135255
  • Zhang, X., Sun, Z., Zhang, W., Li, X., & Hu, J. (2023b). What drives horizontal logistics collaboration? A grounded theory analysis of Chinese logistics service providers. Science Progress, 106, 368504221148006. https://doi.org/10.1177/00368504221148006
  • Zhao, T., Cai, X., Lei, X., & Wang, H. (2012). Improved dynamic programming for reservoir operation optimization with a concave objective function. Journal of Water Resources Planning and Management, 138(6), 590–596. https://doi.org/10.1061/(asce)wr.1943-5452.0000205
  • Zhao, T., Zhao, J., Liu, P., & Lei, X. (2015). Evaluating the marginal utility principle for long-term hydropower scheduling. Energy Conversion and Management, 106, 213–223. https://doi.org/10.1016/j.enconman.2015.09.032
  • Zheng, S., & Luo, M. (2021). Competition or cooperation? Ports’ strategies and welfare analysis facing shipping alliances. Transportation Research Part E: Logistics and Transportation Review, 153, 102429. https://doi.org/10.1016/j.tre.2021.102429
  • Zhong, Z., Zhang, C., Jia, F., & Bijman, J. (2018). Vertical coordination and cooperative member benefits: Case studies of four dairy farmers’ cooperatives in China. Journal of Cleaner Production, 172, 2266–2277. https://doi.org/10.1016/j.jclepro.2017.11.184

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.