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Multi-agent-based simulation on technology innovation-diffusion in China

Author

Listed:
  • Zheng Wang
  • Zixuan Yao
  • Gaoxiang Gu
  • Fei Hu
  • Xiaoye Dai

Abstract

type="main" xml:lang="es"> Se ha desarrollado un modelo de innovación-difusión a partir de modelización basada en agentes (MBA); el modelo se utiliza para estudiar la innovación técnica y su proceso de difusión en China. Los resultados son los siguientes: sólo una pequeña fracción de las empresas realizan una innovación de producto independiente, y la mayoría de las empresas prefieren la imitación o la adquisición; la mayoría de las empresas innovadoras se encuentran en el Oriente; aproximadamente tres o cuatro productos de generación de tecnología pueden coexistir en el mercado; las políticas preferenciales pueden acelerar el proceso de difusión de la innovación y mejorar la economía de las zonas menos desarrolladas, especialmente en la parte central de China; por último, las políticas preferenciales también pueden mejorar el atractivo laboral de las zonas Central, Occidental y Nororiental y reducir la emigración al Oriente.

Suggested Citation

  • Zheng Wang & Zixuan Yao & Gaoxiang Gu & Fei Hu & Xiaoye Dai, 2014. "Multi-agent-based simulation on technology innovation-diffusion in China," Papers in Regional Science, Wiley Blackwell, vol. 93(2), pages 385-408, June.
    • Handle: RePEc:bla:presci:v:93:y:2014:i:2:p:385-408
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    File URL: http://hdl.handle.net/10.1111/pirs.12069
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    Citations

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    Cited by:

    1. Qiang Liu & Shengxia Xu & Xiaoli Lu, 2020. "Imbalance measurement of regional economic quality development: evidence from China," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 65(2), pages 527-556, October.
    2. Zhangqi, Zhong & Zhuli, Chen & Lingyun, He, 2022. "Technological innovation, industrial structural change and carbon emission transferring via trade-------An agent-based modeling approach," Technovation, Elsevier, vol. 110(C).
    3. Zhangqi Zhong & Lingyun He, 2022. "Macro-Regional Economic Structural Change Driven by Micro-founded Technological Innovation Diffusion: An Agent-Based Computational Economic Modeling Approach," Computational Economics, Springer;Society for Computational Economics, vol. 59(2), pages 471-525, February.
    4. Gu, Gaoxiang & Wang, Zheng & Wu, Leying, 2021. "Carbon emission reductions under global low-carbon technology transfer and its policy mix with R&D improvement," Energy, Elsevier, vol. 216(C).
    5. Xiaodong Li & Li Huang & Ai Ren & Qi Li & Xuejin Zeng, 2022. "The Effect of Production Structure Roundaboutness on the Innovation Capability of High-Tech Enterprises—The Mediating Role of Technology Absorption Path," Sustainability, MDPI, vol. 14(9), pages 1-14, April.
    6. Valeriy Makarov & Albert Bakhtizin & Elena Sushko & Alina Ageeva, 2018. "An Agent-Based Model of Eurasia and Simulation of Consequences of Large Infrastructure Projects," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(4), pages 1102-1116.
    7. Gu, Gaoxiang & Wang, Zheng, 2018. "China’s carbon emissions abatement under industrial restructuring by investment restriction," Structural Change and Economic Dynamics, Elsevier, vol. 47(C), pages 133-144.
    8. Rizzati, Massimiliano & Landoni, Matteo, 2024. "A systematic review of agent-based modelling in the circular economy: Insights towards a general model," Structural Change and Economic Dynamics, Elsevier, vol. 69(C), pages 617-631.
    9. Florian Chávez-Juárez, 2017. "On the Role of Agent-based Modeling in the Theory of Development Economics," Review of Development Economics, Wiley Blackwell, vol. 21(3), pages 713-730, August.
    10. Gu, Gaoxiang & Wang, Zheng, 2018. "Research on global carbon abatement driven by R&D investment in the context of INDCs," Energy, Elsevier, vol. 148(C), pages 662-675.

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