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Peer interaction and learning: Cross-country diffusion of solar photovoltaic technology

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  • Duan, Hongbo
  • Zhang, Gupeng
  • Wang, Shouyang
  • Fan, Ying

Abstract

We develop a two-dimensional dynamic framework in this work to theoretically and empirically capture cross-national diffusion interactions of technology innovation, including different types of learning relationships, such as so-called lead-lag, lag-lead, and simultaneous effect, and potential peer interactive relationships, such as the common relationships of mutualism, pure competition, and predator-prey. We find that external and internal effects should not be the only factors determining the penetration of photovoltaic technology—that penetration can also be governed largely by the trade-offs between the learning effect and the peer interactive effect. In effect, different combinations of learning effects and peer effects yield different results for technology penetration and market potential. Our conclusions provide effective evidence and insights for multinational technology managers to make decisions related to selecting market entry and timing and to formulating market promotion strategies.

Suggested Citation

  • Duan, Hongbo & Zhang, Gupeng & Wang, Shouyang & Fan, Ying, 2018. "Peer interaction and learning: Cross-country diffusion of solar photovoltaic technology," Journal of Business Research, Elsevier, vol. 89(C), pages 57-66.
    • Handle: RePEc:eee:jbrese:v:89:y:2018:i:c:p:57-66
    DOI: 10.1016/j.jbusres.2018.04.004
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    Cited by:

    1. Eslami, Hossein & Krishnan, Trichy, 2023. "New sustainable product adoption: The role of economic and social factors," Energy Policy, Elsevier, vol. 183(C).
    2. Zhang, Gupeng & Wang, Xiao & Duan, Hongbo & Zheng, Leven J., 2021. "How do new entrants’ pre-entry technological backgrounds impact their cross-industry innovation performances? A retrospective study of the mobile phone vendors," Technovation, Elsevier, vol. 100(C).
    3. Wang, Yitong & Fan, Ruguo & Du, Kang & Bao, Xuguang, 2023. "Exploring incentives to promote electric vehicles diffusion under subsidy abolition: An evolutionary analysis on multiplex consumer social networks," Energy, Elsevier, vol. 276(C).
    4. Heymann, Fabian & Miranda, Vladimiro & Soares, Filipe Joel & Duenas, Pablo & Perez Arriaga, Ignacio & Prata, Ricardo, 2019. "Orchestrating incentive designs to reduce adverse system-level effects of large-scale EV/PV adoption – The case of Portugal," Applied Energy, Elsevier, vol. 256(C).
    5. Li, Yanfei & Ji, Qiang & Zhang, Dayong, 2020. "Technological catching up and innovation policies in China: What is behind this largely successful story?," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
    6. Zhang, Gupeng & Xiong, Libin & Duan, Hongbo & Huang, Dujuan, 2020. "Obtaining certainty vs. creating uncertainty: Does firms’ patent filing strategy work as expected?," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    7. Felipe Moraes do Nascimento & Julio Cezar Mairesse Siluk & Fernando de Souza Savian & Taís Bisognin Garlet & José Renes Pinheiro & Carlos Ramos, 2020. "Factors for Measuring Photovoltaic Adoption from the Perspective of Operators," Sustainability, MDPI, vol. 12(8), pages 1-29, April.

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