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Self-developed innovation vs. government-funded support: competitive strategies in blue carbon trading under different industry–research collaboration structures

  • Fengxuan Zhang
  • , Hanjin Li
  • , Na Liu
  • , Bo Peng
  • , Hu Tian
  • , Pierre Failler*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

To clarify the complex relationships among blue carbon suppliers, research institutions, and third-party institutions, which involve both industry–research cooperation and price competition in blue carbon trading, this study is based on a new biform game method. By combining the Shapley value and Nash equilibrium, a mathematical model is constructed and solved. Starting from factors such as R&D effectiveness, additional returns, and government funding, the pricing, R&D input, and investment strategies of these key actors under different industry–research structures are examined. The results show that: (1) Under external competition, when R&D effectiveness is relatively high, third-party institutions can gain advantages through selling blue carbon at a price lower than the purchasing price to maximize the overall internal benefits of their system, and improve their own returns under a reasonable allocation mechanism. (2) Improvements in R&D effectiveness can simultaneously increase the R&D effort and investment levels of members within the focal system, and indirectly reduce the R&D effort levels of institutions in the rival system, but do not change the investment strategies of blue carbon suppliers in the rival system; therefore, institutions do not need to be overly concerned about losses caused by competition. (3) The self-directed R&D mode and the government-funded mode exhibit complementary characteristics in terms of risk protection and return potential in blue carbon trading. Starting from the pricing mechanism under a competition–cooperation framework, this study provides certain implications for future research on blue carbon pricing strategies and participation modes of stakeholders under the influence of more actors’ strategies.

Original languageEnglish
Pages (from-to)598-617
Number of pages20
JournalEconomic Analysis and Policy
Volume93
Early online date5 Aug 2026
DOIs
Publication statusPublished - 1 Sept 2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure
  2. SDG 13 - Climate Action
    SDG 13 Climate Action

Keywords

  • biform game
  • blue carbon trading
  • cooperative game
  • non-cooperative game
  • pricing strategy
  • R&D investment

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