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Chinese Journal of Management Science ›› 2024, Vol. 32 ›› Issue (3): 82-94.doi: 10.16381/j.cnki.issn1003-207x.2022.1914

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Research on Innovation Strategy for Renewable Power Generation Enterprises under the Background of Carbon Trading Mechanism——from the Perspective of Evolutionary Game

Cheng Cheng1,Runfei An1,Kangyin Dong2(),Xiaohang Ren3,Zhen Wang4,Guohao Zhao5   

  1. 1.School of Management and Science, Shanxi University of Finance and Economics, Taiyuan 030006, China
    2.School of International Trade and Economics, University of International Business and Economics, Beijing 100029, China
    3.Business School, Central South University, Changsha 410083, China
    4.School of Economics and Management, China University of Petroleum-Beijing, Beijing, 102249, China
    5.School of Business Administration, Shanxi University of Finance and Economics, Taiyuan 030006, China
  • Received:2022-08-31 Revised:2022-11-06 Online:2024-03-25 Published:2024-03-25
  • Contact: Kangyin Dong E-mail:dongkangyin@uibe.edu.cn

Abstract:

Technological innovation is crucial for the renewable power generation enterprises as it can help the enterprises to gain additional profits and reduce their costs. However, the cost of technological innovation is huge. Therefore, the Chinese government tend to provide subsidy to facilitate the innovation process related to renewable technology. As a result, the Chinese government and renewable power generation enterprises are two players with regards to technological innovation and incentive policy. The establishment of trading market of carbon emission changes the game as renewable enterprises can obtain additional profits by involving in Chinese Certified Emission Reduction (CCER) market. Therefore, it is necessary to investigate the new game between renewable power generation enterprises and the Chinese government under the background of carbon trading mechanism. The evolutionary game related to the innovation behavior of renewable energy enterprises and incentive issues of the government is studied. By considering the success probability of research and development (R&D), R&D cycle time and other factors, the discounted costs and benefits related to the innovation behavior are obtained. Then, the payoff matrix based on these parameters are established. The evolutionary stable strategy of both the static incentive and punishment scenario and the dynamic incentive and punishment scenario are obtained. Moreover, the impact of the continuous R&D cost, success probability, additional purchase cost and other parameters is analyzed in the dynamic incentive and punishment scenario. The results indicate that: There exists a unique evolutionary stable strategy for both parties in the dynamic incentive and punishment scenario. The development of emission trading market is beneficial for the technological innovation as it utilized the power of invisible hand provided by emission trading market. The marketization of power prices can also improve the technological levels in renewable energy industry. The government can also stimulate the process of technological innovation by reducing its expenditure on providing supporting schemes. The results are useful for both the government and the renewable power generation enterprises.

Key words: innovation strategy, carbon reduction, renewable energy, evolutionary game, simulation analysis

CLC Number: