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An evolutionary analysis on the effect of government policies on green R & D of photovoltaic industry diffusion in complex network

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  • Chen, Feng
  • Wu, Bin
  • Lou, Wenqian

Abstract

Many countries have implemented incentive policies to support green R & D. However, the behavior of enterprises using the information asymmetry between government and enterprises to camouflage green R & D and obtain preferential policies will lead to the failure of policies. In order to explore the effectiveness of policies in stimulating green R & D, this paper studies the diffusion of green R & D in the photovoltaic industry under different scenarios of incentives and supervision. The results show that: (1) improving regulatory capacity or punishment can inhibit the behavior of enterprises camouflage as green R & D. (2) Under current policies, R & D tax incentives increasing has no obvious effect on the diffusion of green R & D. (3) When implementing the green R & D quota system (GRDQS), the diffusion of green R & D can be deduced under model, even if the R & D tax preference is cancelled. Based on our model, we believe that the GRDQS is an effective means to encourage the photovoltaic industry to carry out green R & D.

Suggested Citation

  • Chen, Feng & Wu, Bin & Lou, Wenqian, 2021. "An evolutionary analysis on the effect of government policies on green R & D of photovoltaic industry diffusion in complex network," Energy Policy, Elsevier, vol. 152(C).
    • Handle: RePEc:eee:enepol:v:152:y:2021:i:c:s0301421521000860
    DOI: 10.1016/j.enpol.2021.112217
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