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

Feng Chen, Bin Wu and Wenqian Lou

Energy Policy, 2021, vol. 152, issue C

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.

Keywords: Photovoltaic industry; Green R & D; Camouflage R & D; Complex network; Evolutionary game; Diffusion (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1016/j.enpol.2021.112217

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