globalchange  > 气候变化与战略
DOI: 10.1016/j.enpol.2021.112217
论文题名:
An evolutionary analysis on the effect of government policies on green R & D of photovoltaic industry diffusion in complex network
作者: Chen F.; Wu B.; Lou W.
刊名: Energy Policy
ISSN: 03014215
出版年: 2021
卷: 152
语种: 英语
中文关键词: Camouflage R & D ; Complex network ; Diffusion ; Evolutionary game ; Green R & D ; Photovoltaic industry
英文关键词: Complex networks ; Diffusion ; Taxation ; Incentive policies ; Information asymmetry ; Photovoltaic industry ; Preferential policies ; Quota systems ; Tax incentive ; Green manufacturing ; energy policy ; photovoltaic system ; policy implementation ; research and development ; tax system
英文摘要: 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. © 2021 Elsevier Ltd
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/167723
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作者单位: School of Economics and Management, Southeast University, Nanjing, 210096, China

Recommended Citation:
Chen F.,Wu B.,Lou W.. An evolutionary analysis on the effect of government policies on green R & D of photovoltaic industry diffusion in complex network[J]. Energy Policy,2021-01-01,152
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