| ID | 180853 |
| Title Proper | Evolutionary analysis on the effect of government policies on green R & D of photovoltaic industry diffusion in complex network |
| Language | ENG |
| Author | Chen, Feng ; Wu, Bin ; FengChenBinWu |
| Summary / Abstract (Note) | 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. |
| `In' analytical Note | Energy Policy Vol. 152, May 2021: p.112217 |
| Journal Source | Energy Policy 2021-05 152 |
| Key Words | Photovoltaic Industry ; Green R & D ; Camouflage R & D |