Journal
ENERGY RESEARCH & SOCIAL SCIENCE
Volume 64, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.erss.2020.101426
Keywords
Energy policy; Science and technology policy; Renewable energy deployment; Policy learning; Technology innovation and diffusion
Categories
Funding
- National Natural Science Foundation of China [71673085]
- Fundamental Research Funds for the Central Universities [2018ZD14]
- 111 Project [B18021]
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An energy transition from fossil fuels to renewable energy is recognized as a critical way to achieve greenhouse gas mitigation goals. However, renewable energy deployment must be scaled up at least six times faster than its current pace to keep global warming below hazardous levels. The purpose of this study is to analyze the deployment process of solar photovoltaic technologies in China by applying a dynamic framework that integrates the political and socio-technical systems. We found that the status of deployment (e.g., scale and pace) is jointly shaped by political factors, socio-technical factors, and their interactions. We also found that the interactions between the two systems vary at different deployment stages. This study investigates the interdependencies between the two systems in the deployment process systematically. The complex systems raise significant challenges for policymakers who aim to achieve large-scale solar PV deployment. This study contributes to the literature by illustrating how policy learning alongside accelerating deployment can serve as a critical mechanism for overcoming deployment challenges in the face of complex system interactions.
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