Research on the cost forecast of China's photovoltaic industry

被引:8
|
作者
Wang, Xuefeng [1 ]
Li, Hairuo [2 ]
Li, Rongrong [3 ]
Li, Bing [1 ]
Zhu, Donghua [1 ]
机构
[1] Beijing Inst Technol, Sch Management & Econ, Beijing 100081, Peoples R China
[2] China North Ind Corp, Informat Ctr, Beijing 100089, Peoples R China
[3] Xinjiang Univ Finance & Econ, Sch Business & Management, Urumqi, Xinjiang, Peoples R China
基金
中国国家自然科学基金;
关键词
LEARNING-CURVE ANALYSIS; TECHNOLOGICAL-CHANGE; KNOWLEDGE; UNCERTAINTY; IMPROVEMENT;
D O I
10.1111/radm.12102
中图分类号
F [经济];
学科分类号
02 ;
摘要
Global energy and environmental problems are increasing in severity. Countries worldwide are more concerned about and are paying greater attention to strengthening their energy-saving and emissions-reduction efforts, protecting the environment and promoting the development of new energy. Solar energy is becoming the mainstream of the global power industry because of its significant resources and low cost. This paper provides an overview of the current state-of-the-art of photovoltaic electricity technology ('photovoltaic'or PV) in China and addresses its potential for future cost reductions. This paper analyses the relationship between current renewable energy costs and cumulative production, development and demonstration expenditures, and other institutional influences. The theoretical framework of a learning curve offers a complete methodology for examining the underlying capital cost trajectory when developing electricity cost estimates used in energy policy planning models. The cumulative production needed to achieve 'break-even' (the point at which PV is competitive with conventional alternatives) is estimated for a range of learning curve parameter values. The social cost (pollution costs and value-added tax considered) of PV is calculated, and the question of whether and how the 'cost cap' can be bridged is posed, the latter being the difference between what this cumulative production will cost and what it would cost if it could be produced at a currently competitive level. We also estimate how much PV could gain if the external costs (attributable to environmental and health damage) of energy were internalised, such as through an energy tax. We use the simulated results to provide suggestions for relevant PV industrial policymaking.
引用
收藏
页码:3 / 12
页数:10
相关论文
共 50 条
  • [41] Industrialization of Research Achievements of China's Chemical Industry
    Zong Ri
    China's Foreign Trade, 1994, (11) : 78+83 - 78+83
  • [42] Research into Value Chain of China's Music Industry
    Yu, Lin
    Deng, Hong
    PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON MANAGEMENT, EDUCATION, INFORMATION AND CONTROL, 2015, 125 : 1780 - 1786
  • [43] Research on the Contribution Degree of China's Auto Industry
    Wang Zai-tang
    Wang Na
    ENERGY DEVELOPMENT, PTS 1-4, 2014, 860-863 : 3045 - +
  • [44] The Research and Analysis on China's Logistics Industry Organizations
    Shi, Xiaoyuan
    CHINA'S LOGISTICS AND SUPPLY CHAIN RESEARCH IN PERIOD OF ECONOMY TRANSFORMATION, 2012, : 17 - 21
  • [45] Empirical research on China's coal industry efficiency
    Liu Yue
    Zhang Yiman
    Nie Rui
    PROCEEDINGS OF THE 4TH INTERNATIONAL CONFERENCE ON INNOVATION & MANAGEMENT, VOLS I AND II, 2007, : 48 - 53
  • [46] Research on the International Competitiveness of China's Culture Industry
    Di, He
    Zhe, Zhu
    PROCEEDINGS OF THE 4TH INTERNATIONAL CONFERENCE ON PRODUCT INNOVATION MANAGEMENT, VOLS I AND II, 2009, : 478 - 484
  • [47] A Review of the Research on the Competitiveness of China's Beverage Industry
    Xing, Yusong
    Guo, Yue
    PROCEEDINGS OF THE 2017 7TH INTERNATIONAL CONFERENCE ON EDUCATION, MANAGEMENT, COMPUTER AND SOCIETY (EMCS 2017), 2017, 61 : 1028 - 1033
  • [48] The Research on the Development and Management of the China's Energy Industry
    Zhu, Yuhao
    2015 4TH INTERNATIONAL CONFERENCE ON ENERGY AND ENVIRONMENTAL PROTECTION (ICEEP 2015), 2015, : 1277 - 1280
  • [49] Research on the standardization strategy of China's nuclear industry
    Gangyang, Zheng
    Xianke, Peng
    Xiaozhen, Li
    Yexi, Kang
    Xiangeng, Zhao
    ENERGY POLICY, 2021, 155