光伏组件价格影响因素

基于计量的案例分析

Translated title of the contribution: Photovoltaic module price dynamics: Empirical evidences from case studies

Molin Huo, Xiliang Zhang*, Jiankun He

*Corresponding author for this work

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Technological innovation, production scale, production experience and market demand all affect photovoltaic (PV) cost and module price. Market variables and time lag relationships are introduced into the renewable energy technology learning curve models, with stepwise regression used to identify critical factors in Japan, USA and China. The empirical results for Japan, USA and China show that the affecting PV cost reductions in descending order are technological innovation, production scaling and production experience, so China should encourage technological innovation and facilitate for technological innovation, technology transfer and large-scale production for cost reductions. Since the module price is also sensitive to market demand, sharp increases in demand with supply shortages should be avoided.

Original languageChinese
Pages (from-to)796-801
Number of pages6
JournalQinghua Daxue Xuebao/Journal of Tsinghua University
Volume51
Issue number6
Publication statusPublished - Jun 2011
Externally publishedYes

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Keywords

  • Learning by doing
  • Photovoltaic (PV)
  • Scale economies
  • Technological innovation

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