Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/96846
Authors: 
Tang, Tian
Popp, David
Year of Publication: 
2014
Series/Report no.: 
CESifo Working Paper 4705
Abstract: 
The Clean Development Mechanism (CDM) is a project-based carbon trade mechanism that subsidizes the users of climate-friendly technologies and encourages technology transfer. The CDM has provided financial support for a large share of Chinese wind projects since 2002. Using pooled cross-sectional data of 486 registered CDM wind projects in China from 2002 to 2009, we examine the determinants of technological change in wind power from a learning perspective. We estimate the effects of different channels of learning—learning through R&D in wind turbine manufacturing, learning from previous experience of installation, and learning through the network interaction between project developer and turbine manufacturer—on technological change, measured as reductions in projected costs or as increased capacity factor across CDM wind projects. While we find that a manufacturer’s R&D and previous installation experience matter, interactions between wind turbine manufacturers and wind project developer lead to the largest cost reductions. Whereas existing literature suggests that wind power firms can learn from the experience of other wind farm developers, our results indicate that wind power firms mainly learn from their own experience and that knowledge spillovers mostly occur within certain partnerships between wind project developer and foreign turbine manufacturers in China’s wind power industry.
Subjects: 
climate change
Clean Development Mechanism
technological change
technology transfer
collaboration
learning curves
patents
JEL: 
O33
O38
Q42
Q48
Q54
Q55
Document Type: 
Working Paper

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