EconPapers    
Economics at your fingertips  
 

Market segmentation and wind curtailment: An empirical analysis

Feng Song, De Bi and Chu Wei

Energy Policy, 2019, vol. 132, issue C, 831-838

Abstract: China's wind power has experienced explosive growth and reshaped the overall energy mix since 2009. However, increasing investment in the wind power industry has been accompanied by persistent and serious wind curtailment since 2010, leading to significant efficiency loss. This paper argues that the interprovincial market segmentation, which is driven by political motivations, is a key factor contributing to wind curtailment. We first construct an interprovincial electricity market segmentation index. This is then used as an independent variable to explain the variation in wind curtailment rates. A panel dataset of 28 provinces during the 2009–2016 period is used for empirical analysis. The results clearly show that market barriers positively contribute to wind power curtailment. Specifically, a 10% decrease in the market segmentation index will lead to a 4.3–5.3% decrease in wind power curtailment.

Keywords: Wind curtailment; Market segmentation; Electricity market; China (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0301421519304276
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:enepol:v:132:y:2019:i:c:p:831-838

DOI: 10.1016/j.enpol.2019.06.057

Access Statistics for this article

Energy Policy is currently edited by N. France

More articles in Energy Policy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:enepol:v:132:y:2019:i:c:p:831-838