 Analysis of China’s regional wind power generation efficiency and its influencing factorsXiongfeng Pan, Jing Zhang, Changyu Li, Xianyou Pan and Jinbo Song Energy & Environment, 2019, vol. 30, issue 2, 254-271 Abstract: Based on the data of 30 Chinese provinces from 2011 to 2014, we use a meta-frontier data envelopment analysis model and a symbolic regression method to study wind power generation efficiency and its influencing factors. From our analytical results, the main findings are as follows: (1) The wind power generation efficiency of the eastern region is the highest, followed by the western region, and the wind power generation efficiency of the central region is the lowest. (2) The technology gap ratio of eastern region is at a high level and is stable. In contrast, the technology gap ratios of the central and western regions are at a low level and have a larger fluctuation range. (3) The room for improving internal management is huge in the three regions of China mainland, but the advancement of technical level only in the Central and Western is significant. (4) Geographical location has the most impact on wind power generation efficiency, followed by technical progress and carbon regulation, while wind energy reserve has the least impact on wind power generation efficiency. Keywords: Wind power generation efficiency; China; data envelopment analysis; slack-based model; symbolic regression (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:sae:engenv:v:30:y:2019:i:2:p:254-271 Access Statistics for this article More articles in Energy & Environment |
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