Exploring policy support for efficiency improvement of wind power from an environmental perspective: Evidence from wind farms in Qinghai, China

IF 9.8 1区社会学 Q1 ENVIRONMENTAL STUDIES

Environmental Impact Assessment Review Pub Date : 2025-03-13 DOI:10.1016/j.eiar.2025.107898

Li-Qiu Liu , Yu-Yan Qin , Xian-Peng Chen , Xiang-Cheng Zhang , Zhen-Yu She , Bai-Chen Xie

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引用次数: 0

Abstract

Intermittent renewable energy is characterized by a high degree of randomness and unpredictability with environmental fluctuations. As support policy in China shifted from the feed-in tariff subsidy (FIT) to the renewable portfolio standard (RPS) and the renewable energy credit (REC), environmental heterogeneity has led to complexity and uncertainty in policy implementation. Employing a stochastic data envelopment analysis (DEA) based on a non-radial directional distance function, this paper evaluates the generation efficiency of 47 wind farms in Qinghai Province from 2019 to 2021, to explore the effectiveness of policy support from an environmental perspective. Subsequently, we calculate the dynamic power generation efficiency by the Malmquist productivity index (MPI) method, which is further decomposed into efficiency change (EC) and technological progress (TP). System generalized moment estimation (SGMM) is then used to analyze the influencing factors of wind farm generation efficiency. The results show that during the study period, the generation efficiency initially experienced a decrease followed by an increase, with an overall upward trend. The generation efficiency reaches a trough during the peak electricity consumption period in summer and winter every year. Dynamic generation efficiency is generally on the rise, and its variations mainly come from TP, with a minimal catch-up effect observed. There is a significant negative correlation between FIT policy and generation efficiency, and the influence of REC is limited. In addition, per capita GDP, wind speed variations, temperature variations, and UHV delivery projects all affect wind farm power generation performance.

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从环境角度探索提高风力发电效率的政策支持：来自中国青海风电场的证据

间歇性可再生能源的特点是随环境波动具有高度的随机性和不可预测性。随着中国支持政策从上网电价补贴（FIT）转向可再生能源投资组合标准（RPS）和可再生能源信贷（REC），环境异质性导致了政策实施的复杂性和不确定性。本文采用基于非径向定向距离函数的随机数据包络分析（DEA），对青海省47个风电场2019 - 2021年的发电效率进行了评估，从环境角度探讨政策支持的有效性。随后，我们采用Malmquist生产率指数（MPI）方法计算动态发电效率，并将其进一步分解为效率变化（EC）和技术进步（TP）。然后利用系统广义矩估计（SGMM）分析风电场发电效率的影响因素。结果表明：研究期间，发电效率先下降后上升，总体呈上升趋势；发电效率在每年夏季和冬季用电高峰时段达到低谷。动态发电效率总体呈上升趋势，其变化主要来自TP，追赶效应较小。上网电价补贴政策与发电效率呈显著负相关，REC的影响有限。此外，人均GDP、风速变化、温度变化和特高压输送项目都会影响风电场发电性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Environmental Impact Assessment Review ENVIRONMENTAL STUDIES-

CiteScore

12.60

自引率

10.10%

发文量

200

审稿时长

33 days

期刊介绍： Environmental Impact Assessment Review is an interdisciplinary journal that serves a global audience of practitioners, policymakers, and academics involved in assessing the environmental impact of policies, projects, processes, and products. The journal focuses on innovative theory and practice in environmental impact assessment (EIA). Papers are expected to present innovative ideas, be topical, and coherent. The journal emphasizes concepts, methods, techniques, approaches, and systems related to EIA theory and practice.