中等收入国家全经济电力需求的收入和价格弹性是否随时间变化?来自小组和个别国家的证据

IF 3 4区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES
Brantley Liddle, Fakhri Hasanov
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引用次数: 0

摘要

了解电力需求的收入/GDP和价格弹性对于预测需求和评估能源/气候政策的潜在影响非常重要。然而,针对经合组织以外国家的这一主题的研究却很少。我们采用了一个新的跨国家实体经济电价数据库,并应用了一套基于面板和基于时间序列的方法,这些方法共同解释了一组中等收入/快速增长国家的时间异质性和横截面异质性。我们的小组结果和应用结构时间序列模型的八个单独国家分析都确定,随着时间的推移,整个经济的电力需求的收入和价格弹性都是稳定的/有效不变的。此外,我们的研究结果表明,这些中等收入国家的全经济电力需求的收入弹性平均为0.8。价格弹性——随着时间的推移表现出更多的变动(至少以百分比计算)——平均为-0.09。收入和价格弹性基本不变的结果与最近关注中等收入国家全经济能源需求的研究结果类似。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Are the income and price elasticities of economy-wide electricity demand in middle-income countries time-varying? Evidence from panels and individual countries

Are the income and price elasticities of economy-wide electricity demand in middle-income countries time-varying? Evidence from panels and individual countries
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来源期刊
Environmental and Ecological Statistics
Environmental and Ecological Statistics 环境科学-环境科学
CiteScore
5.90
自引率
2.60%
发文量
27
审稿时长
>36 weeks
期刊介绍: Environmental and Ecological Statistics publishes papers on practical applications of statistics and related quantitative methods to environmental science addressing contemporary issues. Emphasis is on applied mathematical statistics, statistical methodology, and data interpretation and improvement for future use, with a view to advance statistics for environment, ecology and environmental health, and to advance environmental theory and practice using valid statistics. Besides clarity of exposition, a single most important criterion for publication is the appropriateness of the statistical method to the particular environmental problem. The Journal covers all aspects of the collection, analysis, presentation and interpretation of environmental data for research, policy and regulation. The Journal is cross-disciplinary within the context of contemporary environmental issues and the associated statistical tools, concepts and methods. The Journal broadly covers theory and methods, case studies and applications, environmental change and statistical ecology, environmental health statistics and stochastics, and related areas. Special features include invited discussion papers; research communications; technical notes and consultation corner; mini-reviews; letters to the Editor; news, views and announcements; hardware and software reviews; data management etc.
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