Price and income elasticities of industrial electricity demand in Brazil: estimates and implications of COVID-19

需求的收入弹性 经济 需求价格弹性 电力需求 第二经济部门 价值(数学) 消费(社会学) 计量经济学 农业经济学 微观经济学 经济 发电 工程类 电气工程 机器学习 物理 社会学 量子力学 功率(物理) 计算机科学 社会科学
作者
Luís Oscar Silva Martins,Inara Rosa de Amorim,Vinicius de Araújo Mendes,Marcelo Santana Silva,Francisco Gaudêncio Mendonça Freires,Ednildo Andrade Torres
出处
期刊:International Journal of Energy Sector Management [Emerald Publishing Limited]
卷期号:18 (4): 707-724 被引量:2
标识
DOI:10.1108/ijesm-03-2022-0007
摘要

Purpose This study aims to examine the price and income elasticities of short- and long-run industrial electricity demand in Brazil between 2003 and 2020. The research also examines the impacts of COVID-19 in Brazil’s industrial electricity sector, including an analysis in states more and less industrialized. Design/methodology/approach Dynamic adjustments models in panel data are used to present robust estimates and analyze the impact of different methodologies on reported elasticities. Findings The short-run price elasticity is estimated at −0.448, while the long-run values are around −1.60. Regarding income elasticity, the value is 0.069 in the short-run and is concentrated in 0.25 in the long-run. The inelastic results of income show that the industrial demand for electric energy follows the trend of loss of competitiveness of the Brazilian industry in the past years. In addition, the price of natural gas, the level of employment, and, in specific cases, the level of imports also influence industrial electricity demand. Originality/value The research is a pioneer in the investigation of the industrial behavior of electricity of the Brazilian industrial branch, using as control variables, the average temperature, and the level of rainfall, this one, so important for a country whose main source is hydroelectric. In addition, to the best of the authors’ knowledge, it is the first study, which is prepared to analyze the effects of COVID-19 on electric consumption in the industrial sector, investigating these impacts, including in the states considered more and less industrialized. The estimates generated may help in the design of the Brazilian energy policy.
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