Elasticidade Preço E Renda Da Demanda Por Energia Elétrica Nas Regiões Brasileiras: Uma Abordagem Através De Painel Dinâmico

Dantas, Fabiano da Costa; Costa, Edward Martins; Silva, Jorge Luiz Mariano da

doi:10.5380/re.v42i3.36594

Cited by 6 publications

(6 citation statements)

References 3 publications

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“…The estimated industrial production was 0.069, less than similar previous studies (Dantas et al, 2016;Mattos and Lima, 2005). The proxy used for this variable was the industrial physical production index provided by IBGE.…”

Section: Resultsmentioning

confidence: 70%

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

Martins

Amorim

Mendes

et al. 2023

IJESM

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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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Section: Resultsmentioning

confidence: 70%

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

Martins

Amorim

Mendes

et al. 2023

IJESM

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“…There are studies that support the use of marginal price Reiss and White, 2005), and studies that support the use of average price (Irffi et al, 2009;Martins et al, 2021;Uhr et al, 2019). The problem is that marginal prices are not available in Brazil, so studies developed on industrial demand use average prices (Dantas et al, 2016;Gross et al, 2017;. However, older works (Parks and Weitzel, 1984), as well as contemporary studies (Cialani and Mortazavi, 2018;Huntington et al, 2019), argue that industrial consumers respond better to the average prices.…”

Section: Datamentioning

confidence: 99%

“…At regionalized levels, the research is even more sparse. Only Dantas et al, (2016), Dantas et al (2017), Irffi et al (2009), and studied industrial demand regionally.…”

Section: Introductionmentioning

confidence: 99%

Dynamics of Industrial Electricity Demand in the State of Bahia (Brazil): Evolution of Price and Income and COVID-19 Implications

Martins

Fernandes

Santos

et al. 2023

IJEEP

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The growth in demand for electricity is a determining factor for the regional development. This research aimed to estimate the price and income elasticity parameters of the industrial demand for electricity in the State of Bahia, Brazil, from January 2003 to June 2022, in addition to making forecasts for the period from July to December 2022. After verifying that some of the analyzed data were non-stationary, we chose to use the cointegration method, estimating the econometric model through the Error Correction Mechanism (ECM). The ECM considers the model’s variables and their lags, relating the series’ short and long-run trends. The estimated parameters were inelastic and presented the following values: 0.501 and 0.762 (price and income, long-run) and 0.482 and 0.702 (price and income, short-run). The adjustment coefficient between the short and long-run was also statistically significant and indicated that approximately 8% of the difference between the effective value and the long-run value (balance value) is corrected in each period, demonstrating the rigidity of the consumption structure of electricity in the industrial sector in Bahia. The model also demonstrated an 8.1% reduction in consumption during COVID-19 incidence period. Regarding the forecasts, they proved to be robust and with an average difference of 5.4% in relation to what actually happened in the months of July and August 2022. Thus, the calculated parameters are configured as another source of information for public policymakers and private investors interested in the electricity sector in the State of Bahia.

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“…The elasticity data adopted in this paper for residential and commercial consumers are based on [19,20]. The load curve is divided into three different periods according to its behavior, namely off-peak, mid-peak, and on-peak periods, and elasticity data is assigned to each period.…”

Section: Elasticity Datamentioning

confidence: 99%

Intelligent Dynamic Pricing Scheme for Demand Response in Brazil Considering the Integration of Renewable Energy Sources

Vilar

Affonso

2021

Energies

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This paper proposes a novel dynamic pricing scheme for demand response with individualized tariffs by consumption profile, aiming to benefit both customers and utility. The proposed method is based on the genetic algorithm, and a novel operator called mutagenic agent is proposed to improve algorithm performance. The demand response model is set by using price elasticity theory, and simulations are conducted based on elasticity, demand, and photovoltaic generation data from Brazil. Results are evaluated considering the integration effects of renewable energy sources and compared with other two pricing strategies currently adopted by Brazilian utilities: flat tariff and time-of-use tariff. Simulation results show the proposed dynamic tariff brings benefits to both utilities and consumers. It reduces the peak load and average cost of electricity and increases utility profit and load factor without the undesirable rebound effect.

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Elasticidade Preço E Renda Da Demanda Por Energia Elétrica Nas Regiões Brasileiras: Uma Abordagem Através De Painel Dinâmico

Cited by 6 publications

References 3 publications

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

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

Dynamics of Industrial Electricity Demand in the State of Bahia (Brazil): Evolution of Price and Income and COVID-19 Implications

Intelligent Dynamic Pricing Scheme for Demand Response in Brazil Considering the Integration of Renewable Energy Sources

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