가정용 전력수요의 가격탄력성 추정과 계절성효과 간 관계에 대한 실증연구

• 영문명: Empirical Study of Relationship Between Price Elasticity of Electric Demand and Seasonal Effects
• 발행기관: 한국무역연구원
• 저자명: 동진우(Jin-Woo Dong) 김영덕(Young-Duk Kim) 정재현(Jae-Hyun Jung)
• 간행물 정보: 『무역연구』제16권 제5호, 835~848쪽, 전체 14쪽
• 주제분류: 경제경영 > 무역학
• 파일형태: PDF
• 발행일자: 2020.10.30

영문 초록

Purpose - This study investigates the estimation results of price elasticity in previous studies and examines the relationship between temperature effects, or seasonal effect, for the demand function of electricity and price elasticity of electricity demand. Design/Methodology/Approach - We use the monthly data of electricity demand and price from Jan, 1981to Dec, 2018 in KESIS and KEPCO. Estimates of demand functions for electricity using Stata 14 might be biased because of identification problems. It is necessary to analyze whether control of temperature or seasonal effects utilized in many studies significantly deal with the identification of demand functions for electricity. Findings - Past literature showed that controlled temperature or seasonal effects have tended to be more sensitive to price elasticity of electricity than those that did not. Moreover, except for industrial power, estimates of long-term price elasticity on electricity demand is more sensitive when temperature or seasonality is controlled. Research Implications - The results imply that price elasticity estimates are likely to be downward biased in demand function model on electricity with only price and income as variables and these also highlight that control of temperature and seasonality is one of the ways to identify demand.

목차

Ⅰ. 서론

Ⅱ. 선행연구

Ⅲ. 방법론

Ⅳ. 추정결과

Ⅴ. 결론

References

키워드

Demand Identification Problem Electric Demand Price Elasticity