학술논문
Causality Relationship between Energy Intensity, Total Factor Productivity and Energy Price in Nigeria / 나이지리아의 에너지 집약도, 총 요소 생산성 및 에너지 가격 간의 인과 관계
Document Type
Dissertation/ Thesis
Author
Source
Subject
Language
English
Abstract
지속 가능한 경제 성장과 환경에서의 배출량 감소에 있어 에너지 집약도를 낮추는 것은필수적이다. 본 연구는 나이지리아의 3 가지 변수(에너지 집약도, 총 요소 생산성, 에너지가격)의 인과관계에 주목하여 에너지 집약도의 변화에 영향을 미치는 기술 수준과 에너지가격 요인을 탐색한다. VECM 프레임워크는 이러한 변수 간의 인과 관계를 포착하는 데사용된다. 분석 결과 에너지 가격과 기술 수준이 장기 에너지 집약도에 미치는 영향, 기술수준이 단기 에너지 집약도에 미치는 영향이 나타났다. 자기회귀분포지연(ARDL) 결과,기술의 향상은 장기와 단기의 에너지 집약도를 현저하게 감소시키는 것으로 나타났다. 또에너지 가격이 오르면 장기적으로 에너지 집약도가 크게 낮아지지만 단기적으로는 크게낮아지지 않는 것으로 나타났다. 이 연구는 에너지 효율을 높이기 위한 정책이 필요하다는것을 보여준다.
Decreasing energy intensity is very crucial both for sustainable Economic Growth and reducing emissions in the environment. In this study, technology level and energy price are the variables that affect energy intensity as we analyse the causal relationship among the three variables (energy intensity, total factor productivity and energy price) in Nigeria. The VECM framework was used to capture the causality among these variables. From the analysis, energy price and technology level causes energy intensity in the long run while technology level causes energy intensity in the short run. The ARDL (Auto-Regressive Distributed Lag) result showed that an increase in technology decreases energy intensity significantly both in the long run and the short run. It also showed that an increase in energy price decreases energy intensity significantly in the long run but not significantly in the short run. This study suggests that policies targeting boasting energy efficiency should be adopted.
Decreasing energy intensity is very crucial both for sustainable Economic Growth and reducing emissions in the environment. In this study, technology level and energy price are the variables that affect energy intensity as we analyse the causal relationship among the three variables (energy intensity, total factor productivity and energy price) in Nigeria. The VECM framework was used to capture the causality among these variables. From the analysis, energy price and technology level causes energy intensity in the long run while technology level causes energy intensity in the short run. The ARDL (Auto-Regressive Distributed Lag) result showed that an increase in technology decreases energy intensity significantly both in the long run and the short run. It also showed that an increase in energy price decreases energy intensity significantly in the long run but not significantly in the short run. This study suggests that policies targeting boasting energy efficiency should be adopted.