A disaggregated-level analysis of the relationship among energy production, energy consumption and economic growth: Evidence from China
By Zia Ur Rahman, Shoukat Iqbal Khattak, Manzoor Ahmad, Anwar Khan. 2020
110 citations recorded by the source corpus.
Abstract The purpose of this study is to explore the relationship between energy production, energy consumption, and gross domestic product (GDP) growth in China for the period 1981–2016 (at the disaggregate level). The results of the Hatemi-J cointegration and structural-break tests supported long-term co-integration in the consumption and production of coal, oil, and natural gas. Based on the three models (coal, oil, and natural gas) of energy production and consumption, the fully-modified least square (FMOLS) method results confirmed the presence of long-term positive impact of the consumption and production of coal, oil, and natural gas on GDP growth. The CCR model estimations for robustness were found to be consistent with the FMLOS estimations. The vector error correction mechanism (VECM) based Granger-causality tests identified a one-way causality run from coal production and coal consumption to GDP growth; from GDP growth to gas consumption (supporting conservation hypothesis); from natural gas production to natural gas consumption; and from oil production and oil consumption to GDP growth. The paper draws important policy implications for theory, research and practice.
Subfields: Economics and Econometrics, Environmental Engineering, Renewable Energy, Sustainability and the Environment
View Paper: https://www.semanticscholar.org/paper/0d15a883e3e87d3e1b06a148f7131542ddcf18da
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Citations in the corpus
- Impacts of COVID-19 on Trade and Economic Aspects of Food Security: Evidence from 45 Developing Countries (2020, methodology): “[115], further checked FMOLS and DOLS results by employing the canonical cointegration regression (CCR).”