ArticleEnvironmental science and pollution research international2019
Explore the influence mechanism of carbon emissions decline on energy intensity with two-layer factor decomposition method in Beijing-Tianjin-Hebei region.
Article in Environmental science and pollution research international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed.
- Discerning drivers and future reduction paths of energy-related COEnvironmental science and pollution research international · 2021Article
- Nexus between urbanization, emission, openness, and energy intensity: panel study across income groups.Environmental science and pollution research international · 2020Article
- Analysis of the spillover effect of energy intensity among provinces in China based on space-time lag model.Environmental science and pollution research international · 2020Article
- Regional carbon emission evolution mechanism and its prediction approach: a case study of Hebei, China.Environmental science and pollution research international · 2019Article
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Abstract
Understanding the intrinsic mechanism behind changes on energy intensity provides insights about reducing carbon emissions and promoting the sustainable development of Beijing-Tianjin-Hebei (BTH) region. Although various studies have found a causal relationship between energy intensity and energy-related carbon emissions, the internal mechanisms are still unclear. This paper presents a comprehensive analysis of the impact of energy intensity on carbon emissions from 2005 to 2015. With an association established between logarithmic mean Divisia index (LMDI) and generalized Fisher index (GFI), two-layer factor decomposition model is proposed to explore the factor analysis in-depth. (1) LMDI method proves that energy intensity is the main contributor that reduces carbon emissions in BTH. (2) GFI model further decomposes energy intensity into five effects, namely energy substitution, technology progress, labor productivity, capital substitution, and labor-capital resources allocation. (3) The results reveal that the effect of capital-energy substitution in declining energy intensity surpasses technology progress. (4) Energy-labor substitution has increased energy intensity, while energy-energy substitution is negligible. For the coordinate development of BTH, the government should aim at energy intensity and attach importance to encouraging entrepreneurship, accelerating the construction of carbon trading market, allocating resources rationally, and guiding the capital flow into energy-efficient direction.
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