Changes in carbon intensity in China's industrial sector: Decomposition and attribution analysis

Liu, Nan; Ma, Zhenjun; Kang, Joonho

doi:10.1016/j.enpol.2015.08.035

Cited by 151 publications

(53 citation statements)

References 31 publications

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“…In fact, the structure effect has a stronger impact than the intensity effect on industrial energy consumption from 2005-2011. This finding is different from previous observations at the national level, which found that the structure effect either has a positive [25] or ambiguous [26,27] impact on industrial energy consumption. Therefore, a shift in industrial composition has begun to make a contribution on energy conservation at the regional, but not the national, level.…”

Section: Conclusion and Discussioncontrasting

confidence: 99%

“…Our results indicate that the northeast region has almost doubled its industrial energy consumption due to the rapid expansion of industrial activity, and that the cumulative intensity effect is stronger than the structure effect in conserving energy. This finding is similar to studies conducted at the national level [25][26][27]. This similarity suggests that the improvement in energy efficiency has been the main driving force of energy conservation at both the national and regional levels.…”

Section: Conclusion and Discussionsupporting

confidence: 86%

“…However, as China is still undergoing rapid industrialisation, studies have found that the structure effect only played an ambiguous or negligible role at the national scale [22][23][24][25][26][27]. As a result, changes in China's industrial energy consumption are mostly determined by the trade-off between the positive scale effect and the negative intensity effect [24][25][26][27]. Table 1.…”

Section: Literature Reviewmentioning

confidence: 99%

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Industrial Energy Consumption in Northeast China under the Revitalisation Strategy: A Decomposition and Policy Analysis

Wang

et al. 2016

Energies

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While previous studies have examined China's changing industrial energy consumption at the national level, this study argues that it is more useful, from a policy standpoint, to conduct a regional-level analysis owing to the significant regional disparity in industrialisation in the country. This study focuses particularly on Northeast China, where the implementation of the Northeast Revitalisation Strategy in 2003 has contributed to rapid reindustrialisation, which has a serious implication for industrial energy consumption. We decompose the region's energy consumption changes into activity, structure, and intensity effects. Our results show that the intensity effect is not the only negative factor impacting industrial energy consumption during 2003-2012. The structure effect also has a negative impact on industrial energy consumption between 2005 and 2012. However, the negative impact of the two factors is weakening and not strong enough to counter the positive impact of the activity effect. This result highlights the problem of uncoordinated policy-making in Northeast China. The development strategy, which still depends highly on traditional heavy industries, is in conflict with the national strategy of energy conservation. The two conflicting objectives of industrial revitalization and energy conservation must be reconciled for sustainability in the long term. The study concludes with policy recommendations on how to achieve such reconciliation.

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Section: Conclusion and Discussioncontrasting

confidence: 99%

Section: Conclusion and Discussionsupporting

confidence: 86%

Section: Literature Reviewmentioning

confidence: 99%

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Industrial Energy Consumption in Northeast China under the Revitalisation Strategy: A Decomposition and Policy Analysis

Wang

et al. 2016

Energies

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“…CO 2 reductions from low carbon technologies in the other industrial sectors in China come mainly from Iron and Steel, Non-metallic Minerals and Chemicals, and less from the Petroleum and Paper and Pulp sector. This finding is also consistent with a decomposition analysis of Chinese industrial emissions over the period 1997-2012 [55]. In India, sectoral contributions to CO 2 reductions are qualitatively similar to China.…”

Section: Effects On Co 2 Emission Balancesupporting

confidence: 87%

The Deployment of Low Carbon Technologies in Energy Intensive Industries: A Macroeconomic Analysis for Europe, China and India

et al. 2017

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Industrial processes currently contribute 40% to global CO 2 emissions and therefore substantial increases in industrial energy efficiency are required for reaching the 2 • C target. We assess the macroeconomic effects of deploying low carbon technologies in six energy intensive industrial sectors (Petroleum, Iron and Steel, Non-metallic Minerals, Paper and Pulp, Chemicals, and Electricity) in Europe, China and India in 2030. By combining the GAINS technology model with a macroeconomic computable general equilibrium model, we find that output in energy intensive industries declines in Europe by 6% in total, while output increases in China by 11% and in India by 13%. The opposite output effects emerge because low carbon technologies lead to cost savings in China and India but not in Europe. Consequently, the competitiveness of energy intensive industries is improved in China and India relative to Europe, leading to higher exports to Europe. In all regions, the decarbonization of electricity plays the dominant role for mitigation. We find a rebound effect in China and India, in the size of 42% and 34% CO 2 reduction, respectively, but not in Europe. Our results indicate that the range of considered low-carbon technology options is not competitive in the European industrial sectors. To foster breakthrough low carbon technologies and maintain industrial competitiveness, targeted technology policy is therefore needed to supplement carbon pricing.

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“…It observed that the growth rate of each sub-sector' energy consumption was larger than its corresponding industrial output. Therefore, it illustrated that a sudden increase occurred in production capacities of these two energy-intensive industries, while the energy efficiency was not paid attention to be controlled [46,58]. The attribution results of energy intensity effect were shown in Figure 2 and Table 2.…”

Section: Attribution Analysismentioning

confidence: 99%

Decomposition and Attribution Analysis of Industrial Carbon Intensity Changes in Xinjiang, China

et al. 2017

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Xinjiang's industrial sector accounted for more than 80% of the total energy-related carbon emissions. A further understanding of each industrial sub-sector's carbon intensity is very necessary to make differentiated policies and measures. This paper applied index decomposition analysis and attribution analysis to examine the influencing factors and each sub-sector's contributions to the changes in influencing factors. The results demonstrated the following: (1) energy intensity effect contributed most to the decreases in industrial carbon intensity, and mining and quarrying, foods and tobacco, and other manufactures were the most representative industrial sub-sectors; (2) energy structure effect showed a positive effect on industrial carbon intensity, but its effect was not significant, and fuel processing, smelting and pressing of metals, metal products, and textile were mainly responsible for the increases in energy structure effect; (3) industrial structure effect showed significant fluctuations, but its accumulative effect promoted the increases in industrial carbon intensity, and fuel processing, mining and quarrying, and textiles were the main sub-sectors, which exerted negative effects on the decreases in industrial structure effect; (4) fuel processing, smelting and pressing of metals, and mining and quarrying significantly influenced these three decomposed factors from 2000 to 2014; (5) since 2009, energy-intensive sub-sectors increased rapidly, and the energy structure was not optimized, while attention was not paid to controlling the energy efficiency, thus all decomposed factors promoted the increases in industrial carbon intensity; and (6) mining and quarrying, textiles, fuel processing, and transport equipment were primarily responsible for the increases in energy structure effect. Fuel processing, chemicals, and smelting and pressing of metals were primarily responsible for the increases in energy intensity effect. Fuel processing, chemicals, smelting and pressing of metals, and other manufactures were primarily responsible for the increases in industrial structure effect.

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Changes in carbon intensity in China's industrial sector: Decomposition and attribution analysis

Cited by 151 publications

References 31 publications

Industrial Energy Consumption in Northeast China under the Revitalisation Strategy: A Decomposition and Policy Analysis

Industrial Energy Consumption in Northeast China under the Revitalisation Strategy: A Decomposition and Policy Analysis

The Deployment of Low Carbon Technologies in Energy Intensive Industries: A Macroeconomic Analysis for Europe, China and India

Decomposition and Attribution Analysis of Industrial Carbon Intensity Changes in Xinjiang, China

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