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Journal Article 9

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LMDI (logarithmic mean divisa index) 1

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Logarithmic Mean Divisia Index method (LMDI) 1

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aluminum 1

carbon dioxide (CO2) emissions 1

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End-of-pipe or process-integrated: evidence from LMDI decomposition of China’s SO

Pingdan ZHANG

Frontiers of Environmental Science & Engineering 2013, Volume 7, Issue 6,   Pages 867-874 doi: 10.1007/s11783-013-0541-0

Abstract: prevention, process control and end-of-pipe treatment, using the Logarithmic Mean Divisia Index method (LMDI

Keywords： end-of-pipe     process-integrated     Logarithmic Mean Divisia Index method (LMDI)     environmental regulation    

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emission drivers under regional industrial transfer in China’s Yangtze River Economic Belt: a multi-layer LMDI

Huijuan JIANG, Yong GENG, Xu TIAN, Xi ZHANG, Wei CHEN, Ziyan GAO

Frontiers in Energy 2021, Volume 15, Issue 2,   Pages 292-307 doi: 10.1007/s11708-020-0706-z

Abstract: emission changes using the temporal and cross-regional three-layer logarithmic mean Divisia index (LMDIBesides, it decomposes industrial CO emission changes using the temporal two-layer LMDI method.

Keywords： CO2 emission     multi-layer LMDI decomposition     industrial transfer     governance    

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Decomposition and decoupling analysis of electricity consumption carbon emissions in China

Frontiers of Engineering Management   Pages 486-498 doi: 10.1007/s42524-022-0215-3

Abstract: Electricity consumption is one of the major contributors to greenhouse gas emissions. In this study, we build a power consumption carbon emission measurement model based on the operating margin factor. We use the decomposition and decoupling technology of logarithmic mean Divisia index method to quantify six effects (emission intensity, power generation structure, consumption electricity intensity, economic scale, population structure, and population scale) and comprehensively reflect the degree of dependence of electricity consumption carbon emissions on China’s economic development and population changes. Moreover, we utilize the decoupling model to analyze the decoupling state between carbon emissions and economic growth and identify corresponding energy efficiency policies. The results of this study provide a new perspective to understand carbon emission reduction potentials in the electricity use of China.

Keywords： electricity consumption carbon emission measurement     LMDI model     decoupling model     data driven    

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Spatiotemporal evolution and driving factors for GHG emissions of aluminum industry in China

Frontiers in Energy 2023, Volume 17, Issue 2,   Pages 294-305 doi: 10.1007/s11708-022-0819-7

Abstract: China’s aluminum (Al) production has released a huge amount of greenhouse gas (GHG) emissions. As one of the biggest country of primary Al production, China must mitigate its overall GHG emission from its Al industry so that the national carbon neutrality target can be achieved. Under such a background, the study described in this paper conducts a dynamic material flow analysis to reveal the spatiotemporal evolution features of Al flows in China from 2000 to 2020. Decomposition analysis is also performed to uncover the driving factors of GHG emission generated from the Al industry. The major findings include the fact that China’s primary Al production center has transferred to the western region; the primary Al smelting and carbon anode consumption are the most carbon-intensive processes in the Al life cycle; the accumulative GHG emission from electricity accounts for 78.14% of the total GHG emission generated from the Al industry; China’s current Al recycling ratio is low although the corresponding GHG emission can be reduced by 93.73% if all the primary Al can be replaced by secondary Al; and the total GHG emission can be reduced by 88.58% if major primary Al manufacturing firms are transferred from Inner Mongolia to Yunnan. Based upon these findings and considering regional disparity, several policy implications are proposed, including promotion of secondary Al production, support of clean electricity penetration, and relocation of the Al industry.

Keywords： aluminum     material flow analysis     GHG (greenhouse gas) emissions     LMDI (logarithmic mean divisa index    

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Projections of heat-related excess mortality in China due to climate change, population and aging

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 11, doi: 10.1007/s11783-023-1732-y

Abstract:

● Four scenarios were used to project heat-related excess mortality in China.

Keywords： Heat-related excess mortality     LMDI     Aging     YLL     VSLY    

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Decomposition analysis of energy-related carbon dioxide emissions in the iron and steel industry in China

Wenqiang SUN, Jiuju CAI, Hai YU, Lei DAI

Frontiers of Environmental Science & Engineering 2012, Volume 6, Issue 2,   Pages 265-270 doi: 10.1007/s11783-011-0284-8

Abstract: The logarithmic mean divisia index (LMDI) technique was applied with period-wise analysis and time-series

Keywords： carbon dioxide (CO2) emissions     decomposition analysis     logarithmic mean divisia index (LMDI    

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Decomposing drivers of transportation energy consumption and carbon dioxide emissions for the Philippines: the case of developing countries

Neil Stephen LOPEZ, Anthony S.F. CHIU, Jose Bienvenido Manuel BIONA

Frontiers in Energy 2018, Volume 12, Issue 3,   Pages 389-399 doi: 10.1007/s11708-018-0578-7

Abstract:

Global CO2 emissions increased by 57.9% from 1990 to 2014, of which 21% is known to be from the transportation sector. In line with policy development, driving forces to energy consumption and emissions may be determined using decomposition analysis techniques. However, the detail of information required to perform such studies for the transportation sector in developing countries can be challenging. An attempt was made in this study to formulate a decomposition analysis framework considering data availability and limitation in developing countries. Furthermore, a suggestion of adjusting transport activity data using average oil price was proposed. An illustrative case study in the Philippines revealed that the most significant driver was transport activity, followed by energy intensity, and then population growth, which was both similar and contrary to all previous studies performed in developed and rapidly urbanizing countries, which pointed out to transport activity as the primary contributing force. For the Philippines, transport activity was an inhibiting force, whereas energy intensity was the primary contributing factor. The difference could be explained by the differences in mode shares and quality of life between countries. Looking at private vehicle ownership data, it is observed that growth rates are higher in the rural, than in the urban centers. Deriving from the findings, developing a comprehensive public transport plan is recommend for future growth areas, expansion and modernization of public transport services in the city, and strategic deployment of transport policies.

Keywords： transportation     LMDI     decomposition     developing country     emissions    

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Energy Development Status and Developing Focus of Varied Regions in China

Gao Dan,Kong Geng,Ma Linwei,Yan Xiaohui,Zhang Heng

Strategic Study of CAE 2021, Volume 23, Issue 1,   Pages 7-14 doi: 10.15302/J-SSCAE-2021.01.002

Abstract:

China has a vast territory, so the energy resource endowments of different regions in the country are significantly varied. Promoting regional energy revolution based on local conditions is an effective way to break the bottlenecks that restrict China’s energy development. This study analyzes the current situation of energy development from the aspects of energy production, consumption, and distribution, and investigates the differences regarding energy consumption intensity and the driving force for energy consumption growth in the core regions (i.e., the Beijing–Tianjin–Hebei region, Yangtze River Delta, Pearl River Delta, old industrial bases, the Central China, energy-rich areas, and Southwest China). The medium- and long-term energy development trends and strategic focuses of these regions by 2035 are analyzed. Specifically, the Beijing–Tianjin–Hebei region should focus on the coordinated development of energy, economy, and environment; an energy system with regional linkage should be formed and optimized in the Yangtze River Delta; the Pearl River Delta can strive to build itself as a clean energy production, storage, and transportation base; economic transformation should be promoted in the old industrial bases through value increment and diversification of energy resources; Central China should establish itself as an integrated energy hub; the energy-rich areas should build itself as a green and sustainable energy security base; and clean energy consumption should be encouraged in Southwest China. To coordinate energy development in various regions, China should fully consider the significant differences in local conditions, promote social development and ecologicalprotection with the regional energy revolution, and encourage regional cooperation in energy.

Keywords： regional energy development     energy intensity     energy transition     logarithmic mean divisia index (LMDI    

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Trends and driving forces of low-carbon energy technology innovation in China’s industrial sectors from 1998 to 2017: from a regional perspective

Xi ZHANG, Yong GENG, Yen Wah TONG, Harn Wei KUA, Huijuan DONG, Hengyu PAN

Frontiers in Energy 2021, Volume 15, Issue 2,   Pages 473-486 doi: 10.1007/s11708-021-0738-z

Abstract: municipalities in China from 1998 to 2017, this paper constructs a two-layer logarithmic mean Divisia index (LMDI

Keywords： low-carbon energy technology (LC)     logarithmic mean Divisia index (LMDI)     industrial sector     regional disparity    

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Title Author Date Type Operation

End-of-pipe or process-integrated: evidence from LMDI decomposition of China’s SO

Pingdan ZHANG

Journal Article

emission drivers under regional industrial transfer in China’s Yangtze River Economic Belt: a multi-layer LMDI

Huijuan JIANG, Yong GENG, Xu TIAN, Xi ZHANG, Wei CHEN, Ziyan GAO

Journal Article

Decomposition and decoupling analysis of electricity consumption carbon emissions in China

Journal Article

Spatiotemporal evolution and driving factors for GHG emissions of aluminum industry in China

Journal Article

Projections of heat-related excess mortality in China due to climate change, population and aging

Journal Article

Decomposition analysis of energy-related carbon dioxide emissions in the iron and steel industry in China

Wenqiang SUN, Jiuju CAI, Hai YU, Lei DAI

Journal Article

Decomposing drivers of transportation energy consumption and carbon dioxide emissions for the Philippines: the case of developing countries

Neil Stephen LOPEZ, Anthony S.F. CHIU, Jose Bienvenido Manuel BIONA

Journal Article

Energy Development Status and Developing Focus of Varied Regions in China

Gao Dan,Kong Geng,Ma Linwei,Yan Xiaohui,Zhang Heng

Journal Article

Trends and driving forces of low-carbon energy technology innovation in China’s industrial sectors from 1998 to 2017: from a regional perspective

Xi ZHANG, Yong GENG, Yen Wah TONG, Harn Wei KUA, Huijuan DONG, Hengyu PAN

Journal Article