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期刊论文 9

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2023 2

2021 3

2018 1

2013 1

2012 1

关键词

区域能源发展，能源强度，能源转型，LMDI 1

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

Pingdan ZHANG

《环境科学与工程前沿（英文）》 2013年 第7卷 第6期   页码 867-874 doi: 10.1007/s11783-013-0541-0

摘要： In this study, reduction in sulfur dioxide (SO ) emission is decomposed into three parts: source prevention, process control and end-of-pipe treatment, using the Logarithmic Mean Divisia Index method (LMDI). Source prevention and process control are defined as process-integrated treatment. It is found that from 2001 to 2010 the reduction of SO emission density in China was mainly contributed by end-of-pipe treatment. From the 10th Five Year Plan (FYP) period (2001–2005) to the 11th FYP period (2006–2010), the Chinese government has attempted to enhance process-integrated treatment. However, given its initial effort, the effect is limited compared with that of the end-of-pipe treatment. The effectiveness of environmental regulation and technology in the reduction of SO density in 30 provinces (municipality/autonomous regions) from 2001 to 2010 is also investigated. This implies that environmental regulation and technology promote process control and end-of-pipe treatment significantly, but does not influence source prevention. Furthermore, environmental technology will only take effect under the circumstances of stringent environmental regulation. Therefore, to fulfill the whole process treatment, environmental regulation should be strengthened and environmental technology upgraded at the same time.

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

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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

《能源前沿（英文）》 2021年 第15卷 第2期   页码 292-307 doi: 10.1007/s11708-020-0706-z

摘要： With the relocation of heavy industries moving from downstream region to upstream and midstream regions in the Yangtze River Economic Belt (YREB), it is critical to encourage coordinated low carbon development in different regions within the YREB. This paper uncovers the evolution of CO emissions in different regions within the YREB for the period of 2000–2017. It decomposes regional CO emission changes using the temporal and cross-regional three-layer logarithmic mean Divisia index (LMDI) method. Besides, it decomposes industrial CO emission changes using the temporal two-layer LMDI method. The research results show that economic growth is the major driver for regional CO emission disparities. The mitigation drivers, such as energy intensity and energy structure, lead to a more decreased CO emission in the downstream region than in the upstream and midstream regions. In addition, it proposes several policy recommendations based upon the local realities, including improving energy efficiency, optimizing energy structure, promoting advanced technologies and equipment transfers, and coordinating the development in the upstream, midstream and downstream regions within the YREB.

关键词： CO2 emission     multi-layer LMDI decomposition     industrial transfer     governance    

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Decomposition and decoupling analysis of electricity consumption carbon emissions in China

《工程管理前沿（英文）》   页码 486-498 doi: 10.1007/s42524-022-0215-3

摘要： 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.

关键词： 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

《能源前沿（英文）》 2023年 第17卷 第2期   页码 294-305 doi: 10.1007/s11708-022-0819-7

摘要： 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.

关键词： 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

《环境科学与工程前沿（英文）》 2023年 第17卷 第11期 doi: 10.1007/s11783-023-1732-y

摘要：

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

关键词： 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

《环境科学与工程前沿（英文）》 2012年 第6卷 第2期   页码 265-270 doi: 10.1007/s11783-011-0284-8

摘要： This work aims to identify the main factors influencing the energy-related carbon dioxide (CO ) emissions from the iron and steel industry in China during the period of 1995–2007. The logarithmic mean divisia index (LMDI) technique was applied with period-wise analysis and time-series analysis. Changes in energy-related CO emissions were decomposed into four factors: emission factor effect, energy structure effect, energy consumption effect, and the steel production effect. The results show that steel production is the major factor responsible for the rise in CO emissions during the sampling period; on the other hand the energy consumption is the largest contributor to the decrease in CO emissions. To a lesser extent, the emission factor and energy structure effects have both negative and positive contributions to CO emissions, respectively. Policy implications are provided regarding the reduction of CO emissions from the iron and steel industry in China, such as controlling the overgrowth of steel production, improving energy-saving technologies, and introducing low-carbon energy sources into the iron and steel industry.

关键词： carbon dioxide (CO2) emissions     decomposition analysis     logarithmic mean divisia index (LMDI) technique     time-series analysis    

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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

《能源前沿（英文）》 2018年 第12卷 第3期   页码 389-399 doi: 10.1007/s11708-018-0578-7

摘要：

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.

关键词： transportation     LMDI     decomposition     developing country     emissions    

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我国区域能源现状及中长期发展战略重点研究

高丹,孔庚,麻林巍,严晓辉,张衡

《中国工程科学》 2021年 第23卷 第1期   页码 7-14 doi: 10.15302/J-SSCAE-2021.01.002

摘要：

我国幅员辽阔，各区域能源资源禀赋特点差异显著，因地制宜推进区域能源革命是破解我国能源发展瓶颈的有效途径。本文针对京津冀、长江三角洲（长三角）、珠江三角洲（珠三角）、老工业基地、中部地区、能源富集地区、西南地区七大区域，从能源生产、消费、流向等方面分析了各区域的能源发展现状，梳理了各区域的能源消费强度差异和能耗增长驱动力情况，研判了各区域面向2035 年的中长期能源转型发展趋势及战略重点。研究表明，各区域能源革命的战略布局重点分别是：京津冀地区为推进能源与经济、环境的协同发展，长三角地区为集成优化区域联动的能源系统，珠三角地区为构建清洁能源产储运基地，老工业基地为以能源高值化、多元化推进经济转型，中部地区为打造综合能源枢纽，能源富集区为建成绿色可持续的能源安全保障基地，西南地区为清洁能源消纳。为统筹各区域能源发展，本文从因地制宜、精准推进能源革命，以区域能源革命推动区域社会发展和生态环境保护，以推动区域协调发展为抓手，实现区域能源协作与合作共赢等方面提出了对策建议。

关键词： 区域能源发展，能源强度，能源转型，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

《能源前沿（英文）》 2021年 第15卷 第2期   页码 473-486 doi: 10.1007/s11708-021-0738-z

摘要： Low-carbon energy technology (LC) innovation contributes to both environmental protection and economic development. Using the panel data of 30 provinces/autonomous regions/municipalities in China from 1998 to 2017, this paper constructs a two-layer logarithmic mean Divisia index (LMDI) model to uncover the factors influencing the variation of the innovation of LC in China’s industrial sectors, including the alternative energy production technology (AEPT) and the energy conversation technology (ECT). The results show that China’s industrial LC patent applications rapidly increased after 2005 and AEPT patent applications outweighed ECT patent applications all the time with a gradually narrowing gap. Low-carbon degree played the dominant role in promoting the increase in China’s industrial LC patent applications, followed by the economic scale, R&D (research and development) efficiency, and R&D share. Economic structure contributed to the increases in LC patent applications in the central and the western regions, while led to the decreases in the eastern region, the north-eastern region, and Chinese mainland . Low-carbon degree and economic scale were two main contributors to the growths of both industrial AEPT patent applications and ECT patent applications in Chinese mainland and the four regions. Several policy recommendations are made to further promote industrial innovation in China.

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

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标题 作者 时间 类型 操作

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

Pingdan ZHANG

期刊论文

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

期刊论文

Decomposition and decoupling analysis of electricity consumption carbon emissions in China

期刊论文

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

期刊论文

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

期刊论文

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

Wenqiang SUN, Jiuju CAI, Hai YU, Lei DAI

期刊论文

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

期刊论文

我国区域能源现状及中长期发展战略重点研究

高丹,孔庚,麻林巍,严晓辉,张衡

期刊论文

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

期刊论文