Results 111 to 120 of about 2,034 (203)

LMDI Decomposition of Energy-Related CO2 Emissions Based on Energy and CO2 Allocation Sankey Diagrams: The Method and an Application to China

, 2018
This manuscript develops a logarithmic mean Divisia index I (LMDI) decomposition method based on energy and CO2 allocation Sankey diagrams to analyze the contributions of various influencing factors to the growth of energy-related CO2 emissions on a ...
Linwei Ma, Weidou Ni, Zheng Li, Xi Zhang, Weiqi Li, Chinhao Chong, Pei Liu   +6 more
core   +1 more source

Driver Analysis and Integrated Prediction of Carbon Emissions in China Using Machine Learning Models and Empirical Mode Decomposition

Mathematics
Accurately predicting the trajectory of carbon emissions is vital for achieving a sustainable shift toward a green and low-carbon future. Hence, this paper created a novel model to examine the driver analysis and integrated prediction for Chinese carbon ...
Ruixia Suo, Qi Wang, Qiutong Han
doaj   +1 more source

Analysis of the Forces Driving Public Hospitals’ Operating Costs Using LMDI Decomposition: The Case of Japan

The sustainable management of public hospitals is usually threatened by long-term operating deficit, which was exacerbated during the COVID-19 pandemic. This study aimed to quantitatively decompose the historical changes in the annual operating costs of ...
Kiyotoshi Kou, Ichiro Arai, Yi Dou
core   +1 more source

Analysis on the Characteristics of Seoul Electricity Consumption Using LMDI

Journal of Environmental Policy and Administration, 2020
Joon Han, Yeon-Mi Jung
openaire   +1 more source

The Dominant drivers of the Real Energy Intensity Changes in Chinese Manufacturing Sector:The LMDI Decomposition Approach

, 2011
本文采用综合能源消费与增加值真实值的比值作为能源强度的指标,针对中国制造业1994~2009年间能源强度的变动,运用lMdI分解法对其主要的驱动因素进行了研究。研究发现,技术效应是这段时期中国制造业能源强度变化的主导因素,贡献度达到80%以上。并且,对于大部分制造业行业来说,技术效应是造成行业能源强度下降的主要动因。同时,结构效应对能源强度的下降发挥了一定的作用。此外,通过采用分行业价格指数对各个行业的增加值数据进行调整,结果表明,制造业能源强度的下降幅度更大,并且有较大的下降空间。Taken the ...
郑若娟, 王班班
core  

Identifying the key drivers of CO2 emissions in China 1990 - 2015: An approach using the LMDI approach.

, 2018
This study examines China’s CO2 emissions from 1990 – 2015. Using the LMDI decomposition analysis to calculate energy factors, in order to identify the key sectors contributing to CO2 emissions.
Toth, Christian
core  

Reconstructing grid emission intensity for Poland and testing its response to EU ETS carbon prices: A replicable two-source triangulation protocol. [PDF]

MethodsX
Dominiak A, Rusowicz A.
europepmc   +1 more source

City-Scale, Source-Resolved Methane Inventories Reveal Drivers and Mitigation Pathways Across China's Cities. [PDF]

Environ Sci Technol
Zhang L, Chen Y, Wang K, Guo J, Liang S, Wu P, Zhang H, Wu J, Cui Y, Lyu C, Xu H, Wang Q, Cai B, Wang J, Li L.   +14 more
europepmc   +1 more source

Digital deepening and carbon outcomes in China's production network using an integrated framework combining decoupling and decomposition analyses with probabilistic STIRPAT projections. [PDF]

Sci Rep
Huang Y, Li X, Matsumoto K.
europepmc   +1 more source

Elucidating carbon emission responses to land-use transition using the Kaya-LMDI model: a case study of Hainan, China. [PDF]

Sci Rep
Zhao C, Li Y, Wu L, Du W.
europepmc   +1 more source