Provincial-level useful work and influencing factors analysis in China from 1985 to 2016: Based on logarithmic mean divisia index decomposition and affinity propagation clustering-Reference-Cited by-同舟云学术

Provincial-level useful work and influencing factors analysis in China from 1985 to 2016: Based on logarithmic mean divisia index decomposition and affinity propagation clustering

Published:2019-03 Issue: Volume:212 Page:223-239
ISSN:0959-6526
Container-title:Journal of Cleaner Production
language:en
Short-container-title:Journal of Cleaner Production

Author:

Xue Yinglan,Jia Zimu,Zeng Weihua

Funder

Responding to the urgent climate change after Paris Climate Change Conference

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Strategy and Management,General Environmental Science,Renewable Energy, Sustainability and the Environment

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1. Research on spatial and temporal differences of carbon emissions and influencing factors in eight economic regions of China based on LMDI model;Scientific Reports;2023-05-17

2. Decomposition of residential electricity-related CO2 emissions in China, a spatial-temporal study;Journal of Environmental Management;2022-10

3. Factors influencing carbon emissions from China's electricity industry: Analysis using the combination of LMDI and K-means clustering;Environmental Impact Assessment Review;2022-03

4. Provincial-level industrial CO2 emission drivers and emission reduction strategies in China: Combining two-layer LMDI method with spectral clustering;Science of The Total Environment;2020-01