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Multiplicative structural decomposition analysis of aggregate embodied energy and emission intensities. (2017). Su, Bin ; Ang, B W ; Wang, B.
In: Energy Economics.
RePEc:eee:eneeco:v:65:y:2017:i:c:p:137-147.

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  2. Household energy consumption, energy efficiency, and household income–Evidence from China. (2024). Ullah, Assad ; Dang, Yongjie ; Zheng, Jiajia ; Assad, Ullah.
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  5. Intersectoral transfers and drivers of net CO2 emissions in China incorporating sources and sinks. (2023). Wang, Qunwei ; Jeong, Sujong ; Hang, YE.
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  7. The rising North-South carbon flows within China from 2012 to 2017. (2023). Du, Huibin ; Yao, YE ; Zhang, Zengkai ; Zeng, Zhao ; Li, Xiaoyu.
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  9. Embodied energy intensity of global high energy consumption industries: A case study of the construction industry. (2023). Su, Bin ; Renfei, XV ; Liu, Yue ; Xie, Rui ; Zhao, Yuanyuan ; Chen, Liming.
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  10. Structural decomposition analysis applied to energy and emissions: Frameworks for monthly data. (2023). Su, Bin ; Ang, B W.
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  11. Sector aggregation effect on embodied carbon emission based on city-centric global multi-region input-output (CCG-MRIO) model. (2023). Giannetti, Biagio F ; Almeida, Cecilia Mvb ; Agostinho, Feni ; Li, Hui ; Yan, Ningyu ; Meng, Fanxin ; Liu, Gengyuan ; Xu, Duo.
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  14. Domestic versus foreign energy use: an analysis for four European countries. (2022). Molina, Jesus ; Rodriguez, Mercedes ; Almeida, Lucas Silva ; Camacho, Jose A.
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  17. Decomposition Analysis of Regional Embodied Carbon Flow and Driving Factors—Taking Shanghai as an Example. (2022). Wang, Yukun ; Sun, Kaining ; Li, Min ; Cai, Sinan ; Guo, Mingxing ; Chen, Peng.
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  19. Features, Mechanisms and Optimization of Embodied Carbon Emissions for Energy Supply Bases: Case Study of Shanxi, China. (2022). Dong, Suocheng ; Liu, Qian ; Yang, Yang ; Cheng, Hao.
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  20. How digital industries affect Chinas carbon emissions? Analysis of the direct and indirect structural effects. (2022). Dong, Kangyin ; Wang, Jianda.
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  25. Integrated Spatial-Temporal decomposition analysis for life cycle assessment of carbon emission intensity change in various regions of China. (2022). Hunjra, Ahmed ; Hussain, Nazim ; Younes, Ben Zaied ; Azam, Muhammad.
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  30. Patterns and drivers of embodied carbon intensity in international exports: The role of trade and environmental policies. (2022). Su, Bin ; Goh, Tian ; Zhong, Sheng.
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  31. Improved granularity in input-output analysis of embodied energy and emissions: The use of monthly data. (2022). Ang, B W ; Wang, B ; Su, Bin.
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  33. Input-output analysis of embodied emissions: Impacts of imports data treatment on emission drivers. (2022). Su, Bin ; Ang, B.W. ; Sun, Ya-Fang ; Wang, B.
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  36. Framework for accounting for tourism carbon emissions in China: An industrial linkage perspective. (2021). Meng, Yuanyuan ; He, Lamei ; Yao, Yao ; Fan, Rong ; Zha, Jianping.
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  38. Economic Benefits and Pollutants Emission Embodied in China–US Merchandise Trade—Comparative Analysis Based on Gross Trade, Value Added Trade and Value Added in Trade. (2021). He, Ling-Yun ; Huang, Hui.
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  39. Transfer Patterns and Drivers of Embodied Agricultural Land within China: Based on Multi-Regional Decomposition Analysis. (2021). Li, Shuchang ; Han, Mengyao.
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  54. Demand contributors and driving factors of Singapore’s aggregate carbon intensities. (2020). Su, Bin ; Ang, BW ; Wang, B.
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  65. China’s aggregate embodied CO2 emission intensity from 2007 to 2012: A multi-region multiplicative structural decomposition analysis. (2020). Su, Bin ; Wang, Zhenguo ; Long, Haiyu ; Xie, Rui.
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  70. A Structural Decomposition Analysis of China’s Consumption-Based Greenhouse Gas Emissions. (2019). Wang, Gehua ; Gu, Alun ; Gao, Haidi ; Teng, Fei.
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  71. Coupling Structural Decomposition Analysis and Sensitivity Analysis to Investigate CO 2 Emission Intensity in China. (2019). Zhang, Junrong ; Tang, Ling ; Li, Ling.
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  72. The impact of factor price changes and technological progress on the energy intensity of Chinas industries: Kalman filter-based econometric method. (2019). Zheng, Haitao ; Fan, Maoqing.
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  73. Energy footprint controlled by urban demands: How much does supply chain complexity contribute?. (2019). Long, Huihui ; Zhu, Feiyao ; Chen, Shaoqing ; Yang, Jin.
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  74. A multi-region multi-sector decomposition and attribution analysis of aggregate carbon intensity in China from 2000 to 2015. (2019). Su, Bin ; Kang, Jidong ; Ma, Zujun ; Liu, Nan.
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  75. Economic gains and environmental losses from international trade: A decomposition of pollution intensity in Chinas value-added trade. (2019). Yan, Bingqian ; Duan, Yuwan.
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  76. Structural path and decomposition analysis of aggregate embodied energy and emission intensities. (2019). Li, Yingzhu ; Ang, B W ; Wang, B ; Su, Bin.
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  77. The impact of regional convergence in energy-intensive industries on Chinas CO2 emissions and emission goals. (2019). Hu, Mingming ; Wang, Juan ; Tukker, Arnold.
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    In: Ecological Economics.
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  34. Driving forces of Irans CO2 emissions from energy consumption: An LMDI decomposition approach. (2017). Stephen, Neil ; Manuel, Jose Bienvenido ; Blesl, Markus ; Mousavi, Babak.
    In: Applied Energy.
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  35. A Study of Energy Efficiency and Mitigation of Carbon Emission: Implication of Decomposing Energy Intensity of Manufacturing Sector in Taiwan. (2017). Huang, Yu-Kai ; Sun, Lih-Chyun ; Hsu, Jyh-Yih .
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    RePEc:eco:journ2:2017-02-04.

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  36. Final Energy Consumption Trends and Drivers in Czech Republic and Latvia. (2017). Baležentis, Tomas ; Dapkus, Rimantas ; Balezentis, Tomas ; Streimikiene, Dalia ; Yu, Zhiqian.
    In: The AMFITEATRU ECONOMIC journal.
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  37. The Multilevel Index Decomposition of Energy-Related Carbon Emission and Its Decoupling with Economic Growth in USA. (2016). Jiang, Xueting ; Li, Rong-Rong ; Wang, Xing-Min ; Dong, Jie-Fang .
    In: Sustainability.
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  38. Geographical Detector Model for Influencing Factors of Industrial Sector Carbon Dioxide Emissions in Inner Mongolia, China. (2016). Bao, Yuhai ; Zhang, Jiquan ; Wu, Rina.
    In: Sustainability.
    RePEc:gam:jsusta:v:8:y:2016:i:2:p:149-:d:63532.

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  39. Multilevel Index Decomposition of Energy-Related Carbon Emissions and Their Decoupling from Economic Growth in Northwest China. (2016). Wang, Xing-Min ; Dong, Jie-Fang ; Deng, Chun ; Zhang, Xiao-Lei.
    In: Energies.
    RePEc:gam:jeners:v:9:y:2016:i:9:p:680-:d:76689.

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  40. The Driving Forces of Changes in CO 2 Emissions in China: A Structural Decomposition Analysis. (2016). Guo, Xiaodan ; Xiao, Bowen ; Niu, Dongxiao.
    In: Energies.
    RePEc:gam:jeners:v:9:y:2016:i:4:p:259-:d:67071.

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  41. Carbon dioxide-emission in China׳s power industry: Evidence and policy implications. (2016). Lin, Boqiang ; Yang, Lisha .
    In: Renewable and Sustainable Energy Reviews.
    RePEc:eee:rensus:v:60:y:2016:i:c:p:258-267.

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  42. Carbon intensity of electricity in ASEAN: Drivers, performance and outlook. (2016). Ang, BW ; Goh, Tian ; Wang, B.
    In: Energy Policy.
    RePEc:eee:enepol:v:98:y:2016:i:c:p:170-179.

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  43. Carbon emission intensity in electricity production: A global analysis. (2016). Su, Bin ; Ang, B W ; Wang, B.
    In: Energy Policy.
    RePEc:eee:enepol:v:94:y:2016:i:c:p:56-63.

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  44. Main drivers of changes in CO2 emissions in the Spanish economy: A structural decomposition analysis. (2016). Cansino, Jose M ; Ordoez, Manuel ; Roman, Rocio.
    In: Energy Policy.
    RePEc:eee:enepol:v:89:y:2016:i:c:p:150-159.

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  45. A comparative study on the influential factors of Chinas provincial energy intensity. (2016). Yang, Guangfei ; Zhang, Dong Qing ; Wang, Jianliang ; Li, Wenli.
    In: Energy Policy.
    RePEc:eee:enepol:v:88:y:2016:i:c:p:74-85.

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  46. An analysis of the driving factors of energy-related CO2 emission reduction in China from 2005 to 2013. (2016). Zhang, Xiliang ; Weng, Yuyan ; Qi, Tianyu ; He, Jiankun .
    In: Energy Economics.
    RePEc:eee:eneeco:v:60:y:2016:i:c:p:15-22.

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  47. A spatial–temporal decomposition approach to performance assessment in energy and emissions. (2016). Ang, BW ; Su, Bin ; Wang, H.
    In: Energy Economics.
    RePEc:eee:eneeco:v:60:y:2016:i:c:p:112-121.

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  48. Impacts of energy consumption, energy structure, and treatment technology on SO2 emissions: A multi-scale LMDI decomposition analysis in China. (2016). Zhang, Wenzhong ; Wang, Shaojian ; Yang, Xue ; Zou, Yafeng ; Li, Jiaming .
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    RePEc:eee:appene:v:184:y:2016:i:c:p:714-726.

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  49. Exploring the driving forces and mitigation pathways of CO2 emissions in China’s petroleum refining and coking industry: 1995–2031. (2016). Shao, Shuai ; Lin, Boqiang ; Xie, Xuan .
    In: Applied Energy.
    RePEc:eee:appene:v:184:y:2016:i:c:p:1004-1015.

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  50. Decomposition analysis from demand services to material production: The case of CO2 emissions from steel produced for automobiles in Mexico. (2016). Sheinbaum-Pardo, Claudia .
    In: Applied Energy.
    RePEc:eee:appene:v:174:y:2016:i:c:p:245-255.

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