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Exploring the mechanisms affecting energy consumption in the construction industry using an integrated theoretical framework: Evidence from the Yangtze River economic Belt. (2024). Huang, Yicheng ; Li, Xingwei.
In: Energy.
RePEc:eee:energy:v:299:y:2024:i:c:s0360544224012568.

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  1. From dilemma to breakthrough: fuzzy-set qualitative comparative analysis of green development behavior pathways in construction materials enterprises. (2025). Li, Xingwei ; Yao, Yuhong ; Shen, Qiong.
    In: Palgrave Communications.
    RePEc:pal:palcom:v:12:y:2025:i:1:d:10.1057_s41599-025-04493-9.

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  40. Land use efficiency and influencing factors of urban agglomerations in China. (2019). Yang, Shanlin ; Zhou, Kaile ; Yu, Junqing.
    In: Land Use Policy.
    RePEc:eee:lauspo:v:88:y:2019:i:c:s0264837719301577.

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  41. Quantitative assessment of factors affecting energy intensity from sector, region and time perspectives using decomposition method: A case of China’s metallurgical industry. (2019). Lin, Boqiang ; Xu, Mengmeng.
    In: Energy.
    RePEc:eee:energy:v:189:y:2019:i:c:s0360544219319759.

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  42. The influence of economic, technical, and social aspects on energy-associated CO2 emissions in Malaysia: An extended Kaya identity approach. (2019). Othman, Jamal ; Kiew Ling, Pui ; Pui, Kiew Ling.
    In: Energy.
    RePEc:eee:energy:v:181:y:2019:i:c:p:468-493.

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  43. Would the decoupling of electricity occur along with economic growth? Empirical evidence from the panel data analysis for 100 Chinese cities. (2019). Hao, Yu ; Zhang, Tianli ; Xiao, Linqi ; Jing, Leijie.
    In: Energy.
    RePEc:eee:energy:v:180:y:2019:i:c:p:615-625.

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  44. Regime switching effect of financial development on energy intensity: Evidence from Markov-switching vector error correction model. (2019). Pan, Xiongfeng ; Saima, Umme ; Guo, Shucen ; Uddin, Md Kamal.
    In: Energy Policy.
    RePEc:eee:enepol:v:135:y:2019:i:c:s0301421519305828.

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  45. Regional heterogeneity of Chinas energy efficiency in “new normal”: A meta-frontier Super-SBM analysis. (2019). Yang, Shanlin ; Zhou, Kaile ; Yu, Junqing.
    In: Energy Policy.
    RePEc:eee:enepol:v:134:y:2019:i:c:s0301421519305282.

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  46. How do industrialization and trade openness influence energy intensity? Evidence from a path model in case of Bangladesh. (2019). Jiao, Zhiming ; Pan, Xiongfeng ; Saima, Umme ; Uddin, Md Kamal ; Han, Cuicui.
    In: Energy Policy.
    RePEc:eee:enepol:v:133:y:2019:i:c:s030142151930494x.

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  47. Pathways to reduce CO2 emissions as countries proceed through stages of economic development. (2019). Valadkhani, Abbas ; Nguyen, Jeremy ; Bowden, Mark.
    In: Energy Policy.
    RePEc:eee:enepol:v:129:y:2019:i:c:p:268-278.

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  48. A novel GDP prediction technique based on transfer learning using CO2 emission dataset. (2019). Kumar, Sandeep ; Muhuri, Pranab K.
    In: Applied Energy.
    RePEc:eee:appene:v:253:y:2019:i:c:65.

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  49. Life cycle greenhouse gas emissions of multi-pathways natural gas vehicles in china considering methane leakage. (2019). Yuan, Zhiyi ; Ou, Xunmin ; Yan, Xiaoyu ; Peng, Tianduo.
    In: Applied Energy.
    RePEc:eee:appene:v:253:y:2019:i:c:51.

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  50. Worldwide energy use across global supply chains: Decoupled from economic growth?. (2019). Kan, Siyi ; Chen, Guoqian.
    In: Applied Energy.
    RePEc:eee:appene:v:250:y:2019:i:c:p:1235-1245.

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