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China’s Energy Intensity, Determinants and Spatial Effects. (2016). Jiang, Lei.
In: Sustainability.
RePEc:gam:jsusta:v:8:y:2016:i:6:p:544-:d:71764.

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  1. Impact of heat and electricity consumption on energy intensity: A panel data analysis. (2022). Jin, Taeyoung.
    In: Energy.
    RePEc:eee:energy:v:239:y:2022:i:pa:s0360544221021514.

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  2. Effects of urbanization on energy efficiency in China: New evidence from short run and long run efficiency models. (2020). Cheng, Jianquan ; Lv, Yulan.
    In: Energy Policy.
    RePEc:eee:enepol:v:147:y:2020:i:c:s0301421520305759.

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  3. Spatiotemporal investigation of energy network patterns of agglomeration economies in China: Province-level evidence. (2019). Tang, Miaohan ; Shen, Geoffrey Qiping ; Liu, Guiwen ; Liang, Xin ; Gu, Jianping ; Hong, Jingke.
    In: Energy.
    RePEc:eee:energy:v:187:y:2019:i:c:s0360544219316925.

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  4. Energy intensity and its differences across China’s regions: Combining econometric and decomposition analysis. (2019). He, Yongxiu ; Guang, Fengtao ; Sharp, Basil ; Wen, LE.
    In: Energy.
    RePEc:eee:energy:v:180:y:2019:i:c:p:989-1000.

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  5. Modelling dynamic impacts of urbanization on disaggregated energy consumption in China: A spatial Durbin modelling and decomposition approach. (2019). Cheng, Jianquan ; Lv, Yulan.
    In: Energy Policy.
    RePEc:eee:enepol:v:133:y:2019:i:c:s0301421519304197.

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  6. Foreign direct investment and energy intensity in China: Firm-level evidence. (2019). Li, Shuang ; Bu, Maoliang ; Jiang, Lei.
    In: Energy Economics.
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  7. A Study on China’s Urban Electricity Productivity Convergence with Spatial Smooth Transition Effect. (2017). Zhang, Yingqing ; Fan, Ruguo ; Luo, Ming.
    In: Sustainability.
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  8. The driving forces of the change in Chinas energy intensity: An empirical research using DEA-Malmquist and spatial panel estimations. (2017). Huang, Junbing ; Hao, YU ; Du, Dan .
    In: Economic Modelling.
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