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Urban Carbon Emission Efficiency Analysis Based on Interpretable Machine Learning: Revealing the Nonlinear Input-Output Relationships of Super-Sbm-Dea Model
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inferredcites →https://doi.org/10.1006/jcss.1997.1504openalex-extracted
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inferredcites →https://doi.org/10.1007/s10346-015-0557-6openalex-extracted
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inferredcites →https://doi.org/10.1016/0377-2217(78)90138-8openalex-extracted
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inferredcites →https://doi.org/10.1016/j.amc.2017.07.059openalex-extracted
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inferredcites →https://doi.org/10.1016/j.apenergy.2014.12.040openalex-extracted
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inferredcites →https://doi.org/10.1016/j.apenergy.2016.08.158openalex-extracted
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inferredcites →https://doi.org/10.1016/j.apenergy.2017.04.072openalex-extracted
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inferredcites →https://doi.org/10.1016/j.cie.2022.108631openalex-extracted
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inferredcites →https://doi.org/10.1016/j.eiar.2021.106634openalex-extracted
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inferredcites →https://doi.org/10.1016/j.ejor.2010.08.025openalex-extracted
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inferredcites →https://doi.org/10.1016/j.ejor.2014.02.039openalex-extracted
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inferredcites →https://doi.org/10.1016/j.ejor.2020.09.044openalex-extracted
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inferredcites →https://doi.org/10.1016/j.eneco.2021.105658openalex-extracted
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inferredcites →https://doi.org/10.1016/j.eswa.2015.04.062openalex-extracted
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inferredcites →https://doi.org/10.1016/j.ijpe.2013.02.009openalex-extracted
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inferredcites →https://doi.org/10.1016/j.jclepro.2020.121395openalex-extracted
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inferredcites →https://doi.org/10.1016/j.jenvman.2017.08.052openalex-extracted
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inferredcites →https://doi.org/10.1023/a:1009715923555openalex-extracted
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