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Evaluation of the Urban Forest Development Effectiveness in Chinese Cities: A Causal Inference Approach Based on Double Machine Learning.

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Title: Evaluation of the Urban Forest Development Effectiveness in Chinese Cities: A Causal Inference Approach Based on Double Machine Learning.
Authors: Liu, Huanpeng1 (AUTHOR), Wang, Luning1,2 (AUTHOR), Wei, Feng1,2 (AUTHOR), Wang, Yameng1,2 (AUTHOR) wym2022@qfnu.edu.cn
Source: Forests (19994907). Jun2026, Vol. 17 Issue 6, p666. 24p.
Database: Environment Complete
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DbLabel: Environment Complete
An: 194905884
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PubType: Academic Journal
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  Data: Evaluation of the Urban Forest Development Effectiveness in Chinese Cities: A Causal Inference Approach Based on Double Machine Learning.
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  Data: <searchLink fieldCode="JN" term="%22Forests+%2819994907%29%22">Forests (19994907)</searchLink>. Jun2026, Vol. 17 Issue 6, p666. 24p.
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.3390/f17060666
    Languages:
      – Code: eng
        Text: English
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        PageCount: 24
        StartPage: 666
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      – TitleFull: Evaluation of the Urban Forest Development Effectiveness in Chinese Cities: A Causal Inference Approach Based on Double Machine Learning.
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            NameFull: Liu, Huanpeng
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            NameFull: Wang, Luning
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            NameFull: Wei, Feng
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            – D: 01
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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              Value: 19994907
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              Value: 17
            – Type: issue
              Value: 6
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            – TitleFull: Forests (19994907)
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