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ESG performance and green innovation: An investigation based on quantile regression.

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Title: ESG performance and green innovation: An investigation based on quantile regression.
Authors: Long, Han1 (AUTHOR), Feng, Gen‐Fu1 (AUTHOR), Gong, Qiang2 (AUTHOR) qianggong@zuel.edu.cn, Chang, Chun‐Ping3 (AUTHOR) cpchang@g2.usc.edu.tw
Source: Business Strategy & the Environment (John Wiley & Sons, Inc). Nov2023, Vol. 32 Issue 7, p5102-5118. 17p.
Database: Business Source Ultimate
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Header DbId: bsu
DbLabel: Business Source Ultimate
An: 173474396
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsu&AN=173474396
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1002/bse.3410
    Languages:
      – Code: eng
        Text: English
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        PageCount: 17
        StartPage: 5102
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      – TitleFull: ESG performance and green innovation: An investigation based on quantile regression.
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            NameFull: Long, Han
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            NameFull: Feng, Gen‐Fu
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            NameFull: Gong, Qiang
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            NameFull: Chang, Chun‐Ping
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            – D: 01
              M: 11
              Text: Nov2023
              Type: published
              Y: 2023
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              Value: 32
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              Value: 7
          Titles:
            – TitleFull: Business Strategy & the Environment (John Wiley & Sons, Inc)
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