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Artificial intelligence and green total factor energy efficiency: evidence from non-linear models.

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Title: Artificial intelligence and green total factor energy efficiency: evidence from non-linear models.
Authors: Liu, Min1 (AUTHOR), Yuan, Zihao1 (AUTHOR) 1422549040@qq.com, Ping, Weiying2 (AUTHOR)
Source: Applied Economics. Mar2026, Vol. 58 Issue 14, p2664-2680. 17p.
Database: Business Source Ultimate
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Header DbId: bsu
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An: 192312428
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PubType: Academic Journal
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  Data: Artificial intelligence and green total factor energy efficiency: evidence from non-linear models.
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  Data: <searchLink fieldCode="AR" term="%22Liu%2C+Min%22">Liu, Min</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yuan%2C+Zihao%22">Yuan, Zihao</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> 1422549040@qq.com</i><br /><searchLink fieldCode="AR" term="%22Ping%2C+Weiying%22">Ping, Weiying</searchLink><relatesTo>2</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Applied+Economics%22">Applied Economics</searchLink>. Mar2026, Vol. 58 Issue 14, p2664-2680. 17p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsu&AN=192312428
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      – Type: doi
        Value: 10.1080/00036846.2025.2480218
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      – Code: eng
        Text: English
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        PageCount: 17
        StartPage: 2664
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      – TitleFull: Artificial intelligence and green total factor energy efficiency: evidence from non-linear models.
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            NameFull: Liu, Min
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            NameFull: Yuan, Zihao
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              Text: Mar2026
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