An analysis of the effects of human capital on green growth : effects and transmission channels
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature..
In this digitalized world, economies have energetically encouraged green transformation. The empirical findings regarding the nexus between human capital and green growth are relatively inconclusive. The study originally explores the effect of human capital on the green growth of a digital economy like China from 1991 to 2019. To investigate the model empirically, we have applied the ARDL technique. Our results indicate that there is a positive impact of different levels of education on the green growth of China in the long run. Regression results also show that renewable energy consumption, internet use, and financial development lead to expansion in green growth in the long run. Our findings can strengthen the belief of the Chinese government on the advancement of green growth.
Errataetall: |
ErratumIn: Environ Sci Pollut Res Int. 2022 Dec 20;:. - PMID 36536204 |
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Medienart: |
E-Artikel |
Erscheinungsjahr: |
2023 |
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Erschienen: |
2023 |
Enthalten in: |
Zur Gesamtaufnahme - volume:30 |
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Enthalten in: |
Environmental science and pollution research international - 30(2023), 4 vom: 19. Jan., Seite 10149-10156 |
Sprache: |
Englisch |
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Beteiligte Personen: |
Liu, Daxu [VerfasserIn] |
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Links: |
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Themen: |
142M471B3J |
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Anmerkungen: |
Date Completed 07.02.2023 Date Revised 07.02.2023 published: Print-Electronic ErratumIn: Environ Sci Pollut Res Int. 2022 Dec 20;:. - PMID 36536204 Citation Status MEDLINE |
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doi: |
10.1007/s11356-022-22587-8 |
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funding: |
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PPN (Katalog-ID): |
NLM34588471X |
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520 | |a In this digitalized world, economies have energetically encouraged green transformation. The empirical findings regarding the nexus between human capital and green growth are relatively inconclusive. The study originally explores the effect of human capital on the green growth of a digital economy like China from 1991 to 2019. To investigate the model empirically, we have applied the ARDL technique. Our results indicate that there is a positive impact of different levels of education on the green growth of China in the long run. Regression results also show that renewable energy consumption, internet use, and financial development lead to expansion in green growth in the long run. Our findings can strengthen the belief of the Chinese government on the advancement of green growth | ||
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