Unlocking the potential of foreign direct investment to reduce energy intensity.

Developing countries Energy intensity Foreign direct investment Green growth Technological progress

Journal

Environmental science and pollution research international
ISSN: 1614-7499
Titre abrégé: Environ Sci Pollut Res Int
Pays: Germany
ID NLM: 9441769

Informations de publication

Date de publication:
Jun 2023
Historique:
received: 16 02 2023
accepted: 05 05 2023
medline: 28 6 2023
pubmed: 23 5 2023
entrez: 23 5 2023
Statut: ppublish

Résumé

This study examines the potential of foreign direct investment (FDI) to reduce energy intensity in developing countries between 1996 and 2019. Using a generalized method of moments (GMM) estimator, we investigated the linear and non-linear impact of FDI on energy intensity through the interaction effect of FDI and technological progress (TP). The results reveal that FDI has a positive and significant direct effect on energy intensity, whereas the energy-saving effect is evident through energy-efficient technology transfers. The strength of this effect depends on the level of technological progress in developing countries. The outcomes of the Hausman-Taylor and dynamic panel data estimations corroborated these research findings, and disaggregated data analysis by income groups also provided similar results, signifying the validity of the results. Based on the research findings, policy recommendations are formulated to improve the ability of FDI to reduce energy intensity in developing countries.

Identifiants

pubmed: 37219779
doi: 10.1007/s11356-023-27525-w
pii: 10.1007/s11356-023-27525-w
doi:

Substances chimiques

Carbon Dioxide 142M471B3J

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

75382-75400

Informations de copyright

© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

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Auteurs

Ikboljon Kasimov (I)

School of Management, Zhejiang University, Hangzhou, China. 11720063@zju.edu.cn.

Lu Wencong (L)

School of Public Affairs, Zhejiang University, Hangzhou, China.

Hayot Berk Saydaliev (HB)

Mathematic Methods in Economics, Tashkent State University of Economics, Tashkent, Uzbekistan.

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