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The Threshold Effect of FDI on CO(2) Emission in Belt and Road Countries
Under the background of the global “carbon neutrality” goal, it is of great significance to study the environmental effect of FDI in rapid economic development. This paper proposes an original framework to determine the relative influence of five factors on the Belt and Road countries with a strong...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8954353/ https://www.ncbi.nlm.nih.gov/pubmed/35329208 http://dx.doi.org/10.3390/ijerph19063523 |
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author | Nie, Ying Liu, Qingjie Liu, Rong Ren, Dexiao Zhong, Yao Yu, Feng |
author_facet | Nie, Ying Liu, Qingjie Liu, Rong Ren, Dexiao Zhong, Yao Yu, Feng |
author_sort | Nie, Ying |
collection | PubMed |
description | Under the background of the global “carbon neutrality” goal, it is of great significance to study the environmental effect of FDI in rapid economic development. This paper proposes an original framework to determine the relative influence of five factors on the Belt and Road countries with a strong FDI-CO(2) association. Based on the panel smooth transition regression (PSTR) model, we establish country-specific and time-specific FDI-CO(2) coefficients for 59 Belt and Road countries during 2003–2018. These coefficients are assumed to change smoothly as a function of five threshold variables, considered the most important in the literature devoted to the FDI-CO(2) correlations. The results show that the degree of GDP per capita, industrialization, openness, and total factor productivity significantly influences the FDI-CO(2) relationship. However, they showed obvious heterogeneity. The coefficient of elasticity of the environmental effects of FDI smoothly transitions between the different intervals, the relationship between GDP per capita and FDI-CO(2) coefficient shows a bell-shaped change, the relationship between degree of trade openness and FDI-CO(2) coefficient also shows a bell-shaped change, the relationship between industrialization level and FDI-CO(2) coefficient shows an inverted N-shaped change, the change of a country’s technological level shows a bell-shaped relationship with the FDI-CO(2) coefficient. The results indicate that PSTR model can be used to study the threshold effect on FDI’s influence on carbon dioxide emissions and the individual and time differences in coefficients of elasticity, to provide a new research perspective and new conclusions on the environmental effect of FDI in rapid economic development. |
format | Online Article Text |
id | pubmed-8954353 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-89543532022-03-26 The Threshold Effect of FDI on CO(2) Emission in Belt and Road Countries Nie, Ying Liu, Qingjie Liu, Rong Ren, Dexiao Zhong, Yao Yu, Feng Int J Environ Res Public Health Article Under the background of the global “carbon neutrality” goal, it is of great significance to study the environmental effect of FDI in rapid economic development. This paper proposes an original framework to determine the relative influence of five factors on the Belt and Road countries with a strong FDI-CO(2) association. Based on the panel smooth transition regression (PSTR) model, we establish country-specific and time-specific FDI-CO(2) coefficients for 59 Belt and Road countries during 2003–2018. These coefficients are assumed to change smoothly as a function of five threshold variables, considered the most important in the literature devoted to the FDI-CO(2) correlations. The results show that the degree of GDP per capita, industrialization, openness, and total factor productivity significantly influences the FDI-CO(2) relationship. However, they showed obvious heterogeneity. The coefficient of elasticity of the environmental effects of FDI smoothly transitions between the different intervals, the relationship between GDP per capita and FDI-CO(2) coefficient shows a bell-shaped change, the relationship between degree of trade openness and FDI-CO(2) coefficient also shows a bell-shaped change, the relationship between industrialization level and FDI-CO(2) coefficient shows an inverted N-shaped change, the change of a country’s technological level shows a bell-shaped relationship with the FDI-CO(2) coefficient. The results indicate that PSTR model can be used to study the threshold effect on FDI’s influence on carbon dioxide emissions and the individual and time differences in coefficients of elasticity, to provide a new research perspective and new conclusions on the environmental effect of FDI in rapid economic development. MDPI 2022-03-16 /pmc/articles/PMC8954353/ /pubmed/35329208 http://dx.doi.org/10.3390/ijerph19063523 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Nie, Ying Liu, Qingjie Liu, Rong Ren, Dexiao Zhong, Yao Yu, Feng The Threshold Effect of FDI on CO(2) Emission in Belt and Road Countries |
title | The Threshold Effect of FDI on CO(2) Emission in Belt and Road Countries |
title_full | The Threshold Effect of FDI on CO(2) Emission in Belt and Road Countries |
title_fullStr | The Threshold Effect of FDI on CO(2) Emission in Belt and Road Countries |
title_full_unstemmed | The Threshold Effect of FDI on CO(2) Emission in Belt and Road Countries |
title_short | The Threshold Effect of FDI on CO(2) Emission in Belt and Road Countries |
title_sort | threshold effect of fdi on co(2) emission in belt and road countries |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8954353/ https://www.ncbi.nlm.nih.gov/pubmed/35329208 http://dx.doi.org/10.3390/ijerph19063523 |
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