Chinese FDI outflows and host country environment

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12510%2F24%3A43908364" target="_blank" >RIV/60076658:12510/24:43908364 - isvavai.cz</a>

Výsledek na webu

<a href="http://2-s2.0-85197116429" target="_blank" >http://2-s2.0-85197116429</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.jenvman.2024.121675" target="_blank" >10.1016/j.jenvman.2024.121675</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Chinese FDI outflows and host country environment

Popis výsledku v původním jazyce

This study provides first evidence on the effects of Chinese FDI (Foreign Direct Investment) outflows on host country environments . The study draws upon a comprehensive dataset covering aggregate Chinese FDI outflows and sector specific data into 65 host nations over the 2007-2019 period. Employing a STIRPAT (Stochastic Regression on Population, Affluence and Technology) model and several different techniques including DID (Difference-in-Difference), pooled OLS (Ordinary Least Squares), quantile regression, IV (Instrumental Variable) estimation, threshold and Tobit regression, the findings suggest that Chinese FDI leads to an increase in host country CO2 (Carbon Dioxide) emissions, aligning with the pollution haven hypothesis at the aggregate level. A closer investigation at the development regime and sectoral levels indicates that in the low development regime, FDI inflows into the financial and real estate sector increase emissions. Conversely in the high-income regime, Chinese FDI into the entertainment sector is associated with an increase in carbon emissions. Chinese FDI is further found to lead to an increase in emissions in countries with a per capita GDP (Gross Domestic Product) of below USD72041.7. However, as per capita income rises above USD72041.7, FDI leads to a fall in carbon emissions.

Název v anglickém jazyce

Chinese FDI outflows and host country environment

Popis výsledku anglicky

This study provides first evidence on the effects of Chinese FDI (Foreign Direct Investment) outflows on host country environments . The study draws upon a comprehensive dataset covering aggregate Chinese FDI outflows and sector specific data into 65 host nations over the 2007-2019 period. Employing a STIRPAT (Stochastic Regression on Population, Affluence and Technology) model and several different techniques including DID (Difference-in-Difference), pooled OLS (Ordinary Least Squares), quantile regression, IV (Instrumental Variable) estimation, threshold and Tobit regression, the findings suggest that Chinese FDI leads to an increase in host country CO2 (Carbon Dioxide) emissions, aligning with the pollution haven hypothesis at the aggregate level. A closer investigation at the development regime and sectoral levels indicates that in the low development regime, FDI inflows into the financial and real estate sector increase emissions. Conversely in the high-income regime, Chinese FDI into the entertainment sector is associated with an increase in carbon emissions. Chinese FDI is further found to lead to an increase in emissions in countries with a per capita GDP (Gross Domestic Product) of below USD72041.7. However, as per capita income rises above USD72041.7, FDI leads to a fall in carbon emissions.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

50202 - Applied Economics, Econometrics

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2024

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Journal of Environmental Management

ISSN

0301-4797

e-ISSN

1095-8630

Svazek periodika

366

Číslo periodika v rámci svazku

Neuvedn

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

15

Strana od-do

121675

Kód UT WoS článku

001266618900001

EID výsledku v databázi Scopus

2-s2.0-85197116429