New insights on the environmental Kuznets curve (EKC) for Central Asia

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12510%2F24%3A43908367" target="_blank" >RIV/60076658:12510/24:43908367 - isvavai.cz</a>

Výsledek na webu

<a href="http://10.1007/s00181-023-02520-9" target="_blank" >http://10.1007/s00181-023-02520-9</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s00181-023-02520-9" target="_blank" >10.1007/s00181-023-02520-9</a>

Jazyk výsledku

angličtina

Název v původním jazyce

New insights on the environmental Kuznets curve (EKC) for Central Asia

Popis výsledku v původním jazyce

We estimate the environmental Kuznets curve (EKC) for Central Asia by allowing for the possibility of linear, U-shaped and N-shaped forms, and considering the impact of ecological footprint, climate change adaptation and energy consumption. We employ a fully modified ordinary least squares framework for cointegrating polynomial regressions, and include obtained long-run relations in a panel Vector Error Correction model. The findings suggest that the linear EKC form is more coherent for Central Asia compared to the N-shaped EKC form. We link this to the fact that the Central Asian countries are in the first stage of the EKC. We observe that Gross domestic product, ecological footprint, energy consumption and climate change adaptation positively impact carbon dioxide emissions in the long-run. Moreover, there is bidirectional causality from GDP and climate change adaptation to CO2 emissions, while causality is unidirectional between emissions and energy consumption.

Název v anglickém jazyce

New insights on the environmental Kuznets curve (EKC) for Central Asia

Popis výsledku anglicky

We estimate the environmental Kuznets curve (EKC) for Central Asia by allowing for the possibility of linear, U-shaped and N-shaped forms, and considering the impact of ecological footprint, climate change adaptation and energy consumption. We employ a fully modified ordinary least squares framework for cointegrating polynomial regressions, and include obtained long-run relations in a panel Vector Error Correction model. The findings suggest that the linear EKC form is more coherent for Central Asia compared to the N-shaped EKC form. We link this to the fact that the Central Asian countries are in the first stage of the EKC. We observe that Gross domestic product, ecological footprint, energy consumption and climate change adaptation positively impact carbon dioxide emissions in the long-run. Moreover, there is bidirectional causality from GDP and climate change adaptation to CO2 emissions, while causality is unidirectional between emissions and energy consumption.

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

Empirical Economics

ISSN

0377-7332

e-ISSN

1435-8921

Svazek periodika

66

Číslo periodika v rámci svazku

5

Stát vydavatele periodika

DE - Spolková republika Německo

Počet stran výsledku

20

Strana od-do

2335-2354

Kód UT WoS článku

001100380900002

EID výsledku v databázi Scopus

2-s2.0-85175658402