Linear and Threshold Effect of CO2 Emissions, Economic Development, Clean Fuel and Technology on Health Expenditure in Central Asia
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12510%2F24%3A43908365" target="_blank" >RIV/60076658:12510/24:43908365 - isvavai.cz</a>
Výsledek na webu
<a href="http://10.32479/ijeep.15934" target="_blank" >http://10.32479/ijeep.15934</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.32479/ijeep.15934" target="_blank" >10.32479/ijeep.15934</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Linear and Threshold Effect of CO2 Emissions, Economic Development, Clean Fuel and Technology on Health Expenditure in Central Asia
Popis výsledku v původním jazyce
The investigation is a pioneer in examining the joint impact of CO2 emissions, economic development, access to clean fuel and technology, and threshold effect on health expenditure in Central Asia. For this purpose, the balanced panel dataset is built for 5 Central Asian countries, namely Uzbekistan, Kazakhstan, Kyrgyzstan, Tajikistan, and Turkmenistan, spanning 2000-2020 with annual data. The results of the Johansen cointegration test and error correction coefficients of vector error correction model and autoregressive distributed lag (ARDL) show a long-run association among the studied variables. Granger causality test shows the causal effect from independent variables to dependent variables, further validating model construction’s relevance. According to the ARDL model findings, CO2 emissions, economic development, access to clean fuel, and technology positively impact health expenditure. Threshold regression results reveal that the economic development stage (PGDP) should be between 2326.36 and 2345.87 USD to increase health expenditure that can rationally respond to environmental degradation. Policy actions like renewable energy transition and enhancing economic development levels are proposed.
Název v anglickém jazyce
Linear and Threshold Effect of CO2 Emissions, Economic Development, Clean Fuel and Technology on Health Expenditure in Central Asia
Popis výsledku anglicky
The investigation is a pioneer in examining the joint impact of CO2 emissions, economic development, access to clean fuel and technology, and threshold effect on health expenditure in Central Asia. For this purpose, the balanced panel dataset is built for 5 Central Asian countries, namely Uzbekistan, Kazakhstan, Kyrgyzstan, Tajikistan, and Turkmenistan, spanning 2000-2020 with annual data. The results of the Johansen cointegration test and error correction coefficients of vector error correction model and autoregressive distributed lag (ARDL) show a long-run association among the studied variables. Granger causality test shows the causal effect from independent variables to dependent variables, further validating model construction’s relevance. According to the ARDL model findings, CO2 emissions, economic development, access to clean fuel, and technology positively impact health expenditure. Threshold regression results reveal that the economic development stage (PGDP) should be between 2326.36 and 2345.87 USD to increase health expenditure that can rationally respond to environmental degradation. Policy actions like renewable energy transition and enhancing economic development levels are proposed.
Klasifikace
Druh
J<sub>SC</sub> - Článek v periodiku v databázi SCOPUS
CEP obor
—
OECD FORD obor
50202 - Applied Economics, Econometrics
Návaznosti výsledku
Projekt
—
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2024
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
International Journal of Energy Economics and Policy
ISSN
2146-4553
e-ISSN
2146-4553
Svazek periodika
14
Číslo periodika v rámci svazku
4
Stát vydavatele periodika
TR - Turecká republika
Počet stran výsledku
9
Strana od-do
"116 "- 124
Kód UT WoS článku
—
EID výsledku v databázi Scopus
2-s2.0-85199589443