Linear and Threshold Effect of CO2 Emissions, Economic Development, Clean Fuel and Technology on Health Expenditure in Central Asia

Roula Inglesi-Lotz, Bekhzod Kuziboev, Jakhongir Ibragimov, Alibek Rajabov, Jie Liu and Farkhod Abdullaev
Additional contact information
Bekhzod Kuziboev: Department of Economics, Urgench State University, Urgench, Uzbekistan; & University of Tashkent for Applied Sciences, Str. Gavhar 1, Tashkent 100149, Uzbekistan; & Department of Trade, Tourism and Languages, University of South Bohemia, Studentská, Ceske Budejovice, Czech Republic
Jakhongir Ibragimov: Department of Economics, Urgench State University, Urgench, 220100, Uzbekistan,
Alibek Rajabov: Faculty of Economics and Humanities, Mamun University, Khiva, 220900, Uzbekistan
Jie Liu: Center for Energy Environmental Management and Decision-Making, China University of Geosciences, Wuhan, China; & School of Economics and Management, China University of Geosciences, Wuhan, China
Farkhod Abdullaev: Director of the Urgench branch of the Academy of Public Administration under the President of the Republic of Uzbekistan, Urgench, Uzbekistan; & Department of Tourism Urgench State University, Home 14, Kh. Alimjan Str., 220100 Urgench, Uzbekistan

International Journal of Energy Economics and Policy, 2024, vol. 14, issue 4, 116-124

Abstract: 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.

Keywords: CO2 Emissions; Economic Development; Clean Fuel and Technology; Central Asia; Autoregressive Distributed Lag; Vector Error Correction Model; Threshold (search for similar items in EconPapers)
JEL-codes: I10 O10 Q20 Q51 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.econjournals.com/index.php/ijeep/article/download/15934/8058 (application/pdf)
https://www.econjournals.com/index.php/ijeep/article/view/15934 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eco:journ2:2024-04-11

Access Statistics for this article

International Journal of Energy Economics and Policy is currently edited by Ilhan Ozturk

More articles in International Journal of Energy Economics and Policy from Econjournals
Bibliographic data for series maintained by Ilhan Ozturk ().