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

Authors

  • Roula Inglesi-Lotz Department of Economics, University of Pretoria, Hatfield, Pretoria, South Africa
  • 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

DOI:

https://doi.org/10.32479/ijeep.15934

Keywords:

CO2 Emissions, Economic Development, Clean Fuel and Technology, Central Asia, Autoregressive Distributed Lag, Vector Error Correction Model, Threshold

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 VECM and 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 ( ) 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.

Downloads

Download data is not yet available.

Downloads

Published

2024-07-05

How to Cite

Inglesi-Lotz, R., Kuziboev, B., Ibragimov, J., Rajabov, A., Liu, J., & Abdullaev, F. (2024). Linear and Threshold Effect of CO2 Emissions, Economic Development, Clean Fuel and Technology on Health Expenditure in Central Asia. International Journal of Energy Economics and Policy, 14(4), 116–124. https://doi.org/10.32479/ijeep.15934

Issue

Vol. 14 No. 4 (2024)

Section

Articles

License

Submission of an article implies that the work described has not been published previously , that it is not under consideration for publication elsewhere, that its publication is approved by all authors and tacitly or explicitly by the responsible authorities where the work was carried out, and that, if accepted, will not be published elsewhere in the same form, without the written consent of the Publisher. The Editors reserve the right to edit or otherwise alter all contributions, but authors will receive proofs for approval before publication.