Forecasting and Distribution of the Greenhouse Gas Emissions of Türkiye

Çankaya, Mehmet Niyazi; Özen, Ercan

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dc.contributor.author	Çankaya, Mehmet Niyazi
dc.contributor.author	Özen, Ercan
dc.date.accessioned	2025-01-16T07:57:53Z
dc.date.available	2025-01-16T07:57:53Z
dc.date.issued	2024-09
dc.identifier.isbn	978-9975-167-96-3
dc.identifier.uri	https://irek.ase.md:443/xmlui/handle/123456789/3717
dc.description	ÇANKAYA, Mehmet Niyazi, ÖZEN, Ercan. Forecasting and Distribution of the Greenhouse Gas Emissions of Türkiye [online]. In: Competitiveness and Innovation in the Knowledge Economy: 28th International Scientific Conference, 20-21 sept. 2024: [Conference Proceedings]. Chișinău: ASEM, 2024, vol. 1, pp. 167-171. ISBN 978-9975-167-96-3.	en_US
dc.description.abstract	A simple linear regression model is used to predict and forecast total greenhouse gas emissions. The parameters of the regression model are determined using maximum likelihood estimation method, assuming that the error terms follow an exponential power distribution. The grid search algorithm efficiently determines the shape parameter of this distribution, with a calculated value of 111.92, suggesting a tendency towards a uniform distribution of the observed values. The convergence of the exponential distribution of carbon emission data to a uniform distribution indicates collective behavior in the consumption of natural resources. Forecasts for the years 2023 and 2035 are provided for the total greenhouse gas emissions in Türkiye. DOI: https://doi.org/10.53486/cike2024.16; UDC: 620.92:[504.05:551.588.74](560); JEL Classification: Q50, Q54, H54	en_US
dc.language.iso	en	en_US
dc.publisher	ASEM	en_US
dc.subject	economy	en_US
dc.subject	greenhouse gas emissions	en_US
dc.subject	energy	en_US
dc.subject	statistics	en_US
dc.subject	inference	en_US
dc.title	Forecasting and Distribution of the Greenhouse Gas Emissions of Türkiye	en_US
dc.type	Article	en_US