Investigating patterns of carbon convergence in an uneven economy: the case of Turkey
| Autor: | Sevil Acar, A. Erinc Yeldan |
|---|---|
| Přispěvatelé: | Yeldan, A. Erinç, Acar, Sevil |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Economics and Econometrics
Emission intensity Turkey 020209 energy Conditional convergence Sectoral emissions 02 engineering and technology Climate policy 0202 electrical engineering electronic engineering information engineering Econometrics Business cycle Economics Volatility (finance) Carbon convergence Panel data |
| Zdroj: | Structural Change and Economic Dynamics |
| Popis: | Acar, Sevil/0000-0001-5535-8673; Acar, Sevil/0000-0001-5535-8673; Yeldan, A. Erinc/0000-0002-3123-4374 WOS:000447115000010 Turkey is known to suffer from severe volatility in its growth patterns, as well as from the uneven sectoral growth and employment. Volatile rates of emissions across sectors are further manifestations of this uneven structure. The purpose of this study is two-fold: first, we check for dynamic patterns of convergence of carbon dioxide (CO2) emissions across sectors; and second, using evidence from panel data econometrics, we search for the determinants of these processes utilizing macroeconomic explanatory variables. We find that, based on various alternate criteria, CO2 emissions display conditional convergence mainly driven by the business cycle. Furthermore, across sectors, high technology activities display convergence over time; and yet, medium technology sectors that constitute the bulk of the aggregate value added display either poorly convergent or divergent trends. These results reveal that much of the emissions convergence is driven by the business cycle rather than the workings of discretionary mitigation policy. (C) 2018 Elsevier B.V. All rights reserved. TUBITAKTurkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [114K941] The authors gratefully acknowledge the research support provided by TUBITAK, under grant no 114K941. A previous version of the paper was presented at the Middle East Economic Association (MEEA) meetings in conjunction with the ASSA Conference, San Francisco, in January 2016. We are grateful to Mine Cinar and the participants of the MEEA for their invaluable comments and to Yasin Kutuk for his invaluable assistance with the econometric analysis. Needles to state, none of them bears any responsibility for the results and views expressed in the paper. |
| Databáze: | OpenAIRE |
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