An Analysis Of Co2 Emissions Of Turkish Industries And Energy Sector
AbstractOne of the prominent environmental problems arising within the past two decades is global warming, and hence the closely associated phenomenon of climate changes. In this context, the long run relationships and causalities among the industrial, cement and steel productions; power generation; oil consumption; and finally CO2 emissions in Turkey were investigated in this study by using a vector autoregression (VAR) testing approach for the period of 1990-2010. According to the empirical results, bidirectional Granger causality was inferred between CO2 emissions and the production of cement and electricity. In light of the results of the impulse-response analysis, the CO2 emissions were mostly affected by a shock given to industrial production, followed by cement production, power generation, oil consumption and steel production, in decreasing order of impact.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Bibliographic InfoArticle provided by Euro-American Association of Economic Development in its journal Regional and Sectoral Economic Studies.
Volume (Year): 12 (2012)
Issue (Month): 2 ()
Contact details of provider:
Web page: http://www.usc.es/economet/eaa.htm
Find related papers by JEL classification:
- Q01 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Sustainable Development
- Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
You can help add them by filling out this form.
reading list or among the top items on IDEAS.Access and download statisticsgeneral information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (M. Carmen Guisan).
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.