Stationarity and Long Range Dependence of Carbon Dioxide Emissions: Evidence for Disaggregated Data

Carlos Barros, Luis Gil-Alana and Fernando Pérez de Gracia ()

Environmental & Resource Economics, 2016, vol. 63, issue 1, 45-56

Abstract: This paper examines the stationarity of global carbon dioxide emissions and its components—gas, liquids, solids, cement production and gas flaring, as well as global per capita emissions—for a long span of data using long range dependence techniques. The empirical results suggest that the series are highly persistent with orders of integration which are above 1 in practically all cases. Disaggregating the data by components, cement production displays the highest persistence, and allowing for structural breaks, two breaks are detected (at 1830 and 1946) for the total series and solids, and one single break (at 1946) for gas, liquids and cement production. In general, higher orders of integration are detected after the break at World War II. Copyright Springer Science+Business Media Dordrecht 2016

Keywords: Carbon dioxide emissions; Long memory; Fractional integration; Stationarity; C32 (search for similar items in EconPapers)
Date: 2016
References: Add references at CitEc
Citations: View citations in EconPapers (14)

Downloads: (external link)
http://hdl.handle.net/10.1007/s10640-014-9835-3 (text/html)
Access to full text is restricted to subscribers.

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:kap:enreec:v:63:y:2016:i:1:p:45-56

Ordering information: This journal article can be ordered from
http://www.springer. ... al/journal/10640/PS2

DOI: 10.1007/s10640-014-9835-3

Access Statistics for this article

Environmental & Resource Economics is currently edited by Ian J. Bateman

More articles in Environmental & Resource Economics from Springer, European Association of Environmental and Resource Economists Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().