Is radiative forcing cointegrated with temperature? A further examination using a structural time series approach

Balcombe, K., Fraser, I. and Sharma, A. (2019) Is radiative forcing cointegrated with temperature? A further examination using a structural time series approach. Management of Environmental Quality: An International Journal. ISSN 1477-7835 doi: 10.1108/meq-12-2018-0214

Abstract/Summary

Purpose The purpose of this paper is to re-examine the long-run relationship between radiative forcing (including emissions of carbon dioxide, sulphur oxides, methane and solar radiation) and temperatures from a structural time series modelling perspective. The authors assess whether forcing measures are cointegrated with global temperatures using the structural time series approach. Design/methodology/approach A Bayesian approach is used to obtain estimates that represent the uncertainty regarding this relationship. The estimated structural time series model enables alternative model specifications to be consistently compared by evaluating model performance. Findings The results confirm that cointegration between radiative forcing and temperatures is consistent with the data. However, the results find less support for cointegration between forcing and temperature data than found previously. Research limitations/implications Given considerable debate within the literature relating to the “best” way to statistically model this relationship and explain results arising as well as model performance, there is uncertainty regarding our understanding of this relationship and resulting policy design and implementation. There is a need for further modelling and use of more data. Practical implications There is divergence of views as to how best to statistically capture, explain and model this relationship. Researchers should avoid being too strident in their claims about model performance and better appreciate the role of uncertainty. Originality/value The results of this study make a contribution to the literature by employing a theoretically motivated framework in which a number of plausible alternatives are considered in detail, as opposed to simply employing a standard cointegration framework.

Additional Information	** From Crossref via Jisc Publications Router ** Journal IDs: pissn 1477-7835 ** History: issued 21-06-2019; published_online 21-06-2019
Item Type	Article
URI	https://reading-clone.eprints-hosting.org/id/eprint/84644
Identification Number/DOI	10.1108/meq-12-2018-0214
Refereed	Yes
Divisions	Life Sciences > School of Agriculture, Policy and Development > Department of Agri-Food Economics & Marketing
Uncontrolled Keywords	General Biochemistry, Genetics and Molecular Biology, Management, Monitoring, Policy and Law
Additional Information	** From Crossref via Jisc Publications Router ** Journal IDs: pissn 1477-7835 ** History: issued 21-06-2019; published_online 21-06-2019
Publisher	Emerald
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