A tale of three cities: climate heterogeneity
María Dolores Gadea Rivas () and
Jesus Gonzalo
Additional contact information
María Dolores Gadea Rivas: University of Zaragoza
SERIEs: Journal of the Spanish Economic Association, 2022, vol. 13, issue 1, No 14, 475-511
Abstract:
Abstract Professor Dolado has developed much of his professional career in three cities: Zaragoza, Oxford and Madrid. This fact, together with the recent appearance of literature relating climate with human behavior, has inspired us to analyze a set of relevant climate change issues linked to these areas, particularly any possible heterogeneity. The novel methodology proposed in (Gadea Rivas and Gonzalo in J Econom 214:153–174, 2020a for analyzing a wide range of characteristics of the temperature distribution (converting them into time series objects), instead of focusing solely on the mean, allows us to carry out this analysis . Using this methodology, we can identify local warming patterns within the global warming phenomenon of different types and intensities. The results show that there is a clear warming process in the three areas. The two Spanish cities (Zaragoza and Madrid) have many similarities, but Oxford fits into a different type of warming category. The former are characterized by higher trends in the upper quantiles than in the lower, an increase in dispersion, acceleration and an “upper amplification” with respect to the mean. In Oxford, the type of climate change is different, displaying higher trends in the lower quantiles, a weak negative trend in dispersion, “lower amplification” and a more attenuated acceleration in recent decades. There is no doubt that a better knowledge of local warming heterogeneity is recommendable for the design of more effective mitigation policies. The influence of the climate on human behavior and, specifically, on Professor Dolado’s personality, takes us into lesser-known regions which are left for the reader to discern.
Keywords: Climate change; Global Warming; Local Warming; Functional stochastic processes; Distributional characteristics; Trends; Quantiles; Temperature distributions (search for similar items in EconPapers)
JEL-codes: C31 C32 Q54 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://link.springer.com/10.1007/s13209-021-00254-4 Abstract (text/html)
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:spr:series:v:13:y:2022:i:1:d:10.1007_s13209-021-00254-4
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/13209
DOI: 10.1007/s13209-021-00254-4
Access Statistics for this article
SERIEs: Journal of the Spanish Economic Association is currently edited by Nezih Guner
More articles in SERIEs: Journal of the Spanish Economic Association from Springer, Spanish Economic Association Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().