Economics at your fingertips  

A Conceptual Model of the Relationship Among World Economy and Climate Indicators

Boris M. Dolgonosov ()

Biophysical Economics and Resource Quality, 2018, vol. 3, issue 1, 1-15

Abstract: Abstract The work is aimed at developing a conceptual model of the relationship among global indicators such as world population, GDP, primary energy consumption, anthropogenic carbon dioxide emissions, and mean surface temperature anomaly. The world economy is viewed from three perspectives as (1) a manufacturing system that consumes energy and returns a product; (2) a climate-active system that shifts the planetary thermal equilibrium due to greenhouse gas emissions; and (3) a resource-distributed system in which the generalized resource is distributed among consumers of different scale and can be equivalently expressed in both monetary and energy units. It was established that dependencies between the indicators are power law: temperature anomaly increases proportionally to cumulative energy consumption, GDP grows in proportion to the product of current and cumulative energy consumption raised to a power of less than unity, and energy consumption in turn is a power-law function of population with the exponent being expressed through the Gini coefficient, which is a measure of the inequality in income distribution on a global scale. Parameters of these dependencies were determined using a special procedure of fitting to empirical data. It was found that energy consumption, temperature anomaly, and GDP grow over the industrial period in proportion to population raised to a power close to 1.5, 1.8, and 2, respectively.

Keywords: World population; Energy consumption; Temperature anomaly; Power laws; Resource distribution; Gini coefficient (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2) Track citations by RSS feed

Downloads: (external link) Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:

Ordering information: This journal article can be ordered from

DOI: 10.1007/s41247-018-0037-4

Access Statistics for this article

Biophysical Economics and Resource Quality is currently edited by C.A.S. Hall and U. Bardi

More articles in Biophysical Economics and Resource Quality from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

Page updated 2022-05-12
Handle: RePEc:spr:bioerq:v:3:y:2018:i:1:d:10.1007_s41247-018-0037-4