Using Ecosystem Accounting to Integrate the Environment in Measures of Multifactor Productivity

Carl Obst ()

International Productivity Monitor, 2024, vol. 47, 87-108

Abstract: There is increasing recognition of the relevance of integrating environmental considerations within standard macroeconomic measures including GDP and national wealth and, by extension to measures of multifactor productivity (MFP). A range of approaches to measuring environmentally adjusted MFP (EAMFP) have been developed over the past decade which variously adjust the measure of output or recognize explicitly natural capital inputs. This article summarizes the main approaches to EAMFP and discusses their merits from a national accounting principles perspective, identifying some concerns on potential double counting of environmental contributions and effects. It then considers the potential of ecosystem accounting as described in the System of Environmental-Economic Accounting (SEEA) Ecosystem Accounting to offer an alternative framing for integrating the environment into economy-wide MFP measures.

Keywords: Climate Change; Productivity; Multifactor; Ecosystem; Environment; Accounting (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.csls.ca/ipm/47/Obst_final.pdf (application/pdf)

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:sls:ipmsls:v:47:y:2024:5

Ordering information: This journal article can be ordered from
http://www.csls.ca

Access Statistics for this article

International Productivity Monitor is currently edited by Andrew Sharpe, Executive Director

More articles in International Productivity Monitor from Centre for the Study of Living Standards 170 Laurier Ave. W, Suite 604, Ottawa, ON K1P 5V5. Contact information at EDIRC.
Bibliographic data for series maintained by CSLS ( this e-mail address is bad, please contact ).