Reducing the variation of environmental footprint estimates based on multiregional input-output databases

Publicatie

The concept of environmental footprints emerged at the beginning of the 1990’s through the introduction of the “ecological footprint”. In later years, carbon, water, material, land footprints and even footprints for “biodiversity threats” were developed. Footprint estimates are increasingly based on multiregional input-output (MRIO) databases, which aim to describe and quantify the structure of the world economy.

Footprint estimates from various MRIO databases sometimes show significant variation. As a result, conclusions about the absolute levels or trends of a footprint may be inconsistent. The sources of these variations are attributable to three phases in the footprint calculations: differences in data preparation, MRIO database construction and footprint calculation. Given that these steps include the work of the statistical community as well as academia, efforts from both disciplines will be required to help convergence in estimates.

Reducing the variation in footprint estimates is a major challenge. This paper aims to contribute to this convergence in three ways. First, this paper provides the first overview of footprint work at statistical offices, government agencies and international organisations. Second, a detailed analysis of the sources of the variation in estimates is provided. Thirdly, strategies are discussed that might help to reduce variation between footprint estimates.

Auteurs

Rutger Hoekstra, Bram Edens, Daan Zult, Harry Wilting

Kenmerken

Publicatietitel
Reducing the variation of environmental footprint estimates based on multiregional input-output databases
Publicatiedatum
25 Juli 2014
Publicatie type
Publicatie
Tijdschrift
Sustainability Accounting, Management and Policy Journal
Productnummer
1511