Download Environmental and Socio-Economic Linkages

IAOS/Scorus Conference on
“Official statistics and the environment:
approaches, issues, challenges and
linkages”
20 – 22 October 2010, Santiago, Chile
Invited Paper Session – Theme 4
“Environmental and Socio-Economic Linkages – Drivers, Impacts,
Adaptation and Instruments”
Organiser: Torstein Bye, Statistics Norway
Chair: Torstein Bye, Statistics Norway
Discussant: Robert Smith, Statistics Canada
Presentations
Sjoerd Schenau and Roel Delahaye, Statistics Netherlands
SEEA as a Framework for Assessing Policy Responses to Climate Change
Torstein Bye and Annegrete Bruvoll, Statistics Norway
Instruments and Statistics–the Response R in DPRI
Philip Kokic, Commonwealth Scientific and Industrial Research Organisation
Australia
The Vulnerability of Australian Rural Communities to Climate Risk
Rationale of the session
The DPSIR approach (i.e Driving forces, Pressure, Status, Impact and Response) is a
most commonly used framework for development of environmental statistics. Several
other frameworks also exist and the first paper in this session focus on the link between
a DPSIR system approach and the SEEA (System of Environmental Economic
Accounting) approach. This paper then nicely complements the papers in the invited
session theme 3.
In the DPSIR approach most countries have been focusing on the DPR chain or one or
two of the DPR elements, while the R element so far is less focused. However, the
response element is now getting an increasing attention due to the introduction of
several and more complex policy instruments to foster a more sustainable development
path. The second paper then focuses on statistical measurement of such policy
instruments within a DPSIR framework.
The third paper addresses the impact dimension of the DPSIR framework. On the impact
dimension vulnerability is a central aspect (for instance with respect to the threat of
ecosystems, or the threat of climate change etc). However, hazard/impact modeling not
taking into account flexibility and adaptation possibilities may misdirect policy
interventions (response). The paper reports on how a hazard/impact modeling may be
combined with holistic measures of adaptive capacity to better advice on proper
measures.