Transcript Gender-specific environmental behaviour in Austria

United Nations Economic Commission for Europe
Statistical Division
Measuring environment and
climate change from a gender
perspective
Where to start?
Gender Statistics Work Session
Geneva, April 2010
Objectives:
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Point out the main stakeholders
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Attempt to categorise different exploratory areas in the
research
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Present key activities and publications in UNECE region
and beyond on interface between gender and
environment & climate change
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Introduce papers
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Discussion on measurable areas relative to gender and
feedback for UNECE future work
April 2010
UNECE Statistical Division
Slide 2
Main Stakeholders
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People
Private sector – industry, business leadership
Public sector – NSOs, policy-makers
Universities – research
NGOs, lobby groups
UN agencies
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April 2010
FAO
UNCTAD
UNDP
UNEP
UNECE
UNSD
Regional Commissions (ECE, ESCAP, ESCWA, ECLAC, ECA)
UNECE Statistical Division
Slide 3
Conceptual Map
People (Gender)
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7 Recycling,
Renewables +
Alternatives
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Infrastructure
April 2010
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Resources
UNECE Statistical Division
Slide 4
Examples
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1. Impact of pollution (Health)
2. Access to amenities (MDG7)
3. Institutional use/distribution of natural resources
(mining), policy (treaties)
4. Environmental protection (NGOs, lobby groups)
5. Individual access to natural resources (i.e. food)
6. Agriculture
7. Recycling actions
8. Sustainability and climate change
9. Impact of Environment initiatives (research,
evaluation)
April 2010
UNECE Statistical Division
Slide 5
Sources of information
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1. http://www.independent.co.uk/news/science/its-official-men-really-are-the-weaker-sex-1055688.html
2. http://www.escwa.un.org/divisions/scu/GenderMDG/index.asp
http://www.eclac.org/mdg/goal_7_en.html
3. http://unfccc.int/meetings/cop_15/items/5257.php
4. http://www.ejfoundation.org/ http://unstats.un.org/unsd/environment/default.htm
5. http://www.fao.org/spfs/en/
6. http://agriculture.einnews.com/russia-cis/
7. http://www.defra.gov.uk/evidence/statistics/environment/pubatt/index.htm
http://www.statistik.at/web_en/statistics/energy_environment/environment/environmental_conditions_and
_behaviour/index.html
http://ec.europa.eu/public_opinion/archives/ebs/ebs_322_en.pdf
8. http://www.unece.org/stats/publications/Measuring_sustainable_development.pdf
http://epp.eurostat.ec.europa.eu/cache/ITY_OFFPUB/KS-78-09-865/EN/KS-78-09-865-EN.PDF
http://koensforskning.soc.ku.dk/konferencer/climate/
http://www.un.org/womenwatch/downloads/Resource_Guide_English_FINAL.pdf
9. http://www.polsoz.fu-berlin.de/en/polwiss/forschung/systeme/ffu/
http://www.oecdbookshop.org/oecd/results.asp?CID=&LANG=EN&SF1=SeriesIdentifier&ST1=ser00141p1&SORT=sort_date/d&DS=OECD%20Environmental%20Performance%20Reviews
Cross-cutting: http://www.undp.org/energyandenvironment/gender.htm
April 2010
UNECE Statistical Division
Slide 6
SESSION III: Emerging issues in gender
statistics: (continued)
Sub-session D. Environment and climate change
from a gender perspective
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Invited paper:
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“Gender and Environment Statistics”, Gerry Brady & Helen
Cahill, CSO, Ireland
Supporting papers:
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“Gender-specific environmental behaviour in Austria:
Environmental conditions and behaviour - Micro-census
2007”, Alexandra Wegscheider-Pichler, Statistics Austria
“A Gender Analysis on Food Security Statistics from
National Household Income and Expenditures Surveys
(NHIES)”, Seevalingum Ramasawmy, FAO
April 2010
UNECE Statistical Division
Slide 7
Gender-specific
environmental behaviour in Austria:
Environmental conditions and behaviour 
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Micro-census 2007
Ecological buying behaviours of men and women
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Organic and energy efficient products
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Different gender patterns but it is not possible to discern whether these
are due to different gender roles, different personal interests
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Looked at single person households to try and eliminate “underlying”
gender effects from hard behavioural differences – surprising results
Recycling/waste sorting
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No major differences in behaviour
Transport (public/private)
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Some striking differences, as IE paper also suggested
April 2010
UNECE Statistical Division
Slide 8
Reflections
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Statistical challenges - Difficult to separate out:
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Purchasers and consumers (ie mums buy, kids eat)
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Decision chain between Intentions and Behaviour
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Gender also embedded in aspects not directly
related to people (cf link between infrastructure & resources)
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Poverty / wealth economic transition all play an
important part in individual behaviours
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Not there yet on many levels, but on its way…
April 2010
UNECE Statistical Division
Slide 9