United Nations Economic Commission for Europe Statistical Division

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: v v v Point out the main stakeholders Attempt to categorise different exploratory areas in the research Present key activities and publications in UNECE region and beyond on interface between gender and environment & climate change Introduce papers Discussion on measurable areas relative to gender and feedback for UNECE future work April 2010 UNECE Statistical Division Slide 2

Main Stakeholders v v v People Private sector – industry, business leadership Public sector – NSOs, policy-makers Universities – research NGOs, lobby groups UN agencies • • April 2010 FAO UNCTAD UNDP UNECE UNSD Regional Commissions (ECE, ESCAP, ESCWA, ECLAC, ECA) UNECE Statistical Division Slide 3

Conceptual Map People (Gender) 1 6 2 5 7 Recycling, Renewables + Alternatives 9 8 Infrastructure April 2010 3 4 Resources UNECE Statistical Division Slide 4

Examples v v v v v 1. Impact of pollution (Health) 2. Access to amenities (MDG 7) 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 v v v v 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/Gender. MDG/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/environmental_conditions_and _behaviour/index. html http: //ec. europa. eu/public_opinion/archives/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&SF 1=Series. Identifier&ST 1=ser 00141 p 1&SORT=sort_date/d&DS=OECD%20 Environmental%20 Performance%20 Reviews 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 v Invited paper: • v “Gender and Environment Statistics”, Gerry Brady & Helen Cahill, CSO, Ireland Supporting papers: “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 v Micro-census 2007 Ecological buying behaviours of men and women • • Different gender patterns but it is not possible to discern whether these are due to different gender roles, different personal interests • v Organic and energy efficient products Looked at single person households to try and eliminate “underlying” gender effects from hard behavioural differences – surprising results Recycling/waste sorting • v No major differences in behaviour Transport (public/private) • Some striking differences, as IE paper also suggested April 2010 UNECE Statistical Division Slide 8

Reflections v Statistical challenges - Difficult to separate out: • • v v v Purchasers and consumers (ie mums buy, kids eat) Decision chain between Intentions and Behaviour Gender also embedded in aspects not directly related to people (cf link between infrastructure & resources) Poverty / wealth economic transition all play an important part in individual behaviours Not there yet on many levels, but on its way… April 2010 UNECE Statistical Division Slide 9