Transcript Definition of Scope of CC related statistics

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Session 2:
Climate change related statistics
(other than those related to GHG inventories)
Second Meeting on Climate Change Related Statistics
For Producers and Users
8-9 October 2013
UNECE Geneva, Switzerland
Dr. Julie L. Hass (email: [email protected])
Division for Development Cooperation
Statistics Norway
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Definition of Scope of CC related statistics
Include environmental, social and economic data
that measure…
• Greenhouse gas emissions
• Drivers: human caused sources and causes of emissions
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Definition of Scope of CC related statistics
• Mitigation: efforts of humans to avoid
the consequences
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Definition of Scope of CC related statistics
• Adaptation: efforts to adapt to these consequences
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Consider what will be needed in the
future…
Impacts
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Scope of CC related statistics
• Impacts: on human and natural systems
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Health statistics
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Re-occurrence of diseases no
longer in Europe (malaria)
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New diseases
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Changes in current trends
“Extreme events”
(heat waves, storms, etc.)
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Water
… or the lack of it
And resulting land use
land cover changes,
and soil degradation.
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Crop production patterns
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Jobs…
“Green Jobs”
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Population / Demographics / Migration
Types of “households”
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Currently:
Future:
Production perspective
Consumption perspective
Objective: The consumer’s responsibility for emissions
Example: “CO2 neutral travel”
Pieces of the puzzle:
National accounts
Input – output tables
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Environmental Accounts
CO2 CONTENT OF GERMAN IMPORTS AND EXPORTS 2000 – 2008
https://www.destatis.de/EN/Publications/Specialized/EnvironmentalEconomicAccounting/ImExResultsPDF_5850018.pdf?__blob=publicationFile
T-shirts, jeans and blouses: there’s a lot of water in our clothes
https://www.destatis.de/EN/Publications/STATmagazin/Environment/2013_06/UGR2013_06.html
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“Eco-Industries”
Environmental Goods and Services
• Current classifications - goods and services,
employment, consumption - make these things difficult
to find
– Need to consider making these easier to identify by revising
classifications?
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Challenges
• Need to be able to connect/combine different data sets
Physical flow accounts – combined (NAMEA-type)
see SEEA – CF 2012
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How to connect other data sets?
Is this the role of the NSOs?
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Georeferenced data / mapping
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Recommendations on CC related statistics
4. NSOs must improve the contribution of official statistics to
climate change analysis – facilitate access to the existing
information.
• Bring together and disseminate CC related statistics
• Cooperate with scientific organizations in the dissemination
• Facilitate access to microdata
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Recommendations on CC related statistics
5. The usefulness of the existing environmental, social and
economic statistics for climate change analysis should be
improved.
• Review statistical programs and data collections from the
view of the data needs for climate change analysis – can the
data be used for measuring CC related issues
• Lack of coherence among data sets and difficulties in
matching data from different statistical domains. Link socioeconomic data sets with climate observations.
• Geo-referencing all relevant data – for spatial analysis
• New geographical areas – not only administrative areas
• Provide detailed data for analysis – food production, water
use, health and diseases, tourism, population, pop. growth
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Recommendations on CC related statistics
6. NSOs should review the key data needs of climate policy
makers and analysts in their country and consider
development of new statistics.
• To analyze drivers, develop economic information to climate
change related issues, such as environmental economic
(SEEA) accounts.
• Contribute to efforts to monitor biodiversity and ecosystems
• Develop data on the use of economic instruments in
mitigation efforts – carbon taxes, tradable permits, subsidies
• Develop statistics and indicators for adaptation and
adaptive capacity – resilience, risks and vulnerability of
population groups and preparedness to withstand adverse
impacts of CC
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We need to
work on
connecting
the dots!
Climate
Change
Official
Statistics
Revised from original
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