Resource efficiency and Geospatial data What EUROSTAT does. What could do.
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1 Resource efficiency and Geospatial data What EUROSTAT does. What could do. Pedro Díaz Muñoz Director Sectoral and Regional Statistics, Eurostat 29/06/2011
2 Statements - Large amount of information to understand resource efficiency - Regulation on environmental accounting facilitates production of indicators - Harmonised data sources enhance Analytical power - Geospatial information. An overview - How to marry Geospatial data and aggregated statistics 2
3 Statements - Large amount of information to understand resource efficiency - Regulation on environmental accounting facilitates production of indicators - Harmonised data sources enhance Analytical power - Geospatial information. An overview - How to marry Geospatial data and aggregated statistics 3
4 Overview of RE indicators from official statistics STATISTICS and ACCOUNTS Some INDICATORS LU/LC Energy Statistics Waste Statistics and other waste legislation (Waste Data centre) Chemicals Water Forestry Environmental Accounts EE SUIOT LU indicators Protected areas Energy efficiency CO2 early estimates Renewable energy Waste generation (activity/waste category) Waste Treatment (Recycling, incineration ) Municipal Waste generation and treatment Hazardous waste Production harmful / toxic chemicals Exploitation of water resources Wastewater treatment Forest surface Resource productivity DMC/RMC Environmental taxes / protection expenditure indicators Carbon footprint 4
5 The consumption of resources in the Eurostat monitoring report of the EU Sustainable Development Strategy Evaluation of changes in EU-27 since 2000 for sustainable consumption and production 29/06/2011
6 Statements - Large amount of information to understand resource efficiency - Regulation on environmental accounting facilitates production of indicators - Several data sources enhance Analytical power - Geospatial information. An overview - How to marry Geospatial data and aggregated statistics 6
7 DMC Definition domestic extraction used + imports in mass weight (kg) of traded product exports in mass weight (kg) of traded product = Domestic Material Consumption (DMC) Focusing on material extractions on the domestic territory Does not count hidden flows of raw materials extracted abroad and used to manufacture abroad products imported in the EU. 7
8 DMC and GDP growth rates in EU and countries between 2000 and 2007 and decoupling issues 12% In Romania DMC increased more than GDP (10% per year for DMC and 6% for GDP) 10% No decoupling RO EE Average annual growth rate of DMC (%) 8% 6% 4% 2% 0% -2% PT IT DE DK MT FR BE NL AT EU-27 UK ES CY FI SE HU GR PL LU SI CZ IE BG SK LT LV Relative decoupling Absolute decoupling In Latvia DMC increased less than GDP (5% per year for DMC and 9% for GDP) -4% 0% 1% 2% 3% 4% 5% 6% 7% 8% 9% 10% Average annual growth rate of GDP (%) In Luxembourg DMC decreased of 2% per year 8
9 RMC Definition Domestic extraction used + Imports in raw material equivalents Exports in raw material equivalents = Raw Material Consumption (RMC) (Where raw material equivalents = material extraction needed to produce traded good) => taking a global perspective! ESS already agreed to produce RMC First estimates for the EU already available 9
10 Statements - Large amount of information to understand resource efficiency - Regulation on environmental accounting facilitates production of indicators - Harmonised data sources enhance Analytical power - Geospatial information. An overview - How to marry Geospatial data and aggregated statistics 10
11 Domestic and global CO 2 -emissions production and consumption perspective, EU (tonnes per capita) 11
12 Statements - Large amount of information to understand resource efficiency - Regulation on environmental accounting facilitates production of indicators - Several data sources enhance Analytical power - Geospatial information. An overview - How to marry Geospatial data and aggregated statistics 12
13 Geo-spatial information. An overview Partners Inspire MS Services Inspire EU Services Data Suppliers ESS Data services End 2012 May 2011 Boundaries Topography Hydrography Transport GISCO available Population Lucas FSS Regional Processing Survey Methodology Harmonisation Small area estimation Modelling Disclosure control Analysis (sea routes, maritime service areas, Data presentation Map generation Superposition of data layers (demographic data/ environmental impact 13
14 Statements - Large amount of information to understand resource efficiency - Regulation on environmental accounting facilitates production of indicators - Several data sources enhance Analytical power - Geospatial information. An overview - How to marry Geospatial data and aggregated statistics 14
15 Marrying geospatial and statistical data Geospatial information and official statistics: Two separate worlds both in EU and MS Need for finding synergies to justify the activity. Some examples: - Geographical data as building block for statistical information (remote sensing data aggregated to obtain estimates of value of forests ) - Mixing geographical and statistical layers for display or analysing purposes (Maritime Service Areas) - Support for data collection (Census) 15
16 Conclusions - Large amount of information to understand resource efficiency - Regulation on environmental accounting facilitates production of indicators - Several data sources enhance Analytical power - Geospatial information. An overview - How to marry Geospatial data and aggregated statistics 16
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