Federal Statistical Office of Germany User-Producer Dialog SEEA-Water Voorburg 22. – 24. 05. 2006 Walter RADERMACHER Federal Statistical Office of Germany © Federal Statistical Office of Germany, Walter Radermacher Federal Statistical Office of Germany The Vision policy relevance SDI interlinkages underlying Accounting causes SNA, EEA, SEA Basic data politicians statisticians/ scientists/ accountants modelers Example: Germany EEA press conference 2004 © Federal Statistical Office of Germany, Walter Radermacher formulation of measures Federal Statistical Office of Germany The modules of the German Environmental-Economic Accounting Pressure State Physical flow accounts Physical stock accounts Economy wide material flow accounts Energy accounts by economic branches Primary material flow accounts by economic branches Air-emission accounts by economic branches Water accounts by economic branches Physical input-output tables Regional physical flow accounts Settlement and traffic area by economic branches Use-intensity of agricultural eco-systems Sectoral reporting modules Transport and environment Agriculture and environment Forest and environment Private households and environment © Federal Statistical Office of Germany, Walter Radermacher Response Environmentally relevant stocks and flows Environmental protection expenditures Environment related taxes Federal Statistical Office of Germany German EEA and the national strategy for sustainable development • Sustainable development requires a holistic approach: Co-ordination of sector policies, simultaneous achievement of conflicting goals, interlinkages between indicators and subjects have to be observed. • Indicator set for sustainable development: Indicators are a communication tool (problem description, performance control). The integrated analysis (diagnosis, forecasting, policy formulation) requires an underlying detailed and integrated database. • Expanded accounting data set: The national accounts and its satellite systems (environmental economic and socio-economic accounts) are the ideal framework to meet the data requirements for an integrated analysis. • Data supply for Germany: A considerable proportion of the indicators for sustainable development is already embedded into the accounting data set (NAMEA-type breakdown is a central common classification) © Federal Statistical Office of Germany, Walter Radermacher Federal Statistical Office of Germany German sustainability indicator list: Theme A: Inter-generational justice 1 Topic: Protection of resources; Indicator: Productivity of energy and raw materials 2 Climate change: Emissions of greenhouse gases 3 Renewable energy: The proportion of renewable energy sources in overall energy consumption 4 Land use: Increase in land use for housing and transport 5 Biodiversity: Development of stocks of specified animal species 6 Public debts: Balance of public sector financing 7 Economic future investments: Private- and public-sector expenditure on research and development 8 Innovation: Capital-outlay ratio 9 Education: Educational outcomes for 25-year-olds and number of new students © Federal Statistical Office of Germany, Walter Radermacher Federal Statistical Office of Germany German sustainability indicator list: Theme B: Quality of Life 10 Welfare: Gross domestic product 11 Mobility: Transport intensity and share of the railways in providing transport 12 Nutrition: Proportion of ecological agriculture and general statement on nitrogen surplus 13 Air quality: Air pollution 14 Public Health: Satisfaction with health 15 Crime rate: Number of burglaries © Federal Statistical Office of Germany, Walter Radermacher Federal Statistical Office of Germany German sustainability indicator list: Theme C: Social coherence 16 Occupation: Labour force participation rate 17 Family conditions: Full time children care facilities 18 Equity (equal rights): Relationship between male and female gross annual earnings 19 Integration of immigrants: Number of foreign school-leavers who have not completed secondary school Theme D: International responsibility 20 Global partnership: 21 Opening markets: Expenditure on development collaboration EU imports from developing countries 21 © Federal Statistical Office of Germany, Walter Radermacher Federal Statistical Office of Germany Embedding of the German sustainability indicators into the accounting data set 7 20 21 National Accounts 6 8 10 1 11 2 4 13 14 9 3 5 16 12 15 17 18 19 Environmental Economic Accounts Socio-economic Accounts © Federal Statistical Office of Germany, Walter Radermacher 1 Productivity of energy and raw materials 2 Emissions of greenhouse gases 3 The proportion of renewable energy sources in overall energy consumption 4 Increase in land use for housing and transport 5 Development of stocks of specified animal species 6 Balance of public sector financing 7 Private- and public-sector expenditure on research and development 8 Capital-outlay ratio 9 Educational outcomes for 25-year-olds and number of new students 10 Gross domestic product 11 Transport intensity and share of the railways in providing transport 12 Proportion of ecological agriculture and general statement on nitrogen surplus 13 Air pollution 14 Satisfaction with health 15 Number of burglaries 16 Labour force participation rate 17 Full time children care facilities 18 Relationship between male and female gross annual earnings 19 Number of foreign school-leavers who have not completed secondary school 20 Expenditure on development collaboration 21 EU imports from developing countries Federal Statistical Office of Germany Available German EEA data in a NAMEA-type breakdown Part of the sustainable development indicator set Unit Primary material by aggregated categories of material Tonnes Abstraction of water from nature and water flows within the economy m Primary energy consumption (total and emission relevant) Terajoule Air emissions Greenhouse gases by type Air pollution by type Waste water and other discharge of water into nature Tonnes Tonnes Tonnes Waste by waste categories Land use for housing and transport by land use categories 3 3 m Tonnes 2 km Figures on the transport sector by mode of transport Transport related energy consumption, fuel consumption, air emissions Terajoule Tonnes Kilometres driven, person kilometres, tonnes kilometres km Transport related environmental taxes by type Euro Number and Euro Stock of vehicles by type © Federal Statistical Office of Germany, Walter Radermacher Federal Statistical Office of Germany German sustainability indicators: business-as-usual forecast Indicator Unit 1999=100 Intensity of passenger transport 1999=100 Intensity of goods transport Share of rail transport to total goods transport in % performance 1990=100 Energy-productivity 1990=100 Green house gas emissions 1990=100 Air pollution hectare per Increase of the settlement and traffic area day Euro Gross domestic product per capita in % Employment ratio Increase of budget deficit in % of GDP in % of GDP Capital formation ratio 1991 2010 2020 102.9 90.6 94.7 99.8 84.9 102.8 77.1 106.4 20.0 104.6 95.6 85.7 15.1 122.5 81.2 50.2 13.3 137.7 78.8 44.5 11.6 170.5 78.1 38.9 119.7 21312 65.8 129.2 23943 65.5 93.4 27034 67.2 81.5 32010 73.2 3.0 23.8 -1.3 21.7 3.3 17.3 2.7 15.6 Source: Gesellschaft für Wirtschahftliche Strukturforschung – GWS-Osnabrück © Federal Statistical Office of Germany, Walter Radermacher 2000 Federal Statistical Office of Germany Durchschnittliche jährliche Veränderung von verkehrsbezogenen Indikatoren der Nachhaltigkeitsstrategie - Soll1) - Ist2) - Vergleich Personenbeförderungsintensität 1999 = 100 -1,5 Ist: 2000 - 2003 -0,6 -2,0 -1,5 -1,0 Soll: 2003 - 2020 0 -0,5 Güterbeförderungsintensität 1999 = 100 Ist: 2000 - 2004 1,6 Soll: 2004 - 2020 -0,7 -2 -1 0 1 2 Anteil des Schienenverkehrs an der Güterbeförderungsleistung % Ist: 2000 - 2004 0,1 Soll: 2004 - 2015 0,8 0 0,2 0,4 0,6 0,8 1,0 Anteil der Binnenschifffahrt an der Güterbeförderungsleistung % Ist: 2000 - 2004 -0,4 Soll: 2004 - 2015 -1,0 0,2 -0,5 0 0,5 1) Soll: notwendige jährliche Veränderung für die Erreichung des Ziels. 2) Ist: durchschnittliche jährliche Veränderung in der Vergangenheit. © Federal Statistical Office of Germany, Walter Radermacher 1,0 Statistisches Bundesamt Umweltökonomische Gesamtrechnungen 2005 Federal Statistical Office of Germany Durchschnittliche jährliche Veränderung von Indikatoren zum Einsatz von Umweltressourcen - Soll1) - Ist2) - Vergleich Treibhausgasemissionen Index (Basiswert = 100) Ist: 1990 - 2003 -1,4 0,2 Ist: 2002 - 2003 Soll: 2003 - 2010 -0,4 -2,0 0 -1,0 1,0 Luftschadstoffemissionen Gemittelter Index (1990 = 100) Ist: 1990 - 2003 -4,1 -1 Ist: 2002 - 2003 -2,3 -4 Soll: 2003 - 2010 0 -2 Anteil erneuerbarer Energien am Primärenergieverbrauch % Ist: 2000 - 2004 Ist: 2003 - 2004 Soll: 2004 - 2010 0,3 0,3 0,1 0 0,1 0,2 0,3 0,4 0,5 Anteil erneuerbarer Energien am Stromverbrauch % Ist: 2000 - 2004 Ist: 2003 - 2004 Soll: 2004 - 2010 0,7 1,3 0,5 0 0,5 1,0 1,5 Zunahme der Siedlungs- und Verkehrsfläche Hektar pro Tag Ist: 1993 - 2003 -2,7 -12 Ist: 2002 - 2003 -3,7 -15 -10 -5 Soll: 2003 - 2020 0 Energieproduktivität Index (1990=100) Ist: 1990 - 2004 Ist: 2003 - 2004 Soll: 2004 - 2020 2,0 1,1 4,5 0 1 2 3 4 5 Rohstoffproduktivität Index (1994=100) Ist: 1994 - 2004 Ist: 2003 - 2004 Soll: 2004 - 2020 2,9 2,0 4,4 0 © Federal Statistical Office of Germany, Walter Radermacher 1) Soll: notwendige jährliche Veränderung für die Erreichung des Ziels. 2) Ist: durchschnittliche jährliche Veränderung in der Vergangenheit. 1 2 3 4 5 Statistisches Bundesamt Umweltökonomische Gesamtrechnungen 2005 Federal Statistical Office of Germany Thank you for your attention! Walter Radermacher Telefon: +49 (0)611 / 75 22 00 walter.radermacher@destatis.de www.destatis.de © Federal Statistical Office of Germany, Walter Radermacher Federal Statistical Office of Germany Environmental-economic modeling: Simulation of the effect of doubling the road toll for heavy goods vehicles 2010 2020 Intensity of goods transport (1999=100) -3.3 -3.6 Share of rail transport to total goods transport performance (%) 1.6 1.8 CO2-emissions (million tons) -2.7 -2.9 GDP per capita (Euro 1995) 16.0 34.0 1.0 28.0 Employment (1000) Source: Gesellschaft für wirtschaftliche Strukturforschung © Federal Statistical Office of Germany, Walter Radermacher