Abstract
This study was aimed at providing a comprehensive environmental analysis of Germany from 1990 to 2015. First, an ecological footprint analysis of the country was conducted using bio-capacity and ecological footprint data. Second, possible decoupling of the country’s economic growth and carbon dioxide (CO2) emissions was examined using the decoupling factor adopted by the Organization for Economic Co-operation and Development (OECD). Third, the factors affecting aggregated and sector (electricity and heat production) emission changes were identified using the Logarithmic Mean Divisia Index (LMDI) method. The empirical findings revealed that Germany experienced a slowly decreasing ecological deficit over the entire period. The decoupling-factor calculations showed absolute decoupling of the country’s real GDP and CO2 emissions. Based on the LMDI calculations, per capita income and population had increasing impacts on aggregated emissions, whereas energy intensity and carbon intensity curbed them substantially. For electricity and heat production, economic activity was the only CO2-accelerating factor observed in the study period. In addition, the fuel structure effect, pollution effect, and electricity intensity considerably reduced the emissions of electricity and heat production. It, therefore, is possible to conclude that Germany is an impressive example of environmental sustainability for other nations.
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References
Ang BW (2005) The LMDI approach to decomposition analysis: a practical guide. Energy Policy 33:867–871
Ang BW (2015) LMDI decomposition approach: a guide for implementation. Energy Policy 36:233–238
Ang BW, Liu FL (2001) A new energy decomposition method: perfect in decomposition and consistent in aggregation. Energy 26:537–547
Bagliani M, Galli A, Niccolucci V, Marchettini N (2008) Ecological footprint analysis applied to a sub-national area: the case of the province of Siena (Italy). J Environ Manag 86:354–364
Daly HE (1990) Toward some operational principles of sustainable development. Ecol Econ 2:1–6
Earth System Research Laboratory (2018) Global monitoring system. Trends in atmospheric carbon dioxide. Retrieved from https://www.esrl.noaa.gov/gmd/ccgg/trends/. Access date: August 2018
Freitas LC, Kaneko S (2011) Decomposing the decoupling of CO2 emissions and economic growth in Brazil. Ecol Econ 70:1459–1469
Global Footprint Network (2017) Advancing the science of sustainability. Ecological footprints and reserves. Retrieved from https://www.footprintnetwork.org/. Access date: October 2017
Hatzigeorgiou E, Polatidis H, Haralambopoulos D (2008) CO2 emissions in Greece for 1990–2002: a decomposition analysis and comparison of results using the arithmetic mean Divisia index and logarithmic mean Divisia index techniques. Energy 33:492–499
Kwon TH (2005) Decomposition of factors determining the trend of CO2 emissions from car travel in Great Britain (1970–2000). Ecol Econ 53:261–275
Lise W (2006) Decomposition of CO2 emissions over 1980–2003 in Turkey. Energy Policy 34:1841–1852
Lopez NS, Sumabat AK, Yu KD, Hao H, Li R, Geng Y, Chiu ASF (2016) Decomposition analysis of Philippine CO2 emissions from fuel combustion and electricity generation. Appl Energy 164:795–804
Mahony TO, Zhou P (2012) The driving forces of change in energy-related CO2 emissions in Ireland: a multi-sectoral decomposition from 1990 to 2007. Energy Policy 44:256–267
Organization for Economic Co-operation and Development (2002) The OECD environment program. Retrieved from https://www.oecd.org/env/indicators-modelling-outlooks/1933638.pdf. Accessed October 2017
Papagiannaki K, Diakoulaki D (2009) Decomposition analysis of CO2 emissions from passenger cars: the case of Greece and Denmark. Energy Policy 37:3259–3267
Pardo CS, Perez SM, Morales GR (2012) Decomposition of energy consumption and CO2 emissions in Mexican manufacturing industries: trends between 1990 and 2008. Energy Sustain Dev 16:57–67
Paul S, Bhattacharya RN (2004) CO2 emission from energy use in India: a decomposition analysis. Energy Policy 32:585–593
Renn O, Marshall JP (2016) Coal, nuclear and renewable energy policies in Germany: from the 1950s to the “energiewende”. Energy Policy 99:224–232
Rodriguez BS, Drummond P, Ekins P (2017) Decarbonizing the EU energy system by 2050: an important role for BEECS. Clim Pol 17:93–110
Rugani B, Roviani D, Hild P, Schmitt B, Benetto E (2014) Ecological deficit and use of natural capital in Luxembourg from 1995 to 2009. Sci Total Environ 468–469:292–301
Rüstemoğlu H (2016) Ekonomik büyümenin çevresel maliyeti: Türkiye ve İran ölçeğinde CO2 emisyonlarinin belirleyicileri (environmental cost of economic growth: the determinants of CO2 emissions in Iran and Turkey). ITOBIAD 5:2151–2168
Rüstemoğlu H, Rodriguez A (2016) Determinants of CO2 emissions in Brazil and Russia between 1992 and 2011: a decomposition analysis. Environ Sci Pol 58:95–106
Timilsina GR, Shrestha A (2009) Factors affecting transport sector CO2 emissions growth in Latin American and Caribbean countries: an LMDI decomposition analysis. Int J Energy Res 33:396–414
United Nations Framework Convention on Climate Change (2017) Greenhouse gas inventory data. Retrieved from http://unfccc.int/ghg_data/items/3800.php. Access date: October 2017
United States Energy Information Administration (2015) Germany’s key energy statistics. Retrieved from https://www.eia.gov/beta/international/country.php?iso=DEU. Access date: October 2017
United States Environmental Protection Agency (2017) Air topics. Retrieved from https://www.epa.gov/environmental-topics/air-topics. Access date: August 2018
Wackernagel M, Kitzes J, Moran D, Goldfinger S, Thomas M (2006) The ecological footprint of cities and regions: comparing resource availability with resource demand. Environ Urban 18:103–112
Wei YM, Liu LC, Fan Y, Wu G (2007) Using LMDI method to analyze the change of China’s industrial CO2 emissions from final fuel use: an empirical analysis. Energy Policy 35:5892–5900
World Bank (2017) World development indicators. Retrieved from http://databank.worldbank.org/data/home.aspx. Access date: October 2017
Yoo SH, Lim HJ, Kwak SJ (2009) Industrial CO2 emissions from energy use in Korea: a structural decomposition analysis. Energy Policy 37:686–698
Zhang YJ, Da YB (2015) The decomposition of energy-related carbon emissions and its decoupling with economic growth in China. Renew Sust Energ Rev 41:1255–1266
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Appendix
Appendix
The data utilized for this study were collected from various databases. The annual bio-capacity and ecological footprint data for 1990–2013 were sourced from the GFN (2017), as presented in Table 6.
The decoupling factor calculations required Germany’s data on real GDP and CO2 emissions. For this study, real GDP data were sourced from World Bank’s (2017) World Development Indicators, and CO2 emission data from the UNFCCC (2017). The data covered 1990–2015, as shown in Table 7.
In addition to real GDP and CO2 emission data, the aggregated and sector decomposition analyses required annual data on population, energy use, sector CO2 emissions, and total and fossil-based electricity production. The annual data covered 1990–2015, as presented in Table 8.
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Rüstemoğlu, H. Factors affecting Germany’s green development over 1990–2015: a comprehensive environmental analysis. Environ Sci Pollut Res 26, 6636–6651 (2019). https://doi.org/10.1007/s11356-019-04132-2
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DOI: https://doi.org/10.1007/s11356-019-04132-2