Study of the Eco-Economic Indicators by Means of the New Version of the MERGE Integrated Model. Part 1
DOI:
https://doi.org/10.17059/2015-4-27Keywords:
integrated assessment models, intertemporal optimization, scenarios of economic development, emission of greenhouse gasses, green GDPAbstract
One of the most relevant issues of the day is the forecasting problem of climatic changes and mitigation of their consequences. The official point of view reflected in the Climate doctrine of the Russian Federation consists in the recognition of the need of the development of the state approach to the climatic problems and related issues on the basis of the comprehensive scientific analysis of ecological, economic and social factors. For this purpose, the integrated assessment models of interdisciplinary character are applied. Their functionality is characterized by the possibility of construction and testing of various dynamic scenarios of complex systems. The main purposes of the computing experiments described in the article are a review of the consequences of hypothetical participation of Russia in initiatives for greenhouse gas reduction as the Kyoto Protocol and approbation of one of the calculation methods of the green GDP representing the efficiency of environmental management in the modeling. To implement the given goals, the MERGE optimization model is used, its classical version is intended for the quantitative estimation of the application results of nature protection strategies. The components of the model are the economic-energetic module, climatic module and the damage assessment module. In the work, the main attention is paid to the adaptation of the MERGE model to a current state of the world economy in the conditions of a complicated geopolitical situation and introduction of a new component to the model, realizing a simplified method for calculation the green GDP. The Project of scenario conditions and the key macroeconomic forecast parameters of the socio-economic development of Russia for 2016 and the schedule date of 2017-2018 made by the Ministry of Economic Development of the Russian Federation are used as a basic source of entrance data for the analysis of possible trajectories of the economic development of Russia and the indicators of their ecological efficiency. Calculations show that Russia has reserves allowing its participation in the nature protection initiatives consisting in the non-exceedance of the emissions levels of 1990 by 2020-2025. At the same time, a goal of increasing the ecological efficiency of the Russian GDP is relevant and demands to address this matter urgently. We suppose that modeling results may be in demand by the competent bodies taking managerial decisions.References
Kokorin, A. O., Gritsevich, I. G. & Safonov, G. V. (2004). Izmenenie klimata i Kiotskiy protokol — realii i prakticheskie vozmozhnosti [Climate change and the Kyoto Protocol: realities and practical opportunities]. Moscow: Vsemirnyy fond dikoy prirody (WWF) — Rossiya Publ., 64.
Izrael, Yu. A., Nazarov, I. M., Gitarskiy, M. L., Nakhutin, A. I. & Yakovlev, A. F. (2002). Kiotskiy protokol — problemy ego ratifikatsii [The Kyoto Protocol — problems of its ratification]. Meteorologiya i gidrologiya [Meteorology and hydrology], 11, 5–12.
Manne, A., Mendelson, R. & Richels, R. (1995). MERGE — a Model for Evaluating Regional and Global Effects of GHG reduction policies. Energy Policy, 23(1), 17–34.
Manne, A. (2000). Energy, the environment and the economy: hedging our bets. Global Climate Change. In: J. M. Griffin (Ed.). Northampton, MA: Edward Elgar, 126–143.
Kryazhimsky, A., Minullin, Ya. & Schrattenholzer, L. (2005). Global long-term energy-economy-environment scenarios with an emphasis on Russia. Perspectives in Energy Journal, 9, 119–137.
Digas, B. & Rozenberg, V. (2010). Application of an optimisation model to studying some aspects of Russia’s economic development. International Journal of Environment and Pollution, 1(1), 51–63.
Digas, B., Rozenberg, V. & Kuklin, A. (2014). A new version of integrated assessment model MERGE. International Journal of Environmental Research, 8(4), 1231–1240.
Weyant, J. P. (1996). Integrated assessment of climate change: an overview and comparison of approaches and results. In: J. P. Bruce, H. Lee, and E. F. Haites (Eds). Climate Change 1995: Economic and Social Dimensions of Climate Change. Cambridge University Press, 448.
Stanton, E. A. (2011). Negishi welfare weights in integrated assessment models: the mathematics of global inequality. Climate Change, 107, 417–432.
Rutherford, T. (1999). Sequential joint maximization. Energy and Environmental policy Modeling. In: J. P. Weyant (Ed.). Kluwer Academic Publishers, Norwell, MA, 139–175.
Bobylev, S. N. & Khodzhaev, A. Sh. (1997). Ekonomika prirodopolzovaniya [Environmental economics]. Moscow: TEIS Publ., 272.
Bobylev, S. N. & Makeenko, P. A. (Eds). Indikatory ustoychivogo razvitiya Rossii. Ekologo-ekonomicheskie aspekty [Indicators of a sustainable development of Russia. Eco-economic aspects]. Moscow: TsPRP Publ., 220.
Bobylev, S. N., Minakov, V. S., Solovyova, S. V. & Tretyakov, V. V. (2012). Ekologo-ekonomicheskiy indeks regionov RF [Eco-economic index of regions of the Russian Federation]. Moscow: Vsemirnyy fond dikoy prirody (WWF) — Rossiya Publ., 152.
Ryumina, E. V. (2013). Ekologicheski skorrektirovannyy VVP. Sfery ispolzovaniya i problemy otsenki [Ecologically corrected GDP. Spheres of use and assessment problems]. Ekonomika regiona [Economy of region], 4, 107–115.
Veklich, O. A. & Shlapak, N. Yu. (2012). Ekologicheski skorrektirovannyy VVP kak pokazatel realnogo ekonomicheskogo razvitiya [Ecologically corrected GDP as an indicator of real economic development]. Problemy prognozirovaniya [Problems of forecasting], 3, 48–54.
Groshev, A. R. (2009). Analiz metodicheskikh podkhodov k otsenke VVP s uchetom ekologicheskogo faktora [The analysis of methodical approaches to GDP assessment taking into account ecological factor]. Izvestiya Tomskogo politekhnicheskogo universiteta [News of Tomsk Polytechnical University], 309(4), 213–218.
Kuklin, A. A. & Belik, I. S. (2009). Vliyanie ekologo-ekonomicheskoy bezopasnosti na investitsionnuyu privlekatelnost regiona [Influence of eco-economic security on investment attractiveness of the region]. Ekonomika regiona [Economy of region], 4, 155–158.
Tatarkin, A. I. & Kuklin, A. A. (2012). Izmenenie paradigmy issledovaniy ekonomicheskoy bezopasnosti regiona [Change of research paradigm of regional economic security]. Ekonomika regiona [Economy of region], 2, 25–39.
Chereshnev, V. A., Kuklin, A. A. & Vasilyeva, A. V. (2010). Teoretiko-metodicheskiy podkhod k prognozirovaniyu sotsialno-demokraticheskogo razvitiya regiona [Theoretical and methodological approach to forecasting of socio-democratic development of the region]. Ekonomika regiona [Economy of region], 2, 38–46.
Human Development Report 1990. UNDP. (1990). New York: Oxford University Press, 1990. — 141 p.
Human Development Report 2003. UNDP. (2003). New York: Oxford University Press, 384.
The Changing Wealth of Nations. Measuring Sustainable Development in New Millennium (2011). Washington DC: The World Bank, 266.
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Copyright (c) 2015 Boris Vadimovich Digas, Valeriy Lvovich Rozenberg, Anastasiya Igorevna Boyarskikh

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