E N D
The Role of Interbranch Competitivenessin the Economic and Ecological Development of RussiaV. Gilmundinov, T. Tagaeva Institute of Economics IE SB RAS, Novosibirsk State University Novosibirsk,RussiaThe investigation was supported by Grant of Russian President of government support for Russian scientists,project MK-2148.2010.6
Real Exchange Rate Index of US dollar to Russian rouble in 1994-2008 (1994 = 1,0)
Russian External Trade Structural Indicators in 1994-2008, in %
Emissions (thou tons) from Stationary Sources and Motor Transport in Russia
Prevalence of Chronic Pathology Forms among Children on an Average in Russia and in the Ecologically Unfavorable Territories (cases per 1000 children) Diseases Russia Ecologically unfavorable territories Chronic diseases of nose and accessory sinuses of nose 21 31 Chronic tonsillitis 116 239 Chronic otitis 7 9 Allergic diseases 35 180 Food allergy among children of early age 70 400 Bronchial asthma 10 24 Respiratory allergosis 48 122 Recurrent bronchitis 6 94 Vascular dystonia 12 144 Gastritis, gastroduodenitis 60 180 Nephropathy 33 187 Nervous system affection: encephalopathy, cerebral spastic infantile paralysis 30 50 IQ < 70% 30 138 congenital malformation 11 140
Morbidity Groups inBasic Illness (thou peoples)(registered patients with the first diagnosed disease)
Morbidity in Russia(registered patients with the first diagnosed disease for every thousand people)
Population Reproduction(thou peoples) Number of Number of Increase (+) or Birth Death Decrease ( - ) of Population 1990 1988,9 1656,0 + 332,9 1995 1363,8 2203,8 - 840,0 2000 1266,8 2225,3 - 958,5 2003 1477,3 2365,8 - 888,5 2004 1502,5 2295,4 - 792,9 2005 1457,4 2303,9 - 8 46,5 2006 1479 ,6 2166,7 - 687,1 1610,1 2080,4 -470,3 2007
The General Coefficients of the Birth Rate and Mortality (per 1000 people) 2007
Full Costs I-O Approach in Estimation of Environment Pressure Let’s take: n as amount of branches, Vpi as total annual pollution of branch i, and xi as total annual output of branch i. Then a direct pollution coefficient of branch i is calculated as follows: dpi = Vpi / xi , i = 1,…, n. Full pollutant coefficient of branch j (fpj) shows an amount of pollution produced per unit of branch j final output. Calculation of full pollution coefficient of branch iis defined by the following equation: fpj = ∑(i=1,..n) dpi∙bij, where bij – specific coefficient of full costs I-O matrix (inverse matrix to the difference between unit matrix and input-output matrix).
Atmospheric Pollutions and Industries Average Annual Growth Rates in Russia
Model Apparatus of Forecast Calculations Ecological Block System of Dynamic I-O Models of Russia
- gross output of industry i in year t h=1,…,m- current environmental protection cost for natural resource h wih –coefficient of pollutant h formation (volume of polluted natural resource h, referred to manufacturing of a unit of production of industry i) - output of pollutant h (volume of pollution or destruction of a natural resource) in household. gih(t) – current cost to recover unit of natural resource h (to destroy or to trap unit of pollutant h) in industry i (t) – volume of a recovered natural resource (destroyed or trapped pollutant) of type h - volume of pollutant h (a polluted natural resource) that gets into the natural environment without purification (or by volume of destroyed but not reproduced natural resource)
Two scenarios of the forecast were based on the following basic assumptions: • The dynamics of macroeconomic and sectoral indices in 2008 corresponded to the reporting data of the Federal Statistical Service of the Russian Federation. • The dynamics of macroeconomic and sectoral indices in 2009 were estimated with the help of reporting information of the Federal Statistical Service of the Russian Federation for four months of 2009. It was assumed that annual dynamics would not differ greatly from growth rates in the first quarter of 2009. • Both scenarios of the forecast proceed from the assumption that after 2009 there will be no explosive industrial recovery.
The first scenario of the forecast was constructed on the basis on the following assumptions: • In 2010 the economy would start to emerge gradually from the crisis. In these conditions, demand for Russian exported good would grow, which would stimulate economic growth in Russia. B. Measures taken to stabilize the Russian financial system would give noticeable results in 2010 that would result in increased crediting of business and population, which, in its turn, would lead to a gradual increase of economic growth rates.
Dynamics of Branch Outputs of Russian Economy in 2008-2012 according to the First Scenario (%, 2008 year = 100%)
The second scenario of the forecast was constructed on the basis on the following assumptions: • Measures taken to stabilize world economy would be starting to bring positive results by the end of 2009 already.And theslump of production in 2009 would not be so great as first variant. • Beginning with 2010, there would be economic recovery in the USA, European Union and Japan; there would be greater economic growth in China and other key countries of the world economy. This would lead to an increase of demand for traditionally exported Russian goods and would stimulate a noticeable production recovery in Russia by 2010 already. World economic growth would also encourage the stabilization of the Russian banking system, which would get an opportunity to attract financial resources from abroad.
Dynamics of Branch Outputs of Russian Economy in 2008-2012 according to the Second Scenario (%, 2008 year = 100%)
Amount of Emission Polluting the Atmosphere (thousand tons) according to Results of Forecasting Estimates Amount of Waste Water Discharge (mln. cubic meters) according to Results of Forecasting Estimates
Conclusions • Favorable external factors led to rapid economic growth in Russia in 1999-2008. But this growth has appeared to be very unsustainable and economic structure has become more raw-oriented because of a high competitiveness of primary sector. • The health and demographic situation in Russia very strongly depends on environment. Significant deterioration of environment attends high morbidity and mortality in Russia. For example, maximum concentration level of harmful substances is 5-10 times higher and more in the atmosphere of 125 Russian cities. The number of yearly registered patients with the first diagnosed disease for every thousand people has increased by 25% in 1992–2007.
Conclusions • Proposed approach based on direct and full pollution coefficients allows to take into consideration an environmental competitive restrictions between branches for analysis of a national economy structural transformation. The results show a possible impact of environment restrictions on development of Russian branches, but this possible impact is very negligible, especially to waste water discharging.
Conclusions • The results of forecasting with using Dynamic Input-Output Model show us the growth of environmental pressure in 2010-2012 in Russia. The most optimistic from economic development point scenario is the most pessimistic from ecological point because of the most environmental loading. • Thus, the results of this study suggest a need for tightening of the Russian environmental legislation.
Coefficients of Water Pollution(cubic m per 1 thou Rbl, before 1998 - per 1 million Rbl)and Air Pollution (tons per 1 million Rbl, before 1998 - per 1 billion Rbl), price of 2003.
Volumes of Waste Water Disposals (million cubic m) andEmissions (thou tons) in Russia
Coefficients of Air-pollutant Formation per Unit of Product (tons per 1 million Rbl, price of 2003)
Volumes of Sewage Purification (billion cubic m) andPollution Trapping (107tons)
The Proportion of Sewage Treatment Providing Their Standard Quality (%)
Ecological Investment (million Rbl, before 1998 - billion Rbl, price of 2000)
Environmental Protection Cost($ per 1000 $ of GDP, 2004-2007)
1990 1992 1997 2003 2005 2007 P utting into s ervice the production facilities for sewage 2000 751 1004 5 22 1300 1500 treatment (thou cubic m per day) Putting into service the production facilities for pollution 16400 5642 3101 4 378 4200 4100 trapping ( thou cubic m hour ) Putting into Operation of Environvental Fixed Assets