<strong>Russia</strong> to carry out social sector reform in 2007and took first place in a rating by the Ministry ofRegional Development for governmentefficiency, with special commendation foreliminating ‘inefficient social spending’.Unfortunately, efficiency improvements in socialspending are equated by federal authorities and(in many cases) regional governments withspending less budget money, although socialmodernization depends on steady growth ofgovernment investments in the most efficienthuman development instruments.2.3. Social situation:achievements and problemsRegions specializing in fuel and energyproduction are scattered across the country andtheir social development depends on differingfactors and specifics. Nevertheless, they can besensibly divided into three groups:• Sparsely populated northern regions withsingle-industry oil & gas economies (Khanty-Mansi, Yamal-Nenets and NenetsAutonomous Districts);• Regions of European part of <strong>Russia</strong> (most ofthem located in the Volga Federal District)with a longer history of oil & gas extraction,less dependence on fuel & energy, and withbigger cities and higher population density;• Other northern and eastern regions of thecountry, including coal-mining regions,whose social and demographic featuresplace them between the above two groups(Komi Republic, Krasnoyarsk Territory,Sakhalin Region etc.).The demographic situation in regionsdepends on when their industrialization began,and on the duration and scale of migratory flows.Autonomous districts of the north where oil &gas exploration began relatively recently are themost prosperous. Mass migration in the 1970sand 1980s increased population of these areasby 10 times, and the newcomers were mainlyyoung people. There was a second wave ofmigration, on a much smaller scale, in the 1990s,drawn by relatively high wages in the northernoil & gas producing regions. Thanks to theiryoung population the Khanty-Mansi and Yamal-Nenets Autonomous Districts still enjoyrelatively high natural population growth (8-9per 1000 in 2007–2008). The NenetsAutonomous District also has positive naturalpopulation growth (3 per 1000). This contrastswith overall excess of mortality overreproduction in <strong>Russia</strong> since the early 1990s. Alsothere is a large share of people of working age(over 70%) in the northern oil & gas productionareas, and the share of children (20%) greatlyexceeds the share of the elderly (7-12%).In the regions of the Volga FederalDistrict and southern Siberia large-scaleindustrialization started in the middle of the lastcentury, so their populations have already aged,though not as dramatically as in the Central andNorth-Western parts of <strong>Russia</strong>. The demographicsituation in older oil & gas producing regions andin the major coal mining regions of southernSiberia is similar to the national average, both asconcerns natural loss of population (2-3 per 1000)and in the age structure (62-63% of people are ofworking age, 16-18% are children and youngpeople, and 18-22% are senior citizens).The demographic advantages ofnorthern autonomous regions will not lastforever. Since the mid–2000s they have beenexperiencing a migratory outflow. The outflowwas small at the outset, but in 2008 it soared by10 times to 77 per 10,000 population in theYamal-Nenets Autonomous District andreached 36 per 10,000 in the Nenets District.Only the Khanty-Mansi Autonomous Districtshowed some migration increase in 2007–2008,when oil prices were at their peak. But thistrend is unlikely to last, since the period ofsuper-profits from oil is now over and thepresent crisis does not favor creation of newjobs. Without input from immigration thepopulation of <strong>Russia</strong>’s northern areas will age,and the regions will face the samedemographic problems, two generations intothe future, as now face fuel & energy regionswhere industrialization began earlier.34 National Human Development <strong>Report</strong> in the <strong>Russia</strong>n Federation 2009
Immigration by young and highly skilledworkers since Soviet times has made thepopulation of northern resource-mining regionsbetter educated than the national average.Populations in some other fuel & energy sectorregions with large regional centers also haveabove-average levels of education. But theadvantages are usually concentrated invocational secondary education, as in otherindustrial areas of the country. Results of labormarket sampling by Rosstat show that in 2007the largest part of the workforce in most fuel &energy regions had vocational secondaryeducation, and workforces in other fuel & energyregions (Orenburg Region, Komi Republic andBashkortostan) were dominated by people withvocational elementary education (Figure 2.4).Tomsk and Samara Regions stand out by havingworkforces, which are dominated by employeeswith higher education, mainly because Tomsk isa leading university center in Siberia and theurban agglomeration of Samara and Togliatti,with two million inhabitants, has a very welldevelopedhigher education system. In neithercase is the dominance of well-educatedemployees a result of the regions’ specializationin oil business.Data for whole regions do not reflect theskill level of people employed in the fuel &energy sector. The oil & gas industries are notvery labor-intensive, and employment in the coalindustry has declined significantly during thetransition period. In most regions with a largeshare of fuel resource production, the share ofemployment in extraction industries is only 1-3%of the total. Shares are higher in Sakhalin and theKomi Republic (5-7%) and in Kemerovo Region(10%), and are highest in the northernautonomous districts, where the share ofemployment in extraction industries amounts to16-27% (because the economies of these districtsare single-industry).These figures show that conditions in thefuel & energy sector have major impact onemployment in single-industry oil & gasproducing districts and in Kemerovo Region. Inother regions the state of the labor market isdetermined by a wider range of factors.Resource-mining territories in northern andeastern parts of the country suffer more fromunemployment because they have largenumbers of single-industry towns andsettlements, where the service sector isunderdeveloped and few new jobs are created.Figure 2.4Share of employees with various levels of education, % (based on Rosstat sampling in 2007)Higher education, incl. unfinished Vocational secondary Vocational elementary General secondary General basic4035302520151050Tomsk RegionSamara RegionKhanty-Mansi Autonomous DistrictTyumen RegionRF national averageKrasnoyarsk TerritoryRepublic of TatarstanAstrakhan RegionYamal-Nenets Autonomous DistrictNenets Autonomous DistrictRepublic of UdmurtiaKomi RepublicPerm TerritoryKemerovo RegionOrenburg RegionSakhalin RegionRepublic of Bashkortostan35
- Page 1 and 2: National Human Development Reportin
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- Page 5 and 6: ACKNOWLEDGEMENTSThe authors express
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- Page 9 and 10: PREFACEThis is the 13 th National H
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Box 4.6. A city at riskNovocherkass
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In order to assess impact of thesee
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generation facilities through safer
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achieved in developed countries. So
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equires 2-6 times more capital inve
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government) should set targets and
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networks. In 2007 government budget
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enhancement is also important. Ener
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energy efficiency of the transport
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Box 5.1. Programme of the Ministry
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educational and informational suppo
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mechanism for using national quota
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Figure 6.2Share of electricity gene
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One of the major benefits of renewa
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odies; outdoor air; rocks and soil;
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Design and construction of geotherm
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Box 6.3. Prospects for nuclear powe
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consists of out-dated equipment at
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ConclusionThe world’s nuclear pow
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7.1. Impact of the fuel& energy sec
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Table 7.5Solid waste from productio
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Table 7.7Areas of disturbed and rec
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nature of the impact (atmospheric e
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Further, the economic cost ofenviro
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trends continued the damage would a
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What the government needs to do ino
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Figure 7.2.1Specific atmospheric em
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money value of industrial output) c
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Figure 7.2.4Trends in specific atmo
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Chapter 8The Energy Industry and Su
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eing equal) it only reflects that p
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(MDGs), issued by the UN in 2000. T
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8.4. The energy factorin integral i
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Canada, the USA and Great Britain h
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Box 8.2. Energy efficiencyindicator
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Box 8.4. Energy efficiency rating o
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41 Penza Region 116.0 -35.2 -4.542
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Appendix to Chapter 1Table 1.1. GDP
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Attachment to Chapter 4Table 4.1Rus
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Attachment to Chapter 4Volga Federa
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Attachment to Chapter 4Belovo Belov
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The previous National Human Develop