000 | 04383nla2a2200505 4500 | ||
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001 | 658040 | ||
005 | 20231030041535.0 | ||
035 | _a(RuTPU)RU\TPU\network\25100 | ||
035 | _aRU\TPU\network\18900 | ||
090 | _a658040 | ||
100 | _a20180514a2018 k y0engy50 ba | ||
101 | 0 | _aeng | |
105 | _ay z 100zy | ||
135 | _adrcn ---uucaa | ||
181 | 0 | _ai | |
182 | 0 | _ab | |
200 | 1 |
_aMigration And Welfare In The Far East _fYu. V. Aksenova [et al.] |
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203 |
_aText _celectronic |
||
300 | _aTitle screen | ||
320 | _a[References: p. 17-18 (11 tit.)] | ||
330 | _aThis study analyzes the problem of negative migration flows of the Far Eastern Region as one of the main components of the welfare of the population. The aim of the study is to construct an econometric model describing the correlation between the productive and factor characteristics, which will be of practical importance for the compilation and adjustment of state programs for the development of the Far Eastern Region. The hypothesis of the study is the assertion that the following indicators influence the emigration flows: the volume of industrial production, its rise or decline and the volume of shipped goods of its own production related to manufacturing industries. Therefore, the study reveals factors influencing the high level of emigration flows from the Far Eastern Region. Multilevel factorial regression analysis is performed. The analysis shows that with the state policy unchanged in relation to the increase in living standards and welfare of the Far Eastern Region, migration to other regions of the Russian Federation will exceed 100 thousand people by 2020, which is a critical mark for the region. Thus, recommendations are given on the use of the model in drawing up federal programs to increase the welfare of the Far East. | ||
461 | 0 |
_0(RuTPU)RU\TPU\network\11959 _tThe European Proceedings of Social & Behavioural Sciences (EpSBS) |
|
463 | 0 |
_0(RuTPU)RU\TPU\network\25098 _tVol. 38 : Lifelong Wellbeing in the World (WELLSO 2017) _oIV International Scientific Symposium, 11-15 September 2017, Tomsk, Russian Federation _o[proceedings] _fNational Research Tomsk Polytechnic University (TPU) ; eds. F. Casati, G. A. Barysheva, W. Krieger _v[P. 8-18] _d2018 |
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610 | 1 | _aэлектронный ресурс | |
610 | 1 | _aтруды учёных ТПУ | |
610 | 1 | _awelfare | |
610 | 1 | _amigration | |
610 | 1 | _athe Far East | |
610 | 1 | _aregression analysis | |
610 | 1 | _afactor analysis | |
610 | 1 | _aблагосостояние | |
610 | 1 | _aмиграция | |
610 | 1 | _aДальний Восток | |
610 | 1 | _aрегрессионный анализ | |
610 | 1 | _aфакторный анализ | |
701 | 1 |
_aAksenova _bYu. V. _gYuliya |
|
701 | 1 |
_aDukart _bS. A. _ceconomist _cAssociate Professor of Tomsk Polytechnic University, candidate of historical sciences _f1970- _gSergey Aleksandrovich _2stltpush _3(RuTPU)RU\TPU\pers\36431 |
|
701 | 1 |
_aBorisova _bL. M. _cEconomist _cAssociate Professor of Tomsk Polytechnic University, Candidate of economic sciences _f1976- _gLyudmila Mikhailovna _2stltpush _3(RuTPU)RU\TPU\pers\40818 |
|
701 | 1 |
_aAnikina _bE. A. _ceconomist _cAssociate Professor of Tomsk Polytechnic University, Candidate of economic sciences _f1982- _gEkaterina Alekseevna _2stltpush _3(RuTPU)RU\TPU\pers\33513 |
|
712 | 0 | 2 |
_aНациональный исследовательский Томский политехнический университет _bШкола базовой инженерной подготовки _bОтделение социально-гуманитарных наук _h8033 _2stltpush _3(RuTPU)RU\TPU\col\23512 |
712 | 0 | 2 |
_aНациональный исследовательский Томский политехнический университет (ТПУ) _bИнститут социально-гуманитарных технологий (ИСГТ) _bКафедра экономики (ЭКОН) _bМеждународная научно-образовательная лаборатория технологий улучшения благополучия пожилых людей (МНОЛ ТУБПЛ) _h7381 _2stltpush _3(RuTPU)RU\TPU\col\21257 |
801 | 2 |
_aRU _b63413507 _c20180518 _gRCR |
|
856 | 4 | _uhttp://dx.doi.org/10.15405/epsbs.2018.04.2 | |
856 | 4 | _uhttp://earchive.tpu.ru/handle/11683/47224 | |
942 | _cCF |