3 research outputs found
Convergence of economic growth in Russian megacities
Purpose: The article presents the results of an empirical analysis of the economic growth of Russian cities with a population of over 1 million people (megacities). Design/Methodology/Approach: The analyzed indicator is the city product calculated according to the UN methodology for the period from 2010 to 2016. The paper analyses the process of Ξ²- and Ο-convergence across Russian megacities using methods of spatial econometrics in addition to the traditional Ξ²-convergence techniques from the neoclassical theoretical framework. Findings: The dynamics of the coefficient of variation confirmed the presence of Ο-convergence in city product. Empirically, positive spatial autocorrelation has been confirmed. Beta-convergence for Russian megacities is found to be significant and the spatial location of megacities significantly affects Ξ²-convergence. Control factors such as fixed capital investment per capita in 2010, average retail volume per capita in 2010, average annual number of employees of enterprises and organizations in 2010 and the dummy variable introduced for βfederal citiesβ Moscow and St. Petersburg are all found to have positive and statistically significant impact on economic growth. Practical Implications: Policymakers may take the results into account under the planning of economical strategies for megacities and regions in Russia in order to facilitate the regional economic growth and the speed of convergence. Originality/Value: The main contribution of the study is the consideration of the economical growth for the megacities and not for the regions as it often used to be the case in similar studies. The important finding is that megacitiesβ economies do converge and the influence of control factors is pronounced.peer-reviewe
ΠΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠ΅ Π±ΡΠ΅ΠΌΡ Ρ ΡΠΎΠ½ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ Π²ΠΈΡΡΡΠ½ΠΎΠ³ΠΎ Π³Π΅ΠΏΠ°ΡΠΈΡΠ° Π‘
Background. The spread of chronic viral hepatitis C (CVHC) among the population entails significant costs for society, both direct, associated with the treatment of such patients, and indirect, associated with the shortfall in fiscal payments to the budget, due to the disability of this category of patients. Therefore, an important task remains to assess the global economic burden of the disease, taking into account the pathological conditions of the human body associated with it.Objective: to systematize studies of published sources devoted to assessing the global economic burden of chronic viral hepatitis C.Material and methods. A feature of the proposed review design is paying attention not only to the objects of assessment under study, but also to the instrumental (including mathematical) means of scenario assessment of the global burden. The study analyzed 29 sources published between 2014 and 2020 and dedicated to assessing and forecasting the global economic burden of CVHC both in individual countries and continents as a whole, and in individual regions of countries. The main criterion for the selection of studies was the availability of an estimate of the global burden of CVHC, taking into account the use of direct antiviral drugs for the treatment of hepatitis C. The search was conducted in PubMed/MEDLINE and eLibrary databases, and in the ResearchGate network.Results. Of the 29 analyzed sources, 40% of the works consider the burden for CVHC only of certain genotypes; in the overwhelming number of articles (80%), when assessing the burden, the distribution of patients by the degree of liver fibrosis is taken into account. In 50% of the studies reviewed, quality of life adjustment tools (QALY or DALY) were used to estimate the global economic burden. A third of the publications took into account both the direct costs of treating CVHC and indirect costs, including those associated with a shortfall in the contribution to the gross national product due to temporary or permanent disability of this category of patients.Conclusion. The analysis showed that interest in assessing the global burden of CVHC began to appear in recent years, when expensive directacting antivirals for the treatment appeared. This is explained by the emergence of a question about the cost of implementing a scenario in which by a certain year it will be possible to completely exclude the spread of the disease. The results of this work may be useful in conducting such studies, including the determining of their design and the use of modern mathematical modeling tools.ΠΠΊΡΡΠ°Π»ΡΠ½ΠΎΡΡΡ. Π Π°ΡΠΏΡΠΎΡΡΡΠ°Π½Π΅Π½ΠΈΠ΅ Ρ
ΡΠΎΠ½ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ Π²ΠΈΡΡΡΠ½ΠΎΠ³ΠΎ Π³Π΅ΠΏΠ°ΡΠΈΡΠ° Π‘ (Π₯ΠΠΠ‘) ΡΡΠ΅Π΄ΠΈ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ Π²Π»Π΅ΡΠ΅Ρ Π·Π° ΡΠΎΠ±ΠΎΠΉ Π·Π½Π°ΡΠΈΡΠ΅Π»ΡΠ½ΡΠ΅ Π·Π°ΡΡΠ°ΡΡ Π΄Π»Ρ ΠΎΠ±ΡΠ΅ΡΡΠ²Π° β ΠΊΠ°ΠΊ ΠΏΡΡΠΌΡΠ΅, ΡΠ²ΡΠ·Π°Π½Π½ΡΠ΅ Ρ Π»Π΅ΡΠ΅Π½ΠΈΠ΅ΠΌ, ΡΠ°ΠΊ ΠΈ ΠΊΠΎΡΠ²Π΅Π½Π½ΡΠ΅, ΡΠ²ΡΠ·Π°Π½Π½ΡΠ΅ Ρ Π½Π΅Π΄ΠΎΠΏΠΎΠ»ΡΡΠ΅Π½ΠΈΠ΅ΠΌ ΡΠΈΡΠΊΠ°Π»ΡΠ½ΡΡ
ΠΏΠ»Π°ΡΠ΅ΠΆΠ΅ΠΉ Π² Π±ΡΠ΄ΠΆΠ΅Ρ ΠΈΠ·-Π·Π° Π½Π΅ΡΡΡΠ΄ΠΎΡΠΏΠΎΡΠΎΠ±Π½ΠΎΡΡΠΈ ΡΠ°ΠΊΠΈΡ
Π±ΠΎΠ»ΡΠ½ΡΡ
. ΠΠΎΡΡΠΎΠΌΡ Π²Π°ΠΆΠ½ΠΎΠΉ Π·Π°Π΄Π°ΡΠ΅ΠΉ ΠΎΡΡΠ°Π΅ΡΡΡ ΠΎΡΠ΅Π½ΠΊΠ° Π³Π»ΠΎΠ±Π°Π»ΡΠ½ΠΎΠ³ΠΎ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ Π±ΡΠ΅ΠΌΠ΅Π½ΠΈ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΡ Ρ ΡΡΠ΅ΡΠΎΠΌ Π°ΡΡΠΎΡΠΈΠΈΡΠΎΠ²Π°Π½Π½ΡΡ
Ρ Π½ΠΈΠΌ ΠΏΠ°ΡΠ°Π»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠΎΡΡΠΎΡΠ½ΠΈΠΉ ΠΎΡΠ³Π°Π½ΠΈΠ·ΠΌΠ° ΡΠ΅Π»ΠΎΠ²Π΅ΠΊΠ°.Π¦Π΅Π»Ρ: ΡΠΈΡΡΠ΅ΠΌΠ°ΡΠΈΠ·Π°ΡΠΈΡ ΠΎΠΏΡΠ±Π»ΠΈΠΊΠΎΠ²Π°Π½Π½ΡΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ, ΠΏΠΎΡΠ²ΡΡΠ΅Π½Π½ΡΡ
ΠΎΡΠ΅Π½ΠΊΠ΅ Π³Π»ΠΎΠ±Π°Π»ΡΠ½ΠΎΠ³ΠΎ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ Π±ΡΠ΅ΠΌΠ΅Π½ΠΈ Ρ
ΡΠΎΠ½ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ Π²ΠΈΡΡΡΠ½ΠΎΠ³ΠΎ Π³Π΅ΠΏΠ°ΡΠΈΡΠ° Π‘.ΠΠ°ΡΠ΅ΡΠΈΠ°Π» ΠΈ ΠΌΠ΅ΡΠΎΠ΄Ρ. ΠΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΡΡ ΠΏΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½Π½ΠΎΠ³ΠΎ Π΄ΠΈΠ·Π°ΠΉΠ½Π° ΠΎΠ±Π·ΠΎΡΠ° ΡΠ²Π»ΡΠ΅ΡΡΡ ΡΠ΄Π΅Π»Π΅Π½ΠΈΠ΅ Π²Π½ΠΈΠΌΠ°Π½ΠΈΡ Π½Π΅ ΡΠΎΠ»ΡΠΊΠΎ ΠΈΡΡΠ»Π΅Π΄ΡΠ΅ΠΌΡΠΌ ΠΎΠ±ΡΠ΅ΠΊΡΠ°ΠΌ ΠΎΡΠ΅Π½ΠΊΠΈ, Π½ΠΎ ΠΈ ΠΏΡΠΈΠΌΠ΅Π½ΡΠ΅ΠΌΡΠΌ ΠΈΠ½ΡΡΡΡΠΌΠ΅Π½ΡΠ°Π»ΡΠ½ΡΠΌ (Π² Ρ.Ρ. ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΠΌ) ΡΡΠ΅Π΄ΡΡΠ²Π°ΠΌ ΡΡΠ΅Π½Π°ΡΠ½ΠΎΠΉ ΠΎΡΠ΅Π½ΠΊΠΈ Π³Π»ΠΎΠ±Π°Π»ΡΠ½ΠΎΠ³ΠΎ Π±ΡΠ΅ΠΌΠ΅Π½ΠΈ. ΠΡΠΎΠ²Π΅Π΄Π΅Π½ Π°Π½Π°Π»ΠΈΠ· 29 ΠΈΡΡΠΎΡΠ½ΠΈΠΊΠΎΠ², ΠΎΠΏΡΠ±Π»ΠΈΠΊΠΎΠ²Π°Π½Π½ΡΡ
Π² ΠΏΠ΅ΡΠΈΠΎΠ΄ Ρ 2014 ΠΏΠΎ 2020 Π³Π³. ΠΈ ΠΏΠΎΡΠ²ΡΡΠ΅Π½Π½ΡΡ
ΠΎΡΠ΅Π½ΠΊΠ΅ ΠΈ ΠΏΡΠΎΠ³Π½ΠΎΠ·Ρ Π³Π»ΠΎΠ±Π°Π»ΡΠ½ΠΎΠ³ΠΎ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ Π±ΡΠ΅ΠΌΠ΅Π½ΠΈ Π₯ΠΠΠ‘ ΠΊΠ°ΠΊ Π² ΠΎΡΠ΄Π΅Π»ΡΠ½ΡΡ
ΡΡΡΠ°Π½Π°Ρ
ΠΈ Π½Π° ΠΊΠΎΠ½ΡΠΈΠ½Π΅Π½ΡΠ°Ρ
Π² ΡΠ΅Π»ΠΎΠΌ, ΡΠ°ΠΊ ΠΈ Π² ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Π½ΡΡ
ΡΠ΅Π³ΠΈΠΎΠ½Π°Ρ
ΡΡΡΠ°Π½. ΠΡΠ½ΠΎΠ²Π½ΡΠΌ ΠΊΡΠΈΡΠ΅ΡΠΈΠ΅ΠΌ ΠΎΡΠ±ΠΎΡΠ° ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ Π±ΡΠ»ΠΎ Π½Π°Π»ΠΈΡΠΈΠ΅ ΠΎΡΠ΅Π½ΠΊΠΈ Π³Π»ΠΎΠ±Π°Π»ΡΠ½ΠΎΠ³ΠΎ Π±ΡΠ΅ΠΌΠ΅Π½ΠΈ Π₯ΠΠΠ‘ Ρ ΡΡΠ΅ΡΠΎΠΌ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΡ Π΄Π»Ρ Π»Π΅ΡΠ΅Π½ΠΈΡ Π³Π΅ΠΏΠ°ΡΠΈΡΠ° Π‘ ΠΏΡΠ΅ΠΏΠ°ΡΠ°ΡΠΎΠ² ΠΏΡΡΠΌΠΎΠ³ΠΎ ΠΏΡΠΎΡΠΈΠ²ΠΎΠ²ΠΈΡΡΡΠ½ΠΎΠ³ΠΎ Π΄Π΅ΠΉΡΡΠ²ΠΈΡ. ΠΠΎΠΈΡΠΊ ΠΎΡΡΡΠ΅ΡΡΠ²Π»ΡΠ»ΠΈ ΠΏΠΎ Π±Π°Π·Π°ΠΌ PubMed/MEDLINE ΠΈ eLibrary, Π° ΡΠ°ΠΊΠΆΠ΅ Π² ΡΠ΅ΡΠΈ ResearchGate.Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ. ΠΠ· 29 ΠΏΡΠΎΠ°Π½Π°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΡΡ
ΠΈΡΡΠΎΡΠ½ΠΈΠΊΠΎΠ² Π² 40% ΡΠ°Π±ΠΎΡ ΡΠ°ΡΡΠΌΠ°ΡΡΠΈΠ²Π°Π΅ΡΡΡ Π±ΡΠ΅ΠΌΡ Π΄Π»Ρ Π₯ΠΠΠ‘ Π»ΠΈΡΡ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Π½ΡΡ
Π³Π΅Π½ΠΎΡΠΈΠΏΠΎΠ², Π² ΠΏΠΎΠ΄Π°Π²Π»ΡΡΡΠ΅ΠΌ ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²Π΅ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ (80%) ΠΏΡΠΈ ΠΎΡΠ΅Π½ΠΊΠ΅ Π±ΡΠ΅ΠΌΠ΅Π½ΠΈ ΡΡΠΈΡΡΠ²Π°Π΅ΡΡΡ ΡΠ°ΡΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΠ΅ Π±ΠΎΠ»ΡΠ½ΡΡ
ΠΏΠΎ ΡΡΠ΅ΠΏΠ΅Π½ΠΈ ΡΠΈΠ±ΡΠΎΠ·Π° ΠΏΠ΅ΡΠ΅Π½ΠΈ. Π 50% ΡΠ°ΡΡΠΌΠΎΡΡΠ΅Π½Π½ΡΡ
ΠΏΡΠ±Π»ΠΈΠΊΠ°ΡΠΈΠΉ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π»ΠΈΡΡ ΠΈΠ½ΡΡΡΡΠΌΠ΅Π½ΡΡ Ρ ΠΏΠΎΠΏΡΠ°Π²ΠΊΠΎΠΉ Π±ΡΠ΅ΠΌΠ΅Π½ΠΈ Π½Π° ΠΊΠ°ΡΠ΅ΡΡΠ²ΠΎ ΠΆΠΈΠ·Π½ΠΈ: QALY (Π°Π½Π³Π». quality-adjusted life year) ΠΈΠ»ΠΈ DALY (Π°Π½Π³Π». disability-adjusted life year). Π 1/3 ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ ΡΡΠΈΡΡΠ²Π°Π»ΠΈΡΡ ΠΊΠ°ΠΊ ΠΏΡΡΠΌΡΠ΅ ΠΈΠ·Π΄Π΅ΡΠΆΠΊΠΈ Π½Π° Π»Π΅ΡΠ΅Π½ΠΈΠ΅ Π₯ΠΠΠ‘, ΡΠ°ΠΊ ΠΈ ΠΊΠΎΡΠ²Π΅Π½Π½ΡΠ΅ Π·Π°ΡΡΠ°ΡΡ, Π² Ρ.Ρ. ΡΠ²ΡΠ·Π°Π½Π½ΡΠ΅ Ρ Π½Π΅Π΄ΠΎΠΏΠΎΠ»ΡΡΠ΅Π½ΠΈΠ΅ΠΌ Π²ΠΊΠ»Π°Π΄Π° Π² Π²Π°Π»ΠΎΠ²ΠΎΠΉ Π½Π°ΡΠΈΠΎΠ½Π°Π»ΡΠ½ΡΠΉ ΠΏΡΠΎΠ΄ΡΠΊΡ Π·Π° ΡΡΠ΅Ρ Π²ΡΠ΅ΠΌΠ΅Π½Π½ΠΎΠΉ Π»ΠΈΠ±ΠΎ ΡΡΠΎΠΉΠΊΠΎΠΉ Π½Π΅ΡΡΡΠ΄ΠΎΡΠΏΠΎΡΠΎΠ±Π½ΠΎΡΡΠΈ ΡΡΠΎΠΉ ΠΊΠ°ΡΠ΅Π³ΠΎΡΠΈΠΈ Π±ΠΎΠ»ΡΠ½ΡΡ
.ΠΠ°ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅. ΠΠ½Π°Π»ΠΈΠ· ΠΏΠΎΠΊΠ°Π·Π°Π», ΡΡΠΎ ΠΈΠ½ΡΠ΅ΡΠ΅Ρ ΠΊ ΠΎΡΠ΅Π½ΠΊΠ΅ Π³Π»ΠΎΠ±Π°Π»ΡΠ½ΠΎΠ³ΠΎ Π±ΡΠ΅ΠΌΠ΅Π½ΠΈ Π₯ΠΠΠ‘ Π²ΠΎΠ·Π½ΠΈΠΊ Π² ΠΏΠΎΡΠ»Π΅Π΄Π½ΠΈΠ΅ Π³ΠΎΠ΄Ρ, ΠΊΠΎΠ³Π΄Π° ΠΏΠΎΡΠ²ΠΈΠ»ΠΈΡΡ Π΄ΠΎΡΠΎΠ³ΠΎΡΡΠΎΡΡΠΈΠ΅ ΠΏΡΠ΅ΠΏΠ°ΡΠ°ΡΡ ΠΏΡΡΠΌΠΎΠ³ΠΎ ΠΏΡΠΎΡΠΈΠ²ΠΎΠ²ΠΈΡΡΡΠ½ΠΎΠ³ΠΎ Π΄Π΅ΠΉΡΡΠ²ΠΈΡ. ΠΡΠΎ ΠΎΠ±ΡΡΡΠ½ΡΠ΅ΡΡΡ Π²ΠΎΠ·Π½ΠΈΠΊΠ½ΠΎΠ²Π΅Π½ΠΈΠ΅ΠΌ Π²ΠΎΠΏΡΠΎΡΠ° ΠΎ ΡΡΠΎΠΈΠΌΠΎΡΡΠΈ ΡΠ΅Π°Π»ΠΈΠ·Π°ΡΠΈΠΈ ΡΡΠ΅Π½Π°ΡΠΈΡ, ΠΏΡΠΈ ΠΊΠΎΡΠΎΡΠΎΠΌ ΠΊ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Π½ΠΎΠΌΡ Π³ΠΎΠ΄Ρ ΠΏΠΎΠ»Π½ΠΎΡΡΡΡ ΠΌΠΎΠΆΠ½ΠΎ Π±ΡΠ΄Π΅Ρ ΠΈΡΠΊΠ»ΡΡΠΈΡΡ ΡΠ°ΡΠΏΡΠΎΡΡΡΠ°Π½Π΅Π½ΠΈΠ΅ Π±ΠΎΠ»Π΅Π·Π½ΠΈ. Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ Π΄Π°Π½Π½ΠΎΠΉ ΡΠ°Π±ΠΎΡΡ Π±ΡΠ΄ΡΡ ΠΏΠΎΠ»Π΅Π·Π½Ρ Π² ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½ΠΈΠΈ ΠΏΠΎΠ΄ΠΎΠ±Π½ΡΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ, Π² Ρ.Ρ. Π΄Π»Ρ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΡ ΠΈΡ
Π΄ΠΈΠ·Π°ΠΉΠ½Π° ΠΈ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΡ ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΡΡ
ΠΈΠ½ΡΡΡΡΠΌΠ΅Π½ΡΠΎΠ² ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ
SYSTEM MODELLING OF ECONOMICAL ANALYSIS AND MANAGEMENT OF DESIGN ORGANIZATION IN OIL AND GAS INDUSTRY
The problem of effectivization of design organization in oil and gas industry is being investigated in terms of system modeling. A method of forming production functions of design organization is considered and used for substantiation of cost, expenses, budget of design organization, as well as the mechanism of transparent interaction, cooperation, coordination and control of field development