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Of all publications in the section: 18
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Article
Жукова А. К., Силаев А. М., Силаева М. В. Пространственная экономика. 2016. № 4. С. 112-128.

The paper examines the influence of various socio-economic and environmental factors on the life expectancy of the Russian population using regional data in 2014. With the help of spatial econometrics the authors show that there are differences in the models of life expectancy for men and women, as well as for residents from the western and eastern Russian regions. The study reveals that air pollution negatively affects the life expectancy of the Russian population as a whole and the western regions population particularly, and water resources contamination degrades the life expectancy of the eastern regions population. The authors also compare results of spatial econometric models and regression analysis using the least squares method.

Added: Jan 3, 2017
Article
Семерикова Е. В., Демидова О. А. Пространственная экономика. 2015. № 2. С. 64-85.

This paper analyzes the regional unemployment in Russia and Germany in 2005–2010 and addresses issues of choosing the right specification of spatial-econometric models. The analysis based on data of 75 Russian and 370 German regions showed that for Germany the choice of the spatial weighting matrix has a more significant influence on the parameter estimates than for Russia. Presumably this is due to stronger linkages between regional labor markets in Germany compared to Russia. The authors also proposed an algorithm for choosing between spatial matrices and demonstrated the application of this algorithm on simulated Russian data. The authors found that 1) the deviation of the results from the true ones increases when the spatial dependence between regions is higher and 2) the matrix of inverse distances is more preferable than the boundary one for the analysis of regional unemployment in Russia (because of the lower value of the mean squared error). The authors are also planning to apply the proposed algorithm for simulated data of Germany. These results allow accounting the spatial dependence more correctly when modeling regional unemployment which is very important for making proper regional policy. 

Added: Jun 19, 2015
Article
Семерикова Е. В., Демидова О. А. Пространственная экономика. 2016. № 3. С. 57-80.

With the help of spatial regression models and classical models of panel data the study identifies and assesses the various factors’ influence on the unemployment rate in Russian regions from 2005 to 2010. Using the spatial autoregressive lag model the authors revealed that the change (increase or decrease) in the level of unemployment in one region leads to its changes in other regions. The use of spatial regression models allowed the researchers to identify the effect of higher education on the unemployment rate in the region: the higher share of the employed with higher education corresponds to the lower unemployment rate. This can’t be revealed with the help of classical models of panel data. In addition, some regional characteristics have nonlinear functional dependence of unemployment rate, which requires the algorithm modification for finding direct, indirect and total effects and their confidence intervals using the Monte Carlo approach.

Added: Oct 2, 2016
Article
Покровский Д. А. Пространственная экономика. 2015. № 2. С. 12-30.

This paper is addressed to explanation of impact of market size on selection into entrepreneurship and inequality within two-sector economy with secluded good, populated by individuals with additively-separable preferences,  defined by power specification of utility function. Individuals are differentiated by two characteristics: productivity and  type of  variety, which can be potentially produced by given individual if he or she chooses  entrepreneurial activity instead of salaried work. Each entrepreneur can produce only one unit of  given individual characteristics specific variety.  The specific variety are produced not unique producer, but for any type of entrepreneurial ability there are individuals with given ability, who produce the same variety. Number of such producers is defined by distribution of entrepreneurial abilities. Anyone of entrepreneurs producing the given type of variety has no market power and sells the variety by market price. From the other side, under  given   type of entrepreneurial ability whole range of varieties are produced by different entrepreneurs with given entrepreneurial ability. As far cost of production depends on entreprenurial ability, the prices charged by entrepreneurs with the same ability are equal.   Such specification of market structure allows consider symmetric equilibrium in terms of prices.  The main result oа the model is nontrivial  impact of  market size on outcome:  the bigger number of population, the less share of  salaried workers, the hire prices and the economy is more unequal.This paper is addressed to explanation of impact of market size on selection into entrepreneurship and inequality within two-sector economy with secluded good, populated by individuals with additively-separable preferences,  defined by power specification of utility function. Individuals are differentiated by two characteristics: productivity and  type of  variety, which can be potentially produced by given individual if he or she chooses  entrepreneurial activity instead of salaried work. Each entrepreneur can produce only one unit of  given individual characteristics specific variety.  The specific variety are produced not unique producer, but for any type of entrepreneurial ability there are individuals with given ability, who produce the same variety. Number of such producers is defined by distribution of entrepreneurial abilities. Anyone of entrepreneurs producing the given type of variety has no market power and sells the variety by market price. From the other side, under  given   type of entrepreneurial ability whole range of varieties are produced by different entrepreneurs with given entrepreneurial ability. As far cost of production depends on entreprenurial ability, the prices charged by entrepreneurs with the same ability are equal.   Such specification of market structure allows consider symmetric equilibrium in terms of prices.  The main result oа the model is nontrivial  impact of  market size on outcome:  the bigger number of population, the less share of  salaried workers, the hire prices and the economy is more unequal.

Added: Jun 16, 2015
Article
Кириллов А. М. Пространственная экономика. 2017. № 4. С. 41-58.
Spatial interactions among modelling economic variables observed in spatially distributed units (due to their economic and trade relations) may be considered as an additional explanatory variable in a regression model (which generally prevents from its misspecification). Usually, spatial interactions are included in a regression in the form of spatial lag. In this paper we conduct a spatial econometric analysis of consumer price indexes for foodstuffs (FCPIs) observed in Russian regions. There are 79 regions in our sample for the period of time from 2002 to 2015 (data structured in panel). Our research aims at testing hypotheses of 1) presence of spatial correlation, and 2) of its heterogeneity among regional FCPIs. We develop a spatial panel data model with two matrixes of spatial weights (which are inverse distances with the breakpoint distance of 5000 kilometers between administrative centers of regions measured by roads) to test research hypotheses. In our model, the first matrix serves to estimate spatial correlation among regions up to break point distance between them, while second matrix catches spatial interactions among regions farther than break point distance from one each other. We find strong empirical evidence that 1) there is statistically significant spatial correlation among Russian FCPIs, 2) estimated spatial correlation is heterogeneous and the degree of its heterogeneity depends on the distance. That is, spatial relation shrinks as distance between regions rise and vice versa, or alternatively the closer one region to another, the higher expected inflationary relations between them.
Added: Dec 26, 2017
Article
Иванова В. И. Пространственная экономика. 2015. № 3. С. 34-56.

Using historical data, I examine the impact of spatial relations between regions on regional disparities in rye prices. Using econometric tools and annual data on procurement and retail rye prices in provincial cities of the Russian Empire for the period from 1861 to 1915, I show that convergence in prices was taking place during the period under consideration. Studying the dynamics of the spatial autocorrelation coefficient in relative prices has revealed the need for taking into account the spatial component in the study of convergence in prices. Using spatial regression models, I estimate the role of geographical distance between provincial cities in reducing the price gap. The estimation results of prices convergence econometric models show that reduction in relative rye price growth was largely due to price changes in the neighboring provinces.

Added: Oct 10, 2015
Article
Шаповал А. Б., Гончаренко В. М. Пространственная экономика. 2014. № 3. С. 12-25.

The article deals with the theory of monopolistic competition under demand uncertainty. The authors consider the economy with labor immobility consisting of the high-tech sector with monopolistic competition and the standard sector with perfect competition. Preferences between sectors are specified by the Cobb – Douglas production function. It is assumed that companies make output decisions under preferences uncertainty and consumers’ distribution by sectors will be known by the time of realization. It means that firms are informed about consumer demand with accuracy up to a multiplicative uncertainty which is generated by random parameters in the Cobb – Douglas utility function. The paper shows that demand uncertainty leads to consistent growth of prices and wages in high-tech sector in relation to salaries in the second sector. The impact of uncertainty on welfare is ambiguous. In particular, under the known expected value of uncertainty customers derive benefit from exaggerated companies’ expectations about clients’ desire to consume high-tech goods.

Added: Jan 16, 2015
Article
Шаповал А. Б., Гончаренко В. М. Пространственная экономика. 2014. Т. 3. С. 12-25.

The article deals with the theory of monopolistic competition under demand uncertainty. The authors consider the economy with labor immobility consisting of the high-tech sector with monopolistic competition and the standard sector with perfect competition. Preferences between sectors are specified by the Cobb – Douglas production function. It is assumed that companies make output decisions under preferences uncertainty and consumers’ distribution by sectors will be known by the time of realization. It means that firms are informed about consumer demand with accuracy up to a multiplicative uncertainty which is generated by random parameters in the Cobb – Douglas production function. The paper shows that demand uncertainty leads to consistent growth of prices and wages in high-tech sector in relation to salaries in the second sector. The impact of uncertainty on welfare is ambiguous. In particular, under the known expected value of uncertainty customers derive benefit from exaggerated companies’ expectations about clients’ desire to consume high-tech goods.  

Added: Sep 28, 2016
Article
Васькин Д. С., Шаповал А. Б. Пространственная экономика. 2017. № 3. С. 19-39.
Added: Feb 1, 2018
Article
Федорова Е. А., Коркмазова Б., Муратов М. Пространственная экономика. 2015. № 2. С. 47-63.
Added: May 6, 2016
Article
Гурков И. Б. Пространственная экономика. 2019. Т. 15. № 2. С. 17-36.

Factories owned by foreign corporations retain vital positions in many industries of the Russian economy, including car manufacturing, food production, machinery, construction materials production, and pharmaceuticals. Using the secondary data sources, we had identified all new factories, opened by foreign multinational corporations in Russia in 2012–2018. Almost 80% of the 261 factories opened in the last seven years are located in just 20 Russian administrative regions. Moscow (city and oblast), Kaluga oblast, St. Petersburg and Leningrad oblast, the Republic of Tatarstan, Lipetsk oblast, Nizhny Novgorod oblast and Ulyanovsk oblast are the leaders in accommodating foreign industrial investments. Although consumer goods production develops further, foreign investments increase in B2B sector, with emphasis on manufacturing of details, components, additives, outsourcing services, not the output of finished products. The majority of foreign investors preferred special economic zones and industrial parks as territories for installation of new facilities. Proximity to suppliers, availability of the local market, preferred tax regime, guaranteed infrastructure and articulated care of the local authority about the needs of foreign investors are the main factors that determine the choice of the region for industrial investments of foreign corporations. There is also a relatively large segment of ‘pioneers’ that build new factories in the regions ignored by the main portion of foreign investors. The number of such ‘pioneers’ is especially high for the companies that opened their first factory in Russia in 2012–2018.

Added: Jul 11, 2019
Article
Григорьев Л. М., Павлюшина В. А., Бондаренко К. А. и др. Пространственная экономика. 2018. № 3. С. 138-151.
Added: Oct 22, 2018
Article
Иванова В. И. Пространственная экономика. 2014. № 4. С. 100-119.
Added: Jan 29, 2015
Article
Григорьев Л. М., Лобанова А. А., Голяшев А. В. Пространственная экономика. 2017. № 4. С. 148-169.

The article presents the analysis of comparative dynamics of different types of industrial production in Russian regions from the viewpoint of extractive and processing industries ratio and a general industrial potential. Special attention is paid to the leading regions of the country. It is shown that the way out of recession is provided by extractive and electrical industries that improved in almost all regions in 2016 with extractive industry growing in more diversified regions. 67% of industrial deliveries in 2015–2016 are accounted for 20 regions (mainly financial-economic centers, parts of Ural, Volga and Siberia), 15 of which increased their industrial output in 2016. The task is set to estimate experimentally how much the invariance of regional industries to the changes in comparative dynamics in the industries, to distribution of resources, and to their productivity, is modified under the influences of crises and whether such changes happen at all. The article also sets out to determine how much the overall picture of industrial dynamics and comparative regional data is modified not because of resource, demand or institutional shocks, but as a result of changes in the methods of informative display of industrial dynamics due to moving to a new system of statistical recording. It is proven that the phenomenon of ‘double inertia’ – inertia of general production structure and inertia of territorial structure of production dynamics – remains a fundamental feature of national economy. This indirectly confirms the impossibility of considerable transformation of both types of mactrostructures within the current values of accumulation rate in Russian economy.

Added: Feb 26, 2018
Article
Лимонов Л. Э., Батчаев А. Р. Пространственная экономика. 2013. № 1(33). С. 123-135.
Added: Jun 11, 2013
Article
Покровский Д. А. Пространственная экономика. 2014. № 2. С. 9-39.

This paper is addressed to explanation of differentiation of economics in structure of labor market and income distribution. In order to this aim the author develops a model of endogenous formation of entrepreneurship in economics with heterogeneous agents. The nature of heterogeneity is non-trivial distribution of entrepreneurial abilities across individuals. The impact of form and support of distribution of abilities as well as structure of preferences are studied. The key result is impact of an elasticity of substitution and an elasticity of distribution function on share of entrepreneurs and income inequality in opposite way. This effect must be taken into account when arbitrary economic policy is developed. Also author consider two transformation of support of distribution of entrepreneurial abilities: 1) tension and compression, 2) shift. Economies which are equivalence in sense of first type of support transformation have the same share of entrepreneurs in population and the same level of income inequality. In the second case economy with less able individuals in average has bigger share of entrepreneurs in population and it is more differentiated in income.

Added: Jun 16, 2014
Article
Желободько Е. В., Кичко С. И., Ущев Ф. А. Пространственная экономика. 2013. № 3. С. 10-29.

We study the impact of trade liberalization on the market of a differentiated good and consumers’ welfare. The economy involves two factors of production: labor and capital. We find that consumers always gain from trade liberalization. We also establish that the behavior of equilibrium price is independent of factor endowments’ structure in the countries involved into trade. The equilibrium price decreases (increases, remains unchanged) under trade liberalization if and only if the inverse demand elasticity is increasing (decreasing, constant) with respect to the individual consumption level. Furthermore, firms’ sizes, which are measured as outputs, increase (decrease) when autarky changes to free trade if and only if the country is relatively richer (poorer) in capital than its trading partner, regardless of the demand-side properties of the economy. Finally, the behavior of capital price (which equals firms’ profits in equilibrium) is more complicated in the general case, but can be fully characterized for two limiting cases: (i) when the structure of factor endowments in both countries is the same, and (ii) when the Foreign country is a periphery country, i.e. it has zero endowment of capital.

Added: Nov 18, 2013
Article
Макаров И. А., Соколова А. К. Пространственная экономика. 2018. № 1. С. 16-36.

This paper examines the changing patterns of transnational value chains in the AsiaPacific region. The methodology is based on the analysis of data extracted from the OECD – WTO Trade in Value Added Database (2016). The study demonstrates that 1) Asia-Pacific countries show extremely high involvement in the global value chains; 2) intra-Asian value chains develop at a fast pace, reflecting the trend towards regionalization of economic ties in Asia-Pacific (caused by the processes of transformation within China, the growing income divergence in the region and the development of regional integration mechanisms); 3) the level of participation in global value chains differs across countries and is subject to constant changes. In particular, Chinese manufacturers are moving to the processes with higher value added, and the role of an ‘assembly shop’ in the region is shifting to the ASEAN countries. Russia’s participation in the value chains in the Asia-Pacific region is currently limited to its role as a supplier of raw materials. High tariffs make manufacturing oriented towards Asia less viable, especially considering that most of Asia-Pacific countries have free trade agreements with each other. However, favorable rules of origin in Asian RTAs as well as good political relations with leading Asian countries in conditions of tensions between them still create some opportunities for involving Russia in regional value chains at the more advanced stages.

Added: Oct 20, 2017