SPATIAL DEVELOPMENT OF THE RUSSIAN EUROPEAN NORTH IN THE POST-SOVIET PERIOD

Sergey KOZHEVNIKOV

Candidate of Sciences in Economics, Leading Researcher, Deputy Head of Department, Vologda Research Center of the RAS, Russia

kozhevnikov_sa@bk.ru

Abstract

The article explores the features of the spatial development of the European North of Russia in the post-Soviet period. It is shown that there are processes of polarization and disintegration of the region’s space, which is manifested primarily in the concentration of both the population and economic activity in the “nodal” points, which, as a rule, are large cities, administrative and industrial centers, as well as an increase in the area of the economic periphery. The prospects for the development of resettlement systems are substantiated, and an assessment of the connectivity of the northern territories based on an analysis of the level of development of their transport and logistics infrastructure is given. The necessity of forming several reference points in the economic space of the European North of Russia is substantiated, which, in our opinion, should become a kind of “counterbalance” to the large cities of the central regions of the country and will allow to overcome the negative trends associated with the compression of the region’s economic space.

Keywords: spatial development, economic space, space connectivity, urban agglomerations, small and medium-sized cities, transport and logistics infrastructure, European North of Russia.

JEL classification: R12

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HOW CITIES IN INDIA CAN ATTRACT MORE RURAL POPULATION?

Sabyasachi TRIPATHI

Institute for Statistical Studies and Economics of Knowledge. National Research University Higher School of Economics, 11 Myasnitskaya St., 101000, Moscow, Russia

sabya.tripathi@gmail.com

Abstract

The low level of rural to urban migration needs to boost up for a higher rate of urbanization and economic development in India.  In this paper, we use cross-section data models to investigate the relevant determinants of rural to urban migration at the city level in India in 2001. City-level analyses show that employment opportunities and availability of infrastructure facilities pull people from rural areas to urban areas; however, a higher level of living cost, poverty, and inequality discourage migration. India’s abundant rural resources such as land and labor need to reallocate to the urban areas to increase productivity and economic growth. In this context, we suggest that management of poverty, inequality, job creation, provision of better infrastructural facilities are essential at the city level to promoting rural to urban migration in India.

Keywords: Urbanization, rural to urban migration, urban economic growth, India

JEL classification: R12, O10, O15

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DETECTION OF FIRMS´ CLUSTERING BY LOCAL SCALING

Ilona BERKOVÁ

University of South Bohemia in České Budějovice, Faculty of Economics

berkova@ef.jcu.cz

Tomáš MRKVIČKA

University of South Bohemia in České Budějovice, Faculty of Economics

mrkvicka@ef.jcu.cz

Renata KLUFOVÁ

University of South Bohemia in České Budějovice, Faculty of Economics

klufova@ef.jcu.cz

Radim REMEŠ

University of South Bohemia in České Budějovice, Faculty of Economics

remes@ef.jcu.cz

Abstract

The paper analyses locations of headquarters of companies and their interactions by inhomogeneous point process, especially local scaling principles, because companies choose their locations according to the number of the local population. Relationships of the companies within economic sectors are studied using the analysis of locally scaled L function. The inhomogeneity was modelled using the local population, then the company’s size was included. Lastly the level of clustering in each sector was computed. The companies are located in three regions in the Czech Republic. It was found out that the companies tend to cluster when the population or the companies’ size is taken into account.

Keywords: Inhomogeneous point process, L-function, Global envelope test, Spatial clusters, Agglomeration

JEL classification: C21, L60, O18, R12

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