Tag: R12

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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THE URBAN STRUCTURE OF SPAIN AND ITALY (1900-2011)

Carlos GAYÁN-NAVARRO

University of Zaragoza, Spain

carlosgayannavarro@gmail.com

Miguel PUENTE-AJOVIN

University of Zaragoza, Spain

mpajovin@unizar.es

Fernando SANZ-GRACIA

University of Zaragoza, Spain

fsanz@unizar.es

Abstract

Our main purpose is to study the evolution of the urban structure of Spanish and Italian municipalities from 1900 to 2010. We use the estimation of the Pareto exponents to show that the most important behavior  is the increase of inequality in the distribution  over time. Convergence is more likely in Italy and for larger urban units.

Financial support from Ministerio de Economía y Competitividad (ECO2017-82246-P) and support by Aragon Government (ADETRE Consolidated Group) is acknowledged.

Keywords: urban evolution, Spain, Italy, Pareto exponent

JEL classification: R11, R12
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