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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HOW TO DEVELOP AN EQUITABLE DISTRIBUTION OF URBAN GDP BY SMART CITY DEVELOPMENT IN INDIA

Sabyasachi  TRIPATHI

Assistant Professor, Department of Economics Lovely Professional University, Phagwara, Punjab, India

sabya.tripathi@gmail.com

Abstract

The present paper tries to understand the causes behind the emergence of India’s large agglomeration (or giant cities) and how these large agglomerations are linked with economic growth. In addition, the distribution of urban economic growth is measured by the estimation of poverty, inequality and pro-poorness. The paper suggests that the upcoming “Smart cities” in India will emerge as a greater platform for future development of urban India, only if these cities surely ensure smart distribution of the fruits of urban economic growth to the poorer section of urban dwellers.

Keywords: Agglomeration, Economic growth, Poverty, Inequality, Urban India

JEL classification: O18, R11, D63

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