Tag: O15

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

read more

DETERMINANTS OF INCLUSIVE GROWTH IN IRANIAN REGIONS (SURE APPROACH IN PANEL DATA)

Majid FESHARI

Assistant Professor of Economics, Kharazmi University

majid.feshari@gmail.com

Mojtaba VALIBEIGI

Assistant Professor of Urban Planning, Buein Zahra Technical University

Abstract

The concept of inclusive growth is one of the important issues in the urban economics literature and has been considered in empirical studies recently. For this purpose, the aim of this paper is to investigate the relationship between income inequality and GDP growth in Iranian provinces over the period of 2000-2014. To conduct this study, the econometric model has been estimated by applying seemingly unrelated regression in panel data for 30 Iran’s provinces. The main findings of this paper shows that the Gini coefficient as a proxy for income inequality, unemployment rate have negative impact and initial value of Gini coefficient has positive and significant effect on the growth of GDP respectively. The overall conclusion of this study suggests that inequality of Iranian provinces can be declined by improving employment and growth of GDP in Iranian provinces.

Keywords: Inclusive Growth, GDP Growth, SURE Approach, Panel Data

JEL classification: C23,O15,R11

read more