Tag: R11

OUTPUT, GROWTH, AND CONVERGENCE IN A GREATIVE REGION: AN ANALYSIS OF SOME MEASUREMENT ISSUES

Amitrajeet A. BATABYAL

Department of Economics, Rochester Institute of Technology, 92 Lomb Memorial Drive, Rochester, NY 14623-5604, USA.

aabgsh@rit.edu

Abstract

We study some measurement issues that arise when analyzing the long run behavior of the  jth creative region’s time t log output per creative class member (yj(t)) when this region is part of an aggregate economy of j=1,…N creative regions. We focus first (second) on absolute (relative) convergence. In the absolute (relative) convergence case, the N creative regions are similar (dissimilar) in that they all have the same (different) balanced growth path (BGP) level of log output per creative class member denoted by yBGP(yjBGP) In the absolute convergence case, we analyze how to estimate the speed of convergence parameter (σ) and then discuss the relationship between the variance of yj(t) and that of yj(0) In the relative convergence case, we study the error associated with estimating σ using the methodology of the absolute convergence case. Finally, suppose yjBGP= a + bXj where Xj is an explanatory variable such as creative capital and a and b are positive constants. Here, we study how to estimate b from our knowledge of the coefficients of a related cross-region growth regression.

Keywords: Convergence, Creative Capital, Economic Growth, Measurement, Output

JEL classification: R11, C18

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REGIONAL STRATEGIES FOR DEALING WITH STRUCTURAL CHANGE

Eleonora CUTRINI

Associate Professor, Department of Law, University of Macerata

eleonora.cutrini@unimc.it

Enzo VALENTINI

Research Fellow,Department of Political Sciences, Communication and International Relations, University of Macerata

enzo.valentini@unimc.it

Abstract

In recent decades, the low economic performance of European countries has been mainly responsible for the emergence of an economic policy increasingly intended to strengthen the innovative and technology capacity of regions. In particular, the European periphery is lagging behind in the transition to a knowledge driven and eventually service-oriented economy. In a general context of de-industrialization and transition to service economy, and bearing in mind the policy debate at the EU level, the aim of this paper is to analyze the factors driving knowledge-intensive service specialization at the regional level in Italy. Our main research questions here can be summarized as follows: What determines the transition to Services and the specialization in Knowledge-Intensive Services (KIS) in Italy? What are the structural characteristics that may explain the regional variation of employment share in high-knowledge services? Using data on Italian regions over the period 1995-2014 (and spatial panel models as a methodology), the analysis carried out in the paper suggests some considerations: the “mere” (but needed) transition to service activities can be positively associated with R&D Personnel, Tertiary Education, University Attractiveness, Tourism and efficient infrastructure (Railroad). But the transition to Knowledge Intensive Services, supposed to pay higher wages, may deserve a more appropriate and focused public intervention, in view of the fact that it seems to be mainly associated with Public R&D, Tertiary Education and University Attractiveness.

Keywords: Structural Change, Specialization, Spatial Panels, Regional Economy

JEL classification: I25, O32, R11, R12

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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

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