MEASURING THE EFFICIENCY AND PRODUCTIVITY CHANGE OF MUNICIPALITIES:EMPIRICAL EVIDENCE FROM GREEK MUNICIPALITIES OVER THE TIME PERIOD 2013-2016

Ifigeneia-Dimitra POUGKAKIOTI

Ph.D. cand. University of Thessaly, Lamia, Greece

pougakioti.ifigenia@gmail.com

Constantinos TSAMADIAS

Emeritus Professor, School of Environment, Geography and Applied Economics Harokopio University, Athens, Greece

ctsamad@hua.gr

Abstract

This paper investigates the relative efficiency and productivity change of municipalities of Greece (regions of Thessaly and Central Greece), during the period 2013–2016. It implements Data Envelopment Analysis (D.E.A.) and Malmquist analysis. Additionally it estimates the effects of the environmental factors on the efficiency using Regression Analysis. The empirical analysis reveals that efficiency and productivity values have gradually improved after the latest reform of Local Government and under restrictive fiscal policy. Τhe average efficiency under constant or variable returns to scale is 0.772 and 0.878 respectively and the mean scale efficiency is 0.883. The total factor productivity has risen by an annual average of 3.3% relatively to the base year 2013. Environmental variables such as type of municipality and population density had a statistically significant positive effect on efficiency. The results of the empirical analysis are consistent to the findings from studies that concern European and other countries. The findings provide benchmarks for policy evaluation and suggestions for region-based approaches.

Keywords: Greek municipalities, efficiency, productivity, DEA, Malmquist analysis

JEL classification: C14, J48, P41, P43

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FINANCIAL INCLUSION AND HUMAN CAPITAL INVESTMENT IN URBAN AND RURAL: A CASE OF ACEH PROVINCE

Nanda RAHMI

Assistant Professor at the Departement of Economics, Fakultas Ekonomi dan Bisnis, Universitas Syiah Kuala, Banda Aceh, Indonesia

nanda_rahmi84@unsyiah.ac.id

ALIASUDDIN

Associate Professor at the Department of Economics, Fakultas Ekonomi dan Bisnis, Universitas Syiah Kuala, Banda Aceh, Indonesia

aliasuddin@unsyiah.ac.id

Abstract

this study is to analyze the effects of financial inclusion and other variables on human capital investment in urban dan rural region of Aceh Province by using pooled regression model with sample size total of 800 households.   The results show that financial inclusion and income have a positive and significant effect on human capital investment, whereas family size has negative and significant.  Furthermore, male and urban have bigger effects on human capital investment than female and rural region, respectively.   Meanwhile, age has a bell-shaped to human capital investment indicates that the higher age smaller human capital investment.  The last, the average of years of schooling in urban and rural regions is nine-year means the education level of these regions is junior high school.   It is recommended that government should encourage banking to increase their services to a rural area in order to increase human capital investment.

Keywords: Financial Inclusion, Human Capital Investment, Aceh Province, Indonesia

JEL classification: G5, I210, D1, J170

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EXPLORING THE COMPONENTS OF THE INTELLECTUAL CAPITAL IN TROSO WEAVING SMEs

Ngatindriatun

Departement of Management Science, Bina Nusantara University, Jakarta, Indonesia

ngatindriatun@yahoo.com

Didik Sofian Haryadi

STEKOM PAT, Semarang, Indonesia

didikshse@rocketmail.com

Abstract

This study aims to test and analyze the effects of intellectual capital to competitive advantage and company’s performance at Troso traditional weaving business. The variables in this research are human capital as exogenous variable and structural capital, customer capital, competitive advantage, and company performance as the endogenous ones. The subject of the study was 200 sample consisting 572 craftmen. This research applies structural equation modelling. The result of SEM analysis fulfills Goodness of Fit Index criteria, i.e. chi-square value = 432.543, significance probability = 0.000, RMSEA = 0.070, CMIN/DF = 1.966, TLI = 0.885, CFI = 0.900, GFI = 0.849 and AGFI = 0.810. Based on the research result, it can be concluded that human capital, structural capital, and customer capital influence on competitive advantage and company performance.

Keywords: Intellectual Capital, Competitive Advantage, Company Performance

JEL classification: A, M12, J24

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