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DETERMINAN INVESTASI DI DAERAH: STUDI KASUS PROPINSI DI INDONESIA Jamzani Sodik; Didi Nuryadin
Economic Journal of Emerging Markets Volume 13 Issue 1, 2008: Indonesian Version
Publisher : Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/ejem.v13i1.48

The main purpose of this research is to test the determinant of investment locations in 26 provinces in Indonesia between 1993-2003 using dynamics method of panel. Factors affecting to investment locations in Indonesia are indicator of market size which is growth rate PDRB (X1), infrastructure indicator i.e. number of electricity capacity (X2), indicator spatial which is deensity (X3), indicator manpower that is labour force (X4) and wages/UMP (X5), and last of economic indicators that is export/ level of chartered investment counsel openness (X6). The result concludes that all variables applied in stationary research has at data level (I0), equally all variables have owned degree of the same integration. Result of testing of panel co integration with approach of parametric indicates that Group rho-Statistic to have coefficient 8432 while Group PP-Statistic has coefficient co integration of 9193. The coefficient co integration by using Group ADF-Statistic is 2540. Probability each testing method indicates that variable applied by co integrating at level of significance at 5%. From total 7 testing panel, got result that all research variable of co integrating or on a long term research variable has direction of the same movementKeywords: investments, panel dynamic, unit root panel, and cointegration panel

Determinants of Local Investment: Case Study in Provinces in Indonesia Jamzani Sodik; Didi Nuryadin
Economic Journal of Emerging Markets Volume 13 Issue 1, 2008: English Version
Publisher : Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/ejem.v13i1.487

The main purpose of this research is to test the determinants of local investment in 26 provinces in Indonesia since 1993-2003 using dynamic panel method. Factors affecting local investment in Indonesia are market size indicator which is growth rate PDRB (X1), infrastructure indicator i.e. number of electricity capacity (X2), indicator spatial which is deensity (X3), indicator manpower that is labour force (X4) and wages/UMP (X5), and last of economic indicators that is export/ level of chartered investment counsel openness (X6). The result concludes that all variables applied in stationary research has at data level (I0), equally all variables have owned degree of the same integration. Result of panel test cointegration using parametric approach indicates that Group rho-Statistic coefficient is 8432 while Group PP-Statistic coefficient co integration is 9193. The coefficient co integration by using Group ADF-Statistic is 2540. Probability of each testing method indicates that variable applied by cointegrating at level of significance at 5%. From total 7 testing panel, got result that all research variable of co integrating or on a long term research variable has direction of the same movementKeywords: investments, panel dynamic, unit root panel, and cointegration panel

Real Effective Exchange Rate Determination in Indonesia: A Behavioral Equilibrium Exchange Rate Approach Didi Nuryadin
Economic Journal of Emerging Markets Volume 11 Issue 2, 2006
Publisher : Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/ejem.v11i2.531

The aim of this paper is to analyze the determination of real effective exchange rate in Indonesia for the period 1994.1-2004.6 using behavioral approach. The sets of funda¬mental variables consisting of net foreign asset, term of trade, ratio total trade to GDP, pri¬vate and government consumption were used to estimate for resulting estimation of behav¬ioral real effective exchange rate.The data was used in this study using time series monthly data from 1994.1 – 2004.6. The source of data were taken from International Financial Statistic and Central Bank of Indonesia. The method of analysis is multivariate cointegration methods of Johansen to determine the long run relationship real effective exchange rate. Exchange rate misalign¬ment was also used in this study by plotting the series between actual real effective exchange rate and the behavioral equilibrium exchange rate. The results of this study showed that from the estimation result of behavioral equi¬librium exchange rate, some variables of the sets fundamental variables such as net foreign asset, term of trade and ratio total trade to GDP were correctly signed, plausible magnitude and statistically significant. But, government and private consumption were not statistically significant and incorrectly signed. From the plotted result between actual and equilibrium estimation, it represents that for the period post-1997, the currency has been undervalued. The close alignment between actual and equilibrium was occurred in 1998 and 1999. But at the end of the sample, the currency looked overvalued.Keywords: Real effective exchange rate, Behavioral equilibrium approach, Cointegration

Investasi dan Pertumbuhan Ekonomi Regional (Studi Kasus pada 26 Propinsi di Indonesia, Pra dan Pasca Otonomi Jamzani Sodik; Didi Nuryadin
Economic Journal of Emerging Markets Vol. 10 No. 2 (2005)
Publisher : Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/ejem.v10i2.599

The aim of this study is to examine the affect of investment on regional economic growth 26 province pre and pasca authonomy for periods of 1998-2003 using GLS method (General Least Square) for process polling data. Factor that affect the regional economic growth are foreign direct investments (X1), direct domestic investmens (X2), we also identify other factors (as controlled variables) that can influence the regional economic growth. These variables are labor force (X3), inflation rate (X4), and rate openness economic pro¬vince (X5).The results found regional economic growth for periods 1998-2003 are influenced by foreign direct investments (X1), labor force (X3), and rate openness economic pro¬vince (X5). However direct domestic investments (X2), and inflation rate (X4) do not affect to regional economic growth. But for periods 1998-2000 (pre authonomy) foreign direct in¬vestments (X1), and rate openness economic province (X5) affect to regional economic growth. Periods 2000-2003 (pasca authonomy) inflation rate (X4) and rate openness eco¬nomic province (X5) affect to regional economic growth.Keywords: investment, foreign direct investments, direct domestic investments, regional eco¬nomic growth, pre authonomy, pasca authonomy, and panel data.

EDUCATION AND REGIONAL ECONOMIC GROWTH IN CENTRAL JAVA Jamzani Sodik; Didi Nuryadin
Economic Journal of Emerging Markets Volume 3 Issue 2, 2011
Publisher : Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/vol3iss2aa2327

There has been a long debate on the relationship betwen investment on human resources and economic growth. This paper examines the affect of investment and three level of education, namely elementary school, junior high school, and senior high school, on regional economic growth in Central Java. It estimates a General Least Square on a pool data of 35 districts from 2004 to 2008. The results suggest that regional economic growth is influenced by investments and the growth of junior high school attainment. However the growth of senior high school attainment and growth of elementary school attainment do not affect regional economic growth.Keywords: Investment, education, regional economic growth, panel dataJEL classification numbers: O15, O43

Analytical Hierarchy Process Approach on Regional Product Competitiveness in Magelang, Central Java Didi Nuryadin; Jamzani Sodik
KINERJA Vol. 21 No. 1 (2017): KINERJA
Publisher : Faculty of Business and Economics Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/kinerja.v21i1.1035

This study aims to identify and analyze the data and information to determine the local featured products through the aspects of value-added, market expansion and production technology. The location is the town of Magelang in which there are many small and medium industries with a wide range of their products. The analytical tools used include common analytical technique used to determine a featured product. They are scoring, value chain and Analytical Hierarchy Process (AHP). The result of the study shows that the main criteria for weighting the featured products are competitive advantage, stakeholders' acceptance and societal benefits. Through all three criteria, there are three main local featured products becoming the. They are getuk (the result of processed cassava), kerupuk tahu (tofu crackers) and ceriping ketela (cassava crackers). Furthermore, through a comparative analysis of the criteria, it can be concluded that the product getuk can be considered as the Regional Industry Core Competence based featured product from Magelang.Keywords: Analytical Hierarchy Proces, Regional Product, Competitiveness

ANALISIS APLIKASI MODEL NERACA PEMBAYARAN DAN MODEL MONETER TERHADAP NILAI TUKAR RUPIAH/ DOLAR, PERIODE 1980.1 – 2000.4 Didi Nuryadin; DR. Bagus Santoso, M.Soc.Sc
Buletin Ekonomi Moneter dan Perbankan Vol 7 No 2 (2004)
Publisher : Bank Indonesia

This paper is aimed to analyze variables determines the exchange rate of rupiah. Using exchange rate model (balance of payment and monetary model) developed by Fullerton, Hattori and Calderon (2001) we incorporate two additional variables namely policy variable and crises variable.We apply unit root test to observe the existence of structural break during observed period. Prior the implementation of Engel-Granger Error Correction Model, we test whether our variables in equation are cointegrated. Following Hendry’s general to specific modeling procedure, we get two simple models namely balance of payment and monetary model.Our result shows all explanatory variables significantly determine exchange rate in both models. However international reserve and national income has opposite sign before and during the crisis. Devaluation which is captured by dummy variable has positive impact (depreciates) exchange rate as well as crisis dummy variable. We also note that the speed of adjustment in balance of payment model, 17.51% is greater than in monetary model, 12.47%.

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