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Kajian Free Trade Zone (FTZ) Batam\u002DBintan\u002DKarimun (Permasalahan, Implementasi, dan Solusinya) Image
Journal article

Kajian Free Trade Zone (FTZ) Batam-Bintan-Karimun (Permasalahan, Implementasi, dan Solusinya)

Based on UU No 44 Tahun 2007 Free Trade Zone (FTZ) is applied in Batam, Bintan, and Karimun (BBK). Actually, FTZ has been implemented before that regulation was issued. It was indicated by giving incentive and eliminating of PPN and PPnBM. By means of issuing that regulation, the legality of FTZ implementation, hopefully it becomes a great momentum to attractive more investors. This research is aimed to identify the problems faced by operational institutions, Dewan Kawasan (DK) and Badan Pengusahaan Kawasan Batam, Bintan, and Karimun, deal with FTZ. It also aims to study deeply how many industrial business give response of that implementation. The research method applied is direct interview to the key persons in FTZ institution and businessmen of manufactures. This research finds the facts that FTZ of BBK has not been implemented well so it is needed improvement in regulation and organization structure of operational institution. Beside that, the implementation of FTZ, since April 1, 2009, has not completed by supporting tools such as organization and aparatures that ought to be ready for system and regulation changes from bonded zone to free trade zone. This research gives shorterm and longterm recommendations. For shorterm one it is needed to arrange development roadmap of FTZ and for longterm one it is important to set up grand strategy or blue print of FTZ development.
Ketimpangan Distribusi Pendapatan dan Faktor\u002DFaktor yang Mempengaruhinya di Kabupaten Purbalingga Image
Journal article

Ketimpangan Distribusi Pendapatan dan Faktor-Faktor yang Mempengaruhinya di Kabupaten Purbalingga

The purposes of this research are to analyze level of inequality income distribution and factors influencing per capita income change in Purbalingga. The research method of this research is case study with descriptive analysis using secondary data include per capita income, amount of population, economic sectoral contribution to GDRP of Purbalingga, and development expenditure during 1990-2003. To analyze level of inequality income distribution it use Williamson Index Analysis method. The results of this research indicate that: 1) Average of Williamson Index value during 1990-2003 is 0.07 » 0.1. 2) Simultaneously, amount of population, primary sector contribution, secondary sector contribution, tertiary sector contribution, and development expenditure have a significant effect to per capita income change. Partially, amount of population, primary sector contribution, secondary sector contribution, and tertiary sector contribution have a significant effect with regression coefficient value for each variable is 4,809, 12,007, 4,511, and 15,273. While development expenditure is not having a significant effect to per capita income change. The conclusions of this research are level of inequality income distribution in Purbalingga during 1990-2003 is low inequality income distribution category, and per capita income change is influenced significantly by amount of population, primary sector contribution, secondary sector contribution, and tertiary sector contribution. The tertiary sector contribution has a biggest influence.
Determinants of Economic Growth in Central Java Image
Determinants of Economic Growth in Central Java Image
Journal article

Determinants of Economic Growth in Central Java

The Effect of Human Capital, Labors, and Capital on Economic Growth in Barlingmascakeb Image
The Effect of Human Capital, Labors, and Capital on Economic Growth in Barlingmascakeb Image
Journal article

The Effect of Human Capital, Labors, and Capital on Economic Growth in Barlingmascakeb

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Pengaruh Kapital dan Human Capital terhadap Produk Domestik Bruto di Indonesia Tahun 1970-2005

The article was aimed to analyze the influence of capital and human capital to the gross domestic product (GDP) in Indonesia during 1970-2005. The result, using Engle-Granger's Error Correction Model, shows that in the short term there is only one variable that have influence to GDP, that is, capital. In the long term estimation, both variables that are capital and human capital have influence to GDP.
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