This paper analysis direct and indirect impacts of economic development indicators that consist of economic growth, human development and global competitiveness, on happiness. Cross-section data on economic growth, human development, global competitiveness and happiness were collected from 123 countries and employed to a path analysis model. The result showed that directly, in Path-1 the impact of economic growth on happiness was negative and significant. Indirectly, the impacts of economic growth on happiness varied depend on the path. In Path-7, P43-P31, the impact of economic growth on happiness through global competitiveness was positive and significant. In Path-8, P43-P32-P21, the impact of economic growth on happiness through global competitiveness and human development was negative, but statistically was not significant. Finally, in Path-9, P42-P21, the impact of economic growth on happiness through humandevelopment was negative but statistically was not significant. The implication of this finding was that economic growth no longer important factor in development, especially when development aimed to make people happy.

The island of Java is significantly important for the Indonesian economy as the national economy is highly concentrated in this island. Historically, the island of Java has dominated the Indonesian economy since the colonial era. More than 60 per cent output of the Indonesian economy resulted by the island of Java. Using an inter-island input-output model, this paper shows the economic significant of manufacturing industry, the island of Java and Java's manufacturing industry in the Indonesian economy.

Iklim pengembangan teknologi merupakan faktor yang perlu dipertimbangkan dalam proses transformasi ekonomi di suatu wilayah yang menerapkan strategi pembangunan berbasis teknologi. Pengalaman menunjukkan bahwa pemasangan fasilitas (peralatan, hardware) produksi yang sama di dua tempat wilayah berbeda akan membuahkan hasil yang berbeda. Dalam hal ini, wilayah yang memiliki dukungan iklim teknologi yang lebih kuat, akan menerima hasil yang lebih baik untuk pemasangan fasilitas produksi yang sama dibandingkan wilayah yang memiliki dukungan iklim teknologi yang kurang kuat. Beberapa studi internasional menunjukkan bahwa umumnya negara maju memiliki iklim teknologi yang lebih baik dibandingkan negara yang sedang berkembang. Dalam konteks wilayah kiranya dapat dihipotesiskan bahwa wilayah yang maju memiliki iklim teknologi yang lebih baik dari pada wilayah yang masih terbelakang. Oleh karena itu penerapan teknologi untuk pembangunan wilayah akan lebih berhasil pada wilayah yang telah dipersiapkan lebih dahulu dukungan iklim teknologinya. Beberapa alasan kurangnya daya dukung iklim teknologi di wilayah yang masih terbelakang antara lain adalah akumulasi teknologi yang tidak signifikan, keterbatasan tenaga ilmu pengetahuan dan teknologi (iptek), ketidakcukupan investasi di bidang iptek, tidak efisiennya sistem pengembangan iptek, serta struktur sosial yang masih tradisional.

Peranan Industri Pengolahan Hasil Pertanian (IPHP) Dalam Pengembangan Wilayah Transmigrasi dengan Kasus Pabrik Pandu (Pilot Plant) Ethanol di Satuan Kawasan Pemukiman Transmigrasi Tulang Bawang I, Lampung (Di bawah Bimbingan Lutfi Ibrahim NASOETION sebagai Ketua, isang GONARSYAH dan Bambang Sulistiyo UTOMO sebagai Anggota). Penelitian ini bertujuan untuk : (1) memperkirakan dampak IPHP terhadap peningkatan pendapatan wilayah, (2) mempelajari kesediaan transmigran untuk mengusahakan tanaman Ubi kayu sebagai bahan baku bagi IPHP dan (3) mempelajari kemungkinan alokasi pemanfaatan lahan yang dapat memaksimumkan pendapatan transmigran dari kegiatan usaha tani.

This paper provides evidences that the Philips curve exists in the world’s economy. The Philips curve depicted a negative correlation between the rate of inflation and unemployment rate. This dilemma has been a big problem faced by any government. Inflation cannot be eliminated without raising unemployment, at least for some time and moderate unemployment cannot be cut sharply without the risk of raising inflation. It was empirically evidence that this curve exist in the short-run. Inflation cannot be reduced without creating a recession. Using cross-section data on inflation rate and rate of unemployment from 182countries all over the world: 49 countries in Asia, 52 countries in Africa, 39 countries in Europe and 29 countries in America, this paper proved that there was a negative correlation between the rate of inflation and unemployment rate. It means that the Philipscurve do exists in economy, but the relationship between them was not statistically significant.

This paper analysis direct and indirect impacts of technological progress on Indonesia’s global competitiveness, with economic growth and human development as moderator variables. Time series data on technological progress, economic growth, human development and global competitiveness of Indonesia were collected many sources and employed in a path analysis model. The results showed that technological progress had a negative and significant direct impact on the global competitiveness. Technological progress had also negative and significant direct impact on human development. Furthermore, technological progress had a positive and significant direct impact on economic growth, and economic growth had positive impact on human development and negative impact on global competitiveness. Indirectly, the impacts of technological progress on global competitiveness varied depend on the path. At P43-P31, indirect impact through human development, the impact was negative and significant. At P43-P32-P21, indirect impact through human development and economic growth, the impact was positive and significant. Finally, at P42-P21, indirect impact through economic growth, the impact was negative and significant. These findings confirm other research by Author using cross-nations data.

The research reported in this paper aimed to analyse the impacts of technological progress on human development, directly and indirectly, using Indonesian data 2004-2013. This period of investigation coincided with the two periods of Yudhoyono adminstration. Technological progress was mesured by Total Factor Productivity growth (%), Economic growth was measured by GDP growth (%), Poverty reduction was measured by percentage of poor people (%), and Human development was measured by human development index. Except data on total factor productivity growth, all data were collected from National Statistic Agency.A path model analysis was empolyed to examine direct and indirect impacts. There were four paths (Path-1 to Path-4) to be analysed. Four hypothesis had been tested.The results showed that the impact of technological progress on human development varied depend on the path. Firstly, on Path-1, technological progress had direct negative impact on human development. This direct impact was statistically significant. Secondly, on Path-2,technological progress indirectly had negative impact on human development, through poverty reduction. This indirect impact was statistically significant. Thirdly, on Path-3,technological progress had positive impact on human development, through poverty reduction and economic growth. This indirect impact was statistically significant. Finally, on Path-4, technological progress indirectly had positive impact on human development, through economic development.

employing input-output model, this paper provides and discusses import components of agricultural, animal husbandry, forestry and fishery sectors in the Indonesian economy. Using the model, it is possible to trace the initial, direct, indirect and consumption induced requirements of imports of these sectors. One can then examine which. sectors have the highest total import components, not just initial or direct import requirements. The result of analysis shows that import components of these sectors are generally low. Only 6 among 26 sectors observed in this study are classified as those that have high import components. It is interesting to note that 3 of those 6 sectors have low initial requirements of import.

This paper examined the impact of technological change on poverty alleviation, with unemployment rate and economic growth as moderating variables, in Indonesia during the period of 10 years (2004-2013). This period was coincided with the two period of Yudhoyono Administration. Technological change was measured by total factor productivity (TFP) growth, unemployment was measured by open unemployment rate, economic growth was measured by the growth of Gross Domestic Product based on the year of 2000 constant price, and poverty alleviation was measured by the percentage of poor people. Impact analysis was conducted using SEM-Path Analysis techniques. Most data were directly gathered from the National Statistics Agency, except data on TFP growth. The results showed that first, technological change,directly, had a not significant positive impact on poverty alleviation (Path-1). Second, technological change, indirectly, had a positive significant impact on poverty alleviation (Path2). Third, technological change, indirectly, had a positive significant impact on poverty alleviation (Path-3). Fourth, technological change, indirectly, had positive significant impact on poverty alleviation (Path-4).

This paper analysis direct and indirect impact of economic growth on global competitiveness, with human development as moderator variable. Cross-section data on economic growth, human development and global competitiveness indices were collected from 123 countries and employed in a path analysis model. The results show that economic growth had positive and significant direct impact on global competitiveness. Economic growth had negative and significant direct impact on human development. Meanwhile, human development had positive and significant direct impact on global competitiveness. Indirectly, through moderator variable human development, economic growth had negative and significant impact on global competitiveness. Implications of this finding were that economic growth no longer a single important factor in development indicator for achieving global competitiveness. It is then suggested that human development sustainably be promoted in order to make nations globally competitive.