This paper aimed to provide the results of analysis on total and flow-on effects, sector-specific, and spatial-specific multipliers in Eastern Indonesia’s Islands economy, mainly for planning and evaluation purposes. These Islands consist of thr ee groups of big Islands such as: Sulawesi (6 provinces), Maluku (2 provinces) and Papua (2 provinces). The model employed was InterIsland Input-Output Model (IIIOM) developed using new hybrid procedures with special reference to Island economy. Data used for model were updated to Indonesian data for the year of 2015. The results show that firstly, the important sectors of Eastern Indonesia’s Island economy could be based on total multipliers and flow-on effects of output, income and employment. Secondly, important economic sectors could be based on sector-specific multipliers of output, income and employment; multipliers that occurred in own sector and other sectors. Thirdly, important economic sectors could be based on spatial-specific multipliers of output, income and employment; multipliers that occurred both in own region and other regions. economic sectors could be based on sector-specific multipliers of output, income and employment; multipliers that occurred in own of output, income and employment; multipliers that occurred in own of output, income and employment sector and other sectors. Thirdly, important economic sectors could be based on spatial-specific multipliers ; multipliers that occurred both in own region and other re

This paper provides the results of analysis of total, sectoral-specific, and spatial-specific multipliers and flow-on effects in Sumatera Island economy. The model employed was Inter-Regional Input-Output Model (IRIOM) developed using new hybrid procedures with special attention on Island economy. Data used for model were updated Indonesian data for the year of 2015. The results show that firstly, the important sectors of Sumatra Island economy could be based on total multipliers and flow-on effects of output, income and employment. Secondly, important economic sectors could be based on sector-specific multipliers effects; multipliers that occurred in own sector and other sectors. Thirdly, important economic sectors could be based on spatialspecific multipliers; multipliers that occurred both in own region and other regions. Fourthly, important economic sectors could be based on spatial distribution of flow-on; flow-on effects that occurred in own region as well as in other regions.

This paper directly and indirectly examines the impact of economic growth on happiness, with human development as moderator variable. Cross-nations data on economic growth, human development, and happiness indices were collected from 124 countries and employed in a path analysis model. The results show that economic growth had a direct negative and significant impact on both happiness and human development. Meanwhile, human development had a positive and significant direct impact on happiness. Indirectly, through moderator variable human development, economic growth again had a negative and significant impact on happiness. An implication of this finding was that economic growth is no longer a single important factor of a development indicator. It is then suggested that human development, rather than economic growth, sustainably be promoted in order to make everyone always feels happy

This paper discuss on inflation, unemployment and economic growth in Islamic State Nations. There are two types of Islamic state nations in this study, namely Islamic states that have adopted Islam as the ideological foundation and constitution (6 countries) and the other one is that Muslimmajority nation-states that have endorsed Islam as their state religion (14 countries). The Philips curve does exist in the countries as indicated by negative correlation between inflation rate and the rate of unemployment which was statistically significant, although the coefficent of determination was very small. Multiple regression analysis which inflation and unemployment were independent variables and economic growth was dependent variable showed that there were not significant simultant negative influences of the rate of inflation and the rate of unemployment toward economic growth. But, partially both inflation and unemployment have significant negative impact on economic growth in Islamic countries.

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.

Tulisan ini menggagas sebuah prosedur hibrida baru dalam penyusunan model input-output antardaerah pada suatu perekonomian kepulauan, dengan mengacu kepada kasus khusus Indonesia. Prosedur ini, disebut GIRIOT, merupakan kombinasi dan modifikasi dari prosedur GRIT II dan GRIT III; prosedur hibrida yang dirancang untuk perekonomian maju di negara benua. Dua prosedur hibrida dalam penyusunan model input-output antardaerah akan ditelaah. Kemudian, empat pertimbangan dasar dari prosedur hibrida baru akan dikemukakan, sebelum prosedur yang diusulkan dibahas; tahap demi tahap. Menggunakan data Indonesia, dua model input-output antardaerah kemudian dihasiikan. Pengujian validitas model menunjukkan bahwa prosedur yang digagas menghasilkan model input-output antardaerah yang dalam batas tertentu mencerminkan karakteristik perekonomian kepulauan Indonesia.

This paper analyses technical efficiency and return to scale in the Indonesia economy during the year of 1967 to 2013. These range of years covering two eras of Indonesian government; the New Order era that lasted between the year of 1966 to 1998 and the Reformation era during the year 1998 to 2014. The analysis was also based on the Indonesia economy’s business cycle those categorised as Oil Booming Phase (1967-1981), Recession Phase (1982-1986), Deregulation Phase (1987-1996), Multidimension Crisis Phase (1997-2001) and Economic Recovery Phase (2002-2013). Using data on Gross Domestic Product based on constant price of the year 2000, capital stock with the same based year and employment (1967-2013), Cobb-Douglas production functions were exercised to calculate technical efficiency and return to scale employing regression analysis tehniques. The results shows that technical effiency during the New Order Goverment were better than those during Reformation Goverment. The results also showed that technical efficiencies vary among phases in the Indonesian economy.

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.

Sepanjang sejarah, teknologi telah memberikan pengaruh yang mendalam bagi perkembangan kemanusiaan dan kemajuan peradaban. Dibutuhkan waktu sekitar 2 juta tahun untuk mengubah kebiasaan manusia bercocok tanam dari peladang berpindah menjadi petani yang memanfaatkan peralatan dan menggunakan tenaga hewan. Kemajuan ini secara signifikan membawa perubahan bagi peradaban manusia. Beberapa ribu tahun kemudian telah disaksikan munculnya teknologi roda, kincir dan peralatan-peralatan mekanis. Kurang dari dua abad yang lalu mesin uap dan sistem pabrik telah mendorong dimulainya revolusi industri, Energi dihasilkan dari air, dari tenaga mekanis, listrik dan nuklir sehingga memungkinkan umat manusia untuk melakukan perubahan dalam cara hidupnya. Belum pernah ada dalam sejarah dimana teknologi mempunyai peran yang begitu besar dalam kehidupan manusia, seperti halnya sekarang ini. Teknologi telah merambah ke dalam segala aspek kehidupan manusia. Keberhasilan kegiatan pemerintah, perusahaan global, perusahaan swasta dan individual sangat bergantung kepada teknologi. Tingkat kemajuan teknologi dan ketergantungan masyarakat terhadap teknologi telah mempercepat pergerakan dunia menuju abad 21

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.