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.

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.

Employing the Indonesian input-output tables both as data sources and as method of analysis, this paper discusses production structure, consumption pattern and the role of maize and soybean in the Indonesian economy. The production structure is discussed by showing the structure of input in producing these commodities; the consumption pattern is indicated by the pattern of output distribution; while the role of these commodities in the national economy is indicated by input-output multipliers. Finally, concluding remarks are provided at the end of the paper.

Employing the concept of black-box system operasionalied by input-output model, this paper analyses linkages and the role of tourism sectors in the economy of Bali. After explaining the method of analysis, an example of black box system consist of input, proses and output of tourism sectors is presented based on the input-output table of Bali. This paper then discusses linkages: direct, open and closed linkages of tourism sectors in the economy of Bali. Disaggregated output, income and import multipliers of these sectors are also provided to indicate which sectors involved. Summary and conclusion are finally provided at the end of the paper.

This paper reports a research that aimed to analysis the contribution of technology on Indonesian economy at national, sectoral and spatial perspectives. Growth accounting decomposition technique was employed to calculate the contribution of factors production in the economy. The results showed that, on average, technology contribution to Indonesian economy, in term of TFP growth, was too small (8.79%) if compared to the TFP growth of other countries, especially in the developed countries. Even if compared with the contribution of other factors contribution, such as capital (74.1%) and labor (17.1%). Sectorally, the contribution of technology on Indonesian economy varied among sector. The highest and gave positive contribution were Other Services (72.6%) and Manufacturing (52.6%). The lowest and gave negative contribution were Agriculture (-55.1%) and Financial, Rental and Corporate Services (-38.7%). Spatially, the contribution of technology on Indonesian economy also varied. The highest and gave positive contribution were the Island of Java (47.9%) and Bali-Nusa Tenggara Island (30.4%). The lowest and gave negative contributions were Maluku-Papua Islands (-95.4%) and Kalimantan Island (-24.7%)

This paper proposes a new hybrid procedure for constructing inter-regional input-output model for an island economy, with special reference to Indonesia. Tlteoretical framework of input-output model concerned with regional dimension is firstly discussed. Hybrid techniques for constructing inter-regional input-output table are then critically reviewed. Four important considerations in which the procedure are based upon are stressed before the proposed procedure is fidly described.