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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.

This paper provides and discusses empirical application of the GIR10T (Generation of Inter-Regional Input-Output Tables) procedure; a hybrid technique in constructing regional and inter-regional input-output tables designed for island economy. Regional definitions and sectoral classifications are firstly discussed, then followed by description of data and their sources. Phase by phase application of the procedure is then provided and discussed. The validity of the model is examined by inspecting the proportion of regional imports, the pattern of inter-regional trade flows, .the stability of multipliers, as well as by conducting sensitivity analysis. Finally, some notes regarding the problems and the prospects of the procedure are also stressed.

The research reported in this monograph had two main objectives. The first objective was to assess the relevance, feasibility and practicality of modeling the spatial structure of a developing island economy using a hybrid procedure to generate inter-regional input-output tables. The second objective was to apply the procedure to study the spatial structure of the island economy of Indonesia. The model proved useful for analyzing the spatial structure of the island economy of Indonesia as well as the impact of policy simulations. It offers five further contributions : (1) an evaluation of the current methods used to construct single-region and inter-regional input-output tables in Indonesia; (2) the development of an appropriate hybrid procedure to construct both single-region and inter-regional input-output tables for an island economy in a developing country; (3) an application of the inter-regional input-output model to analyze the spatial structure of Indonesia’s island economy; (4) developmental methods of validating inter-regional input-output tables; and (5) analysis of the sectoral, spatial and spatial-sector significance of an island economy.