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.

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 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 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

Dibutuhkan pendekatan strategis terhadap masalah membangun kekayaan wilayah, dimana para pemimpin wilayah tersebut perlu mengembangkan visi, misi, kebijakan-kebijakan, dan struktur-struktur yang membimbing terhadap usaha-usaha pengembangan perekonomian wilayah. Manajemen strategis dapat dijadikan sebagai pendekatan. Konsep ini telah banyak diterapkan pada tingkat perusahaan dalam rangka memberikan arah perjalanan perusahaan tersebut di masa depan. Dengan pendekatan manajemen strategis tadi, perencana wilayah perlu merumuskan langkah demi langkah untuk menentukan jalur terbaik dalam mencapai tujuan pengembangan perekonomian wilayah.

Konsep keterpaduan program pembangunan ekonomi menjadi semakin penting dalam era otonomi daerah. Secara ideal, output dari suatu program pembangunan bisa menjadi input bagi program pembangunan lainnya. Program pembangunan yang bersifat "ego-sektor" semakin tidak populer karena diyakini akan merugikan kepentingan pembangunan secara keseluruhan. Dalam perekonomian yang lebih luas, hubungan antar kegiatan ekonomi juga menunjukkan keterkaitan yang semakin kuat dan dinamis. Jenis-jenis kegiatan baru bermunculan untuk mengisi kekosongan mata rantai kegiatan yang semakin panjang dan kait mengait. Kemajuan di suatu sektor tidak mungkin dapat dicapai tanpa dukungan sektor-sektor lain. Begitu juga sebaiiknya, hilangnya kegiatan suatu sektor akan berdampak terhadap kegiatan sektor lain. Berbagai hubungan antarkegiatan ekonomi (interindustry relationship) selanjutnya dapat direkarn dalam suatu instrumen yang dikenal dengan model input-output (IO).

Teknologi merupakan mesin bagi pertumbuhan ekonomi. Dipelopori oleh Abramovitz (1956) dan Solow (1957), para peneliti telah menemukan bahwa kemajuan teknologi merupakan hal yang sangat penting bagi proses pertumbuhan ekonomi. Bahkan, kajian yang paling baru mengungkapkan bahwa sejumlah besar keragaman pendapatan dapat dijelaskan oleh keragaman dalam penggunaan teknologi. Akan tetapi, akan dibutuhkan waktu bagi sebuah teknologi baru untuk memberikan kontribusi ekonomi yang signifikan. Terdapat dua proses penting agar teknologi bermanfaat bagi masyarakat. Pertama, teknologi haruslah dikaitkan dengan kegiatan ekonomi. Ini merupakan proses inovasi, dimana temuan teknologi baru diaplikasikan pada kegiatan ekonomi. Kemudian, teknologi haruslah diadopsi oleh masyarakat. Proses ini disebut dengan proses difusi

Telah banyak penelitian yang membahas tentang globalisasi (globalization), penyesuaian structural (structural adjustment) dan daya saing perekonomian (economic competitiveness) negara-negara di dunia (Porter 1990; Dicken, 1992). Akan tetapi, walaupun daya saing internasional Negara-negara telah seringkali dikaji, sangat sedikit penelitian yang dilakukan untuk mengevaluasi daya saing perekonomian wilayah. Padahal, wilayah-wilayahlah, bukan lagi negara, yang merupakan penghela pembangunan ekonomi. Memahami daya saing wilayah menjadi sangat penting bagi setiap wilayah yang sedang menyusun rencana strategis (strategic planning), terutama untuk memacu pembangunan ekonomi dan memperluas pasar pada perekonomian global.

Anutan pembangunan Indonesia selama lebih kurang tiga dasawarsa terakhir adalah meningkatkan peranan sektor industri dalam struktur perekonomian nasional, karena diyakini bahwa industrialisasi mempunyai peran yang signifikan untuk peningkatan kesejahteraan masyarakat (Poot, Kuyvenhoven dan Jansen, 1991). Hasilnya adalah peningkatan sumbangan sektor industri terhadap perekonomian nasional yang cukup besar, dari sekitar 20% pada dasawarsa 60-an menjadi sekitar 40% dalam dasawarsa 90-an (Hill, 1994; Basri, 1996). Pertumbuhan ekonomi per tahun selama lima tahun pertama dalam dasawarsa 90-an mencapai angka 6% per tahun, dengan pertumbuhan sektor industri mencapai 12% per tahun (Sjahrir dan Brown, 1992). Dari aspek distribusi, permasalahan utama yang perlu dipertanyakan adalah tentang siapa sebenarnya yang menerima manfaat dari pertumbuhan sektor industri ini. Dengan melakukan analisis terhadap data Sistem Neraca Sosial Ekonomi (SNSE) Indonesia tahun 1993 (BPS, 1994), studi ini mencoba meneliti aliran manfaat pertumbuhan ekonomi dalam periode industrialisasi tersebut. Dalam studi ini akan dibandingkan antara manfaat pertumbuhan ekonomi, khususnya yang berasal dari sektor industri, yang diterima masyarakat perkotaan dengan yang diterima masyarakat perdesaan. Pada masyarakat perdesaan akan dibandingkan manfaat pertumbuhan ekonomi yang diterima oleh berbagai lapisan masyarakat, yakni: masyarakat pertanian dan bukan pertanian. Di dalam masyarakat pertanian akan dibandingkan manfaat yang diterima rumah tangga pertanian golongan atas, menengah, bawah dan buruh tani.

This paper reports an analysis of technical efficiency and returns to scale in the Indonesia economy during 1983-2013 with special attention to the spatial dimension of the economy. The study focused on seven group of islands: Sumatera (10 Provinces), Java (6 Provinces), Kalimantan (4 Provinces), Sulawesi (6 Provinces), Bali-Nusa Tenggara (3 Provinces), and Maluku (2 Provinces) and Papua (2 Provinces). Cobb Douglass production function was employed to calculate technical efficiency and return to scale using regression analysis. Time series data during 1983-2013 on Gross Regional Domestic Bruto, Capital Stock, and Employment were collected from many sources at the National Statistics Agency. The results show that technical efficiency in production varies among regions. Provinces with coefficients of technical efficiency below that at national level exhibited increasing return to scale. Otherwise, the Provinces with coefficients of technical efficiency above that at national level exhibited decreasing return to scale.