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Dr M Muchdie

Universitas Muhammadiyah Prof.Hamka, MANAGEMENT, Faculty Member

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Department of Management, Post Graduate School, Universitas Muhammadiyah Prof. DR. HAMKA
Jl. Buncit Raya 17, Pancoran, Jakarta Selatan
Indonesia 12790
Phone: +62-818-0704-5737
Address: Jl. Buncit Raya No. 17, Pancoran, Jakarta Selatan
Jl. Limau II, Kebayoran Baru, Jakarta Selatan

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Regional Statistics

Hungarian Central Statistical Office

Marwan Zam Mili ST., MT

Universitas Islam Bandung

inayati nuraini dwiputri

Universitas Gadjah Mada (Yogyakarta)

London School of Economics and Political Science

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Papers by Dr M Muchdie

Technology Contribution to the Indonesian Regional Economy

by Dr M Muchdie and Socia Prihawantoro

This paper aimed to analyze the contribution of technology to Indonesian regional economy. Growth... more This paper aimed to analyze the contribution of technology to Indonesian regional economy. Growth accounting method was employed using data on GDRP, regional/provincial capital accumulation and regional/provincial employment from during the year of 2002 to 2010. The contribution of factors and technology to Indonesian regional economy were analyzed and presented. The results show that the contribution of technology to Indonesian economy, on average during 2002-2010 at national level, was 24.4 per cent. Spatially, the contribution of technology to Indonesian regional economy varies among Island as well as among provinces within island. The highest contribution of technology was by Java Island (39.77%) followed by Bali-Nusa Tenggara Island (35.39%). The lowest technology contribution was in Kalimantan Island (12.82%). In Java Island, the highest contribution of technology was in the East Java Province (49.63%) and the lowest contribution was in the Special Province of Yogyakarta (28.3...

Indeks Iklim Teknologi Wilayah

Iklim pengembangan teknologi merupakan faktor yang perlu dipertimbangkan dalam proses transformas... more 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 dipe...

Happiness and Islamicity

This paper analysis relation andimpacts of Islamicity on happiness, with human development and gl... more This paper analysis relation andimpacts of Islamicity on happiness, with human development and global competitiveness as moderating variables.Cross-nations data on Islamicity, human development, global competitiveness and happiness were collected from 123 countries and employed in a path analysis model. The result showed that there were positive and very strong correlations between Islamicity and happiness (r14= 0.81), between global competitiveness and happiness (r34= 0.76), and between human development and happiness (r24= 0.82). Path coefficients indicated that direct impact of Islamicity on happiness was positive and significant (P41= 0.36), direct impact of global competitiveness on happiness was positive and significant (P43= 0.06), direct impact of human development on happiness was positive and significant (P42= 0.46). Indirectly, the impact of Islamicity on happiness, through global competitiveness was positive, but statistically not significant (P43-P31= 0.04), the impact ...

The spatial structure of the island economy of Indonesia : an inter-regional input-output study

Many individuals and institutions have been involved in the research reported in this monograph. ... more Many individuals and institutions have been involved in the research reported in this monograph. Without their generosity and support, this work would never have reached it present form. I would like to offer my most sincere gratitude to whom I am indebted but whose name are not mention here. I would also like to extend my deapest appreciation to two governments : the Government of Indonesia, especially for the Agency for Assessment and Application of Technology; and tge Government of Australia and Aus-AID. These institutions gave me the opportunity for further study in Australia. Their generosity has enable myself and my family to stay in Brisbane during the years of study at The University of Queensland.

Sectoral Variations on Technical Efficiency and Return to Scale in the Indonesian Economy

SIGNIFIKAN: Jurnal Ilmu Ekonomi, 2016

This paper discusses on sectoral variations of technical effciency and return to scale in the Ind... more This paper discusses on sectoral variations of technical effciency and return to scale in the Indonesian economy. Employing regression analysis of Cobb-Douglas production function, thesecoefficientswere calculated. Nine economic sectors in the Indonesian economy: Agriculture, Mining and Quarying, Manufacturing, Electricity,Gas and Drinking Water, Construction, Trade, Hotel and Restaurant, Transportation and Communication, Finance, Rental and Corporate Services, and Services, were exercised to study the variation of those coefficiens. Sectoral data on gross domestic product, capital stock and employment are those from the years 1967 to 2007 collected from many documents available at the National Statistics Agency. The result shows that the coeffiecients of technical efficiency do vary among sectors. Those sectors in which the coefficients were above that at the national level, experienced decreasing return to scale. On the contrary, those sectors in which the coeffiecients were below...

Inflasi, Pengangguran Dan Pertumbuhan Ekonomi DI Negara-Negara Islam

T his paper discuss on inflation, unemployment and economic growth in Islamic State Nations. Ther... more T his 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 Muslim- majority 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 Isla...

Technical and Trade Coefficients in China and in Usa Economies: Are They Different?

International Journal of Advanced Research, 2017

This paper compared technical coefficients and trade coefficients in China economy to those in th... more This paper compared technical coefficients and trade coefficients in China economy to those in the USA economy based on 30-sector classification of world input-output tables of the year of 2000, 2005 and 2010. The results showed that China economy had higher technical coefficient than that of USA economy, and it was statistically significant. USA economy used less input to produce output compared to that of China economy. Based on trade coefficients, this study showed that USA economy had higher domestic component than China economy did. This difference was statistically significant. USA economy, technically, worked more efficiently; and USA economy used more domestic input than China economy did. This paper also revealed that correlation between technical coefficient and domestic component was not conclusive, as data from China proved that the correlation was positively weak, while data from USA revealed that the correlation was negatively very strong.

Human Development, Global Competitiveness and Happiness: A Cross-Nation Path Analysis

International Journal of Advanced Research, 2017

This paper is aimed to report a research that analyse the relation between human development, glo... more This paper is aimed to report a research that analyse the relation between human development, global competitiveness and happiness as well as the impact of human development, both direct and indirect impacts, on happiness, with global competitiveness as moderator variable. Cross-nation data on human development, global competitiveness and happiness indices were collected from 123 countries and employed in a path analysis model. The results show that the correlation between human development and happiness was positive and very strong. The countries that had high happiness index were the countries with high human development index. The correlation between human development and global competitiveness was positive and very strong. The correlation between global competitiveness and happiness was also positive and strong. The direct impact of human development on happiness was positive and significant. The indirect impact of human development on happiness, again, was positive and significant. It is then suggested that human development sustainably be promoted in order to make nations competitive globally and then make the people happy.

Spatial Dimension of Multipliers and Flow-On Effects in Java Island Economy: An Inter-Island Input-Output Analysis

This paper is aimed to provide the results of analysis on total, sector-specific, and spatial-spe... more This paper is aimed to provide the results of analysis on total, sector-specific, and spatial-specific multipliers and flow-on effects in Java Island economy. The model employed was Inter-Island Input-Output Model (IIIOM) developed using new hybrid procedures with special attention on 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 Java 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; multipliers that occurred in own sector and other sectors. Thirdly, important economic sectors could be based on spatial-specific 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.

Sector and Spatial-Specific Multipliers in Nusatenggara Islands’ Economy: An Inter-Island Inputoutputanalysis

This paper aimed to provide the results of analysis on total and flow-on multipliers, sectorspeci... more This paper aimed to provide the results of analysis on total and flow-on multipliers, sectorspecific, and spatial-specific multipliers in Nusa Tenggara Islands’ economy, mainly for planning and evaluation purposes. These Islands consist of three provinces: Bali, West Nusa Tenggara and East Nusa Tenggara. The model employed was Inter-Island Input-Output Model (IIIOM) 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 Nusa Tenggara 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 spatial-specific multipliers; multipliers that occurred both in own region and other regions. Fou...

Technical and Trade Coefficients in Indonesian and Australian Economies: A Comparison

Global journal for research analysis, 2017

This paper compared technical coefficients and trade coefficients in Indonesian economy to those ... more This paper compared technical coefficients and trade coefficients in Indonesian economy to those in Australian economy, based on 30-sector classication of world input-output tables of the year of 2000, 2005 and 2010. The results showed that Indonesian economy had lower technical coefficient than that of Australian economy, but statistically it was not signicant. Indonesian economy used less input to produce output compared to that of Australian economy. Indonesian technical index, an inverse of technical coefficient, was higher than that of Australian and again it was not statistically signicant. Based on trade coefficients, this study showed that Australian economy had higher domestic component than Indonesian economy did. This difference was statistically signicant. Indonesian economy, technically, worked more efficiently; but Australian economy used more domestic input. This paper also revealed that technical coefficient had a positive correlation with import component and techni...

The Impacts of Technological Progress on Humandevelopment: Evidence from Indonesia

The research reported in this paper aimed to analyse the impacts of technological progress on hum... more 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 impac...

Balance of Trade Analysis Based on World Input-Output Database: Australian Economy 2000, 2005, 2010 and 2014

Based on the World Input-Output Database, this paper calculates trade balance in Australian econo... more Based on the World Input-Output Database, this paper calculates trade balance in Australian economy for the year 2000, 2005, 2010 and 2014. The results showed that, firstly, Australian export had increased significantly during 2000, 2005, 2010 and 2014. Secondly, Australian import had also increased significantly during the period. Important sectors and countries’ trade partners of Australian export and import were indicated. Thirdly, trade balances in Australian economy were surpluses in all years of study. Sectors and countries in which trade balances were deficits and surpluses have also been clearly indicated. There were 7 countries and 7 sectors in which Australian had experienced trade surpluses in all years; there were 7 countries and 17 sectors in which Australian had experienced trade deficits in all years of study.

Giriot Revisited: Up-Dated and Evaluated

This paper reported an evaluated of a hybrid procedure in GIRIOT (Generation Inter-Regional Input... more This paper reported an evaluated of a hybrid procedure in GIRIOT (Generation Inter-Regional Input-Output Table) applied for an Island economy of Indonesia. The model was then up-dated using Indonesian data for the year 2015. GIRlOT combines and modifies the GRIT II and GRIT III procedures developed at The University of Queensland. At least three aspects of the new procedure are different to GRIT; the hybrid procedure designed for a mainland economy in a developed country. GRIT uses national technical coefficients. GIRlOT adjusts regional technology differences since in an island country like Indonesia; regional diversity exists in its ecology, economy and culture. GRIT uses LQ (Location Quotient) techniques. GIRIOT estimates the intra-regional input coefficients by employing the generalised RSP (Regional Supply Percentage) and uses column-only as well as row-only approaches. The two approaches are then reconciled. GIRlOT also estimates the inter-regional input coefficients using the...

Economic Growth, Human Development and Global Competitivenss

This paper analysis direct and indirect impact of economic growth on global competitiveness, with... more 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.

Keberartian Sektor Industri DI Pulau Jawa Dalam Perekonomian Indonesia :Analisis Input-Output Antardaerah

The island of Java is significantly important for the Indonesian economy as the national economy ... more 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.

The Impact of Technological Progress on Indonesia’Sglobal Competitiveness: A Time Series Path Analysis

This paper analysis direct and indirect impacts of technological progress on Indonesia’s global c... more 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-...

Import Components and Import Multipliers in Indonesian Economy: World Input-Output Analysis

Jurnal Ekonomi dan Studi Pembangunan, 2018

This paper calculates, presents and discusses on import components and the impact of final demand... more This paper calculates, presents and discusses on import components and the impact of final demand change on Indonesian imports using Indonesian 36 sector input-output tables of years: 2000, 2005, 2010 and 2014 from World Input-Output Tables. The results showed that firstly, Indonesian import components of input were, on average, more than 20 percent; meaning that input that locally provided were less than 80 percent. Secondly, Indonesian import of input had increased significantly from US$ 36,011 million in 2000 to US$ 151,505 million in 2014. Thirdly, Indonesian imports have been dominated by Sector-3: Manufacture of food products, beverages and tobacco products, Sector-4: Manufacture of textiles, wearing apparel and leather products, Sector-24: Construction, Sector-25: Wholesale and retail trade and repair, and Sector-26: Transportation and post services. Fourthly, by country of origin, Indonesian imports have been dominated by Japan, Korea, the USA, Australia, and China. Imports from Australia, Japan, and the US have been decreased significantly, but import from China has steadily increased. Finally, highest sectoral import multipliers occurred if final demands change in Sector-1: Crop and animal production, forestry, fishing and aquaculture, Sector-2: Mining and quarrying, Sector-23: Water collection; sewerage; waste collection, treatment and disposal activities, and Sector-30: Real estate activities, but there was no significant difference of import multipliers for country origin of import.

Economic Growth and Happiness: A Cross-Nations Path Analysis Model

International Journal of Science and Research (IJSR), Jan 5, 2017

This paper directly and indirectly examines the impact of economic growth on happiness, with huma... more 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.

Sector-Specific and Spatial-Specific Multipliers in Indonesian Economy: World Input-Output Analysis

Jurnal Ekonomi Pembangunan: Kajian Masalah Ekonomi dan Pembangunan, 2018

This article discusses on sectoral-specific and spatial-specific multipliers in Indonesian econom... more This article discusses on sectoral-specific and spatial-specific multipliers in Indonesian economy using 6-country-30 sector input-output tables for the year 2000, 2005, 2010 and 2014. The result shows that firstly, in all years, there were 20 sectors with total output multipliers more than 2. Flow-on effects were higher than initial effects. These sectors should be prioritized if increasing of total output is the objective of Indonesian economic development as total output will be created with less intial efforts. Secondly, in the year of 2000, average percentage of multipliers occurred in own-sector was 56.23 per cent, and increase slightly in 2005 (57.38%) dan 2010 (58.93%), but decrease in 2014 (57.98%). Correlation between total output multipliers and percentage of multipliers occurred in other-sector was positive and very strong. The higher total output multipliers, the higher percentage of multipliers occurred in other-sector. Thirdly, in the year of 2000, average percentage...

Technology Contribution to the Indonesian Regional Economy

by Dr M Muchdie and Socia Prihawantoro

This paper aimed to analyze the contribution of technology to Indonesian regional economy. Growth... more This paper aimed to analyze the contribution of technology to Indonesian regional economy. Growth accounting method was employed using data on GDRP, regional/provincial capital accumulation and regional/provincial employment from during the year of 2002 to 2010. The contribution of factors and technology to Indonesian regional economy were analyzed and presented. The results show that the contribution of technology to Indonesian economy, on average during 2002-2010 at national level, was 24.4 per cent. Spatially, the contribution of technology to Indonesian regional economy varies among Island as well as among provinces within island. The highest contribution of technology was by Java Island (39.77%) followed by Bali-Nusa Tenggara Island (35.39%). The lowest technology contribution was in Kalimantan Island (12.82%). In Java Island, the highest contribution of technology was in the East Java Province (49.63%) and the lowest contribution was in the Special Province of Yogyakarta (28.3...

Indeks Iklim Teknologi Wilayah

Iklim pengembangan teknologi merupakan faktor yang perlu dipertimbangkan dalam proses transformas... more 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 dipe...

Happiness and Islamicity

This paper analysis relation andimpacts of Islamicity on happiness, with human development and gl... more This paper analysis relation andimpacts of Islamicity on happiness, with human development and global competitiveness as moderating variables.Cross-nations data on Islamicity, human development, global competitiveness and happiness were collected from 123 countries and employed in a path analysis model. The result showed that there were positive and very strong correlations between Islamicity and happiness (r14= 0.81), between global competitiveness and happiness (r34= 0.76), and between human development and happiness (r24= 0.82). Path coefficients indicated that direct impact of Islamicity on happiness was positive and significant (P41= 0.36), direct impact of global competitiveness on happiness was positive and significant (P43= 0.06), direct impact of human development on happiness was positive and significant (P42= 0.46). Indirectly, the impact of Islamicity on happiness, through global competitiveness was positive, but statistically not significant (P43-P31= 0.04), the impact ...

The spatial structure of the island economy of Indonesia : an inter-regional input-output study

Many individuals and institutions have been involved in the research reported in this monograph. ... more Many individuals and institutions have been involved in the research reported in this monograph. Without their generosity and support, this work would never have reached it present form. I would like to offer my most sincere gratitude to whom I am indebted but whose name are not mention here. I would also like to extend my deapest appreciation to two governments : the Government of Indonesia, especially for the Agency for Assessment and Application of Technology; and tge Government of Australia and Aus-AID. These institutions gave me the opportunity for further study in Australia. Their generosity has enable myself and my family to stay in Brisbane during the years of study at The University of Queensland.

Sectoral Variations on Technical Efficiency and Return to Scale in the Indonesian Economy

SIGNIFIKAN: Jurnal Ilmu Ekonomi, 2016

This paper discusses on sectoral variations of technical effciency and return to scale in the Ind... more This paper discusses on sectoral variations of technical effciency and return to scale in the Indonesian economy. Employing regression analysis of Cobb-Douglas production function, thesecoefficientswere calculated. Nine economic sectors in the Indonesian economy: Agriculture, Mining and Quarying, Manufacturing, Electricity,Gas and Drinking Water, Construction, Trade, Hotel and Restaurant, Transportation and Communication, Finance, Rental and Corporate Services, and Services, were exercised to study the variation of those coefficiens. Sectoral data on gross domestic product, capital stock and employment are those from the years 1967 to 2007 collected from many documents available at the National Statistics Agency. The result shows that the coeffiecients of technical efficiency do vary among sectors. Those sectors in which the coefficients were above that at the national level, experienced decreasing return to scale. On the contrary, those sectors in which the coeffiecients were below...

Inflasi, Pengangguran Dan Pertumbuhan Ekonomi DI Negara-Negara Islam

T his paper discuss on inflation, unemployment and economic growth in Islamic State Nations. Ther... more T his 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 Muslim- majority 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 Isla...

Technical and Trade Coefficients in China and in Usa Economies: Are They Different?

International Journal of Advanced Research, 2017

This paper compared technical coefficients and trade coefficients in China economy to those in th... more This paper compared technical coefficients and trade coefficients in China economy to those in the USA economy based on 30-sector classification of world input-output tables of the year of 2000, 2005 and 2010. The results showed that China economy had higher technical coefficient than that of USA economy, and it was statistically significant. USA economy used less input to produce output compared to that of China economy. Based on trade coefficients, this study showed that USA economy had higher domestic component than China economy did. This difference was statistically significant. USA economy, technically, worked more efficiently; and USA economy used more domestic input than China economy did. This paper also revealed that correlation between technical coefficient and domestic component was not conclusive, as data from China proved that the correlation was positively weak, while data from USA revealed that the correlation was negatively very strong.

Human Development, Global Competitiveness and Happiness: A Cross-Nation Path Analysis

International Journal of Advanced Research, 2017

This paper is aimed to report a research that analyse the relation between human development, glo... more This paper is aimed to report a research that analyse the relation between human development, global competitiveness and happiness as well as the impact of human development, both direct and indirect impacts, on happiness, with global competitiveness as moderator variable. Cross-nation data on human development, global competitiveness and happiness indices were collected from 123 countries and employed in a path analysis model. The results show that the correlation between human development and happiness was positive and very strong. The countries that had high happiness index were the countries with high human development index. The correlation between human development and global competitiveness was positive and very strong. The correlation between global competitiveness and happiness was also positive and strong. The direct impact of human development on happiness was positive and significant. The indirect impact of human development on happiness, again, was positive and significant. It is then suggested that human development sustainably be promoted in order to make nations competitive globally and then make the people happy.

Spatial Dimension of Multipliers and Flow-On Effects in Java Island Economy: An Inter-Island Input-Output Analysis

This paper is aimed to provide the results of analysis on total, sector-specific, and spatial-spe... more This paper is aimed to provide the results of analysis on total, sector-specific, and spatial-specific multipliers and flow-on effects in Java Island economy. The model employed was Inter-Island Input-Output Model (IIIOM) developed using new hybrid procedures with special attention on 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 Java 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; multipliers that occurred in own sector and other sectors. Thirdly, important economic sectors could be based on spatial-specific 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.

Sector and Spatial-Specific Multipliers in Nusatenggara Islands’ Economy: An Inter-Island Inputoutputanalysis

This paper aimed to provide the results of analysis on total and flow-on multipliers, sectorspeci... more This paper aimed to provide the results of analysis on total and flow-on multipliers, sectorspecific, and spatial-specific multipliers in Nusa Tenggara Islands’ economy, mainly for planning and evaluation purposes. These Islands consist of three provinces: Bali, West Nusa Tenggara and East Nusa Tenggara. The model employed was Inter-Island Input-Output Model (IIIOM) 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 Nusa Tenggara 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 spatial-specific multipliers; multipliers that occurred both in own region and other regions. Fou...

Technical and Trade Coefficients in Indonesian and Australian Economies: A Comparison

Global journal for research analysis, 2017

This paper compared technical coefficients and trade coefficients in Indonesian economy to those ... more This paper compared technical coefficients and trade coefficients in Indonesian economy to those in Australian economy, based on 30-sector classication of world input-output tables of the year of 2000, 2005 and 2010. The results showed that Indonesian economy had lower technical coefficient than that of Australian economy, but statistically it was not signicant. Indonesian economy used less input to produce output compared to that of Australian economy. Indonesian technical index, an inverse of technical coefficient, was higher than that of Australian and again it was not statistically signicant. Based on trade coefficients, this study showed that Australian economy had higher domestic component than Indonesian economy did. This difference was statistically signicant. Indonesian economy, technically, worked more efficiently; but Australian economy used more domestic input. This paper also revealed that technical coefficient had a positive correlation with import component and techni...

The Impacts of Technological Progress on Humandevelopment: Evidence from Indonesia

The research reported in this paper aimed to analyse the impacts of technological progress on hum... more 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 impac...

Balance of Trade Analysis Based on World Input-Output Database: Australian Economy 2000, 2005, 2010 and 2014

Based on the World Input-Output Database, this paper calculates trade balance in Australian econo... more Based on the World Input-Output Database, this paper calculates trade balance in Australian economy for the year 2000, 2005, 2010 and 2014. The results showed that, firstly, Australian export had increased significantly during 2000, 2005, 2010 and 2014. Secondly, Australian import had also increased significantly during the period. Important sectors and countries’ trade partners of Australian export and import were indicated. Thirdly, trade balances in Australian economy were surpluses in all years of study. Sectors and countries in which trade balances were deficits and surpluses have also been clearly indicated. There were 7 countries and 7 sectors in which Australian had experienced trade surpluses in all years; there were 7 countries and 17 sectors in which Australian had experienced trade deficits in all years of study.

Giriot Revisited: Up-Dated and Evaluated

This paper reported an evaluated of a hybrid procedure in GIRIOT (Generation Inter-Regional Input... more This paper reported an evaluated of a hybrid procedure in GIRIOT (Generation Inter-Regional Input-Output Table) applied for an Island economy of Indonesia. The model was then up-dated using Indonesian data for the year 2015. GIRlOT combines and modifies the GRIT II and GRIT III procedures developed at The University of Queensland. At least three aspects of the new procedure are different to GRIT; the hybrid procedure designed for a mainland economy in a developed country. GRIT uses national technical coefficients. GIRlOT adjusts regional technology differences since in an island country like Indonesia; regional diversity exists in its ecology, economy and culture. GRIT uses LQ (Location Quotient) techniques. GIRIOT estimates the intra-regional input coefficients by employing the generalised RSP (Regional Supply Percentage) and uses column-only as well as row-only approaches. The two approaches are then reconciled. GIRlOT also estimates the inter-regional input coefficients using the...

Economic Growth, Human Development and Global Competitivenss

This paper analysis direct and indirect impact of economic growth on global competitiveness, with... more 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.

Keberartian Sektor Industri DI Pulau Jawa Dalam Perekonomian Indonesia :Analisis Input-Output Antardaerah

The island of Java is significantly important for the Indonesian economy as the national economy ... more 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.

The Impact of Technological Progress on Indonesia’Sglobal Competitiveness: A Time Series Path Analysis

This paper analysis direct and indirect impacts of technological progress on Indonesia’s global c... more 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-...

Import Components and Import Multipliers in Indonesian Economy: World Input-Output Analysis

Jurnal Ekonomi dan Studi Pembangunan, 2018

This paper calculates, presents and discusses on import components and the impact of final demand... more This paper calculates, presents and discusses on import components and the impact of final demand change on Indonesian imports using Indonesian 36 sector input-output tables of years: 2000, 2005, 2010 and 2014 from World Input-Output Tables. The results showed that firstly, Indonesian import components of input were, on average, more than 20 percent; meaning that input that locally provided were less than 80 percent. Secondly, Indonesian import of input had increased significantly from US$ 36,011 million in 2000 to US$ 151,505 million in 2014. Thirdly, Indonesian imports have been dominated by Sector-3: Manufacture of food products, beverages and tobacco products, Sector-4: Manufacture of textiles, wearing apparel and leather products, Sector-24: Construction, Sector-25: Wholesale and retail trade and repair, and Sector-26: Transportation and post services. Fourthly, by country of origin, Indonesian imports have been dominated by Japan, Korea, the USA, Australia, and China. Imports from Australia, Japan, and the US have been decreased significantly, but import from China has steadily increased. Finally, highest sectoral import multipliers occurred if final demands change in Sector-1: Crop and animal production, forestry, fishing and aquaculture, Sector-2: Mining and quarrying, Sector-23: Water collection; sewerage; waste collection, treatment and disposal activities, and Sector-30: Real estate activities, but there was no significant difference of import multipliers for country origin of import.

Economic Growth and Happiness: A Cross-Nations Path Analysis Model

International Journal of Science and Research (IJSR), Jan 5, 2017

This paper directly and indirectly examines the impact of economic growth on happiness, with huma... more 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.

Sector-Specific and Spatial-Specific Multipliers in Indonesian Economy: World Input-Output Analysis

Jurnal Ekonomi Pembangunan: Kajian Masalah Ekonomi dan Pembangunan, 2018

This article discusses on sectoral-specific and spatial-specific multipliers in Indonesian econom... more This article discusses on sectoral-specific and spatial-specific multipliers in Indonesian economy using 6-country-30 sector input-output tables for the year 2000, 2005, 2010 and 2014. The result shows that firstly, in all years, there were 20 sectors with total output multipliers more than 2. Flow-on effects were higher than initial effects. These sectors should be prioritized if increasing of total output is the objective of Indonesian economic development as total output will be created with less intial efforts. Secondly, in the year of 2000, average percentage of multipliers occurred in own-sector was 56.23 per cent, and increase slightly in 2005 (57.38%) dan 2010 (58.93%), but decrease in 2014 (57.98%). Correlation between total output multipliers and percentage of multipliers occurred in other-sector was positive and very strong. The higher total output multipliers, the higher percentage of multipliers occurred in other-sector. Thirdly, in the year of 2000, average percentage...

Technological Chage and Poverty-Learned from Indonesia's Experiences.

This paper examined the impact of technological change on poverty alleviation, with unemployment ... more 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).
Keywords: technological change, unemployment, economic growth, poverty alleviation, direct and indirect impacts.