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This paper provides new evidence for a causal effect of asset growth on stock returns by using decomposition method. The sample used in this research is non-financial manufacturing firms listed in Indonesia Stock Exchange (IDX) in the year of 2010 - 2015. The asset growth testing was done by conducting regression analysis. The paper results were indicated by using decomposition method for a causal effect of asset growth, book-to-market, and firm size on stock return. In addition, assets and liabilities decomposition known that the growth of fixed assets and retained earnings have a positive influence to return firms. The result by decomposition method asset growth has a positive effect on stock returns, or in other words, the higher the asset growth, the higher the stock return. Others, the cash growth negatively affect to stock returns at the time of the asset and operating liabilities have a negative significant effect on stock returns. The decomposition method asset growth has a positive effect on stock returns, in other words, the higher the asset growth, the higher the stock return. At last, the cash growth negatively affects to stock returns at the time of the asset and operating liabilities have a negative significant effect on stock returns. [ABSTRACT FROM AUTHOR]

This paper examines economic growth and .structural change in Indonesia during the period 1975-2000 using an input-output-based structural change decomposition method. The analysis focuses on the sources and pattern of growth during three phases of economic development: the inward-oriented phase from 1975 to 1985; the outward-oriented phase from 1985 to 1995; and the recent phase of crisis and recovery from 1995 to 2000. Growth during the first phase, although impressive, was moderate in comparison with the export-led manufacturing-driven growth during the second phase. During both these phases, the Indonesian economy witnessed significant structural changes, especially within manufacturing. However, the dynamics underlying growth and structural change showed important differences. Although growth under the first two policy regimes was assisted by favourable economic circumstances, selective industrial policies may also have played a significant role. The results suggest that the long neglect of the technological foundations and human capital base of the economy could be holding back recovery and sustained growth in the present phase. [ABSTRACT FROM AUTHOR]

Considering the rapid development of the global digital industry and the need for sustainable development and climate change, this paper explores the global ICT-embodied CO 2 emissions changes and intensities from 2000 to 2014, and the driving factors behind ICT-embodied CO 2 emissions changes in 15 countries by using the multi-regional input–output (MRIO) method and structural decomposition analysis (SDA) method. We also use Monte Carlo simulations to forecast the ICT-embodied CO 2 emissions from 2020 to 2050. The results indicate that: (1) After 2009, global ICT's embodied CO 2 emissions first decline and then increase, and the sector that manufactures computer, electronic, and optical products account for 82.83% of the global ICT's embodied CO 2 emissions in 2014; (2) judging from the emission-reduction trends of various countries, CO 2 emissions intensity factors are the main drivers restricting the growth of embodied CO 2 emissions in the ICT sector, while final demand composition factors play a significant role in promoting the increase of ICT's embodied CO 2 emissions; (3) Australia, Germany, and Indonesia contribute to an increase in ICT's embodied CO 2 emissions due to sectoral heterogeneity, while Canada, China, Germany, and South Korea have contributed to an increase in ICT's embodied CO 2 emissions in terms of regional heterogeneity; (4) the drivers have also changed significantly with the impact of the financial crisis; and (5) with the current pattern of development, it is difficult to reach the peak of ICT-embodied CO 2 emissions in most countries before 2050. This paper also provides feasible implementation plans for carbon mitigation in the global ICT industry. • We analyze the global ICT-embodied CO 2 emissions changes and their driving factors. • The structural decomposition analysis (SDA) method is utilized. • Final demand composition factors play a key role in ICT's embodied CO 2 emissions. • ICT-embodied CO 2 emissions of Australia, Germany, and Indonesia increase due to sectoral heterogeneity. • It is difficult to reach the peak of ICT-embodied CO 2 emissions in most countries before 2050. [ABSTRACT FROM AUTHOR]

Using the bidimensional decomposition method of a population-weighted coefficient of variation, this paper analyzes the changes in the determinants of interprovincial income inequality associated with structural changes in Indonesia from 1983 to 2004. The method unifies two inequality decompositions by regional groups and gross regional product components (industrial sectors) and, therefore, enables us to assess the contributions of gross regional product components to within-region and between-region inequalities, as well as to overall inequality. As the share of mining has decreased, the spatial distribution of manufacturing has played a more important role in the inequality of Sumatra and Kalimantan, while the primacy of Jakarta, with strong urbanization economies, facilitated by globalization and trade and financial liberalization, has determined much of the Java-Bali region's inequality and, therefore, overall inequality in Indonesia. [ABSTRACT FROM AUTHOR]

This study attempts to explore the determinants of interprovincial income inequality in Indonesia from 2005 to 2013 by using a bi-dimensional inequality decomposition method. It tries, particularly, to analyze how economic tertiarization and concurrent output deindustrialization have affected interprovincial inequality. The bi-dimensional inequality decomposition method decomposes interprovincial inequality as measured by the squared population-weighted coefficient of variation in two dimensions, namely, by regional groups and industrial sectors. While deindustrialization has lowered the relative importance of manufacturing in determining overall interprovincial inequality, manufacturing activities are still very unevenly distributed among regions and provinces. The government needs to implement policies that are conducive to the balanced development of non-oil and gas manufacturing industries based on regional comparative advantages and disadvantages, where further development of economic infrastructures and human resources, particularly outside Java-Bali, is essential. Meanwhile, economic tertiarization has raised the importance of service activities in determining overall interprovincial inequality, particularly inequality within Java-Bali. The tertiary sector accounts for more than half of total GDP in Java-Bali, and many service activities, such as IC, banking, business services and private services, are concentrated in Jakarta and neighboring districts. Particularly, with the advancement of IC technologies, the IC sector has been expanding rapidly. Together with banking, business services and private services, further development of the IC sector is likely to increase interprovincial inequality in Java-Bali unless policies that could facilitate geographical dispersion of these service activities are implemented. [ABSTRACT FROM AUTHOR]

This study compares the energy intensity performance in Indonesia to other South East Asia countries such as Vietnam, Thailand, Singapore, The Philippines and Malaysia for the period from 1971 to 2016. For this goal, this research employs a multiplicative Log Mean Divisia Index II method and Spatial-Temporal Index Decomposition Analysis. The manufacturing sector and commercial sector played a key role in the region's economic structures that accounted for around 60% to 80% of the total economic output from 1971 to 2016. The contribution of manufacturing sector increased quite significantly, from 8% in 1971 to a peak of around 31% in 2001, before it fell to 28% in 2016. On the other hand, the contribution of agriculture sector dropped from 49% in 1971 to approximately 17% in 2016. It is demonstrated in this research that the aggregate trend of the changes of energy intensity in these countries in the past forty-five years has been decreasing. For Indonesia, aggregate energy intensity rose steadily by an average of 3% per year from 1971 to 1999, more than doubling over this period, while from 1999 to 2001 energy intensity fell by 1% per annum on average, falling by 17% overall in 2016. Overall, in terms of structure and industry effects on aggregate energy intensity, all these countries showed a shift in industry value added to more energy-intensive industries which also offset by falling within-industry energy intensity. However, the analysis shows that both element of this trend was most pronounced in Indonesia. [ABSTRACT FROM AUTHOR]

We investigate the contributions of various factors in the differences in polarisation across China, India, and Indonesia using micro‐simulation and decomposition methods. Using household expenditure from harmonised data from these countries, China was found to have the highest polarisation, while India has the lowest. Using India as the base country, the differences in the labour market structures in India and Indonesia have a slightly decreasing effect on polarisation. The effects of the differences in demographic composition and expenditure structures/parameters, however, are uncertain. Further, the differences in polarisation between China and Indonesia can be explained mostly by the differences in the expenditure structures. China's expenditure structure tends to increase polarisation, as evidenced by the resulting reduction in the size of the middle class. [ABSTRACT FROM AUTHOR]