Shift Share analysis Indonesia masa pandemi Covid-19

The Corona Virus pandemic threatens the fabric of people's lives in all fields, including in the economic field. This study aims to analyze the shift in the economic sector during the Corona Virus pandemic. This research is a descriptive type of research with a mathematical quantitative approach using the Shift Share analysis tool to analyze sectoral shifts due to the outbreak of the Corona Virus Pandemic. Specifically related to the elements of the shift share analysis, it is found that: overall, all sectors in the five provinces, the value of the effect of national growth is negative; the value of the industrial mix, in the five provinces of Indonesia has the same sectoral characteristics. The industrial mix has a positive value in some sectors and the industrial mix is negative in other sectors; the value of Regional Shares in the five provinces varies considerably. This of course is influenced by the ability of each province to produce; the characteristics of the total effect value vary in each sector in each province. The total effect value is positive, this means that a sector in a province is classified as progressive. The total effect value is negative, this means that a sector in a province is classified as conservative. Suggestions for future researchers are that this research does not include elements of economic agglomeration. If there are researchers who are interested in further research, maybe it can be added related to the elements of economic agglomeration.

Properties of Sand Cement Brick Containing Quarry Dust (SCBQD) and Bacteria Strain

Sand cement brick among favorable building material for low cost house construction due to its low price. Technology development in building material already explored varies waste to be added in improving properties of building materials. Beside that addition of bacteria in building material also proven in literature to improve its properties. In this research addition of bacteria in the cement sand block containing quarry dust (SCBQD) was studied. Several properties namely, compressive strength, depth of carbonation, initial rate of suction (IRS) and water absorption were studied. SCBQD is made from sand, cement, quarry dust and chipping using industrial mix design. In this study, 3% of Enterococcus faecalis (EF) and 5% of Bacillus sp (BSP) bacteria was added in the SCBQD mixes. Three SCBQD mixes were prepared including the control mix without bacteria, SCBQD with 3% EF and SCBQD with 5% BSP. Natural fine aggregate was replaced partially with the quarry dust. 100 mm SCBQD cubes were used to conduct compressive strength, depth of carbonation, initial rate of suction and water absorption test at 7, 14 and 28 days. The experimental results showed that the compressive strength value of SCBQD with addition of bacteria was increased for all curing ages. At 28 days of curing, the compressive strength value for control SCBQD containing quarry without any addition of bacteria is 3.30 MPa, while SCBQD containing quarry dust with addition of 3% of EF bacteria is 3.57 MPa and for SCBQD with 5% of BSP bacteria the value is 4.90 MPa. On the other hand, SCBQD containing 3% EF and 5% BSP gained lower IRS and carbonation depth. Depth of carbonation at 28 days was decreased 9.3% and 20% for SCBQD containing 3% EF and 5% BSP, respectively. Meanwhile, 28-day IRS was reduced 12.9% and 22.6% for SCBQD containing 3% EF and 5% BSP, respectively. In overall, the result shows that, SCBQD with 5% BSP as proven positive and better results when compared to control SCBQD and SCBQD with 3% EF bacteria which is absorb of 12.02% in water absorption. The findings showed that bio-SCBQD containing industrial waste and bacteria has good potential to be used as building material.

Analisis Sektor Basis dan Shift-Share Pekerja Menurut Lapangan Usaha PDRB Propinsi Jawa Timur

The province that was the object of the study was East Java with the reason that it had the highest number of agricultural sector workers among the six provinces in Java island in 2011 and 2017. The first objective of this study was to know the base and non-base sectors in the GRDP by Business Field; the second objective is to examine the development of the sector regionally compared to the national and the competitiveness of the sector. The analytical tools are used: the Location Quotient analysis that is used to analyze the first goal and Shift-share analysis that is used to analyze the second goal. The results of the analysis are: The results of the LQ analysis for East Java province in 2011 and 2017 have the same base activities namely sector 1. Agriculture, Forestry, Hunting and Fisheries; and sector 2. Mining and quarrying. The results of the Shift Share analysis from 2011 to 2017 for East Java province show National Share all sectors have absorption growth rates regional labor (East Java) is higher than the national level (Java island); in the Industrial Mix column sector 1 is a sector that grows more slowly; in the Competitive Position column 3,5,6,7,8 are sectosr that has low competitiveness.

Manufacturing or Degree-Intensive Labor Markets: Where Do the Children of Non-College Graduates Earn More Degrees?

Manufacturing employment has declined since the 1970s, while the number of jobs requiring a college degree has risen. The shift has reshaped the environment in which many young people grow up and pursue their educations, potentially affecting the level of education they attain. This analysis uses the National Longitudinal Surveys of Youth to investigate the relationship between industrial composition and the educational attainment of children whose parents have only a high school education or less. The results show that the educational attainment of these youths is correlated with the region's industrial mix, though in ways that may seem somewhat surprising.

Keterkaitan Sektor-Sektor Ekonomi Potensial di Provinsi Riau

This study aims to identify the potential economic sector in Riau. The data used is the Gross Domestic Product from 2006-2010. The analytical tool used is typology Klassen, location quotient, shift share, and gravity index. The result of typology Klassen, Bengkalis is the advancing area. Siak and Rokan Hilir are advanced but depressed area. Pekanbaru, Kuantan Singingi, Indragiri Hilir, Indragiri Hulu, Pelalawan, Rokan Hulu, and Dumai are the fast growing areas. Kampar and Meranti Islands are the disadvantaged area. The results of the location quotient, mining and quarrying sector are dominant sector in Siak, Bengkalis, Rokan Hilir, and Dumai. The agricultural sector is dominant sector in Kuantan Singingi, Indragiri Hulu, Indragiri Hilir, Pelalawan, Rokan Hulu, and Meranti Islands. Trade is dominant sector in Pekanbaru. The results of the shift share, there are shift in the economic growth of potential sector in Riau. Economic growth had driven by the effects of provincial growth, industrial mix effect, and effect of competitive advantage. Finally, the results of Gravity Index show that Bengkalis, Siak, and Pekanbaru are the center of economic growth in Riau.

Differences in Regional Economic Prosperity: Do State Policies Matter? – An Empirical Investigation of Data from the German States

Different regional economic theories come to different conclusions with regard to the impact of (state) policies on the economic prosperity of regions. This article provides empirical evidence that determinants like geography, urbanization, industrial mix and social capital explain 68 percent of the variation in GDP per worker among West German regions. One element that all these factors have in common is that they cannot, at least in the short run, be influenced by state policies. Determinants like infrastructure and human capital, both of which can be influenced by state policies, only account for another 11 percent of the variation in GDP.

Analysis of Difference of Water Use Efficiency in China

Water consumption per ten thousand yuan GDP (WG) is an internationally comparative indicator of water use efficiency (WE), but it cannot further reveal the causes of the differences of WE. The shift-share analysis method is introduced, and the WG-shift-share analysis model (WG-SSM) is built combined with the regression model. According to the model, WE is decomposed and analyzed from the three levels of the country, the region and the industry from 1997 to 2011. The results show that: WG of the country, the region and the industry shows a significant downward trend, but WE is greatly different of inter-region and inter-industry; total shift of each region relative to the national average level is shrinking year by year, and inter-regional differences are mainly due to the competitive effect; the influence of the industrial mix effect is determined by the WE of the primary industry;the allocation effect least impacts on the differences of regional WE, but it can test the interaction between the competitive effect and the industrial mix effect, which can provide objective reference for drafting the water-saving policies and measures.

Path dependency and path plasticity in emerging industries

The article is focused on the evolution of emerging industries based on the concepts of path dependency, path creation and path plasticity. Based on an analysis of the evolution of the IT sector in two regions of Slovakia - Bratislava and Košice - it explores to what extent was the emergence of new industries influenced by the former industrial mix and the formal and informal institutions established in the preceding periods.