scholarly journals Analisis Transformasi Struktur Ekonomi 7 Provinsi di Wilayah Jawa dan Bali (Pendekatan LQ dan Shift Share)

2021 ◽  
Vol 4 (2) ◽  
pp. 178-200

This study is aimed to: (a) analyze changes in the economic structure of Java and Bali from 2010 to 2019, (b), understand to what extent the level of specialization of economic sectors in the Java and Bali Region that utilizes the base or the leading sector, and (c) understand on economic sectors that are growing progressively and have high competitiveness in the Java and Bali Regions. This study uses the LQ method and shift share analysis. Results show that the economy of Java-Bali from 2010 to 2019 did not experience much shift in the economic structure. In general, sectors that became the source of growth in 2010 in each province in Java-Bali remained the base sector/sources of growth in 2019. The shift share analysis shows that the Manufacturing sector in most provinces in Java-Bali is in quadrant III, which means that it grows slowly and its commodities lack of competitiveness. Meanwhile, the Communication and Information sector is mostly in quadrant II, which means this sector is growing progressively but lacks of competitiveness. Likewise with the Transportation and Warehousing sector, in most provinces this sector is able to grow progressively, but this sector lacks good competitiveness (quadrant II). On the other hand, the Service sectors in most provinces have grown progressively and have good competitiveness (quadrant I). The implication of this finding is the presence of symptoms of premature deindustrialization in Java-Bali, since the Services sector is growing faster, more progressive with a contribution to GDRP exceeds the Manufacturing sector, whereas the Manufacturing sector is not mature yet. Premature deindustrialization in Java-Bali has the potential to reduce job creation in the manufacturing sector and increase the risk of unemployment. Although the Service sector is growing progressively and competitively; However, if we look at the labor productivity, it appears that the labor productivity of the Service sector is much smaller than the labor productivity of the Manufacturing sector

2021 ◽  
Vol 16 (1) ◽  
pp. 13-25
Author(s):  
Dejan Dašić ◽  
Predrag Ristić ◽  
Miodrag Zlatković

The service sector is a key driver of the modern economy, but the area of marketing is still not sufficiently researched. Services differ from products in many characteristics, so their planning, organization and control deserve great attention. On the other hand, many marketing experts state that product brands are increasingly taking on elements of services, because customers do not view the product only as a product, but a compilation of products and services that goes with the product. The needs of modern customers are changing rapidly, and innovating services that meet the wishes and expectations of customers is a key issue.


Oikos ◽  
2015 ◽  
Vol 15 (31) ◽  
pp. 61
Author(s):  
Rafael G. Ricardo Bray ◽  
Ignacio Gómez Roldán

RESUMENPara un conjunto de ciento cuarenta y una organizaciones colombianas (95% bogotanas) clasificadas bajo la nomenclatura CIIU pertenecientes a 4 sectores económicos, se estimó el perfil de cultura organizacional de cada una a partir de la aplicación del Organizational Culture Survey (DOCS) de Daniel Denison y asociados. Las organizaciones bogotanas del estudio presentan unos perfiles culturales muy similares, no obstante pertenecer a diferentes sectores económicos. Por otro lado, las relaciones existentes entre las diferentes variables de cultura organizacional y el desempeño innovador difieren entre sectores económicos.Palabras clave: perfil de cultura organizacional, encuesta Denison de cultura organizacional, sector Económico, desempeño organizacional, innovación. Organizational culture and innovation performance in four different sectorsABSTRACTFor a sample of one hundred forty one Colombian organizations (95% located in Bogotá) classified under the CIIU ranking, the organizational culture profile of each one was estimated using the Organizational Culture Survey (DOCS) of Daniel Denison and associates. The organizations studied show very similar cultural profiles, although they belong to different economic sectors. On the other hand, the relationships existing between the different variables of organizational culture and innovation performance differ among economic sectors.Keywords: organizational culture profile, Denison organizational culture survey (DOCS), economic sector, organizational performance, innovation.


2018 ◽  
Vol 18 (1) ◽  
pp. 123-143
Author(s):  
Thomas Habanabakize ◽  
Paul-Francois Muzindutsi

Abstract The manufacturing sector is one of the backbones of the South African economy, and yet is one of the economic sectors facing challenges in job creation. This study analysed the long-run and short-run effects of aggregate expenditure components on job creation in the South African manufacturing sector. A Vector Autoregressive (VAR) with Johansen co-integration approach was used to analyse quarterly data from 1994 to 2015. The findings are that there is a long-run relationship between aggregate expenditure and job creation in the South African manufacturing sector, with government and investment spending being the major components of aggregate expenditure that create jobs in the South African manufacturing sector. Conversely, consumption spending destroys jobs in the manufacturing sector, while net exports have no significant effect on job creation. The short-run relationship between variables was not significant. Recommendations are that more effort should be put into investment spending, and government should spend more on investment than on consumption spending - in order to increase job creation in the manufacturing sector.


2017 ◽  
Vol 18 (1) ◽  
Author(s):  
Jan Grobovšek

Abstract I use a simple development accounting framework that distinguishes between goods and service industries on the one hand, and final and intermediate output on the other hand, to document the following facts. First, poorer countries are particularly inefficient in the production of intermediate relative to final output. Second, they are not necessarily inefficient in goods relative to service industries. Third, they present low measured labor productivity in goods industries because these are intensive intermediate users, and because their intermediate TFP is relatively low. Fourth, the elasticity of aggregate GDP with respect to sector-neutral TFP is large.


2021 ◽  
Vol 12 ◽  
Author(s):  
Ning Ma ◽  
Victor Jing Li ◽  
Tsun Se Cheong ◽  
Delin Zhuang

The aim of this study is to examine the evolution of inequality by focusing on the impacts of the economic structure. The technique of decomposition by income sources is employed to evaluate the contribution of the three major sectors, namely the agricultural, industrial, and service sectors to overall inequality. The data cover almost all the countries in the world from 2001 to 2017 for a total of 18 years. There are four stages of analysis in this study. The first stage of study is to provide an overall view of the evolutionary trend of global inequality, the second stage focuses on the North-South divide, the third stage determines the impacts of income groups, and the fourth stage investigates the impacts for each region. There are several salient findings: First, global inequality had declined in the study period. Second, the service sector is identified as the largest contributor to global inequality, followed by the industrial sector, while the contribution of the agricultural sector is negligible. For the North-South divide, disparity in the service sector was more marked in the North than in the South. The industrial sector played a major role in the South and contributed more than 40% to overall inequality. For the comparison amongst the income groups, our findings show that the higher the income, the higher the percentage contribution of the service sector (except for the low-income group). Finally, for the comparison across regions, although the contribution of the agricultural sector in most regions are below 1.5%; however, the contribution of the agricultural sector in both Sub-Saharan Africa and South Asia is more than 8%. It implies that a lot of people in these regions still rely on the agricultural sector for a living, and the development in the industrial and service sectors in these two regions lagged behind those of the other regions. Our analysis show that the evolution pattern is very different for each region, therefore, it is necessary to take the effects of income and geographical location into consideration in formulating development policies.


CONVERTER ◽  
2021 ◽  
pp. 674-688
Author(s):  
Cheng Hui Fang, Agbanyo George Kwame

Previous studies on the effect of FDI on sectoral growth are far from reaching a consensus. This paper, using a panel data of 35 countries between 1990-2019, aims at investigating the differential effects of foreign direct investment modes of entry into the economic sectors. Through the systems generalized method of moments methodology, this study found that the impact of foreign investment on growth corresponds directly with the absorptive capacity of the host country. Meanwhile,M&A is a better economic booster than greenfield investment. The results also suggest that foreign investment is a significant agent of economic growth in the service sector, relatively weak in the manufacturing sector and insignificant in the agriculture sector. Also, M&A seems to spillover more easily than greenfield across sectors, and natural resources are not very good channels to transmit foreign investment into economic growth.


ILR Review ◽  
1996 ◽  
Vol 50 (1) ◽  
pp. 17-38 ◽  
Author(s):  
David G. Blanchflower ◽  
Simon M. Burgess

Using data from the Workplace Industrial Relations Surveys of 1980, 1984, and 1990, the authors investigate processes of job creation and job destruction in Britain. They find that rates of employment growth, job creation, and job destruction were higher at the end of the 1980s than at the beginning. Both job creation and job destruction were extremely concentrated: about 50% of each was accounted for by just 4% of continuing establishments. Employment growth was apparently more variable in manufacturing plants than in private service sector workplaces. Some variables negatively related to employment growth were unionization, establishment size, establishment age, and location in the private manufacturing sector (versus private service sector).


2019 ◽  
Vol 8 (2) ◽  
pp. 1
Author(s):  
Ahmad Habibi Harahap ◽  
Eko Wahyu Nugrahadi

Economic growth of North Sumatera Province is not quite on the top of optimum. If the compared by some of others province in Indonesia and by  all of his potention, the North Sumatera Province only on the 10th rank of economic growth in Indonesia in 2009-2013 period. The purpose of this study is toanalyze the economic sectors which are the basis in each district/city in North Sumatera province and to determine the structure of economic growth in the district /city both sectoral and aggregate the province of North Sumatera. Structural transformation to some extent will have an impact on overall economic growth. Analysis tools used in this study is Location Quetiont (LQ), Growth Ratio Model (MRP), overlay analysis, and shift share analysis. Results of this study showed that the agriculture sector is a sector which is the basis in nearly 13 districts/cities in North Sumatera Province. But the growth in agriculture, processing industries, mining and quarrying, and the electricity, gas & water supply sector likely slowed, otherwise all tertiary sectors which include: trade, hotels, and restaurants; transportation and communication, finance, leasing, and services company, and the services sector is likely to experience growth positive. Transportation and communication is a sector with the highest growth occurring in North Sumatera Province. Shift Share Analysis results showed that in the Province of North Sumatera is going structural transformation characterized by decreasing the role of the agricultural sector, and the increasing role of the service sector. This condition as well as contrary to the Kuznets theory which states that the process of structural transformation contribution marked by shifting agriculture to manufacturing and then to services sector.


2019 ◽  
Vol 22 (4) ◽  
pp. 7-22
Author(s):  
Joanna Wyszkowska‑Kuna

Economic development has resulted in structural transformation towards economies based on services, which has raised some concerns about the limited opportunities for sustaining productivity growth. The aim of this paper is to examine total factor productivity (TFP) growth in the service sector in comparison with total industries and the manufacturing sector, as well as within the service sector. The study is based on the data from the EU‑KLEMS database (2017), and it covers the years 1995–2015. It refers to EU countries, making it possible to carry out a comparative analysis between countries, in particular between the ‘old’ and ‘new’ member states. The study demonstrates that productivity growth in services was significantly lower than in manufacturing, but compared with total industries, the disparity was not significant. Productivity growth was usually higher in the ‘new’ EU countries than in the ‘old’ ones, except for information and communications services, which, on the whole, were the main driving force behind the productivity growth in services.


This research analyzes the energy consumption of transport service sectors in Vietnam and its changing trend in the past twenty-five years using Input-Output (IO) tables and Logarithmic-mean Divisia index (LMDI) method. IO table of 28 economic sectors in 1996, 2000, 2007, 2012 and 2018 is used to determine energy consumption, in which the transport service sector was always the third or second largest energy consumer, accounting for between 9% and 16% of total energy consumption. LMDI method is used to define influencing factors including transport activity, transport structure, transport intensity, and energy intensity. In these four impacts, the change of transport activity contributes the largest effect (occupied 74.3%), followed by the change of energy intensity (occupied 17.7%) of total increased share for energy consumption. Among the transport service sectors, it is found that Freight transport service by road played the mainstream role in the increasing trends of energy consumption in the period of 2007-2018. In order to improve the energy efficiency of the sector, investments in green transport technologies and modernization of trucks to be more efficient and eco-friendlier will be the key contributors.


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