scholarly journals Determining Factors of Potential Economy Sectors of Bantaeng Regency in South Sulawesi Province of Indonesia: An Analysis Using the Location Quotient Approach

2017 ◽  
Vol 12 (7) ◽  
pp. 183 ◽  
Author(s):  
Willy Arafah ◽  
Ryan Corinus Dato Matheos

Bantaeng Regency, one of the regencys in South Sulawesi Province, has some potential economy sectors to be developed. In order to know those potential economy sectors, one of the economy analysis which can be used is the Location Quotient analysis. In this research, the analysis will use Static Location Quotient (SLQ) and Dynamic Location Quotient (DLQ). The SLQ method is used to determine the base sectors (leading sectors) in Bantaeng Regency at one period of time. While DLQ method is used to determine whether a sector that is superior over a period of time are leading sectors for the period of time that will come. The analysis showed that in the year 2013-2014 the Trade and Retail sector; Car and Motorcycles Repair sector; Real Estate sector; Government Administration sector; Defence and Compulsory Social Security; and Other Services Sector is the leading economy sector in Bantaeng Regency. And in the year 2014-2015, the Trade and Retail sector; Cars and Motorcycles Repair sector; Real Estate sector; Service Sector Health and Social Work; and Other Services Sector is the leading economy sector in Bantaeng Regency.

2018 ◽  
Vol 16 (2) ◽  
pp. 122
Author(s):  
Sutanti Sutanti ◽  
Dwi Oktariani

The important thing for regions that have not been recently established such as South Tangerang City is sustainable economic growth. This study aims to identify and analyze the leading sectors in South Tangerang and to project the South Tangerang City Gross Domestic Product in 2017. The data used in the form of the total value added of goods and services resulting from all the economic activities of South Tangerang City and Banten Province economists based on constant prices in 2000. The analysis method uses the Location Quotient (LQ) model and Shift - Share analysis. Based on the Location Quotion (LQ) method, the base sector is nine sectors, namely (1) the Construction Sector; (2) The sector of large and retail trade, and repair of cars and motorbikes; (3) the sector of providing accommodation and drinking meals; (4) information and communication sector; (5) real estate sector; (6) company service sector; (7) educational services sector; (8) health services sector and social activities; (9) other service sectors. Overall, South Tangerang City has the most superior sector in the real-estate sector. It can be concluded that this sector has a competitive advantage and comparative advantage.


2018 ◽  
Vol 16 (2) ◽  
pp. 131
Author(s):  
Sutanti Sutanti ◽  
Dwi Oktariani

The important thing for regions that have not been recently established such as South Tangerang City is sustainable economic growth. This study aims to identify and analyze the leading sectors in South Tangerang and to project the South Tangerang City Gross Domestic Product in 2017. The data used in the form of the total value added of goods and services resulting from all the economic activities of South Tangerang City and Banten Province economists based on constant prices in 2000. The analysis method uses the Location Quotient (LQ) model and Shift - Share analysis. Based on the Location Quotion (LQ) method, the base sector is nine sectors, namely (1) the Construction Sector; (2) The sector of large and retail trade, and repair of cars and motorbikes; (3) the sector of providing accommodation and drinking meals; (4) information and communication sector; (5) real estate sector; (6) company service sector; (7) educational services sector; (8) health services sector and social activities; (9) other service sectors. Overall, South Tangerang City has the most superior sector in the real-estate sector. It can be concluded that this sector has a competitive advantage and comparative advantage.


2020 ◽  
Vol 20 (4) ◽  
pp. 277-284
Author(s):  
Markus Patiung ◽  
Nugrahini Wisnujati

Gross Regional Domestic Product (PDRB) is the amount of gross added value arising from all economic sectors in the region. It aims to help formulate regional policies, plan and evaluate development results, and provide information that can describe the regional economic performance. The purpose of this research is to analyse sustainable economic sector in Probolinggo district east Java province – Indonesia. A sustainable sector means a sector that is currently included as a basis and will remain a basis sector in the future even if the growth is slow or fast. The analytical methods used include analysis of Location Quotient (LQ), Dynamic Location Quotient (DLQ), and Klassen Typology. Of the 17 economic sectors that contributed to the PDRB of Probolinggo district, with the results of the LQ analysis, 7 sectors were in basic categories and 10 sectors were in non-basic categories. Results of the comparative analysis of LQ and DLQ indicates that there are 5 leading sectors, 2 prospective sectors, 6 mainstay sectors, and 4 lagging sectors. The results of the classification typology analysis consisted of 3 fast-growing and fast-growing sectors, 7 sectors is growing fast, 4 advanced and slow-growing sectors, and 3 relatively lagging sectors. From the three analysis results, it can be seen that the sustainable sectors are agriculture, forestry, and fisheries (second rank ); electricity and gas procurement sector (first rank); water supply, waste management, waste and recycling sectors (third rank); health service sector and social activities (fourth rank); other service sectors (rank fifth); processing industry sector; construction sector; transportation and warehousing sector; the accommodation and food and drink provision sector; information and communication sector; and the education services sector.


Inovasi ◽  
2019 ◽  
Vol 16 (2) ◽  
pp. 85-94
Author(s):  
KRISTIAN BUDITIAWAN

Terjadi ketimpangan yang mencolok antara kawasan utara dan kawasan selatan Jawa   Timur jika dilihat dari laju pertumbuhan ekonomi. Kawasan utara telah memiliki infrastruktur yang mampu mengangkat perekonomian masyarakat di sekitarnya.   Berbeda dengan  kawasan utara, kawasan  selatan  Jawa  Timur  belum  memiliki  infrastruktur  yang  memadai sehingga  perkembangan  perekonomiannya  cenderung lebih  lambat. Penyebab ketertinggalan wilayah selatan disebabkan oleh kondisi geografis kawasan tersebut terutama Kab. Blitar, yang merupakan pegunungan kapur yabg kondisinya kering dan miskin sumber daya alam yang bisa dimanfaatkan. Penelitian ini bertujuan mengetahui sektor basis, mengetahui lapangan usaha yang memiliki daya saing, dan mengetahui struktur perekonomian di Kabupaten Blitar periode 2010-2016. Teknik analisa yang digunakan adalah Analisa Location Quotient (LQ), Analisa Dynamic Location Quotient (DLQ), dan Analisa Shift-Share klasik. Hasil penelitian ini adalah sektor basis di Kabupaten Blitar meliputi pertanian, kehutanan, dan perikanan; informasi dan komunikasi; real estate; administrasi pemerintahan, pertahanan dan jaminan sosial wajib; jasa pendidikan; dan jasa kesehatan dan kegiatan sosial. Lapangan usaha yang memiliki daya saing adalah pertanian, kehutanan, dan perikanan; pertambangan dan penggalian; perdagangan besar dan eceran, reparasi mobil dan sepeda motor; dan jasa keuangan dan asuransi. Dan struktur perekonomian Kabupaten Blitar dalam rentang waktu 2010-2016 ditopang oleh empat lapangan usaha yaitu pertanian, kehutanan, dan perikanan; perdagangan besar dan eceran, reparasi mobil dan sepeda motor; industri pengolahan; dan konstruksi. Kata kunci: sektor basis, daya saing, LQ, DLQ, Shift-Share


SENTRALISASI ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 1
Author(s):  
Kalzum R Jumiyanti ◽  
Barmin R Yusuf

The objectives of this paper are to analyze economic growth through the GRDP (Gross Regional Domestic Product) figure which leaves a problem of regional disparity between districts/cities in Gorontalo Province and aims to identify potential sectors in districts/cities in Gorontalo. The analytical method used is location quotient, Klassen typology, Williamson analysis, and Gini ratio. The findings in this paper are where Gorontalo City is the center of economic activity, so it can be said that of the 17 (seventeen) Gorontalo provincial national income sectors, 15 (fifteen) of them are based sectors, 2 sectors are agriculture, forestry and the fisheries and mining and quarrying sector are not the basic sectors in Gorontalo City. Gorontalo City has 15 (fifteen) basic sectors, 3 (three) sectors that have the highest value for the base sector including the water supply sector, the sector of providing food and drinking accommodation, and the real estate sector. Another case with other districts that are hinterland areas for developed regions. High inequality in developed regions (Gorontalo City) and hinterland areas such as Gorontalo Regency, Bone Bolango Regency, North Gorontalo Regency, Boalemo Regency, and Pohuwato Regency are caused by backwash effects so that financially cannot focus on funding investment in its superior sectors. Leading sectors in Gorontalo Regency have 9 (nine) leading economic sectors, Bone Bolango Regency has 11 (eleven) leading economic sectors, North Gorontalo Regency has 6 (six) leading economic sectors, Boalemo Regency has 1 (one) leading economic sector and Regency Pohuwato has 6 (six) leading economic sectors.


2016 ◽  
Vol 13 (3) ◽  
Author(s):  
Debabrata Sutradhar

In the contemporary globalised economy, service sector attracts the major share of Foreign Direct Investment (FDI) in the world. India being a part of this phenomenon also attracts most of its FDI in the service sector. The present paper highlights the trend in FDI movement in the world in general and India in particular. Further, it reviews the FDI policy in India in the post liberalized period. The growth of FDI in services sector may be attributed to the changing pattern of global FDI and also the liberalization and globalization policies pursued by India. Since 2000, the high inflow of FDI has resulted in the growth of new services viz., financial and non-financial services, telecommunication, computer software and hardware, hotel and tourism, construction activities and real estate. The growth of services sector had led to the growth of export of services from India which now accounts the majority of export from the country.Keywords: FDI, Services sector, Export, Liberalization.


2019 ◽  
Vol 17 (1) ◽  
pp. 32
Author(s):  
Atik Yulianti

Decentralization and regional autonomy policies provide opportunities for development of governments and communities in the regions.  The economic and financial potential needs to be extracted and processed, so it could be a tangible output that gives an additional value to the product which lead to improving the welfare of the people in the Bangka Belitung Islands Province. Regional economics can be divided into two sectors, namely basic activities and activities rather than bases. This study uses Location Quotient method to find out and analyze the basic or superior sectors in the Bangka Belitung Islands Province. Based on the results of the research, Mining and Excavation sector, Government administration sector, Agricultural sector, Health and services sector, Real estate sector, Manufacturing industry and the big and retail trade sector; are those who have more than 1 local offering so they can be favored for the Bangka Belitung Islands Province in 2013-2017.


2014 ◽  
Vol 13 (4) ◽  
pp. 1
Author(s):  
Debabrata Sutradhar

In the contemporary globalised economy, service sector attracts the major share of Foreign Direct Investment (FDI) in the world. India being a part of this phenomenon also attracts most of its FDI in the service sector. The present paper highlights the trend in FDI movement in the world in general and India in particular. Further, it reviews the FDI policy in India in the post liberalized period. The growth of FDI in services sector may be attributed to the changing pattern of global FDI and also the liberalization and globalization policies pursued by India. Since 2000, the high inflow of FDI has resulted in the growth of new services viz., financial and non-financial services, telecommunication, computer software and hardware, hotel and tourism, construction activities and real estate. The growth of services sector had led to the growth of export of services from India which now accounts the majority of export from the country.Keywords: FDI, Services sector, Export, Liberalization.


2019 ◽  
Vol 17 (1) ◽  
pp. 32 ◽  
Author(s):  
Atik Yulianti

Decentralization and regional autonomy policies provide opportunities for development of governments and communities in the regions.  The economic and financial potential needs to be extracted and processed, so it could be a tangible output that gives an additional value to the product which lead to improving the welfare of the people in the Bangka Belitung Islands Province. Regional economics can be divided into two sectors, namely basic activities and activities rather than bases. This study uses Location Quotient method to find out and analyze the basic or superior sectors in the Bangka Belitung Islands Province. Based on the results of the research, Mining and Excavation sector, Government administration sector, Agricultural sector, Health and services sector, Real estate sector, Manufacturing industry and the big and retail trade sector; are those who have more than 1 local offering so they can be favored for the Bangka Belitung Islands Province in 2013-2017.


2017 ◽  
Vol 13 (1) ◽  
pp. 61
Author(s):  
Hardjono Hardjono

Bali government has developing plan for non-agriculture economic sectors to support the development of agriculture sector. It aims to supports the growing of various economic productive activities, especially agro-industry activities from the upper sector to downstream sector.The objective of this research are 1) to identify which economic factor is needed to be developed imperatively; 2) which missing factor is needed to be injected by taking advantages from economic sector priority; based on superior comparative value, electric sector, gas and pure water have LQ (Location Quotient) and DLQ (Dynamic Location Quotient) agriculture sector shows superior comparative high LQ 1,154 and high DLQ 2,28; and also low CD (Coefficient of Dispersion) 0,11676 and low SD (Sensitive of Dispersion) 0,45654. Trading sector, hotel and restaurant LQ 1,865 and DLQ 0,53; low CD 0,83254 and very low SD 0,17500; transportation and communication show superior comparative high LQ 1,787 and  DLQ 0,32; CD 0,39439 and SD 0,26056. Mining sector, the superior comparative is considered since it has high LQ and low DLQ. Building sector, superior comparative low LQ 0,634 and DLQ 0,61; CD 0,99908 and SD 0,03020; meanwhile finance, rent, and trading service has high LQ 0,847 and DLQ 0,413; CD 0,12581 and SD 0,26708; and service sector high LQ 1,603 and DLQ 3,02 and also for CD 0,09443 and SD 0,19257; which will disappear depends on the market mechanism.


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