scholarly journals ANALYSIS OF LEADING SECTORS IN SOUTH TANGERANG FOR DETERMINING REGIONAL DEVELOPMENT PRIORITIES

2019 ◽  
Vol 2 (1) ◽  
pp. 44-58
Author(s):  
Sutanti Sutanti ◽  
Dwi Oktariani
Keyword(s):  
Economic Growth ◽  
Real Estate ◽  
Social Services ◽  
Secondary Data ◽  
Retail Trade ◽  
Added Value ◽  
Motor Vehicles ◽  
Location Quotient ◽  
Main Requirement ◽  
Quantitative Descriptive

A sustainable economic growth becomes a main requirement for the continuity of regional economic development. Therefore, it should be concentrated on the basic sectors or leading sectors in order to create significant multiplier effect on other sectors. It is urgency for newly established regions, e.g., South Tangerang. This study aims to determine and analyze leading sectors that possess competitiveness and specialization in South Tangerang in relation with the future economic growth of South Tangerang. In addition, it also aims to project the added value or GRDP of South Tangerang in 2017. Secondary data in the form of time series sectoral GRDP at constant prices of both South Tangerang and Banten from 2010 to 2016 were obtained from BPS South Tangerang City and BPS of Banten Province. The data were analyzed using a quantitative- descriptive approach through the Location Quotient (LQ) and Shift-Share analysis. Based on the LQ method, there are nine leading sectors in 2010—2016, namely: construction; wholesale and retail trade, and repair of motor vehicles and motorcycles; accommodation and food; information and communication; real estate; corporate services; educational services; health and social services; and other services. The average LQ for these sectors is, respectively, 1.490; 1.333;1.315; 2.969; 2.233; 3.299; 2.530; 3.663; and 2.014. Real estate has the highest values, indicating it becomes the leading sector with the highest competitive and comparative advantages.

scholarly journals Determination of Leading Sector Sukoharjo Regency: Location Quotient and Shift Share Estaban Marquillas Approach

2018 ◽  
Vol 2 (02) ◽  
Author(s):  
Muhammad Raqib ◽  
Mohammad Rofiuddin
Keyword(s):  
Social Work ◽  
Real Estate ◽  
Human Health ◽  
Food Service ◽  
Retail Trade ◽  
Motor Vehicles ◽  
Location Quotient ◽  
Work Activities ◽  
Information And Communication ◽  
And Storage

The purpose of understanding the development of economic sector in 2012-2016 in order to develop and manage the potential of the region in Sukoharjo. The method used to analyze the leading sectors in this research is location quotient and shiftshare analysis of Esteban Marquillas. The result of the research shows that there are eleven sectors which are the basic sector ie. Manufacturing sector, Electricity and Gas sector, Large and Retail Trade sector, Automobile and Motorcycle Reparation, Transportation and Storage sector, Accommodation and Food Service Activities sector, Information and Communication sector, Financial and Insurance Activities sector, Real Estate Activities sector, Business Activities sector, Human Health and Social Work Activities. Economic sectors are having a competitive advantage as well as specialization namely in the sectors of the Manufacturing; Wholesale and Retail Trade; Repair of Motor Vehicles and Motorcycles; Transportation and Storage; Information and Communication; Real Estate Activities; and Human Health and Social Work Activities. Sectors are having the highest three positive values are the sectors of Manufacturing; Wholesale and Retail Trade; Repair of Motor Vehicles and Motorcycles; and Information and Communication. Keywords : Development, Growth, Shift Share Estaban Marquillas

scholarly journals ANALISIS SEKTOR BASIS DAN SUBSEKTOR PERTANIAN BASIS TERHADAP PERTUMBUHAN EKONOMI DI KABUPATEN KEEROM, PROVINSI PAPUA

2017 ◽  
Vol 13 (1) ◽  
pp. 10
Author(s):  
Usman Usman
Keyword(s):  
Economic Growth ◽  
Agricultural Development ◽  
Development Program ◽  
Secondary Data ◽  
Animal Husbandry ◽  
Position Change ◽  
Location Quotient ◽  
Location Factor ◽  
Agriculture Sector ◽  
Dynamic Location

Agricultural  development  program  in  Indonesia  is  the  part  of  economic development.  Papua  Province  in  the  economic  sector,  the  agriculture  sector  is  the very important role in supporting economic growth in the region.This study aims to analyze  the  basic  sector  and  basic  sub-sector  of  agriculture,  analyze  the  position sector  and  the  agriculture  sector  in  the  future,  and  the  determinants  of  changes  in positions on regional economic growth based on the calculation of the GDP Keerom district  and  Papua  province  in  2008-2011.The  study  used  secondary  data  over  a period of four years. The analysis  method used is Location Quotient (LQ), Dynamic Location  Quotient  (DLQ),  and  Total  Shift  Share  (TSS).  The  analysis  LQ  show  that agriculture  sector  is  the  basic  sector  in  the  economy  Keerom.While  the  agriculture sector  as  the  sub-sector  basis  (leading  sector) is plantation,  animal  husbandry,  and forestry.The combined method of LQ and DLQ, show that agriculture sector is still the sector basis in the future.The results of the analysis TSS is known that the deciding factor  position  change  on  plantations  and  fishing  sub-sector  is  the  location  factor, while the determining factor position change on the livestock sector is the factor of of economic structure.

Hubungan kausalitas ekspor batubara dengan pertumbuhan ekonomi Provinsi Jambi

2020 ◽  
Vol 8 (1) ◽  
pp. 23-30
Author(s):  
Iis Puji Wahyuni ◽  
Amri Amir ◽  
Rahma Nurjanah
Keyword(s):  
Economic Growth ◽  
Secondary Data ◽  
Granger Causality Test ◽  
Analysis Model ◽  
Causality Test ◽  
Descriptive Research ◽  
Simple Regression Analysis ◽  
Quantitative Descriptive ◽  
Simple Regression ◽  
Average Development

In this study aims to (1) know the development of economic growth and know the development of coal exports (2) find out the causality of coal exports with the economic growth of Jambi Province. The data used in this study are secondary data sourced from the Central Statistics Agency (BPS) of Jambi Province. To answer these objectives, this study uses a type of quantitative descriptive research with an analysis model for the first and second problems using simple regression analysis and granger causality test. The results of the study show that (1) the average development of economic growth in Jambi Province in 2004-2018 was 6.15 percent; (2) the average development of coal exports is 149.64 percent, and (3) partially coal exports do not have a causal relationship to the economic growth of Jambi Province  Keywords: Economic growth, Coal exports

scholarly journals ANALISIS POTENSI EKONOMI KABUPATEN BANYUWANGI

2014 ◽  
Vol 12 (1) ◽  
pp. 1 ◽  
Author(s):  
Ahmad Afan Ayubi
Keyword(s):  
Economic Growth ◽  
Growth And Development ◽  
Quantitative Research ◽  
Secondary Data ◽  
Ratio Method ◽  
Construction Sector ◽  
Economic Sectors ◽  
Location Quotient ◽  
Growth Ratio ◽  
Economic Growth And Development

The purpose of this study was to identify sectors of potential economic, competitive competitive, comparative and specialization, to then be used as a driver of economic growth and development of the district of Banyuwangi. This type of research is descriptive quantitative research. The data used in this research is secondary data and time series. These results indicate that by Location Quotient (LQ), the sector identified as a leading sector is agriculture. Based on the average results of analysis Growth Ratio Method (MRP), shows found their economic sectors that stand at both district and provincial Banyuwangi East Java, with the construction sector and the sectors of trade, hotel and restaurant.

scholarly journals The Analysis of Property Loans Development in Indonesia

2021 ◽  
Vol 11 (1) ◽  
pp. 123
Author(s):  
Anisa Nurpita ◽  
Rina Oktavia
Keyword(s):  
Economic Growth ◽  
Real Estate ◽  
Essential Role ◽  
Secondary Data ◽  
Bank Lending ◽  
Growth Trend ◽  
Population Number ◽  
Loan Growth ◽  
Analytical Tools ◽  
Real Estate Loan

The property sector in Indonesia has an essential role in driving the national economy. The bank lending development to the property sector in April 2019 did not show significant growth and stagnant. This study analyzes the growth trend of property loans in Indonesia and estimates the factors that affect the number of housing loans (KPR) and apartment ownership loans (KPA) in Indonesia. The data used in this study are secondary data and time series. The analytical tools used in this research are trend and regression. The results showed that from 2020 to 2025, the property loan growth in Indonesia will still be sluggish. The condition is identified by construction loan which is expected to grow even though the increase is not too significant, real estate loan is still fluctuating, this is because in 2019 there was a decline in real estate loan growth of almost 50 percent from the previous year, and KPA and KPR are estimated to decline even though in nominal terms the number of KPR and KPA increases. The population number variable has a positive and significant effect on the number of KPR and KPA in Indonesia. The more the population, the more the number of KPR and KPA will increase. Meanwhile, the variables of economic growth and inflation in this study did not significantly affect the number of KPR and KPA.

scholarly journals Analysis of Leading Sectors in Increasing Economic Growth in the Province of East Nusa Tenggara in 2014-2018

2021 ◽  
Vol 1 (1) ◽  
pp. 21-37
Author(s):  
Emilia Khristina Kiha ◽  
Frederic Winston Nalle ◽  
Gustaf Inyong Kobi
Keyword(s):  
Economic Growth ◽  
Financial Services ◽  
Secondary Data ◽  
Retail Trade ◽  
The Real Estate ◽  
Services Sector ◽  
Insurance Sector ◽  
Real Estate Sector ◽  
Food And Drink ◽  
Typology Analysis

The aims of the study is to find out the leading sectors in increasing economic growth in the province of east nusa tenggara. This study uses secondary data in the form of PDRB data for the 2014-2018 period obtained through literature books, readings related to the problem under study. Sources of data were obtained from government agencies such as the East Nusa Tenggara Province Central Statistics Agency (BPS), as well as related agencies. The result in this study. 1.     Based on the results of the Klassen Typology analysis, the sector which is included in the advanced sector and growing rapidly or the leading sector is the sector Mandatory Government Administration, Defense and Social Security. Meanwhile, sectors that are included in the advanced but depressed sector are the Agriculture, Forestry and Fisheries sector, the Construction sector, the Transportation and Warehousing sector, the Information and Communication sector, the Education Services sector, the Health Services sector and Social Activities and the Other Services sector. Sectors classified as potential or still developing sectors are mining and quarrying sector, processing industry sector, electricity and gas supply sector, wholesale and retail trade: car and motorcycle repair and accommodation and food and drink provision sector. Meanwhile, sectors that are relatively lagging behind are the water supply sector, waste management, waste and recycling, the financial services and insurance sector, the real estate sector and the corporate services sector.

scholarly journals Analysis of the Structure of Economic Growth in the Fisheries Sector Study Case at Bogor District Indonesia

2021 ◽  
pp. 1-8
Author(s):  
Dinda Aulia Febrisya ◽  
Achmad Rizal ◽  
Yuli Andriani ◽  
Asep Agus Handaka Suryana
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Slow Growth ◽  
Survey Methods ◽  
Secondary Data ◽  
Research Data ◽  
Location Quotient ◽  
Slow Growth Rate ◽  
Growth Structure ◽  
Study Case

This study aims to analyze the theory of economic growth and analyze the growth rate of the fisheries sector in the Bogor District based on a comparison of the total gross regional domestic production (GRDP) of cities and provinces. The research began in January 2021 until April 2021. The research method was carried out by survey methods collected both through decision surveys which were then analyzed quantitatively and presented descriptively. This research data comes from secondary data. The data was generated from interviews with the Department of Fisheries and Livestock staff in Bogor District, BPS Bogor District, BPS West Java Province, and Bappeda Bogor District. Data analysis included Shift Share Analysis and Location Quotient Analysis. Based on research conducted on the Analysis of the Economic Growth Structure of the Fisheries Sector in the Bogor District, it can be concluded that the Fisheries Sector is aprimary sector in the Bogor District with an LQ value of 1.2712. The results show the growth value of the net shift in the production of the fisheries sector in Bogor District with an average from 2015-2019 of -1.331.821,44. The fisheries sector shows a PB value <0, meaning that the fisheries sector in Bogor District has a slow growth rate.

scholarly journals Study of agricultural economic potential in West Kalimantan using Regional Analysis Techniques

2021 ◽  
Vol 325 ◽  
pp. 07008
Author(s):  
Salma Nurulhuda ◽  
Mery Askarina ◽  
Si’ta Romadhoniastri ◽  
Afanin Fatkha Azahra ◽  
Deatry Kharisma Karim ◽  
...  
Keyword(s):  
Growth And Development ◽  
Agricultural Sector ◽  
Regional Analysis ◽  
Secondary Data ◽  
Economic Potential ◽  
Location Quotient ◽  
West Kalimantan ◽  
Analysis Techniques ◽  
Sector Analysis ◽  
Quantitative Descriptive

The agricultural resource is one of the most critical sectors in the economy, which contributes a high portion of the growth and development of a particular region. Differences in characteristics and potential between regions give rise to the basic and non-basic sectors, which then affect income contribution. This research aims to analyze the economic potential of the agricultural sector of the regencies and cities in West Kalimantan Province as basic or non-basic sector. Both basic and non-basic sector analysis can be carried out using quantitative-descriptive methods using Shift-Share and Location Quotient (LQ) analysis. The analysis was carried out using secondary data from the Central Statistics Agency (BPS) publication from 2015 to 2020. The results of the LQ analysis show the agricultural sector in Sambas, Bengkayang, Landak, Mempayah, Sanggau, Ketapang, Sintang, Kapuas Hulu, Sekadau, and Kayong Utara are the basic sector. Meanwhile, the agricultural sector in Kubu Raya, Pontianak, and Singkawang are non-basic sector. Agriculture in Melawi Regency has changed from a basic sector in 2015, to a non-basic sector in 2020. The results of the Shift-Share analysis show the agricultural sector in Sambas, Bengkayang, Landak, Mempayah, Sanggau, Ketapang, Kapuas Hulu, Sekadau, Kubu Raya, Pontianak and Singkawang have progressive or advanced growth, while Sintang, Melawi and Kayong Utara have slowed growth.

scholarly journals Development of Wholesale and Retail Trade, Repair of Motor Vehicles and Motorcycles Business in Rangpur Division

2021 ◽  
Vol 10 (1) ◽  
pp. 39-56
Author(s):  
Omar Faruque ◽  
Md. Motiur Rahman
Keyword(s):  
Motor Vehicle ◽  
Secondary Data ◽  
Retail Trade ◽  
Motor Vehicles ◽  
Primary Data ◽  
Small Scale ◽  
Middle Income ◽  
Working People ◽  
Service Activity ◽  
Short Time

Bangladesh has already become a middle-income country. Yet its large number of working people is still jobless. The importance of Wholesale, Retail, Motor-vehicle workshop, and Motorcycle businesses (WRMB) for solving employment problems in a short time is immense. WRMB can pave the way for the employment of these people. There are eighteen types of manufacturing and service activity in the small-scale industry (SSI) sector. Out of this WRMB activity sector holds the height contribution in number. This paper attempts to discover the present situation of the Growth and Development of the Wholesale, Retail, Motor-vehicle workshops, and Motorcycle businesses in the Rangpur Division of Bangladesh during 2013-14 to 2017-18. The study is empirical. Both the primary and secondary data have been used in this study. Primary data is collected from 200 wholesale and retail trade, repair of motor vehicles, and motorcycles activity. The study found a simple correlation between financial conditions of the WRMB with the three dependent variables `net sales 2013-14’, `net sales 2017-18’, and `average net sales’.

scholarly journals ANALISIS SEKTOR UNGGULAN YANG ADA DI KABUPATEN MOJOKERTO JAWA TIMUR

2019 ◽  
Vol 2 (1) ◽  
pp. 147-153
Author(s):  
Maulana Irmansyah
Keyword(s):  
Real Estate ◽  
Manufacturing Sector ◽  
Secondary Data ◽  
Domestic Product ◽  
Location Quotient ◽  
Analytical Tools

This study aims to determine the leading sectors and sectors that must be prioritized in Mojokerto Regency. This study uses secondary data from Gross Regional Domestic Product (GRDP) of Mojokerto Regency and East Java Province in 2015-2016. The analytical tools used in this study are: 1). Location Quotient Analysis (LQ), 2) Dynamiq Location Quotient Analysis (DLQ), 3) Shift-Share Analysis and 4) Klassen Typology. The results of the analysis by sector shows that the sector which is the leading sector in Mojokerto Regency with criteria classified as the base and competitive sector is the manufacturing sector. For the sectors that must be prioritized in Mojokerto Regency are the manufacturing and real estate sectors.

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