scholarly journals Determination Of The Same Leading Sectors In Blitar City

JEJAK ◽  
2019 ◽  
Vol 12 (2) ◽  
pp. 382-402
Author(s):  
Alpon Satrianto ◽  
Budi Sasongko
Keyword(s):  
Retail Trade ◽  
City Government ◽  
Location Quotient ◽  
Growth Ratio ◽  
Information And Communication ◽  
Constant Prices

The purpose of this study was to determine the same leading sector based on the Klassen Typology method, Location Quotient, Shift-Share, Growth Ratio Models and Overlay. This study was based on the fact that most of previous studies only determined the leading sectors based on one method only and none of them determined which sectors categorized similar. Therefore, it is important to determine superior sectors from several methods and which sectors must be prioritized in the development. The data of this study were derived from the average GRDP of Blitar City on the basis of constant prices in 2010 according to business fields from 2011-2017. The results of this study conclude that the same leading sectors based on these 5 methods in Blitar City are 1) Large and Retail Trade; Car and Motorcycle Repair, 2) Information and Communication, and 3) Financial and Insurance Services. Therefore, the Blitar City government must continue to develop these sectors by increasing investment and ease of licensing so that the sectors can continue to increase its contribution to the economy of Blitar City.

scholarly journals PENARAPAN LQ DAN SHIFT SHARE DALAM MENGUKUR PERTUMBUHAN EKONOMI DI PROVINSI SULAWESI SELATAN PERIODE TAHUN 2013-2017

2019 ◽  
Vol 11 (02) ◽  
pp. 83-97
Author(s):  
Muh Fuad Randy ◽  
Muh. Indra Fauzi Ilyas ◽  
Abdul Sumarlin
Keyword(s):  
Economic Growth ◽  
Agricultural Sector ◽  
Retail Trade ◽  
Construction Sector ◽  
Location Quotient ◽  
Processing Industry ◽  
Government Administration ◽  
The Third ◽  
South Sulawesi ◽  
Information And Communication

Testing the Application of Location Quotient (LQ) and Shift Share in Measuring Economic Growth in South Sulawesi Province for the 2013-2017 Period. Based on the fluctuating conditions of labor changes and the contribution of GDP to the structure of the economy in the provinces of South Sulawesi and Indonesia. The main problem in this study is; What is the economic growth of South Sulawesi province based on the shift share approach for the 2013-2017 period, what is the economic growth of South Sulawesi province based on the LQ approach for the 2013-2017 period, the results of the calculation of GRDP 2013-2017 that have been made can be concluded as follows; There are 8 (eight) sectors which are the base sectors including the first sector of agriculture, both water supply, waste management, waste and recycling, third construction, fourth information and communication, fifth real estate, sixth government administration, defense and social security, seven services Education, eight health services and social activities there are four sectors that have the advantage of the first, namely the agricultural sector, the second processing industry, the third construction sector, the fourth large and retail trade, car and motorcycle repair

scholarly journals ANALISIS POTENSI SEKTOR POTENSI PERTANIAN DI KABUPATEN KEDIRI TAHUN 2010-2014

2016 ◽  
Vol 14 (1) ◽  
pp. 99
Author(s):  
Abdurrahman Rasyid
Keyword(s):  
Analysis Tool ◽  
Economic Sector ◽  
Contribution Rate ◽  
Economic Sectors ◽  
Location Quotient ◽  
Agriculture Sector ◽  
Research Problems ◽  
Average Contribution ◽  
Constant Prices

The purpose of this study refers to the content and formulation of research problems, namely: to identify the structure of the economy in Kediri, analyzing knowing what economic sectors into competitive advantage and specialization in Kediri, analyzing whether there is an increase or decrease. The analysis tool used is: 1). Sector contribution (contribution) to the GDP, 2). Location Quotient (quotient Area), 3). Shift-Share Analysis: 4). Analysis MRP. The results of the analysis using the contributions show 1) Average sectoral contribution to the GDP the highest rates in Kediri is found in the agriculture sector and continue to decline. For the lowest contribution rate of the economic sector to the GDP at constant prices in Kediri are sectors Electricity, Gas & Water 2014 with the value of an average contribution amounting The results showed that the determination of a sector basis Basis sector is still dominated by agriculture sector and mining sector & Excavation which is as Primary Sector

scholarly journals ANALYSIS OF LEADING SECTORS POTE ANALYSIS OF LEADING SECTORS POTENTIAL FOR ECONOMIC DEVELOPMENT PLANNING IN BANDUNG CITY

2019 ◽  
Vol 5 (3) ◽  
Author(s):  
Ahmad Rizani Rizani
Keyword(s):  
Ratio Model ◽  
Construction Sector ◽  
Location Quotient ◽  
Wholesale Trade ◽  
Growth Ratio ◽  
Services Sector ◽  
Information And Communication ◽  
Service Sectors ◽  
Food Provision ◽  
Communication Sector

This study aims to identify and determine the leading sectors in Bandung City to illustrate leading economics activities that can be developed in order to boost economics potential in Bandung City. The analysis tools used include Shift-Share, Location Quotient (LQ) and Growth Ratio Model (GRM) analyses. The results of the study show that: (1) shift-share analysis showed that the economy of Bandung City during the period 2010-2017 increased by Rp. 70,697,045.9 million. The increase in economic performance in Bandung City can be seen from 16 (sixteen) sectors of economic activity that are positive; (2) based on the Location Quotient (LQ) analysis, the leading sectors in Bandung City consisting of 13 (thirteen) sectors, i.e. water supply procurement; garbage, waste and recycling management; construction sector; retail and wholesale trade; car and motorcycle repair; transportation and warehousing sector; accommodation and food provision; information and communication sector; financial and insurance services sector; real estate sector; corporate services sector; government administration, defense and social security; education services sector; health services sector and social activities and other service sectors; (3) the analysis of the Growth Ratio Model (GRM) showed that the dominant sectors of growth and large contributions consist of the construction sector, transportation and warehousing sector, accommodation and food provision sector, information and communication sector, corporate services sector, education services sector, health services sector and social activities and other service sectors; (4) weighting results based on Shift-Share, Location Quotient (LQ) analysis, and Growth Ratio Model (GRM) showed that 5 (five) sectors based on the highest potential weighting results are the information and communication sector, retail and wholesale trade sectors , car and motorcycle repair, transportation and warehousing sector, accommodation and food provision sector and other service sectors.

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-SEKTOR EKONOMI TERHADAP PENERIMAAN DAERAH KABUPATEN WAJO

2019 ◽  
Vol 2 (1) ◽  
pp. 51
Author(s):  
Bunaya Bunaya
Keyword(s):  
Financial Services ◽  
Quantitative Research ◽  
Retail Trade ◽  
Educational Services ◽  
Economic Sectors ◽  
Location Quotient ◽  
Government Administration ◽  
Food And Beverage ◽  
Information And Communication ◽  
Method Analysis

This study aims to find out the basic economic sector, strategic economic sectors and the potential to be developed as supporting regional revenues in Wajo District. The study was descriptive quantitative research which employed gross regional domestic product data and rate of economic growth in 2012-2016. The method analysis used Location Quotient (LQ), Shift Share, and Klassen Typology. The results of the study reveal that the base sectors are agriculture, forestry and fishery, mining and excavation, procurement of electricity and gas, large and retail trade, and car and motorcycle repair; whereas, other sectors are included as non-base. The results of shift share method reveal that the competitive sectors are agriculture, forestry and fishery, government administration, mandatory defense and social security, educational services, transportation and warehousing, real estate, financial services, information and communication, health services and social activities, other services, provision of accommodation and food and beverage, company services, and procurement of electricity and gas. The result of Klassen typology indicates that there are two superior sectors, those are agriculture, forestry and fishery, and procurement of electricity and gas which are in quadrant I position

scholarly journals Sektor Pembangkit Perekonomian Kabupaten Hulu Sungai Tengah Selama Pandemik COVID-19

2021 ◽  
Vol 16 (2) ◽  
pp. 127-139
Author(s):  
Arif Maulana ◽  
Nugrahayu Suryaningrum
Keyword(s):  
Economic Growth ◽  
Information Technology ◽  
Local Governments ◽  
Regional Economy ◽  
Added Value ◽  
Economic Sectors ◽  
Location Quotient ◽  
Food And Beverage ◽  
Information And Communication ◽  
Constant Prices

The Covid-19 pandemic has spread out in Indonesia include in Hulu Sungai Tengah Regency. In 2020, this pandemic caused a deep economic contraction that needs to be a concern for local governments. This study aims to determine the potential sectors of the Hulu Sungai Tengah Regency during the Covid-19 pandemic to be able to rise from economic contraction. The data used are sourced from BPS-Statistics including Gross Regional Domestic Product at constant prices 2010 by industry, PDRB at current prices by industry, population, the share of economic sectors, Economic Growth during 2016-2020. The analysis used was Typology Klassen Analysis and Location Quotient which resulted that the Agriculture, Forestry, and Fisheries; Information and Communication sectors becoming the potential sectors that lead the economy of Hulu Sungai Tengah Regency during the Covid-19 pandemic. Based on information technology and focus on potential sectors, the growth of other sectors such as Manufacturing; Trading; Accommodation, Food, and Beverage will grow to increase the added value of the regional economy of Hulu Sungai Tengah Regency.

scholarly journals ANALYSIS OF ECONOMIC PERFORMANCE AND ECONOMIC POTENTIAL OF EAST JAVA PROVINCE

2017 ◽  
Vol 1 (1) ◽  
pp. 76-95
Author(s):  
Ahmad Rizani
Keyword(s):  
Economic Performance ◽  
Service Sector ◽  
Total Population ◽  
Ratio Model ◽  
Construction Sector ◽  
Location Quotient ◽  
Growth Ratio ◽  
Information And Communication ◽  
Communication Sector ◽  
Development Institution

This study aimed to investigate economic growth, regional economic pattern and structure of East Java Province. Other than that, this study also identified anddetermined superior sectors in East Java Province to give an illustration on which superior economic activities to be developed to improve the economic potential in East Java Province. Data employed in this study was secondary data in six years’ time series form 2010 until 2015 about GDP (Gross Domestic Product) for Indonesia, RGDP (Regional Gross Domestic Product) for East Java Province, total population in Indonesia, total population in East Java Province, the number of people living in poverty in Indonesia, and the number of people living in poverty in East Java Province. Data was obtained from Central Statistics Institution Indonesia, National Planning and Development Institution, Central Statistics Institution of East Java Province, and Regional Planning and Development Institution of East Java Province. Analysis tools used in this study included economic performance analysis, ShiftShare, Location Quotient (LQ), Growth Ratio Model (MRP) and Overlay analysis. The results of the study showed that: (1) economic performance index of East Java Province was quite good because during 2011-2015 the province got average economic performance index 0.847; (2) shift-share analysis showed that East Java Province economic showed an improvement during 2010-2015 by 340.769,50 billion rupiahs. Those economic performance improvements in East Java Province could be seen from the positive value of 16 (sixteen) economic activity sectors; (3) according to Location Quotient (LQ) analysis, there were five superior sectors in East Java Province, they were processing industry sector, water procurement sector, waste and recycle management sector, wholesale and retail, auto car and motorcycle reparation sector, accommodation and foods providing sector, and information and communication sector; (4) Growth Ratio Model analysis showed that sectors which had dominants growth and big contribution were construction sector, wholesale and retail, auto car and motorcycle reparation sector, transportation and warehousing sector, accommodation and foods providing sector, information and communication sector financial and insurance service sector, real estate sector, education service sector, health service and social activity sector; (5) Overlay analysis showed that potential economic sector in East Java Province included wholesale and retail, auto car andmotorcycle reparation sector, accommodation and foods providing sector, and information and communication sector; (6) weighing result according to Shift-Share Location Quotient (LQ), and Growth Ratio Model analysis were five sectors based on the highest rank of the most potential weighing result, they were accommodation and foods providing sector, processing industry sector, wholesale and retail, auto car and motorcycle reparation sector, information and communication sector, and construction sector.   JEL Classification : P47, O47, C02, C02, C02, C02

scholarly journals Determination of Base and Non-Base Sectors in Bangka Regency with Location Quotient Analysis Method

2021 ◽  
Vol 2 (2) ◽  
pp. 83-89
Author(s):  
Julia Julia ◽  
Darman Saputra ◽  
Herdiyanti
Keyword(s):  
Secondary Data ◽  
Economic Conditions ◽  
Vegetable Crops ◽  
Analysis Method ◽  
Location Quotient ◽  
Important Indicator ◽  
Data Collection Process ◽  
Data Survey ◽  
Constant Prices

Identification of basic sectors and sub-sectors is one of the stages for planning the expansion of strategic areas as centers of economic growth. Location Quotient analysis is needed to find out how far the level of interest in the economic sector in Bangka Regency is in utilizing the base sector or superior sector. The variable used to calculate the basic economy is from local GDP an activity that is focused on activities within the local economic structure. Gross Domestic Product (GDP) is an important indicator to understand economic conditions, especially in Bangka Regency in a certain period, both based on current prices and constant prices. The data collection process was carried out using a secondary data survey by taking data on land area and production of biopharmaceutical plant commodities, vegetable crops, rice or secondary crops, plantations and fisheries. By calculating the location quotient analysis, the base sector is obtained in every sub-district in Bangka Regency so that this result is expected to determine the investment can be carried out on target.

METHOD OF INCREASING THE STABILITY OF THE INFORMATION AND COMMUNICATION NETWORK UNDER THE INFLUENCE OF THE ENEMY BASED ON THE DETERMINATION OF THE REFERENCE NETWORK VERSION

2020 ◽  
Author(s):  
С.А. БАГРЕЦОВ ◽  
Э.А. БУДАРИН ◽  
О.С. ЛАУТА ◽  
М.В. МИТРОФАНОВ
Keyword(s):  
Communication Network ◽  
Information Flow ◽  
Network Traffic ◽  
Communication Systems ◽  
Reference Network ◽  
Computing Systems ◽  
Electronic Warfare ◽  
Information And Communication ◽  
The Stability

Сетевой трафик, проходящий через современные вычислительные системы, представляет собой огромный информационный поток, который содержит сведения различной степени важности. Показана необходимость использования наиболее рациональных приемов повышения устойчивости сети в радиоэлектронной борьбе, чтобы заставить противника затрачивать больше времени на подбор новых принципов воздействия на системы связи. Network traffic passing through modern computing systems is a huge information flow, which contains information of varying degrees of importance. It is shown the necessity of using the most rational methods of increasing the stability of the network in electronic warfare to force the enemy to spend more time on selecting new principles of influence on communication systems.

Determination of economic sector in East Kalimantan, Indonesia

2018 ◽  
Vol 11 (3) ◽  
pp. 182-201
Author(s):  
Zaini Achmad
Keyword(s):  
Financial Services ◽  
Production Factor ◽  
Economic Sector ◽  
Economic Base ◽  
Economic Sectors ◽  
Location Quotient ◽  
Content Type ◽  
East Kalimantan ◽  
Multiplier Effect

Purpose This paper aims to analyze the superior economic sector by looking at its contribution to the gross regional domestic product (GRDP) of East Kalimantan Province, the economic base, the multiplier effect and the strength of inter-sectoral linkages. Design/methodology/approach This study was designed through two research approaches, namely, quantitative and qualitative method. This is intended to complement the results of the phenomenon under study and to strengthen the analysis. Secondary data were analyzed by the level of contribution of the economic sectors to the GRDP, and the base sector was determined through the location quotient approach. The two methods of calculation helped to reveal the dominant economic sectors in East Kalimantan Province. The Input Output (IO) Table in 2016 was made up dated from the 2009 IO Table to be used as a basis for building Social Accounting Matrix data or known as the East Kalimantan Regional Socio-Economic Balance System (SEBS) (a matrix of 49 × 49 sectors) in 2017 by using the RAS method. To be consistent, these SEBS data are then aggregated so all commodities are combined into economic sectors used to determine the leading sector on the East Kalimantan Province SEBS in 2016 (a matrix of 41 × 41 sectors). Findings Based on the assessment by scoring of the criteria for determining the leading economic sectors in East Kalimantan, i.e. the contribution of the economic sector to GRDP, the economic base, the multiplier effect (income, production factor, and output) and the linkages between sectors, both backward and forward linkage, shows the ten leading sectors as follows: the trade; paper and printed goods; financial institutions and other financial services; fertilizer; chemical and other rubber products; hotel and restaurant; general government; fisheries; excavation; and mining without oil and gas. Originality/value Similar research has never been done before in East Kalimantan; this is one of the originalities of this present study. No previous study has comprehensively studied the mediating effects of tourist value perception on the determination of economic sector, especially in Kalimantan, Indonesia.

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