scholarly journals ANALISIS SEKTOR UNGGULAN DI KABUPATEN NAGAN RAYA TAHUN 2012 - 2017(Analysis of Leading Sectors in Nagan Raya Regency, in 2012 – 2017)

2019 ◽  
Vol 8 (1) ◽  
pp. 40
Author(s):  
Safarul Aufa

This study was aimed at highlighting the leading sectors of economy in Nagan Raya Regency. The data were gained from Gross Domestic Regional Product (GDRP) on the basis of diverse  economic sectors in Nagan Raya Regency from 2012 to 2017. This research utilized two types of calculation method, namely Location Quotient (LQ) and Klassen’s Typology method. When overlay was carried out between the method of LQ and Klassen’s Typology method, it could be concluded that sub-sectors of Agriculture, Animal Husbandry, Hunting  and Agricultural service were could classified as more leading sectors in Nagan Raya because these sectors suited the criteria of those two methods. Sub-sectors  of Forestry and Logging, and sectors of Mining and Excavation merely matched the criteria of LQ method.  Accordingly, construction sector was in line with Klassen’s Typology. However, the classifications of Klassen Typology method which encompassed the progressing and growing sector categories in Nagan Raya Regency were as follows 1) Sub-Sector of Agriculture, Animal Husbandry, Hunting and Agricultural Service and  2) Construction Sector. The potential sectors were  1) Industrial Processing Sector 2) Electricity Power Provision Sector 3) Accommodation, Drink and Food Sector 4) Finance and Insurance Service. However, the categories of saturated sectors included 1) Mining and Excavation and 2) and a Large Scale Business and a Retail Business, Car and Motorcycle Reparation. Meanwhile, the categories of lagging sectors were 1) Forestry  and Logging, 2) Sub-Sector of Fisheries 3) Water Provision, Garbage Management, Wastes and Recycling 4) Transportation and Warehousing; 5) Information and Communication; 6) Real Estate 7) Company Service 8) Government Administration; Defense and Required Social Security 9) Educational Service 10) Health Service; Social Activities and 11) Other sorts of services.

2018 ◽  
Vol 1 (2) ◽  
Author(s):  
Ismail A Ibrahim

Abstract Development must be viewed as a multidimensional process that includes a variety of fundamental changes to social structure, attitudes of the community, and national institutions, while continuing to pursue accelerated economic growth, handling income inequality, and alleviating poverty.The expected research objective is to analyze the leading sectors and employment in Gorontalo Regency so that the benefits of this study are expected: 1) as a reference in policy making related to the leading sector development strategy and Manpower Absorption in Gorontalo District, 2) can provide an overview of various potential existing sectors as an option to become workers so that they can provide their income every year in Gorontalo Regency, 3) can provide information and become an opportunity for investment investment which is the biggest part of available labor shelter in Gorontalo District.The Analysis Method used in this study is Location Quotient (LQ) to determine the role of the sector in the reference area (Gorontalo Province). And the results of the study indicate that the results of several economic sectors in Gorontalo Regency have economic (base) advantages: Sector mining and quarrying, Processing Industry Sector, Electricity and Gas Procurement Sector, Construction Sector, Information and Communication Sector, Financial Sector and Sector which have high employment absorption are Fisheries, Forestry and Agriculture, Processing Industry Sector. Abstrak Pembangunan harus dipandang sebagai suatu proses multidimensional yang mencakup berbagai perubahan mendasar atas struktur sosial, sikap-sikap masyarakat, dan institusi-institusi nasional, di samping tetap mengejar akselerasi pertumbuhan ekonomi, penanganan ketimpangan pendapatan, serta pengentasan kemisikinan.Adapun tujuan penelitian yang diharapkan adalah untuk menganalisis sektor unggulan dan penyerapan tenaga kerja di Kabupaten Gorontalo sehingga manfaat penelitian ini diharapkan : 1) sebagai acuan dalam pengambilan kebijakan terkait dengan strategi pengembangan sektor unggulan dan Penyerapan tenaga kerja di Kabupaten Gorontalo, 2) dapat memberikan gambaran dari berbagai potensi sektor unggulan yang ada sebagai pilihan untuk menjadi tenaga kerja sehingga dapat memberikan pendapatan mereka pada setiap tahunnya di Kabupaten Gorontalo, 3) dapat memberikan informasi dan menjadi peluang bagi penanaman isvestasi yang menjadi bagian yang terbesar bagi penampungan tenaga kerja yang tersedia di Kabupaten Gorontalo.Metode Analisis yang digunakan dalam penelitian ini adalah Location Quotient (LQ) untuk menentukan besarnya peranan sektor tersebut pada wilayah referensi (Provinsi Gorontalo).Dan hasil Penelitian menujukkan bahwa telah diperoleh hasil beberapa sektor ekonomi di Kabupaten Gorontalo mempunyai keunggulan ekonomi (basis) adalah :Sektor pertambangan dan penggalian, Sektor Industri Pengolahan, Sektor Pengadaan listrik dan gas, Sektor konstruksi, Sektor Informasi dan komunikasi, Sektor Keuangan dan Sektor yang memiliki kontribusi penyerapan tenaga kerja yang tinggi adalah Sektor Perikanan, Kehutanan dan pertanian, Sektor Sektor Industri Pengolahan.   


2020 ◽  
Vol 25 (3) ◽  
pp. 313-330
Author(s):  
Navid Ahmadi Esfahani ◽  
Mohsen Shahandashti

Purpose The primary objectives of this study are to (1) highlight subsectors and industry groups of the construction sector that are most vulnerable to weather-related disasters (with highest labor cost escalation) and (2) analyze how immediate this labor wage escalation happens in different subsector of the construction sector. Design/methodology/approach The research methodology consists of three steps: (i) integrating various data sources to enable measurement of the county-level labor wage changes following large-scale weather-related disasters; (ii) measuring postdisaster labor wage changes at the county level; and (iii) comparing amount and timing of postdisaster labor wage changes among all sub-sectors (and industry groups) of the construction sector. Findings The results show that among the three construction subsectors (Heavy and Civil Engineering Construction subsector, Construction of Buildings subsector, and Specialty Trade Contractors sub-sector), Heavy and Civil Engineering Construction subsector is the most vulnerable to weather-related disasters. The industry groups under the Heavy and Civil Engineering Construction subsector showed the same vulnerability level; however, under the Construction of Buildings subsector, Industrial Building Construction industry group showed to be the most vulnerable; and under the Specialty Trade Contractors subsector, the Building Foundation and Exterior Contractors industry group is the most vulnerable. The results also showed that in approximately 75% of the damaged counties, there were increases in wages of all construction labors, over the following three quarter after the disasters. In average, labor wages in Construction of Buildings subsector and the Specialty Trade Contractors subsector decreased by 0.6% and 0.8%, respectively, in the quarter of disaster and gradually increased by 4.4% and 4.6%, respectively, in the following three quarters. On the other hand, Heavy and Civil Engineering Construction’s labor wages did not experience this decrease right after the disasters; wages increased immediately after disasters hit the counties and continually increased by 8.6% in three quarters after the disasters. It is expected that the results of this study will help policy makers, cost estimators and insurers to have a better understanding of the post-disaster construction labor wage fluctuations. Originality/value This study is unique in the way it used construction labor wage data. All data are location quotient, which makes the comparison among the affected counties (with different construction size) feasible.


2014 ◽  
Vol 12 (1) ◽  
pp. 1 ◽  
Author(s):  
Ahmad Afan Ayubi

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.


Jurnal Ecogen ◽  
2018 ◽  
Vol 1 (2) ◽  
pp. 474
Author(s):  
Azizatul Jannah ◽  
Tri Kurniawati

The purpose of this research is to find out the besic sector that has fast growth in region Kabupaten Agam. This research is descriptive quantitative research with the method is location quotient analysi, shift share analysi. This research is using sekunder data from PDRB Kabupaten Agam and PDRB Sumatera Barat Province with the permanen price in year 2010 from 2012-2016. Based on the location quotient analysis. The risult showed that there were four sector basic. Sector agrikultural, forestry, fishery, industrial processing, large trade, retail, car and bike repaired, education service. Based on the Shift Share analysis, sectors that have a fast growth rate are forestry and fisheries agriculture, mining and quarrying, construction, large trade, retail, car and bike repaired, transportation and warehousing, information and communication, government administration, mandatory defense and social security , education services, health services and social activities. Keyword: Base Sector, Location Quotient (LQ) analysis, Shift Share analysis


2019 ◽  
Vol 11 (02) ◽  
pp. 83-97
Author(s):  
Muh Fuad Randy ◽  
Muh. Indra Fauzi Ilyas ◽  
Abdul Sumarlin

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


2020 ◽  
Vol 8 (1) ◽  
pp. 1
Author(s):  
Nurmaya Yulianti ◽  
Rizki Firmansyah ◽  
Sri Sundari

This study aims to determine the leading economic sectors of the Balikpapan City in preparing for the New Capital City of Indonesia. This phenomenon is related to the management of leading sectors in the concept of article defense economy. Where the utilization of leading economic sectors are part of national resources as an effort to improve the standard of living of the people can improve welfare, create security stability and strengthen national defense. This study uses secondary data in the form of Gross Regional Domestic Product (GRDP) of Balikpapan City and East Kalimantan Province in 2016-2018. This research uses a quantitative approach to analyze the data collected. The analytical tools: 1). Location Quotient (LQ) analysis can be used to determine the basis and non-base sectors in the economy of Balikpapan City. 2). Shift Share Analysis is used to determine changes and shifts in the economic structure of the City of Balikpapan. The results of the analysis of 17 sectors based on the two analysis tools show that the leading and potential sectors in the City of Balikpapan are the transportation and warehousing sector; processing industry; information and communication.


2019 ◽  
Vol 5 (3) ◽  
Author(s):  
Ahmad Rizani Rizani

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.


2020 ◽  
Vol 3 (1) ◽  
pp. 282-287
Author(s):  
Mohammad Wahed

The purpose of this study is to analyze the economic potential in order to increase employment in the city of Surabaya. Compilation of mapping analysis of economic potential in employment in Surabaya will use two basic research designs, namely Exploratory and Descriptive Research which is carried out in stages. From the results of the calculation of the Location Quotient index (base and non basis), the Differential Shift component (internal growth component), and the Proportional Shift component (external growth component) as well as the sectoral typology of economic sectors explains that there are three potential sectors in the Surabaya City area namely: Transportation Sector, Accommodation Provision Sector, and Information Sector. While the economic sector according to the business field, the highest economic growth was achieved by the business of the Provision of Accommodation and Food and Drink followed by the growing Information and Communication business field and finally the Construction business field.


Analisis ◽  
2020 ◽  
Vol 18 (2) ◽  
pp. 11-26
Author(s):  
Estherlina Sagajoka

This research aims to determine the economic sector of base and Non-base in Ende district in the period 2013-2017. The methods used in this study are quantitative descriptive.  The analysis tool used is the Location Quotient (LQ) Analysis of the Location Quotient analysis results showed that the base sector of the 2013-2017 period is 1). Large and retail sectors, car repair and motorcycles (1.42); 2). Transportation and warehousing sectors (1.28); 3). The Real Estate sector (1.17); 4) Industrial processing sector (1.14); 5). Education services sector (1.13); 6). Other services Sectors (1.12); 7). Water procurement sector waste treatment Limbag and recycling (1.10); 8). Construction sector (1.02). And non-base sectors are 1). Corporate services sector (0.03); 2). The accommodation provision sector drinking food (0.49); 3). Information and communication sectors (0.60); 4). Health services and social activities sectors (0.82); 5). Sector of government administration, defence and Social Security mandatory (0.84); 6). Agriculture, Forestry and fisheries sector (0.92); 7). Supply and Gas procurement sector (0.93); 8). Financial services and insurance sector (0.98); and 9). Mining and excavation sector (0.99). The base sectors can be the leading sector for the economic development of Ende District also can be a trigger for other economic sectors that will impact the increase in revenues, increase in PDRB and economic growth  in Ende District in general.


2019 ◽  
Vol 2 (1) ◽  
pp. 51
Author(s):  
Bunaya Bunaya

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


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