scholarly journals The Priorities of Leading Sub-Sector in The Sector of Agriculture, Forestry, and Fisheries in Economic Development in Bangka Belitung Province

2021 ◽  
Vol 7 (2) ◽  
pp. 160-175
Author(s):  
Garist Sekar Tanjung ◽  
Any Suryantini ◽  
Arini Wahyu Utami
Keyword(s):  
Economic Development ◽  
Analytical Method ◽  
Location Quotient ◽  
Dynamic Location ◽  
Sector Performance ◽  
Constant Prices

The aim of the study is to determine the priorities of the leading sub-sector in agriculture, forestry, and fisheries on economic development in The Province of Bangka Belitung Island. The descriptive-analytical method is used to describe and explain the dynamical performance of each sub-sector. The sub-sector performance is represented by GRDP of Bangka Belitung Province and GDP of Indonesia based on constant prices in 2010 for the 2010-2020 periods. Analysis of Klassen Typology, Location Quotient (LQ), and Dynamic Location Quotient (DLQ) are conducted to determine the sub-sector and its position among other sub-sectors. The analysis results show that the plantation crop is a leading sub-sector priority for the economic development in the Bangka Belitung Province.

scholarly journals PENENTUAN SEKTOR EKONOMI UNGGULAN SEBAGAI PRIORITAS PEMBANGUNAN EKONOMI MARITIM

2019 ◽  
Vol 1 (1) ◽  
Author(s):  
Fajri Hatim ◽  
Karim Abubakar
Keyword(s):  
Economic Development ◽  
Analytical Hierarchy Process ◽  
Development Policy ◽  
Secondary Data ◽  
Primary Data ◽  
Economic Sectors ◽  
Location Quotient ◽  
Economic Development Policy ◽  
Hierarchy Process ◽  
Constant Prices

Penelitian ini bertujuan untuk menganalisis sektor unggulan apa saja yang merupakan sektor dasar pembangunan ekonomi maritim dan merumuskan strategi kebijakan dalam pembangunan ekonomi maritim di Kabupaten Halmahera Selatan. Penelitian ini merupakan penelitian deskriptif denga metode yang digunakan adalah survey. Data yang digunakan dalam penelitian ini adalah data primer yakni kuesioner dan data sekunder yakni data Produk Domestik Regional Bruto (PDRB) Kabupaten Halmahera Selatan dan PDRB provinsi Maluku Utara tahun 2013-2017 menurut lapangan usaha dan harga konstan. Analisis digunakan dengan metode Location Quotient (LQ) dan Analytical Hierarchy Process (AHP). Hasil penelitian menunjukkan bahwa sejumlah sector merupakan sektor basis kabupaten Halmahera Selatan selama lima tahun. Analisis strategi kebijakan pembangunan ekonomi maritim Kabupaten Halmahera Selatan menunjukkan bahwa ada tiga kriteria yang dapat dikembangkan untuk peningkatan pembangunan ekonomi maritim.Kata Kunci: Sektor Ekonomi Unggulan, Pembangunan Ekonomi Maritim This study aims to analyze what leading sectors are the basic sectors of maritime economic development in South Halmahera Regency. This research is descriptive study with method used is survey. The data used in this study are primary data namely questionnaires and secondary data namely Gross Regional Domestic Product (GRDP) of South Halmahera Regency and GRDP of North Maluku province periode 2013-2017 according to business field and constant prices. The analysis is used by the Location Quotient (LQ) and Analytical Hierarchy Process (AHP) methods. The results showed that a number of sectors were the base sectors of South Halmahera district for five years. Analysis of the maritime economic development policy strategy in South Halmahera District shows that there are three criteria that can be developed to increase maritime economic development.Keywords: Leading Economic Sectors, Maritime Economic Development

Analysis of Revenue Inequality and Development of Leading Economic Sectors of District and City in Banten Province, Indonesia

2021 ◽  
Vol 2 (1) ◽  
pp. 24-33
Author(s):  
Bima Mulia ◽  
Mohamad Arief Setiawan ◽  
Kalfin Kalfin
Keyword(s):  
Economic Development ◽  
Time Series Data ◽  
Secondary Data ◽  
Series Data ◽  
Time Data ◽  
Economic Sectors ◽  
Location Quotient ◽  
Interregional Inequality ◽  
Dynamic Location ◽  
Underdeveloped Region

The imbalance of inter-regional economic development is a common phenomenon that occurs in the process of economic development of a region. This interregional inequality was originally caused by differences in natural resource content and differences in demographic conditions in each region. As a result of these differences, the ability of an area to increase economic growth and encourage the development process also becomes different. Therefore, it is not surprising that in every region there is usually a relatively developed region and a relatively underdeveloped region. This study aims to analyze how big the level of income inequality that occurs between regencies/cities in Banten Province. Identifying the base sector in each district/city in Banten Province, and predicting the base sector in the future in each Regency/City of Banten Province. Data used in this study is secondary data in the form of time series data to see Developments and changes that occur over a period of time. Data analysis used in this research is Location Quotient (LQ), Dynamic Location Quotient (DLQ), Williamson and Thiel Index. The results of this study are inequality that occurred in Banten is measured by using Williamson Index included in the category of Medium Inequality. On the measurement of Thiel Entropy Index, inequality in Lebak Regency is the lowest and Kota Cilegon has the highest imbalance in Banten Province.

scholarly journals ANALISIS PERTUMBUHAN DAN PERGESERAN SRUKTUR EKONOMI KABUPATEN INDUK DI PROVINSI BENGKULU

2020 ◽  
Vol 2 (1) ◽  
pp. 54-69
Author(s):  
Sunoto Sunoto ◽  
Bertha Iin Esti Indraswanti ◽  
Edy Rahmantyo Tarsilohadi
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Economic Development ◽  
Economic Performance ◽  
Time Series Data ◽  
Economic Structure ◽  
Series Data ◽  
Location Quotient ◽  
Dynamic Location ◽  
Secondary Time

The purpose of this research was to analyze economic growth and shifting of economic structure of the origin district in Bengkulu Province. Base on BPS secondary time series data (2001-2017), descriftive analysis was used to analyze economic growth and shifting economic structure, specialty after the region otonomous era (OTDA).  The DLQ and SSA method was used to determine the potential and leading sectors to increase economic performance. The result of this research was conclude that expansion of the the region in Bengkulu Provinsi has positif impact on economic development for the origin district. The economis structure was shifting from premier sector to secondary and tertier sector. The potential and leading sector after OTDA become more than before (from 4 or 5 sector to 7 untul 9 sector).  Keywords :  Dynamic Location Quotient 1, Shift Share Analysis 2, Economic Growth 3, Economic Structure 4, Potential and Leading Sector 5

scholarly journals Convergence and Potential Economic Development in the Special Region of Yogyakarta

2019 ◽  
Vol 14 (1) ◽  
Author(s):  
Yustirania Septiani
Keyword(s):  
Economic Development ◽  
Low Income ◽  
Secondary Data ◽  
Economic Sectors ◽  
Location Quotient ◽  
Fishing Sector ◽  
Panel Data Regression ◽  
Data Regression ◽  
Dynamic Location ◽  
Special Region

This study aims to determine whether there is a lag between a region with another, to determine whether the regions with low income will be able to catch up with regions with higher income. The objectives of this study are to analyze the convergence that might occur in Yogyakarta and analyze the potential economic sectors in economic development in Yogyakarta. This study used panel secondary data, the data were obtained from 5 regions in Yogyakarta from 2010-2015. The methods were panel data regression, location quotient, dynamic location quotient, and shift share. The result showed that there was no convergence, but there was divergence, and competitive and specialized sectors in regencies / cities in Yogyakarta were agricultural, forestry, and fishing sector, mining and excavation sector, processing industry sector, procurement of electricity and gas sector, water supply, waste management and recycling sector, construction sector, and transportation and trade sector.Keywords: Convergence, Potential Sector, Economic Development.

scholarly journals Analisis Penentuan Sektor Unggulan Perekonomian Di Kawasan Minapolitan Provinsi Jawa Timur

2020 ◽  
Vol 9 (1) ◽  
pp. 9-14
Author(s):  
Siti Nurafiah ◽  
Endah Kurnia Lestari ◽  
Siti Komariyah
Keyword(s):  
Analytical Method ◽  
Location Quotient ◽  
Fish Resources ◽  
The Future ◽  
Dynamic Location ◽  
Marketing Activities

Fisheries are all activities that related to the management, utilization of fish resources and their environment, including production, processing and marketing activities that carried out in a fisheries business. The purpose of this study was to analyze the growth and potential of the district fisheries sub-sector in the Minapolitan Region of East Java Province. The analytical method that used in this study are Location Quotient (LQ), Dynamic Location Quotient (DLQ), and Shift Share Esteban Marquillas (SS-EM). The analysis of the Location Quotient (LQ) showed that from 2012 to 2016 district that had the highest average LQ was Lamongan District ( LQ 7.81). The analysis of the Dynamic Location Quotient (DLQ) showed that the district with the highest potential/ competitiveness in the future is Blitar (DLQ 1.40).

scholarly journals Kontribusi Sektor Pertanian terhadap Produk Domestik Regional Bruto (PDRB) di Kabupaten Tabalong

2020 ◽  
Vol 9 (2) ◽  
pp. 756-762
Author(s):  
Azwar Saihani ◽  
Lina Heldayani
Keyword(s):  
Analytical Method ◽  
Rapid Growth ◽  
Agricultural Sector ◽  
Slow Growth ◽  
The Other ◽  
Food Crops ◽  
Location Quotient ◽  
Contribution Analysis ◽  
Constant Prices

       This study aims to determine the basis and non-basis, the contribution and growth of each agricultural subsector to the GRDP in Tabalong Regency from 2013 to 2017. The analytical method used is the Location Quotient analysis, contributions, and shift-share. The data used are Tabalong Regency GRDP data from 2013 to 2017 based on constant prices. The time of the study starts from June 2018 until August 2019. The results of the study based on the Location Quotient analysis show that the subsector that is the base subsector is the plantation subsector while the other subsectors such as food crops, horticulture, and fisheries are the non-basis subsector in Tabalong Regency. The results of the Contribution analysis show that of the five agricultural subsectors in Tabalong District, the highest contribution to the agricultural sector was the plantation subsector in the last five years by 47.87%. The results of the Shift Share analysis show the growth of each agricultural sub-sector in the economy of the Tabalong district is different as seen from the proportional growth of the food crops, livestock and fisheries sub-sectors experiencing rapid growth while the horticulture and plantation sub-sectors experienced slow growth. which is not competitive or less competitive with other regions in South Kalimantan Province.This study aims to determine the basis and non-basis, the contribution and growth of each agricultural subsector to the GRDP in Tabalong Regency from 2013 to 2017. The analytical method used is the Location Quotient analysis, contributions, and shift-share. The data used are Tabalong Regency GRDP data from 2013 to 2017 based on constant prices. The time of the study starts from June 2018 until August 2019. The results of the study based on the Location Quotient analysis show that the subsector that is the base subsector is the plantation subsector while the other subsectors such as food crops, horticulture, and fisheries are the non-basis subsector in Tabalong Regency. The results of the Contribution analysis show that of the five agricultural subsectors in Tabalong District, the highest contribution to the agricultural sector was the plantation subsector in the last five years by 47.87%. The results of the Shift Share analysis show the growth of each agricultural sub-sector in the economy of the Tabalong district is different as seen from the proportional growth of the food crops, livestock and fisheries sub-sectors experiencing rapid growth while the horticulture and plantation sub-sectors experienced slow growth. which is not competitive or less competitive with other regions in South Kalimantan Province.

scholarly journals The Impact of Economic Specialization on Regional Economic Development in the European Union: Insights for Formation of Smart Specialization Strategy

Economies ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 76
Author(s):  
Giedrė Dzemydaitė
Keyword(s):  
Economic Development ◽  
Development Strategy ◽  
Regional Economic Development ◽  
The European Union ◽  
Location Quotient ◽  
Regional Economic ◽  
Clear Cut ◽  
Smart Specialization ◽  
Economic Specialization ◽  
The Impact

The smart specialization concept was implemented in the EU in 2014, stating that regions have to specify specialization areas for development of innovations. Economic specialization reveals a comparative advantage in that field. However, there are different arguments linking specialization to economic development. This study analyzes these arguments and aims to investigate the impact of economic specialization on regional economic development and to give insights into identifying prospective areas in regional economies. A panel fixed effect estimation of industry-level regional data suggests that economic specialization in broader regional employment, called relative specialization, is ambiguously associated with economic development. Our findings suggest that neither economic specialization nor economic diversity are a clear-cut solution for ensuring economic growth. Economic structure in EU regions differs, and there is no one answer for which approach is better for economic development. Specialization measures, particularly the location quotient, cannot fully capture the dynamics in the industry structure that could be essential for formation of regional development strategy.

scholarly journals The Industry Cluster Approach for Tourism Development of Central Vietnam

2016 ◽  
Vol 11 (5) ◽  
pp. 167 ◽  
Author(s):  
Truong Hong Trinh
Keyword(s):  
Cluster Analysis ◽  
Economic Development ◽  
Value Chain ◽  
Regional Economic Development ◽  
Production Network ◽  
Economic Activities ◽  
Industry Cluster ◽  
Location Quotient ◽  
Regional Economic ◽  
Central Vietnam

Industry cluster is frequently mentioned in the literature of the regional economic development, but there are a few studies about identifying competitive clusters in the region. For this reason, the paper approaches cluster analysis for identifying competitive clusters in Central Vietnam. From location quotient and shift-share analysis, the result reveals that tourism cluster is a competitive cluster for the regional economic development. Then, the study develops the tourism cluster in central Vietnam that includes tourism cluster profile, tourism production network, and tourism value chain. Moreover, the study result provides a basic framework for industry cluster analysis that help policy makers and economic developers to understand economic activities, characteristics of competitive cluster and supranational characters in the regional economy, then deliver strategy and policies for tourism cluster development of Central Vietnam.

scholarly journals PENENTUAN SEKTOR UNGGULAN PEREKONOMIAN WILAYAH KABUPATEN BONE BOLANGO DENGAN PENDEKATAN SEKTOR PEMBENTUK PDRB

ETIKONOMI ◽  
2012 ◽  
Vol 11 (2) ◽  
Author(s):  
Fitri Amalia
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Population Growth ◽  
Regional Economic Development ◽  
Location Quotient ◽  
Main Condition ◽  
Regional Economic ◽  
Economic Needs

Economic growth and its process are the main condition for the sustainability of the regional economic development. Because of the continuing population growth means economic needs also increase so that additional revenue required each year. This research is focused to determine the regional leading sector of Bone Bolango as the information and considerations in planning economic development. Location Quotient (LQ) and Shift Share are tools of analysis. Location Quotient analysis indicates agriculture, manufacture, finance, leasing and corporate services are base sectors in the Bone Bolango district. Shift Share analysis indicates that the competitive sectors are finance, leasing and corporate services. The results was indicate that the leading sector with the criteria developed, base, and competitive is finance and services sectorDOI: 10.15408/etk.v11i2.1893

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.

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