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Journal articles on the topic 'Location Quotient (LQ)'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Martínez-Alpañez, Rubén, José Daniel Buendía-Azorín, and María del Mar Sánchez-de-la-Vega. "A New Improvement Proposal to Estimate Regional Input–Output Structure Using the 2D-LQ Approach." Economies 11, no. 1 (2023): 20. http://dx.doi.org/10.3390/economies11010020.

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The use of location quotients for the estimation of regional input–output tables has been found to be a useful and efficient tool to estimate intraregional production coefficients and multipliers. This paper considers some regionalisation methodologies based on location quotients for the estimation of input–output tables—some of which have hitherto not been analysed at the regional level—and studies which one provides the best estimation (best goodness of fit). We focus the analysis mainly on the accuracy of Flegg’s location quotient (FLQ) and two-dimensional location quotient (2D-LQ). The ana

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2

Buendía, Azorín José Daniel, Alpañez Rubén Martínez, and de la Vega María del Mar Sánchez. "A New Improvement Proposal to Estimate Regional Input–Output Structure Using the 2D-LQ Approach." Economies 11, no. 20 (2023): 1–17. https://doi.org/10.3390/economies11010020.

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The use of location quotients for the estimation of regional input–output tables has beenfound to be a useful and efficient tool to estimate intraregional production coefficients and multipliers.This paper considers some regionalisation methodologies based on location quotients for theestimation of input–output tables—some of which have hitherto not been analysed at the regionallevel—and studies which one provides the best estimation (best goodness of fit). We focus the analysismainly on the accuracy of Flegg’s location quotient (FLQ) and two-dimensional location

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3

Hakim, Ahmad Dzikrul, Siti Nur Qomariyah, and Ambar Susanti. "IDENTIFIKASI SEKTOR UNGGULAN DALAM PEMBANGUNAN WILAYAH DI KABUPATEN JOMBANG DENGAN PENDEKATAN LQ, DLQ, SHIFTSHARE." AGROSAINTIFIKA 3, no. 1 (2021): 169–77. http://dx.doi.org/10.32764/agrosaintifika.v3i2.942.

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Penelitian ini bertujuan untuk mengetahui sektor unggulan perekonomian daerah Kabupaten Jombang. Penelitian ini menggunakan data sekunder berupa data time series dari produk domestik regional bruto (PDRB) atas dasar harga konstan tahun 2010 Kabupaten Jombang dan Provinsi Jawa Timur tahun 2015-2019. Alat analisis yang digunakan dalam penelitian ini yaitu: 1) Analisis Location Quotient (LQ) digunakan untuk menentukan sektor basis dan non basis dalam perekonomian Kabupaten Jombang. 2) Analisis Dynamic Location Quotient (DLQ) digunakan untuk mengetahui pergeseran peranan sektor perekonomian Kabupa

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Gafur, Gafur, Muhammad Safri, and Siti Hodijah. "Analisis Sektor/Sub Sektor Unggulan di Kabupaten Bungo." Jurnal Perspektif Pembiayaan dan Pembangunan Daerah 3, no. 3 (2016): 175–94. http://dx.doi.org/10.22437/ppd.v3i3.3519.

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Abstract. This study aimed to analyze the leading sectors in Bungo. The method used is Location Quotient (LQ), Dynamic Location Quotient (DLQ), specialization index, Growth Ratio Model (MRP). Based on analysis of LQ and DLQ, there are only two basis sectors at present and in the future, namely the construction sector and trade, hotels and restaurants. Based on the analysis of Specialization Index, in Bungo Regency has a concentration of the economy in the agricultural sector and the manufacturing sector. Based on MRP analysis also showed that prominent sector growth at the level of Bungo and J

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Nurafiah, Siti, Endah Kurnia Lestari, and Siti Komariyah. "Analisis Penentuan Sektor Unggulan Perekonomian Di Kawasan Minapolitan Provinsi Jawa Timur." Jurnal Ekonomi Pembangunan 9, no. 1 (2020): 9–14. http://dx.doi.org/10.23960/jep.v9i1.62.

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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 t

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6

Dhandy, Rahmat, Septine Brillyantina, Dini Nafisatul Mutmainah, Elis Rahmawati, and Mar’atus Solihah. "ANALISIS LOCATION QUOTIENT PADA SEKTOR TANAMAN SAYURAN DI KABUPATEN NGAWI." AGRIBIOS 22, no. 2 (2024): 205. https://doi.org/10.36841/agribios.v22i2.5505.

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The agricultural sectors that are developed should be sectors that have a major contribution to economic growth in Ngawi Regency. The aim of this research is to analyze which sectors have priority development in Ngawi Regency. This needs to be done so that subsectors that have the potential for the progress of vegetable crops in the region can be optimized. In this way, regions can find out about economic progress as a result of development in the agricultural sector in their region. This research analyzes the contribution of the basic vegetable subsector to the economic growth of the agricult

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Supriyanto supriyanto and Vica W. P. Kaparang. "IDENTIFIKASI SEKTOR UNGGULAN KABUPATEN MINAHASA: ANALISIS DENGAN PENDEKATAN LOCATION QUOTIENT (LQ)." Jurnal Ilmiah Multidisiplin Ilmu 1, no. 5 (2024): 99–105. https://doi.org/10.69714/djs1cf37.

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This study aims to identify and analyze the leading sectors in the economy of Minahasa Regency for the 2019-2023 period using the Location Quotient (LQ) method. The data used is secondary data in the form of Gross Regional Domestic Product (GRDP) of Minahasa Regency and North Sulawesi Province obtained from the Central Bureau of Statistics. The results of the analysis show that there are several basic sectors with an LQ value> 1, namely agriculture, forestry and fisheries (LQ = 1.28), mining and quarrying (LQ = 1.28), processing industry (LQ = 1.15), electricity and gas supply (LQ = 1.18),

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Ghania, Sarah, Khusnul Khatimah, and Viyolanda Azrimultiya. "Identifikasi Sektor Ekonomi Unggulan di Provinsi Jawa Barat." Journal of Development Economic and Digitalization 4, no. 1 (2025): 14–30. https://doi.org/10.59664/jded.v4i1.10496.

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Penelitian ini bertujuan untuk mengidentifikasi sektor-sektor ekonomi unggulan di Provinsi Jawa Barat. Metode yang digunakan dalam penelitian ini adalah metode deskriptif kuantitatif dengan menggunakan data sekunder yakni data PDRB Jawa Barat dan PDB Indonesia tahun 2010-2023 yang diperoleh dari Badan Pusat Statistik. Alat analisis pada penelitian ini adalah Location Quitoent (LQ) dan Dynamic Location Quotient. Hasil penelitian menunjukkan terdapat beberapa lapangan usaha yang menjadi sektor unggulan di Jawa Barat dimana sektor-sektor tersebut memiliki nilai LQ>1 dan DLQ>1. Sektor unggul

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Nahumury, Marthen A. I., and Muhammad Abdullah Tawakal. "ANALISIS LOCATION QUOTIENT (LQ) LAPANGAN USAHA PRODUK DOMESTIK REGIONAL BRUTO." Musamus Journal of Economics Development 2, no. 1 (2019): 11–16. http://dx.doi.org/10.35724/feb.v2i1.2475.

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This research aims to see the flagship sector or the base sector in Merauke Regency. The type of data in this research is the data that is made from the central body statistic the District of Merauke with a time period 2016-2018. The method used in this study is the Location Quotient (LQ) which is often used to see the development of the base sector in an area with the criteria LQ > 1 = base sector, LQ < 1 = Not a superior sector and if LQ = 1 Then the sector is only able to Meet the needs of its own region. The results of this study were obtained, almost all the business sec

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Nie, Taowen, Na Li, and Feng Yan. "Distortion and Improvement Method of Location Quotient in Water Consumption Evaluation." Mathematical Problems in Engineering 2022 (May 16, 2022): 1–6. http://dx.doi.org/10.1155/2022/9600265.

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Location quotient (LQ) is a widely used model to evaluate the spatial aggregation of water consumption. The conventional view is that all the domains of the LQ values in different water-using departments are [0, +∞). The larger the LQ is, the higher the degree of water consumption concentration is. With the water consumption structure evaluation of Northwest China as an illustration, this study shows the following: (i) The conventional LQ has a distortion phenomenon. The agricultural water consumption of Xinjiang Province accounts for more than 70.4% of the total water consumption in the whole

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Ariyanto, Anto, Desma Harmaidi, Khairunnas Khairunnas, and Hamdan Yasid. "ANALYSIS OF LOCATION QUOTIENT AND SHIFT SHARE IN RIAU PROVINCE." Agrisocionomics: Jurnal Sosial Ekonomi Pertanian 8, no. 1 (2023): 71–81. http://dx.doi.org/10.14710/agrisocionomics.v8i1.17136.

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Sustainable economic growth is an absolute requirement for the economic development of a region, both on a regional and national scale. The government should develop sectors that are capable of providing a multiplier on other sectors. This is also very much needed by the Province of Riau. This study aims to identify and analyze the leading sectors that have competitive competitiveness and to determine the priority of the base sector as information material and considerations especially for the Provincial Government of Riau in the development of economic development in the future. This study us

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Taluari, Tryskhania Vennysia, Christoporus Christoporus, and Sulmi Sulmi. "ANALISIS KOMODITI BASIS SUBSEKTOR TANAMAN PANGAN KABUPATEN TOJO UNA-UN." Jurnal Pembangunan Agribisnis (Journal of Agribusiness Development) 2, no. 1 (2022): 50–59. http://dx.doi.org/10.22487/jpa.v2i1.1647.

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Penelitian ini bertujuan untuk mengetahui tanaman pangan yang menjadi basis dan non-basis dan mengetahui perubahan yang terjadi pada tanaman pangan yang akan datang di Kabupaten Tojo Una-una. Penelitian ini dilakukan di Kabupaten Tojo Una-una dengan menggunakan data sekunder yaitu data jumlah produksi pangan tahun 2017-2021. Analisis yang digunakan yaitu analisis Location Quotient (LQ) dan Dynamic Location Quotient (DLQ). Hasil analisis LQ menunjukkan bahwa komoditi jagung,kacang tanah,dan ubi kayu merupakan komoditi basis karena memiliki nilai LQ> 1 dan komoditi padi,ubi jalar dan kedelai

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13

Mulyanto, Junaedi Dwi, and LUCKY RACHMAWATI. "ANALISIS SEKTOR POTENSIAL DAN PERUBAHAN STRUKTUR EKONOMI PROVINSI JAWA TIMUR." Independent: Journal of Economics 1, no. 2 (2021): 124–40. http://dx.doi.org/10.26740/independent.v1n2.p124-140.

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Abstrak Penelitian ini bertujuan untuk menganalisis potensi industri berdasarkan metode location quotient (LQ), yaitu struktur perekonomian daerah berdasarkan metode Shift Share, yang dapat dilihat dari PDRB Provinsi Jawa Timur tahun 2018-2019. Analisis Location Quotient (LQ) sering digunakan untuk melihat perbandingan antara kawasan dan negara. Analisis transfer share biasanya digunakan untuk menganalisis peran suatu sektor atau transfer suatu sektor di suatu daerah ke sektor yang sama dalam perekonomian nasional. Studi ini menyimpulkan bahwa struktur ekonomi sektor pertanian, kehutanan

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14

Dalle, Nautus Stivano, Hendrikus Demon Tukan, Elisabeth Yulia Nugraha, and Wigbertus Gaut Utama. "POTENSI PENGEMBANGAN PETERNAKAN BABI BERDASARKAN ANALISIS LOCATION QUOTIENT." Jambura Journal of Animal Science 5, no. 2 (2023): 16–22. http://dx.doi.org/10.35900/jjas.v5i2.18889.

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The purpose of this study is to determine areas in Manggarai that have potential in pig development. The method used in this study is secondary data observation of Manggarai Regency and will be analyzed using Location Quotient (LQ) analysis. The results showed that the areas that received LQ 1 scores were Satar Mese, West Satar Mese, Wae Ri'i, Cibal and West Reok districts. This means that the region has not been able to meet the needs of its own territory and is still importing from other regions. While the sub-districts that received LQ 1 scores were North Satar Mese, Langke rembong, Ruteng,

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15

Ningrum, Astria candra. "Analisis Location Quotient (LQ) Pada Tanaman Hias di Kecamatan Cidahu Kabupaten Sukabumi." Journal of Agribusiness, Social and Economic 5, no. 1 (2025): 15–20. https://doi.org/10.32585/jase.v5i1.5664.

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Plants that have special characteristics, one of which is ornamental plants, almost all regions in Indonesia are planted with ornamental plants. Of course, each region has different potential and characteristics, so it is necessary to identify the superior potential that exists in the area. The research objective is to analyse the Location Quotient LQ on ornamental plants in Cidahu District. The method used is location quotient LQ analysis, the research location is located in Cidahu District, Sukabumi Regency. The results showed that the plant species Philodendron has a value > 1, it shows

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16

Meiliza, Shelly. "Analisis Location Quotient Kabupaten Kampar Tahun 2016-2020." JIP ( Jurnal Industri dan Perkotaan ) 18, no. 1 (2022): 21. http://dx.doi.org/10.31258/jip.18.1.21-31.

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This study aims to analyze what sectors are included in the basic and non-base sectors in encouraging economic growth in Kampar Regency in 2016-2020. This study uses secondary data obtained from the website of the Central Statistics Agency of Kampar Regency with a time span of 2016 to 2020. The analytical technique used is Location Quotient (LQ) analysis.The results of the LQ analysis show that of the 17 economic sectors, there are 4 sectors that are the basis of the sector or superior in Kampar Regency with an average LQ greater than 1, namely the agriculture, forestry and fisheries sector, m

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17

Fetra, Riza, Erfit Erfit, and Zamzami Zamzami. "Analisis produk tanaman pangan dan hortikultura serta strategi pengembangannya di Kabupaten Kerinci." Jurnal Paradigma Ekonomika 16, no. 3 (2021): 589–600. http://dx.doi.org/10.22437/jpe.v16i3.12261.

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The data used is secondary data in the 2015-2019 period. The data analysis method uses Location Quotient (LQ) analysis, Dynamic Location Question (DLQ), and SWOT analysis. The purpose of this study is to determine whether the commodity understudy is included in the base sector or non-base sector by using Location Quotient (LQ) analysis, Dynamic Location Question (DLQ), and its development strategy in Kerinci Regency using SWOT analysis. It was found that the commodities of shallots, chilies, potatoes, cabbage, Chinese cabbage, sweet potatoes, and tomatoes were included in the base commodities

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Rosa, Yenni Del. "Pariwisata Sebagai Sektor Unggulan Provinsi Sumatera Barat (Pendekatan Analisis Location Quotient)." Ekonomis: Journal of Economics and Business 3, no. 2 (2019): 208. http://dx.doi.org/10.33087/ekonomis.v3i2.83.

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This study aims to determine the leading business fields that support the tourism sector in the South Coastal district and the province of West Sumatra. PDRB panel data were collected from the Central Statistics Agency in 2014 - 20i8 with saturated sampling technique. To determine the leading business field per region, the Location Quetiont (LQ) method is used. The results of the LQ method analysis show that the South Coastal District has 4 leading business fields but the dominant one supporting the development of the tourism sector is only the agricultural business field (LQ = 1.70). Likewise

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Gaffar, N. F., Mahyuddin, and A. N. Tenriawaru. "Commercial Advantages of Soybeans Commodities South Sulawesi." IOP Conference Series: Earth and Environmental Science 921, no. 1 (2021): 012071. http://dx.doi.org/10.1088/1755-1315/921/1/012071.

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Abstract The first step towards an efficient agriculture is the determination of superior commodities that are sought in order to obtain commodities that have a comparative advantage. The purpose of this study is to analyze the comparative advantages of soybean commodity in the production center areas, namely Bone Regency and Takalar Regency, South Sulawesi. The location selection was done purposively with the consideration that Bone Regency and Takalar Regency were one of the soybean production centers in South Sulawesi. The research method is quantitative analysis using Location Quotient Ana

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Pamungkas, Binar Dwiyanto, A. Asmini, and Muhammad Kevin. "IDENTIFIKASI KOMODITAS UNGGULAN PERTANIAN UNTUK PENGEMBANGAN EKONOMI DAERAH TERTINGGAL DI KABUPATEN SUMBAWA BARAT." Jurnal Ekonomi & Bisnis 10, no. 1 (2022): 19–30. http://dx.doi.org/10.58406/jeb.v10i1.727.

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This study aims to determine the leading agricultural commodities found in each sub-district that is lagging behind in West Sumbawa Regency. This type of research is descriptive, the analytical tool used to solve the problem in this research is Location Quotient (LQ) analysis. The results of the Location Quotient (LQ) analysis show that the most superior agricultural commodities in economically disadvantaged sub-districts in West Sumbawa Regency consist of three agricultural commodities, namely: rice, corn, and cattle.

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Hanifah, Isna Nur, and Prayudi Setiawan Prabowo. "Analisis Sektor Basis dan Sektor Prospektif Kabupaten Nganjuk pada Tahun 2019-2021." Independent: Journal of Economics 2, no. 3 (2022): 110–23. http://dx.doi.org/10.26740/independent.v2n3.p110-123.

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Abstrak   Laju pertumbuhan ekonomi Kabupaten Nganjuk selama tahun 2019-2021 sangat fluktuatif terutama pada tahun 2020 yang terkontraksi hingga -1,71 persen akibat pandemic covid-19, sehingga perlu percepatan pertumbuhan ekonomi wilayah dengan menentukan sektor utamanya terlebih dahulu. Penelitian ini bertujuan untuk mengetahui sektor basis dan sektor prospektif Kabupaten Nganjuk selama periode 2019-2021. Metode yang digunakan dalam penelitian ini adalah deskriptif kuantitatif dengan analisis Location Quotient (LQ) dan Dynamic Location Quotient (DLQ). Hasil penelitian dengan analis

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Iswanto, Toto, and Maya Widyastiti. "PENENTUAN LOKASI BASIS DAN NON BASIS PENYEBARAN VIRUS CORONA (COVID-19) MENGGUNAKAN METODE LOCATION QUOTIENT (LQ)." EKOLOGIA 22, no. 1 (2022): 25–30. http://dx.doi.org/10.33751/ekologia.v22i1.4892.

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The corona virus pandemic that has hit the entire world is a threat to the order of people’s lives in all field so it must be solved quickly. This study aims to determine the location of the Basic and non-Basic of the spread of corona virus in Lubuk Besar district, Province of Bangka Belitung Island. Data used is this study are the number of population and the number of COVID-19 cases in Lubuk Besar district, Bangka Belitung Province. This research is a descriptive type of research with a quantitative approach using the Location Quotient Method. The results showed that in January 2021 there ar

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Tangkelangi, Sandarupa, Arifuddin Lamusa, and Hadayani Hadayani. "ANALISIS BASIS SUBSEKTOR PERTANIAN DI PROVINSI SULAWESI TENGAH." AGROTEKBIS : E-JURNAL ILMU PERTANIAN 11, no. 4 (2023): 1013–20. http://dx.doi.org/10.22487/agrotekbis.v11i4.1820.

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Tujuan dari penelitian ini adalah untuk mengetahui subsektor pertanian basis di Sulawesi Tengah pada saat ini dan dimasa yang akan dating, dengan menggunakan data sekunder. Analisis data menggunakan metode LQ dan DLQ. Berdasarkan hasil analisis Location Quotient, subsektor perkebunan, kehutanan serta perikanan adalah subsektor basis dengan rata-rata nilai LQ>1. Subsektor tanaman pangan, tanaman hortikultura serta peternakan adalah subsektor non basis dengan rata-rata nilai LQ<1 pada sektor pertanian di Provinsi Sulawesi Tengah. Hasil analisis Dynamic Location Quotient, subsektor tanaman

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Hashfi, Hasbiul. "Analysis Of Leading Sectors In West Sumatra Province." Jurnal Pajak dan Keuangan Negara (PKN) 5, no. 1 (2023): 1–10. http://dx.doi.org/10.31092/jpkn.v5i1.2247.

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This study analyzes the changing economic structure of West Sumatra, Indonesia from 2017-2022 using location quotient (LQ) and dynamic location quotient (DLQ) techniques. The analysis identifies current concentrated export-oriented sectors like agriculture, manufacturing, transportation and government services based on high LQ values. Meanwhile, DLQ analysis reveals emerging competitive sectors such as mining and declining sectors like agriculture based on shifts in employment. The combined LQ and DLQ analyses provide insights into West Sumatra’s economic base and structural changes. Electrici

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Astasari, Cynthia Paramita, Jabal Tarik Ibrahim, and Harpowo Harpowo. "Analisis Location Quotient (LQ) Komoditas Cabai di Kabupaten Kediri." Agriecobis : Journal of Agricultural Socioeconomics and Business 1, no. 2 (2018): 11. http://dx.doi.org/10.22219/agriecobis.vol1.no2.11-22.

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Chili is vegetables that have an important role in agriculture in Indonesia. Generally, the amount of chili production is determined by the harvested area and productivity of the land. Chili is one of the main horticulture products in Indonesia. Kediri District is potential as a center of chili’s production. According to Ibrahim, 2012 there are four major sub-district in the production of chili commodities, such as Kepung District, Puncu District, Papar District, and Pagu District. The determination of a commodity to be a superior commodity in Kediri District based on the consideration that no

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Angelina, Mega Asriyanti. "ANALISIS SEKTOR POTENSIAL PERENCANAAN PEMBANGUNA DI KOTA BINJAI TERHADAP PEREKONOMIAN PROVINSI SUMATERA UTARA." JOURNAL ECONOMICS AND STRATEGY 3, no. 2 (2022): 43–59. http://dx.doi.org/10.36490/jes.v3i2.422.

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Perencanaan pengembangan secara efektif dan efisien digunakaan ketika sudah mengetahui potensi masing-masing lokasi. Tujuan dari penelitian ini adalah untuk mengidentifikasi dan mengkaji sektor basis serta daerah yang berpotensi untuk dikembangkan di kota Binjai Provinsi Sumatera Utara. Informasi data dikumpulkan dari dokumen yang didapat dari lembaga pemerintah, seperti: Badan Pusat Statistika kota Binjai, dan Badan Pusat Statistika provinsi Sumatera Utara. Pada penulisan materi ini menggunakan 2 analisis yaitu teknik analisis Location Quotient (LQ), dan analisis Dynamic Location Quotient (DL

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Rizani, Ahmad. "ANALYSIS OF LEADING SECTORS POTENTIAL FOR ECONOMIC DEVELOPMENT PLANNING IN MALANG CITY." Journal of Developing Economies 5, no. 1 (2020): 21. http://dx.doi.org/10.20473/jde.v5i1.18547.

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This study aims to identify and determine the leading sectors in Malang City to illustrate leading economic activities that can be developed to boost economic potential in Malang City. The analysis tools used include Shift-Share, Location Quotient (LQ), and Growth Ratio Model (GRM) analysis. The results show that: (1) shift-share analysis showed that the economy of Malang City during the period 2010-2016 increased by Rp. 12,926,565.5 million. The increase in economic performance in Malang City can be seen from 16 (sixteen) sectors of economic activity that are positive; (2) Location Quotient (

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Dinan, Rois. "Analisis Competitive Advantage dalam Kajian Sektor Perekonomian Unggulan Kabupaten Bima, Provinsi NTB." Jurnal Wilayah dan Kota 9, no. 02 (2022): 60–70. http://dx.doi.org/10.34010/jwk.v9i02.7769.

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ABSTRAK Penelitian ini berfokus untuk mengkaji sektor perekonomian yang memiliki daya saing di Kabupaten Bima. Kajian ini menggunakan basis data produk domestik regional bruto (PDRB) Kabupaten Bima pada tahun tahun 2017-2021. Dimana akan ditentukan lapangan usaha yang memiliki daya saing (competitive advantage) tertinggi dari 17 lapangan usaha yang ada. Alat analisis yang digunakan dalam menentukan lapangan usaha yang memiliki daya saing ialah analisis location quotient (LQ) dan shift-share (SS). Dalam analisisi LQ terbagi menjadi 3 tahap uji. Pertama mencari nilai static location quotie

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Sitorus, Reyza Suwanto, Rahmad Syukur Siregar, and Ira Apriyanti. "Analysis of Location Quotient of Cassava Commodity Potential Areas in North Sumatera." Semarak International Journal of Agriculture, Forestry and Fisheries 2, no. 1 (2024): 1–8. https://doi.org/10.37934/sijaff.2.1.18.

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The research was designed to identify the superior agricultural commodities in each regency and city within North Sumatra province. A descriptive research method was utilized to systematically describe and analyze the existing conditions in the region. The selection of North Sumatra as the research location was carried out deliberately, using a purposive sampling approach to ensure that the study focused on a region with diverse agricultural activities. The data collection process involved conducting surveys that relied on secondary data sources, which were systematically recorded and obtained

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Sitorus, Reyza Suwanto, Rahmad Syukur Siregar, and Ira Apriyanti. "Analysis of Location Quotient of Cassava Commodity Potential Areas in North Sumatera." Semarak International Journal of Agriculture, Forestry and Fisheries 2, no. 1 (2024): 1–8. https://doi.org/10.37934/sijaff.2.1.18b.

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The research was designed to identify the superior agricultural commodities in each regency and city within North Sumatra province. A descriptive research method was utilized to systematically describe and analyze the existing conditions in the region. The selection of North Sumatra as the research location was carried out deliberately, using a purposive sampling approach to ensure that the study focused on a region with diverse agricultural activities. The data collection process involved conducting surveys that relied on secondary data sources, which were systematically recorded and obtained

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Swantari, Anita, Heny Ratnaningtyas, and Filma Festivalia. "Agrotourism Development Using Location Quotient Analysis in Cibuntu-Kuningan Village." TRJ Tourism Research Journal 5, no. 2 (2021): 165. http://dx.doi.org/10.30647/trj.v5i2.126.

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Cibuntu Village is a sub-district area that is one of the villages that has the potential for the development of the agricultural, plantation, and livestock sectors. In addition to these sectors, the tourism sector with the concept of agrotourism is expected to be developed and will make a significant contribution to the economy in Cibuntu Village. The purpose of this study is to determine the location of tourist attractions in Cibuntu Village and determine the types of tourism that can be developed in that location. The data analysis method used is divided into two parts, namely policy analys

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Karimuna, Siti Rahmah, Sri Bananiek, Syafiuddin Syafiuddin, and Waode Al Jumiati. "Potensi Pengembangan Komoditas Peternakan di Sulawesi Tenggara." Jurnal Ilmu dan Teknologi Peternakan Tropis 7, no. 2 (2020): 110. http://dx.doi.org/10.33772/jitro.v7i2.12215.

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ABSTRAKSektor pangan merupakan sektor yang menjadi prioritas di Indonesia dalam pembangunan nasional. Salah satu sub-sektor pangan yaitu peternakan. Produksi daging, telur dan susu merupakan bagian utama produksi hasil peternakan. Sub-sektor peternakan memegang peranan penting dalam pengembangan agrobisnis di Provinsi Sulawesi Tenggara. Komoditas peternakan yang diusahakan rakyat di Provinsi Sulawesi Tenggara terdiri dari 7 jenis yaitu: sapi potong, kerbau, kuda, kambing, babi, ayam dan itik. Tujuan penelitian ini adalah untuk mengetahui potensi unggulan dan penyebaran komoditi sub-sektor pete

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Ririhena, Samel W. "ANALISIS SEKTOR POTENSIAL YANG BERPENGARUH TERHADAP PERTUMBUHAN EKONOMI DI KABUPATEN BOVEN DIGOEL 2007-2011." Musamus Journal of Economics Development 1, no. 1 (2018): 12–26. http://dx.doi.org/10.35724/feb.v1i1.1227.

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From the results of this study found that based on the Growth analysis, overall sector field effort in the Regency Boven Digoel period 2007-2011 has a positive growth except Electricity and Clean Water sector have negative growth in 2010 are registration-7,11 and on the Financial, Rent, and Business Services sektor in 2011 as much as -20,07. Sector base / superior sectors (LQ>1) based on analysis Location Quotient (LQ) namely the Agricultural sector, Industry Processing sector, and Building sector. Through analysis Shift Share classic known sector that have the skills competitive namely Min

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Fitri S. Kasim, Fatimah, Riski Thamrin G. Rifay, and Euis Syafitri. "The Role of the Fisheries Subsector in the Regional Economy of Tolitoli Regency." International Journal of Integrative Sciences 4, no. 1 (2025): 83–92. https://doi.org/10.55927/ijis.v4i1.13482.

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The purpose of this study was to determine the role of the fisheries subsector in the regional economy of Tolitoli Regency in 2018-2022. The type of research used is quantitative research with technical analysis of Location Quotient (LQ) analysis data with secondary data obtained from the Tolitoli Regency Central Statistics Agency (BPS). The results of this study indicate that the production of the Tolitoli Regency fisheries subsector according to the calculation of Location Quotient (LQ) analysis shows an average value for 2018-2022 of 0.69 which means less than 1 (LQ <1) and is included i

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Cahyani, Ni Komang Ayu Fitri Adi, Dwi Putra Darmawan, and Gede Mekse Korri Arisena. "Analisis Potensi Unggulan dan Daya Saing Sektor Pertanian di Kabupaten Tabanan." JURNAL MANAJEMEN AGRIBISNIS (Journal Of Agribusiness Management) 9, no. 2 (2021): 357. http://dx.doi.org/10.24843/jma.2021.v09.i02.p01.

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The agricultural sector in Tabanan Regency not only plays a role in food security, but also contributes significantly to sources of income. During the last five years the agricultural sector in Tabanan Regency has also contributed significantly to the GRDP of Tabanan Regency. The purpose of this study is to identify the superior potential of the agricultural sector in Tabanan Regency and to identify the competitiveness of the agricultural sector in Tabanan Regency. This study uses secondary data sourced from the Central Statistics Agency (BPS) of Tabanan Regency and Bali Province. There are tw

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Setiawan, Bagus Dimas, Zulhapi Utama Adlan, and Putri Zulia Jati. "IDENTIFIKASI POTENSI PENGEMBANGAN KERBAU RAWA DENGAN METODE LOCATION QUANTIENT (LQ) DI KABUPATEN MUSI RAWAS UTARA." Jurnal Peternakan~Borneo 2, no. 1 (2023): 8–12. http://dx.doi.org/10.34128/jpb.v2i1.11.

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Penelitian ini bertujuan untuk mengidentifikasi potensi kerbau rawa dengan menggunakan analisis LQ (Location Quotient) untuk mendukung pengembangan peternakan yang berkelanjutan. Penelitian ini bersifat deskriptif kualitatif. Data yang digunakan data sekunder dimana untuk dapat mengidentifikasi daerah basis pengembangan dengan analisis LQ (Location Quotient). Data yang diperoleh ditabulasi dan ditampilkan dalam bentuk tabel serta gambar kemudian dianalisis secara deskriptif kualitatif. Hasil penelitian menunjukan untuk daerah basis pengembangan ternak kerbau ada di tiga Kecamatan yaitu Kecamat

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Hanim, Wasifah, Hafni Adinda Prasca, Widhi Netraning Pertiwi, Helin Garlinia Yudawisastra, and Sugiartiningsih Sugiartiningsih. "Determination Analysis of Leading Commodity in the Melonguane National Border Strategic Area (NBSA)." Jurnal Economia 19, no. 1 (2023): 55–67. http://dx.doi.org/10.21831/economia.v19i1.51388.

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Border areas are the gateway for a country;generally, it is an underdeveloped area. This study aims to develop the economy based on only commodities in the National Strategic Activity Center (NSA) Melongguane, Kepulauan Talaud Regency, North Sulawesi Province. This study uses qualitative and quantitative approaches. The qualitative approach is based on the policy formulation of the North Sulawesi Provincial government and the Kepulauan Talaud Regency, namely the Regional Spatial Planning (RTRW) document. While the quantitative method with the Location Quotient (LQ) analysis. Based on the North

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Hamri, Ebed, Eka Intan Kumala Putri, Hermanto J. Siregar, and Deddy S. Bratakusumah. "KEBIJAKAN PEMEKARAN WILAYAH DAN PENGEMBANGAN PUSAT PERTUMBUHAN EKONOMI KOTA TASIKMALAYA." Jurnal Ekonomi dan Kebijakan Publik 7, no. 1 (2016): 111. http://dx.doi.org/10.22212/jekp.v7i1.412.

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Penelitian ini dilakukan di Kota Tasikmalaya sebagai kota hasil pemekaran tahun 2001 berkembang sebagai pusat pertumbuhan ekonomi di wilayah Priangan Timur Propinsi Jawa Barat. Penelitian bertujuan menganalisis perkembangan struktur perekonomian wilayah dan sektor unggulan yang menjadi daya saing perekonomian wilayah Kota Tasikmalaya dibandingkan daerah sekitarnya (hinterland), dengan menggunakan analisis Tipologi Klassen, Indeks Diversitas Entropi (IDE), Location Quotient dan Model Gravitasi. Penelitian menunjukkan hasil analisis tipologi klassen, Kota Tasikmalaya termasuk klasifikasi daerah

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Sinurat, Sonia Utami, and Evalina Pakpahan. "ANALSIS SEKTOR UNGGULAN KABUPATEN TAPANULI UTARA." VALUE 3, no. 2 (2023): 148–62. http://dx.doi.org/10.36490/value.v3i2.622.

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It is very important to know the leading sector in an area; to determine the determinants of economic growth in a region; and to estimate the growth prospects of the regional economic sector in the future. The data analysis technique used in this study is Location Quotient Analysis (LQ Analysis); Shiftshare Analysis; and Klassen Typology Analysis. Location Qoutient Analysis (LQ Analysis) is used to determine the leading sector in an area. The results of the Location Quotient analysis (LQ analysis) show that there is one sector that is currently a leading sector but does not have the potential

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Masmutia, Usman Affandi, Rahayu Relawati, and Nur Ocvanny. "ANALYSIS OF AGRICULTURAL SECTOR BASE IN MALANG REGENCY WITH GRDI AND LABOR INDICATORS." Jurnal Hexagro 8, no. 2 (2024): 131–40. https://doi.org/10.36423/hexagro.v8i2.1593.

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IndonesiIndonesia is a country that has abundant natural wealth. Agriculture plays an important role in the national economy. This study aims to determine whether the agricultural sector in Malang Regency is a leading sector and can become the basis and wheel of the regional economy in the present and the future with GRDP and Labor indicators. The analytical methods used are Location Quotient (LQ) and Dynamic Location Quotient (DLQ). Based on the results of LQ GRDI analysis at constant prices for 2015-2022, it proves that the agricultural sector in Malang Regency is a leading sector with an LQ

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Hardjono, Hardjono. "POLA PENGEMBANGAN SEKTOR PEREKONOMIAN BERBASIS AGRIBISNIS DALAM PERSPEKTIF PEMBANGUNAN BERKELANJUTAN DI PROPINSI BALI." EKUITAS (Jurnal Ekonomi dan Keuangan) 13, no. 1 (2017): 61. http://dx.doi.org/10.24034/j25485024.y2009.v13.i1.2117.

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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 (

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Palungan, Natalia, Tommy Fredy Lolowang, and Jane Sulinda Tambas. "Analisis Komoditas Sayuran Unggulan Kabupaten Minahasa Selatan." Journal of Agribusiness and Rural Development (Jurnal Agribisnis dan Pengembangan Pedesaan) 7, no. 1 (2025): 78–89. https://doi.org/10.35791/agrirud.v7i1.61253.

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This study aims to (1) describe the harvest area, production, and productivity of vegetable commodities in South Minahasa Regency and (2) identify vegetable commodities that have competitive advantages in the region. Secondary data on harvest areas and vegetable production for the 2019-2023 period from South Minahasa Regency and North Sulawesi were analyzed using the Location Quotient (LQ) method with a combined approach of Static Location Quotient (SLQ) and Dynamic Location Quotient (DLQ). The results showed that (1) the harvest areas of leeks and potatoes increased, while garlic experienced

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Gumelar, Yopy Pandhu Lintang, Arfida Boedirochminarni, and Dwi Susilowati. "ECONOMIC POTENTIAL ANALYSIS IN BLITAR REGENCY 2015-2020." Jurnal Ilmu Ekonomi dan Pembangunan 23, no. 2 (2023): 62. http://dx.doi.org/10.20961/jiep.v23i2.55543.

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<p>This study aims to identify the basic and non-basic economic sectors, determine leading sectors, and analyze sectoral growth patterns in Blitar Regency from 2015 to 2020. The research utilizes a quantitative descriptive approach, drawing on secondary data sources. Techniques employed include Location Quotient (LQ), Dynamic Location Quotient (DLQ), and Klassen Typology. The findings reveal that Blitar Regency has 8 basic sectors and 9 non-basic sectors. Additionally, the LQ and DLQ analysis identifies 7 leading sectors, 9 developing sectors, and 1 potential sector. The Klassen Typology

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Rizani, Ahmad. "ANALISIS POTENSI EKONOMI DI SEKTOR DAN SUBSEKTOR PERTANIAN, KEHUTANAN DAN PERIKANAN KABUPATEN JEMBER." Jurnal Ekonomi Pembangunan 15, no. 2 (2017): 137. http://dx.doi.org/10.22219/jep.v15i2.5361.

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This study aims to examine the economic potential in the sector and sub-sector of agriculture, forestry and fishery of Jember Regency. In addition, this study also identifies and determines the leading sectors and sub-sectors in Jember Regency to provide an overview of the leading economic activities that can be developed in increasing the economic potential in Jember District. Analyzer used in this research include analysis of Shift-Share, Location Quotient (LQ), and Growth Ratio Model (MRP). From the research result, it can be seen that: (1) shift-share analysis shows Jember Regency economy

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ALIYU, ABDULLAHI ALHAJI, MUSA DALIL, JAIYE J. DUKIYA, and EMMANUEL TANKO UMARU. "CLASSIFICATION OF SETTLEMENTS BY ECONOMIC POTENTIALS IN THE SOUTHERN REGION OF NIGER STATE: A LOCATION QUOTIENT APPROACH." Structure and Environment 15, no. 3 (2023): 125–32. http://dx.doi.org/10.30540/sae-2023-011.

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Regional economic activities and developments are measured through various techniques where Location Quotient (LQ) is one of the most reliable techniques. This paper classifies the settlements by economic potentials in the southern region of Niger state using the LQ. A structured questionnaire was administered to 1.040 in the 37 rural communities selected from 37 districts in 8 LGAs in the Niger South Federal constituency in Niger State. The data collected was analysed using LQ. Findings of the study in terms of economic potentials of the region, reveals that communities are mainly engaged in

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Qomariyah, Nor, Dwi Ratna Hidayati, and Mokh Rum. "Kajian Komoditas Unggulan Aquaculture Kabupaten Sumenep Jawa Timur." Jurnal Kebijakan Sosial Ekonomi Kelautan dan Perikanan 14, no. 2 (2025): 125. https://doi.org/10.15578/jksekp.v14i2.13626.

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Penentuan komoditas unggulan merupakan salah satu langkah awal dalam mewujudkan pembangunan perekonomian secara berkelanjutan. Penelitian ini bertujuan untuk mengetahui komoditas unggulan sub sektor perikanan budi daya di Kabupaten Sumenep yang mempunyai prospek dan daya saing yang tinggi untuk di kembangkan guna peningkatan perekonomian dan kesejahteraan masyarakatnya. Metode analisis data menggunakan analisis Location Quotient (LQ), Dynamic Location Quotient (DLQ), Typlogi Klassen dan Analisis Shift Share (SS). Data yang digunakan adalah data sekunder, meliputi data time series produksi komo

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Rosa, Yenni Del, and Nofri Yendra. "Kajian Sektor Unggulan Kota Padang di Provinsi Sumatera Barat Menggunakan Metode Location Quotient." Jurnal Ekonomi dan Bisnis Dharma Andalas 25, no. 1 (2023): 243–55. http://dx.doi.org/10.47233/jebd.v25i1.748.

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The purpose of the study was to identify the leading sectors as the leading sector in the city of Padang, the capital city of West Sumatra province, using the Location Quotient (LQ) method. The research data is in the form of secondary data, the type of ratio data, namely the GDP of the city of Padang in 2017-2021 according to the field of business (sector) based on the 2010 ADHB base year. The research population is 12 districts and 7 cities in the province of West Sumatra and the sample is the city of Padang determined by the purposive sampling technique. Processing and analyzing data using

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Pandriadi, Pandriadi. "ANALISIS DAYA SAING INDUSTRI MANUFAKTUR (IM) DI KABUPATEN OGAN KOMERING ULU (OKU) SELATAN." Jemasi: Jurnal Ekonomi Manajemen dan Akuntansi 16, no. 1 (2020): 110–23. http://dx.doi.org/10.35449/jemasi.v16i1.106.

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Abstract Manufacturing Industry (IM) is a part of economy elevator in OKU Selatan District. Unfortunaltely, the contribution of this sector, particularly to PDB is still low. This research aims to analize the competitiveness of IM in OKUS District by using Location Quotient (LQ) and SWOT Analysis. LQ analysis tried to compare the number of PDRB between OKUS District and South Sumatera Province. The result shows that the number of LQ are below 1. This means that IM in OKUS District still have low competitiveness. By using SWOT Analysis, it is in third quadrant. It means that actually IM h

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Khairul An-Nisa, Eka, Sahri, and Baiq Saripta Wijimulawiani. "Analisis Sektor Unggulan Sebagai Dasar Perencanaan Pembangunan Daerah Di Kabupaten Lombok Timur." JEMSI (Jurnal Ekonomi, Manajemen, dan Akuntansi) 10, no. 3 (2024): 1653–60. http://dx.doi.org/10.35870/jemsi.v10i3.2424.

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Penelitian ini bertujuan untuk menganalisis sektor unggulan di Kabupaten Lombok Timur serta mengkomparasikannya dengan sektor prioritas yang sudah ada. Analisis yang dilakukan dengan membandingkan Produk Domestik Bruto Atas Dasar Harga Konstan Kabupaten Lombok Timur 2010-2018 dan Produk Domestik Regional Bruto Atas Dasar Harga Konstan Provinsi Nusa Tenggara Barat 2010-2018. Penelitian ini merupakan penelitian kuantitatif dengan menggunakan model analisis Location Quotient (LQ) dan Statistik Deskriptif. Berdasarkan analisis LQ terdapat 9 sektor yang menjadi sektor basis di Kabupaten Lombok Timu

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Yustie, Renta, Ricky Angga Ariska, and Fadilla Purwitasari. "Tourism Development Towards International Competitive Tourism in Promoting The Economy of East Java." Journal of Developing Economies 7, no. 2 (2022): 365–76. http://dx.doi.org/10.20473/jde.v7i2.31429.

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The tourism sector is one of the economic sectors that has a characteristic and contributes to the GRDP (Gross Regional Domestic Product) in East Java. East Java has a large tourism potential with a pattern of tourism development that can contribute to increasing East Java's economic growth. The role of the tourism sector in East Java can improve the national economy and contribute to the national GDP (Gross Domestic Product) of Indonesia. This study aims to determine the development of the tourism sector in East Java during 2016 to 2020 using the LQ (Location Quotient) method so as to produce

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