Gotowe bibliografie tematyczne / Location Quotient (LQ)

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Gotowa bibliografia na temat „Location Quotient (LQ)”

Autor: Grafiati

Data publikacji: 2 czerwca 2025

Data aktualizacji: 31 lipca 2025

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Artykuły w czasopismach na temat "Location Quotient (LQ)"

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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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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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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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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Części książek na temat "Location Quotient (LQ)"

Ergen, Barış, and Muhammed Özgür Oğuz. "Researching Sustainable Rural Development With Location Quotient Method in Yozgat (2006-2016)." In Practice, Progress, and Proficiency in Sustainability. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7158-2.ch011.

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This chapter investigates employment structure with regard to sustainable rural development for the NUTS-4 regions. In this research, the Location Quotient (LQ) method was used to provide statistical knowledge on geographical location and clustering. The employment structure is examined under three categories: 1) number of employees contributing to rural production using traditional methods; 2) number of employees in vegetable and animal production, and logging and fishing; and 3) number of employees in the food industry. Of these three areas of interest, the LQ method could not be applied to

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Streszczenia konferencji na temat "Location Quotient (LQ)"

Maulana, Yogi Sugiarto, Andri Helmi Munawar, Dian Hadiani, Ratningsih, and Taufik Wibisono. "Location Quotient Analysis (LQ) in Determining the Excellent Commodity." In 1st International Conference on Science, Health, Economics, Education and Technology (ICoSHEET 2019). Atlantis Press, 2020. http://dx.doi.org/10.2991/ahsr.k.200723.015.

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Mapaliey, Davidsen O., Robert O. K. Munaiseche, and Jenly D. I. Manongko. "Application of the Liquent Quotient Method in Effecting the Selection of the Cassava Land Location in South Minahasa District." In Unima International Conference on Science and Technology 2022. Trans Tech Publications Ltd, 2023. http://dx.doi.org/10.4028/p-fkhi6r.

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This research was conducted as an effort to implement the liquent quetiont (LQ) method in making the selection of cassava land locations effective in South Minahasa Regency. The process of data grouping and decision making among the South Minahasa government has not yet produced optimal conditions, especially on various semi-structured problems. Therefore, with conditions like this, the availability of the right land can help make good and fast decisions. The analysis was carried out using the LQ method based on formal and informal information obtained directly about cassava land. As a result,

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Sari, Putri, Gina Elmizan, Selly Desweni, Yolamalinda Yolamalinda, and Yosi Putri. "Potential Analysis of The Economic Sector in Efforts to Increase Economic Growth with Location Quotient (LQ) Analysis." In Proceedings of the 1st International Conference on Economic and Education, ICON 2021, 14 - 15 December 2021, Padang-West Sumatra, Indonesia. EAI, 2022. http://dx.doi.org/10.4108/eai.14-12-2021.2318343.

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Xu, Jiahui, Song Chen, and Taofang Yu. "Development of industrial lands and influencing factors towards new economy strategies in China." In Post-Oil City Planning for Urban Green Deals Virtual Congress. ISOCARP, 2020. http://dx.doi.org/10.47472/ytdo4390.

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Industrial lands in China deserve new investigation as China is transferring from the high- speed development mode into new normal economy stage. We measured the development of industrial lands in China in the past two decades. Using urban industrial-construction proportion and location quotient for industrial lands (LQ) as indicators, we found that: (1) Industrial lands were generally growing slower than construction lands, and the national proportion decreased to about 20%; (2) Hot spot provinces, with a LQ above 1, and hot spot capital cities, with a proportion above 20%, were concentrating

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