scholarly journals Potensi Pengembangan Komoditas Unggulan Tanaman Pangan Berdasarkan Analisis Location Quotient (LQ) di Kabupaten Langkat

2021 ◽  
Vol 2 ◽  
pp. 356-361
Author(s):  
Shabil Hidayat ◽  
M.A. Girsang ◽  
Sarman P. Tobing ◽  
Khairiah Khairiah ◽  
Lermansius Haloho ◽  
...  
Keyword(s):  
Location Quotient

Spatial and Institutional Analysis of the Voivodships Expenditure on Culture in the Years 2003 – 2015

e-Finanse ◽  
2019 ◽  
Vol 15 (3) ◽  
pp. 67-75
Author(s):  
Adam Mateusz Suchecki
Keyword(s):  
Local Government ◽  
Public Administration ◽  
Local Governments ◽  
Local Level ◽  
Institutional Analysis ◽  
The State ◽  
Cultural Institutions ◽  
Location Quotient ◽  
Local Authorities ◽  
National Heritage

AbstractFollowing the completion of the process of decentralisation of public administration in Poland in 2003, a number of tasks implemented previously by the state authorities were transferred to the local level. One of the most significant changes to the financing and management methods of the local authorities was the transfer of tasks related to culture and national heritage to the set of tasks implemented by local governments. As a result of the decentralisation process, the local government units in Poland were given significant autonomy in determining the purposes of their budgetary expenditures on culture. At the same time, they were obliged to cover these expenses from their own revenues.This paper focuses on the analysis of expenditures on culture covered by the voivodship budgets, taking into consideration the structure of cultural institutions by their types, between 2003-2015. The location quotient (LQ) was applied to two selected years (2006 and 2015) to illustrate the diversity of expenditures on culture in individual voivodships.

Peranan Sektor Pertanian dalam Perekonomian Kabupaten Manokwari

Agrotek ◽  
2018 ◽  
Vol 3 (1) ◽  
Author(s):  
Kunto Wibowo
Keyword(s):  
Agricultural Sector ◽  
Raw Materials ◽  
Secondary Data ◽  
Least Square ◽  
Food Crops ◽  
Literature Study ◽  
Location Quotient ◽  
Ordinary Least Square ◽  
Plantation Crops ◽  
Vegetables And Fruits

<em>The agricultural sector</em><em> is a strategic sector in Manokwari regency. The agricultural sector provides a major contribution in the regional economy, an economic base of rural people, dominate the life of most residents in this region and provider of food and raw materials for other sectors. The purpose of this study was to determine how big the contribution of different sub-sectors that exist in the agricultural sector, which analyzes sectors influential in changing the economic structure of agriculture in the area and know the potential commodities that can be developed in an effort to enhance the role of the agricultural sector. The research method used through literature study and analysis of secondary data sourced from the relevant authorities. To find out how big the factors that influence changes in economic structures of domination of the agricultural sector into non-agricultural sector estimates used Ordinary Least Square (OLS). For the determination of the potential commodities that can be seeded used method approach Location Quotient (LQ). The results showed the greatest contribution of the different sub-sectors within the agricultural sector contained in the food crops sub-sector. Based on the rate of growth per year, plantation crops sub-sector occupied the highest positions. The sectors that provide real impact on the agricultural sector's contribution to the regional gross domestic product �of the building sector and services sector. Potential commodities that can be developed in different areas in Manokwari regency include food crops and pulses, vegetables and fruits and livestock including cows, goats, pigs and chicken.</em>

Analisis Sektor Unggulan dan Transformasi Struktural di Provinsi Kalimantan Tengah 2010 – 2016

2017 ◽  
Vol 5 (03) ◽  
pp. 184-205
Author(s):  
Maria Christina ◽  
Yuli Pratiwi
Keyword(s):  
Location Quotient

Pembangunan dan pertumbuhan ekonomi merupakan dua hal yang saling berkaitan. Kedua hal tersebut tidak akan berjalan maksimal apabila proses pembangunan tidak memperhatikan potensi daerah. Dengan mengidentifikasi sektor-sektor unggulan maka potensi daerah dapat diketahui sehingga perencanaan pembangunan berjalan efektif dan efisien. Tingkat pertumbuhan ekonomi Provinsi Kalimantan Tengah merupakan tertinggi se-Kalimantan. Provinsi Kalimantan Tengah dapat memperoleh PDRB yang lebih besar dan meningkatkan pertumbuhan ekonomi jika mampu memanfaatkan potensi yang dimiliki. Tujuan studi ini untuk mengetahui sektor-sektor unggulan yang memiliki potensi untuk dikembangkan dan menganalisis sektor-sektor tersebut untuk menentukan prioritas pembangunan yang tepat, serta meningkatkan upaya pemerintah daerah dalam mendukung pengembangan potensi ekonomi unggulan. Penelitian ini merupakan penelitian kuantitatif deskriptif dengan menggunakan data sekunder. Hasil studi menunjukkan bahwa sektor ekonomi potensial berbasis pada analisis Location Quotient, Tipologi Klassen, analisis Shift Share, dan analisis Overlay adalah sektor pertanian, kehutanan, dan perikanan, sektor industri pengolahan, dan sektor perdagangan besar dan eceran. Perekonomian Kalimantan Tengah mengalami transformasi struktural yang ditandai dengan menurunnya peranan sektor pertanian, dan semakin meningkatnya peranan sektor industri dan jasa. Dukungan Pemerintah Provinsi Kalimantan Tengah dapat terlihat dari RPJPD dan RPJMD serta alokasi APBD yang telah memprioritaskan dan memfokuskan pembangunan ekonomi pada sektor-sektor unggulan.

How tourism industry agglomeration improves tourism economic efficiency?

2021 ◽  
pp. 135481662110091
Author(s):  
Zhoufei Li ◽  
Huiyue Liu
Keyword(s):  
Positive Impact ◽  
Regional Analysis ◽  
Tourism Industry ◽  
Scale Efficiency ◽  
Eastern Region ◽  
Location Quotient ◽  
Industry Agglomeration ◽  
Central Regions ◽  
National Perspective ◽  
The Impact

The agglomeration of the tourism industry has important effects on its efficiency. This article used panel data on the Chinese provincial tourism industry for the 2011–2016 period, applied the location quotient index and three-stage data envelopment analysis method to, respectively, measure the degree of agglomeration and efficiency, and explained the impact of agglomeration on tourism efficiency. The empirical results of this study indicate the following. (1) China’s tourism industry shows a trend towards agglomeration, revealing gradient differences where the highest degree of agglomeration is in the eastern region, followed by the western and central regions. (2) After eliminating random and environmental factors, the adjusted efficiencies are lower than the unadjusted efficiencies. The average overall tourism efficiency is higher in the eastern region than in the central and western regions. (3) From the national perspective, industrial agglomeration can significantly improve the overall efficiency (TE), pure technical efficiency (PTE), and scale efficiency of the tourism industry. (4) Based on regional analysis, the agglomeration of the eastern tourism industry can significantly enhance its TE and PTE. Agglomeration for the western area has a significant positive impact on PTE. There is no significant relationship between agglomeration and efficiency in the central region.

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.

Formulation and application of a multi-variable location quotient index in the Mpumalanga Province, South Africa

2021 ◽  
pp. 026909422110495
Author(s):  
Daniel F Meyer ◽  
Ferdinand Niyimbanira
Keyword(s):  
South Africa ◽  
Strategy Development ◽  
Measurement Tool ◽  
Location Quotient ◽  
Regional Economic ◽  
Mpumalanga Province ◽  
Consistent Model ◽  
New Formula ◽  
Regional Economic Analysis ◽  
Employment Data

Leading regions drive economic growth and development, and it is important to determine which sectors are driving growth. Leading sectors need to be supported while lagging sectors need to be guided towards growth. The location quotient method has been used as a regional economic development measurement tool using a single variable, mostly employment data. This paper aims to formulate and apply a multi-variable location quotient index (MVLQI), which includes four variables, allowing for a more comprehensive and consistent model. A new formula was developed as part of the methodology, and a classification matrix and index coefficient values were categorised. The new model was tested and applied in the Mpumalanga Province, South Africa, between 2012 and 2017. A normal index was calculated for both years and a dynamic index based on the four variables included in the model. The study’s contribution is that the outcomes from the MVLQI provide analysts with more comprehensive and consistent results for economic strategy development. The new MVLQI could be used with success in regional economic analysis in identifying sectors with high levels of concentration, comparative advantage and calculation of multipliers.

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