scholarly journals Basic Sector Analysis and Development Strategy of Regional Economic Potential in Kulon Progo District 2013-2017

2021 ◽  
Vol 5 (1) ◽  
pp. 77-87
Author(s):  
Yonanda Mulya Isabhandia ◽  
Lilies Setiartiti

The research carried out in Kulon Progo Regency aims to analyze the economic potential that will exist to develop strategies that can be used to develop the economy in Kulon Progo Regency. This study uses data from 2013 to 2017 obtained from the Central Statistics Agency of Kulon Progo Regency and Yogyakarta Special Region. This study uses several analytical tools, namely Statistical Location Quotient (SLQ), Dynamic Location Quotient (DLQ), Shift Share Analysis, Klassen Typology Analysis, and the SWOT analysis approach. Based on the combined analysis of SLQ and DLQ, there are three sectors: the mining and quarrying sector, wholesale trade and retail, car and motorcycle repair, government administration, defense, and social security. These sectors are the crucial sectors at present and will remain the base sectors in the future.

2017 ◽  
Vol 13 (3A) ◽  
pp. 75
Author(s):  
Elein ., Mamahit ◽  
Paulus A. Pangemanan ◽  
Charles R. Ngangi

This study aims to (1) identify the leading sectors in the economic structure of East Bolaang Mongondow Regency as information and consideration in (2) formulating regional development strategies. This study uses time series data from Gross Regional Domestic Product (PDRB) of East Bolaang Mongondow Regency and North Sulawesi Province in 2010 - 2016. The analysis tool used in this research is Klassen Tipology, Location Quotient (LQ), and Shift Share analysis to determine the leading sectors and SWOT analysis. The result of per sector analysis based on these three analytical tools shows that which is the leading sector in East Bolaang Mongondow Regency with criteria of advanced and fast growing sector, basic and competitive sector, there are 2 sectors: (a) agriculture, forestry and fishery sector, (b) mining and quarrying sectors. To formulate regional development strategy used SWOT analysis tool. Based on the SWOT analysis, the strategy of regional development at East Bolaang Mongondow Regency with the superior sector is in quadrant III so that the appropriate strategy is turn around strategy. The Weakness Opportunity Strategy in Quadrant III, means minimizing weaknesses by taking advantage of opportunities.


2021 ◽  
Vol 16 (3) ◽  
pp. 589-600
Author(s):  
Riza Fetra ◽  
Erfit Erfit ◽  
Zamzami Zamzami

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 using the LQ method. In contrast, with the DLQ method, all the commodities studied would be the basis in the future.  


2020 ◽  
Vol 5 (1) ◽  
pp. 21
Author(s):  
Ahmad Rizani

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 (LQ) analysis showed the leading sectors in Malang City consisting of 7 (seven) sectors, i.e. water procurement, garbage, waste and recycling management, construction, retail and wholesale trade, car and motorcycle repair, financial and insurance services, education services, health services, and social activities and other services sector; (3) Growth Ratio Model (GRM) estimation showed that the dominant sectors of growth and large contributions consist of the retail and wholesale trade car and motorcycle repair, transportation and warehousing, accommodation and food provision, information and communication, financial and insurance services, real estate, education services and health services and social activities sectors; (4) weighting results based on Shift-Share, Location Quotient (LQ) analysis, and Growth Ratio Model (GRM) showed that five sectors based on the highest potential weighting results are the health services and social activities, education services, construction, retail and wholesale trade car and motorcycle repair, and financial and insurance services sector. Keywords: Economic Potential, Shift-Share, Location Quotient (LQ), Growth Ratio Model (GRM)JEL Classification: R58;R11;O41


2019 ◽  
Vol 5 (2) ◽  
pp. 85
Author(s):  
Citra Ayni Kamaruddin ◽  
Syamsu Alam

The purpose of this study is to map sectoral superior potential and changes in regional poverty levels in the Mamminasata region. The method used in this study is qualitative descriptive, using quantitative analysis tools, leading sector analysis tools such as Location Quotient (LQ), Growth Ratio Model (MRP), Overlay Analysis, and Klassen Typology. The results of the study show that there is still a high level of disparity in leading sectors in the Mamminasata region. The results of the analysis show that Makassar City has 12 leading sectors, Kab. Gowa, 7 leading sectors, Maros District 4 leading sector, and Takalar District 3 superior sector. While the results of the Klassen Typology analysis show that only Makassar City consistently shows 12 superior sectors in quadrant I (advanced and fast-growing sectors). While other regencies are only 3 sectors which are in quadrant I, other economic sectors are growing but depressed, there are also potential ones. In fact, Maros Regency and District. Takalar has 11 sectors that are still lagging behind. Based on the poverty mapping of districts / cities in the Mamminasata area, it shows that Makassar City and District. Gowa has an average number of poor people lower than South Sulawesi Province. Takalar Regency tends to be the same as South Sulawesi province, and there are paradoxical symptoms between GDP and poverty. Whereas Kab. Maros is above the poverty average of Prov. South Sulawesi. In aggregate poverty in the Mamminasata area declined during the study period. Makassar City, Kab. Gowa, Kab. Maros, even though the rate of growth declined, the number of poor people also declined. Whereas Takalar Regency has increased GDP but its poverty has also increased.


2022 ◽  
Vol 20 (1) ◽  
Author(s):  
Muhamad Hasan Muaziz ◽  
Andi Tri Haryono ◽  
Abdul Kadir Jaelani

<em>This study tries to analyze the implementation of laws and policies regarding the development of urban agglomerations, analyze agrarian law regulations in Indonesia addressing industrial estate issues, and analyze the leading sectors and economic potential of the city of Semarang. In this study, the authors use the Base Sector Analysis/LQ Analysis, Economic Sector Performance Analysis/Shift Share Analysis, Growth Ratio Model Analysis/GRM, Klassen Typology Analysis, Overlay Techniques, and SWOT Analysis to measure the competitive advantage of each element), and provide policy recommendations for the government as well as for industry players. The object of this research is spread over several industrial areas located in Semarang City including Wijaya Kusuma Industrial Area, Candi Industrial Area, BSB Industrial Park, and Terboyo Industrial Estate. The findings of this study are that it is known that leading sectors such as warehousing, financial services, transportation, retail, real estate, trade, and construction are economic bases that are growing rapidly and can support the development of urban agglomerations.</em>


Agro Ekonomi ◽  
2016 ◽  
Vol 26 (2) ◽  
pp. 206 ◽  
Author(s):  
Wiwin Widianingsih ◽  
Any Suryantini ◽  
Irham Irham

This study aims to know the trend of GDRP of agricultural sector in West Java Province, sector and sub-sector of agriculture which has a role as a leading sector in West Java Province and each district in this province, the factors that affect the economic growth of agriculture sector in the West Java Province, and the growth typology of the agricultural sector in West Java Province. The method that used for this study are Trend analysis, Location Quotient (LQ), Dynamic Location Quotient (DLQ), Shift-Share, and Klassen Typology. Theresults showed that the trend of agriculture sector/sub-sectors’ GDRP value were significantly increased and the trend of agriculture sector/sub-sectors’ GDRP contribution were significantly decreased over the period  year 2003-2012. The agricultural sector is a leading sector for West Java Province and most of its districts. Food crop and the horticultural sub-sector is a leading sector for West Java Province and some districts in this province. The growth of the national economy is the dominant factor affecting the growth of the sector/subsector of agriculture in West Java Province. The competitive advantage (competitiveness) of forestry sub-sector was higher than the same sub-sector in other areas at national level. Food crops and horticultural sub-sector and livestock sub-sector were advanced  ut depressed sub-sector. Forestry sub-sectors was categorized in developing sub-sector. The agriculture sector, plantation and fisheries sub-sector were categorized in lagging development. Based on LQ, DLQ and Klassen Typology analysis, the results showed that there was a consistent result that were the forestry sub-sector categorized in a leading sub-sector in the future, f ood crops and horticulture sub-sector categorized in leading sub-sector along year 2003-2012. While sector of agriculture, plantation and fisheries sub-sector categorized in the lagged development sectors.  


2020 ◽  
Vol 20 (4) ◽  
pp. 277-284
Author(s):  
Markus Patiung ◽  
Nugrahini Wisnujati

Gross Regional Domestic Product (PDRB) is the amount of gross added value arising from all economic sectors in the region. It aims to help formulate regional policies, plan and evaluate development results, and provide information that can describe the regional economic performance. The purpose of this research is to analyse sustainable economic sector in Probolinggo district east Java province – Indonesia. A sustainable sector means a sector that is currently included as a basis and will remain a basis sector in the future even if the growth is slow or fast. The analytical methods used include analysis of Location Quotient (LQ), Dynamic Location Quotient (DLQ), and Klassen Typology. Of the 17 economic sectors that contributed to the PDRB of Probolinggo district, with the results of the LQ analysis, 7 sectors were in basic categories and 10 sectors were in non-basic categories. Results of the comparative analysis of LQ and DLQ indicates that there are 5 leading sectors, 2 prospective sectors, 6 mainstay sectors, and 4 lagging sectors. The results of the classification typology analysis consisted of 3 fast-growing and fast-growing sectors, 7 sectors is growing fast, 4 advanced and slow-growing sectors, and 3 relatively lagging sectors. From the three analysis results, it can be seen that the sustainable sectors are agriculture, forestry, and fisheries (second rank ); electricity and gas procurement sector (first rank); water supply, waste management, waste and recycling sectors (third rank); health service sector and social activities (fourth rank); other service sectors (rank fifth); processing industry sector; construction sector; transportation and warehousing sector; the accommodation and food and drink provision sector; information and communication sector; and the education services sector.


2021 ◽  
Vol 325 ◽  
pp. 07008
Author(s):  
Salma Nurulhuda ◽  
Mery Askarina ◽  
Si’ta Romadhoniastri ◽  
Afanin Fatkha Azahra ◽  
Deatry Kharisma Karim ◽  
...  

The agricultural resource is one of the most critical sectors in the economy, which contributes a high portion of the growth and development of a particular region. Differences in characteristics and potential between regions give rise to the basic and non-basic sectors, which then affect income contribution. This research aims to analyze the economic potential of the agricultural sector of the regencies and cities in West Kalimantan Province as basic or non-basic sector. Both basic and non-basic sector analysis can be carried out using quantitative-descriptive methods using Shift-Share and Location Quotient (LQ) analysis. The analysis was carried out using secondary data from the Central Statistics Agency (BPS) publication from 2015 to 2020. The results of the LQ analysis show the agricultural sector in Sambas, Bengkayang, Landak, Mempayah, Sanggau, Ketapang, Sintang, Kapuas Hulu, Sekadau, and Kayong Utara are the basic sector. Meanwhile, the agricultural sector in Kubu Raya, Pontianak, and Singkawang are non-basic sector. Agriculture in Melawi Regency has changed from a basic sector in 2015, to a non-basic sector in 2020. The results of the Shift-Share analysis show the agricultural sector in Sambas, Bengkayang, Landak, Mempayah, Sanggau, Ketapang, Kapuas Hulu, Sekadau, Kubu Raya, Pontianak and Singkawang have progressive or advanced growth, while Sintang, Melawi and Kayong Utara have slowed growth.


Author(s):  
Lepi Ali Firmansyah ◽  
Endriatmo Soetarto ◽  
Nunung Kusnadi

In general, the purpose of this study is to analyze the economic potential readiness in South Cianjur Development Region and formulate economic development strategies in an effort to achieve independence in the execution of development. The method of analysis used in this study are the analysis of Location Quotient, analysis of Limpitan Sejajar system, analysis of Internal Factor Evaluation Matrix (IFE Matrix) and External Factor Evaluation Matrix analysis (EFE matrix), analysis of matrix Strength-Weakness-Opportunities-Threats (SWOT), and analysis of Quantitative Strategic Planning Matrix (QSPM). The analysis showed that South Cianjur has potential, especially on: (1) agriculture, livestock, fisheries and forestry sector; (2) the mining and quarrying sector; and (3) the tourism sector. Based on IFE- EFE matrix analysis and SWOT analysis, South Cianjur district has priority strategy that uses internal strength to take advantage of external opportunities (S-O strategies). Selected strategic priorities are: (1) the development of agriculture by ecotourism, ecotourism and community forestry pattern; (2) the development of agroindustry; and (3) select and promote the spesific commodity to provide value-added (GDP and PAD).


ZOOTEC ◽  
2015 ◽  
Vol 35 (2) ◽  
pp. 390
Author(s):  
Suhdan Kasuba ◽  
V V.J Panelewen ◽  
Erwin Wantasen

ABSTRACT SUPERIOR COMMODITY POTENTIAL OF HORTICULTURE AGROBUSSINESS AND DEVELOPMENT STRATEGY IN SOUTH HALMAHERA REGENCY. This study was conducted to evaluate the potential of the horticulture superior commodity, growth structure, relation of farm income and to define strategy formulation of superior commodity development in South Halmahera regency. Study was done using survey approach on location basis of horticulture superior commodity. Location was defined by multistage random sampling in South Halmahera regency. Samples were taken by purposive sampling method, based on the criteria including the stakeholders of horticulture commodity spreading around research location. Data were analyzed using Location Quotient (LQ) method comparing the regency PDRB and the province PDRB, using localization coefficient (αi) by defining growth structure of commodity focusing on either one areal or not; using specialization coefficient  on one or more of commodities at one certain areal location, using Basic Service Ratio (BSR, the comparison of commodity basis and non basis of commodity, and SWOT analysis formulating the internal and external strategy. Based on LQ analysis, commodities of red pepper, lanseh and durian fruits had LQ value > 1, indicating that these commodities were categorized sector basis and tomato commodity LQ < 1 included into non basis sector or inferior commodity. Analysis of αi indicated that horticulture commodity was not concentrated into one location of region. In addition, analysis of , indicated that commodity of horticulture sub sector was not focused on one commodity. Analysis of BSR indicated that BSR value varied from one year to the other next year, such as in year of 2009 was 5.38, year of 2012 was 7.41 and year of 2013 was 10.22. The BSR > 1 indicated that correlation between sector basis of commodity contributed positively on development of non basis sector of commodity, while year of 2010 was 0.77 and year of 2011 was 0.833. Value of BSR < 1 was indicating negative contribution of commodity sector basis on non basis sector, especially in South Halmahera regency. Based on analysis results, the average income of each respondent for tomato was IDR 33,843,720.-; red pepper was IDR 10,782,350.- ; lanseh fruit was IDR 43,074,200.- and durian fruit was IDR 75,838,040.-. Development strategies based on SWOT analysis were (1) increase of product and agricultural commodity quality, (2) Focused and clearly political will of government, (3) Increase of farmer resource, (4) Self seedling development training, (5) Government regulation on prohibiting exploration of the agricultural potential areas, (6) Increasing activity of the industrial and trade office on easily market information, (7) Effective utilization of productive areas, (8) Collaboration between government and private entrepreneurship, (9) Adoption of modern agricultural technology, (10) Optimizing  of the function of economical institution (corporation institution) and banking institution, and (11) Optimizing  the role of field agricultural extension. Therefore, based on this research, it can be concluded that South Halmahera regency had high potential of superior commodity of the horticulture sub sector that can be developed due to higher supporting of potential location areas. Key words: Superior commodity, horticulture sub sector, SWOT analysis, South Halmahera regency.  


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