scholarly journals ANALISIS POTENSI EKONOMI DI SEKTOR DAN SUBSEKTOR PERTANIAN, KEHUTANAN DAN PERIKANAN KABUPATEN JEMBER

2017 ◽  
Vol 15 (2) ◽  
pp. 137
Author(s):  
Ahmad Rizani

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 during 2010-2015 period increased by Rp2,412.3 billion. The improvement of economic performance in Jember Regency can be seen from positive sector of agriculture sector, forestry and fishery; (2) Based on the analysis of Location Quotient (LQ) sector and the leading sub-sector in Jember Regency there is 1 sector and 1 sub-sector having average LQ> 1 or sector and subsector of the (potential) ie agriculture, farming, and plantation sub-sector; (3) Growth Ratio Model (MRP) analysis shows that the dominant sectors of growth and large contribution include estate crop sub-sector, agriculture and hunting services sub sector, forestry and logging sector, and fishery sector; (4) weighted results based on Shift-Share, Location Quotient (LQ) and Growth Ratio (MRP) analysis were obtained by the highest ranking sub-category of the most potential weighted crops sub-sector.

Author(s):  
Ahmad Rizani

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 highlights and determines the leading sectors and sub-sectors in Jember Regency to provide an overview of superior economic activities that can be developed in increasing the economic potential in Jember District. The data used in this study is secondary data in the form of time series (time series) for 6 years from 2010 to 2015 Gross Regional Domestic Product (GRDP) of East Java Province, GRDP (Gross Regional Domestic Product) Jember District. The data was obtained from Central Bureau of Statistics (BPS) of East Java Province and Central Bureau of Statistics (BPS) of Jember Regency. Shift-Share, Location Quotient (LQ), and Growth Ratio Model (MRP). From the results of the research: (1) shift-share analysis shows that the economy of Jember Regency during 2010-2015 period increased by Rp2,412.3 billion. The performance improvement in Jember Regency can be seen from the sectors and sub-sectors of agriculture, forestry and fisheries; (2) based on the analysis of Quotient Location (LQ) of the sector and the leading sub-sector in Jember Regency there is 1 sector and 1 sub-sector with average LQ> 1 or potential sectors and subsectors namely agriculture, farming, hunting & agricultural services and plantation sub-sector; (3) Growth Ratio Model (MRP) analysis shows the dominant sectors of growth and subsector of plantation, sub-sector of agricultural and hunting services, forestry and logging sector, and fishery sector. Keywords: Economic Potential, Shift-Share, Quotient Location (LQ), Growth Ratio Model (MRP)


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


2017 ◽  
Vol 1 (1) ◽  
pp. 76-95
Author(s):  
Ahmad Rizani

This study aimed to investigate economic growth, regional economic pattern and structure of East Java Province. Other than that, this study also identified anddetermined superior sectors in East Java Province to give an illustration on which superior economic activities to be developed to improve the economic potential in East Java Province. Data employed in this study was secondary data in six years’ time series form 2010 until 2015 about GDP (Gross Domestic Product) for Indonesia, RGDP (Regional Gross Domestic Product) for East Java Province, total population in Indonesia, total population in East Java Province, the number of people living in poverty in Indonesia, and the number of people living in poverty in East Java Province. Data was obtained from Central Statistics Institution Indonesia, National Planning and Development Institution, Central Statistics Institution of East Java Province, and Regional Planning and Development Institution of East Java Province. Analysis tools used in this study included economic performance analysis, ShiftShare, Location Quotient (LQ), Growth Ratio Model (MRP) and Overlay analysis. The results of the study showed that: (1) economic performance index of East Java Province was quite good because during 2011-2015 the province got average economic performance index 0.847; (2) shift-share analysis showed that East Java Province economic showed an improvement during 2010-2015 by 340.769,50 billion rupiahs. Those economic performance improvements in East Java Province could be seen from the positive value of 16 (sixteen) economic activity sectors; (3) according to Location Quotient (LQ) analysis, there were five superior sectors in East Java Province, they were processing industry sector, water procurement sector, waste and recycle management sector, wholesale and retail, auto car and motorcycle reparation sector, accommodation and foods providing sector, and information and communication sector; (4) Growth Ratio Model analysis showed that sectors which had dominants growth and big contribution were construction sector, wholesale and retail, auto car and motorcycle reparation sector, transportation and warehousing sector, accommodation and foods providing sector, information and communication sector financial and insurance service sector, real estate sector, education service sector, health service and social activity sector; (5) Overlay analysis showed that potential economic sector in East Java Province included wholesale and retail, auto car andmotorcycle reparation sector, accommodation and foods providing sector, and information and communication sector; (6) weighing result according to Shift-Share Location Quotient (LQ), and Growth Ratio Model analysis were five sectors based on the highest rank of the most potential weighing result, they were accommodation and foods providing sector, processing industry sector, wholesale and retail, auto car and motorcycle reparation sector, information and communication sector, and construction sector.   JEL Classification : P47, O47, C02, C02, C02, C02


ETIKONOMI ◽  
2019 ◽  
Vol 18 (1) ◽  
Author(s):  
Bayu Kharisma ◽  
Ferry Hadiyanto

The development policy in Maluku Province cannot separate from the small islands that dominate the areas. Its central potentials are in the field of fisheries, agriculture, and mining.  This research aims to analyze the potentials of the leading sector and to formulate policy priorities for regional development in Maluku Province. The research used in this research is Location Quotient (LQ), Growth-Ratio Model (MRP), Overlay, SWOT and Analytic Network Process (ANP). The results showed that in Maluku Province there are eight economic categories that have base sectors. The result of Growth-Ratio Model (MRP) shows that the sector with the highest average the ratio of growth in the study area (RPs) is mining and quarrying sector. Furthermore, Overlay analysis shows that government administration, defense, social security sectors are obliged to contribute to and the highest growth. The result of SWOT-ANP shows that policy priority in regional development is the acceleration of infrastructure development


2019 ◽  
Vol 5 (3) ◽  
Author(s):  
Ahmad Rizani Rizani

This study aims to identify and determine the leading sectors in Bandung City to illustrate leading economics activities that can be developed in order to boost economics potential in Bandung City. The analysis tools used include Shift-Share, Location Quotient (LQ) and Growth Ratio Model (GRM) analyses. The results of the study show that: (1) shift-share analysis showed that the economy of Bandung City during the period 2010-2017 increased by Rp. 70,697,045.9 million. The increase in economic performance in Bandung City can be seen from 16 (sixteen) sectors of economic activity that are positive; (2) based on the Location Quotient (LQ) analysis, the leading sectors in Bandung City consisting of 13 (thirteen) sectors, i.e. water supply procurement; garbage, waste and recycling management; construction sector; retail and wholesale trade; car and motorcycle repair; transportation and warehousing sector; accommodation and food provision; information and communication sector; financial and insurance services sector; real estate sector; corporate services sector; government administration, defense and social security; education services sector; health services sector and social activities and other service sectors; (3) the analysis of the Growth Ratio Model (GRM) showed that the dominant sectors of growth and large contributions consist of the construction sector, transportation and warehousing sector, accommodation and food provision sector, information and communication sector, corporate services sector, education services sector, health services sector and social activities and other service sectors; (4) weighting results based on Shift-Share, Location Quotient (LQ) analysis, and Growth Ratio Model (GRM) showed that 5 (five) sectors based on the highest potential weighting results are the information and communication sector, retail and wholesale trade sectors , car and motorcycle repair, transportation and warehousing sector, accommodation and food provision sector and other service sectors.


2016 ◽  
Vol 5 (1) ◽  
pp. 39
Author(s):  
ADE IRMAYADI ◽  
ERLINDA YURISINTHAE ◽  
ADI SUYATNO

Mempawah Regency Government has a mission to improving the economy that oriented to the community. The goal is to develop the economy through food security (agriculture commodity crops, horticulture, livestock, fisheries and biodiversity) and reinforced by forests management and plantations to improve the welfare of farmers. Mempawah regency is one of the regencys that the economic life of the people still depend on agribusiness system, particularly the agricultural sector. Based on the (Gross Regional Domestic Product) GRDP value of Mempawah Regencys years 2008 to 2012 the agricultural sector, especially the food crops subsector has the highest contribution to Mempawah Regency’s GRDP compared to other subsectors. The goal of this study is to analyze which subsector that became the basis of agricultural sector in the Mempawah Regency and the leading commodity of food crops and horticulture. This study uses three analysis tools i.e Dynamic Location Quotient Analysis to analyze what is the basis of the agricultural sector in the Mempawah Regency. Shift-Share Analysis and Growth Ratio Model Analysis to analyze any commodity which is the leading commodities of food crops and horticulture. The results from this study is, subsectors which are the basis of the agricultural sector in the Mempawah Regency is the food crops, forestry, and fishery subsector. The leading commodity in the Mempawah Regency of food crops are rice, the leading commodities of vegetables are cucumbers and kangkung, and the leading commodity of fruits are bananas.Keywords : Basis, Leading Sector, Food Crops Subsector and Horticulture


2017 ◽  
Vol 13 (13) ◽  
pp. 211
Author(s):  
Balle Ségbé Guy Romaric ◽  
Ouattara Allassane ◽  
Vanga Adja Ferdinand ◽  
Gourene Germain

The lagoons are high biological and economic potential areas exploited by thousands of fishermen. Otherwise, the persistent use of pesticides in fisheries may be perceived as a response of fishermen to lower yields and, consequently, to reduced income from fishing activities. In this context, the hypothesis of a lack of profitability concerning the activity of professional fishermen was therefore raised. To reach this goal, a market survey, investments and fish landings were carried out in order to analyze the profitability and economic performance of this activity. It recorded 5227 catch exits from a sample of 35 fixed fishermen in 7 villages. These were followed 15 times a month for 12 months whenever possible. In practice, approximately 60% of the suspected activity of professional fishermen has been observed. After elaborating the annual operating accounts and calculating the performance ratios, it appears that the lagoon fishing activity of Grand-Lahou is profitable and competitive compared to the alternative economic activities of the study area. However, performance is not homogeneous between villages. This suggests a fishing-related effect on fishers' performance. In addition, it is the Liza falcipinnis and Chrysichthys nigrodigitatus species that significantly influence the value of production and hence income.


2016 ◽  
Vol 11 (5) ◽  
pp. 167 ◽  
Author(s):  
Truong Hong Trinh

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.


2017 ◽  
Vol 13 (1) ◽  
pp. 10
Author(s):  
Usman Usman

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.


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.


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