scholarly journals Kajian Ekonomi Subsektor Peternakan di Kawasan Sulampua (Tahun 2014-2019)

2021 ◽  
Vol 5 (4) ◽  
pp. 998-1011
Author(s):  
Elfryanty Novita ◽  
Keyword(s):  
Economic Growth ◽  
Total Population ◽  
Descriptive Analysis ◽  
National Level ◽  
Animal Husbandry ◽  
Location Quotient ◽  
Agriculture Sector ◽  
South Sulawesi ◽  
Comparative Advantages ◽  
Papua Barat

Animal Husbandry has an important role in accelerating the growth of agriculture sector as a part of food security. However, this subsector is considered gaining not much priority as other subsectors in agriculture sector, particularly in ten provinces in Sulampua (Sulawesi, Maluku and Papua) region. Generally, the economic growth of this subsector in those provinces have fluctuated from 2014 to 2019 and its contributions to Gross Regional Domestic Product (GRDP) for both farming sector and the total GRDP by province are significantly small. Two purposes of this study are to describe the challenges of animal husbandry in Sulampua (the population of livestock, the economy’s growth of animal husbandry and based-area groups) and to gain analysis as early information for comparative advantages and the prospect of livestock market for subsector. Data used in this study is from BPS-Statistic Indonesia consisting of GRDP by province, the farms’ farmer trade, and the total population of livestock. This study uses descriptive analysis namely Klassen Typology, Location Quotient (LQ) and Shift Share Analysis (SSA). According to Klassen Typology, the animal husbandry in Maluku Utara, Papua and Papua Barat have been relatively less developed. The result of LQ is livestock in five provinces excluding South Sulawesi is a leading sector while the result of SSA reveals that the animal husbandry in three provinces (Sulawesi Tenggara, Maluku and Papua Barat) have been relatively no comparative advantages in national level. In conclusion, the animal husbandry in provinces in Maluku and Papua have been growing slower than in Sulawesi.

scholarly journals ANALISIS SEKTOR BASIS DAN SUBSEKTOR PERTANIAN BASIS TERHADAP PERTUMBUHAN EKONOMI DI KABUPATEN KEEROM, PROVINSI PAPUA

2017 ◽  
Vol 13 (1) ◽  
pp. 10
Author(s):  
Usman Usman
Keyword(s):  
Economic Growth ◽  
Agricultural Development ◽  
Development Program ◽  
Secondary Data ◽  
Animal Husbandry ◽  
Position Change ◽  
Location Quotient ◽  
Location Factor ◽  
Agriculture Sector ◽  
Dynamic Location

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.

scholarly journals PERFORMANCE OF AGRICULTURE SECTOR IN BALI PROVINCE, 2013-2017

2020 ◽  
Vol 4 (2) ◽  
pp. 217-225
Author(s):  
Wulandira Sawitri Djelantik ◽  
Ida Ayu Listia Dewi
Keyword(s):  
Growth Rate ◽  
Rural Areas ◽  
Agricultural Sector ◽  
Agricultural Land ◽  
National Level ◽  
Location Quotient ◽  
Agriculture Sector ◽  
Tourism Sector ◽  
Dynamic Location ◽  
Food And Drink

The agricultural sector has a multifunctional role in the development of an area. Bali Province is one of the provinces in Indonesia that uses rural areas as a gateway to the agricultural sector that supports the tourism sector. The contribution of the agricultural sector in 2017 amounted to 13.07 percent of the GRDP of the Province of Bali, number two of the 17 sectors (the sector of providing accommodation and food and drink occupy the first position, amounting to 22.82 percent. The purpose of this study was to map the growth typology of each sector in the Province of Bali, and evaluated the performance of the agricultural sector in the Province of Bali from 2013-2017. The location of the study was conducted in the Province of Bali, carried out deliberately (purposive) with the consideration that there has been a very alarming increase in the conversion of agricultural land functions in the Province of Bali. The typology used is Klassen, LQ (Location Quotient, and DLQ (Dynamic Location Quotient). The results of this study are the agriculture, forestry, and fisheries sectors in quadrant II, namely the advanced but depressed sector, as a whole is a “prospective” agricultural sector, the sector it has a basic role during 2013-2017 but this sector does not have the potential to remain a base sector because the growth rate of the agricultural sector in Bali Province is slower than the national level.

scholarly journals KONTRIBUSI SEKTOR PERTANIAN PADA PERTUMBUHAN EKONOMI DI PROVINSI JAWA BARAT

Agro Ekonomi ◽  
2016 ◽  
Vol 26 (2) ◽  
pp. 206 ◽  
Author(s):  
Wiwin Widianingsih ◽  
Any Suryantini ◽  
Irham Irham
Keyword(s):  
Agricultural Sector ◽  
National Level ◽  
Dominant Factor ◽  
Food Crop ◽  
Location Quotient ◽  
The West ◽  
West Java ◽  
Agriculture Sector ◽  
Dynamic Location ◽  
Typology Analysis

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.  

scholarly journals PENARAPAN LQ DAN SHIFT SHARE DALAM MENGUKUR PERTUMBUHAN EKONOMI DI PROVINSI SULAWESI SELATAN PERIODE TAHUN 2013-2017

2019 ◽  
Vol 11 (02) ◽  
pp. 83-97
Author(s):  
Muh Fuad Randy ◽  
Muh. Indra Fauzi Ilyas ◽  
Abdul Sumarlin
Keyword(s):  
Economic Growth ◽  
Agricultural Sector ◽  
Retail Trade ◽  
Construction Sector ◽  
Location Quotient ◽  
Processing Industry ◽  
Government Administration ◽  
The Third ◽  
South Sulawesi ◽  
Information And Communication

Testing the Application of Location Quotient (LQ) and Shift Share in Measuring Economic Growth in South Sulawesi Province for the 2013-2017 Period. Based on the fluctuating conditions of labor changes and the contribution of GDP to the structure of the economy in the provinces of South Sulawesi and Indonesia. The main problem in this study is; What is the economic growth of South Sulawesi province based on the shift share approach for the 2013-2017 period, what is the economic growth of South Sulawesi province based on the LQ approach for the 2013-2017 period, the results of the calculation of GRDP 2013-2017 that have been made can be concluded as follows; There are 8 (eight) sectors which are the base sectors including the first sector of agriculture, both water supply, waste management, waste and recycling, third construction, fourth information and communication, fifth real estate, sixth government administration, defense and social security, seven services Education, eight health services and social activities there are four sectors that have the advantage of the first, namely the agricultural sector, the second processing industry, the third construction sector, the fourth large and retail trade, car and motorcycle repair

scholarly journals Applying Location Quotient and Shift-Share Analysis in Determining Leading Sectors in Teluk Bintuni Regency

2021 ◽  
Vol 6 (1) ◽  
pp. 55
Author(s):  
Marcus Maspaitella ◽  
Sisilia M. Parinussa
Keyword(s):  
Economic Growth ◽  
Public Administration ◽  
Policy Implications ◽  
Economic Sectors ◽  
Location Quotient ◽  
Education Services ◽  
Sectoral Shifts ◽  
Construction Education ◽  
Papua Barat ◽  
Further Development

Economic growth is an important aspect that reflects the success of a country or region’s economic development. The changes of its driving sectors mainly influence the changes in economic growth. This study aims to identify the leading economic sectors and analyze the sectoral shifts of the Teluk Bintuni regency’s economy. The data used in this study is the Gross Regional Domestic Product of both Teluk Bintuni Regency and Papua Barat province in the period from 2010 to 2018. In determining the leading sectors and analyzing the sector using Location Quotient and Shift-Share analysis. The results suggested that the manufacturing and mining, and quarrying sectors were the base sectors of Teluk Bintuni’s economy. However, the result of Shift-Share analysis highlighted construction, education services, procurement of electricity and gas, and public administration, defense, and compulsory social security as competitive and progressive sectors during the same period. Policy implications of this study include evaluating and reformulating development strategies and programs and considering sectoral interconnection for further development planning.Keywords: Location Quotient, Shift-Share, Leading Sectors, Teluk Bintuni

scholarly journals ANALISIS STRUKTUR PEREKONOMIAN DAN FAKTOR-FAKTOR YANG MEMENGARUHI PERTUMBUHAN EKONOMI SUMATERA SELATAN

2018 ◽  
Vol 2 (1) ◽  
pp. 47-59
Author(s):  
Indrayansyah Nur ◽  
Sri Mulatsih ◽  
Alla Asmara
Keyword(s):  
Economic Growth ◽  
Labor Force ◽  
Manufacturing Industry ◽  
National Level ◽  
Government Expenditure ◽  
National Policy ◽  
Negative Influence ◽  
Positive Influence ◽  
Service Firms ◽  
Location Quotient

This study aims at analyzing the structure of the economic growth in the province of South Sumatera and the factors that influence the economic growth in the region. The method to analyze the economic structure is a regional economy approach using Location Quetiont (LQ) method and Shift Share (SS) Analysis. The National Share (NS) component indicates that the higher values are the sectors on mining and minerals, agriculture and manufacturing industry. Thus, those three sectors are strongly influenced by the change in national policy. The Industry Mix (IM) component indicates that the higher values are on the sectors on transportation and communication, construction and trade, and hotel and restaurant. That indicates that those three sectors have higher growth than other sectors. The Regional Share (RS) component indicates that agriculture is the dominant sector and therefore the most competitive sector compared to industries in the national level. It is also revealed that the progressive sectors during 2001-2005 are trading, hotel, restaurant, and construction and during 2005-2010 are service firms, finance, rental, trading, hotel, and restaurant. Using LQ analysis, the base sectors in South Sumatera during 2001-2010 are mining and minerals, agriculture, and construction. On the whole, the variables of PMA, PMDN, goverment expenditure and labor force simultaneously influence the PDRB as high as 85%. In partial view, PMDN, goverment expenditure and labor force have significant and positive influence toward PDRB, as indicated by a small probability value. Meanwhile, PMA has insignificant and negative influence toward PDRB.  Keywords: shift-share, location quotient, labor force, government expenditure

scholarly journals Analysis of Agricultural Growth Using LQ And Shiftshare Methods (Case Study : Manokwari Regency, Indonesia)

2020 ◽  
Vol 6 (1) ◽  
pp. 53-58
Author(s):  
Prima Jiwa Osly ◽  
Fulki Araswati ◽  
Rhonny Einsten Ririhena ◽  
Ardini Putri
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Agricultural Development ◽  
Location Quotient ◽  
Agricultural Growth ◽  
Services Sector ◽  
Agriculture Sector ◽  
Analysis Technique ◽  
West Papua ◽  
District Economy

Economic growth is an indicator of a process of economic development conducted both at the national and regional level. to increase economic growth that implemented through the effectiveness and efficiency of economic development, implementation of economic development needs to directed to the sectors that can give large multiplier effect on different sectors and the economy. Indonesia's economic development is closely related to agricultural development since Indonesia itself is an agrarian country that has most of its people as farmers. This research aims to find potential in the province of West Papua with selections of excellent commodities suitable to be developed and analyze sub-sector agriculture to the district economy Manokwari period 2013-2017 contributes. The method of analysis used is "Location Quotient" and Shift Share Analysis technique. The results showed that most of Manokwari district in West Papua Province has a base sector that is agriculture sector, services sector and building sector.

scholarly journals The Increase of Rural Economy at Baraka Sub-District through Village Funds

The Winners ◽  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Abdul Karim ◽  
Chalid Imran Musa ◽  
Romansyah Sahabuddin ◽  
Muhammad Azis
Keyword(s):  
Economic Growth ◽  
Rural Economy ◽  
Research Method ◽  
Descriptive Analysis ◽  
Economic Recovery ◽  
Recovery Programs ◽  
Rural Economic Development ◽  
South Sulawesi ◽  
National Economic ◽  
Village Communities

The research aims to examine the allocation of Village funds during the COVID-19 global crisis pandemic as well as its benefits to Baraka Sub-district in Enrekang Regency, South Sulawesi Province. It has an area of 159,15 (km2) or 8,91% of the accumulated total area of Enrekang Regency. This research is qualitative research with a descriptive analysis approach. The research method is carried out by collecting data and information from the population taken from 12 villages in the Baraka Sub-district. The results show that BUMDes (Village-owned Enterprises) fosters rural economic development for all village communities in Baraka Sub-district and supports national economic growth. In addition, Village funds is considered to have become a support for meeting the economic needs of the community during the COVID-19 pandemic. It is expected that various economic recovery programs will continue, whether they become central, regional, or local village-scale programs, especially in 12 villages in Baraka Sub-district.

scholarly journals POTENSI DAN PROYEKSI EKONOMI MAKRO KOTA TANGERANG

Media Trend ◽  
2016 ◽  
Vol 11 (2) ◽  
pp. 99
Author(s):  
Lestari Agusalim
Keyword(s):  
Economic Growth ◽  
Quantitative Methods ◽  
Manufacturing Industry ◽  
Least Squares Method ◽  
Descriptive Analysis ◽  
Location Quotient ◽  
Business Services ◽  
Information And Communication ◽  
Projection Analysis ◽  
Current Price

<span>This study aims to analyse the potency and make a projection of the economy of Tangerang Municipality from 2014 to 2018. By doing so, the local government of Tangerang can use such information to formulate the appropriate policies to foster inclusive economic growth. This study is essential as Tangerang Municipality experienced a slow down in economic growth in 2014 compared to the previous year. This study uses quantitative methods namely Location Quotient (LQ) analysis, to identify leading sectors of the economy, and Least Squares Method, to make a projection of the economy. In addition, descriptive analysis is also used to briefly interpret the quantitative data and formulate policy recommendations. The results show that: (1) the leading sectors of Tangerang Municipality are manufacturing industry sector, transportation and warehousing sector, information and communication sector, and business services sector; (2) the projection analysis showed that in 2018, based on constant price and current price RGDP, Tangerang Municipality will experience positive economic growth. This will also be true for per capita RGDP. Moreover, inflation and open unemployment rate will decline.</span>

scholarly journals Pemodelan Pertumbuhan Ekonomi Provinsi Sulawesi Selatan dengan Menggunakan Regresi Data Panel

2020 ◽  
Vol 2 (3) ◽  
pp. 158
Author(s):  
Misriani Suardin ◽  
Muhammad Nadjib Bustan ◽  
Ansari Saleh Ahmar
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Total Population ◽  
Random Effect ◽  
Random Effect Model ◽  
South Sulawesi ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression ◽  
Human Capital Index

Abstract. Economic growth is a process for change the economic condition a country or regional by continuously for the better condition as long as definite period. Economic growth in South Sulawesi for 2013-2016 have up and down because many factors have influence it. Like jobless, human capital index, regional revenue, expenditure, and total population. This research was conducted to determine the factors that influence economic growth in South Sulawesi by using data panel regression methods. Panel data regression is a regression by using panel data. Panel data is a statistics analysis method that combines between time series data and cross section data. The result indicates that the result if the regression analysis on the =5% show that the best panel data regression model is random effect model and human capital index variable have significant effect on economic growth with probability value about 0,0227. Meanwhile, jobless, regional revenue, expenditure, and total population no significant.Keywords: Panel Data Regression, Economic Growth, Common Effect Model, Fixed Effcet Model, Random Effect Model

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