scholarly journals SEKTOR EKONOMI UNGGULAN KABUPATEN LOMBOK TENGAH

2021 ◽  
Vol 4 (2) ◽  
pp. 131-142
Author(s):  
Muhammad Zainuri

Kabupaten Lombok Tengah berpotensi melakukan akselerasi pertumbuhan ekonomi di masa mendatang seiring dengan hadirnya Kawasan Ekonomi Khusus (KEK) Mandalika. Penelitian ini bertujuan untuk mengetahui sektor ekonomi unggulan yang dimiliki Kabupaten Lombok Tengah dan membahas keterkaitan sektor ekonomi unggulan tersebut dengan kegiatan pariwisata. Berdasarkan analisis overlay yang memadukan analisis shift share dan analisis location quotient, diperoleh hasil bahwa dari 17 (tujuh belas) sektor ekonomi yang ada, seluruhnya termasuk dalam kategori sektor unggulan sebanyak 9 (sembilan) sektor dan kategori sektor potensial sebanyak 8 (delapan) sektor. Sektor transportasi dan pergudangan serta sektor penyediaan akomodasi dan makan minum yang terkait erat dengan kegiatan pariwisata belum termasuk sektor unggulan sehingga perlu ditingkatkan di masa mendatang. Sektor ekonomi unggulan seperti sektor pertanian, kehutanan, dan perikanan; sektor industri pengolahan; dan sektor jasa-jasa dapat memanfaatkan hadirnya Kawasan Ekonomi Khusus (KEK) Mandalika untuk menambah permintaan (demand). Penelitian selanjutnya dapat mengunakan Analisis Tabel Input Output untuk mengetahui keterkaitan antar sektor ekonomi dan mengetahui dampak dari peningkatan suatu sektor ekonomi terhadap kinerja perekonomian secara umum.

Author(s):  
Rina Muthia Harahap ◽  
Raldi Hendro Koestoer

ASEAN Economic Community will be implemented in 2015, while West Kalimantanprovince which is located in 2 Sub-Regional Cooperations of ASEAN , yet to be widely discussed by regional economic experts in terms of itsregional potentials. Multi-sector expressions often generalized in majorcategories, seem to be uncleared to share what key sectorsindicated and where they distribute in the region concerned.. Based on this,the paper proposes a combination approach of multi-sector model and inter-linked in spatial dimensions. Input-output method and Location Quotient models introduced and applied in the case of West Kalimantan province in the efficiency of its development efforts towards a Green Plan.


JURNAL PANGAN ◽  
2019 ◽  
Vol 27 (3) ◽  
pp. 203-214
Author(s):  
FNU Tuminem

Subsektor tanaman pangan merupakan subsektor yang strategis. Selain menyerap tenaga kerja terbesar dalam  kegiatan produksi, subsektor tanaman pangan juga menghasilkan produk yang menjadi bahan pangan pokok bagi sebagian besar masyarakat Indonesia. Penelitian ini bertujuan untuk mengidentifikasi komoditas tanaman pangan unggulan dan menganalisis peranan komoditas tanaman pangan unggulan tersebut terhadap kesempatan kerja dan pendapatan di Kabupaten Sukoharjo. Data yang digunakan adalah data produksi komoditas tanaman pangan tahun 2011-2015 Kabupaten Sukoharjo dan Jawa Tengah serta data Tabel Input-Output Kabupaten Sukoharjo Tahun 2012 transaksi total atas dasar harga produsen. Metode analisis menggunakan Location Quotient (LQ), Shift Share Analysis (SSA), dan Input-Output (IO). Hasil penelitian menunjukkan bahwa padi, kedelai, dan  kacang tanah merupakan komoditas basis di Kabupaten Sukoharjo. Padi, jagung, dan kedelai tumbuh cepat tetapi hanya padi yang  memiliki daya saing  sehingga menjadi komoditas unggulan di Kabupaten Sukoharjo.  Berdasarkan analisis angka pengganda,  padi memiliki angka pengganda pendapatan tertinggi yaitu sebesar 0,0325 sedangkan  angka pengganda kesempatan kerja padi  peringkat ketiga setelah jagung dan kacang-kacangan.


Author(s):  
Nurul Islamy

ABSTRAKEkonomi Nusa Tenggara Barat (NTB) yang tercermin dalam Produk Domestik Regional Bruto (PDRB) masih tergantung pada tambang bijih logam dan ekspor. Padahal, NTB dengan berbagai keindahan alam maupun budaya lokalnya merupakan salah satu provinsi yang dalam perkembangannya ditargetkan menjadi gerbang pariwisata nasional. Dengan semakin mantapnya posisi NTB sebagai destinasi wisata nasional, sekaligus tujuan investasi di bidang kepariwisataan di Indonesia, maka perlu dilakukan studi untuk dapat diketahui sejauh mana lapangan usaha yang berafiliasi dengan dunia pariwisata memberikan kontribusi sebagai lokomotif baru perekonomian NTB di luar sektor pertambangan. Untuk mendapatkan sektor/kategori unggulan di suatu wilayah, beberapa metode pengukuran yang umum digunakan antara lain Location Quotient (LQ), Analisis Shift–Share, dan Tipologi Klassen. Berdasarkan tiga metode tersebut diperoleh hasil bahwa dari delapan kategori unggulan, tiga diantaranya merupakan kategori yang menyokong pariwisata di NTB yakni lapangan usaha Transportasi dan Pergudangan, Real Estate dan Jasa–jasa. Kategori penting lainnya yaitu Penyediaan Akomodasi dan Makan Minum; Konstruksi; dan Perdagangan berpotensi lebih digenjot untuk semakin meningkatkan perekonomian NTB. Bagi pengusaha, kategori unggulan yang menyokong pariwisata tersebut dapat “dilirik” untuk investasi di masa mendatang. Tanpa menutup kemungkinan untuk membuka usaha baru di lapangan usaha yang potensial. Ada satu kekuatan ekonomi baru yang menyeruak dari hasil analisis yaitu ekonomi kreatif. Ternyata lapangan usaha yang berkaitan dengan Ekonomi Kreatif telah terdeteksi sebagai kategori potensial yang patut dikembangan di NTB. Diperlukan kajian lebih lanjut terkait topik ini dengan menggunakan Tabel Input–Output agar didapatkan gambaran hubungan timbal balik dan keterkaitan antarsektor dalam perekonomian di NTB secara menyeluruh utamanya terkait pariwisata. Kata Kunci : Analisis Shift–Share, Ekonomi Kreatif, Location Quotient (LQ), Sektor Unggulan, Sektor Pariwisata, PDRB,  Tipologi Klassen  POTENTIAL SECTOR ANALYSIS, CAN THE TOURISM BE A NEW LOCOMOTIVE ECONOMY OF WEST NUSA TENGGARA? ABSTRACTThe economy of Nusa Tenggara Barat (NTB) reflected in the Gross Regional Domestic Product (GRDP) still depends on metal ore mining and exports. In fact, NTB with a variety of natural beauty and local culture is one of the provinces which in its development is targeted to become the gate of national tourism. With the increasing position of NTB as a national tourist destination, as well as an investment destination in the field of tourism in Indonesia, it is necessary to study to find out the extent to which industry affiliated with the tourism contribute as a new locomotive for the NTB economy outside the mining sector. To obtain leading sectors /categories in a region, several commonly used measurement methods include Location Quotient (LQ), Shift–Share Analysis, and Klassen Typology. Based on the three methods, the results show that of the eight leading categories, three of them are categories that support tourism in NTB, namely the Transportation and Storage, Real Estate and Services. Other important categories are Accomodation & food Service Activities; Construction; and Trade has the potential to be further boosted to further improve the NTB economy. For entrepreneurs, the leading categories that support tourism can be "glimpsed" for investment in the future. Without closing the possibility to open a new business in a potential industry. There is one new economic power that has emerged from the results of analysis, namely the creative economy. It turns out that the industry related to the Creative Economy have been detected as potential categories that deserve to be developed in NTB. Further studies are needed regarding this topic using the Input–Output Table in order to obtain an overview of the interrelationships and inter–sectoral linkages in the economy in NTB as a whole, especially related to tourism. Keywords: Creative Economy , GRDP , Klassen Typology, Leading Sector, Location Quotient (LQ), Shift – Share Analysis, Tourism Sector.


2016 ◽  
Vol 2 (2) ◽  
pp. 105
Author(s):  
Rifa Diana Yuliyanti ◽  
Raldi Hendro Koestoer

<p>East Java Province has a relatively complex region therefore challenges to promote and Encourage the regional economic growth are escalated. One of the technique to improve is through a search of their leading sector that reflects real effective and efficient robust export sector. Meanwhile, the distribution of the strongest tradable and export-led sector in provincial regional level remains limited for economic development study, this research attempts to explore it in provincial regional level for two periods of Input-Output (I-O) analysis.The research observed the movement of sector value from I-O analysis in 2006 tothe year 2010’s I-O analysis. Combination approach performed with I-O analysis that separates between the tradable and nontradable group of sectors formerly which is called Semi InputOutput. Followed by modification of ‘flow-on effects’multiplier and Location Quotient that represent the spatial dimension of the sector, the spatial–regional base distribution expresses subtly the result of the leading sector in defining natural resources capacity which is available through its distribution.<br /><strong></strong></p><p><strong>Keywords</strong> : Spatial; Input-Output; Semi Input-Output; Location Quotient; Flow-on effects; Tradable</p>


2016 ◽  
Vol 1 (1) ◽  
Author(s):  
Ris Yuwono Yudo Nugroho

East Java has a big role in supplying agricultural product for nasional logistic. The problems are not completely resolved, regional development planning should integrate sectoral and spatial approach. The focus of study is to analyze the linkage of rice production to other sectors, in order to develop rice production. Research using the Input-Output models, Location Quotient to measure the degree of relative specialization of a region, and DEA to measure the performance of spatial efficiency. The result used IO table in 2010, contributors backward linkage of paddy sector are paddy sector itself, fertilizer and pesticide sector, also agriculture services and hunting, while the backward linkage contributors are paddy sector itself, rice sector, and food products and beverages. Spatially there are 28 areas that are able to serve the market of paddy products. If related to production efficiency, there are nine areas are included in the category of efficient production, with input in the form of land, and the number of farmers. Policy Implication related to the findings of input output approach, are the affordability of input proces, the streamlined of input distributing system, and the goes on education and information to the farmer about input usage. Whereas, related to the spatial aspect, in soft infrastructure as strengthening internal capacity of farmer and instructor. In the other hand, hard structure aspect especially restoration of irrigation, allocating best seed and fertilizer for farmer.


1983 ◽  
Vol 15 (11) ◽  
pp. 1501-1520 ◽  
Author(s):  
C H Sawyer ◽  
R E Miller

In this paper the authors present results of a series of experiments in which the input—output structure of the State of Washington (as reflected in 1972 survey-based input—output tables) is approximated from similar data for the nation (as given in the 1967 survey-based US tables). Variants of two kinds of nonsurvey approaches are employed. These are purely-nonsurvey methods (including, for example, adjustments according to simple location quotient measures) and partial-survey techniques (such as the RAS method). Comparisons between nonsurvey results and the Washington data are made on the basis both of regional coefficient matrices and of their Leontief inverses. Comparisons are also made with the results of several other studies that have utilized similar nonsurvey approaches. Certain procedures appear promising, especially when used in combination with survey estimates of regional value added and/or exports.


Author(s):  
Jeroen Klijs ◽  
Jack Peerlings ◽  
Tim Steijaert ◽  
Wim Heijman

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