ANALISIS KONEKTIVITAS KELAUTAN DAN PERIKANAN ANTAR WILAYAH PULAU UTAMA DI INDONESIA

2014 ◽  
Vol 4 (1) ◽  
pp. 25
Author(s):  
Estu Sri Luhur ◽  
Subhechanis Saptanto ◽  
Tajerin Tajerin
Keyword(s):  
Flow Distribution ◽  
Secondary Data ◽  
Western Region ◽  
Connectivity Analysis ◽  
Input Output ◽  
Fish Processing ◽  
Logistics System ◽  
Technical Coefficient ◽  
Economic Relationship ◽  
Backward Linkages

Kajian ini bertujuan untuk menganalisis konektivitas sektor kelautan dan perikanan dalamsistem Masterplan Percepatan dan Perluasan Pembangunan Ekonomi Indonesia (MP3EI) yangdilakukan pada tahun 2014. Kajian dilakukan dengan menggunakan data sekunder berupatabel interregional input-output (IRIO) 2010 yang telah dimutakhirkan (updating) dari IRIO 2005menggunakan metode row-augmented technical coefficient-sheet/RAS. Hasil kajian menunjukkanbahwa konektivitas sektor kelautan dan perikanan antar wilayah cenderung tinggi yang ditunjukkanoleh besarnya koefisien keterkaitan ke belakang/indeks daya penyebaran dan koefisien keterkaitan kedepan/indeks daya kepekaan lebih besar dari satu satuan unit; namun konektivitas wilayah timur denganwilayah barat masih rendah yang ditunjukkan oleh masih besarnya dominasi Pulau Jawa, Sumateradan Bali dalam aktivitas ekonomi sektor kelautan dan perikanan. Hal ini memberikan indikasi alirandistribusi belum berjalan optimal sehingga keterkaitan ekonominya juga terhambat. Untuk itu, penguatankonektivitas antar koridor ekonomi (pulau utama) termasuk pada kegiatan yang terkait dengan kelautandan perikanan merupakan strategi utama dalam mengimplementasikan MP3EI. Kebijakan yangdirekomendasikan untuk mendorong kinerja yang lebih optimal pada usaha kelautan dan perikanan,antara lain: (1) meningkatkan investasi pada sektor industri pengolahan hasil perikanan melaluipembangunan dan perbaikan infrastruktur, institusi dan sumberdaya manusia; dan (2) membangun danmemperbaiki sarana transportasi antar pulau melalui penguatan Sistem Logistik Ikan Nasional (SLIN).Title: Connectivity Analysis of Marine and Fisheries between Main IslandsRegion of IndonesiaThis study aimed to analyze the connectivity of marine and fisheries sector in Masterplan forAcceleration and Expansion of Indonesia’s Economic Development (MP3EI) system conducted in 2014study was conducted using secondary data from Tables of interregional input-output (IRIO) 2010 hadbeen updating of IRIO 2005 with row-augmented technical coefficient-sheet/RAS method. The resultsshowed that connectivity of marine and fisheries sector between regions tend to be higher which indicatedby backward linkages coefficient/index of spread and forward linkages coefficient / index of sensitivitywas higher than one unit; however connectivity between eastern and western region are still low whichindicated by magnitude dominance of Java, Sumatra and Bali islands in the economic activity of marineand fisheries sectors. This results in flow distribution is not optimal, so the economic relationship is alsoinhibited. To that end, strengthening connectivity between economic corridors (main island), including theactivities related to marine and fisheries are the main strategies in implementing MP3EI. Recommendedpolicies to encourage more optimal performance on marine and fisheries, among others: (1) increaseinvestment in fish processing industry through the development and improvement of infrastructure,institutions and human resources; and (2) establish and improve the means of transportation betweenislands through the strengthening of the National Fish Logistics System (SLIN).

scholarly journals Leontief Input-Output Method for The Fresh Milk Distribution Linkage Analysis

CAUCHY ◽  
2016 ◽  
Vol 4 (3) ◽  
pp. 120
Author(s):  
Riski Nur Istiqomah ◽  
Trija Fayeldi
Keyword(s):  
Linkage Analysis ◽  
Distribution System ◽  
Secondary Data ◽  
Input Output ◽  
Dairy Farmers ◽  
Processing Industry ◽  
Milk Processing ◽  
Fresh Milk ◽  
Backward Linkages

This research discusses about linkage analysis and identifies the key sector in the fresh milk distribution using Leontief Input-Output method. This method is one of the application of Mathematics in economy. The current fresh milk distribution system includes dairy farmers →collectors→fresh milk processing industries→processed milk distributors→consumers. Then, the distribution is merged between the collectors’ axctivity and the fresh milk processing industry. The data used are primary and secondary data taken in June 2016 in Kecamatan Jabung Kabupaten Malang. The collected data are then analysed using Leontief Input-Output Matriks and Python (PYIO 2.1) software. The result is that the merging of the collectors’ and the fresh milk processing industry’s activities shows high indices of forward linkages and backward linkages. It is shown that merging of the two activities is the key sector which has an important role in developing the whole activities in the fresh milk distribution.

scholarly journals KETERKAITAN SEKTOR PERIKANAN DALAM PEREKONOMIAN INDONESIA: PENDEKATAN MODEL INPUT-OUTPUT

2017 ◽  
Vol 2 (1) ◽  
pp. 19
Author(s):  
Tajerin Tajerin ◽  
Risna Yusuf ◽  
Sastrawidjaja Sastrawidjaja ◽  
Asnawi Asnawi
Keyword(s):  
National Economy ◽  
Raw Materials ◽  
Secondary Data ◽  
Input Output ◽  
Fish Processing ◽  
Model Input ◽  
Inland Fisheries ◽  
National Economic ◽  
Forward Linkage ◽  
Model Approach

Keterkaitan sektor perikanan dalam perekonomian nasional akan menentukan peran strategis sektor tersebut dalam pembangunan perikanan dan pemulihan perekonomian nasional. Untuk itu telah dilakukan kajian mengenai keterkaitan sektor perikanan ”dalam arti luas” dengan menggunakan metode analisis keterkaitan ke belakang (backward lingkage) dan ke depan (forward lingkage) berdasarkan pendekatan model input output. Data yang digunakan dalam kajian ini adalah data sekunder dari table input output tahun 1990, 1995 dan 2000. Hasil kajian menunjukkan bahwa selama periode 1990-2000, secara rata-rata keterkaitan sektor perikanan dalam perekonomian nasional masih relatif lemah dengan indeks keterkaitan berkisar sebesar 0,46-1,10. Kecenderungan penguatan keterkaitan ke belakang terjadi pada perikanan darat, sedangkan penguatan keterkaitan ke depan terjadi pada industri pengolahan dan pengawetan ikan. Selain itu, keterkaitan antara kelompok perikanan primer (perikanan laut dan perikanan darat) dan kelompok perikanan sekunder (industri pengeringan dan penggaraman ikan dan industri pengolahan dan pengawetan ikan) lebih mencerminkan keterkaitan ke depan berupa aliran pasokan komoditas ikan untuk bahan baku. Namun keterkaitan itu masih relatif lemah dan cenderung semakin lemah. Tittle: Fisheries Sector Linkages in The National Economy: An Input-Output Approach.Fisheries sector linkage in National Economy will determine the strategic roles of the sector for its development and National Economic recovery. In line with this, a study was conducted to determine backward and forward linkage of the sector using input output model approach. Secondary data were used, that are input output tables of the year 1990, 1995 and 2000. The results of the study showed that during the period of 1990 - 2000, the average linkage of these sector in National economy are relatively weak with the index of linkage approximately of 0,46 - 1,10.Stronger backward linkage was observed in inland fisheries, while stronger forward linkage demonstrated on industrial fish processing and preservation. The linkage of primary fisheries group (sea and inland fisheries) to the secondary fisheries group (industrial fish processing) indicating the forward linkage such as fish supply as raw materials. However, the linkage is relatively weak.

scholarly journals ANALISIS KETERKAITAN SEKTOR PERTANIAN DAN PENGARUHNYA TERHADAP PEREKONOMIAN INDONESIA (ANALISIS INPUT OUPUT)

2020 ◽  
Vol 3 (2) ◽  
pp. 140-157
Author(s):  
Ni Putu Andini Desiyanti L
Keyword(s):  
Agricultural Sector ◽  
Manufacturing Sector ◽  
Secondary Data ◽  
Input Output ◽  
Water Sector ◽  
Agriculture Sector ◽  
Multiplier Effect ◽  
Backward Linkages ◽  
The Impact ◽  
The Relationship

The agricultural sector is still the mainstay of job creation in large enough quantities compared to other sectors of the economy in Indonesia. It makes the chances of the agricultural sector in its influence on the economy in Indonesia. This article aims to examine the relationship forward and backward linkages agricultural sector with other sectors in Indonesia and examines the impact of multiplier output agriculture sector on the economy. Analysis use Input-Output with secondary data Input-Output Indonesia 2010. The results showed that the manufacturing sector and electricity, gas, water sector had been linked to the future of the agricultural sector. Furthermore, electricity, gas, water sector; and the building sector have backward linkages to the agriculture sector. The multiplier output agricultural sector has multiplier output impact lower than other sectors in the economy. Multiplier household income and employment agriculture have a greater multiplier effect than other sectors.

scholarly journals KONTRIBUSI EKSPOR SEKTOR PERIKANAN DALAM PEREKONOMIAN NASIONAL: ANALISIS INPUT OUTPUT

2017 ◽  
Vol 2 (1) ◽  
pp. 35
Author(s):  
Risna Yusuf ◽  
Tajerin Tajerin
Keyword(s):  
National Economy ◽  
Secondary Data ◽  
Output Growth ◽  
Input Output ◽  
Fish Processing ◽  
Output Analysis ◽  
Multiplier Effect ◽  
Fish Product ◽  
The Government ◽  
The One

Kajian ini bertujuan mengetahui sejauhmana kontribusi ekspor sektor perikanan ”dalam arti luas” dalam perekonomian nasional, khususnya pada pertumbuhan output, pendapatan masyarakat dan penyerapan tenaga kerja. Kajian ini menggunakan data sekunder yaitu tabel Input Output tahun 2000 yang dikeluarkan oleh BPS. Kajian ini menggunakan metode analisis Input Output. Hasil kajian memperlihatkan bahwa kontribusi ekspor sub sektor industri pengolahan hasil perikanan dalam pembentukan output dan pendapatan masyarakat ternyata jauh lebih besar dibandingkan dengan sektor perikanan yaitu masing-masing 10,28% dari Rp 102.264.263 juta; 5.55% dari Rp. 28.721.949. Namun sebaliknya dalam penyerapan tenaga kerja, ternyata kontribusi ekspor sektor perikanan justru lebih besar dibandingkan dengan sub sektor industri pengolahan hasil perikanan sebesar 7,45% dari 2.685.339 orang. Oleh karena itu diperlukan peran pemerintah secara lebih nyata dalam mendorong besaran multiplier effect melalui penciptaan lapangan kerja dari kegiatan ekspor sub sektor industri pengolahan hasil perikanan dengan cara menumbuhkan kegiatan usaha di sub sektor industri perikanan yaitu di sub sektor industri pengeringan dan penggaraman dan sub sektor industri pengolahan dan pengawetan ikan. Tittle: Export Contribution of Fisheries sector in National Economy: An Input Output AnalysisThe objective of the research is to assess the extent of export contribution of Fisheries sub sector and its products in National Economy, especially on output growth, social income and labor absorption. Secondary data of input output table 2000, which published by BPS was used in this study. The method of input output analysis was used. Results of the research indicate that export contribution of processed fish product industries on output growth and social income are higher than the fisheries sector, which are 10.28% of Rp 102.264.26% and 5.55% of Rp 28.721.949, respectively. On the other hand, contribution of fisheries sector is higher than the one of processed fish product industries. Therefore, the government plays an important role to boost the multiplier effect on labor absorption of industrial fish processing by growing the activities on this sector; i.e. salted and dried fish and processed and preserved fish in terms of labor absorption.

scholarly journals ANALISIS KETERKAITAN SEKTOR PERTANIAN DAN PENGARUHNYA TERHADAP PEREKONOMIAN INDONESIA (ANALISIS INPUT OUPUT)

2017 ◽  
Vol 13 (1) ◽  
pp. 14
Author(s):  
Retno Febriyastuti Widyawati
Keyword(s):  
Agricultural Sector ◽  
Manufacturing Sector ◽  
Secondary Data ◽  
Input Output ◽  
Water Sector ◽  
Output Analysis ◽  
Agriculture Sector ◽  
Multiplier Effect ◽  
Backward Linkages ◽  
The Impact

Abstrak: Analisis Keterkaitan Sektor Pertanian dan Pengaruhnya Terhadap Perekonomian di Indonesia (Analisis Input Output). Sektor pertanian masih menjadi andalan penciptaan lapangan pekerjaan dalam jumlah yang cukup besar dibandingkan dengan sektor-sektor lainnya dalam perekonomian di Indonesia. Hal ini menjadikan peluang sektor pertanian dalam pengaruhnya terhadap perekonomian di Indonesia. Artikel ini bertujuan untuk meneliti keterkaitan ke depan dan ke belakang sektor pertanian dengan sektor-sektor lain di Indonesia dan meneliti dampak dari angka pengganda sektor pertanian. Analisis yaitu Input-Output dengan data sekunder Input-Output Indonesia 2010. Hasil menunjukkan bahwa sektor industri pengolahan dan sektor listrik, gas, air bersih memiliki keterkaitan ke depan terhadap sektor pertanian. Selanjutnya, sektor listrik, gas, air bersih; dan sektor bangunan memiliki keterkaitan ke belakang terhadap sektor pertanian. Hasil pengganda output sektor pertanian memiliki dampak pengganda output yang lebih rendah dibandingkan sektor lainnya, sedangkan pengganda pendapatan rumah tangga dan kesempatan kerja memiliki dampak pengganda yang lebih besar dibandingkan sektor lainnya. Kata Kunci: Pertanian, Input-Output, Keterkaitan, Angka Pengganda Abstract: Linkage Analysis of Agricultural Sector and Effect on the Economy in Indonesia (Input-Output Analysis). The agricultural sector is still the mainstay of job creation in large enough quantities compared to other sectors of the economy in Indonesia. It makes the chances of the agricultural sector in its influence on the economy in Indonesia. This article aims to examine the relationship forward and backward linkages agricultural sector with other sectors in Indonesia and examines the impact of multiplier output agriculture sector on the economy. Analysis use Input-Output with secondary data Input-Output Indonesia 2010. The results showed that the manufacturing sector and electricity, gas, water sector had been linked to the future of the agricultural sector. Furthermore, electricity, gas, water sector; and the building sector have backward linkages to the agriculture sector. The multiplier output agricultural sector has multiplier output impact lower than other sectors in the economy. Multiplier household income and employment agriculture have a greater multiplier effect than other sectors. Keywords: Agriculture, Input-Output, Linkages, Multiplier Effect

scholarly journals ANALISIS PENENTUAN SUBSEKTOR PRIORITAS PADA BIDANG KELAUTAN INDONESIA (PENDEKATAN DETERMINISTIK INPUT-OUTPUT)

2018 ◽  
Vol 3 (1) ◽  
pp. 1
Author(s):  
Aulia Keiko Hubbansyah
Keyword(s):  
Oil And Gas ◽  
Input Output ◽  
Fish Processing ◽  
Short Term ◽  
Marine Tourism ◽  
Output Multiplier ◽  
Multiplier Effect ◽  
Backward Linkages ◽  
Offshore Mining

The aim of this study is to determine priority subsectors in the field of Indonesian marine. The analysis is done by input-output approach. This study has found several priority subsectors classified into two groups, namely short-term and long-term priority subsector groups. Short-term priority subsectors group in the Indonesian marine sector include fish processing and preservation industries, marine tourism, marine and fisheries support, marine and fisheries education and research services, and fisheries services. Meanwhile, for the long-term priority subsectors group the Indonesian marine sector comprises oil and gas mining and refining, marine trade services, offshore mining, fishery services and shrimp industry.Keywords: Input-Output, Multiplier Effect, Backward Linkages, Forward Linkages

scholarly journals Documentation of flora of Rara lake and adjoining areas in mid-western region of Nepal

2013 ◽  
Vol 21 (1) ◽  
pp. 41-47
Author(s):  
BK Basnet
Keyword(s):  
National Park ◽  
Secondary Data ◽  
Flowering Plant ◽  
Western Region ◽  
Ramsar Site ◽  
Secondary Sources ◽  
Data Field ◽  
Adjoining Area ◽  
Faunal Diversity ◽  
Flowering Plant Species

Rara National Park is the smallest national park of the country. It is rich in floral and faunal diversity. Rara is one of the sacred lakes and is listed as a Ramsar site. The aim of the study was to compile the representative flora of Rara lake and to present status of available vegetation. The research used both primary and secondary sources of data. Field visit was conducted in June, 2010 during which more than 300 plant specimens were collected. The secondary data were collected from Rara and adjoining area like Gamgadi. These data were thoroughly analyzed to understand the composition of vegetation. The study revealed the existence of about 224 flowering plant species in the area, under 173 genera and 67 families. Compositae was found to be the largest family (21 species and 17 genera) followed by Rosaceae (19 species and 10 genera). DOI: http://dx.doi.org/10.3126/banko.v21i1.9063 Banko Janakari, Vol. 21, No. 1 2011; 41-47

Effects of open innovation breadth on industrial innovation input–output relationships

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Alejandro Germán Frank ◽  
Guilherme Brittes Benitez ◽  
Mateus Ferreira Lima ◽  
João Augusto Bonzanini Bernardi
Keyword(s):  
Open Innovation ◽  
Transaction Cost Economics ◽  
Secondary Data ◽  
Moderating Effects ◽  
Input Output ◽  
Industrial Innovation ◽  
Content Type ◽  
Innovation Activities ◽  
Industrial Sectors ◽  
The Relationship

PurposeOpen innovation breadth (OIB) considers the diversity of external collaboration partners for innovation. The authors investigate the moderating effect of OIB on the relationship between industrial innovation activities (innovation inputs) and industrial innovation results (innovation outputs).Design/methodology/approachThis study is based on secondary data from the Brazilian innovation survey, representing more than 30,000 innovative companies across 55 industrial sectors.FindingsThis study’s results show that OIB has different moderating effects regarding the several innovation input–output relationships. While OIB benefits some relationships, others are hampered by the diversity of collaboration partners.Originality/valueFew studies have addressed OIB at the macro level. Using the perspective of transaction cost economics (TCE), the authors discuss the contributions and limitations of OIB at the industry level.

scholarly journals Estimating growth contributions by structural decomposition of input-output tables

2017 ◽  
Vol 67 (4) ◽  
pp. 605-642 ◽  
Author(s):  
Krisztián Koppány
Keyword(s):  
Value Chain ◽  
Time Lag ◽  
Decision Makers ◽  
Input Output ◽  
Calculation Methods ◽  
Central Statistical ◽  
Central Statistical Office ◽  
Structural Decompositions ◽  
Backward Linkages

This paper presents a case-study to demonstrate the calculation methods of growth contributions using structural decompositions of input-output tables and their Hungarian applications. Although the required data are available with a considerable time-lag, results show that taking backward linkages through demand for inputs and value chain multipliers into account can significantly alter the picture on the growth effects of industries and final demand categories by the conventional approach based on quarterly GDP calculations. This can be instructive for analysts and policy- and decision-makers not only in Hungary, but also in other countries. The study was performed by using public macroeconomic and sectoral data obtained from the Hungarian Central Statistical Office.

scholarly journals Study Area Specification in Forestry Economic Impact Analysis: Modifying County-Level Secondary Data

1999 ◽  
Vol 16 (3) ◽  
pp. 129-136
Author(s):  
John C. Leatherman ◽  
David W. Marcouiller
Keyword(s):  
Impact Analysis ◽  
Economic Impacts ◽  
Secondary Data ◽  
Input Output ◽  
Resource Base ◽  
Forest Management Planning ◽  
Economic Impact Analysis ◽  
Political Boundaries ◽  
Resource Policy ◽  
Data Files

Abstract One of the important objectives of forest management planning is to enhance the beneficial economic impacts of resource policy decisions. Input-output is one of the common tools planning analysts use to assess economic impacts. This paper presents procedures whereby the county data files for the Micro-IMPLAN input-output modeling system can be adjusted to create economic models at a finer level of geographic specificity than county-based models. Models specified to the minor civil division level can permit closer evaluation of resource policy impacts on regions defined by resource-base rather than administrative or political boundaries. North. J. Appl. For. 16(3):129-136.

Sign in / Sign up

Export Citation Format

Share Document