scholarly journals MULTIPLIER EFEK PENINGKATAN INVESTASI SEKTOR INDUSTRI PENGOLAHAN DI KAWASAN INDUSTRI TERHADAP KINERJA SEKTOR PENGANGKUTAN/LOGISTIK

2018 ◽  
Vol 2 (2) ◽  
pp. 127-134
Author(s):  
Winardi Winardi ◽  
Heru Kustanto

The manufacturing industry sector is an economic sector that provides the largest contribution to the national economy so that the performance of the manufacturing industry greatly affects overall economic performance. Industrial sector investment is currently required to be located within industrial estates in order to improve efficiency, organize space, manage the environment and optimize the multiplier effects on other economic sectors. This study aims to analyze the multiplier effects of increased investment in the manufacturing industry sector in industrial estate on the performance of the transport/logistics sector. The analysis model uses the Social Accounting Matrix (SAM) Model, which is an effect multiplier analysis. The results of the research show that the increase in investment in the manufacturing industry sector located in the industrial area provides a multiplier effect on improving the performance of the transportation/logistics sector in the form of increased transportation/logistics sector revenues.

2016 ◽  
Vol 4 (1) ◽  
pp. 45
Author(s):  
Dessy Eresina Pinem

<pre><em>The industrial sector is a primary sector has the potential to create a progressive growth in a region. The growth in the region rely on the industrial sector was driven by sales of production, employment, and other multiplier effects so </em><em>that </em><em>many </em><em>of </em><em>districts or cities in North Sumatra </em><em>try</em><em> to develop this sector. The industr</em><em>y </em><em>that can be developed </em><em>is</em><em> an appropriate industrial potential and local resource to be optimal growth in the region. In RTRW Kota Binjai years 2011 - 2030, District of North Binjai designated as an industrial area. Industries that are planned to be developed are a high-tech industry. But the problem is whether the type specified in the RTRW industry is the industry that corresponds to the potential of local resources and the District of North Binjai? The purpose of this paper is to find the right industry to be developed by local potential or excellence, especially in the District Binjai Utara Binjai. The analytical tool used is the analysis of LQ, shift share and SWOT discovered the potential and advantages that can be seen Binjai compliance with industry directed by RTRW. The analysis </em><em>results </em><em>show that the industrial sector is not a primary</em><em> </em><em>sector or potential sector in Binjai. The results of LQ and shift share analysis show that the sector with the potential to be developed in Binjai was the construction sector, finance, and services. The similarity with the RTRW policy is only in the service sector. This shows that the service sector can be developed while the computer industry, multimedia, publishing, and printing) is not in accordance with the local potential. However, if the government still wants to develop the industrial sector in North Binjai, there should be diversification strategies, namely building-related industry sectors, such as industry superior building materials and mining industries.</em><em></em></pre>


2020 ◽  
Vol 8 (1) ◽  
pp. 36-50
Author(s):  
Sigit Andy Cahyono ◽  
Faiqotul Falah ◽  
S. Agung Sri Raharjo

Rawa Pening Lake is one of the priority lakes facing severe eutrophication and sedimentation problems. Agriculture is one of the problems in Rawa Pening Lake, even though community welfare is the government's policies. For this reason, the development of the economic sector in Rawa Pening catchment area must have advantages, yet information on this is still neglected and limited. The study aims to analyze the leading economic sectors in the Rawa Pening catchment area. The study used the Klassen Typology method to determine the pattern and structure of the economy and the Location Quotient method in determining the economic sector that has a comparative advantage in each sub-district and analysis of sectoral contributions. The data used is secondary data and field observations. The results showed that Bawen Subdistrict was a developed but depressed area, relying on the manufacturing industry sector. Rapidly developing districs (Tuntang, Jambu, Sumowono, and Ambarawa) rely on all economic sectors. The lagging districts (Getasan and Banyubiru) relly on the primary sector. Leading sectors of each district differ depending on resources and comparative advantage. Leading economic sector contribute relatively significantly to economic development in the lake Rawa Pening catchment. The development of the economic sector will be better directed to leading economic sector so that it can attract sector that are not base, especially in the limited resources and allocation of development budgets. In addition, Location Quotient analysis can be used for analysis of areas with natural boundaries such as catchments or watersheds.


2020 ◽  
Vol 7 (12) ◽  
pp. 2385
Author(s):  
Ratna Komalasari ◽  
Tegar Nuryitmawan ◽  
Sutyastie Soemitro Remi ◽  
Ferry Hadiyanto

ABSTRAKPenelitian ini bertujuan menganalisa kontribusi sektor industri makanan halal terhadap perekonomian Indonesia. Penelitian ini menggunakan pendekatan analisis Input-Output, dengan data sektor industri olahan makanan yang berasal dari tabel Input-Output Badan Pusat Statistik (BPS) 2010. Sesuai dengan Standarisasi Fatwa Halal Majelis Ulama Indonesia Nomor 4 Tahun 2003, riset ini menggunakan variabel teknis berupa sektor industri makanan yang mengeluarkan sektor non-halal berupa minuman beralkohol. Berdasarkan analisis I-O diketahui bahwa sektor industri makanan halal berkontribusi kepada perekonomian Indonesia melalui multiplier. Sektor primer dari indutri makanan halal adalah sub sektor minyak hewani dan nabati yang akan meningkatkan output seluruh sektor perekonomian sebesar Rp 1,5 Triliun. Sedangkan dari sisi pendapatan masyarakat sub sektor unggulan industry makanan halal adalah minuman tidak beralkohol dengan tingkat income multiplier Rp 0,193.  Dapat disimpulkan bahwa sektor industri makanan halal di Indonesia memiliki potensi yang lebih kuat dari sisi produksi dibandingkan dengan pendapatan masyarakat.Kata Kunci: Industri Halal, Makanan Halal, Input-Output, Analisis Multiplier, Indonesia. ABSTRACTThis research’s objective is to analyze the contribution of halal food industry sector towards the economy of Indonesia. This research uses Input-Output analysis approach, using the data of processed food industry sector originated from the Input-Output table released by The Central Bureau of Statistics (BPS) in 2010. Corresponds with Fatwah of Indonesian Ulema Council on Halal Standardization number 4, year 2013, this research uses technical variable in the form of food industry sector which excludes the non-halal sector that is alcoholic beverages. Based on the I-O analysis, it is known that halal food industry sector is contributing to Indonesia’s economic growth through multiplier. Primary sector from halal food industry is subsector of animal and vegetable oil which will increase the whole output of economic sectors as much as 1,5 trillion Rupiah. Wherein from the perspective of national income, leading subsector of halal food industry is non-alcoholic beverages with the increase of income multiplier as much as 0,193 trillion Rupiah. From the findings, it can be concluded that halal food industry sector in Indonesia has a more significant potential, production-wise, compare to the national income.Keywords: Halal Industry, Halal Food, Input-Output, Multiplier analysis, Indonesia.


2018 ◽  
Vol 1 (2) ◽  
pp. 116-123
Author(s):  
Mohammad Wasil ◽  
Mohammad Wahed

The purpose of this study is to analyze what economic sectors are potential to be used as development priorities and patterns of economic growth in the economy of Mojokerto Regency. The method used is: Location Quotient, Shift Share, and Williamson Index. From the analysis of the location quotient that falls into the category of the base sector are Agriculture, Clean Water & Water Sector, Building Sector, Transportation & Communication Sector, Financial Sector, Corporate Leasing & Services, and Services Sector. And the results of the shift share analysis show that the sectors with the fastest growth are the agricultural sector, mining & quarrying sector, manufacturing industry sector, and the trade sector, and the services sector. While the results from Williamson study show that the sub-districts that have the highest level of inequality are in Mojosari sub-district, Pungging subdistrict, and Kemlagi sub-district


Media Ekonomi ◽  
2019 ◽  
Vol 26 (1) ◽  
pp. 63
Author(s):  
Azzely Muhammad Hilman ◽  
Astrid Maria Ester

<em><span lang="IN">This study aims to analyze the role of the manufacturing industry in the economy in Indonesia. This study analyzes the linkages of the manufacturing industry sector with other economic sectors, both for input providers and sectors that use output from the manufacturing industry in Indonesia. this study also analyzes the dispersion coefficients and the sensitivity of the spread of the processing industry sector, and analyzes the economic effects caused by the manufacturing industry sector based on the multiplier effect on the labor force. </span></em><em><span lang="IN">The analytical method used is an analysis of the 201</span><span lang="EN-ID">5</span><span lang="IN"> Indonesia Input-Output Table with a classification of 17 sector</span><span lang="EN-ID">s. <em><span lang="IN">Based on the results of data processing, on the linkage analysis, forward linkage the manufacturing sector is relatively larger compared with the backward linkage, as well as the manufacture industry has the highest direct forward linkage to the construction sector and the manufacture industry has the highest direct backward linkage to the industrial sectors processing itself. On the value of spread coefficient is obtained that the manufacturing industry sector is able to increase the growth of the upstream sector and at deployment sensitivity index shows the results of the manufacturing industry sector can also be able to increase growth in the downstream sector. In terms of labor multiplier, Overall if the final demand of the manufacturing industry sector is increased by 1%, it will increase the total employment opportunity of Indonesia in 2010 by 202,860 people or increase by 1,278% from the previous amount. </span></em></span></em>


2016 ◽  
Vol 4 (1) ◽  
Author(s):  
Prashant H. Bhagat

The BID (Board of Industrial Development) framed the legislation and it was introduced before the state legislation and passed in the form of Maharashtra Industrial Act which gave birth to Maharashtra Industrial Development Corporation (MIDC), as a separate corporation on August 1, 1962. The BID was the first personnel strength of MIDC. A small ceremony at Wagle Estate Thane, under the Chairmanship of the Chief Minister Shri Y.B. Chavan, marked the birth of MIDC on August 1, 1962. The Board of Industrial Development during its existence between October 1, 1960 and August 1, 1962 has done enough spade work to identify the locations for setting up industrial areas in different parts of the state. Thus, right in the first year of establishment MIDC came up with 14 industrial areas, to initiate action for infrastructure and help entrepreneurs set up the industrial units in those areas. Maharashtra Industrial Development Corporation is the nodal industrial infrastructure development agency of the Maharashtra Government with the basic objective of setting up industrial areas with a provision of industrial infrastructure all over the state for planned and systematic industrial development. MIDC is an innovative, professionally managed, and user friendly organization that provides the world industrial infrastructure. MIDC has played a vital role in the development of industrial infrastructure in the state of Maharashtra. As the state steps into the next millennium, MIDC lives up to its motto Udyamat Sakal Samruddhi i.e., prosperity to all through industrialization. Indeed, in the endeavor of the state to retain its prime position in the industrial sector, MIDC has played a pivotal role in the last 35 years. MIDC has developed 268 industrial estates across the state which spread over 52653 hectares of land. The growth of the Corporation, achieved in the various fields, during the last three years, could be gauged from the fact that the area currently in possession of MIDC has doubled from 25,000 hectares in 1995.


2020 ◽  
Vol 2 (3) ◽  
Author(s):  
Yurlis Sartika ◽  
Syamsul Amar

Abstract : This study aims to analyze the factors that influence the demand for fuel oil in Indonesia. The independent variables of this study are: (X1) Economy, (X2) Total Population. The model chosen in this study is the Random Effect Model (REM).            This type of research is descriptive and associative research, the data used in this study are secondary data using panel data techniques during the 2015-2018 period. Documentation data collection techniques obtained from the Central Statistics Agency and BPH Migas. Data were analyzed using the Regression Panel.   The results of this study indicate that: (1) The economy has a positive and significant effect on demand for fuel oil in Indonesia. This means that as the economy increases, the demand for fuel oil in Indonesia also increases. Indonesia's energy consumption is dominated by fossil energy, especially fuel. Final energy consumption consists of various sectors, namely households, industry, transportation, commercial, and others. Energy is very much needed in carrying out Indonesia's economic activities, both for consumption needs and for the production activities of various economic sectors. (2) The population has a positive and significant effect on the demand for fuel oil in Indonesia. This means that the greater the population, the higher the demand for fuel oil in Indonesia. From year to year the population of Indonesia as one of the developing countries in the world continues to experience growth. This growth has had various impacts on aspects of human life. One aspect that is quite affected by the increase in population is the use of energy to support the necessities of life which includes the industrial sector, households, transportation and so forth. The greater the population, the greater the energy used. Keywords : Economy, Population and Panel Regression


2021 ◽  
Vol 10 (1) ◽  
pp. 93-112
Author(s):  
Rinayanti Rinayanti ◽  
Riatu Mariatul Qibthiyyah

Using three industry structure indices: specialization, diversification, and competition, we explore how local industry structure may affect firm productivity in the industrial estates. Based on unbalanced panel data of large and medium-sized industrial firms in Indonesia during 2010-2015, our study found that local industry structure influences firm productivity, measured as total factor productivity (TFP). The effect differs between firms outside the industrial estate and firms in the industrial estate. Specialization decreases the productivity of both firms in the industrial estate and outside. Diversification has a positive effect on increasing firm productivity in the industrial estate. As for firms outside the industrial estate, diversification has a negative effect, but the effect is less significant. Meanwhile, local industry competition has a positive and significant effect on firm productivity outside the industrial estate, but the effect is not significant for firms within the industrial estate. Empirically, firms in industrial estates may only benefit from a diversified local industry structure.JEL Classification: D24, L52, R10How to Cite:Rinayanti., & Qibthiyyah, R. M. (2021). Indonesia Local Industry Structure and Firms Productivity in Industrial Area. Signifikan: Jurnal Ilmu Ekonomi, 10(1), 93-112. doi: http://doi.org/10.15408/sjie.v10i1.17197.


2021 ◽  
Vol 51 (51) ◽  
pp. 35-45
Author(s):  
Svetlana Rastvortseva ◽  
Aizhan Amanalieva

Abstract The development of national innovative systems is intended to solve a number of issues: from decreasing socio-economic inequality in countries and regions to creating environments favourable to new high-tech production and diversification of industrial composition. Determination of the possibilities for expanding the set of innovative types of economic activity must be scientifically substantiated, since significant financial, material and human resources may be consumed in creating and supporting new economic sectors within the framework of state policy. This article contains an attempt to create a mechanism for revealing promising trends in the development of an innovative economic sphere, taking into account comparative advantages in the commodity composition of exports by determining technological proximity indicators. The article aims to substantiate the possibility of using the concept of technological proximity in developing national innovative systems. The study employs technological proximity indicators based on the revealed comparative advantages (RCA) of countries by commodity groups of export. A matrix of technological proximity in the industrial fields (at a six-unit level) for 28 countries of the European Union in 2007–18 was made. The results revealed comparative advantages by groups of high-tech products in EU countries in real time. The analysis of technological proximity in the industrial sector has shown the types of economic activity connected with the innovative sector, which was used to determine the countries’ degree of participation in the manufacture of high-tech products. The proposed mechanism can be used in the development and implementation of national and regional policy in the sphere of innovative systems, since it allows promising areas for creation and support of new high-tech productions to be determined.


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