scholarly journals Analisis Struktur Perekonomian Berdasarkan Pendekatan Input- Output di Provinsi Jawa Timur

2019 ◽  
Vol 8 (1) ◽  
pp. 26-36
Author(s):  
Endah Kurnia Lestari ◽  
Olvi Mifta Alfiatul Jannah

This study aims to (1) discover the shift of economic structure of East Java Province period 2010 and 2015; (2) to identify the various leading sectors in economic development in East Java Province Period 2010 and 2015. The analysis method used in this research is quantitative descriptive by using the Input-Output approach. The linkages between sectors of the economy, leading sectors, and economic sector multipliers have widely used to analyze this approach. Furthermore, structural shifts are analyzed using a multiplier product matrix (MPM) that can describe the landscape of an economy. The results showed that based on the analysis of MPM has not occurred a shift in economic structure significantly. However, there has been a change in the tertiary sector. Although until now, the economy of East Java Province is still dominated by the secondary industry. The leading industry of East Java Province is owned by the manufacturing industry, although there are other potential sectors as the leading sector.

2013 ◽  
Vol 291-294 ◽  
pp. 1327-1331
Author(s):  
Xiao Qiao Guo ◽  
Bin Zhang ◽  
Gang Yan

As china become the world factory, machinery manufacturing industry accounts for more and more part of economic development and energy consumption in china nowadays. Based on input-output analysis method, the direct and complete coefficients of energy consumption in machinery manufacturing industry were calculated, and the percentage of energy consumption driven by different factors was also computed respectively. It can be demonstrated machinery manufacturing industry will induce the energy consumption in the other industries extensively and exporting is the main factor which drives the energy consumption in machinery manufacturing industry.


2012 ◽  
Vol 3 (2) ◽  
pp. 803
Author(s):  
Hartiwi Prabowo

PD. PENGGILINGAN PLASTIK XYZ is a company engaged in the manufacturing industry. Recently, demands for products are increasing and the company finds it difficult to meet the demands. Therefore, the company wants to expand the factory to increase output of the products. The purpose of this study is to determine whether the expansion of businesses that want to run is well-worth in terms of financial and nonfinancial aspects. The research method used is descriptive qualitative and quantitative methods. Qualitative descriptive analysis method is used to analyze the legal, technical/operations, markets and marketing, management/organizational, economic, social and environmental impacts. Quantitative descriptive analysis method is used to analyze the financial aspects, the market and marketing. The results of the feasibility study of the factory expansion from the financial aspect refer to an optimistic scenario assumptions and moderate, and worthy to do. Similarly, the non-financial aspects, all aspects point out that the expansion of the factory is feasible to do. By this, the company is expected to maintain a stable supply of raw materials, because, if the supply of raw materials is interrupeted, the operation cannot run.


2020 ◽  
Vol 18 (5) ◽  
pp. 909-939
Author(s):  
M.V. Dement'ev

Subject. This article examines the theoretical and practical aspects of the implementation of industrial policy and the structural transformation of the manufacturing industry in St. Petersburg. Objectives. The article aims to justify the priority of the industry-based approach to industrial policy in St. Petersburg and determine its effectiveness by highlighting the factors of structural transformation of the city's manufacturing industry using the Shift-Share Analysis method. Methods. For the study, I used logical, statistical, and factor analyses. Results. Based on shift-share analysis, the study highlights positive results of industrial policy in the development of certain industries in St. Petersburg, as well as those industries that require further development of urban industrial policy. Conclusions. Despite the fact that the industry of St. Petersburg as a whole has become more stable, problems in the development of mechanical engineering and production of computers, electronic and optical products have not yet been solved.


2019 ◽  
Vol 2 (2) ◽  
pp. 372
Author(s):  
Suryanta Suryanta

This study aims to analyze whether the performance of regional financial management influences economic growth in Depok City, analyzes whether the performance of regional financial management influences unemployment in Depok City, and analyzes whether the performance of regional financial management affects poverty in Depok City with the 2006 study period- 2015 The analysis method used is quantitative descriptive analysis and simple linear regression statistical analysis. Based on the results of hypothesis testing it can be proven that the performance of regional financial management (independence ratio) has a positive and significant effect on economic growth, this can be seen from the value of sig. 0.046 <0.05 with a regression coefficient of 1.883. Then the performance of regional financial management has a negative and significant effect on unemployment, this can be seen from the value of sig. 0.030 <0.05 with a regression coefficient of -6.864. But the performance of regional financial management has no significant effect on poverty, this can be seen from the sig. 0.065> 0.05 with a regression coefficient of -0.512. This can be due to the still high income gap in the community, so that the increasing regional income has not been able to significantly reduce poverty in Depok.


2013 ◽  
Vol 423-426 ◽  
pp. 2261-2265
Author(s):  
Cheng Qiang Liu ◽  
Guo Ping Cheng

The performance of the technology integration innovation platform shows that the group's overall value creates result, the correct evaluation can help the platform to optimize the better allocation of resources, to achieve better output effect. We use data envelopment (DEA) method based on clearing connotation of the technology integration innovation platform performance, analyze the technology integration innovation platform input-output performance, summarize the analysis method and analyze the example simply, produce reference to the technology integration innovation platform.


2016 ◽  
Vol 5 (2) ◽  
pp. 59
Author(s):  
TJOKORDA GDE AGUNG FRISKA ADNYANA ◽  
G. K. GANDHIADI ◽  
DESAK PUTU EKA NILAKUSMAWATI

The aim of this research is to apply Fuzzy Analytic Hierarchy Process method to determine the dominant sectors of economy Bali Province. This research used survey data from respondents who understand about economy of Bali Province and Gross Regional Domestic Product (GRDP). The research variables consist of criteria and sub-criteria. The criteria consist of primary sector, secondary, and tertiary, while the sub-criteria consist of 9 sectors of the GRDP. Data processing is done by calculating the weighted average and arrange them into pairwise comparison matrices. Furthermore, the consistency ratio is checked. If consistency ratio less than 0.100 (), the elements of matrices is changed into triangular fuzzy scale and processed with synthetic extent to get the priority. Based on the result of research, the economy of Bali are dominated by tertiary sector in sector group, agriculture and forestry in sub-primary group, manufacturing industry in sub-secondary group, and trade, hotel and restaurant in sub-tertiary group.


2009 ◽  
Vol 56 (3) ◽  
pp. 301-326
Author(s):  
Yay Gürkan ◽  
Serkan Keçeli

In this study, the leading activities of Turkish Economy whose changes in their structure of production, value-added and employment are interrelated with the other activities of the economy, are found by using the input-output model which is presented and called as an 'Application of the General Equilibrium Theory' by Leontief. For this purpose; firstly theoretical foundations of the input-output model are examined. After that, 59 activities of the 2002 Input-Output Table of the Turkish Economy are aggregated at 52 sectors and classified into three categories as Ricardo Sectors, High-Technology Sectors and Heckscher-Ohlin Sectors like Dasgupta and Chakraborty did for the Indian Economy in 2005. Then, the leading, key or strong activities of the economy that are more interrelated with other activities are calculated and found by the Static Leontief Model which is used by the Traditional Methods as the techniques to calculate the linkage effects like Chenery-Watanabe and Rasmussen methods to determine the sectors having the highest priority at investment policies according to the Hirschmanian Unbalanced Growth Model. As a result of the interpretation of Leontief Model, using the traditional methods of Chenery-Watanabe and Rasmussen while calculating the linkage effects rather than the hypothesis extraction methods like Strassert's Original Extraction Method, Cella's Extraction Method, Sonis' Pure Linkage Method and Dietzenbacher and Van der Linden's Method or a SAM (Social Accounting Method) model which does not omit the income generating process (distributing income among primary factors and households as a result of production) of a sector, in Turkey, the Heckscher-Ohlin Sectors mostly seen in the manufacturing industry which Kaldor refers as the engine of growth, are stronger than the other sectors.


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