scholarly journals ANALISA STRUKTUR PASAR DAN EFISIENSI INDUSTRI PERBANKAN DI INDONESIA PERIODE 2017-2012

Media Ekonomi ◽  
2014 ◽  
Vol 22 (1) ◽  
pp. 27
Author(s):  
Nuraini Chaniago
Keyword(s):  
Data Envelopment Analysis ◽  
Market Structure ◽  
Market Share ◽  
Concentration Ratio ◽  
Banking Industry ◽  
Maximum Level ◽  
Data Envelopment ◽  
High Concentration ◽  
Input And Output ◽  
Analysis Technique

<p><em>The purpose of this study was to determine how the market structure and efficiency of banking industry in Indonesia.</em><em>The analysis technique used in this research is to use the concentration ratio (CR20) and the Herfindahl Hirchman Index (HHI), and DEA (Data Envelopment Analysis). This study uses data on the number of banking and corporate assets to determine the efficiency of using the 20 banks in the Input and Output of the report Indonesian banking in the period 2007-2012. </em><em>The results showed the level of concentration ratio (CR20) range from 77.69% - 79.47%. The figure shows the structure of the banking industry 2007-2012 period was a tight oligopoly. which means that the structure of the banking industry in Indonesia is not structured oligopoly monopoly but because it is not close to 1. When viewed competition banks in Indonesia is competitive with high concentration and competitive, it is characterized by competition between the market share of twenty dominant company in the Indonesian banking industry in the number of assets. In the calculation of the twenty study Indonesian banking industry in the period 2007-2012 by using the method of DEA (Data Envelopment Analysis) produced differences in the efficiency of each bank, Of the twenty 20 Indonesian banking industry that has not reached the maximum level of efficiency that is 100% should refer to the banking has reached a maximum level of 100% in accordance with the characteristics of banking itself.</em></p><p> </p>

scholarly journals STRUKTUR PASAR DAN EFISIENSI INDUSTRI PERBANKAN DI INDONESIA

Media Ekonomi ◽  
2018 ◽  
Vol 22 (2) ◽  
pp. 157
Author(s):  
Muhammad Rizky Ramadhan ◽  
Nur’aini Chaniago
Keyword(s):  
Data Envelopment Analysis ◽  
Market Structure ◽  
Market Share ◽  
Concentration Ratio ◽  
Banking Industry ◽  
Maximum Level ◽  
Data Envelopment ◽  
Input And Output ◽  
Analysis Technique

<span>The purpose of this study was to determine how the market structure and efficiency of <span>banking industry in Indonesia. The analysis technique used in this research is to use the <span>concentration ratio (CR20) and the Herfindahl Hirchman Index (HHI), and DEA (Data <span>Envelopment Analysis). This study uses data on the number of banking and corporate assets <span>to determine the efficiency of using the 20 banks in the Input and Output of the report <span>Indonesian banking in the period 2007-2012. The results showed the level of concentration <span>ratio (CR20) range from 77.69% - 79.47%. The figure shows the structure of the banking <span>industry 2007-2012 period was a tight oligopoly. Which means that the structure of the<br /><span>banking industry in Indonesia is not structured oligopoly monopoly but because it is not <span>close to 1. When viewed competition banks in Indonesia is competitive with high <span>concentration and competitive, it is characterized by competition between the market share <span>of twenty dominant company in the Indonesian banking industry in the number of assets. In <span>the calculation of the twenty study Indonesian banking industry in the period 2007-2012 by <span>using the method of DEA (Data Envelopment Analysis) produced differences in the <span>efficiency of each bank, Of the twenty 20 Indonesian banking industry that has not reached<br /><span>the maximum level of efficiency that is 100% should refer to the banking has reached a<span>maximum level of 100% in accordance with the characteristics of banking it self.</span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span><br /></span>

scholarly journals ANALISIS SCP PADA INDUSTRI PROPERTI DI INDONESIA

Media Ekonomi ◽  
2016 ◽  
Vol 24 (2) ◽  
pp. 139
Author(s):  
Nurhayati , ◽  
Husna Leila Yusran
Keyword(s):  
Data Envelopment Analysis ◽  
Concentration Ratio ◽  
Data Envelopment ◽  
Herfindahl Index ◽  
Total Revenue ◽  
High Concentration ◽  
Input And Output ◽  
Analysis Technique ◽  
Competitive Nature ◽  
Total Sales

<em>The purpose of this study is to determine how the structure, market concentration and efficiency of the property industry in Indonesia. The analysis technique used in this research is Concentration Ratio (CR10), Herfindahl Index-Hirschman (IHH) and Data Envelopment Analysis (DEA). Total revenue of the Indonesia property industry from 2010-2014 is used to calculate Concentration Ratio (CR10) and Herfindahl Index-Hirschman (IHH), while the Data Envelopment Analysis (DEA) is input and output, the input consists of total assets, debt, and equity, the output consists of total sales and profits. Based on the analysis the results of Concentration Ratio (CR10) is quite high, ranging from 74.65% - 77.16%, the market structure in the property industry classified within a tight oligopoly. Based on IHH has a range of numbers from 0.1013 to 0.56667, which means competition Indonesian property industry and the competitive nature of high concentration. Results DEA in 2010-2010 there are 4-8 efficient companies. As a result of which are oligopolistic and competitive, the companies in the property industry are doing a lot in marketing strategy as well as to achieve efficient companies should refer to the property industry has already reached the maximum efficient rate.</em>

scholarly journals ANALISIS STRUKTUR, KONSENTRASI, DAN EFISIENSI PASAR INDUSTRI TELEKOMUNIKASI DI INDONESIA

Media Ekonomi ◽  
2016 ◽  
Vol 24 (2) ◽  
pp. 113
Author(s):  
Zulfikar Adi Satria ◽  
Tri Kunawangsih P
Keyword(s):  
Data Envelopment Analysis ◽  
Market Structure ◽  
Concentration Ratio ◽  
Telecommunications Industry ◽  
Telecommunication Industry ◽  
Data Envelopment ◽  
Total Revenue ◽  
Analysis Technique ◽  
Efficient Level ◽  
Very High

<p><em>The purpose of this study was to determine how the structure, market concentration and efficiency of the telecommunication industry in Indonesia. The analysis technique used in this research is Concentration Ratio (CR4) and Data Envelopment Analysis (DEA). Total revenue of the Indonesia telecommunication industry from 2010-2015 were used to calculate Concentration Ratio (CR4) and Data Envelopment Analysis (DEA) are input and output, the input consists of total assets, debt and equity, the output consists of total revenue and gross profits. Based on the analysis results of Concentration Ratio (CR4) is quite of very high ranging from 98,17% - 99,67%, the market structure in property industry classified within a very high concentrated oligopoly. Results from Data Envelopment Analysis (DEA) in 2010-2015 there were 1 efficient company. As a result of an oligopoly market structure is very tight, then in the telecommunications industry is a lot to make improvements to network sharing and speed the delivery of messages, telephone, and internet as well as to achieve efficient company should refer to the telecommunications industry, which reached the maximum efficient level. In order to achieve an efficient level that has not been efficient, the company must conduct debt reduction, labor usage more efficient and increase product sales.</em></p>

scholarly journals Market Share, Concentration Ratio and Profitability: Evidence from Indonesian Islamic Banking Industry

2019 ◽  
Vol 8 (2) ◽  
pp. 189-201
Author(s):  
M. Nur Rianto Al Arif ◽  
Tara Bilqis Awwaliyah
Keyword(s):  
Market Structure ◽  
Market Share ◽  
Concentration Ratio ◽  
Banking Industry ◽  
Random Effect ◽  
Random Effect Model ◽  
Islamic Banking ◽  
Efficiency Ratio ◽  
Effect Model ◽  
Default Rate

Abstract Various literatures mention that an increasingly concentrated market will have an impact on performance. This study aims to analyze the influence of market structure on the profitability of the Islamic banking industry in Indonesia, especially after the enactment of the Islamic banking act. This research used panel regression with random effect model. The result shows that market structure - proxies by market share (MS) and concentration ratio (CR4)- does not affect profitability of the Indonesian Islamic banking industry. This result implies that the performance of the Islamic banking industry in Indonesia is not supported by the traditional hypothesis and the efficient structures hypothesis. However, this research indicates that there is no collusive behavior in the Islamic banking industry in Indonesia. Meanwhile, for control variables such as liquidity ratio, default rate, and operational efficiency ratio have been found to have adverse effect on the performance of the Islamic banking industry in Indonesia.

scholarly journals PENGARUH KONSENTRASI STRUKTUR PASAR TERHADAP KINERJA INDUSTRI KOMERSIAL PERBANKAN DI INDONESIA PERIODE TAHUN 2007 - 2011

2020 ◽  
Vol 2 (4) ◽  
Author(s):  
Mr Rofanov
Keyword(s):  
Market Structure ◽  
Market Share ◽  
Commercial Banks ◽  
Concentration Ratio ◽  
Banking Industry ◽  
Capital Adequacy ◽  
Return On Assets ◽  
Net Interest Margin ◽  
Banking Market ◽  
Capital Adequacy Ratio

Based on the ratio of market share of 11 commercial banks discovered the phenomenon gap of the period 2007-2011 where 11 commercial banks dominate the banking market predominantly in Indonesia, including four state-owned banks. This phenomenon has resulted in the banking market structure tends to form an oligopoly, it is obviously affecting the behavior of banks that have a dominant position to maintain supernormal profit, which is reluctant to extend credit with low interest tribes and not a reflection of efficient behavior that ultimately lead to the real sector can not run role in the economy because of factors hampered financing. And with the market conditions are 11 commercial banks were so dominant, which is feared if one bank's collapse could affect the performance of banks in a systemic and even disrupt the Indonesian economy in general. The objectives of this research to determine the form of the banking market structure and analize the influence of concentration market structure and Capital Adequacy Ratio (CAR), Non Performing Loan (NPL), Net Interest Margin (NIM), and Loan to Deposit Ratio (LDR) to Return on Asset (ROA) wich is as a proxy of Financial Performance Banking in 2007 until 2011 periods. The data in this study was collected from Indonesian Banking Directory of 2007-2011. The collected sample was 11 biggest commercial banks over the period from 2007-2011. The analysis model  was used to determine the shape of banking market structure by using CR4 concentration ratio (Four Concentration Ratio) on a share of the assets, the share of third-party funding (DPK) and the share of loans, that produce banking that shaped the oligopoly market structure moderate low or concentration oligopoly level IV, where four largest banks a dominate about 42% - 50% market share. The estimation of the Fixed Effect Model unknown  that concentration market, market share, Capital Adequacy Ratio (CAR), Net Interest Margin (NIM) and the Loan to Deposit Ratio (LDR) has a positive effect on profitability (Return on Assets ) as a proxy for the performance of the banking industry. And for the  Non Performing Loan (NPL) has a negatively effect on profitability (Return on Assets) as a proxy for the performance of the banking industry.

scholarly journals Efficiency Considering Credit Risk in Banking Industry, Using Two-stage DEA

2013 ◽  
Vol 4 (8) ◽  
pp. 356-360
Author(s):  
Hadi Ghafoorian ◽  
NikIntan Norhan . ◽  
Mohammed Ndaliman Abubakar . ◽  
Fazel Mohammadi Nodeh .
Keyword(s):  
Data Envelopment Analysis ◽  
Credit Risk ◽  
Banking Industry ◽  
Bank Performance ◽  
Data Envelopment ◽  
Two Stage ◽  
New Markets ◽  
Second Stage ◽  
Analysis Technique ◽  
Strong Competition

The increased competition in the banking industry and banks' efforts to participate in new markets has affected bank performance and credit risk. Their presence in new markets and strong competition from other competitors today makes them face more uncertain situation. Given the importance of this issue, there are few studies about the efficiency calculated with regard to credit risk. Banking literature on this subject is poor. This paper introduces two-stage data envelopment analysis technique for estimation of their efficiency with regard to credit risk, its output and inputs in the first and second stage. Non-performing loans is output to proxy credit risk.

scholarly journals ANALISIS EFISIENSI PERBANKAN YANG TERDAFTAR DI BURSA EFEK INDONESIA (BEI) TAHUN 2012-2013

2014 ◽  
Vol 12 (1) ◽  
pp. 16
Author(s):  
Dichi Febrian Putra
Keyword(s):  
Data Analysis ◽  
Data Envelopment Analysis ◽  
Stock Exchange ◽  
Data Envelopment ◽  
A Value ◽  
Input And Output ◽  
Analysis Technique ◽  
Fixed Assets ◽  
Using Data ◽  
The Cost

The aims of this study is to measure and explain the efficiency level of bank listed on the Indonesia Stock Exchange (IDX) 2012-2013, as well as to analyze the composition of input and output that must be performed by an inefficient banking and the best reference for an inefficient banking on efficient banking. The data analysis technique that used in this study is using Data Envelopment Analysis (DEA) by using a model of Constant Return to Scale (CRS) consisting of the input variable (deposit, fixed assets, and the cost of labor) and output (loans). The result of this study indicated that the 33 banks listed on the Stock Exchange has an average technical efficiency of 86.72% in 2012 and 84.98% in 2013. Overall only six banks that have 100% value of efficiency in 2012, while in 2013 there are five banks which have 100% value of efficiency. Banks that have an efficiency value 100% can be a reference for a bank that has inefficient value which is under 100%. The cause of large inefficiency is because the disbursed loan variable has a value 81.81% on 2012 and 84.84% on 2013.

Sign in / Sign up

Export Citation Format

Share Document