scholarly journals ANALISIS STRUKTUR PASAR DAN PERILAKU INDUSTRI SEPEDA MOTOR DI JAKARTA TAHUN 2009-2012

Media Ekonomi ◽  
2017 ◽  
Vol 20 (1) ◽  
pp. 27 ◽  
Author(s):  
Arviana Yuliasari
Keyword(s):  
Market Structure ◽  
Market Share ◽  
Concentration Ratio ◽  
Industry Association ◽  
Quality Product ◽  
Motorcycle Industry ◽  
And Behavior ◽  
Concentration Ratios

<p>Motorcycle industry in Jakarta has developed very rapidly. It is because the motorcycle industry become primary attention in market structure and behavior of the industry. Motorcycle industry in Indonesia aims to produce a better quality product and increase sales of motorcycle products, in order to generate maximum profits. This study aims to analyze the market structure of the motorcycle industry in Jakarta in 2009 until 2012. Motorcycle companies use in this research are members of the AISI (Indonesian Motorcycle Industry Association) a motorcycle with brands Yamaha, Honda, Suzuki, Kawasaki and Kanzen. The method of analysis used in this study is concentration ratios CR4 and IHH calculation, to determine the market share of the motorcycle industry in Jakarta. The results showed the motorcycle industry in Jakarta have an oligopoly market structure with a concentration above 90 percent in 2009-2012.<br />Keywords : Oligopoly, Concentration Ratio, Conduct.</p>

scholarly journals ANALISIS STRUKTUR PASAR DAN PERILAKU INDUSTRI BAN DIINDONESIA TAHUN 2007-2011

Media Ekonomi ◽  
2017 ◽  
Vol 20 (3) ◽  
pp. 99
Author(s):  
Lusiana .
Keyword(s):  
Market Structure ◽  
Market Share ◽  
Automotive Industry ◽  
Concentration Ratio ◽  
Secondary Data ◽  
Motor Vehicles ◽  
Tire Industry ◽  
Industrial Rubber ◽  
A Company ◽  
Tyre Industry

<p>Development of the tire industry in Indonesia is influenced by developmentsin the automotive industry. This occurs because the demand in tire industry is thederived demand principle for a good or service that appears as a result of thedemand for other goods. The number of motor vehicles from previous years isincreased, if in a year 2013 there was no credit restrictions so the number of motorvehicles will be growing and demand for tires in domestic will increase. This research aims to find out market structure of the tire industry in Indonesia year 2007 until 2011, and describes the conduct as a result of the existingmarket structure. Some tire companies analyzed is a company incorporated inAssociation of Tire Companies Indonesia (APBI) that is PT Goodyear Indonesia Tbk,PT Bridgestone Tire Indonesia, PT Gajah Tunggal Tbk, PT Industrial Rubber Deli,PT Sumi Rubber Indonesia, PT Eagle Premium Tyre Industry, PT SuryarayaRubberindo Industries, PT Banteng Pratama Rubber Co, PT Hung­A Indonesia, PTUnited King­Land and PT Surabaya Kencana Tyre Industry. The data used in thisresearch is secondary data obtained from the Association of Tire Companies Indonesia (APBI). The method of analysis used in this study is a method of structureconductperformance. To determine the market structure of the tire industry is done by calculating the concentration ratio (CR4) and Herfindal Hirschman Index (IHH).Conduct of the tire industry can be analyzed descriptively derived from interviews. The results of this research is indicate that the tire industry in Indonesiaincluding the tight oligopoly structure. This is demonstrated by the level ofconcentration ratio (CR4) of the four largest companies ranged from 87,89 to 88,81percent. While the value Herfindal Hirschman Index (IHH) ranges from 0.2669 to0.3172 percent. Four companies with the largest market share among other PTGajah Tunggal Tbk, PT Bridgestone Tire Indonesia, PT Sumi Rubber Indonesia andPT Goodyear Indonesia.<br />Keyword: Market share, CR4, IHH, Indonesian tire industry and oligopoly.</p>

scholarly journals STRUCTURE, BEHAVIOR, AND MARKET PERFORMANCE ON MARKETING OF PATCHIE OIL IN BUKUT VILLAGE, TERANGUN DISTRICT GAYO LUES DISTRICT

2021 ◽  
Vol 1 (2) ◽  
pp. 381-398
Author(s):  
Muhammad Authar ND ◽  
Anwar Puteh
Keyword(s):  
Market Structure ◽  
Market Share ◽  
Concentration Ratio ◽  
Market Performance ◽  
Secondary Data ◽  
Share Price ◽  
Primary Data ◽  
Snowball Sampling ◽  
Market Behavior ◽  
Analysis Tools

Patchouli (Pogostemon cablin Benth) is an essential oil-producing plant which is a source of foreign exchange for the country. Indonesia is currently the world's producer of patchouli oil with a contribution of 90%, for that it is necessary to maintain market opportunities by increasing production through appropriate cultivation techniques, improving the quality of patchouli oil and developing patchouli plantings in areas that have bright prospects seen from the level of suitability. land and climate.The purpose of this study was to determine market structure, market behavior (various forms of collusion) and market appearances that occurred in the marketing of nimal oil in Bukut Village, Terangun District, Gayo Lues Regency. The data used are primary data and secondary data, for market participants, snowball sampling is used. The method used to analyze the market structure is Concentration Ratio analysis tools (Market Share, Herfindal Index and Concentration Ratio for Biggest Four or ), Degree of Product Differentiation, Barriers to Market Entry and Level of Market Knowledge. To analyze Market Behavior, it is descriptively analyzed about collusion and strategies that occur. To analyze the Market Performance used the analysis tools of Marketing Margin, Share Price, and Cost and Profit Ratio.〖CR〗_4.Market share at the collector levelthere is an oligopoly marketing system for patchouli oil with loose concentration. The concentration of buyers in marketing patchouli oil in Bukut village, both collectors, village collectors, and representative warehouses/ wholesalers is oligopsony. The marketing structure of Patchouli Oil in Gayo Lues, at the level of collector traders is a loose oligopoly with a CR4 value of 0.5421, at the level of a village collector it is a tight oligopoly with a CR4 value of 0.8855, while at the warehouse representative/ wholesaler level it is a tight oligopoly with a CR value, reaching 1.00. should have a value of 1.00 is a monopoly, but because there are still three competing companies, it is categorized as a strict oligopoly.

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 Analysis of Nutmeg Market Structure in South Aceh District

2019 ◽  
Vol 6 (5) ◽  
pp. 950
Author(s):  
Fahrizal Fahrizal ◽  
Mustafa Mustafa ◽  
Romano Romano
Keyword(s):  
Qualitative Study ◽  
Market Structure ◽  
Market Share ◽  
Market Entry ◽  
Market Concentration ◽  
Entry Barriers ◽  
Oligopoly Markets ◽  
And Behavior

Market structure can affect performance and behavior in a market. This research aim to analyze the nutmeg market structure in South Aceh District. Indonesia. By looking at the level of competition, market concentration and barriers to market entry. The results of a qualitative study of nutmeg market structure are classified as oligopoly markets while quantitatively by looking at market share, market concentration and market entry barriers from the results obtained by the market are highly concentrated so it is very difficult to enter to the nutmeg market by new traders.

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 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>

Empirical evaluation of structure-conduct-performance paradigm as applied to the Iranian Islamic banking system

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mahdi Ghaemi Asl ◽  
Muhammad Mahdi Rashidi ◽  
Alireza Ghorbani
Keyword(s):  
Market Structure ◽  
Market Share ◽  
Balance Sheet ◽  
Empirical Evaluation ◽  
Banking System ◽  
Islamic Banking ◽  
Islamic Banks ◽  
Content Type ◽  
Simple Regression Model ◽  
The Impact

Purpose This paper aims to investigate the impact of market structure and market share on the performance of the Islamic banks operating in the Iranian banking system based on the structure-conduct-performance (SCP) paradigm. Design/methodology/approach The Iranian Islamic banking system’s market structure is evaluated by using the econometrics method to test the validity of the traditional SCP paradigm. For this purpose, the authors estimate a simple regression model that is consisted of several independent variables, such as the market share, bank size, real gross domestic product, liquidity and Herfindahl-Hirschman index as a proxy variable for concentration and one dependent variable, namely, the profit as a proxy for performance. The panel data includes a data sample of 22 Islamic banks operating from 2006 to 2019. Data are extracted from the balance sheet of Islamic banks and the time-series database of the Central Bank of Iran and World Bank. Findings The study’s findings indicate that both concentration and market share have a positive impact on the performance of banks in the Iranian Islamic banking system. This result is contradicted with both traditional SCP and efficient structure hypotheses; however, it confirms the existence of oligopoly or cartel in the Iranian Islamic banking system that few banks try to gain the highest share of profit and maintain their market share by colluding with each other. This result is in contradiction with other research studies about the market structure in the Iranian banking system that claimed that banks in Iran operate under monopolistic competition. In addition, it shows that the privatization of some banks in Iran does not improve and help competition in the Iranian banking system. Originality/value This paper is a pioneer empirical study analyzing the market structure, concentration and collusion based on the SCP paradigm in Iranian Islamic banking. The results of the study support the existence of collusive behavior among the Islamic bank in Iran that is not aligned with Sharia. This study clearly shows the difference between ideal Islamic banking and Islamic banking in practice in Islamic countries. This clearly indicates that only prohibiting some operations like receiving interest, gambling and bearing excessive risk is not enough. In fact, the Islamic banking system should be based on the Sharia rule in all aspects and much more modification and study have to be done to achieve an appropriate Islamic banking system. These possible modifications to overcome the issues of cartel-like market structure and collusive behavior in the Iranian Islamic banking system include making the Iranian banking system more transparent, letting foreign banks enter the Iranian banking system and minimizing the government intervention in the Iranian banking system.

Relation between serum and whole-blood ethanol concentrations

1993 ◽  
Vol 39 (11) ◽  
pp. 2288-2292 ◽  
Author(s):  
P M Rainey
Keyword(s):  
Whole Blood ◽  
Concentration Ratio ◽  
Blood Alcohol Concentration ◽  
Alcohol Concentration ◽  
Blood Alcohol ◽  
Legal Standards ◽  
Standards Of Evidence ◽  
Parametric Calculation ◽  
Concentration Ratios ◽  
Normally Distributed

Abstract An algorithm is suggested for interpretation of serum ethanol concentrations under legal statutes that specify whole-blood alcohol concentrations. The algorithm uses the distribution of individual serum:whole-blood alcohol concentration ratios to allow calculations at various levels of confidence that can be related to legal standards of evidence. Serum:whole-blood alcohol concentration ratios were determined for 211 patients. The ratios ranged from 0.88 to 1.59 (median 1.15). The distribution of ratios was positively skewed, but the logarithms of the ratios were normally distributed. This allowed the parametric calculation of a range of ratios of 0.90-1.49 for the central 99% of the population and a range of 0.95-1.40 for the central 95%. The serum:whole-blood alcohol concentration ratio was independent of both the serum alcohol concentration (R2 = 0.005) and the hematocrit (R2 = 0.03).

Sign in / Sign up

Export Citation Format

Share Document