scholarly journals Analisis Faktor Penghambat Kesehatan Koperasi Produsen Aneka Sulaman di Kabupaten Agam

Jurnal Ecogen ◽  
2020 ◽  
Vol 3 (2) ◽  
pp. 271
Author(s):  
Menik Kurnia Siwi ◽  
Tri Kurniawati ◽  
Jean Elikal Marna

This activity aims to describe the inhibiting factors of the health of Aneka Sulam Producer's Cooperative in Agam Regency. Cooperative health level based on seven aspects such as capital, productive asset quality, management, efficiency, liquidity, independence and growth, identity of the cooperative, and analyzing the factors that influence it. The results of the activities showed that the factors that hampered the health of cooperatives included internal disputes that were expected to cause difficulties in the development of the cooperatives concerned, the wrong of bookkeeping or window dressing so that the impact on the assessment became erroneous and the cooperatives carried out savings and loan business activities but were not recorded correctly. For this reason, it is necessary to have better cooperative management in the future.Keywords : cooperative health, capital, management, liquidity, identity of the cooperative

Agro Ekonomi ◽  
2017 ◽  
Vol 26 (1) ◽  
pp. 41
Author(s):  
Khottul Azizah ◽  
Suhatmi Hardyastuti ◽  
Any Suryantini

Performance assessment is important to be known as a tool of data analysis, accountability and decision making. Performance assessment is done to observe bothfinancial aspect and non-jinancial aspect by using Balanced Scorecard method. Balanced Scorecard become the base of Peraturan Menteri Negara Koperasi dan Usaha Kecil Menengah Republik Indonesia Nomor 14/Per/M.KU/KM/XII/2009 about a tool of health assessment for Savings andLoans Cooperative. The aspects that are being analyzed are capital, productive asset quality, management, efficiency, liquidity, independence of growth, and cooperative identity .. This study aims to find out the financial & non-financialperformance of KSP "Tani Makmur" Bantul Regency period 2009-2013. The kind of research is descriptive. The results showed that (1) From seven aspects assessed, aspect capital and liquidity aspect showing the worse conditionthan other aspect. (2) Aspect eficiency showing the best result (3) the helath level of KSP Tani Makmur in 2009-2013 is "Healthy Enough". Based on the result of this study, it s excpected that KSP "Tani Makmur" can improve theirfinancial and non financial performance.


2021 ◽  
Vol 17 (2) ◽  
pp. 3-11
Author(s):  
Senan Amer

In this study, the factors affecting the performance of Jordanian commercial banks have been analyzed using the elements of the CAMELS model, along with identifying the most important factors. The study targeted the impact of twenty Jordanian commercial banks on performance-; these banks were listed on the Amman Stock Exchange during the period of 2014-2019. The researcher used the Data Pooled Regression Method, due to its relevance to the nature of the data used in the study, where this method is used in the case of a time series and cross-sectorial data. The Rate of Return on Assets and the Rate of Return on Equity were used as the two variables on which the banks’ performance was measured. However, the independent variables included the CAMELS model elements which are capital adequacy, asset quality, management efficiency, earnings, liquidity, and sensitivity to market risks, in addition to macroeconomic variables, which include the rate of economic growth and the rate of inflation. The study concluded that capital adequacy, asset quality, management efficiency, and earnings are among the most important and most influential factors with regards to the Jordanian commercial banks, which - are is represented by the Rate of Return on Assets and the Rate of Return on Equity. Moreover, the study also concluded that it is possible to derive a miniature model from the CAMELS model called the CAME model, which has a great ability to explain and measure the performance of commercial banks in Jordan. Finally, the study recommended the Central Bank of Jordan to use the CAMELS model to evaluate Jordanian commercial banks.


2018 ◽  
Vol 10 (12) ◽  
pp. 135
Author(s):  
Sathyamoorthi C. R. ◽  
Christian J. Mbekomize ◽  
Mogotsinyana Mapharing ◽  
Popo Selinkie

The paper presents the findings of the analysis of the impact of corporate governance mechanisms on working capital management efficiency in the listed companies of the Consumer service sector in Botswana. Eight corporate governance elements and seven working capital components were extracted from the annual reports of a sample of six companies for the period 2012 to 2017 for the analysis. Thirty six observations were obtained. Pearson correlations were executed to determine the relationship between corporate governance elements and working capital components. OLS regression analysis was performed to establish the explaining power of the combination of corporate governance elements on each of the working capital components. The correlation analysis shows that number of non-executive directors has a significant negative but moderate relationship with cash conversion cycle and number of board subcommittees has significant positive but moderate relationship with Debt ratio. The regression results suggest that corporate governance mechanisms have a significant impact on working capital management, the highest impact being reflected on inventory conversion period. The implications of these findings are that boards of directors have a significant role to play in working capital management efficiency of the companies they govern. They should therefore continue providing attainable policies on working capital management and remain vigilant on demanding feedback on their implementations.


2016 ◽  
Vol 13 (3) ◽  
pp. 100-109 ◽  
Author(s):  
Amarjit Gill ◽  
Nahum Biger ◽  
Rajen Tibrewala ◽  
Pradeep Prabhakar

The purpose of this study is to examine the impact of merger on the efficiency of working capital management of American production firms. This study applied a co-relational research design. A sample of 497 listed American production firms for a period of 4 years (from 2010-2014) was analyzed. The findings of this study indicate that mergers may contribute to an improvement of the efficiency of working capital management. This is a co-relational study that investigated the association between merger and working capital management efficiency. There is not necessarily a causal relationship between the two, although the paper provides some conjectures to such relationship. The findings of this study may only be generalized to firms similar to those that were included in this research. This study contributes to the literature on the factors that improve the efficiency of working capital management, and in particular on the association between merger and the efficiency of working capital management. The findings may be useful for financial managers, investors, financial management consultants, and other stakeholders.


The study is to examine the financial performance of banks listed in MSM, Omanthrough CAMEL model approach. The variables are computedusing financial ratios and compare them with established standards related to the Camel's standard to find out how important it is to implement a standard in the bank and ANOVA is calculated to determine whether results are meaningful. In other words, they help to determine whether you should reject the null hypothesis or accept the alternative hypothesis.The present research study uses descriptive analysis to achieve objectives of the study.The study's aim is to find out how CAMEL components affect the financial performance of MSM-listed banks. The findings support the impact of the CAMEL parameters on commercial bank results. Capital adequacy, asset quality, management efficiency, and liquidity are considered independent variables in the CAMEL model, whereas financial output is considered a dependent variable. All banks should follow and implanting perfect strategy in how used efficiency and effectively asset to generate profit. Moreover, monitoring credit risk of banks and control it.


2019 ◽  
Vol 17 (3) ◽  
pp. 362-369
Author(s):  
Grzegorz Zimon

Inventory management costs are often high and it is necessary to introduce appropriate methods that cause their optimization. For this purpose, various types of methods supporting logistic processes are introduced. Joint activities within group purchasing organizations are also popular. Companies gain a possibility to reduce costs, in addition, when enterprises introduce appropriate quality management systems, the process of cost optimization and an improvement of inventory management efficiency should be even more visible. The purpose of this article is to analyze the impact of standardized quality management systems on inventory management. The research was conducted on a group of 68 enterprises operating in commercial group purchasing organizations. The enterprises were divided into two groups: into the companies using quality management systems and into those that do not use such systems. The analysis showed that the most frequently standardized quality management systems were used by large enterprises and the results of inventory management efficiency were at a similar level as compared to small units that do not apply quality management systems. The analysis based on selected financial indicators allows concluding that the introduction of quality management systems improves the efficiency of inventory management. The introduction of such systems allowed large enterprises to organize their warehouse management and reduce stocking reserves, which positively influenced the costs of managing them. The research period covers the years 2015–2017.


2014 ◽  
Vol 30 (4) ◽  
pp. 1183 ◽  
Author(s):  
Christopher Ifeacho ◽  
Harold Ngalawa

This study investigates the impact of bank-specific variables and selected macroeconomic variables on the South African banking sector for the period 1994-2011 using the capital adequacy, asset quality, management, earnings, and liquidity (CAMEL) model of bank performance evaluation. The study employs data in annual frequency from South Africas four largest banks, namely, ABSA, First National Bank, Nedbank, and Standard Bank. These banks account for over 70% of South Africas banking assets. Using return on assets (ROA) and return on equity (ROE) as measures of bank performance, the study finds that all bank-specific variables are statistically significant determinants of bank performance. Specifically, the study shows that asset quality, management quality, and liquidity have a positive effect on both measures of bank performance, which is consistent with a priori theoretical expectations. Capital adequacy, however, exhibits a surprising significant negative relationship with ROA, while its relationship with ROE is significant and positive as expected. Except for interest rates (in the ROA model), unemployment rate (in the ROA model), and the rate of inflation (in the ROE model), the rest of the macroeconomic variables are statistically insignificant. The study reveals that bank performance is positively related to interest rates and negatively related to unemployment rates and interest rates.


2021 ◽  
Vol 17 (1) ◽  
pp. 56-75
Author(s):  
Hesti Budiwati

Managing the bank risk well are very needed so that the bank can operate smoothly. One of the important bank risk to managed well is bank asset quality risk. The banks are required to be careful and wiser in manage these asset quality risk. The object of this study is to obtain evidence of the effect of productive asset quality management on bank profit. The empirical studies conducted on rural banks in Indonesia. As the independent variable is productive asset quality consist of classified productive asset, productive asset quality and non-performing loan, while as the dependent variable is bank profit measured by return on asset. Return on asset of 89,6% explained by classified productive asset, productive asset quality and non-performing loan. While the rest return on asset of 10,4% effect by other variables that not examined in this study. Keywords: Classified Productive Asset, Productive Asset Quality, Non-performing Loan, Return on Asset.


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