RATIONALE BEHIND AND DILEMMAS OVER CONSOLIDATION AND COOPERATION OF COOPERATIVE BANKS IN POLAND

The study analyses the processes of consolidation of cooperative banks in Poland in 2010-2020 and the cooperation of banks within operating cooperative banking associations. The essence of the processes of consolidation and cooperation of cooperative banks was determined and their premises, scale and effects to date were presented. The main focus was on the analysis of factors determining the need for the further transformation of the cooperative banking sector in Poland and the role that may be played by bank consolidation and various forms of cooperation of cooperative banks in this process. It has been shown that the consolidation of banks, consisting of taking over economically weak banks by larger cooperative banks, better performing on the market, is necessary, but it is not a solution leading to the development of the sector. Such a solution may be the tightening of cooperation between banks within associations, leading to the gradual integration of selected areas of banking activity while maintaining the autonomy of local banks in relations (at the contact) with customers.

ANALISIS TINGKAT KESEHATAN DAN EFISIENSI PERBANKAN TERHADAP PROFITABILITAS BANK MENGGUNAKAN REGRESI BERGANDA DAN ANOVA

In this digital era, the competitiveness of small banks has decreased, and many bank consolidation phenomena have occurred. This study aims to examine the effect of bank soundness and efficiency on profitability in the face of competition and the current bank consolidation or merger phenomenon. Determination of variables refers to Bank Indonesia standards in measuring bank performance using the RGEC method approach consisting of the ratio of LDR, NIM, BOPO, NPL, CAR, and prime lending rate (SBDK), while bank profitability is represented by ROA. The research object is the bank category BUKU 1 - 4 which is supervised by OJK and listed as issuers on the Indonesia Stock Exchange during 2014 - 2017. The sampling technique used is purposive sampling so that from 102 banks 34 banks were obtained which were used as research objects. The data analysis technique used is multiple regression analysis and Anova comparison test. Based on the results of data testing, it is known that simultaneously and partially the ratios of LDR, NIM, BOPO, NPL, CAR, and SBDK have an effect on ROA. In comparison to the average BOPO, prime lending rate, and ROA variables, there are significant differences with bank categorization BUKU 1-4.