This study investigated the difference of the effects of public loan programs in fishery industry on management performance from a balanced score card (BSC) perspective depending on the type of loan, scale of fund, period of support and business category, using the financial data of fisheries firms having the balance of loan at the end of 2014. The key factors influencing credit rating change were also analyzed after public loan support. From a integrative perspective, results show that the firms supported by working fund have higher management performance than the firms supported by facility fund. The firms received large scale fund showed higher management performance than the firms received small scale fund. While management performance was decreasing or slowing down over time after financial support, management performance of the firms supported by facility fund improved over time. From a non-financial perspective, the firms received facility fund invested more in education and growing perspective than the firms received working fund. As the size of fund increased, the investment in education, growing, internal process and customer increased. Personnel expenses and employee benefits for education and growing has increased over time. However, the firms with facility fund restricted the expenses of education, personnel expenses and employee benefits as time goes by. Because the effects of public loan on credit rating of fisheries corporations have no statistical significance, it has become known that the financial support of public loan program has no influence on the change of credit rating of fisheries corporations. This study attempted performance analysis from a BSC perspective which combine factors of nonfinancial perspective with factors of financial perspective. Findings from this study suggest the direction of microscopic performance analysis of public loan in fishery industry.

This research investigates the credit management guidelines to strengthen Thai industrial sector. The research has been simulated from the findings of both qualitative and quantitative of 500 questionnaires distributed to industrial business executives in Thailand. The data were analyzed by descriptive analysis categorized into SME and large enterprises, and SEM to conduct the model in consistent with the empirical data. The results show that: (1) the credit management guidelines consist of 4 factors: a) characteristics management b) financial management c) operations management and d) assets management. The business executives gave overall importance on the guidelines at a high level with an average of 3.86. (2) The development of SEM shows that the model fits with the empirical data at Chi-Square probability level = 0.084, CMIN/DF = 1.164, GFI = 0.965 and RMSEA = 0.018. (3) The characteristics management directly influences the financial management and the operation management. The financial management directly influences on the assets management. The assets management has direct influence on the operations management. The findings show that the characteristics management is the essential starting component in SEM and the financial management factor has the most influence in the assets management variable with standard regression weight of 0.990.

The purpose of this study is to analyse whether the capability assesment index to perform services as well as creditratings for the governmental procurement bidding influence earnings management behaviour using discretionary accrualsand real earnings management in the construction waste disposal industry. For this study, out of the 530 population(interimdisposal service companies for construction waste) across the country, the final sample of 144 companies is selected foran analysis period of six years, starting from 2008 to 2013. The modified Jones model (1995) is used to measure earningsmanagement and the Kothari et al. model (2005) reflecting return on total assets (ROA) is also applied to produce thediscretionary accruals. In addition, earnings management through real activities is measured by the model developed byRoychowdhury (2006) and the method developed by Cohen et al. (2008) is adopted to calculate the measurement ofintegration of real earnings management. Overall, our empirical results of the analysis show that the capability assessmentindex to perform services as well as credit ratings significantly influence earnings management behaviour in theconstruction waste disposal industry. First, the managers of companies having higher assessment index report increasedprofits through adjusting both discretionary accruals and real earings management. Second, the managers of speculativeenterprises which rank lower credit ratings use higher income-increasing discretionary accruals. These research findingsimply that the regulatory authorities should properly consider the earnings management behavior of the construction wastedisposal service industry in setting the qualification standards for the governmental procurement bidding. The usefulnessof this study results can be highlighted by alerting the industry managers that improper earnings management practicesnot only decrease the successful bidding chances of the companies involved but also deteriorate long-term firm valuesin the market.