The research on the factors influencing the creation of competitiveness for exporting Halal food using Thailand - ASEAN logistics route was aimed (1) to study the factors that influenced the ability to compete for exporting Halal food using Thailand - ASEAN logistics route including economic environment resources and operational capabilities financial administration legal administration and logistics and (2) to examine the consistency of the causal model with the empirical data. The variables used in this study were the independent variables including the economic organization organization resources financial administration legal administration and logistics. The independent variable was the ability to compete for exporting Halal food using Thailand - ASEAN logistics route. The researchers used a mixed method of qualitative and quantitative study. Questionnaires were used to collect empirical data from 445 exporter samples. The statistical methods used to analyze data were the frequency percentage mean standard deviation and the analysis on the structural equation model. The results revealed that the model was well consistent with the empirical data. The Chi – Square (2) value was 417.295 at the degrees of freedom (df) of 569 with the probability (p-value) equal to 1.000. The chi - square relative (2/df) was 1.368 with the index of harmony (GFI) equal to the probability p-value equal to 0.960. The modified harmony index measuring (AGFI) was equal to 0.930 and the index error in estimation parameters (RMSEA) was equal to 0.015. Moreover it was found that the variables were economic organization organization resources financial administration legal administration logistics and Halal food quality had positive effect on the ability to compete for exporting Halal food using Thailand - ASEAN logistics route. The research results suggested the entrepreneurs focus on environmental variables economic organization organization resources financial administration legal administration logistics and Halal food quality which could lead to advantageous for the competition exporting Halal food using Thailand - ASEAN logistics route.

The forecasting method is important because it can predict phenomena in the future. The accuracy of the forecast depends on the model and the initial conditions. In addition the predictability measurement method is important can be check the accurate of forecasts. In this research is winter monsoon forecasts in Thailand by the shallow water model. The data from The Bjerknes Centre for Climate Research (BCCR) University of Bergen Norway. The global climate model is Bergen Climate Model (BCM) Version 2.0 (BCCR-BCM2.0) of the Intergovernmental Panel on Climate Change (IPCC) is used. The Lyapunov exponent (LE) is the predictability measurement method for verify the efficiency of model and establish the new predictability measurement method by the time series analysis. The result to show that the new predictability measurement method by the time series analysis can be measure the efficiency of the winter monsoon forecasts in Thailand by the shallow water model for December 2015 to December 2056 are suitable.

The research on the process of supply chain management standard goods distribution and marketing of the meat processing industry in Thailand to support the ASEAN Economic Community was aimed (1) the process of supply chain management standards goods distribution and marketing of the meat processing industry in Thailand to support the ASEAN Economic Community and (2) to determine the consistency of a causal model that influenced the process of supply chain management standards goods distribution and marketing of the meat processing industry in Thailand to support the ASEAN Economic Community with the empirical data. The variables used in this study were the independent variables including the availability and the readiness of the entrepreneurs. The mediator variables were the raw material transportation management and safety standard. The dependent variable was the supply chain management standard goods distribution and marketing of the meat processing industry in Thailand to support the ASEAN Economic Community. The researchers used a mixed method of qualitative and quantitative study. Questionnaires were used to collect empirical data from 350 entrepreneurs of the meat processing industry in Thailand. The statistical methods used to analyze data were the frequency percentage mean standard deviation and the analysis on the structural equation model and qualitative research methodology. The results revealed that the model was well consistent with the empirical data. The Chi – Square (2) value was 288.294 at the degrees of freedom (df) of 256 with the probability p-value equal to 0.081. The chi - square relative (2/df) was 1.127 with index of harmony (GFI) equal to 0.975 AGFI = 0.951 RMSEA = 0.017 The results showed that (1) the availability of resources had a positive influence on the transportation of raw materials (2) the availability of resources had a positive influence on safety standards (3) the entrepreneur readiness had a positive influence on the transportation of raw materials (4) the entrepreneur readiness had a positive influence on safety standards (5) the transportation of raw materials had a positive influence on safety standards (6) the transportation of raw materials had a positive influence on the supply chain management distribution and marketing and (7) safety standards had a positive influence on the supply chain management distribution and marketing of halal meat processing industry in Thailand to support the ASEAN Economic Community. The findings suggested that the meat processing industry should focus on the supply chain management distribution and marketing by promoting personnel deeper understanding to develop halal food. The government should also support the halal food industry as well

The purpose of the study on the association between factors affecting environmental information disclosure quality of listed companies in the Stock Exchange of Thailand was to investigate factors which posed impacts on the listed companies in Thailand Stock Exchange using the information from 2007 to 2011. The data applied Multiple Regression Analysis to test the relationship between the dependent variable environmental information disclosure quality and independent variable which included the ability to compete the ability to make profits business liquidity operation period business industry and business size as control variables. The result showed that the ability to compete was significantly related to the quality of the environmental information disclosure. This means that the higher competition the more environmental information disclosure. Regarding the other variables such as the ability to make profits business liquidity and operation period did significantly not relate to the environmental information disclosure quality. Moreover business size had significant positive association with the quality of the environmental information disclosure which means that bigger businesses are more capable to reveal their environmental information than the smaller ones. The information disclosure qualities in terms of resources legalization and sustainability were reported more highly than others. However the companies producing industrial products disclosed their companies’ policies more while service industries revealed more about their accounting and financial information which related to the environment.