The purpose of the study was to scrutinize patterns and levels of environmental accounting disclosure of listed companies in eight industries in the Stock Exchange of Thailand. The research applied documentary research methodology and descriptive statistics including percentage distribution and Correlation analysis using Chi – Square at Statistical significance at the 0.05 level. The results of the study showed that five among eight industries including agro- and food industry consumer goods industry industrial goods industry real estate and construction industry and resources industry disclosed their environmental accountings at level 2; specific but not quantitatively measurable. However each company paid the highest attention to the environmental management systems because of its prominent requirements. As for the other three industries which were finance industry service industry and technology industry disclosed their environmental accountings at level 0; no environmental accountings disclosure since they paid limited interest to the environmental accounting during 2009 and 2012. In terms of the relationship between the entrepreneur and the environmental accounting disclosure it was found that the entrepreneur’s five aspects such as the business operational period paid paid-up registered capital total assets total liabilities and total revenues were significantly related at the disclosed level of 0-3.

The objectives of the research were 1) to study the level of marketing mix factors marketing communication mix and mettle of mind factors towards consumer buying behaviors toward drinking yoghurt 2) to examine the level of drinking yoghurt buying behaviors of dwellers in Bangkok 3) to compare the demographic characteristics and drinking yoghurt buying behaviors of people living in Bangkok 4) to investigate the marketing mix that influenced Bangkok’s consumer behaviors in choosing drinking yoghurt 5) to study the marketing communication mix that affected consumer behaviors in purchasing drinking yoghurt of Bangkok residents and 6) to explore the mettle of mind factors which influenced consumer behaviors towards buying drinking yoghurt of people in Bangkok Metropolitan. A sample was identified by a number of 400 people who reside in Bangkok Metropolitan. The questionnaires were distributed to the selected respondents in order to collect data. The statistical methods used to analyze data were frequency percentage mean standard deviation t-test one-way analysis of variance and enter multiple regression analysis. 1. The results indicated the majority of female consumers accounting for 62.50 percent. The age range from 31 to 40 was responsible for 42.70 percent. The bachelor’s degree holders comprised 59.80 percent. The employees working in the private companies were found 61 percent. As much as 66 percent of the sample remained unmarried and 31.50 percent of the people earned an average monthly income from 15001 to 20000 baht. 2. The marketing mix factors the marketing communication mix and mettle of mind factors were prioritized in a high level. The consumer buying behaviors were in a high level. 3. The increase of marketing mix factors including product price and place resulted in a higher level of drinking yoghurt buying behavior. 4. The marketing communication mix including advertising public relations and sales promotion increased the level of drinking yoghurt buying behavior. 5. The mettle of mind factors particularly in the aspect of lifestyle and personality stimulated a higher level of drinking yoghurt buying behavior. 6. People with different age occupation average monthly income and marital status had different drinking yoghurt buying behaviors with statistical significance at level .05 while different gender and educational background showed no differences of the buying behaviors.

This study examined risk measurement of 3 ASEAN capital markets during year 2009 – 2013. The objective was to study and compare risk of 3 ASEAN capital markets before and after integration of 3 ASEAN member countries : Thailand Malaysia and Singapore. GARCH Model was used for estimating risk in order to measure the daily securities price index of 3 ASEAN member countries The study split the data into two time periods the first period before integration starting from December 1st 2009 to December 1st 2011 and the second period after integration starting from December 1st 2012 to December 1st 2013. The results show volatility which is transferred by the stock exchange and the other stock exchange. The internal and external factors caused the volatility. The level and direction of volatility was likely to depend on balance between listed companies structure and economic structure of those countries characteristic of the stock exchanges and the majority of the investors of those stock exchanges.

The aims of this research are to review environment of floating market management to analyze potential of sustainable management and to develop strategies for developing sustainable management of Wat Takien Floating Market. Data were gathered by observations interviews focus groups and questionnaires and analyzed with Descriptive Analysis for Means Standard Deviations Factor Analysis and Canonical Correlation Analysis. Results were as follows: 1) Bangkuvieng canal on the eastern side of the market still has a nice natural view. The community cooperated well with each other. The market is organized by the temple committee which was found not to be well arranged at some point. 2) Factors that affect the potential of sustainable management of Wat Takien Floating Market include currect economic condition community local houses along the canal side Bangkuvieng canal geography policy and participation in management temple architecture inland walkway live Thai classical music band food and price of local product. 3) Strategies for developing sustainable management of Wat Takien Floating Market consisted of strategy for developing the floating market along with Buddhist traditions strategy for setting reasonable prices for local goods and strategy for organizing boat trip activity.

The objective of this research is to use a stochastic process for building a model using Bayesian parameter estimation. The model is applied to the of crash prices and future prices of rice in Thailand for 120 moths including monthly closing average price of white rice 5% non-glutinous paddy 15% and Hom Mali non-glutinous paddy 105. The data are time series data containing autocorrelation trend seasonality and outliers. The algorithms are turned into codes in OpenBugs and the performance of the model is evaluated using simulation in R. The model with a Weibull cumulative distribution function trend the model with an exponential cumulative distribution function trend and the exponential smoothing model are compared. The root mean squared error (RMSE) mean absolute percentage error (MAPE) and mean absolute error (MAE) are used as the criteria. The results show that the model with the model with an exponential cumulative distribution function trend gives smallest RMSE MAPE and MAE for the crash prices of non-glutinous paddy 15% and Hom Mali non-glutinous paddy 105 for both model fitting part and model validation part. The model with a Weibull cumulative distribution function trend gives the smallest RMSE MAPE and MAE for the closing average price of white rice 5% for both model fitting part and model validation part.