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.

This research aim to study disclosure of accounting comply with TFRS were collected from Factors affecting disclosure of accounting comply with TFRS : Case Study the listed Companies in the Energy and Utilities Section in stock exchange of Thailand. The data 24 companies by using annual Financial Statement and Notes to Financial Statements. From 2009-2013 fiscal year. Statistical tools use for analyzing is multiple regression analysis at 0.001 and 0.05 significant level. The results Found that company size capital structure and year of changing to Financial Reporting Standards. Correlated with the level of disclosure at the 0.01 significant level. Furthermore The size of the audit firm correlated with the level of disclosure at the 0.05 significant level. The results suggested that the Changes from accounting standards to financial reporting required to disclose more information.

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.

This study examines Thailands domestic and export market situation with regard to rubber smoked sheet no.3 (RSS3). Time series analysis is used to estimate trends in order to forecast the export of RSS3 during January 2557 – December 2561 using monthly data from 2542 – 2556. The results show that export volume of RSS3 is likely to increase every year in the same month. The volume of exports in December in every year is the most abundant. However as the volume of product increases every year the rubber price keeps falling. As a result farmers and entrepreneurs would benefit from government expansion of the market by the establishment of a domestic industry as an alternative support for output rather than sole reliance on export.

Podostemaceae a family of aquatic flowering plant restricted to river rapids and waterfalls are widely reported to be the high incidence of endemism and in need for conservation. The present study analyses endemism and conservation status of the Podostemaceae in northeastern floristic region Thailand using past and current taxonomic records personal field collections geographic ranges IUCN assessment and a combination of river number in which a species occurs. The plants grown in one river and two rivers are considered as narrow endemic species. Among the six genera and 22 species recognized two genera are endemic eighteen species are endemic to Thailand eleven species of the 18 are narrowly distributed and confined in northeastern floristic region and the other 4 species are not endemic. Considering the conservation status two species are classified as Critically Endangered distributed in a single river ten species as Vulnerable distributed in 1-2 rivers six species as Near Threatened two species as Least Concern and two species as Data Deficient. Loei province is the most species-rich area in Thailand with 12 species five of them are restricted in Loei.