This empirical study investigates the causality between agriculture and economic growth in Thailand over the period of 1961 to 2009. A Granger causality approach and the Wald (χ 2 ) coefficient statistic are utilized to reveal a long-run causal relationship and impact transmission between the variables. Based on the time series analyses, a long-run relationship and size impact are detected running from agriculture to economic growth, and vice versa. These findings including with the generalized variance decomposition show that agriculture is existed in a long-term stable in economic growth while economic development encourages the growth of agriculture as a whole. As a conclusion, policy-makers should regard agriculture as an important supporter of Thai economy.

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Thailand is the largest durian producer and exporter in the world market. In addition, durian is the most important fruit crop in Thailand because it can generate a higher income from exports with a value of approximately 45,349-million-baht, equivalent to an export quantity of 653,564 tons in 2019. The objective is to analyze the factors affecting the durian production of farmers in the eastern region of Thailand, namely Chanthaburi, Rayong, and Trad Provinces. The sample of 395 durian farmers underwent observation using simple random sampling via the questionnaire approach. The statistics consisted of mean, percentage, and multiple regression. The findings revealed that the positive factors affecting the durian production of farmers in the eastern region of Thailand are the experience of the farmers in growing durian, the size of the workforce, the planted area of durian, the number of durian trees, and the number of durian trees per planted area, while the negative factors affecting the durian production of farmers in the eastern region of Thailand are the age of the farmers and the cultivation of organic durian. The results will be beneficial to farmers, government, and related stakeholders, who can further apply these findings to enhance the efficiency of durian production to be the quality durian for domestic and foreign consumers

The purpose of this study is to forecast the import demand of table grapes of Thailand using monthly time series from January 2007 to April 2020. The ADF unit root test is used for stationarity checking, and seasonal autoregressive integrated moving average (SARIMA) is applied to forecast the import demand of table grapes. The results revealed that the integration of time series was in the first difference for non-seasonal and seasonal order. The best-fitted forecasting model was SARIMA(1,1,3)(2,1,0)12. The forecasted period for the next eight months showed the import demand of table grapes of Thailand that is slightly decreased by an average of 11.398 percent, with overall expected to decrease by an average of 15.218 percent in 2020.

The establishment of the ASEAN Economic Community (AEC) is a major milestone for Southeast Asia. This establishment offers enormous opportunities, in terms of regional labour markets and economic integration of a market with a large value of about US$2.6 trillion and over 622 million people. This research aims to study the characteristics of the "smart farmers" in the upper northern provinces of Thailand and to analyse their perceptions towards the AEC. The study's primary data were randomly collected from 400 questionnaires given out in nine provinces. The main research method was the logit model with maximum-likelihood estimation (MLE) that was theoretically applied. The results revealed that most responders were male (89%), 51-60 years old (62%), with a Grade 4 elementary school level (58%). The percentage of the sample who owned less than ten rai (approximately 40 acres) and earned 100,001-250,000 Thai baht as income per year was 46% and 30%, respectively. The study found that the factors of their participation in seminars about agriculture and their knowledge enquiry had influenced their perceptions and awareness of the AEC (with a 95% reliability score). Furthermore, their follow-up of marketing news was positively related to the potential of their perceptions and awareness of the AEC (with a 99% reliability score). The forecasting accuracy formula was more accurate than 88%. This research suggested that knowledge about the AEC should be distributed, especially to the agricultural village leaders and farmers, through the media of wire broadcasting and knowledge-sharing meetings in each village. Moreover, development of innovations to help enhance their knowledge about the AEC should be increased.

This study estimates the impact of climate change on the economic growth of the agricultural sector and its variability using a panel dataset from 1995 to 2019 for 76 provinces in Thailand. The panel data analysis consists of unit root tests for identifying stationary characteristics, autoregressive distributed lag (ARDL) bounds for analyzing cointegration, and pool mean group (PMG) estimation for detecting long-run and short-run effects. The cointegration results indicate the existence of long-run equilibrium in the agricultural economy and its variability to climatic and non-climatic variables. Results from the PMG estimation suggest that extreme weather events have a negative impact on the agricultural economy, but increased total rainfall has a positive association with the agricultural economy. The increases in mean average and mean minimum temperatures will reduce the variability of agricultural growth. The obtained results suggest that the productivity of agricultural households and water resources increases the agricultural revenue and reduces its variability for long-term development in the agricultural sector of Thailand.

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