Data from a survey of coffee cultivation in lowland and highland areas to support agriculture during climate change.

This survey aimed to acquire and generate significant information on coffee cultivation in high and low elevations to support agriculture during climate change. This survey dataset helps understand coffee cultivation in highland and lowland areas with diverse climates and environmental conditions for coffee researchers to use this data to improve cultivation and production techniques. In the business scope, this dataset provides a critical vision on the value proposition of the coffee business to maintain conservation and wealth creation of the coffee chain.

The Impact of Gastronomic Tourism on Thailand Economy: Under the Situation of COVID-19 Pandemic.

With the COVID-19 pandemic's complexity and inexorable devastation, this research article attempts to forecast Thailand's economic move forward through gastronomic tourism promotion. The dynamic input-output (I-O) model was the primary method for classifying gastronomic activities in tourism I-O data, which was investigated sector by sector. The Ministry of Tourism and Sports in Bangkok, Thailand, officially gathered the 2017 I-O table.