ผลกระทบของดัชนีคุณภาพอากาศต่ออุตสาหกรรมท่องเที่ยว ในจังหวัดเชียงใหม่

Abstract

This independent study aimed to Impact of Air Quality Index on Tourism Industry in Chiang Mai Province. The data were collected from Monthly Air Quality Index report and Monthly Number of Guest Arrivals in Chiang Mai Province from year 2013 to 2019, total 7 years (84 months). The data analysis techniques were descriptive statistic and Inferential Statistics Analysis by Times Series Econometrics. The Number of Guest Arrivals in Chiang Mai represents Tourism Industry in Chiang Mai Province, with the following independent variables affecting output: Air Quality Index PM2.5, Air Quality Index PM10, Average temperature, Rainfall and Radiation period/day. And, with the following controlled variables affecting output: Government policy, World gross domestic product: GDP and Arrival Aircraft Movement. Upon employing the Dickey-Fuller Test (ADF) to test the stationarity of the variables, it was found that there were one I(0) variables: Rainfall, allvariable I(1). The result of long-run equilibrium relationship test by means of Engle and Granger was such that Average temperature and Rainfall have an opposite direction to Tourism Industry in Chiang Mai Province, Radiation period/day and Arrival Aircraft Movement have positive direction to Tourism Industry in Chiang Mai Province were all related in the long run. The Cointegration and ECM test results showed that Air Quality Index didnot correlate in the long-run.