패널모형을 적용한 대기오염과 국내 여행수요 간의 인과관계 분석

• 영문명: The Effects of Air Pollution on Domestic Travel Demand: Panel Data Analysis for Fine and Ultrafine Particulate Matter
• 발행기관: 관광경영학회
• 저자명: 오희균 윤성준 이희찬
• 간행물 정보: 『관광경영연구』제23권 제7호, 641~658쪽, 전체 18쪽
• 주제분류: 사회과학 > 관광학
• 파일형태: PDF
• 발행일자: 2019.12.31

영문 초록

This study conducted panel data analyses using time series data from 20 months (May 2016 to December 2017) of 17 metropolitan cities to investigate the negative effects of air pollution on domestic travel demand. In this study, a travel demand model with air pollution factors such as fine particulate matter (PM10), ultrafine particulate matter (PM2.5), and ozone (O3), including climate factors (precipitation, temperature) and demographic variables (income, age), was established. The diagnosis was finally interpreted as an estimate of the fixed effect model with first-order autoregressive disturbances. According to the main results, when the index of ultrafine dust is changed from the 'good' level to the 'normal' level, domestic travel demand is reduced by 27.9%, and when worsened to the 'bad' level, demand decrease of 9.5% is added. In addition, the change from the 'good' level to the 'normal' level caused by fine dust and ozone pollution showed 14.8% and 8.2% reduction in travel demand, respectively. The point is that the regional characteristics should be taken into account when establishing tourism policies to cope with ultrafine dust.

목차

Ⅰ. 서 론

Ⅱ. 이론적 배경

Ⅲ. 연구방법

Ⅳ. 분석결과

Ⅴ. 결 론

참고문헌

키워드

Air Pollution Fine Particulate Matter Panel Data Model Travel Demand