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빅데이터를 활용한 보령머드배 배드민턴대회의 경제적 효과 분석 (An Economic Impact Analysis of the Boryeong Mud Cup Badminton Event Using Big Data)

12 페이지
기타파일
최초등록일 2025.05.08 최종저작일 2023.08
12P 미리보기
빅데이터를 활용한 보령머드배 배드민턴대회의 경제적 효과 분석
  • 미리보기

    서지정보

    · 발행기관 : 한국체육정책학회
    · 수록지 정보 : 한국체육정책학회지 / 21권 / 3호 / 79 ~ 90페이지
    · 저자명 : 김자영, 김주영, 김민수

    초록

    The purpose of this study was to assess the economic impact of the Boryeong Mud Cup Badminton event using big data of credit card usage. To measure an economic impact of the event, input-output analysis was used because of it was widely used and good to measure the economic impact for small sport events. Credit card big data were utilized to measure participants and spectators’ expenditure during the event instead of using a survey method. S card was selected to collect data because of a number of members and the market share of S card in Korea. Data were collected by setting the area around the national basic area including the event venues such as Boryeong Gymnasium, Daecheon High School Gymnasium, and Daecheon Middle School Gymnasium for each event days in 2016, 2017, and 2018. A total of 212,758 card spending cases were collected for the analysis. In order to assess the total induced production, the total induced added value, and the total induced employment from the Boryeong Mud Cup Badminton event, the national input-output table in 2015 published by the Bank of Korea was used. A total of the card use amount were 67.72 billion won in 2016, 69.0 billion won in 2017, and 70.42 billion won in 2018. The amount of card use increased by 1.28 billion won in 2017 compared to the previous year, and in 2018 it increased by 1.42 billion won compared to the previous year. Based on these spending, the economic impact of the event was calculated. The total induced production effect for the Boryeong Mud Cup Badminton event was about 5.79 billion won in 2016, 7.25 billion won in 2017, and 7.38 billion won in 2018. The total induced value added effect for the event was about 2.52 billion won in 2016, 3.14 billion won in 2017, and 3.23 billion won in 2018. The induced employment effect was 33.3 persons in 2016, 41.8 persons in 2017, and 43.0 persons in 2018.

    영어초록

    The purpose of this study was to assess the economic impact of the Boryeong Mud Cup Badminton event using big data of credit card usage. To measure an economic impact of the event, input-output analysis was used because of it was widely used and good to measure the economic impact for small sport events. Credit card big data were utilized to measure participants and spectators’ expenditure during the event instead of using a survey method. S card was selected to collect data because of a number of members and the market share of S card in Korea. Data were collected by setting the area around the national basic area including the event venues such as Boryeong Gymnasium, Daecheon High School Gymnasium, and Daecheon Middle School Gymnasium for each event days in 2016, 2017, and 2018. A total of 212,758 card spending cases were collected for the analysis. In order to assess the total induced production, the total induced added value, and the total induced employment from the Boryeong Mud Cup Badminton event, the national input-output table in 2015 published by the Bank of Korea was used. A total of the card use amount were 67.72 billion won in 2016, 69.0 billion won in 2017, and 70.42 billion won in 2018. The amount of card use increased by 1.28 billion won in 2017 compared to the previous year, and in 2018 it increased by 1.42 billion won compared to the previous year. Based on these spending, the economic impact of the event was calculated. The total induced production effect for the Boryeong Mud Cup Badminton event was about 5.79 billion won in 2016, 7.25 billion won in 2017, and 7.38 billion won in 2018. The total induced value added effect for the event was about 2.52 billion won in 2016, 3.14 billion won in 2017, and 3.23 billion won in 2018. The induced employment effect was 33.3 persons in 2016, 41.8 persons in 2017, and 43.0 persons in 2018.

    참고자료

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