국제개발에서의 새마을운동 경험공유 참여요인에 관한 연구

• 영문명: A Study on Participation Factors and Expansion Plans for Sharing the Saemaul Undong Experience in International Development: Baby Boomers Employed by Public Organizations and Agencies in the Daegu and Gyeongbuk Area
• 발행기관: 한국비교정부학회
• 저자명: 황승일(Seung-Il Hwang) 최외출(Oe-Chool Choi) 이희욱(Huiuk Yi)
• 간행물 정보: 『한국비교정부학보』제20권 제2호, 101~126쪽, 전체 26쪽
• 주제분류: 사회과학 > 행정학
• 파일형태: PDF
• 발행일자: 2016.06.30

영문 초록

The purpose of this study is to identify factors that encourage civic servants born in the post-WWII era to participate in the international diffusion of the Saemaul Undong. Establishing a new school of thought based on the Saemaul model has potential applications beyond basic development projects and thus calls for further study of the impact that baby boomers played in the Saemaul international development. Of the 7.12 million Korean baby boomers, this study focused on civic servants working in Gyeongsangbuk-do and Daegu Metropolitan City, the birthplace of Saemaul Undong. Binomial logistical analysis suggests that the following, in order of important, are the primary factors that affect one’s willingness to participate in the Saemaul ODA project: motivation towards societal contribution, personal limitations, income level, attitude towards Saemaul Undong, challenges involved in adjusting to a new environment, and financial liberty. In particular, one’s personal desire for social change is shown to have the greatest impact. This includes the satisfaction attained from cooperating with others, the work in and of itself, and the practical application of one’s knowledge, experiences, and skills. There is a relationship between an individual’s coefficient of motivation towards societal contribution and his or her desire to reach prosperity for all humankind as opposed to purely financial motives.

목차

Ⅰ. 서 론

Ⅱ. 이론 및 선행연구 검토

Ⅲ. 연구방법

Ⅳ. 분석결과

Ⅴ. 결 론

참고문헌

키워드

새마을운동 새마을국제개발협력사업 베이비붐세대 참여의사 이분형로지스틱 회귀분석 Saemaul Undong Saemaul International Development Project Baby Boom Generation Participation Intention Binominal Logistic Regression Analysis