• 제목/요약/키워드: Determinants of Employment

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사회적기업의 특성이 재무적 성과와 사회적 성과에 미치는 영향: CEO 특성을 중심으로 (A Study on the Effect of Social Enterprises Characterics on Financial and Social Performance)

  • 황수영;김용덕
    • 한국벤처창업학회:학술대회논문집
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    • 한국벤처창업학회 2018년도 추계학술대회
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    • pp.165-175
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    • 2018
  • 1997년 외환위기 이후 대규모 실업 및 빈곤 문제가 심각해지면서, 공공근로 사회적 일자리 창출사업 등을 진행했으나, 저임금, 단기 일자리라는 한계점을 가지고 있어 지속적인 양질의 일자리 창출에 대한 필요성이 점차 제기되면서 사회적기업이 점차 주목받기 시작했다. 최근 사회적기업에 대한 관심이 증가하고 양적 질적으로 성장하면서 사회적기업의 성공과 실패를 결정하는 요인에 대한 관심도 커지고 있다. 이에 본 연구에서는 사회적기업 특성이 재무적 성과와 사회적 성과에 어떠한 영향을 미치는지에 대해 분석을 수행하였으며, 한국사회적기업진흥원에 자발적으로 경영공시를 수행한 사회적기업을 중심으로 분석하였다. 사회적기업의 재무적 성과는 당기순이익률, 영업이익률, 총자산이익률을 사용하였으며, 사회적 성과는 총고용 수, 취약계층고용비율을 사용하였다. 사회적기업 특성 요인으로는 대표자 특성(성별, 나이, 사회적기업 운영 경험), 기업규모, 업력, 차입금의존도, 자기자본비율, 인증 경과기간 등을 설정하였다. 실증분석결과는 다음과 같다. 첫째 사회적기업 특성과 재무적 성과와의 분석에서 기업규모, 조직형태, 정부지원금, 자기자본비율은 재무적 성과와 통계적으로 유의한 양의 관련성을 보이는 것으로 나타났으며, CEO 나이, 기업업력, 차입금의존도는 통계적으로 유의한 음의 관련성을 보이는 것으로 나타났다. 둘째, 사회적기업 특성과 사회적 성과와의 분석에서는 CEO 성별, CEO 연령, 기업규모 정부지원금은 총근로자수와 유의한 양의 관계를 보인 반면 인증유형, 업종더미는 유의한 음의 관계를 보였다. 한편 CEO 성별과 인증유형은 취약계층취업률과 유의한 양의 관련성을 보이는 것으로 나타났으며, 정부지원금, 기업규모 등은 취약계층취업률과 통계적으로 유의한 차이를 보이지 않았다.

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성범죄자와 일반범죄자의 보호관찰 경고장 관련 요인 비교 (A Study on the Violation of Probation Condition Determinants between Sex Offenders and Non-Sex Offenders)

  • 조윤오
    • 시큐리티연구
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    • 제43호
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    • pp.205-230
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    • 2015
  • 2010년 이후부터 성범죄자 신상정보 등록기간이 20년으로 확대되는 등 지역사회 내에서 성범죄자에 대한 지도, 관리를 강화하려는 경향이 점차 뚜렷해지고 있다. 그러나 성범죄자의 범죄행동 패턴 및 인구사회학적 특징, 그리고 보호관찰 취소 요인 관련 연구는 많지 않은 상황이다. 이에 본 연구에서는 2013년에 서울보호관찰소에서 형이 종료된 성범죄자의 공식 판결문 및 보호관찰기록을 바탕으로, 성범죄자의 경고장 발송에 영향을 미치는 요인을 로지스틱 회귀분석 모델로 분석하고자 하였다. 무엇보다도 성범죄자에 대한 경고장 발송 요인이 일반범죄자의 그것과 어떻게 다른지 살펴보고 두 모델을 비교 분석하는데 연구의 초점을 두었다. 로지스틱 회귀분석 결과, 성범죄자 집단에서는 보호관찰 준수사항 위반으로 인한 경고장 발송 가능성이 과거 전과횟수에 영향을 받아 유의미하게 증가하는 것으로 나타났다. 달리 말하면, 성범죄자의 경우 인구사회학적 변인(연령, 혼인관계, 직장유형)이나 가해자-피해자 관계, 보호관찰 부가처분 등의 관련 변인이 준수사항 위반 가능성에 영향을 미치지 못하고, 오로지 성범죄자의 전과횟수만 경고장 발송 가능성을 증가시키는 것으로 볼 수 있다. 반면, 일반범죄자 집단에서는 성범죄자 모델과 달리 혼인상태나 무직 상황, 가해자-피해자 낯선 사람 관계 여부, 폭력행동 여부, 사회봉사명령 및 수강명령 부가처분 여부가 경고장 발송 가능성에 영향을 미치는 핵심 요인인 것으로 볼 수 있다. 이하 분석 결과와 관련된 정책적 논의를 심도 있게 다루어 본다.

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한국부인의 보건지식, 태도 및 실천에 영향을 미치는 제요인분석 (An Analysis of Determinants of Health Knowledge, Attitude and Practice of Housewives in Korea)

  • 남철현
    • 보건교육건강증진학회지
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    • 제2권1호
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    • pp.3-50
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    • 1984
  • The levels of health knowledge, attitude and practice of housewives considerably effect to the health of households, communities and the nation. This study was designed to grasp the levels of health knowledge, attitude and practice of houswives and analyse the various factors effecting to health in order to provide health education services as well as materials for effective formulation and implementation of health policy to improve the health of the nation. This study has been conducted through interviews by trained surveyers for 4,281 housewives selected from 4,500 households throughout the country for 40 days during July 11-August 20, 1983. The results of survey were analysed by stepwise multiple regression and path analysis are summarized as follows; 1. Based on the measurement instrument applied to this study, the levels of health knowledge, attitude and practice of housewives were extremely low with 54.5 points out of 100 points in full. Higher level with 72 points and above was approximately 21 percent and lower level with 39 points and below was approx. 24 percent. The middle level was approx. 55 percent. In order to implement health programs successively, health education should be more strengthened and to improve the level of health knowledge, attitude and practice (KAP) of the nation, political consideration as a part of spiritual reformation must be concentrated on health. 2. The level of health knowledge indicated the highest points with 57.3 the level of attitude was the second with 55.0 points and the practice level was the lowest with 50.0 point. Therefore, planning and implementation of health education program must be based on the persuasion and motivation that health knowledge turn into practice. 3. Housewives who had higher level of health knowledge, showed their practice level was relatively lower and those who had middle or low level of it practice level was the reverse. 4. Correlations among health knowledge, attitude and practice (KAP) were generally higher and statistically significant at 0.1 percent level. Correlation between total health KAP level and health knowledge was the highest with r=.8092. 5. Health KAP levels showed significant differences according to the age, number of children, marital status, self-assessed health status and concern on health of the housewives interviewed (p<0.001) 6. Health KAP levels also showed significant differences according to the education level, economic status, employment before marriage and grown-up area of the housewives interviewed. (p<0.001) 7. Heath KAP levels showed significant differences according to health insurance benificiary and the existence of patients in the family. (p<0.001). 8. Health KAP levels showed significant differences according to distance to government organizations, schools, distance to health facilities, telephone possession rate, television possession rate, newspaper reading rate and activities of Ban meeting and Women's club. (p<0.001) 9. Health KAP levels showed significant differences according to electric mass communication media such as television, radio and village broadcasting etc. and printed media such as newspaper, magazine and booklets etc., IEC variables such as individual consultation and husband-wife communication, however, there was no significance with group training. 10. Health KAP of the housewives showed close correlation with personal characteristics variables, i.e., education level (r=.5302), age (r=-.3694) grown-up area (r=.3357) and employment before marriage. In general, correlation of health knowledge level was higher than the levels of attitude or practice. In case of health concern and health insurance, correlation of practice level was higher than health knowledge level. 11. Health KAP levels showed higher correlation with community environmental characteristics, Ban meeting and activity of Women's club, however, no correlation with New-village movement. 12. Among IEC variables, husband-wife communication showed the highest correlation with health KAP levels and printed media, electric mas communication media and health consultation in order. Therefore, encouragement of husband-wife communication and development of training program for men should be included in health education program. 13. Mass media such as electric mass com. and printed media were effective for knowledge transmission and husband-wife communication and individual consultation were effective for health practice. Group training was significant for knowledge transmission, however, but not significant for attitude formation or turning to health practice. To improve health KAP levels, health knowledge should be transmitted via mass media and health consultation with health professionals and field health workers should be strengthened. 14. Correlation of health KAP levels showed that knowledge level was generally higher than that of practice and recognized that knowledge was not linked with attitude or practice. 15. The twenty-five variables effecting health KAP levels of housewives had 41 per cent explanation variances among which education level had great contribution (β=.2309) and electric mass com. media (β=.1778), husband-wife communication (β=.1482), printed media, grown-up area, and distance to government organizations in order. Variances explained (R²) of health KAP were 31%, 15%, and 30% respectively. 16. Principal variables contributed to health KAP were education level (β=.12320, β=.1465), electric mass comm. media (β=.1762, β=.1839), printed media, (β=.1383, β=.1420) husband-wife communication (β=.1004, β=.1067), grown-up area and distance to government organizations, in order. Since education level contributes greatly to health KAP of the housewives, health education including curriculum development in primary, middle and high schools must be emphasized and health science must be selected as one of the basic liberal arts subject in universities. 17. Variences explained of IEC variables to health KAP were 19% in total, 14% in knowledge, 9% in attitude, and 10% in health practice. Contributions of IEC variables to health KAP levels were printed media (β=.3882), electric mass comm media (β=.3165), husb-band wife com. (β=.2095,) and consultation on health (β=.0841) in order, however, group training showed negative effect (β=-.0402). National fund must be invested for the development of Health Program through mass media such as TV and radio etc. and for printed materials such as newspaper, magazines, phamplet etc. needed for transmission of health knowledge. 18. Variables contributed to health KAP levels through IEC variables with indirect effects were education level (Ind E=0.0410), health concern (Ind E=.0161), newspaper reading rate (Ind E=.0137), TV possession rate and activity of Ban meeting in order, however, health facility showed negative effect (Ind E=-.0232) and other variables showed direct effect but not indirect effect. 19. Among the variables effecting health KAP level, education level showed the highest in total effect (TE=.2693) then IEC (TE=.1972), grown-up city (TE=.1237), newspaper reading rate (TE=.1020), distance to government organization (TE=.095) in order. 20. Variables indicating indirect effects to health KAP levels were; at knowledge level with R²=30%, education level (Ind E=.0344), newspaper reading rate (Ind E=.0112), TV possession rate (Ind E=.0689), activity of Ban meeting (Ind E=.0079) in order and at attitude level with R²=13%, education level (Ind E=. 0338), activity of Ban meeting (Ind E=.0079), and at practice level with R²=29%. education level (Ind E=.0268), health facility (Ind E=.0830) and concern on health (Ind E=.0105). 21. Total effect to health KAP levels and IEC by variable characteristics, personal characteristics variables indicated larger than community characteristics variables. 22. Multiple Correlation Coefficient (MCC) expressed by the Personal Characteristic Variable was .5049 and explained approximately 25% of variances. MCC expressed by total Community environment variable was .4283 and explained approx. 18% of variances. MCC expressed by IEC Variables was .4380 and explained approx. 19% of variances. The most important variable effected to health KAP levels was personal characteristic and then IEC variable, Community Environment variable in order. When the IEC effected with personal characteristic or community characteristic, the MCC or the variances were relatively higher than effecting alone. Therefore it was identified that the IEC was one of the important intermediate variable.

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