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[국내논문] 지역별 가계지출 부담이 기혼여성의 출산 의사에 미치는 영향: 수도권과 비수도권 비교를 중심으로
Comparing the Effects of Regional Household Expenditure Burden on Childbirth Intention of Married Women: The Case of Capital and Non-Capital Regions 원문보기

지적과 국토정보 = Journal of cadastre & land informatix, v.51 no.2, 2021년, pp.151 - 168  

이다은 (중앙대학교 도시계획.부동산학과) ,  서원석 (중앙대학교 도시계획.부동산학과)

초록
AI-Helper 아이콘AI-Helper

본 연구는 수도권과 비수도권의 가계지출 부담이 기혼여성의 출산 의사에 미치는 영향을 패널로짓 모형을 이용해 비교분석하였다. 실증분석의 핵심 대상인 기혼여성의 범위는 가임 가능성이 높은 25세부터 39세까지로 한정하였다. 주요 분석 결과는 다음과 같다. 첫째, 거주 지역과는 관계없이 대체로 배우자의 경제력이 기혼여성의 출산 의사에 있어 중요한 요인일 수 있다는 점을 확인하였다. 둘째, 결혼생활 만족도는 높을수록 출산 의사에 긍정적인 영향을 미치고 있었으며, 자녀가 반드시 있어야 한다는 가치관이 있을수록 출산 의사가 높아지는 것으로 나타났다. 셋째, 가계지출 부담은 기존 자녀 수와 같은 내부요인을 제외하고 기혼여성의 출산 의사에 있어 가장 중요한 영향을 미치는 요인임을 확인하였다. 특히 수도권과 비수도권 모두 교육비 지출에 대한 부담은 출산 의사를 큰 폭으로 감소시키는 핵심 원인으로 나타났다. 넷째, 가계지출 부담은 거주 지역에 따라 출산 의사에 상이한 영향을 보이는 것으로 나타났는데, 수도권은 의료비 및 원리금 대출이, 비수도권은 교통통신비가 출산 의사에 더 큰 영향을 미치고 있었다. 이를 통해 본 연구는 출산 제고를 위해서는 가계지출에 대한 부담완화가 지속적으로 필요하며, 거주 지역에 따라 차별적인 정책접근이 요구된다는 시사점을 확인하였다.

Abstract ▼ AI-Helper 아이콘AI-Helper

This study compared and analyzed the effect of the burden of household expenditure in the metropolitan and non-metropolitan areas on the intention to childbirth intention to married women using a panel logit model. To this end, this analysis targeted married women aged 25 to 39 who are highly likely...

Keyword

#출산 의사   #가계지출   #주거부담   #저출산   #패널로짓   #수도권   #지역경제  

표/그림 (5)

참고문헌 (49)

  1. Kang SJ, Seo WS. 2020. The Impact of Living Expenses of Low-Income Households on Mental Health by Housing Tenure Type. Housing Studies Review. 28(4):63-85. 

  2. Kang YJ. 2007. Family-related Factors Affecting the Second Birth Decision. The Korean Journal of Community Living Science. 18(4):639-653. 

  3. Kang HG, Sim DH, Pack YH, Yi SH. 2014. The Impact of Regional Economic Characteristics and Life Cycle On Mothers' Intention of Having Additional Children: A Study Combining Microscopic and Macroscopic Variables. Korean Journal of Child Care and Education Policy. 8(2):175~208. 

  4. Kim SS, Baek HY. 2014. The Effects of Household's Economic Status on the Childbirth. Korea Social Policy Review. 21(3):129-157. 

    crossref

  5. Kim SG. 2010. The limitations of responsibility for raising children and the expenditure of child support expenses by Koreans. Health and Welfare Issue & Focus. 68:1-8. 

  6. Kim YJ, Sung JH, Kim HB. 2017. A study on the Factors Affecting Land Prices Caused by the Development of Industrial Complex. Journal of Cadastre & Land InformatiX. 47(1):143-160. 

    원문보기 상세보기 crossref

  7. Kim EK, Park SA. 2019. A Study on the Influencing Factors of Parents and Community on Subsequent Childbirth Planning. Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology. 9(7):443-454. 

  8. Kim EJ. 2016. Current State and Challenges of Childcare Support Institutions. Health and Welfare Forum. 7:76-90. 

  9. Kim JS. 2007. Parity Specific Approach to the Plan of Having an Additional Child. Korea Journal of Population Studies. 30(2):97-116. 

  10. Roh SH. 2012. The Longitudinal Study on the Factors of the Employment and Employment Types among Disabled Elderly. Disability & Employment. 22(3):51-82. 

    crossref

  11. Ma MJ. 2008. An Exploratory Study on the Intention and the Avodiance of Second Childbirth of Working Couples. Korea Journal of Parent Education. 5(1):75-116. 

  12. Min IS, Choi PS. 2019. STATA Panel Data Analysis. Jipil Media. p. 243-256. 

  13. Park SY. 2019. A Study on the Factors Affecting Newlyweds' Birth Plan: Focused on Newlyweds' housing and residential area characteristics using HLM. Journal of the Korean Regional Science Association. 35(1):59-72. 

    원문보기 상세보기 crossref

  14. Park JS. 2015. The structure of consumption expenditure and education costs of households with academic girls. Health and Welfare Issue & Focus. 293:1-8. 

  15. Bae GI, Kim KS. 2012. A study on the influence of family values and birth policy on the wanted fertility rate. Korean Journal of Social Welfare Studies. 43(3):239-266. 

    상세보기 crossref

  16. Bae JY, Hong SJ. 2010. A Study on the Determinant Factors of Married Working Women's Childbirth Intention. Association of 21 century Social Wealfare. 7(1):131-150. 

  17. Seo MJ. 2011. The Effects of Parents' Psychosocial Characteristics on Follow-up Planned Childbirth: Focused on Family with Children. Korean Journal of Child Care and Education Policy. 5(1):127-148. 

  18. Seo JY, Kim HG. 2015. Factors Influencing Married Women's Childbearing Willingness Based on Number of Children-Ever-Born. Korea Journal of Population Studies. 38(3):1-24. 

  19. Sung JH, Kim HK. 2017. A Study on the Residential Mobility According to Tenant Household Age Using Panel Logit Model. Korea Real Estate Academy Review. 69:175-189. 

  20. Sung JH, Chung SS, Seong SC. 2017. A Study on the Factors Affecting Rental Income of Real Estate for Before and After Financial Crisis Using Panel Data. Korea Real Estate Academy Review. 71:259-273. 

  21. Song YJ. 2014. An Analysis of Married Women's Fertility Plans in Korea. The Korean Society of Community Living Science. 25(3):339-347. 

    원문보기 상세보기 crossref

  22. Shin YJ. 2008. An Analysis of the Effect of Burden of Childcare and Education on Childbirth. Health and Social Welfare Review. 28(2):103-134. 

    상세보기 crossref

  23. Shin YJ, Kim JY. 2010. Estimation of the Cost of Children and Policy Implications. Korea Institute for Health and Social Affairs. Research report 2010-30-8. p.153 

  24. Shin YJ, Lee MJ, Jeon GH. Moon SH. 2020. Realization of fertility intention and fertility forecasting. Korea Institute for Health and Social Affairs. Research report 200-37. p.29-54. 

  25. Shin IC. 2009. Spatial Effects of Married Women's Childbirth Plan. The Population Association of Korea. 32(2):59-85. 

  26. Shin HY, Choi MS, Kim EJ. 2009. An Analysis of Socio-Economic Factors of Households on Additional Children in Seoul. Seoul Studies. 10(2):33-47. 

  27. Yang HS, Seo WS. 2020. Time Series Analysis of the Relationship between Housing Consumer Sentiment and Regional Housing Prices in Seoul. Journal of Cadastre & Land InformatiX. 50(1):125-141. 

    원문보기 상세보기 crossref

  28. Yeom JH. 2013. Factors Affecting Additional Childbirth Intention: Focusing on Gangnamgu. The Korea Association of Child Care and Education. 75:43-63. 

  29. Woo HB, Chang IS. 2019. Association between Birth Plans and Subsequent Birth Behavior and Its Implications. Social Welfare Policy. 46(2):85-115. 

    상세보기 crossref

  30. Lee DE, Seo WS. 2019. Analyzing the Characteristics of Residential Poverty affecting Marriage and Childbirth. Journal of The Residential Environment Institute of Korea. 17(4):75-89. 

    상세보기 crossref

  31. Lee DE, Seo WS. 2021. The Effect of Residential Characteristics on Childbirth Intention. Seoul Studies. 22(1):1-15. 

  32. Lee SS, Choi HJ. 2012. Analysis on Association between Housing and Fertility. Korea Institute for Health and Social Affairs. Research report 2012-47-7. p.101. 

  33. Lee SW. 2017. A Longitudinal Study on Predictors of Suicide Ideation in Old People: Using a Panel Logit Model. Health and Social Welfare Review. 37(3):191-229. 

    상세보기 crossref

  34. Lee SW. 2013. Sudy of factors on the poverty of the mentally disabled people. Journal of Disability and Welfare. 20:89-101. 

  35. Lee SY. 2008. An Analysis of the Effect on Childbirth Will of Married Women. Journal of Family Resource Management and Policy Review. 12(2):15-30. 

  36. Lee SY, Choi IS. 2016. Policy Support for Medical Expenses on Pregnancy and Delivery: The Kookmin Haengbok Card Program. Korea Institute for Health and Social Affairs. Research report 2016-12. p.127. 

  37. Lee SJ, Lee SM, Moon SH. 2017. The Study on the Effect of Double Responsibility of Elderly and Child care on the Future Childbirth Intention: Focusing on Moderating Effect of the Presence of Elderly Care Burden on the Relationship between the Number of Children within Household and the future Fertility Intention. Family and Culture. 29(3):111-138. 

    상세보기 crossref

  38. Lee JH, Kim GW, Choi KH. 2020. The Relationship between Childbirth, Housing and Socio-Economic Factors: The Pattern Analysis using Decision Tree. Journal of Digital Contents Society. 21(2):327-336. 

    상세보기 crossref

  39. Lee JW, Kim JY, Yu KY, Yang SC. 2019. Optimal Location Modeling for Elementary Student's Care facility using Public Data. Journal of Cadastre & Land InformatiX. 49(2):109-122. 

  40. Lee HM. 2012. A Study on the Factors Affecting Additional Birth Plan - Focused on Korean Households with Infants. The Korea Association of Child Care and Education. 70:1-31. 

  41. Lim BI, Seo HR. 2021. The Relationship Between Women's Family Values and Their Intention to Get Married and Have Children. 41(2):123-140. 

    crossref

  42. Chung MR. Hong SY. Park SK. 2013. A study on the variables affecting additional childbirths of the families with one child. Korean Journal of Early Childhood Education. 33(1):259-277. 

    상세보기 crossref

  43. Jung EH, Choi YS. 2013. The Factors Associated with the Birth Plan for Second Child and Second Birth for Married Women in Korea. Health and Social Welfare Review. 33(1):5-34. 

    crossref

  44. Jin SM, Kang EN, Jang YS. 2011. A Longitudinal Study on the Effects of the Social Service Continuity on Married Women's Labor Force Participation and Employment Patterns: Using a mixed-effects multinominal logistic regression model. Health and Social Welfare Review. 31(3):38-69. 

    상세보기 crossref

  45. Cha KW. 2005. The Differences in Household Economic Structure between Low-Fertility and Birth-Planned Households. Journal of Families and Better Life. 23(2):137-148. 

  46. Chun HS. 2013. Housing Policy Supplement in Response to the Birth Trend. KRIHS policy brief. 423:1-8 

  47. Chun HS, Lee GJ, Kim JH. 2016. The macro- and micro-level analysis of the effect of housing conditions on fertility. Korea Institute for Health and Social Affairs. Research report 2016-44-03. 

  48. Choi HC, Yoo JE. 2020. The effect of the transition of life course on changes in consumption patterns of Korean Households. Journal of Digital Convergence. 18(5):127-138. 

    원문보기 상세보기 crossref

  49. Choi HJ. 2018. A Longitudinal Study on Predictors of Elderly Employment(Comparing Young-old with Old-old Age Group): A panel logit approach. Korean Journal of Gerontological Social Welfare. 73(3):113-141. 

    crossref

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