Journal of Environmental Impact Assessment (환경영향평가)

Korean Society of Environmental Impact Assessment (한국환경영향평가학회)
권호 표지
DOI QR코드

DOI QR Code

An Analysis of the Effects of Water Pollution on Life Satisfaction in Korea

한국의 수질오염이 생활만족도에 미치는 영향에 대한 분석

  • 김수정 (고려대학교 경제학과) ;
  • 강성진 (고려대학교 경제학과 및 그린스쿨)
  • Received : 2016.01.18
  • Accepted : 2016.03.28
  • Published : 2016.04.30
Download PDF
⟨ Previous Next ⟩

Abstract

Using the Korea Labor Institute Panel Study(KLIPS), this study investigates the impacts of water pollution on life satisfaction in Korea. Panel random-effects ordered probit model is used to consider the ordered property of life satisfaction data and heterogeneity of panel data. The proxy variables to reflect the degree of water pollution are biochemical oxygen demand(BOD) and total phosphorus(TP). In addition to the environmental variables above, other determinants used in various studies on life satisfaction such as economic, social, and demographic characteristics are included. Estimation results show that water pollution is negative and significant for life satisfaction. Other indicators such as income, age, house ownership, gender, education are positively related while urban residence and own business are shown to be negatively related.

본 연구는 한국노동패널(Korea Labor and Income Panel Study, KLIPS) 제1차~제15차년도 자료와 환경부에서 제공하는 수질자료를 이용하여, 개인의 전반적인 생활만족도(life satisfaction)가 수질오염으로 대표되는 환경오염에 의해 어떻게 영향을 받는가를 실증적으로 분석한 것이다. 서수적 순서를 가진 종속변수의 특성과 패널자료의 이질성을 감안하여 패널 확률효과 순서형 프로빗(panel random-effects ordered probit) 모형으로 추정하였다. 수질오염도를 반영하는 지표로는 생물화학적 산소요구량(biochemical oxygen demand, BOD), 총인(total phosphorus, TP) 농도를 사용하였다. 또한 기존의 연구에서와 같이 개인의 경제적 특성, 사회 인구학적 특성을 동시에 고려하였다. 분석 결과 BOD, TP 모두 개인의 생활만족도에 부정적인 영향을 미치는 것으로 나타났다. 그 외 다른 변수들은 선행연구에서 나타난 결과와 유사하다. 자신의 소득 증가, 연령, 기혼, 자가주택 보유, 건강, 여성, 높은 교육수준은 생활만족도에 긍정적인 영향을 미치며, 타인의 소득 증가, 실업자, 도시거주, 자영업자인 경우는 부정적인 영향을 미치는 것으로 나타났다.

Keywords

References

  1. Chamberlain G. 1980. Analysis of covariance with qualitative data. The Review of Economic Studies. 47(1): 225-238. https://doi.org/10.2307/2297110
  2. Clark AE, Frijters P, Shields MA. 2008. Relative income, happiness, and utility: An explanation for the Easterlin paradox and other puzzles. J Economic Literature. 46(1): 95-144. https://doi.org/10.1257/jel.46.1.95
  3. Israel D, Levinson A. 2003. Examining the Relationship between Household Satisfaction and Pollution. Draft Version.
  4. Kang SJ. 2010. The analysis on the determinants of life satisfaction in Korea. Kyongjehak Yongu. 58(1): 5-36. [Korean Literature]
  5. Kang SJ, Kim SJ. 2012. Air pollution and life satisfaction in Korea. Environmental and Resource Economics Review. 21(4): 893-920. [Korean Literature]
  6. Kim JK. 2010. Water pollution overview. Donghwa technology publishing co. [Korean Literature]
  7. KLIPS [Korea Labor and Income Panel Study]. Available from: http://www.kli.re.kr/klips_eng/index.do, Accessed: 2015.10.30.
  8. Lew B, Arvin M. 2012. Happiness and air pollution: Evidence from 14 European Countries. International J Global Environmental Issues. 12(1): 76-90. https://doi.org/10.1504/IJGENVI.2012.047876
  9. Li Z, Folmer H, Xue J. 2014. To what extent does air pollution affect happiness? The case of the Jinchuan Mining area, China. Ecological Economies. 99: 88-99. https://doi.org/10.1016/j.ecolecon.2013.12.014
  10. Luechinger S. 2009. Valuing air quality using the life satisfaction approach. The Economic Journal. 119: 482-515. https://doi.org/10.1111/j.1468-0297.2008.02241.x
  11. Luechinger S. 2010. Life satisfaction and transboundary air pollution. Economics Letters. 107: 4-6. https://doi.org/10.1016/j.econlet.2009.07.007
  12. MacKerron G, Mourato S. 2009. Life satisfaction and air quality in London. Ecological Economics. 68: 1441-1453. https://doi.org/10.1016/j.ecolecon.2008.10.004
  13. Ministry of Environment. Available from: http://www.me.go.kr/ndg/web/index.do?menuId=3504. Accessed: 2015.10.30.
  14. Mundlak Y. 1978. On the pooling of time series and cross section data. Econometrica. 46(1): 69-85. https://doi.org/10.2307/1913646
  15. Rahman T, Mittelhammer RC, Wandschneider PR. 2010. Measuring quality of life across countries: A multiple indicators and multiple causes approach. The J Socio-Economics. 40: 43-52.
  16. Rehdanz K, Maddison D. 2008. Local environmental quality and life satisfaction in ermany. Ecological Economics. 64: 787-797. https://doi.org/10.1016/j.ecolecon.2007.04.016
  17. Silva J, Keulenaerl FD, Johnstone N. 2012. Environmental quality and life satisfaction: Evidence based on micro-data. OECD Environment Working Papers. 44: OECD Publishing.
  18. Smyth R, Nielsen I, Zhai Q, Liu T, Liu Y, Tang C, Wang Z, Zhang J. 2009. Environmental surroundings and personal well-being in Urban China. Development Research Unit Working Paper Series 11-09. Monash University, Department of Economics.
  19. Tella RD, MacCulloch R. 2008. Gross national happiness as an answer to the Easterlin paradox? J Development Economics. 86: 22-42. https://doi.org/10.1016/j.jdeveco.2007.06.008
  20. Tella RD, MacCulloch RJ, Oswald AJ. 2001. Preferences over inflation and unemployment: Evidence from surveys of happiness. The American Economic Review. 91(1): 335-341. https://doi.org/10.1257/aer.91.1.335
  21. The Water Information System. Available from: http://water.nier.go.kr/waterMeasurement/selectWater.do. Accessed: 2015.10.30.
  22. Welsch H. 2006. Environment and happiness: Valuation of air pollution using life satisfaction data. Ecological Economics. 58: 801-813. https://doi.org/10.1016/j.ecolecon.2005.09.006

Cited by

  1. Comparison of Sampling and Wall-to-Wall Methodologies for Reporting the GHG Inventory of the LULUCF Sector in Korea vol.9, pp.4, 2018, https://doi.org/10.15531/ksccr.2018.9.4.385