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Is there a trade-off between individuals’ subjective well-being and their ecological footprint?

Is there a trade-off between individuals’ subjective well-being and their ecological footprint? Elsy Verhofstadt, Luc Van Ootegem, Bart Defloor & Brent Bleys. World Happiness Report, 2013 (p.108)

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Is there a trade-off between individuals’ subjective well-being and their ecological footprint?

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  1. Is there a trade-off between individuals’ subjective well-being and their ecological footprint? Elsy Verhofstadt, Luc Van Ootegem, Bart Defloor & Brent Bleys Well-being and Public Policy Conference – June 10-12, 2014 – New York

  2. World Happiness Report, 2013 (p.108) • “The analytical community needs to help us understand which policies would raise well-being in a sustainable way”. • Lenzen & Cummins, 2013 (p.57) • “To our knowledge, there exist at present no survey data, and hence also no assessment, in which SWB and carbon footprint of household consumption can be investigated for one and the same population” Elsy Verhofstadt June 12, 2014 2

  3. Research goals • Combine information on individual well-being with information on the ecological footprint of that individual • Investigate the relation between Subjective Well-Being (SWB) and the Ecological Footprint (EF): • direct relation between SWB and EF • impact of variables on SWB and EF Elsy Verhofstadt June 12, 2014 3

  4. Existing literature • Environment in SWB literature • state of the environment (e.g. temperature, air pollution) • attitudes towards the environment (e.g. concern for pollution) • In studies explaining the environmental impact or footprint of individuals the focus is on household characteristics but there is no link to subjective well-being Elsy Verhofstadt June 12, 2014 4

  5. Structure Introduction Concepts & measurement Correlation between well-being and footprint Analysis of determinants Summary and policy implications Elsy Verhofstadt June 12, 2014 5

  6. Ecological footprint: the concept The Ecological Footprint tracks humanity’s demands on the biosphere. It does so by calculating the area required to produce the resources people consume, the area occupied by infrastructure, and the area of forest required for sequestering CO2 not absorbed by the ocean. WWF, 2012 6

  7. WWF, 2012 7

  8. Ecological footprint: measurement • We included the questions necessary to calculate the Ecological Footprint for each respondent: • ‣ family composition, food intake, energy use (heating and • electricity), paper use, car and public transportation • use, travel behaviour • Calculations by Ecolife, partner of WWF in Belgium • Average: 6,94 (st.dev. 1,85) / minimum: 2,87 – maximum: 17,00 Elsy Verhofstadt June 12, 2014 8

  9. Subjective well-being: measurement • Life Satisfaction • “All things considered how satisfied are you with your life in general? “ • scale from 0 ‘very unsatisfied’ to 10 ‘very satisfied’ • Primary measure for SWB as suggested by OECD in their guidelinesonMeasuringSubjectiveWell-being (2013) • Average: 7,24 (st.dev. 1,50) / Median: 7 Elsy Verhofstadt June 12, 2014 9

  10. Data: LEVO 2013 • Self-reported information from a survey (N=1291) in Flanders • Data are weighted to obtain a representative sample according to personal situation, gender and age distribution • Socio-economic characteristics • Self-evaluations for health, social life and living environment • Personality traits and expectations • Attitude towards the environment Elsy Verhofstadt June 12, 2014 10

  11. Structure Introduction Concepts & measurement Correlation between well-being and footprint Analysis of determinants Summary and policy implications Elsy Verhofstadt June 12, 2014 11

  12. Pearson correlations • No significant correlation between ecological footprint and life satisfaction (p=0.719) • Correlations of satisfaction with the different components: Elsy Verhofstadt June 12, 2014 12

  13. Structure • Introduction • Concepts & measurement • Correlation between well-being and footprint • Analysis of determinants • 4.1 Effect of EF aspects on SWB • 4.2 Effect of SWB determinants on EF • Summary and policy implications Elsy Verhofstadt June 12, 2014 13

  14. 4.1 Effect of EF aspects on SWB (1) • Including all questions of the EF calculation in one stepwise OLS regression of SWB • For dummies, the reference is always a category for which the impact on the EF is on average • Components that are not significant for SWB: Elsy Verhofstadt June 12, 2014 14

  15. 4.1 Effect of EF aspects on SWB (2) • Unstandardized coefficients for significant dummies (p<0,05) Elsy Verhofstadt June 12, 2014 15

  16. 4.1 Effect of EF aspects on SWB (3) • Unstandardized coefficients for significant dummies (p<0,05) Elsy Verhofstadt June 12, 2014 16

  17. 4.1 Effect of EF aspects on SWB (4) • Unstandardized coefficients for significant dummies (p<0,05) Elsy Verhofstadt June 12, 2014 17

  18. 4.2 Effect of SWB determinants on EF (1) • Including all available well-being determinants in a stepwise OLS regression of SWB (adj. R2= 0,276) and EF (adj. R2= 0,100) • Standardized coefficients for significant variables (p<0,05)

  19. 4.2 Effect of SWB determinants on EF (2) • Standardized coefficients for significant variables (p<0,05)

  20. 4.2 Effect of SWB determinants on EF (3) • Standardized coefficients for significant variables (p<0,05) Elsy Verhofstadt June 12, 2014 20

  21. 4.2 Effect of SWB determinants on EF (4) • Standardized coefficients for significant variables (p<0,05)

  22. 4.2 Effect of SWB determinants on EF (5) • Standardized coefficients for significant variables (p<0,05) Elsy Verhofstadt June 12, 2014 22

  23. Structure Introduction Concepts & measurement Correlation between well-being and footprint Analysis of determinants Summary and policy implications Elsy Verhofstadt June 12, 2014 23

  24. Win-Win variables • i.e. reducing the ecological footprint and at the same time positive impact on subjective well-being • Increase consumption of local and seasonal products and decrease consumption of frozen vegetables and fruit preserves • Avoiding electricity for the heating of houses • Making homeownership appealing • Providing pleasant living environments in city centers Elsy Verhofstadt June 12, 2014 24

  25. Win-neutral variables • i.e. reducing the ecological footprint with no impact on subjective well-being • Using recycled paper and no advertising • Stimulate green electricity and advice on saving electricity • Insulate houses • Increase concern about environmental issues • Co –housing Elsy Verhofstadt June 12, 2014 25

  26. Trade off variables • Some variables create a trade off: they are beneficial for one outcome but have an adverse effect on the other outcome. • Examples: • having no or not using a car • stay at home or nearby during holidays • living in a small house or apartment •  Reduce EF, but are at the same time harmful for SWB Elsy Verhofstadt June 12, 2014 26

  27. Long-term effects • Policy objectives should also consider the long-term effects: • Extreme climate events caused by an increased ecological footprint will very likely have a negative impact on well-being through reduced health and feelings of safety and security. • Investments in education are necessary for R&D (eg for alternative energy) - although higher educated have a higher EF Elsy Verhofstadt June 12, 2014 27

  28. Thank you! Elsy.Verhofstadt@UGent.be Luc.VanOotegem@UGent.be

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