Ranking quality of life using subjective well-being data

Moro, Mirko; Brereton, Finbarr; Ferreira, Susana; Clinch, J. Peter

doi:10.1016/j.ecolecon.2008.01.003

Cited by 81 publications

(71 citation statements)

References 32 publications

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“…The author found that the improvement of air quality has a significant positive effect on the residents' life satisfaction. Similarly, later studies evaluated air pollution in different regions [61,62]. Furthermore, subjective well-being data have been used to estimate the value of noise pollution, climate change, extreme weather events, flood hazard, and non-market value of farmland [63][64][65][66].…”

Section: Valuing Environmental Goods Using Subjective Well-being Datamentioning

confidence: 99%

Valuing Urban Landscape Using Subjective Well-Being Data: Empirical Evidence from Dalian, China

Wang

Kang

2017

Sustainability

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It has been well recognized that the urban landscape ecosystem is able to make a great contribution to the quality of life for people who live in the city and beyond, thus it can potentially accrue a significant economic value to the human well-being. However, due to its public good nature, it is difficult to monetizing its values in a systematic manner. In this paper, we attempt to assess the economic value of the urban landscape through people's life satisfaction approach utilizing a large sample of dataset complied from the general public survey in Dalian City which is one of the well-known tourism cities in China. The results indicate that most of the urban landscape attributes impose significant effects on people's life satisfaction, thus accruing a considerable amount of value to the local residents. Taking a 10-point ranking scale for the urban landscape quality as an example, the household willingness to pay on average reaches ¥24,579 per annum for one point of ranking level increase. Relative to the low level of household income, those high-income households are much keener to the changes of the landscape quality. If the urban landscape quality is disaggregated into five levels, household's marginal willingness-to-pay diminishes as the urban landscape's rank level is improved.

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Section: Valuing Environmental Goods Using Subjective Well-being Datamentioning

confidence: 99%

Valuing Urban Landscape Using Subjective Well-Being Data: Empirical Evidence from Dalian, China

Wang

Kang

2017

Sustainability

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“…The effects of precipitation, wind speed, rainy days and hours of sunshine on SWB can be different based on the study area. For instance, wind has negative effect on SWB in Ireland (Moro et al, 2008;Ferreira and Moro, 2010). Welsch (2002; found a negative relationship between SWB and air pollution factors at country level.…”

Section: Resultsmentioning

confidence: 99%

“…The natural environments (e.g., landscape, forest, savanna and mountains) should be reachable in the environment around human habitat. Diener et al (2009) and Moro et al (2008) found that people (based on the subjective well-being) who are living proximity to the coastline are happier. Ferreira & Moro (2010) mentioned that coastline is not significant factor for happiness if the distance is more than 5 km.…”

Section: Resultsmentioning

confidence: 99%

Special Issue 4 : 2016

Conference¹

2016

PMJ

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“…In their study of Ireland Brereton et al (2008), Moro et al (2008) and Ferreira and Moro (2010) use a Geographical Information Systems approach providing highly detailed information on households' immediate surroundings including the climate. find annual average wind speed negatively impacts life satisfaction whereas higher January minimum night-time temperatures and higher July maximum daytime temperatures both increase life satisfaction.…”

Section: Subjective Wellbeingmentioning

confidence: 99%

“…find annual average wind speed negatively impacts life satisfaction whereas higher January minimum night-time temperatures and higher July maximum daytime temperatures both increase life satisfaction. Moro et al (2008) use their regression results including climate variables to rank regions in Ireland according to their quality of life. Ferreira and Moro (2010) also find a positive coefficient for January minimum nighttime temperatures which is significant at the one percent level of confidence.…”

Section: Subjective Wellbeingmentioning

confidence: 99%

Do Geographical Variations in Climate Influence Life-Satisfaction?

2013

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Accounting for socioeconomic and demographic variables as well as country specific effects, households' willingness to pay for changes in climate is revealed using European data on reported life satisfaction. Individuals located in areas with lower average levels of sunshine and higher average levels of relative humidity are less satisfied as are individuals in locations subject to significant seasonal variation in monthly mean temperatures and rain days. Ranking regions according to the preferred climates households appear strongly to favour the Mediterranean climate over the climate of Northern Europe. Terms of use: Documents in EconStor may

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Ranking quality of life using subjective well-being data

Cited by 81 publications

References 32 publications

Valuing Urban Landscape Using Subjective Well-Being Data: Empirical Evidence from Dalian, China

Valuing Urban Landscape Using Subjective Well-Being Data: Empirical Evidence from Dalian, China

Special Issue 4 : 2016

Do Geographical Variations in Climate Influence Life-Satisfaction?

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