nep-hap New Economics Papers
on Economics of Happiness
Issue of 2020‒06‒29
three papers chosen by



  1. Willingness to Pay for Better Air Quality: The case of China By Liu, L-Q.; Yin, Z-L.; Xie, B-C.; Zhou, W.
  2. Markov switching models for happiness during a pandemic: The New-Zealand experience By Rossouw, Stephanie; Greyling, Talita; Adhikari, Tamanna; Morrison, Phillip S.
  3. Work and Wellbeing: A Conceptual Proposal By Nicolai Suppa

  1. By: Liu, L-Q.; Yin, Z-L.; Xie, B-C.; Zhou, W.
    Abstract: Air pollution is a big threat to human beings and has attract worldwide attention from governments and scholars. Based on the survey of happiness in China, this paper attempts to analyze the impact of local air quality on the happiness of individuals, and to evaluate the monetary value of mitigating air pollution. Through merging individual happiness data in a nationally representative survey with daily air quality index (AQI) according to the date and location of each respondent, it calculates the marginal rate of substitution (MRS) between air quality and income, and then estimates respondents’ willingness to pay (WTP) for better air quality. Moreover, it has further explored the differences of WTPs among groups. This study reaches the conclusion that happiness is positively associated with income but negatively correlated with air pollution. Besides, individual happiness is heavily influenced by income, age, gender, health condition, marital status and other variables. Furthermore, WTPs differ greatly among groups and the estimated average WTP of whole sample is 549.36RMB(or 0.90% of annual household income) per year per family for one unit reduction in AQI.
    Keywords: Happiness, Willingness to pay, Air pollution, China
    JEL: L94
    Date: 2020–05–21
    URL: http://d.repec.org/n?u=RePEc:cam:camdae:2042&r=all
  2. By: Rossouw, Stephanie; Greyling, Talita; Adhikari, Tamanna; Morrison, Phillip S.
    Abstract: This paper estimates Markov switching models with daily happiness (GNH) data from New Zealand for a period inclusive of the Covid-19 global health pandemic. This helps us understand the dynamics of happiness due to an external shock and provides valuable information about its future evolution. Furthermore, we determine the probabilities to transition between states of happiness and estimate the duration in these states. In addition, as maximising happiness is a policy priority, we determine the factors that increase happiness, especially during the pandemic to ensure rapid restoration of happiness levels post the Covid-19 shock. The results show New Zealand is currently in an unhappy state which is lasting longer than predicted. To increase the happiness levels to pre-pandemic levels, policymakers could allow free mobility, create economic stimuli, and allow international travel between New Zealand and low-risk Covid-19 countries.
    Keywords: Happiness,Covid-19,Big data,Markov switching model,New Zealand
    JEL: C55 I12 I31 J18
    Date: 2020
    URL: http://d.repec.org/n?u=RePEc:zbw:glodps:573&r=all
  3. By: Nicolai Suppa
    Abstract: Labour is of utmost importance for human wellbeing. Yet a comprehensive framework that can reflect the empirical diversity of labour activities along with each activities' manifold effects on human wellbeing is still lacking. An additional challenge for any such framework is to adequately handle fundamental moral ambiguities, which are inherent to many forms of work. This paper argues that a conceptualisation of labour within the capability approach can meet these requirements. Specifically, I argue that labour can be conceived as a characteristic-providing activity, where obtained characteristics are then transformed into functioning achievements, while accounting for both individual and societal heterogeneity. Additionally, paying adequate attention to unfreedoms experienced by agents turns out to be vital for a comprehensive account. Finally, the paper discusses policy handles, offers suggestions for particular applications, and identifies several other benefits for labour economics.
    Date: 2019–10
    URL: http://d.repec.org/n?u=RePEc:qeh:ophiwp:ophiwp131&r=all

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