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Valuation of Trust in Government: The Wellbeing Valuation Approach

Author

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  • Savinee Suriyanrattakorn

    (Department of Applied Economics, National Chung Hsing University, South District, Taichung City 402204, Taiwan)

  • Chia-Lin Chang

    (Department of Applied Economics, National Chung Hsing University, South District, Taichung City 402204, Taiwan
    Department of Finance, National Chung Hsing University, South District, Taichung City 402204, Taiwan)

Abstract

Subjective wellbeing maximization is a possible goal of government or public policies, and it is often considered the goal of individual life. This paper proposes an estimation using the Wellbeing Valuation Approach (WVA) to estimate the monetized effect of trust in government. Using a cross-country panel data set for 97 countries in the period from 2011 to 2019, we arrive at three main findings. First, there is a positive relationship between trust in national government and average life satisfaction. Second, trust in the national government has a global median value of Intl$ 5649 per person a year in foregone income. Third, trust affects life satisfaction directly as well as indirectly through per capita GDP. This indirect effect is considered relatively small compared to the direct effect, being approximately six times smaller. This study contributes to the policy evaluation literature by providing an evaluation of trust in government to be used as a proxy to plan future investment or policy assessment.

Suggested Citation

  • Savinee Suriyanrattakorn & Chia-Lin Chang, 2021. "Valuation of Trust in Government: The Wellbeing Valuation Approach," Sustainability, MDPI, vol. 13(19), pages 1-14, October.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:19:p:11000-:d:649662
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    2. Xiuling Ding & Qian Lu & Lipeng Li & Apurbo Sarkar & Hua Li, 2022. "Evaluating the Impact of Institutional Performance and Government Trust on Farmers’ Subjective Well-Being: A Case of Urban–Rural Welfare Gap Perception and Family Economic Status in Shaanxi, Sichuan a," IJERPH, MDPI, vol. 20(1), pages 1-20, December.

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