Does Economic Growth Raise Happiness in China?

By John Knight, R. Gunatilaka. 2011

182 citations recorded by the source corpus.

Subfields: General Health Professions, Health, Social Psychology

View Paper: https://www.semanticscholar.org/paper/abf165f6eae21bcc46f17b78a8e009b2272f6c9f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In General Health Professions

1. Zhizhang Wang
2. Saizi Xiao
3. Xin Zhang
4. Xiaoqing Tang
5. M. Asadullah
6. Francesco Sarracino
7. Xiaobo Zhang
8. S. Bartolini

In Health

1. Francesco Sarracino
2. Saizi Xiao
3. Xin Zhang
4. M. Asadullah
5. Xiaobo Zhang
6. S. Bartolini
7. Xi Chen
8. E. Yeoh

In Social Psychology

1. Francesco Sarracino
2. Zhizhang Wang
3. Saizi Xiao
4. Xin Zhang
5. Xiaoqing Tang
6. M. Asadullah
7. Xiaobo Zhang
8. S. Bartolini

Citations in the corpus

• Psychometric Evaluation of the Simplified Chinese Version of Flourishing Scale (2016, background): “…in the above phenomenon, in view of accumulating evidence on the significance of relative income comparisons and rising material aspirations in China in counteracting the effect of rising income (Brockmann, Delhey, Welzel, & Yuan, 2009; Knight & Gunatilaka, 2011; Smyth, Nielsen, & Zhai, 2010).”
• Happiness in the Air: How Does a Dirty Sky Affect Mental Health and Subjective Well-being? (2017, methodology): “Following the literature (Oswald 1997; Knight, Song, and Gunatilaka 2009; Knight and Gunatilaka 2010, 2011; Easterlin et al. 2012), we control for a set of demographic correlates of happiness Xijt, including age and its square term, gender, marital status, years of education, unemployment status,…”
• Subjective Well-Being in China, 2005-2010: The Role of Relative Income, Gender and Location (2015, methodology): “This is consistent with Knight and Gunatilaka (2012) who note that subjective well-being is raised by actual income but lowered by aspiration income. Expected improvement (decline) in personal economic position in the next 10 years positively and significantly (negative and insignificant) affected w”
• The Dark Side of Chinese Growth: Declining Social Capital and Well-Being in Times of Economic Boom (2015, background): “Knight and Gunatilaka (2011), using survey data from 2002, conclude that income comparisons have a dominant impact on Chinese SWB. Jiang, Lu, and Sato (2012) show that income inequality between urban migrants and urban residents has a negative impact on SWB. Similarly, Knight and Gunatilaka (2010)…”
• Inequality in China: An Overview (2013, unknown): “The World Bank Research Observer , vol. 29, no. 1 (February 2014) Measuring Inequality Some knowledge and understanding of the data sources and their limitations is necessary.”