Izvorni znanstveni članak
https://doi.org/10.1080/1331677X.2023.2166970
Role of economic, and social parameters affecting life satisfaction and happiness during pre and post Covid era: a study with Marx’s perspective
Yun Su
Azizan Sabjan Muhammad
Sažetak
A cognitive, objective, and subjective evaluation of the judgment
of one’s perspective of looking at life defines as life satisfaction
and happiness. There is a strong association between life satisfaction,
joy, and external parameters, including environmental and
socioeconomic factors and green innovation technologies. Marx’s
theory on life satisfaction provides an exciting insight and defines
that economic resources are necessary to live comfortably. The
core objective of this paper is to examine the effects of contributing
parameters concerning life satisfaction and happiness (LSH)
in China from 2005 to 2020. For this purpose, data collected for
the dependent variable collect World Happiness Index and World
Bank official website. Nine independent variables related to LSH
discuss freedom to make life choices (FMLC); GDP growth; Social
contribution (SC); Employment rate (ER); Social support (SS);
Innovation and development (ID); Life expectancy (LE); Coverage
of social safety (CSS); High qualification (HQ). The maximum LSH
value is 5.77, with a mean value of 5.13. The highest coefficient
correlation value with LSH is CO2, with a positive correlation coefficient
value of 0.80, followed by GDPG, with a negative coefficient
value of 0.80. PC1 explains 76.74% of results, whereas MLR
produces 0.91 R2 (p-value: 0.093, Residual standard error: 0.181).
There is a need to understand correlates and determinants in further
detail to set up a framework that enables policy-makers to
incorporate well-being and life satisfaction measures in carving
new public policies.
Ključne riječi
Life satisfaction and happiness; green innovation technologies; social contribution; social support; environmental and socioeconomic factors
Hrčak ID:
306477
URI
Datum izdavanja:
31.3.2023.
Posjeta: 433 *