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Articles

Effects of individual and community-level environment components on the subjective well-being of poverty alleviation migrants: the case in Guizhou, China

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Pages 622-631 | Received 08 May 2021, Accepted 03 Jul 2021, Published online: 21 Jul 2021
 

ABSTRACT

Subjective well-being (SWB) is closely related to people’s health especially in the post stages of migration. China completed the poverty alleviation relocation (PAR) of 9.6 million people from 2016 to 2020. In the post-migration stage, the changes appearing on the poverty alleviation migrants’(PAM) perception of the environment and the factors affecting their SWB are both worthy of attention, however, there are few current studies. Landsenses ecology is a science that focuses on the relationship between human perception and the environment. Therefore, based on this existing theoretical framework, this article evaluates the SWB of PAMs and establishes a residential environmental perception evaluation system for PAMs to evaluate their landsense level, then evaluates the environment of the resettlement community, using a hierarchical regression model to analyze the impact of PAMs’ landsense level and community environment on their SWB. The results show that the score of PAMs’ SWB is above the neutral level, but improvement is needed in the affection dimension. Also, there is still room to improve PAMs’ landsense level especially in psychological perceptions. Also, we found psychological perceptions and interpretation of the physical setting at the individual level, and community environment at the community level all have a positive effect on SWB, but interaction effect between the community environment and the individual landsense is not verified. Based on this, this article puts forward policy recommendations for the improvement of PAMs’ SWB, their landsense level, and landsense creation of communities, also for the sustainable development of cities and reference for global PAR.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was supported by National Key R&D Program of China (2018YFD1100303);

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