» Articles » PMID: 36612514

Do Resettled People Adapt to Their Current Geographical Environment? Evidence from Poverty-Stricken Areas of Northwest Yunnan Province, China

Overview
Publisher MDPI
Date 2023 Jan 8
PMID 36612514
Authors
Affiliations
Soon will be listed here.
Abstract

The geographical environment adaptation of the resettled population is a deep-seated problem that determines whether the goal of the poverty alleviation resettlement (PAR) policy can be achieved. Scientific assessment of adaptive capacity (AC) and adaptation level (AL) provides a basis for subsequent policy formulation, which is of practical significance. This study took the poverty-stricken areas of northwest Yunnan as the study area and calculated the adaptive capacity index (ACI) and adaptation level index (ALI) based on survey data of 1002 resettled households and regional socioeconomic statistics by constructing the vulnerability as expected poverty (VEP) model and multi-factor analysis model. The results showed that (1) The ACI and ALI were 0.660 and 61.2 respectively, indicating that the resettled population has obvious environment adaptation barriers and a relatively high risk of returning to poverty. (2) The AC and AL of the resettled population had significant geographical differentiation. In general, Diqing Prefecture was significantly better than Nujiang Prefecture and the problems in Gongshan County, Fugong County and Lanping County were more prominent. (3) AC is a determinant of AL. However, these two indices in Gongshan and Lanping counties deviated from the general trend due to different policy effects. Based on the evaluation results and differentiation mechanism analysis, the study finally emphasized the importance of formulating and implementing the follow-up development plan of the resettled population and put forward measures to promote the resettled population to adapt to the geographical environment around the three core tasks of employment income increase, public service and bottom guarantee.

References
1.
Kitano H . Systems biology: a brief overview. Science. 2002; 295(5560):1662-4. DOI: 10.1126/science.1069492. View

2.
Liu M, Rao D, Yang L, Min Q . Subsidy, training or material supply? The impact path of eco-compensation method on farmers' livelihood assets. J Environ Manage. 2021; 287:112339. DOI: 10.1016/j.jenvman.2021.112339. View

3.
Obokata R, Veronis L, McLeman R . Empirical research on international environmental migration: a systematic review. Popul Environ. 2014; 36:111-135. PMC: 4131126. DOI: 10.1007/s11111-014-0210-7. View

4.
Qin B, Yu Y, Ge L, Yang L, Guo Y . Does Eco-Compensation Alleviate Rural Poverty? New Evidence from National Key Ecological Function Areas in China. Int J Environ Res Public Health. 2022; 19(17). PMC: 9518322. DOI: 10.3390/ijerph191710899. View

5.
Nguyen K, Liou Y, Terry J . Vulnerability of Vietnam to typhoons: A spatial assessment based on hazards, exposure and adaptive capacity. Sci Total Environ. 2019; 682:31-46. DOI: 10.1016/j.scitotenv.2019.04.069. View