Detecting influences of factors on GDP density differentiation of rural poverty changes

Guangjie Wang and Wenfu Peng

Structural Change and Economic Dynamics, 2021, vol. 56, issue C, 141-151

Abstract: We use geographical detectors to quantify the interactive influence of impact factors on gross domestic product (GDP) density changes on rural poverty, for identifying the differentiation mechanism in rural poverty. The optimal characteristics of the main factors that benefit GDP density growth were determined. We proposed poverty alleviation policies and measures for different types of poverty-stricken regions. Distance to main roads, the normalised differential vegetation index (NDVI), land use, average annual temperature, and elevation can satisfactorily account for GDP density changes in rural poverty. Impact factors have an interactive influence on GDP density. The synergistic effect of impact factors manifests itself as mutual enhancement and nonlinear enhancement, and the interaction of two impact factors strengthens the influence of each individual factor. We revealed the poverty differentiation mechanisms of economic development in poverty villages,and put forward targeted poverty alleviation measures with stratified guidance and key breakthroughs.

Keywords: GDP density; Poor villages; Dominant factors; Tibetan region; Geographical detector (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:streco:v:56:y:2021:i:c:p:141-151

DOI: 10.1016/j.strueco.2020.10.004

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