Spatio-Temporal Synergy between Urban Built-Up Areas and Poverty Transformation in Tibet

Yiting Su, Jing Li, Dongchuan Wang, Jiabao Yue and Xingguang Yan
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Yiting Su: College of Geoscience and Surveying Engineering, China University of Mining and Technology-Beijing, Beijing 100083, China
Jing Li: College of Geoscience and Surveying Engineering, China University of Mining and Technology-Beijing, Beijing 100083, China
Dongchuan Wang: School of Geology and Geomatics, Tianjin Chengjian University, Tianjin 300384, China
Jiabao Yue: College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China
Xingguang Yan: College of Geoscience and Surveying Engineering, China University of Mining and Technology-Beijing, Beijing 100083, China

Sustainability, 2022, vol. 14, issue 14, 1-22

Abstract: Understanding the causes of poverty and identifying the transformation characteristics of poverty is the basis for achieving poverty eradication. In order to clarify the availability of construction land for poverty assessment, this paper explores the spatio-temporal synergy between urban built-up areas and poverty transformation in Tibet. The following conclusions are drawn: (1) the built-up areas in Tibetan counties have been growing from 2013 to 2019; (2) the proportion of counties with very low and low levels of relative poverty have decreased significantly, and the overall spatial characteristics of poverty are “high in the center and low in the surroundings”; (3) the overall coupling-coordination level between the built-up areas and the relative poverty level is gradually improving from the initial antagonism, and the relative-poverty index shows a significant negative correlation with coupling coordination (correlation coefficient of −0.63); and (4) the built-up area has a strong explanatory power for the spatial distribution of regional relative-poverty transfer compared to temperature, precipitation, elevation, and slope. The results of the study prove that the built-up area cannot be directly used as an indicator factor when constructing the multidimensional relative-poverty model and, instead, should use urban built-up areas by region to participate in poverty-estimation models based on regional economic development.

Keywords: Tibet; urban built-up area; relative poverty; coupling coordination; spatio-temporal synergy (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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