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Spatial differentiation of the impact of transport accessibility on the multidimensional poverty of rural households in karst mountain areas

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Abstract

Transportation facilities are crucial prerequisite for enhancing economic development. In karst mountain areas, poverty of peasant households is multifaceted. Elucidating the characteristics of transportation accessibility and multidimensional poverty of peasant households is a crucial basis for combating poverty. Based on the cost–distance weighting method to evaluate the transport accessibility of farmers in the demonstration area, we constructed a sustainable livelihood framework for farmers in the demonstration area to examine the multidimensional poverty of farmers. Then, we used the geographic weighted regression model to explore the spatial differentiation characteristics of transport accessibility and multidimensional poverty. Farmers with high accessibility were primarily distributed near the village committee residents or on both sides of the road, while farmers with low accessibility were primarily located in areas with large slopes and no access roads or access roads but poor road connectivity. In addition, farmers in the demonstration area were usually short of natural capital, the spatial distribution of material capital poverty was notable, the overall poverty value of financial capital was high, the overall human capital was stable, the poverty value of social capital was markedly different, and high and low values interspersed each villager group. Besides, the multidimensional poverty value of farmers in the demonstration area was low (0.2714), which alternated in space and had no significant law. The poverty dimension of farmers in the demonstration area was 2.8242, demonstrating the spatial comparison of Huajiang town north of Beipanjiang in space. We assessed the impact of accessibility on multidimensional poverty of peasant households. The sample of promoting peasant households was marginally lower than that of restrictive peasant households. Besides, the spatial differentiation was characterized by the promotion of villager groups mostly distributed in Wuli village, Xiagu village, and Bashan village in the northern part of the demonstration area. Moreover, the villager group was primarily distributed in non-karst Mugong villages and Yindongwan village, Taiping village, and Chaeryan village in Fengcong depression. Using the quantitative measurement of transportation accessibility and multidimensional poverty and spatial heterogeneity research, we elucidated the measurement methods of transportation accessibility and multidimensional poverty, as well as their spatial differentiation rules, which have crucial practical significance for the formulation of regional anti-poverty policies.

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Funding

Authors acknowledge support from the National Natural Science Foundation of China-41661088, jointly funded by High-level Innovative Talents Training Program in Guizhou Province-2016-5674, jointly funded Science and Technology Plan Program in Guizhou Province-2017–5726-57, jointly funded Guizhou Province Graduate Education Innovation Program-YJSCXJH[2019]046.

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Authors and Affiliations

  1. School of Geography and Environmental Science/Institute of Karst Science, Guizhou Normal University, Guiyang, 550001, China

    Changli Zhu, Zhongfa Zhou, Guoxuan Ma & Linjiang Yin

  2. The State Key Laboratory Incubation Base for Karst Mountain Ecology Environment of Guizhou Province, Guiyang, 550001, China

    Changli Zhu & Zhongfa Zhou

  3. State Engineering Technology Institute for Karst Desertification Control, Guiyang, 550001, China

    Guoxuan Ma & Linjiang Yin

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  1. Changli Zhu
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  2. Zhongfa Zhou
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Contributions

Changli Zhu and Zhongfa Zhou designed the study, processed the data and gave comments and suggestions on the manuscript. All authors contributed to the results, related discussions and manuscript writing.

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Correspondence to Zhongfa Zhou.

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Zhu, C., Zhou, Z., Ma, G. et al. Spatial differentiation of the impact of transport accessibility on the multidimensional poverty of rural households in karst mountain areas. Environ Dev Sustain 24, 3863–3883 (2022). https://doi.org/10.1007/s10668-021-01591-x

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