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MA Zhenbang, CHEN Xingpeng, CHEN Huan. Multi-scale Spatial Patterns and Influencing Factors of Rural Poverty: A Case Study in the Liupan Mountain Region, Gansu Province, China[J]. Chinese Geographical Science, 2018, 28(2): 296-312. doi: 10.1007/s11769-018-0943-9
Citation: MA Zhenbang, CHEN Xingpeng, CHEN Huan. Multi-scale Spatial Patterns and Influencing Factors of Rural Poverty: A Case Study in the Liupan Mountain Region, Gansu Province, China[J]. Chinese Geographical Science, 2018, 28(2): 296-312. doi: 10.1007/s11769-018-0943-9
shu

Multi-scale Spatial Patterns and Influencing Factors of Rural Poverty: A Case Study in the Liupan Mountain Region, Gansu Province, China

doi: 10.1007/s11769-018-0943-9
  • 1.

    Key Laboratory of Western China's Environmental Systems(Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China;

  • 2.

    Research Institute for Circular Economy in Western China, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China;

  • 3.

    Belle W. Baruch Institute of coastal Ecology and Forest Science, Clemson University, South Carolina 29442, United States

Funds:  Under the auspices of National Natural Science Foundation of China (No. 41401204, 41471462), Fundamental Research Funds for the Central Universities (No. lzujbky-2013-128)
More Information
  • Corresponding author: MA Zhenbang.E-mail:zbma@lzu.edu.cn
  • Received Date: 2017-05-10
  • Rev Recd Date: 2017-09-08
  • Publish Date: 2018-04-27
  • The important role of spatial scale in exploring the geography of poverty as well as its policy implications has been noticed but with limited knowledge. To improve such limited understanding, we mainly investigated the spatial patterns and influencing factors of rural poverty (indicated by poor population and poverty incidence) at three different administrative levels in the Liupan Mountain Region, one of the fourteen poorest regions in China. Our results show that from a global perspective, poor areas are clustered significantly at the county-, township-, and village-level, and more greatly at a lower level. Locally, there is spatial mismatch among poverty hotspots detected not only by the same indicator at different levels but also by different indicators at the same level. A scale effect can be found in the influencing factors of rural poverty. That is, the number of significant factors increases, but the degree of their association with poverty incidence decreases at a lower level. Such scale effect indicates that poverty incidence at lower levels may be affected by more complex factors, including not only the new local ones but also the already appeared non-local ones at higher levels. However, the natural conditions tend to play a scale-independent role to poverty incidence. In response to such scale-dependent patterns and factors, anti-poverty policies can be 1) a multilevel monitoring system to reduce incomplete or even misleading single-level information and understanding; 2) the village-based targeting strategy to increase the targeting efficiency and alleviate the mentioned spatial mismatch; 3) more flexible strategies responding to the local impoverishing factors, and 4) different task emphasises for multilevel policymakers to achieve the common goal of poverty reduction.
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Multi-scale Spatial Patterns and Influencing Factors of Rural Poverty: A Case Study in the Liupan Mountain Region, Gansu Province, China

doi: 10.1007/s11769-018-0943-9
  • 1. Key Laboratory of Western China's Environmental Systems(Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China;
  • 2. Research Institute for Circular Economy in Western China, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China;
  • 3. Belle W. Baruch Institute of coastal Ecology and Forest Science, Clemson University, South Carolina 29442, United States
Funds:  Under the auspices of National Natural Science Foundation of China (No. 41401204, 41471462), Fundamental Research Funds for the Central Universities (No. lzujbky-2013-128)
    Corresponding author: MA Zhenbang.E-mail:zbma@lzu.edu.cn
  • Received Date: 2017-05-10
  • Rev Recd Date: 2017-09-08
  • Publish Date: 2018-04-27

Abstract: The important role of spatial scale in exploring the geography of poverty as well as its policy implications has been noticed but with limited knowledge. To improve such limited understanding, we mainly investigated the spatial patterns and influencing factors of rural poverty (indicated by poor population and poverty incidence) at three different administrative levels in the Liupan Mountain Region, one of the fourteen poorest regions in China. Our results show that from a global perspective, poor areas are clustered significantly at the county-, township-, and village-level, and more greatly at a lower level. Locally, there is spatial mismatch among poverty hotspots detected not only by the same indicator at different levels but also by different indicators at the same level. A scale effect can be found in the influencing factors of rural poverty. That is, the number of significant factors increases, but the degree of their association with poverty incidence decreases at a lower level. Such scale effect indicates that poverty incidence at lower levels may be affected by more complex factors, including not only the new local ones but also the already appeared non-local ones at higher levels. However, the natural conditions tend to play a scale-independent role to poverty incidence. In response to such scale-dependent patterns and factors, anti-poverty policies can be 1) a multilevel monitoring system to reduce incomplete or even misleading single-level information and understanding; 2) the village-based targeting strategy to increase the targeting efficiency and alleviate the mentioned spatial mismatch; 3) more flexible strategies responding to the local impoverishing factors, and 4) different task emphasises for multilevel policymakers to achieve the common goal of poverty reduction.

MA Zhenbang, CHEN Xingpeng, CHEN Huan. Multi-scale Spatial Patterns and Influencing Factors of Rural Poverty: A Case Study in the Liupan Mountain Region, Gansu Province, China[J]. Chinese Geographical Science, 2018, 28(2): 296-312. doi: 10.1007/s11769-018-0943-9
Citation: MA Zhenbang, CHEN Xingpeng, CHEN Huan. Multi-scale Spatial Patterns and Influencing Factors of Rural Poverty: A Case Study in the Liupan Mountain Region, Gansu Province, China[J]. Chinese Geographical Science, 2018, 28(2): 296-312. doi: 10.1007/s11769-018-0943-9
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