Quantifying and categorizing development paths of poverty-elimination counties in China: Based on the perspective of population-land-industry
China has achieved the poverty reduction goal of the United Nations 2030 Agenda for Sustainable Development 10 years ahead of schedule, contributing significantly to global poverty reduction. Despite extended efforts in poverty elimination, there is a lack of quantitative studies categorizing and co...
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Elsevier
2025-04-01
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| Series: | Geography and Sustainability |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666683924000713 |
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| author | Qianxi Zhang Zhi Cao Sixin Su Xuanchang Zhang |
| author_facet | Qianxi Zhang Zhi Cao Sixin Su Xuanchang Zhang |
| author_sort | Qianxi Zhang |
| collection | DOAJ |
| description | China has achieved the poverty reduction goal of the United Nations 2030 Agenda for Sustainable Development 10 years ahead of schedule, contributing significantly to global poverty reduction. Despite extended efforts in poverty elimination, there is a lack of quantitative studies categorizing and comparing poverty-elimination counties (PECs) based on their processes. This study proposes an innovative framework for analyzing PECs’ development paths from the perspective of population-land-industry (PLI). We quantify the PLI matching degree of PECs in China during the critical phase of the battle against poverty through a multivariate matching model, classify PECs via K-means clustering according to the consistency in PLI matching degree evolution, and summarize the typical development patterns of PECs. Results indicate that the PLI matching degree of PECs in China increased substantially from 2015 to 2020, particularly in eastern areas, while the western region, including the Qinghai-Xizang Plateau and southwestern Xinjiang, shows untapped potential for improvement. Five types of PECs are identified, with the majority (30.1 %) showing sustained moderate PLI matching and a minority (9.6 %) experiencing long-term PLI mismatch. Industry is the shortfall of various PECs, and effective strategies to facilitate all types of PECs include the development of emerging businesses and the expansion of secondary and tertiary industries. Additionally, enriching rural labor force and increasing farmland use efficiency are essential for optimal PLI matching and positive interaction, ultimately ensuring poverty elimination and sustainable development. |
| format | Article |
| id | doaj-art-65fab7e99bae4c76a01a570127c9c67f |
| institution | DOAJ |
| issn | 2666-6839 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Geography and Sustainability |
| spelling | doaj-art-65fab7e99bae4c76a01a570127c9c67f2025-08-20T03:17:47ZengElsevierGeography and Sustainability2666-68392025-04-016210021810.1016/j.geosus.2024.07.009Quantifying and categorizing development paths of poverty-elimination counties in China: Based on the perspective of population-land-industryQianxi Zhang0Zhi Cao1Sixin Su2Xuanchang Zhang3Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China; Key Laboratory of Regional Sustainable Development Modeling, Chinese Academy of Sciences, Beijing, 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, ChinaInstitute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China; Key Laboratory of Regional Sustainable Development Modeling, Chinese Academy of Sciences, Beijing, 100101, China; Corresponding authors.Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China; Key Laboratory of Regional Sustainable Development Modeling, Chinese Academy of Sciences, Beijing, 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, ChinaInstitute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China; Key Laboratory of Regional Sustainable Development Modeling, Chinese Academy of Sciences, Beijing, 100101, China; Corresponding authors.China has achieved the poverty reduction goal of the United Nations 2030 Agenda for Sustainable Development 10 years ahead of schedule, contributing significantly to global poverty reduction. Despite extended efforts in poverty elimination, there is a lack of quantitative studies categorizing and comparing poverty-elimination counties (PECs) based on their processes. This study proposes an innovative framework for analyzing PECs’ development paths from the perspective of population-land-industry (PLI). We quantify the PLI matching degree of PECs in China during the critical phase of the battle against poverty through a multivariate matching model, classify PECs via K-means clustering according to the consistency in PLI matching degree evolution, and summarize the typical development patterns of PECs. Results indicate that the PLI matching degree of PECs in China increased substantially from 2015 to 2020, particularly in eastern areas, while the western region, including the Qinghai-Xizang Plateau and southwestern Xinjiang, shows untapped potential for improvement. Five types of PECs are identified, with the majority (30.1 %) showing sustained moderate PLI matching and a minority (9.6 %) experiencing long-term PLI mismatch. Industry is the shortfall of various PECs, and effective strategies to facilitate all types of PECs include the development of emerging businesses and the expansion of secondary and tertiary industries. Additionally, enriching rural labor force and increasing farmland use efficiency are essential for optimal PLI matching and positive interaction, ultimately ensuring poverty elimination and sustainable development.http://www.sciencedirect.com/science/article/pii/S2666683924000713Poverty eliminationMultivariate matching modelSpatial patternSustainable development patternsSustainable Development Goals |
| spellingShingle | Qianxi Zhang Zhi Cao Sixin Su Xuanchang Zhang Quantifying and categorizing development paths of poverty-elimination counties in China: Based on the perspective of population-land-industry Geography and Sustainability Poverty elimination Multivariate matching model Spatial pattern Sustainable development patterns Sustainable Development Goals |
| title | Quantifying and categorizing development paths of poverty-elimination counties in China: Based on the perspective of population-land-industry |
| title_full | Quantifying and categorizing development paths of poverty-elimination counties in China: Based on the perspective of population-land-industry |
| title_fullStr | Quantifying and categorizing development paths of poverty-elimination counties in China: Based on the perspective of population-land-industry |
| title_full_unstemmed | Quantifying and categorizing development paths of poverty-elimination counties in China: Based on the perspective of population-land-industry |
| title_short | Quantifying and categorizing development paths of poverty-elimination counties in China: Based on the perspective of population-land-industry |
| title_sort | quantifying and categorizing development paths of poverty elimination counties in china based on the perspective of population land industry |
| topic | Poverty elimination Multivariate matching model Spatial pattern Sustainable development patterns Sustainable Development Goals |
| url | http://www.sciencedirect.com/science/article/pii/S2666683924000713 |
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