Study on Spatial Pattern and Spatial Coupling with Geographical Environment of Key Villages for Rural Revitalization in Hunan Province

Chen Ying; Yang Bo; Yuan Huifang; Zou Xiaoyan

doi:doi:10.11648/j.si.20231101.12

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Study on Spatial Pattern and Spatial Coupling with Geographical Environment of Key Villages for Rural Revitalization in Hunan Province

Chen Ying, Yang Bo, Yuan Huifang, Zou Xiaoyan

Published in Science Innovation (Volume 11, Issue 1)

Received: 8 December 2022 Accepted: 12 January 2023 Published: 17 January 2023

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Abstract

After China's comprehensive poverty alleviation in 2020, key villages for rural revitalization have become key areas of follow-up rural revitalization work. Objective analysis of KAVRR (Key Assistance Villages for Rural Revitalization) poverty geographical pattern, and verify whether there is a spatial coupling relationship between poverty pattern and geographical environment, so as to further consolidate the space coupling connection between targeted poverty alleviation and rural revitalization. In this paper, 2307 KAVRRs published by Hunan Provincial Poverty Alleviation Office were selected as the research objects. The spatial distribution of key KAVRR was quantitatively analyzed from three aspects. The coupling relationship between KAVRR spatial pattern and geographical environment was verified from six aspects. Draw the following conclusions: 1) The nearest neighbor index of KAVRR in Hunan province is 0.82, indicating obvious spatial aggregation. At the municipal level, changsha-Zhuzhou-Xiangtan tended to be uniformly distributed, while other cities tended to be agglomerated. 2) The spatial distribution of KAVRR varies in different urban areas. More than 60% of KAVRR is concentrated in Shaoyang, Huaihua, Xiangxi Tujia Autonomous Prefecture, Yongzhou and Loudi. 3) In the analysis of influencing factors, the geographical location characteristics of KAVRR, hydrological conditions, geographical location characteristics, accessibility of public service facilities, such as education and medical resources, are highly coupled with the spatial distribution of assistance. Different influencing factors have different influencing mechanisms, but the final spatial layout is the result of interaction and coupling of geographical environment elements.

Published in	Science Innovation (Volume 11, Issue 1)
DOI	10.11648/j.si.20231101.12
Page(s)	8-15
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Key Villages for Rural Revitalization, Spatial Distribution of Poverty, Coupling of Geographical Environment, Rural Revitalization, GIS, Hunan Province

References

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APA Style

Chen Ying, Yang Bo, Yuan Huifang, Zou Xiaoyan. (2023). Study on Spatial Pattern and Spatial Coupling with Geographical Environment of Key Villages for Rural Revitalization in Hunan Province. Science Innovation, 11(1), 8-15. https://doi.org/10.11648/j.si.20231101.12

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ACS Style

Chen Ying; Yang Bo; Yuan Huifang; Zou Xiaoyan. Study on Spatial Pattern and Spatial Coupling with Geographical Environment of Key Villages for Rural Revitalization in Hunan Province. Sci. Innov. 2023, 11(1), 8-15. doi: 10.11648/j.si.20231101.12

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AMA Style

Chen Ying, Yang Bo, Yuan Huifang, Zou Xiaoyan. Study on Spatial Pattern and Spatial Coupling with Geographical Environment of Key Villages for Rural Revitalization in Hunan Province. Sci Innov. 2023;11(1):8-15. doi: 10.11648/j.si.20231101.12

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@article{10.11648/j.si.20231101.12,
  author = {Chen Ying and Yang Bo and Yuan Huifang and Zou Xiaoyan},
  title = {Study on Spatial Pattern and Spatial Coupling with Geographical Environment of Key Villages for Rural Revitalization in Hunan Province},
  journal = {Science Innovation},
  volume = {11},
  number = {1},
  pages = {8-15},
  doi = {10.11648/j.si.20231101.12},
  url = {https://doi.org/10.11648/j.si.20231101.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.si.20231101.12},
  abstract = {After China's comprehensive poverty alleviation in 2020, key villages for rural revitalization have become key areas of follow-up rural revitalization work. Objective analysis of KAVRR (Key Assistance Villages for Rural Revitalization) poverty geographical pattern, and verify whether there is a spatial coupling relationship between poverty pattern and geographical environment, so as to further consolidate the space coupling connection between targeted poverty alleviation and rural revitalization. In this paper, 2307 KAVRRs published by Hunan Provincial Poverty Alleviation Office were selected as the research objects. The spatial distribution of key KAVRR was quantitatively analyzed from three aspects. The coupling relationship between KAVRR spatial pattern and geographical environment was verified from six aspects. Draw the following conclusions: 1) The nearest neighbor index of KAVRR in Hunan province is 0.82, indicating obvious spatial aggregation. At the municipal level, changsha-Zhuzhou-Xiangtan tended to be uniformly distributed, while other cities tended to be agglomerated. 2) The spatial distribution of KAVRR varies in different urban areas. More than 60% of KAVRR is concentrated in Shaoyang, Huaihua, Xiangxi Tujia Autonomous Prefecture, Yongzhou and Loudi. 3) In the analysis of influencing factors, the geographical location characteristics of KAVRR, hydrological conditions, geographical location characteristics, accessibility of public service facilities, such as education and medical resources, are highly coupled with the spatial distribution of assistance. Different influencing factors have different influencing mechanisms, but the final spatial layout is the result of interaction and coupling of geographical environment elements.},
 year = {2023}
}

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TY  - JOUR
T1  - Study on Spatial Pattern and Spatial Coupling with Geographical Environment of Key Villages for Rural Revitalization in Hunan Province
AU  - Chen Ying
AU  - Yang Bo
AU  - Yuan Huifang
AU  - Zou Xiaoyan
Y1  - 2023/01/17
PY  - 2023
N1  - https://doi.org/10.11648/j.si.20231101.12
DO  - 10.11648/j.si.20231101.12
T2  - Science Innovation
JF  - Science Innovation
JO  - Science Innovation
SP  - 8
EP  - 15
PB  - Science Publishing Group
SN  - 2328-787X
UR  - https://doi.org/10.11648/j.si.20231101.12
AB  - After China's comprehensive poverty alleviation in 2020, key villages for rural revitalization have become key areas of follow-up rural revitalization work. Objective analysis of KAVRR (Key Assistance Villages for Rural Revitalization) poverty geographical pattern, and verify whether there is a spatial coupling relationship between poverty pattern and geographical environment, so as to further consolidate the space coupling connection between targeted poverty alleviation and rural revitalization. In this paper, 2307 KAVRRs published by Hunan Provincial Poverty Alleviation Office were selected as the research objects. The spatial distribution of key KAVRR was quantitatively analyzed from three aspects. The coupling relationship between KAVRR spatial pattern and geographical environment was verified from six aspects. Draw the following conclusions: 1) The nearest neighbor index of KAVRR in Hunan province is 0.82, indicating obvious spatial aggregation. At the municipal level, changsha-Zhuzhou-Xiangtan tended to be uniformly distributed, while other cities tended to be agglomerated. 2) The spatial distribution of KAVRR varies in different urban areas. More than 60% of KAVRR is concentrated in Shaoyang, Huaihua, Xiangxi Tujia Autonomous Prefecture, Yongzhou and Loudi. 3) In the analysis of influencing factors, the geographical location characteristics of KAVRR, hydrological conditions, geographical location characteristics, accessibility of public service facilities, such as education and medical resources, are highly coupled with the spatial distribution of assistance. Different influencing factors have different influencing mechanisms, but the final spatial layout is the result of interaction and coupling of geographical environment elements.
VL  - 11
IS  - 1
ER  -

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Author Information

Chen Ying

College of Resources and Environmental Sciences, Hunan Normal University, Changsha, China
Yang Bo

College of Resources and Environmental Sciences, Hunan Normal University, Changsha, China
Yuan Huifang

College of Resources and Environmental Sciences, Hunan Normal University, Changsha, China
Zou Xiaoyan

College of Resources and Environmental Sciences, Hunan Normal University, Changsha, China

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APA Style

Chen Ying, Yang Bo, Yuan Huifang, Zou Xiaoyan. (2023). Study on Spatial Pattern and Spatial Coupling with Geographical Environment of Key Villages for Rural Revitalization in Hunan Province. Science Innovation, 11(1), 8-15. https://doi.org/10.11648/j.si.20231101.12

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ACS Style

Chen Ying; Yang Bo; Yuan Huifang; Zou Xiaoyan. Study on Spatial Pattern and Spatial Coupling with Geographical Environment of Key Villages for Rural Revitalization in Hunan Province. Sci. Innov. 2023, 11(1), 8-15. doi: 10.11648/j.si.20231101.12

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AMA Style

Chen Ying, Yang Bo, Yuan Huifang, Zou Xiaoyan. Study on Spatial Pattern and Spatial Coupling with Geographical Environment of Key Villages for Rural Revitalization in Hunan Province. Sci Innov. 2023;11(1):8-15. doi: 10.11648/j.si.20231101.12

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@article{10.11648/j.si.20231101.12,
  author = {Chen Ying and Yang Bo and Yuan Huifang and Zou Xiaoyan},
  title = {Study on Spatial Pattern and Spatial Coupling with Geographical Environment of Key Villages for Rural Revitalization in Hunan Province},
  journal = {Science Innovation},
  volume = {11},
  number = {1},
  pages = {8-15},
  doi = {10.11648/j.si.20231101.12},
  url = {https://doi.org/10.11648/j.si.20231101.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.si.20231101.12},
  abstract = {After China's comprehensive poverty alleviation in 2020, key villages for rural revitalization have become key areas of follow-up rural revitalization work. Objective analysis of KAVRR (Key Assistance Villages for Rural Revitalization) poverty geographical pattern, and verify whether there is a spatial coupling relationship between poverty pattern and geographical environment, so as to further consolidate the space coupling connection between targeted poverty alleviation and rural revitalization. In this paper, 2307 KAVRRs published by Hunan Provincial Poverty Alleviation Office were selected as the research objects. The spatial distribution of key KAVRR was quantitatively analyzed from three aspects. The coupling relationship between KAVRR spatial pattern and geographical environment was verified from six aspects. Draw the following conclusions: 1) The nearest neighbor index of KAVRR in Hunan province is 0.82, indicating obvious spatial aggregation. At the municipal level, changsha-Zhuzhou-Xiangtan tended to be uniformly distributed, while other cities tended to be agglomerated. 2) The spatial distribution of KAVRR varies in different urban areas. More than 60% of KAVRR is concentrated in Shaoyang, Huaihua, Xiangxi Tujia Autonomous Prefecture, Yongzhou and Loudi. 3) In the analysis of influencing factors, the geographical location characteristics of KAVRR, hydrological conditions, geographical location characteristics, accessibility of public service facilities, such as education and medical resources, are highly coupled with the spatial distribution of assistance. Different influencing factors have different influencing mechanisms, but the final spatial layout is the result of interaction and coupling of geographical environment elements.},
 year = {2023}
}

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TY  - JOUR
T1  - Study on Spatial Pattern and Spatial Coupling with Geographical Environment of Key Villages for Rural Revitalization in Hunan Province
AU  - Chen Ying
AU  - Yang Bo
AU  - Yuan Huifang
AU  - Zou Xiaoyan
Y1  - 2023/01/17
PY  - 2023
N1  - https://doi.org/10.11648/j.si.20231101.12
DO  - 10.11648/j.si.20231101.12
T2  - Science Innovation
JF  - Science Innovation
JO  - Science Innovation
SP  - 8
EP  - 15
PB  - Science Publishing Group
SN  - 2328-787X
UR  - https://doi.org/10.11648/j.si.20231101.12
AB  - After China's comprehensive poverty alleviation in 2020, key villages for rural revitalization have become key areas of follow-up rural revitalization work. Objective analysis of KAVRR (Key Assistance Villages for Rural Revitalization) poverty geographical pattern, and verify whether there is a spatial coupling relationship between poverty pattern and geographical environment, so as to further consolidate the space coupling connection between targeted poverty alleviation and rural revitalization. In this paper, 2307 KAVRRs published by Hunan Provincial Poverty Alleviation Office were selected as the research objects. The spatial distribution of key KAVRR was quantitatively analyzed from three aspects. The coupling relationship between KAVRR spatial pattern and geographical environment was verified from six aspects. Draw the following conclusions: 1) The nearest neighbor index of KAVRR in Hunan province is 0.82, indicating obvious spatial aggregation. At the municipal level, changsha-Zhuzhou-Xiangtan tended to be uniformly distributed, while other cities tended to be agglomerated. 2) The spatial distribution of KAVRR varies in different urban areas. More than 60% of KAVRR is concentrated in Shaoyang, Huaihua, Xiangxi Tujia Autonomous Prefecture, Yongzhou and Loudi. 3) In the analysis of influencing factors, the geographical location characteristics of KAVRR, hydrological conditions, geographical location characteristics, accessibility of public service facilities, such as education and medical resources, are highly coupled with the spatial distribution of assistance. Different influencing factors have different influencing mechanisms, but the final spatial layout is the result of interaction and coupling of geographical environment elements.
VL  - 11
IS  - 1
ER  -

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