Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023)

Calculating and Classifying Agricultural Land Consolidation Based on Planning Guidance Rules and the Constraints of Arable Land Quality

Authors
Leihan Cui1, Sibo Yang1, Bo Xu1, *
1Heilongjiang Provincial Research Institute of Spatial Planning China, Harbin, China
*Corresponding author. Email: Chandler_xu@foxmail.com
Corresponding Author
Bo Xu
Available Online 9 October 2023.
DOI
10.2991/978-94-6463-256-9_132How to use a DOI?
Keywords
Agricultural land consolidation; Quantitative potential; Quality potential; Potential zoning; Planning guidance rules; Yanbian Korean Autonomous Prefecture1
Abstract

Against a background of heavy regulation, estimating and grading the potential benefits of agricultural land consolidation in terms of extent and quality is vital to promote the efficient use of land resources in China. Taking Yanbian Korean Autonomous Prefecture (now referred to as Yanbian Prefecture) as an example, this paper uses the township as an evaluation unit. It analyses the factors that influence agricultural land consolidation potential. It uses a multi-factor evaluation model, an analytic hierarchy process (AHP), and system clustering to establish an adequate mathematical model. We use ArcGIS10.2 and SPSS19.0 to determine the theoretical size and spatial distribution of agricultural land consolidation potential in each township of Yanbian, providing a scientific basis for deciding critical areas for any future real-life agricultural land consolidation. The results showed that the potential for agricultural land consolidation in Yanbian Prefecture was very high: the place of arable land was 11777.34 ha, with the prospect of 475324.13 × 103kg. We divided Yanbian Prefecture into four areas with varying potentiality. Still, mainly II-level and III-level potential areas, and our conclusions are that the authorities should focus on improving the quality of arable land and optimizing its layout according to the calculation results provided here. The basic idea underlying the paper, and especially the calculation method, could guide national agricultural land consolidation in the future, provide technical support and optimize the chances for its success.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023)
Series
Advances in Economics, Business and Management Research
Publication Date
9 October 2023
ISBN
978-94-6463-256-9
ISSN
2352-5428
DOI
10.2991/978-94-6463-256-9_132How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Leihan Cui
AU  - Sibo Yang
AU  - Bo Xu
PY  - 2023
DA  - 2023/10/09
TI  - Calculating and Classifying Agricultural Land Consolidation Based on Planning Guidance Rules and the Constraints of Arable Land Quality
BT  - Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023)
PB  - Atlantis Press
SP  - 1296
EP  - 1313
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-256-9_132
DO  - 10.2991/978-94-6463-256-9_132
ID  - Cui2023
ER  -