Achieving sustainable development goals: coupling coordination between agricultural industrialization and rural infrastructure with the case of China

Abstract Benign coordinated interactions between agricultural industrialization (AI) and rural infrastructure (RI) help achieve sustainable development goals (SDG). However, current studies fail to explicitly explain their coordinated interactions, making SDG less efficient and effective. To fill th...

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Main Authors: Yuqing Geng, Yan Yan, Qinjun Xiang, Naiguang Zhang, Xinlei Yang, Xinying Jiang
Format: Article
Language:English
Published: Springer Nature 2025-07-01
Series:Humanities & Social Sciences Communications
Online Access:https://doi.org/10.1057/s41599-025-05510-7
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author Yuqing Geng
Yan Yan
Qinjun Xiang
Naiguang Zhang
Xinlei Yang
Xinying Jiang
author_facet Yuqing Geng
Yan Yan
Qinjun Xiang
Naiguang Zhang
Xinlei Yang
Xinying Jiang
author_sort Yuqing Geng
collection DOAJ
description Abstract Benign coordinated interactions between agricultural industrialization (AI) and rural infrastructure (RI) help achieve sustainable development goals (SDG). However, current studies fail to explicitly explain their coordinated interactions, making SDG less efficient and effective. To fill the gaps and explore their coupling coordination interactions, we establish a coupling coordination mechanism and an evaluation system to depict their dynamics theoretically. Then, we analyze the development status (D) and coupling coordination status (CCS) temporally and spatially in the case of China with the analytic hierarchy process, information entropy method and the technique for order preference by similarity to an ideal solution (TOPSIS); thirdly, we explore the main influencing factors and propose specific countermeasures based on the factors. We find that (1) AI and RI may not develop concurrently, and 2018 was a watershed year for AI-D as it witnessed apparent fluctuations; (2) better regions in AI-D are dotted while better-performing regions in RI-D are connected; (3) CCS is spatially correlated, and CCS values in different regions vary because of various reasons; (4) “technologicalization” and “mechanization” are critical dimensions to affect RI, while RI is increasingly affecting AI comprehensively. This study contributes to coupling coordination theory in AI and RI, to the coupling coordination practice to achieve SDG, and to enhance sustainability by proposing differentiated countermeasures.
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institution Kabale University
issn 2662-9992
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publishDate 2025-07-01
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spelling doaj-art-c14cc6e10fe54ec296c84ccc05184de12025-08-20T03:42:20ZengSpringer NatureHumanities & Social Sciences Communications2662-99922025-07-0112112810.1057/s41599-025-05510-7Achieving sustainable development goals: coupling coordination between agricultural industrialization and rural infrastructure with the case of ChinaYuqing Geng0Yan Yan1Qinjun Xiang2Naiguang Zhang3Xinlei Yang4Xinying Jiang5School of Business, Shanghai Dianji UniversitySchool of Business, Shanghai Dianji UniversitySchool of Business, Shanghai Dianji UniversitySchool of Business, Shanghai Dianji UniversitySchool of Business, Shanghai Dianji UniversitySchool of Business, Shanghai Dianji UniversityAbstract Benign coordinated interactions between agricultural industrialization (AI) and rural infrastructure (RI) help achieve sustainable development goals (SDG). However, current studies fail to explicitly explain their coordinated interactions, making SDG less efficient and effective. To fill the gaps and explore their coupling coordination interactions, we establish a coupling coordination mechanism and an evaluation system to depict their dynamics theoretically. Then, we analyze the development status (D) and coupling coordination status (CCS) temporally and spatially in the case of China with the analytic hierarchy process, information entropy method and the technique for order preference by similarity to an ideal solution (TOPSIS); thirdly, we explore the main influencing factors and propose specific countermeasures based on the factors. We find that (1) AI and RI may not develop concurrently, and 2018 was a watershed year for AI-D as it witnessed apparent fluctuations; (2) better regions in AI-D are dotted while better-performing regions in RI-D are connected; (3) CCS is spatially correlated, and CCS values in different regions vary because of various reasons; (4) “technologicalization” and “mechanization” are critical dimensions to affect RI, while RI is increasingly affecting AI comprehensively. This study contributes to coupling coordination theory in AI and RI, to the coupling coordination practice to achieve SDG, and to enhance sustainability by proposing differentiated countermeasures.https://doi.org/10.1057/s41599-025-05510-7
spellingShingle Yuqing Geng
Yan Yan
Qinjun Xiang
Naiguang Zhang
Xinlei Yang
Xinying Jiang
Achieving sustainable development goals: coupling coordination between agricultural industrialization and rural infrastructure with the case of China
Humanities & Social Sciences Communications
title Achieving sustainable development goals: coupling coordination between agricultural industrialization and rural infrastructure with the case of China
title_full Achieving sustainable development goals: coupling coordination between agricultural industrialization and rural infrastructure with the case of China
title_fullStr Achieving sustainable development goals: coupling coordination between agricultural industrialization and rural infrastructure with the case of China
title_full_unstemmed Achieving sustainable development goals: coupling coordination between agricultural industrialization and rural infrastructure with the case of China
title_short Achieving sustainable development goals: coupling coordination between agricultural industrialization and rural infrastructure with the case of China
title_sort achieving sustainable development goals coupling coordination between agricultural industrialization and rural infrastructure with the case of china
url https://doi.org/10.1057/s41599-025-05510-7
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