IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0313906.html
   My bibliography  Save this article

Spatial-temporal characteristics and influence factors of high-quality development of animal husbandry industry in China

Author

Listed:
  • Tiantian Su
  • Cuixia Li

Abstract

The animal husbandry industry stands as a pillar of the agricultural sector. According to the defining characteristics of high-quality development in animal husbandry, this paper establishes a comprehensive evaluative indicator system. This system evaluates the quality of development in the industry from 2010 to 2022, including five key dimensions: output efficiency, product safety, resource conservation, environmental friendliness, and the level of scientific and technological &management. Results indicate a positive overall trend in the high-quality development of China’s animal industry throughout this period. Provinces exhibiting the highest average levels of development are, in descending order, Jiangsu, Shanghai, Anhui, Beijing, Fujian, Yunnan, Chongqing, Gansu, Guangdong, and Guangxi. Among these five dimensions, the level of environmental friendliness and the level of scientific and technological &management are better developed, while the level of resource conservation, the level of product safety, and the level of output efficiency are poorly developed. Regional differences have demonstrated a slight narrowing trend; however, the effect of intra-regional differences on the overall differences has remained relatively stable. In contrast, the effect of inter-regional differences on overall differences has gradually reduced, while the effect of hypervariable density has steadily increased, becoming the most significant factor. High-quality development in China’s animal industry exhibits a strong path dependency, with advancements typically occurring incrementally between adjacent levels and an insignificant probability of leapfrogging. The level of high-quality development in a given region is significantly influenced by the development levels observed in neighbouring regions, illustrating a phenomenon akin to the adage that One who is near vermilion is stained red, one who is near ink is stained black. Factors such as urbanisation rates, levels of scientific and technological innovation, transport infrastructure, levels of agricultural financial development, and population density all contribute positively to the high-quality development of China’s animal industry. At the same time, a larger share of animal husbandry in both the overall industrial sector and the agricultural industry further contributes to this high-quality development; whereas, GDP per capita and fiscal support for agriculture do not appear to have a significant effect.

Suggested Citation

  • Tiantian Su & Cuixia Li, 2025. "Spatial-temporal characteristics and influence factors of high-quality development of animal husbandry industry in China," PLOS ONE, Public Library of Science, vol. 20(2), pages 1-35, February.
    • Handle: RePEc:plo:pone00:0313906
    DOI: 10.1371/journal.pone.0313906
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0313906
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0313906&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0313906?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Zhiyang Wang & Sizhong Sun, 2016. "Transportation infrastructure and rural development in China," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 8(3), pages 516-525, September.
    2. Kaiming Cheng & Xinyu Wang & Shucheng Liu & Yanjie Zhuang, 2024. "Spatial differences and dynamic evolution of economic resilience: from the perspective of China’s eight comprehensive economic zones," Economic Change and Restructuring, Springer, vol. 57(2), pages 1-33, April.
    3. Zhou Zhou & Jianqiang Duan & Shaoqing Geng & Ran Li, 2023. "Spatial Network and Driving Factors of Agricultural Green Total Factor Productivity in China," Energies, MDPI, vol. 16(14), pages 1-26, July.
    4. Lingling Zhang & Yufeng Wang & Rahman Dunya, 2023. "How Does Environmental Regulation Affect the Development of China’s Pig Industry," Sustainability, MDPI, vol. 15(10), pages 1-22, May.
    5. Yang Liu & Yanxiang Xie & Kaiyang Zhong, 2024. "Impact of digital economy on urban sustainable development: Evidence from Chinese cities," Sustainable Development, John Wiley & Sons, Ltd., vol. 32(1), pages 307-324, February.
    6. Feng Tao & Huiqin Zhang & Yi Hu & Andrew A. Duncan, 2017. "Growth of Green Total Factor Productivity and Its Determinants of Cities in China: A Spatial Econometric Approach," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 53(9), pages 2123-2140, September.
    7. Shuai Qin & Hong Chen, 2024. "Scientific and Technological Innovation Effects on High-Quality Agricultural Development: Spatial Boundaries and Mechanisms," Agriculture, MDPI, vol. 14(9), pages 1-19, September.
    8. Qi Li & Zhijiao Liu, 2024. "The Spatiotemporal Impact of Digital Economy on High-Quality Agricultural Development: Evidence from China," Sustainability, MDPI, vol. 16(7), pages 1-19, March.
    9. Geng, Yuqing & Liu, Liwen & Chen, Lingyan, 2023. "Rural revitalization of China: A new framework, measurement and forecast," Socio-Economic Planning Sciences, Elsevier, vol. 89(C).
    10. Zhiyang Wang & Sizhong Sun, 2016. "Transportation infrastructure and rural development in China," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 8(3), pages 516-525, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yajun Ma & Zhengyong Yu & Wei Liu & Qiang Ren, 2025. "Exploring the coupling coordination relationship and obstacle factors of rural revitalization, new-type urbanization, and digital economy in China," PLOS ONE, Public Library of Science, vol. 20(1), pages 1-30, January.
    2. Zehua Wang & Fachao Liang & Sheng-Hau Lin, 2023. "Can socially sustainable development be achieved through homestead withdrawal? A hybrid multiple-attributes decision analysis," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-18, December.
    3. Meseret Chanieabate & Hai He & Chuyue Guo & Betelhem Abrahamgeremew & Yuanji Huang, 2023. "Examining the Relationship between Transportation Infrastructure, Urbanization Level and Rural-Urban Income Gap in China," Sustainability, MDPI, vol. 15(10), pages 1-20, May.
    4. Yuan, Deyu & Du, Junying & Chang, Jiaming, 2024. "Does transport infrastructure development inhibit firm-level employment fluctuations? Evidence from national expressway construction in China," Economic Analysis and Policy, Elsevier, vol. 84(C), pages 610-627.
    5. Zhi-Chun Li & Xue Bing & Xiaowen Fu, 2025. "A hierarchical hub location model for the integrated design of urban and rural logistics networks under demand uncertainty," Annals of Operations Research, Springer, vol. 348(2), pages 1087-1108, May.
    6. Qin Li & Shuangning Lv & Jingya Cui & Dongchen Hou & Yijun Liu & Wenlong Li, 2024. "Sustainability Constraints on Rural Road Infrastructure," Sustainability, MDPI, vol. 16(16), pages 1-15, August.
    7. Liu, Qiyang & Ma, Tianyu & Liu, Zhengying, 2024. "Reconceptualising transport-related social exclusion in rural China," Journal of Transport Geography, Elsevier, vol. 118(C).
    8. Yuling Fang & Shixin Wu & Guanyu Hou & Weiyi Long, 2024. "Spatiotemporal Changes and Driving Mechanisms of Cropland Reclamation and Abandonment in Xinjiang," Land, MDPI, vol. 13(9), pages 1-19, September.
    9. Lu, Haiyan & Zhao, Pengjun & Hu, Haoyu & Yan, Jie & Chen, Xiaoping, 2023. "Exploring the heterogeneous impact of road infrastructure on rural residents’ income: Evidence from nationwide panel data in China," Transport Policy, Elsevier, vol. 134(C), pages 155-166.
    10. Zheng, Mingbo & Zhang, Xinyu, 2025. "Digitalization and renewable energy development: Analysis based on cross-country panel data," Energy, Elsevier, vol. 319(C).
    11. Xu, Yuanbin & Wei, Yuan & Zeng, Xin & Yu, Haiqing & Chen, Hongjie, 2024. "Big data development and labor income share: Evidence from China's national big data comprehensive pilot zones," Economic Analysis and Policy, Elsevier, vol. 84(C), pages 1415-1437.
    12. Xiaqun Liu & Xiaoyue Qiu & Yaming Zhuang, 2025. "Dynamic Comprehensive Evaluation Model of Rural Revitalization in China: A Perspective on Symbiosis," Sustainability, MDPI, vol. 17(7), pages 1-15, April.
    13. Lina Zhang & Sai Liu & Yung‐ho Chiu & Qinghua Pang & Qiyong Chen & Changfeng Shi, 2024. "Assessing China's energy‐related efficiency towards SDG7 and influencing factors," Sustainable Development, John Wiley & Sons, Ltd., vol. 32(6), pages 6449-6470, December.
    14. Asif Ali & Jinkai Li & Jin Zhang & Muhammad Zubair Chishti, 2024. "Exploring the impact of green finance and technological innovation on green economic growth: Evidence from emerging market economies," Sustainable Development, John Wiley & Sons, Ltd., vol. 32(6), pages 6392-6407, December.
    15. Wang, Yi & Li, Biao & Niu, Xiaoyan & Li, Baoqi, 2024. "Return-to-hometown entrepreneurship and employment of low-income households: Evidence from national returned entrepreneurial enterprise data of China," Economic Analysis and Policy, Elsevier, vol. 84(C), pages 1714-1729.
    16. Zeng, Ming & Zhang, Weike, 2024. "Green finance: The catalyst for artificial intelligence and energy efficiency in Chinese urban sustainable development," Energy Economics, Elsevier, vol. 139(C).
    17. Meiyan Wang & Ying Xu & Runtian Shen & Yun Wu, 2024. "Performance-Oriented Parametric Optimization Design for Energy Efficiency of Rural Residential Buildings: A Case Study from China’s Hot Summer and Cold Winter Zone," Sustainability, MDPI, vol. 16(19), pages 1-30, September.
    18. Wei, Silin & Yang, Yinsheng & Xu, Ying, 2023. "Regional development, agricultural industrial upgrading and carbon emissions: What is the role of fiscal expenditure? —-Evidence from Northeast China," Economic Analysis and Policy, Elsevier, vol. 80(C), pages 1858-1871.
    19. Huifang Liu & Weirong Fang & Pengwei Yuan & Xiaoqing Dong, 2025. "How does climate change affect green total factor productivity?," Climatic Change, Springer, vol. 178(6), pages 1-23, June.
    20. Xinhai Lu & Jiao Hou & Yifeng Tang & Ting Wang & Tianyi Li & Xupeng Zhang, 2022. "Evaluating the Impact of the Highway Infrastructure Construction and the Threshold Effect on Cultivated Land Use Efficiency: Evidence from Chinese Provincial Panel Data," Land, MDPI, vol. 11(7), pages 1-20, July.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0313906. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.