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Analysis of the temporal and spatial evolution characteristics and influencing factors of China’s herbivorous animal husbandry industry

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  • Chengji Han
  • Guogang Wang
  • Yongxiang Zhang
  • Lili Song
  • Lizhi Zhu

Abstract

It is vast significance to explore the spatial and temporal evolution characteristics and influencing factors of herbivorous animal husbandry industry based on the context of China’s agriculture pursuing high-quality development. In this paper, we analyze the spatial and temporal evolution of the layout of China’s herbivorous animal husbandry industry and its influencing factors based on the spatial autocorrelation analysis, standard deviation ellipse, and spatial Durbin model with data from 1980 to 2017. The results show that there are significant positive autocorrelation characteristics of "high-high" aggregation and "low-low" aggregation in the Chinese herbivorous animal husbandry industry. To be specific, in the past four decades, the spatial distribution center of China’s herbivorous animal husbandry industry has moved towards the northeast, crossing the boundary between agriculture and animal husbandry in China, presenting a clear trend of moving from pastoral area to agricultural area; the gradual narrowing of the spatial distribution range indicates the gradually increased degree of aggregation within the industry; the east-west stretch of spatial distribution has been strengthened, and the azimuth angle shows clockwise change, suggesting that the industrial expansion in the northeast-southwest direction is prominent; the influencing factors of changes in the spatial distribution of the industry reveal that the quantity and production capacity of productive land, people’s income and living standards, and the level of mechanization will promote the development of China’s herbivorous animal husbandry industry, and are essential factors influencing industrial distribution and transfer, while policy factor has small or even not significant impact on industrial aggregation, reflecting that the policy has not played the expected role, and policy support needs to be further intensified.

Suggested Citation

  • Chengji Han & Guogang Wang & Yongxiang Zhang & Lili Song & Lizhi Zhu, 2020. "Analysis of the temporal and spatial evolution characteristics and influencing factors of China’s herbivorous animal husbandry industry," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-14, August.
    • Handle: RePEc:plo:pone00:0237827
    DOI: 10.1371/journal.pone.0237827
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    1. Dave Donaldson, 2018. "Railroads of the Raj: Estimating the Impact of Transportation Infrastructure," American Economic Review, American Economic Association, vol. 108(4-5), pages 899-934, April.
    2. A. D. Basiago, 1998. "Economic, social, and environmental sustainability in development theory and urban planning practice," Environment Systems and Decisions, Springer, vol. 19(2), pages 145-161, June.
    3. Zhang, Xiaobo & Yang, Jin & Reardon, Thomas, 2020. "Mechanization outsourcing clusters and division of labor in Chinese agriculture," IFPRI book chapters, in: An evolving paradigm of agricultural mechanization development: How much can Africa learn from Asia?, chapter 2, pages 71-96, International Food Policy Research Institute (IFPRI).
    4. Rudnick, Jessica & Niles, Meredith & Lubell, Mark & Cramer, Laura, 2019. "A comparative analysis of governance and leadership in agricultural development policy networks," World Development, Elsevier, vol. 117(C), pages 112-126.
    5. Robert Tripp, 2001. "Agricultural Technology Policies for Rural Development," Development Policy Review, Overseas Development Institute, vol. 19(4), pages 479-489, December.
    6. Nijdam, Durk & Rood, Trudy & Westhoek, Henk, 2012. "The price of protein: Review of land use and carbon footprints from life cycle assessments of animal food products and their substitutes," Food Policy, Elsevier, vol. 37(6), pages 760-770.
    7. Rizwan Muhammad & Yaolong Zhao & Fan Liu, 2019. "Spatiotemporal Analysis to Observe Gender Based Check-In Behavior by Using Social Media Big Data: A Case Study of Guangzhou, China," Sustainability, MDPI, vol. 11(10), pages 1-30, May.
    8. Alexander, Kim S. & Parry, Lucy & Thammavong, Phomma & Sacklokham, Silinthone & Pasouvang, Somphanh & Connell, John G. & Jovanovic, Tom & Moglia, Magnus & Larson, Silva & Case, Peter, 2018. "Rice farming systems in Southern Lao PDR: Interpreting farmers’ agricultural production decisions using Q methodology," Agricultural Systems, Elsevier, vol. 160(C), pages 1-10.
    9. Nhemachena, Charles & Matchaya, Greenwell & Nhlengethwa, Sibusiso & Nhemachena, C. R., . "Exploring ways to increase public investments in agricultural water management and irrigation for improved agricultural productivity in Southern Africa," Papers published in Journals (Open Access), International Water Management Institute, pages 44(3):474-4.
    10. Jesús Mur & Ana Angulo, 2006. "The Spatial Durbin Model and the Common Factor Tests," Spatial Economic Analysis, Taylor & Francis Journals, vol. 1(2), pages 207-226.
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    2. Chengji Han & Guogang Wang & Hongbo Yang, 2022. "Study on the Coupling System of Grain-Grass-Livestock of Herbivorous Animal Husbandry in Agricultural Areas: A Case Study of Najitun Farm of Hulunbuir Agricultural Reclamation in China," Land, MDPI, vol. 11(5), pages 1-26, May.
    3. Zhangcai Yin & Wei Huang & Shen Ying & Panli Tang & Ziqiang Kang & Kuan Huang, 2021. "Measuring of the COVID-19 Based on Time-Geography," IJERPH, MDPI, vol. 18(19), pages 1-19, September.
    4. Kolluru, Venkatesh & John, Ranjeet & Saraf, Sakshi & Chen, Jiquan & Hankerson, Brett & Robinson, Sarah & Kussainova, Maira & Jain, Khushboo, 2023. "Gridded livestock density database and spatial trends for Kazakhstan," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 10, pages 1-15.
    5. Xianghao Zhao & Changjiang Xiong, 2022. "Spatial and Temporal Characteristics, Evolution Law and Improvement Path of China’s Animal Husbandry Production Pattern," Sustainability, MDPI, vol. 14(23), pages 1-18, November.

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