IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0237827.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0237827
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0237827&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0237827?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. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Xu, Jie & Lv, Tao & Hou, Xiaoran & Deng, Xu & Li, Na & Liu, Feng, 2022. "Spatiotemporal characteristics and influencing factors of renewable energy production in China: A spatial econometric analysis," Energy Economics, Elsevier, vol. 116(C).
    2. 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.
    3. 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.
    4. 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.
    5. 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.

    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. Xiaoxue Du & Hernan Tejeda & Zhengliang Yang & Liang Lu, 2022. "A General-Equilibrium Model of Labor-Saving Technology Adoption: Theory and Evidences from Robotic Milking Systems in Idaho," Sustainability, MDPI, vol. 14(13), pages 1-17, June.
    2. Diane Coyle & Marianne Sensier, 2020. "The imperial treasury: appraisal methodology and regional economic performance in the UK," Regional Studies, Taylor & Francis Journals, vol. 54(3), pages 283-295, March.
    3. Stephan Heblich & Stephen J Redding & Daniel M Sturm, 2020. "The Making of the Modern Metropolis: Evidence from London," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 135(4), pages 2059-2133.
    4. Evgeny N. SMIRNOV & Sergey A. LUKYANOV, 2019. "Assessment of the transforming impact of global value chains on international trade," Upravlenets, Ural State University of Economics, vol. 10(3), pages 36-46, July.
    5. Pablo D. Fajgelbaum & Edouard Schaal, 2020. "Optimal Transport Networks in Spatial Equilibrium," Econometrica, Econometric Society, vol. 88(4), pages 1411-1452, July.
    6. Liv Osland & Inge Thorsen, 2013. "Spatial Impacts, Local Labour Market Characteristics and Housing Prices," Urban Studies, Urban Studies Journal Limited, vol. 50(10), pages 2063-2083, August.
    7. Ana Maria Santacreu & Michael Sposi & Jing Zhang, 2021. "What Determines State Heterogeneity in Response to US Tariff Changes?," Working Papers 2021-007, Federal Reserve Bank of St. Louis, revised 08 Mar 2023.
    8. Kalemli-Özcan, Sebnem & Nikolsko–Rzhevskyy, Alex & Kwak, Jun Hee, 2020. "Does trade cause capital to flow? Evidence from historical rainfall," Journal of Development Economics, Elsevier, vol. 147(C).
    9. Bensch, Gunther & Gotz, Gunnar & Peters, Jörg, 2020. "Effects of rural electrification on employment: A comment on Dinkelman (2011)," Ruhr Economic Papers 840, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    10. Teresa Sequeira & Conceicao Rego & Andreia Dionisio, 2024. "Investment And Productivity In The Agro-Industrial Sector: A Case Study," Sustainable Regional Development Scientific Journal, Sustainable Regional Development Scientific Journal, vol. 0(2), pages 13-26, October.
    11. Das, Abhiman & Ghani, Ejaz & Grover, Arti & Kerr, William & Nanda, Ramana, 2024. "JUE insight: Infrastructure and Finance: Evidence from India’s GQ highway network," Journal of Urban Economics, Elsevier, vol. 142(C).
    12. de Soyres, François & Mulabdic, Alen & Ruta, Michele, 2020. "Common transport infrastructure: A quantitative model and estimates from the Belt and Road Initiative," Journal of Development Economics, Elsevier, vol. 143(C).
    13. Abu-Qarn, Aamer & Lichtman-Sadot, Shirlee, 2019. "Connecting Disadvantaged Communities to Work and Higher Education Opportunities: Evidence from Public Transportation Penetration to Arab Towns in Israel," IZA Discussion Papers 12824, Institute of Labor Economics (IZA).
    14. Vincent Leyaro, 2021. "Trade effects of the East Africa Customs Union in Tanzania: Application of a structural gravity model," WIDER Working Paper Series wp-2021-55, World Institute for Development Economic Research (UNU-WIDER).
    15. Stephan Maurer & Ferdinand Rauch, 2023. "Economic geography aspects of the Panama Canal," Oxford Economic Papers, Oxford University Press, vol. 75(1), pages 142-162.
    16. Pérez, Jorge & Vial, Felipe & Zárate, Román, 2022. "Urban Transit Infrastructure: Spatial Mismatch and Labor Market Power," Research Department working papers 1992, CAF Development Bank Of Latinamerica.
    17. zu Ermgassen, Sophus & Drewniok, Michal & Bull, Joseph & Walker, Christine Corlet & Mancini, Mattia & Ryan-Collins, Josh & Serrenho, André Cabrera, 2022. "A home for all within planetary boundaries: pathways for meeting England’s housing needs without transgressing national climate and biodiversity goals," OSF Preprints 5kxce, Center for Open Science.
    18. Bird, Julia & Straub, Stéphane, 2020. "The Brasília experiment: The heterogeneous impact of road access on spatial development in Brazil," World Development, Elsevier, vol. 127(C).
    19. César Ducruet & Réka Juhász & David Krisztián Nagy & Claudia Steinwender, 2019. "All aboard: The aggregate effects of port development," Economics Working Papers 1708, Department of Economics and Business, Universitat Pompeu Fabra, revised Jan 2022.
    20. Akihiko Yanase & Ngo Van Long & Ngo Van Long, 2020. "Trade Costs and Strategic Investment in Infrastructure in a Dynamic Global Economy with Symmetric Countries," CESifo Working Paper Series 8707, CESifo.

    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:pone00:0237827. 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.