IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v13y2023i11p2061-d1268661.html
   My bibliography  Save this article

Spatial Pattern and Influencing Factors of Agricultural Leading Enterprises in Heilongjiang Province, China

Author

Listed:
  • Tianli Wang

    (State Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China)

  • Yanji Ma

    (State Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China)

  • Siqi Luo

    (State Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China)

Abstract

As one of the major new agricultural business entities, agricultural leading enterprises (ALEs) are responsible for ensuring national food security, leading agricultural and rural modernization, and increasing farmers’ employment prospects and incomes. From the perspective of headquarters and branches, this study used a point pattern analysis, the local Moran’s index, the rank-size rule, and the geographical detector to depict the spatial pattern of ALEs in Heilongjiang Province, detect influencing factors, and reveal the spatial layout mechanism. The main conclusions are as follows. (1) ALE headquarters and branches in Heilongjiang Province had different location requirements, and their layout orientation, clustering areas, and influencing factors were different. (2) The headquarters displayed a pronounced urban and agglomeration orientation, while branches exhibited a significant farm dependence and raw material orientation. (3) Both the headquarters and the branches showed a significant trend towards spatial clustering. The headquarters were mainly in the Harbin municipal district and surrounding counties, including Wuchang, Zhaodong, and Beilin, which showed a high–high cluster pattern. The branches were mainly in the Sanjiang Plain. Tongjiang, Fujin, Hulin, Mishan, Raohe, Baoqing, and Suibin showed a high–high cluster pattern, while the Harbin municipal district and Bei’an showed a high–low outlier pattern. (4) The ALEs’ regional connection network in Heilongjiang Province was radially distributed with the Harbin municipal district as the centre. The agricultural reclamation system deeply influenced it. (5) The number of supporting enterprises, number of permanent residents, gross domestic product, railway mileage, number of people with Bachelor’s degrees or above, and distance from the provincial capital were the main influencing factors of the headquarters spatial pattern in Heilongjiang Province. The number of state farms in Heilongjiang Province, the per capita grain yield, highway mileage, and distance from the provincial capital were the main influencing factors of the branch spatial patterns in Heilongjiang Province. The interaction results indicated that the explanatory power of two-factor interaction was stronger than that of a single factor regardless of headquarters or branches, and most interaction types were bilinear enhancements. This study aims to provide a decision-making reference for the long-term development of ALEs in Heilongjiang Province at the present stage and accelerate the development of agricultural industrialization in major grain-producing areas.

Suggested Citation

  • Tianli Wang & Yanji Ma & Siqi Luo, 2023. "Spatial Pattern and Influencing Factors of Agricultural Leading Enterprises in Heilongjiang Province, China," Agriculture, MDPI, vol. 13(11), pages 1-23, October.
    • Handle: RePEc:gam:jagris:v:13:y:2023:i:11:p:2061-:d:1268661
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/13/11/2061/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2077-0472/13/11/2061/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Maryline Filippi & Pierre Triboulet & Sébastien Chantelot & Stéphanie Peres, 2015. "The Spatial Distribution of French Agricultural Cooperatives: An Exploratory Spatial Data Analysis," European Planning Studies, Taylor & Francis Journals, vol. 23(4), pages 710-732, April.
    2. Alessandro Corsi & Silvia Novelli & Giacomo Pettenati, 2018. "Producer and farm characteristics, type of product, location: Determinants of on‐farm and off‐farm direct sales by farmers," Agribusiness, John Wiley & Sons, Ltd., vol. 34(3), pages 631-649, June.
    3. Siqi Huang & Nik Hadiyan Nik Azman, 2023. "Enhancing Food Security through Digital Inclusive Finance: Evidence from Agricultural Enterprises in China," IJERPH, MDPI, vol. 20(4), pages 1-20, February.
    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. Karing’u kelvin Njuguna & Hezron Nyarindo Isaboke & Samuel Njiri Ndirangu, 2022. "Determinants of smallholders’ choice of avocado marketing outlets and profitability in Murang’a County, Kenya," SN Business & Economics, Springer, vol. 2(8), pages 1-25, August.
    2. Adil Outla & Koraich Almahdi & Moustapha Hamzaoui, 2020. "Spatial and Externality Determinants of Co-operatives and their Growth Dynamics in Morocco," Working Papers hal-03089872, HAL.
    3. Mastronardi, Luigi & Giaccio, Vincenzo & Marino, Davide & Romagnoli, Luca & Mazzocchi, Giampiero & Palmieri, Margherita, 2018. "Analysing consumer motivations and their behaviour in the Alternative Food Networks in Italy," 2018 Seventh AIEAA Conference, June 14-15, Conegliano, Italy 275645, Italian Association of Agricultural and Applied Economics (AIEAA).
    4. Penglong Li & Xuan Ye, 2024. "Research on the promotion effect and mechanisms of digital empowerment of food enterprises," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 70(2), pages 60-72.
    5. Corsi, Alessandro & Frontuto, Vito & Novelli, Silvia, 2022. "Relational goods and direct purchase from farmers: estimating the value of the relationship between consumers and producers," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 25(2), March.
    6. Rawaa Laajimi & Laurence Delattre & Hubert Jayet, 2024. "What demand and supply forces determine the location of off-farm points of sale in short food supply chains: Evidence from Nord and Pas-de-Calais, France," French Stata Users' Group Meetings 2024 25, Stata Users Group.
    7. Chiaverina, Pierre & Drogué, Sophie & Jacquet, Florence, 2024. "Do Farmers Participating in Short Food Supply Chains Use Less Pesticides? Evidence from France," Ecological Economics, Elsevier, vol. 216(C).
    8. Mastronardi, Luigi & Cavallo, Aurora & Romagnoli, Luca, 2022. "How did Italian diversified farms tackle Covid-19 pandemic first wave challenges?," Socio-Economic Planning Sciences, Elsevier, vol. 82(PA).
    9. María del Carmen Pérez-González & Lidia Valiente-Palma, 2021. "Cooperative Societies and Sustainability: A Spatial Analysis of Andalusia as a Tool for Implementing Territorial Development Policies, Strategies and Initiatives," Sustainability, MDPI, vol. 13(2), pages 1-16, January.
    10. André Torre, 2015. "New Challenges for Rural Areas in a Fast Moving Environment," European Planning Studies, Taylor & Francis Journals, vol. 23(4), pages 641-649, April.

    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:gam:jagris:v:13:y:2023:i:11:p:2061-:d:1268661. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.