IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0304327.html
   My bibliography  Save this article

Spatial-temporal differentiation pattern and influencing factors of land economic density at the township scale in Zhejiang Province

Author

Listed:
  • Fangfang Ma
  • Yiping Hu
  • Zhiwei Ding

Abstract

Based on the land economic density of 892 town units, the spatial pattern of the land economic density in Zhejiang Province is analyzed using the coefficient of variation, spatial classification, and spatial correlation methods, and the influencing factors are analyzed using a spatial regression model. The results are as follows: (1) The coefficients of variation were 2.6 and 3.1 in 2014 and 2019, respectively, indicating that the degree of imbalance of the town’s industrial economy at the county level increased. (2) The distribution of the high-level agglomeration areas was characterized by one core area and two sub-core areas. The main core area was located at the junction of Hangzhou City, Shaoxing City, and Jiaxing City, and the two sub-core areas were located in Yuyao City and the main urban area of Ningbo City. In addition, several small-scale agglomeration areas composed of medium and high-level units were distributed in Wenzhou City. (3) The high-value agglomeration and low-value agglomeration distribution in the spatial correlation patterns was identified using the spatial auto-correlation method. The hot spots and sub-hot spots were distributed in Northern Zhejiang, and the cold spots formed a large-scale agglomeration in Quzhou City, Lishui City, Taizhou City, and several other cities in Southern Zhejiang. (4) Compared with the county scale, the spatial scope of the high-level areas in Northern Zhejiang shrunk significantly at the township scale, and the high-level agglomeration areas along the southeast coast changed into a cluster of several townships. (5) According to the geographically weighted regression (GWR) model, the importance of influencing factors is as follows: population density > regional area > industrial output value per capita > total population > proportion of secondary and tertiary personnel > total employees.

Suggested Citation

  • Fangfang Ma & Yiping Hu & Zhiwei Ding, 2024. "Spatial-temporal differentiation pattern and influencing factors of land economic density at the township scale in Zhejiang Province," PLOS ONE, Public Library of Science, vol. 19(5), pages 1-16, May.
    • Handle: RePEc:plo:pone00:0304327
    DOI: 10.1371/journal.pone.0304327
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0304327
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0304327&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0304327?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. Chunfen Zeng & Jun He & Qingqing He & Yuqing Mao & Boya Yu, 2022. "Assessment of Land Use Pattern and Landscape Ecological Risk in the Chengdu-Chongqing Economic Circle, Southwestern China," Land, MDPI, vol. 11(5), pages 1-17, April.
    2. Lin Dong & Jiazi Li & Yingjun Xu & Youtian Yang & Xuemin Li & Hua Zhang, 2021. "Study on the Spatial Classification of Construction Land Types in Chinese Cities: A Case Study in Zhejiang Province," Land, MDPI, vol. 10(5), pages 1-14, May.
    3. Dong Han & Jiajun Qiao & Qiankun Zhu, 2021. "Rural-Spatial Restructuring Promoted by Land-Use Transitions: A Case Study of Zhulin Town in Central China," Land, MDPI, vol. 10(3), pages 1-28, February.
    4. van der Sluis, Theo & Pedroli, Bas & Kristensen, Søren B.P. & Lavinia Cosor, Georgia & Pavlis, Evangelos, 2016. "Changing land use intensity in Europe – Recent processes in selected case studies," Land Use Policy, Elsevier, vol. 57(C), pages 777-785.
    5. Asabere, Stephen Boahen & Acheampong, Ransford A. & Ashiagbor, George & Beckers, Sandra Carola & Keck, Markus & Erasmi, Stefan & Schanze, Jochen & Sauer, Daniela, 2020. "Urbanization, land use transformation and spatio-environmental impacts: Analyses of trends and implications in major metropolitan regions of Ghana," Land Use Policy, Elsevier, vol. 96(C).
    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. Yuling Ma & Jiajun Qiao & Dong Han, 2022. "Simulation and Prediction of Evolution of Specialized Villages Agglomeration Based on System Dynamics," Land, MDPI, vol. 11(8), pages 1-18, July.
    2. Bernard Fosu Frimpong & Frank Molkenthin, 2021. "Tracking Urban Expansion Using Random Forests for the Classification of Landsat Imagery (1986–2015) and Predicting Urban/Built-Up Areas for 2025: A Study of the Kumasi Metropolis, Ghana," Land, MDPI, vol. 10(1), pages 1-21, January.
    3. Andrew Allan & Ali Soltani & Mohammad Hamed Abdi & Melika Zarei, 2022. "Driving Forces behind Land Use and Land Cover Change: A Systematic and Bibliometric Review," Land, MDPI, vol. 11(8), pages 1-20, August.
    4. Xinyao Li & Lingzhi Wang & Bryan Pijanowski & Lingpeng Pan & Hichem Omrani & Anqi Liang & Yi Qu, 2022. "The Spatio-Temporal Pattern and Transition Mode of Recessive Cultivated Land Use Morphology in the Huaibei Region of the Jiangsu Province," Land, MDPI, vol. 11(11), pages 1-16, November.
    5. Ruiz-Martinez, I. & Martinetti, D. & Marraccini, E. & Debolini, M., 2022. "Modeling drivers of farming system trajectories in Mediterranean peri-urban regions: Two case studies in Avignon (France) and Pisa (Italy)," Agricultural Systems, Elsevier, vol. 202(C).
    6. Matthew C. LaFevor & Alexandra G. Ponette-González & Rebecca Larson & Leah M. Mungai, 2021. "Spatial Targeting of Agricultural Support Measures: Indicator-Based Assessment of Coverages and Leakages," Land, MDPI, vol. 10(7), pages 1-17, July.
    7. Amanzhuli Yerkenhazi & Kerim Mamat & Abudukeyimu Abulizi & Yusuyunjiang Mamitimin & Xuemei Wei & Shanshan Tang & Junxia Wang & Shaojie Bai & Le Yuan, 2025. "Identification of Production–Living–Ecological Spatial Conflicts and Multi-Scenario Simulations in Extreme Arid Areas," Land, MDPI, vol. 14(5), pages 1-22, May.
    8. Quanfeng Li & Zhe Dong & Guoming Du & Aizheng Yang, 2021. "Spatial Differentiation of Cultivated Land Use Intensification in Village Settings: A Survey of Typical Chinese Villages," Land, MDPI, vol. 10(3), pages 1-18, March.
    9. Biao Zhang & Dian Shao & Zhonghu Zhang, 2022. "Spatio-Temporal Evolution Dynamic, Effect and Governance Policy of Construction Land Use in Urban Agglomeration: Case Study of Yangtze River Delta, China," Sustainability, MDPI, vol. 14(10), pages 1-36, May.
    10. Xiaodan Li & Gangqiang Zhu & Zhen Liu, 2024. "Spatiotemporal Evolution and Influencing Factors of Urban Construction Land in Resource-Exhausted Cities: An Empirical Study of Puyang, China," Land, MDPI, vol. 13(12), pages 1-25, November.
    11. Ke, Xinli & Chen, Jing & Zuo, Chengchao & Wang, Xiaoqian, 2024. "The cropland intensive utilisation transition in China: An induced factor substitution perspective," Land Use Policy, Elsevier, vol. 141(C).
    12. Yajun Ma & Ping Zhang & Kaixu Zhao & Yong Zhou & Sidong Zhao, 2022. "A Dynamic Performance and Differentiation Management Policy for Urban Construction Land Use Change in Gansu, China," Land, MDPI, vol. 11(6), pages 1-31, June.
    13. David Fernández-Nogueira & Eduardo Corbelle-Rico, 2018. "Land Use Changes in Iberian Peninsula 1990–2012," Land, MDPI, vol. 7(3), pages 1-12, August.
    14. Acheampong, Ransford A. & Asabere, Stephen Boahen, 2022. "Urban expansion and differential accessibility by car and public transport in the Greater Kumasi city-region, Ghana—A geospatial modelling approach," Journal of Transport Geography, Elsevier, vol. 98(C).
    15. Guangshun Zhang & Yi Su & Ziming Wang & Ying Chen & Jiangjun Wan & Haichao Bai, 2024. "Spatial–Temporal Evolution and Driving Force Analysis of Blue–Green Space in the Chengdu–Chongqing Economic Circle, China," Land, MDPI, vol. 13(11), pages 1-22, October.
    16. Xinyu Shi & Xiaoqing Zhao & Pei Huang & Zexian Gu & Junwei Pu & Shijie Zhou & Guoxun Qu & Qiaoqiao Zhao & Yan Feng & Yanjun Chen & Aimeng Xiang, 2023. "Rural Development under Poverty Governance: The Relationship between Rural Income and Land Use Transformation in Yunnan Province," Land, MDPI, vol. 12(2), pages 1-21, January.
    17. Lei Zhao & Zhengtao Shi & Guangxiong He & Li He & Wenfei Xi & Qin Jiang, 2023. "Land Use Change and Landscape Ecological Risk Assessment Based on Terrain Gradients in Yuanmou Basin," Land, MDPI, vol. 12(9), pages 1-19, September.
    18. Rongxi Peng & Tao Liu & Guangzhong Cao, 2023. "Valuating Multifunctionality of Land Use for Sustainable Development: Framework, Method, and Application," Land, MDPI, vol. 12(1), pages 1-19, January.
    19. Nansha Sun & Qiong Chen & Fenggui Liu & Qiang Zhou & Wenxin He & Yuanyuan Guo, 2023. "Land Use Simulation and Landscape Ecological Risk Assessment on the Qinghai-Tibet Plateau," Land, MDPI, vol. 12(4), pages 1-14, April.
    20. Jia Jia & Enhui Jiang & Shimin Tian & Bo Qu & Jieyu Li & Lingang Hao & Chang Liu & Yongcai Jing, 2025. "Land-Use Transformation and Its Eco-Environmental Effects of Production–Living–Ecological Space Based on the County Level in the Yellow River Basin," Land, MDPI, vol. 14(2), pages 1-15, February.

    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:pone00:0304327. 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.