IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i4p3225-d1063920.html
   My bibliography  Save this article

Evolution Process and Characteristics of Multifactor Flows in Rural Areas: A Case Study of Licheng Village in Hebei, China

Author

Listed:
  • Zhi Li

    (School of Geographical Sciences, Hebei Normal University, No. 20 Road East, 2nd Ring South, Shijiazhuang 050024, China
    Hebei Key Laboratory of Environmental Change and Ecological Construction, No. 20 Road East, 2nd Ring South, Shijiazhuang 050024, China)

  • Jinsong Liu

    (School of Geographical Sciences, Hebei Normal University, No. 20 Road East, 2nd Ring South, Shijiazhuang 050024, China
    Hebei Key Laboratory of Environmental Change and Ecological Construction, No. 20 Road East, 2nd Ring South, Shijiazhuang 050024, China)

Abstract

This paper, taking a typical agricultural village in China as an example, explored the evolution process and characteristics of rural population flows, capital flows and information flows since the reform and opening up in 1978, using a social survey and spatial analysis. The daily mobility of the rural population constantly increased around the township and central village. The volume of rural capital flows was increased. The income of residents mainly came from the township and central village, and consumption was concentrated in the county, township, central village and online network. Rural information flows developed significantly, showing typical translocality. Additionally, rural production space and living space were constantly restructured, and physical space and virtual space intertwined, forming new features of urban and rural spatial–coordinated development and a hybridity of rural space. In conclusion, affected by the dominant economic form, the evolution process of rural population flows, capital flows and information flows had obvious stage characteristics, and there were guidance, promotion and competition relationships among the three factor flows. Daily mobility was a more objective representation of the rural evolution process. Additionally, the study proposed the theory and spatio-temporal model of rural multifactor flows.

Suggested Citation

  • Zhi Li & Jinsong Liu, 2023. "Evolution Process and Characteristics of Multifactor Flows in Rural Areas: A Case Study of Licheng Village in Hebei, China," Sustainability, MDPI, vol. 15(4), pages 1-16, February.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:4:p:3225-:d:1063920
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/4/3225/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/4/3225/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zhao, Pengjun & Yu, Zhao, 2021. "Rural poverty and mobility in China: A national-level survey," Journal of Transport Geography, Elsevier, vol. 93(C).
    2. Maryam Kordi & A. Stewart Fotheringham, 2016. "Spatially Weighted Interaction Models (SWIM)," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 106(5), pages 990-1012, September.
    3. Di Zhu & Fan Zhang & Shengyin Wang & Yaoli Wang & Ximeng Cheng & Zhou Huang & Yu Liu, 2020. "Understanding Place Characteristics in Geographic Contexts through Graph Convolutional Neural Networks," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 110(2), pages 408-420, March.
    4. Tiepoh, M. Geepu Nah & Reimer, Bill, 2004. "Social capital, information flows, and income creation in rural Canada: a cross-community analysis," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 33(4), pages 427-448, September.
    5. V. I. Blanutsa & K. A. Cherepanov, 2019. "Regional Information Flows: Existing and New Approaches to Geographical Study," Regional Research of Russia, Springer, vol. 9(1), pages 97-106, January.
    6. Zhao, Pengjun & Yu, Zhao, 2020. "Investigating mobility in rural areas of China: Features, equity, and factors," Transport Policy, Elsevier, vol. 94(C), pages 66-77.
    7. Marta C. González & César A. Hidalgo & Albert-László Barabási, 2009. "Understanding individual human mobility patterns," Nature, Nature, vol. 458(7235), pages 238-238, March.
    8. Yuzhen Li & Guofang Gong & Fengtai Zhang & Lei Gao & Yuedong Xiao & Xingyu Yang & Pengzhen Yu, 2022. "Network Structure Features and Influencing Factors of Tourism Flow in Rural Areas: Evidence from China," Sustainability, MDPI, vol. 14(15), pages 1-23, August.
    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. Wenqi Li & Li Zhang & Inhee Lee & Menelaos Gkartzios, 2023. "Overview of Social Policies for Town and Village Development in Response to Rural Shrinkage in East Asia: The Cases of Japan, South Korea and China," Sustainability, MDPI, vol. 15(14), pages 1-19, July.
    2. Yuyao Zuo & Chaoxian Yang & Guixin Xin & Ya Wu & Rongrong Chen, 2023. "Driving Mechanism of Comprehensive Land Consolidation on Urban–Rural Development Elements Integration," Land, MDPI, vol. 12(11), pages 1-19, November.

    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. Elzbieta Szymanska & Zofia Koloszko-Chomentowska, 2022. "Sustainable Innovative Mobility Solutions Preferred by Inhabitants of Rural Areas—The Case of Lithuania and Poland," Sustainability, MDPI, vol. 14(11), pages 1-21, May.
    2. V. I. Blanutsa, 2022. "Geographic Research of the Platform Economy: Existing and Potential Approaches," Regional Research of Russia, Springer, vol. 12(2), pages 133-142, June.
    3. Giuseppina Guagnano & Elisabetta Santarelli & Isabella Santini, 2016. "Can Social Capital Affect Subjective Poverty in Europe? An Empirical Analysis Based on a Generalized Ordered Logit Model," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 128(2), pages 881-907, September.
    4. Jeong-Hui Park & Eunhye Yoo & Youngdeok Kim & Jung-Min Lee, 2021. "What Happened Pre- and during COVID-19 in South Korea? Comparing Physical Activity, Sleep Time, and Body Weight Status," IJERPH, MDPI, vol. 18(11), pages 1-13, May.
    5. Matteo Böhm & Mirco Nanni & Luca Pappalardo, 2022. "Gross polluters and vehicle emissions reduction," Nature Sustainability, Nature, vol. 5(8), pages 699-707, August.
    6. Jaewoong Yun, 2023. "Strategies for Improving the Sustainability of Fare-Free Policy for the Elderly through Preferences by Travel Modes," Sustainability, MDPI, vol. 15(20), pages 1-14, October.
    7. David Kofoed Wind & Piotr Sapiezynski & Magdalena Anna Furman & Sune Lehmann, 2016. "Inferring Stop-Locations from WiFi," PLOS ONE, Public Library of Science, vol. 11(2), pages 1-15, February.
    8. Zhou, Xingang & Yeh, Anthony G.O. & Yue, Yang, 2018. "Spatial variation of self-containment and jobs-housing balance in Shenzhen using cellphone big data," Journal of Transport Geography, Elsevier, vol. 68(C), pages 102-108.
    9. Zheng Yan & Wenqian Robertson & Yaosheng Lou & Tom W. Robertson & Sung Yong Park, 2021. "Finding leading scholars in mobile phone behavior: a mixed-method analysis of an emerging interdisciplinary field," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(12), pages 9499-9517, December.
    10. Duan, Zhengyu & Zhao, Haoran & Li, Zhenming, 2023. "Non-linear effects of built environment and socio-demographics on activity space," Journal of Transport Geography, Elsevier, vol. 111(C).
    11. Elisa Frutos-Bernal & Ángel Martín del Rey & Irene Mariñas-Collado & María Teresa Santos-Martín, 2022. "An Analysis of Travel Patterns in Barcelona Metro Using Tucker3 Decomposition," Mathematics, MDPI, vol. 10(7), pages 1-17, March.
    12. Zhai, Wei & Bai, Xueyin & Peng, Zhong-ren & Gu, Chaolin, 2019. "From edit distance to augmented space-time-weighted edit distance: Detecting and clustering patterns of human activities in Puget Sound region," Journal of Transport Geography, Elsevier, vol. 78(C), pages 41-55.
    13. Khajehnejad, Moein, 2019. "Efficiency of long-range navigation on Treelike fractals," Chaos, Solitons & Fractals, Elsevier, vol. 122(C), pages 102-110.
    14. Chaogui Kang & Yu Liu & Diansheng Guo & Kun Qin, 2015. "A Generalized Radiation Model for Human Mobility: Spatial Scale, Searching Direction and Trip Constraint," PLOS ONE, Public Library of Science, vol. 10(11), pages 1-11, November.
    15. Yifeng Liu & Yuan Lai, 2024. "Analyzing jogging activity patterns and adaptation to public health regulation," Environment and Planning B, , vol. 51(3), pages 670-688, March.
    16. Li, Ze-Tao & Nie, Wei-Peng & Cai, Shi-Min & Zhao, Zhi-Dan & Zhou, Tao, 2023. "Exploring the topological characteristics of urban trip networks based on taxi trajectory data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 609(C).
    17. Claudio Gariazzo & Armando Pelliccioni & Maria Paola Bogliolo, 2019. "Spatiotemporal Analysis of Urban Mobility Using Aggregate Mobile Phone Derived Presence and Demographic Data: A Case Study in the City of Rome, Italy," Data, MDPI, vol. 4(1), pages 1-25, January.
    18. Han Wang & Damien Fay & Kenneth N. Brown & Liam Kilmartin, 2016. "Modelling revenue generation in a dynamically priced mobile telephony service," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 62(4), pages 711-734, August.
    19. Toru Nakamura & Toru Takumi & Atsuko Takano & Fumiyuki Hatanaka & Yoshiharu Yamamoto, 2013. "Characterization and Modeling of Intermittent Locomotor Dynamics in Clock Gene-Deficient Mice," PLOS ONE, Public Library of Science, vol. 8(3), pages 1-8, March.
    20. Fangye Du & Jiaoe Wang & Liang Mao & Jian Kang, 2024. "Daily rhythm of urban space usage: insights from the nexus of urban functions and human mobility," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-10, December.

    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:jsusta:v:15:y:2023:i:4:p:3225-:d:1063920. 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.