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

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  • 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
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    References listed on IDEAS

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    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. 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.
    3. 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.
    4. 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.
    5. Marta C. González & César A. Hidalgo & Albert-László Barabási, 2009. "Understanding individual human mobility patterns," Nature, Nature, vol. 458(7235), pages 238-238, March.
    6. 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.
    7. 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.
    8. 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.
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    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.

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