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The Characteristics and Influencing Factors of Rural Industrial Integration Land in China: A Case Study in Qingdao, Shandong Province

Author

Listed:
  • Bailin Zhang

    (School of Environmental Science and Engineering, Tiangong University, Tianjin 300387, China)

  • Xueting Chen

    (School of Environmental Science and Engineering, Tiangong University, Tianjin 300387, China)

  • Yan Zhou

    (Faculty of Geography, Yunnan Normal University, Kunming 650500, China)

  • Yining Zhang

    (School of Environmental Science and Engineering, Tiangong University, Tianjin 300387, China)

  • Bingqian Zhai

    (School of Economics and Management, Tiangong University, Tianjin 300387, China)

Abstract

Rural industrial integration land has emerged with the rise of new industries in rural China, exhibiting spatial distribution patterns distinct from traditional industrial land. However, research on this land use remains limited. This paper offers an exploratory definition of rural industrial integration land, takes three typical villages in Qingdao, Shandong Province as examples, establishes a model for measuring the diversity, complexity, and compatibility of land for industrial integration development based on the Hill numbers diversity measurement model, the information entropy index, and the mixedness index ( WVMDI i ) to explore the spatial layout characteristics of rural industrial integration land, and introduces the grey relational model to analyze its driving mechanism. The findings reveal that: (1) Rural industrial integration land is marked by structural diversity, multifunctionality, and compatibility in use. (2) From 2015 to 2023, the land’s diversity, complexity, and compatibility increased. The spatial layout characteristics of rural industrial integration land in the three villages, which integrates its diversity, complexity, and compatibility, increased from 1.3842, 1.5786, and 1.2127 to 1.8500, 1.9123, and 2.0224. (3) Between 2015 and 2019, key factors influencing spatial distribution included resource endowment, industrial foundation, and socioeconomic conditions. From 2019 to 2023, the most significant factors shifted to industrial foundation, farmers’ demand, and regional policies. Understanding the spatial distribution of rural industrial integration land is essential for guiding rural industrial spatial planning and promoting rural industrial revitalization.

Suggested Citation

  • Bailin Zhang & Xueting Chen & Yan Zhou & Yining Zhang & Bingqian Zhai, 2025. "The Characteristics and Influencing Factors of Rural Industrial Integration Land in China: A Case Study in Qingdao, Shandong Province," Land, MDPI, vol. 14(4), pages 1-22, April.
    • Handle: RePEc:gam:jlands:v:14:y:2025:i:4:p:774-:d:1627825
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    1. Maoh, Hanna & Tang, Zhongyuan, 2012. "Determinants of normal and extreme commute distance in a sprawled midsize Canadian city: evidence from Windsor, Canada," Journal of Transport Geography, Elsevier, vol. 25(C), pages 50-57.
    2. Long Hoang Thanh & Linh Ta Nhat & Hao Nguyen Dang & Thi Minh Hop Ho & Philippe Lebailly, 2018. "One Village One Product (OVOP)—A Rural Development Strategy and the Early Adaption in Vietnam, the Case of Quang Ninh Province," Sustainability, MDPI, vol. 10(12), pages 1-17, November.
    3. Haochen Shi & Miaoxi Zhao & Duncan A. Simth & Bin Chi, 2021. "Behind the Land Use Mix: Measuring the Functional Compatibility in Urban and Sub-Urban Areas of China," Land, MDPI, vol. 11(1), pages 1-18, December.
    4. Yun Shen & Ghulam Raza Sargani & Rui Wang & Yanxi Jing, 2024. "Unveiling the Spatio-Temporal Dynamics and Driving Mechanism of Rural Industrial Integration Development: A Case of Chengdu–Chongqing Economic Circle, China," Agriculture, MDPI, vol. 14(6), pages 1-26, June.
    5. Han Hao & Chenyang Liu & Ling Xin, 2023. "Measurement and Dynamic Trend Research on the Development Level of Rural Industry Integration in China," Agriculture, MDPI, vol. 13(12), pages 1-16, December.
    6. Hongji Chen & Kangchuan Su & Lixian Peng & Guohua Bi & Lulu Zhou & Qingyuan Yang, 2022. "Mixed Land Use Levels in Rural Settlements and Their Influencing Factors: A Case Study of Pingba Village in Chongqing, China," IJERPH, MDPI, vol. 19(10), pages 1-18, May.
    7. Rui Wang & Jianwen Shi & Dequan Hao & Wenxin Liu, 2023. "Spatial–Temporal Characteristics and Driving Mechanisms of Rural Industrial Integration in China," Agriculture, MDPI, vol. 13(4), pages 1-24, March.
    8. Zhu, Fengkai & Zhang, Fengrong & Ke, Xinli, 2018. "Rural industrial restructuring in China’s metropolitan suburbs: Evidence from the land use transition of rural enterprises in suburban Beijing," Land Use Policy, Elsevier, vol. 74(C), pages 121-129.
    9. Yaqiong Duan & Su Chen & Lingda Zhang & Dan Wang & Dongyang Liu & Quanhua Hou, 2023. "Spatial Distribution Characteristic and Type Classification of Rural Settlements: A Case Study of Weibei Plain, China," Sustainability, MDPI, vol. 15(11), pages 1-19, May.
    10. Lianma Zhang & Dazhuan Ge & Pan Sun & Dongqi Sun, 2021. "The Transition Mechanism and Revitalization Path of Rural Industrial Land from a Spatial Governance Perspective: The Case of Shunde District, China," Land, MDPI, vol. 10(7), pages 1-19, July.
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