IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v20y2023i5p4251-d1082340.html
   My bibliography  Save this article

The Impact of Land Use Structure Change on Utilization Performance in Henan Province, China

Author

Listed:
  • Yanqi Zhao

    (Institute of Resources & Environment, Henan Polytechnic University, Jiaozuo 454003, China
    Collaborative Innovation Center of Coal Bed Methane and Shale Gas for Central Plains Economic Region, Jiaozuo 454100, China
    Collaborative Innovation Center of Coal Work Safety and Clean High Efficiency Utilization, Jiaozuo 454100, China)

  • Yue Zhang

    (Institute of Resources & Environment, Henan Polytechnic University, Jiaozuo 454003, China)

  • Ying Yang

    (Institute of Resources & Environment, Henan Polytechnic University, Jiaozuo 454003, China)

  • Fan Li

    (Institute of Resources & Environment, Henan Polytechnic University, Jiaozuo 454003, China)

  • Rongkun Dai

    (Institute of Resources & Environment, Henan Polytechnic University, Jiaozuo 454003, China)

  • Jianlin Li

    (Institute of Resources & Environment, Henan Polytechnic University, Jiaozuo 454003, China
    Collaborative Innovation Center of Coal Bed Methane and Shale Gas for Central Plains Economic Region, Jiaozuo 454100, China
    Collaborative Innovation Center of Coal Work Safety and Clean High Efficiency Utilization, Jiaozuo 454100, China)

  • Mingshi Wang

    (Institute of Resources & Environment, Henan Polytechnic University, Jiaozuo 454003, China
    Collaborative Innovation Center of Coal Bed Methane and Shale Gas for Central Plains Economic Region, Jiaozuo 454100, China
    Collaborative Innovation Center of Coal Work Safety and Clean High Efficiency Utilization, Jiaozuo 454100, China)

  • Zhenhua Li

    (Institute of Resources & Environment, Henan Polytechnic University, Jiaozuo 454003, China
    Collaborative Innovation Center of Coal Bed Methane and Shale Gas for Central Plains Economic Region, Jiaozuo 454100, China
    Collaborative Innovation Center of Coal Work Safety and Clean High Efficiency Utilization, Jiaozuo 454100, China)

Abstract

Because of the trends in population growth and rapid industrialization and urbanization, the intensity and structure of land use are undergoing great changes. Henan Province is an important economic province and a major grain producing and energy consumption area, and its land use plays a key role in the sustainable development of the whole of China. This study takes Henan Province as the research object, selects panel statistical data from 2010 to 2020, and discusses the land use structure (LUS) in Henan Province in terms of three aspects: information entropy, analysis of land use dynamic change, and land type conversion matrix. Based on the indicator system “social economy (SE)—ecological environment (EE)—agricultural production (AP)—energy consumption (EC)”, a land use performance (LUP) evaluation model was constructed to judge the performance of various land use types in Henan Province. Finally, the relational degree between LUS and LUP was calculated through the grey correlation. The results show that among the eight land use types in the study area since 2010, land used for water and water conservancy facilities increased by 4%. In addition, transport and garden land changed significantly, and was mainly converted from cultivated land (decreased by 6674 km 2 ) and other land. From the perspective of LUP, the increase in ecological environment performance is the most obvious, while agriculture performance is lagging behind; it is worth paying attention to the energy consumption performance, which is decreasing year by year. There is an obvious correlation between LUS and LUP. LUS in Henan Province presents a gradually stable state, and the transformation of land types promotes LUP. Proposing an effective and convenient evaluation method to explore the relationship between LUS and LUP is very beneficial in helping stakeholders to actively focus more on optimizing land resource management and decision making for the coordinated and sustainable development among agricultural, socio-economic, eco-environmental, and energy systems.

Suggested Citation

  • Yanqi Zhao & Yue Zhang & Ying Yang & Fan Li & Rongkun Dai & Jianlin Li & Mingshi Wang & Zhenhua Li, 2023. "The Impact of Land Use Structure Change on Utilization Performance in Henan Province, China," IJERPH, MDPI, vol. 20(5), pages 1-18, February.
    • Handle: RePEc:gam:jijerp:v:20:y:2023:i:5:p:4251-:d:1082340
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/20/5/4251/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/20/5/4251/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. He, Sanwei & Yu, Shan & Li, Guangdong & Zhang, Junfeng, 2020. "Exploring the influence of urban form on land-use efficiency from a spatiotemporal heterogeneity perspective: Evidence from 336 Chinese cities," Land Use Policy, Elsevier, vol. 95(C).
    2. Ustaoglu, E. & Sisman, S. & Aydınoglu, A.C., 2021. "Determining agricultural suitable land in peri-urban geography using GIS and Multi Criteria Decision Analysis (MCDA) techniques," Ecological Modelling, Elsevier, vol. 455(C).
    3. Wang, Liye & Zhang, Siyu & Tang, Lanping & Lu, Yanchi & Liu, Yanfang & Liu, Yaolin, 2022. "Optimizing distribution of urban land on the basis of urban land use intensity at prefectural city scale in mainland China," Land Use Policy, Elsevier, vol. 115(C).
    4. Zhang, Ling & Zhang, Lei & Xu, Yan & Zhou, Peng & Yeh, Chung-Hsing, 2020. "Evaluating urban land use efficiency with interacting criteria: An empirical study of cities in Jiangsu China," Land Use Policy, Elsevier, vol. 90(C).
    5. Gao, Xin & Zhang, Anlu & Sun, Zhanli, 2020. "How regional economic integration influence on urban land use efficiency？ A case study of Wuhan metropolitan area, China," Land Use Policy, Elsevier, vol. 90(C).
    6. Tian, Yingying & Zhou, Dingyang & Jiang, Guanghui, 2021. "A new quality management system of admittance indicators to improve industrial land use efficiency in the Beijing−Tianjin−Hebei region," Land Use Policy, Elsevier, vol. 107(C).
    7. Wang, Huan & Zhang, Chao & Yao, Xiaochuang & Yun, Wenju & Ma, Jiani & Gao, Lulu & Li, Pengshan, 2022. "Scenario simulation of the tradeoff between ecological land and farmland in black soil region of Northeast China," Land Use Policy, Elsevier, vol. 114(C).
    8. Chen, Yanguang, 2020. "Equivalent relation between normalized spatial entropy and fractal dimension," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 553(C).
    9. Song, Yang & Yeung, Godfrey & Zhu, Daolin & Xu, Yang & Zhang, Lixin, 2022. "Efficiency of urban land use in China’s resource-based cities, 2000–2018," Land Use Policy, Elsevier, vol. 115(C).
    10. Zhou, Yang & Li, Xunhuan & Liu, Yansui, 2020. "Land use change and driving factors in rural China during the period 1995-2015," Land Use Policy, Elsevier, vol. 99(C).
    11. Xu, Hongtao & Song, Youcheng & Tian, Yi, 2022. "Simulation of land-use pattern evolution in hilly mountainous areas of North China: A case study in Jincheng," Land Use Policy, Elsevier, vol. 112(C).
    12. Chen, Wei & Su, Zhi & Wang, Yanan & Wang, Qian & Zhao, Guoli, 2022. "Do the rank difference of industrial development zones affect land use efficiency? A regional analysis in China," Socio-Economic Planning Sciences, Elsevier, vol. 80(C).
    13. He, Xiaoping, 2022. "Energy effect of urban diversity: An empirical study from a land-use perspective," Energy Economics, Elsevier, vol. 108(C).
    14. Huang, Xinxin & Wang, Haijun & Xiao, Fentao, 2022. "Simulating urban growth affected by national and regional land use policies: Case study from Wuhan, China," Land Use Policy, Elsevier, vol. 112(C).
    15. Lei, Weiqian & Jiao, Limin & Xu, Gang, 2022. "Understanding the urban scaling of urban land with an internal structure view to characterize China’s urbanization," Land Use Policy, Elsevier, vol. 112(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. Yin Ma & Minrui Zheng & Xinqi Zheng & Yi Huang & Feng Xu & Xiaoli Wang & Jiantao Liu & Yongqiang Lv & Wenchao Liu, 2023. "Land Use Efficiency Assessment under Sustainable Development Goals: A Systematic Review," Land, MDPI, vol. 12(4), pages 1-21, April.
    2. Mengchao Yao & Yihua Zhang, 2021. "Evaluation and Optimization of Urban Land-Use Efficiency: A Case Study in Sichuan Province of China," Sustainability, MDPI, vol. 13(4), pages 1-22, February.
    3. You, Lie & Li, Yurui & Wang, Rui & Pan, Haozhi, 2020. "A benefit evaluation model for build-up land use in megacity suburban districts," Land Use Policy, Elsevier, vol. 99(C).
    4. Han Chen & Chunyu Meng & Qilin Cao, 2022. "Measurement and Influencing Factors of Low Carbon Urban Land Use Efficiency—Based on Non-Radial Directional Distance Function," Land, MDPI, vol. 11(7), pages 1-16, July.
    5. Xufeng Cui & Sisi Huang & Cuicui Liu & Tingting Zhou & Ling Shan & Fengyuan Zhang & Min Chen & Fei Li & Walter T. de Vries, 2021. "Applying SBM-GPA Model to Explore Urban Land Use Efficiency Considering Ecological Development in China," Land, MDPI, vol. 10(9), pages 1-15, August.
    6. Song, Yang & Yeung, Godfrey & Zhu, Daolin & Xu, Yang & Zhang, Lixin, 2022. "Efficiency of urban land use in China’s resource-based cities, 2000–2018," Land Use Policy, Elsevier, vol. 115(C).
    7. Wancong Li & Hong Li & Shijun Wang & Zhiqiang Feng, 2022. "Spatiotemporal Evolution of County-Level Land Use Structure in the Context of Urban Shrinkage: Evidence from Northeast China," Land, MDPI, vol. 11(10), pages 1-19, October.
    8. Lisha Pan & Hangang Hu & Xin Jing & Yang Chen & Guan Li & Zhongguo Xu & Yuefei Zhuo & Xueqi Wang, 2022. "The Impacts of Regional Cooperation on Urban Land-Use Efficiency: Evidence from the Yangtze River Delta, China," Land, MDPI, vol. 11(6), pages 1-16, June.
    9. Xinhai Lu & Zhenxing Shi & Jia Li & Junhao Dong & Mingjie Song & Jiao Hou, 2022. "Research on the Impact of Factor Flow on Urban Land Use Efficiency from the Perspective of Urbanization," Land, MDPI, vol. 11(3), pages 1-17, March.
    10. Zhang, Han & Zheng, Jinhui & Hunjra, Ahmed Imran & Zhao, Shikuan & Bouri, Elie, 2024. "How does urban land use efficiency improve resource and environment carrying capacity?," Socio-Economic Planning Sciences, Elsevier, vol. 91(C).
    11. Wang, Liye & Zhang, Siyu & Xiong, Qiangqiang & Liu, Yu & Liu, Yanfang & Liu, Yaolin, 2022. "Spatiotemporal dynamics of cropland expansion and its driving factors in the Yangtze River Economic Belt: A nuanced analysis at the county scale," Land Use Policy, Elsevier, vol. 119(C).
    12. Jiang, Xue & Li, Bingxin & Zhao, Hongyu & Zhang, Qiqi & Song, Xiaoya & Zhang, Haoran, 2022. "Examining the spatial simulation and land-use reorganisation mechanism of agricultural suburban settlements using a cellular-automata and agent-based model: Six settlements in China," Land Use Policy, Elsevier, vol. 120(C).
    13. Xinhai Lu & Yifeng Tang & Shangan Ke, 2021. "Does the Construction and Operation of High-Speed Rail Improve Urban Land Use Efficiency? Evidence from China," Land, MDPI, vol. 10(3), pages 1-15, March.
    14. Yingkai Tang & Kun Wang & Xuanming Ji & He Xu & Yangqing Xiao, 2021. "Assessment and Spatial-Temporal Evolution Analysis of Urban Land Use Efficiency under Green Development Orientation: Case of the Yangtze River Delta Urban Agglomerations," Land, MDPI, vol. 10(7), pages 1-19, July.
    15. Yahong Liu & Hailian Sun & Lei Shi & Huimin Wang & Zhai Xiu & Xiao Qiu & Hong Chang & Yu Xie & Yang Wang & Chengjie Wang, 2021. "Spatial-Temporal Changes and Driving Factors of Land-Use Eco-Efficiency Incorporating Ecosystem Services in China," Sustainability, MDPI, vol. 13(2), pages 1-15, January.
    16. Jingbo Liu & Haoyuan Feng & Kun Wang, 2022. "The Low-Carbon City Pilot Policy and Urban Land Use Efficiency: A Policy Assessment from China," Land, MDPI, vol. 11(5), pages 1-18, April.
    17. Ming Ma & Yuge Liu & Bingyi Wang & Xinyu Yan & Haotian Li, 2023. "Spatial-Temporal Evolution and Driving Mechanism of Urban Land Use Efficiency Based on T-DEA Model: A Case Study of Anhui Province, China," Sustainability, MDPI, vol. 15(13), pages 1-21, June.
    18. Yue Wu & Zexu Han & Auwalu Faisal Koko & Siyuan Zhang & Nan Ding & Jiayang Luo, 2022. "Analyzing the Spatio-Temporal Dynamics of Urban Land Use Expansion and Its Influencing Factors in Zhejiang Province, China," IJERPH, MDPI, vol. 19(24), pages 1-24, December.
    19. Jun Fu & Rui Ding & Yilin Zhang & Tao Zhou & Yiming Du & Yuqi Zhu & Linyu Du & Lina Peng & Jian Zou & Wenqian Xiao, 2022. "The Spatial-Temporal Transition and Influencing Factors of Green and Low-Carbon Utilization Efficiency of Urban Land in China under the Goal of Carbon Neutralization," IJERPH, MDPI, vol. 19(23), pages 1-25, December.
    20. Yuan Feng & Ying Li & Changfei Nie, 2023. "The Effect of Place-Based Policy on Urban Land Green Use Efficiency: Evidence from the Pilot Free-Trade Zone Establishment in China," Land, MDPI, vol. 12(3), pages 1-19, March.

    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:jijerp:v:20:y:2023:i:5:p:4251-:d:1082340. 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.