IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v13y2023i7p1350-d1186664.html
   My bibliography  Save this article

Spatiotemporal Evolution of Cultivated Land Use Eco-Efficiency and Its Dynamic Relationship with Landscape Pattern Change from the Perspective of Carbon Effect: A Case Study of Henan, China

Author

Listed:
  • Qi Liu

    (College of Geography and Environmental Science, Henan University, Kaifeng 475004, China)

  • Jiajun Qiao

    (College of Geography and Environmental Science, Henan University, Kaifeng 475004, China)

  • Dong Han

    (College of Geography and Environmental Science, Henan University, Kaifeng 475004, China)

  • Mengjuan Li

    (College of Geography and Environmental Science, Henan University, Kaifeng 475004, China)

  • Liangxiao Shi

    (College of Geography and Environmental Science, Henan University, Kaifeng 475004, China)

Abstract

Cultivated land is a vital factor in agricultural production but faces multiple challenges, including declining total area, spatial transformation, and ecological degradation. It is imperative to enhance cultivated land use eco-efficiency (CLUE). This study aimed to evaluate the CLUE that considers both carbon sequestration and emissions using the SBM model at the county level. Next, spatial autocorrelation was employed to measure CLUE’s spatial correlation. The spatial agglomeration pattern of CLUE was determined, then time-series cluster analysis was used to identify the temporal evolution patterns of CLUE in various districts and counties. Furthermore, we explored the spatiotemporal dynamic relationship between CLUE and landscape pattern changes using landscape pattern index and geographically and temporally weighted regression (GTWR), considering spatiotemporal heterogeneity, and using interaction detectors to identify the interaction between landscape pattern factors on CLUE. The results show that: (1) From 2000 to 2020, CLUE in Henan Province varied between 0.50 and 0.70 in most years, indicating potential for improvement. There are four primary temporal evolution patterns: 26 Late-development, 22 Wave-rising, 27 Fluctuation-rising, and 29 Continuous-rising types of CLUE. (2) CLUE exhibits low values in the middle and eastern regions, i.e., areas with high values are concentrated in the southern districts, counties, and western and northern regions. CLUE has a significant positive spatial correlation with HH agglomeration areas mainly concentrated in Xinyang City, and LL agglomeration areas mainly located in the eastern and central regions. (3) Overall, different landscape factors exhibit varying degrees of spatiotemporal heterogeneity in their impact on CLUE. The total area and aggregation of cultivated land have a positive effect on CLUE, with the area of the positive influence of the total area gradually expanding over time and the aggregation gradually decreasing. The complexity of cultivated land shape has a negative effect. The impact of cultivated land patch density is two-sided, with the area of negative influence gradually expanding over time. (4) The interaction between the total area, shape, and aggregation of cultivated land is enhanced. Additionally, the interaction between cultivated land patch density and other factors has changed from a weakening to a strengthening one, and the “double-edged sword” effect has gradually shifted into a one-way effect. Therefore, in the process of land consolidation, it is recommended to prioritize regularized, larger, and more concentrated cropland patches whenever possible.

Suggested Citation

  • Qi Liu & Jiajun Qiao & Dong Han & Mengjuan Li & Liangxiao Shi, 2023. "Spatiotemporal Evolution of Cultivated Land Use Eco-Efficiency and Its Dynamic Relationship with Landscape Pattern Change from the Perspective of Carbon Effect: A Case Study of Henan, China," Agriculture, MDPI, vol. 13(7), pages 1-27, July.
  • Handle: RePEc:gam:jagris:v:13:y:2023:i:7:p:1350-:d:1186664
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/13/7/1350/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2077-0472/13/7/1350/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jie Zhang & Meiqiu Chen & Chang Huang & Zhaohao Lai, 2022. "Labor Endowment, Cultivated Land Fragmentation, and Ecological Farming Adoption Strategies among Farmers in Jiangxi Province, China," Land, MDPI, vol. 11(5), pages 1-17, May.
    2. Per Andersen & Niels Christian Petersen, 1993. "A Procedure for Ranking Efficient Units in Data Envelopment Analysis," Management Science, INFORMS, vol. 39(10), pages 1261-1264, October.
    3. Zhou, Yang & Li, Xunhuan & Liu, Yansui, 2021. "Cultivated land protection and rational use in China," Land Use Policy, Elsevier, vol. 106(C).
    4. Kuang, Bing & Lu, Xinhai & Zhou, Min & Chen, Danling, 2020. "Provincial cultivated land use efficiency in China: Empirical analysis based on the SBM-DEA model with carbon emissions considered," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    5. Zheng, Jinghai & Liu, Xiaoxuan & Bigsten, Arne, 1998. "Ownership Structure and Determinants of Technical Efficiency: An Application of Data Envelopment Analysis to Chinese Enterprises (1986-1990)," Journal of Comparative Economics, Elsevier, vol. 26(3), pages 465-484, September.
    6. Liu, Yansui & Zou, Lilin & Wang, Yongsheng, 2020. "Spatial-temporal characteristics and influencing factors of agricultural eco-efficiency in China in recent 40 years," Land Use Policy, Elsevier, vol. 97(C).
    7. Ying Chen & Suran Li & Long Cheng, 2020. "Evaluation of Cultivated Land Use Efficiency with Environmental Constraints in the Dongting Lake Eco-Economic Zone of Hunan Province, China," Land, MDPI, vol. 9(11), pages 1-15, November.
    8. Xiao Lu & Yi Qu & Piling Sun & Wei Yu & Wenlong Peng, 2020. "Green Transition of Cultivated Land Use in the Yellow River Basin: A Perspective of Green Utilization Efficiency Evaluation," Land, MDPI, vol. 9(12), pages 1-22, November.
    9. Pengnan Xiao & Jie Xu & Zupeng Yu & Peng Qian & Mengyao Lu & Chao Ma, 2022. "Spatiotemporal Pattern Differentiation and Influencing Factors of Cultivated Land Use Efficiency in Hubei Province under Carbon Emission Constraints," Sustainability, MDPI, vol. 14(12), pages 1-24, June.
    10. Duffy, Michael, 2009. "Economies of Size in Production Agriculture," Staff General Research Papers Archive 31282, Iowa State University, Department of Economics.
    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. Guangyan Ran & Guangyao Wang & Huijuan Du & Mi Lv, 2023. "Relationship of Cooperative Management and Green and Low-Carbon Transition of Agriculture and Its Impacts: A Case Study of the Western Tarim River Basin," Sustainability, MDPI, vol. 15(11), pages 1-18, May.
    2. Yi Qu & Xiao Lyu & Wenlong Peng & Zongfei Xin, 2021. "How to Evaluate the Green Utilization Efficiency of Cultivated Land in a Farming Household? A Case Study of Shandong Province, China," Land, MDPI, vol. 10(8), pages 1-18, July.
    3. Houtian Tang & Yuanlai Wu & Jinxiu Chen & Liuxin Deng & Minjie Zeng, 2022. "How Does Change in Rural Residential Land Affect Cultivated Land Use Efficiency? An Empirical Study Based on 42 Cities in the Middle Reaches of the Yangtze River," Land, MDPI, vol. 11(12), pages 1-20, December.
    4. Zhang, Bangbang & Li, Xian & Chen, Haibin & Niu, Wenhao & Kong, Xiangbin & Yu, Qiang & Zhao, Minjuan & Xia, Xianli, 2022. "Identifying opportunities to close yield gaps in China by use of certificated cultivars to estimate potential productivity," Land Use Policy, Elsevier, vol. 117(C).
    5. Mengna Li & Li Tan & Xi Yang, 2023. "The Impact of Environmental Regulation on Cultivated Land Use Eco-Efficiency: Evidence from China," Agriculture, MDPI, vol. 13(9), pages 1-20, August.
    6. Fei, Rilong & Lin, Ziyi & Chunga, Joseph, 2021. "How land transfer affects agricultural land use efficiency: Evidence from China’s agricultural sector," Land Use Policy, Elsevier, vol. 103(C).
    7. Dang, Yuxuan & Zhao, Zhenting & Kong, Xiangbin & Lei, Ming & Liao, Yubo & Xie, Zhen & Song, Wei, 2023. "Discerning the process of cultivated land governance transition in China since the reform and opening-up-- Based on the multiple streams framework," Land Use Policy, Elsevier, vol. 133(C).
    8. Nan Ke & Xupeng Zhang & Xinhai Lu & Bing Kuang & Bin Jiang, 2022. "Regional Disparities and Influencing Factors of Eco-Efficiency of Arable Land Utilization in China," Land, MDPI, vol. 11(2), pages 1-17, February.
    9. Bing Kuang & Jinjin Liu & Xiangyu Fan, 2022. "Has China’s Low-Carbon City Construction Enhanced the Green Utilization Efficiency of Urban Land?," IJERPH, MDPI, vol. 19(16), pages 1-20, August.
    10. Yue Zhang & Yaqiang Dai & Yuanyuan Chen & Xinli Ke, 2022. "Coupling Coordination Development of New-Type Urbanization and Cultivated Land Low-Carbon Utilization in the Yangtze River Delta, China," Land, MDPI, vol. 11(6), pages 1-24, June.
    11. Fanchao Kong & Kaixiao Zhang & Hengshu Fu & Lina Cui & Yang Li & Tengteng Wang, 2023. "Temporal–Spatial Variations and Convergence Analysis of Land Use Eco-Efficiency in the Urban Agglomerations of the Yellow River Basin in China," Sustainability, MDPI, vol. 15(16), pages 1-20, August.
    12. Xiaotong Gao & Naigang Cao & Yushuo Zhang & Lin Zhao, 2022. "Spatial Structure of China’s Green Development Efficiency: A Perspective Based on Social Network Analysis," Sustainability, MDPI, vol. 14(23), pages 1-16, December.
    13. Xi Wu & Yajuan Wang & Hongbo Zhu, 2022. "Does Economic Growth Lead to an Increase in Cultivated Land Pressure? Evidence from China," Land, MDPI, vol. 11(9), pages 1-19, September.
    14. Min Zhou & Bing Kuang & Min Zhou & Nan Ke, 2022. "The Spatial and Temporal Evolution of the Coordination Degree in Regard to Farmland Transfer and Cultivated Land Green Utilization Efficiency in China," IJERPH, MDPI, vol. 19(16), pages 1-16, August.
    15. Yuling Wu & Pei Zhang & Jia Li & Jiao Hou, 2022. "Spatial Distribution Evolution and Optimization Path of Eco-Efficiency of Cultivated Land Use: A Case Study of Hubei Province, China," Sustainability, MDPI, vol. 14(18), pages 1-18, September.
    16. Yuanhe Yu & Jinkuo Lin & Peixiang Zhou & Shuwei Zheng & Zijun Li, 2022. "Cultivated Land Input Behavior of Different Types of Rural Households and Its Impact on Cultivated Land-Use Efficiency: A Case Study of the Yimeng Mountain Area, China," IJERPH, MDPI, vol. 19(22), pages 1-21, November.
    17. Pengnan Xiao & Jie Xu & Zupeng Yu & Peng Qian & Mengyao Lu & Chao Ma, 2022. "Spatiotemporal Pattern Differentiation and Influencing Factors of Cultivated Land Use Efficiency in Hubei Province under Carbon Emission Constraints," Sustainability, MDPI, vol. 14(12), pages 1-24, June.
    18. Guijie Qiu & Xiaonan Xing & Guanqiao Cong & Xinyu Yang, 2022. "Measuring the Cultivated Land Use Efficiency in China: A Super Efficiency MinDS Model Approach," IJERPH, MDPI, vol. 20(1), pages 1-15, December.
    19. Zhenggen Fan & Qingqing Luo & Hu Yu & Ji Liu & Wentong Xia, 2023. "Spatial–Temporal Evolution of the Coupling Coordination Degree between Water and Land Resources Matching and Cultivated Land Use Eco-Efficiency: A Case Study of the Major Grain-Producing Areas in the ," Land, MDPI, vol. 12(5), pages 1-18, April.
    20. Ruiqing Yuan & Xiangyang Xu & Yanli Wang & Jiayi Lu & Ying Long, 2024. "Evaluating Carbon-Emission Efficiency in China’s Construction Industry: An SBM-Model Analysis of Interprovincial Building Heating," Sustainability, MDPI, vol. 16(6), pages 1-16, 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:jagris:v:13:y:2023:i:7:p:1350-:d:1186664. 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.