IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v14y2025i8p1549-d1711834.html
   My bibliography  Save this article

Multifactor Configurational Pathways Driving the Eco-Efficiency of Cultivated Land Utilization in China: A Dynamic Panel QCA

Author

Listed:
  • Zihao Xu

    (College of Agriculture, Guangxi University, Nanning 530004, China
    These authors contributed equally to this work.)

  • Jialong Duan

    (Research Institute of Forestry Policy and Information, Chinese Academy of Forestry, Beijing 100091, China
    These authors contributed equally to this work.)

  • Lei Zhan

    (College of Agriculture, Guangxi University, Nanning 530004, China)

  • Chuanmin Yan

    (College of Agriculture, Guangxi University, Nanning 530004, China)

  • Zhigang Huang

    (College of Agriculture, Guangxi University, Nanning 530004, China)

Abstract

Cultivated land is fundamental to agricultural production, and the eco-efficiency of cultivated land utilization is widely acknowledged as a crucial indicator for assessing rational land use. Accordingly, this study applies a Super-SBM model with undesirable outputs to evaluate the eco-efficiency of cultivated land utilization (ECLU) across 31 provinces in China utilizing provincial panel data from 2005 to 2023 and further employs dynamic fuzzy-set qualitative comparative analysis to investigate, across spatial and temporal dimensions, how government policy, agricultural technology, socioeconomic conditions, and natural conditions interact to achieve a high ECLU and to elucidate the diverse configurational pathways through which these factors converge to deliver a high ECLU. Our findings demonstrate that the ECLU originates from the joint influence of several factors, and no single factor alone can provide a high level of eco-efficiency. In particular, a high GDP per capita and strong government agricultural expenditure intensity are pivotal for achieving a high ECLU, whereas a low GDP per capita and weak government agricultural expenditure intensity are the core conditions associated with poor eco-efficiency outcomes. We identify three distinct driving pathways that foster a high ECLU: the Economy–Technology–Government Synergistic Pathway, Nature–Economy Dual-Driver Pathway, and Government-Supported Land–Economy Pathway. Between-configuration consistency (BECONS) exhibits no significant temporal effect; however, a constellation of external factors triggered a pronounced, collective reduction in configurational consistency from 2008 to 2014. Regional analysis reveals pronounced heterogeneity: Spatially, the Economy–Technology–Government Synergistic Pathway is concentrated in China’s central and eastern provinces, the Nature–Economy Dual-Driver Pathway clusters mainly in the central belt, and the Government-Supported Land–Economy Pathway predominates in the west.

Suggested Citation

  • Zihao Xu & Jialong Duan & Lei Zhan & Chuanmin Yan & Zhigang Huang, 2025. "Multifactor Configurational Pathways Driving the Eco-Efficiency of Cultivated Land Utilization in China: A Dynamic Panel QCA," Land, MDPI, vol. 14(8), pages 1-27, July.
  • Handle: RePEc:gam:jlands:v:14:y:2025:i:8:p:1549-:d:1711834
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/14/8/1549/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2073-445X/14/8/1549/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Du, Yunzhou & Kim, Phillip H., 2021. "One size does not fit all: Strategy configurations, complex environments, and new venture performance in emerging economies," Journal of Business Research, Elsevier, vol. 124(C), pages 272-285.
    2. Min Zhou & Hua Zhang & Nan Ke, 2022. "Cultivated Land Transfer, Management Scale, and Cultivated Land Green Utilization Efficiency in China: Based on Intermediary and Threshold Models," IJERPH, MDPI, vol. 19(19), pages 1-20, October.
    3. Xiuqing Zou & Meihui Xie & Zhiyuan Li & Kaifeng Duan, 2022. "Spatial Spillover Effect of Rural Labor Transfer on the Eco-Efficiency of Cultivated Land Use: Evidence from China," IJERPH, MDPI, vol. 19(15), pages 1-17, August.
    4. McMillan, John & Whalley, John & Zhu, Lijing, 1989. "The Impact of China's Economic Reforms on Agricultural Productivity Growth," Journal of Political Economy, University of Chicago Press, vol. 97(4), pages 781-807, August.
    5. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    6. Yajuan Wang & Xi Wu & Hongbo Zhu, 2022. "Spatio-Temporal Pattern and Spatial Disequilibrium of Cultivated Land Use Efficiency in China: An Empirical Study Based on 342 Prefecture-Level Cities," Land, MDPI, vol. 11(10), pages 1-15, October.
    7. Marek Stawowy & Stanisław Duer & Jacek Paś & Wojciech Wawrzyński, 2021. "Determining Information Quality in ICT Systems," Energies, MDPI, vol. 14(17), pages 1-18, September.
    8. Lirong Xue & Aiyu Qu & Xiurui Guo & Chunxu Hao, 2024. "Research on Environmental Performance Measurement and Influencing Factors of Key Cities in China Based on Super-Efficiency SBM-Tobit Model," Sustainability, MDPI, vol. 16(11), pages 1-20, June.
    9. Kristina Dahlström & Paul Ekins, 2005. "Eco‐efficiency Trends in the UK Steel and Aluminum Industries," Journal of Industrial Ecology, Yale University, vol. 9(4), pages 171-188, October.
    10. 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.
    11. Xianhui Hu & Xiaxia Lin & Gaohui Wen & Yi Zhou & Hao Zhou & Siqi Lin & Dongyang Yue, 2024. "The Impact of Cultivated Land Fragmentation on Farmers’ Ecological Efficiency of Cultivated Land Use Based on the Moderating and Mediating Effects of the Cultivated Land Management Scale," Land, MDPI, vol. 13(10), pages 1-16, October.
    12. Wang, Ailun & Si, Lulu & Hu, Shuo, 2025. "Does China's outward foreign direct investment improve carbon emission Efficiency? The heterogeneous impact of economic development," Energy Policy, Elsevier, vol. 204(C).
    13. Weijuan Li & Jinyong Guo & Tian Xie, 2025. "Impact of Non-Agricultural Labor Transfer on the Ecological Efficiency of Cultivated Land: Evidence from China," Agriculture, MDPI, vol. 15(10), pages 1-22, May.
    14. Su, Mo & Guo, Renzhong & Hong, Wuyang, 2019. "Institutional transition and implementation path for cultivated land protection in highly urbanized regions: A case study of Shenzhen, China," Land Use Policy, Elsevier, vol. 81(C), pages 493-501.
    15. 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.
    16. Shijia Zhang & Xiaojuan Cao, 2025. "How does digital governance improve natural resource utilization efficiency? Configuration analysis based on the TOE framework," Palgrave Communications, Palgrave Macmillan, vol. 12(1), pages 1-13, December.
    17. Tingting Li & Yanfei Wang & Changquan Liu & Shuangshuang Tu, 2021. "Research on Identification of Multiple Cropping Index of Farmland and Regional Optimization Scheme in China Based on NDVI Data," Land, MDPI, vol. 10(8), pages 1-16, August.
    18. Beynon, Malcolm J. & Jones, Paul & Pickernell, David, 2020. "Country-level entrepreneurial attitudes and activity through the years: A panel data analysis using fsQCA," Journal of Business Research, Elsevier, vol. 115(C), pages 443-455.
    19. Siyou Xia & Yu Yang & Xiaoying Qian & Xin Xu, 2022. "Spatiotemporal Interaction and Socioeconomic Determinants of Rural Energy Poverty in China," IJERPH, MDPI, vol. 19(17), pages 1-15, August.
    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. 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.
    2. 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).
    3. Min Zhou & Hua Zhang & Zixuan Zhang & Hanxiaoxue Sun, 2023. "Digital Financial Inclusion, Cultivated Land Transfer and Cultivated Land Green Utilization Efficiency: An Empirical Study from China," Sustainability, MDPI, vol. 15(2), pages 1-19, January.
    4. Mao, Weining & Koo, Won W., 1996. "Productivity Growth, Technology Progress, And Efficiency Change In Chinese Agricultural Production From 1984 To 1993," Agricultural Economics Reports 23442, North Dakota State University, Department of Agribusiness and Applied Economics.
    5. Jie Li & Zhengchuan Sun & Jie Zhou & Yaya Sow & Xufeng Cui & Haipeng Chen & Qianling Shen, 2023. "The Impact of the Digital Economy on Carbon Emissions from Cultivated Land Use," Land, MDPI, vol. 12(3), pages 1-18, March.
    6. 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.
    7. Michael Olumekor, 2024. "Fuzzy Methods in Entrepreneurship Research," Journal of Entrepreneurship and Innovation in Emerging Economies, Entrepreneurship Development Institute of India, vol. 33(2), pages 365-392, May.
    8. Jiayi Zhang & Pan Zhang & Shasha Lu & Guoyong Wu, 2025. "Exploring the Impact of Rural Labor Mobility on Cultivated Land Green Utilization Efficiency: Case Study of the Karst Region of Southwest China," Agriculture, MDPI, vol. 15(3), pages 1-27, January.
    9. Min Zhou & Hanxiaoxue Sun & Nan Ke, 2022. "The Spatial and Temporal Evolution of Coordination Degree Concerning China’s Cultivated Land Green Utilization Efficiency and High-Quality Agricultural Development," Land, MDPI, vol. 12(1), pages 1-21, December.
    10. Chaozheng Zhang & Yangyue Su & Gangqiao Yang & Danling Chen & Rongxuan Yang, 2020. "Spatial-Temporal Characteristics of Cultivated Land Use Efficiency in Major Function-Oriented Zones: A Case Study of Zhejiang Province, China," Land, MDPI, vol. 9(4), pages 1-20, April.
    11. Peng Zhang & Youxian Li & Xuefeng Yuan & Yonghua Zhao, 2024. "Effects of Off-Farm Employment on the Eco-Efficiency of Cultivated Land Use: Evidence from the North China Plain," Land, MDPI, vol. 13(9), pages 1-21, September.
    12. 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.
    13. 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.
    14. Min Zhou & Hua Zhang & Nan Ke, 2022. "Cultivated Land Transfer, Management Scale, and Cultivated Land Green Utilization Efficiency in China: Based on Intermediary and Threshold Models," IJERPH, MDPI, vol. 19(19), pages 1-20, October.
    15. Mao, Weining & Koo, Won W., 1997. "Productivity growth, technological progress, and efficiency change in chinese agriculture after rural economic reforms: A DEA approach," China Economic Review, Elsevier, vol. 8(2), pages 157-174.
    16. Franz R. Hahn, 2007. "Determinants of Bank Efficiency in Europe. Assessing Bank Performance Across Markets," WIFO Studies, WIFO, number 31499.
    17. repec:lan:wpaper:1115 is not listed on IDEAS
    18. Azarnoosh Kafi & Behrouz Daneshian & Mohsen Rostamy-Malkhalifeh, 2021. "Forecasting the confidence interval of efficiency in fuzzy DEA," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 31(1), pages 41-59.
    19. Costa, Marcelo Azevedo & Lopes, Ana Lúcia Miranda & de Pinho Matos, Giordano Bruno Braz, 2015. "Statistical evaluation of Data Envelopment Analysis versus COLS Cobb–Douglas benchmarking models for the 2011 Brazilian tariff revision," Socio-Economic Planning Sciences, Elsevier, vol. 49(C), pages 47-60.
    20. Kristiaan Kerstens & Ignace Van de Woestyne, 2018. "Enumeration algorithms for FDH directional distance functions under different returns to scale assumptions," Annals of Operations Research, Springer, vol. 271(2), pages 1067-1078, December.
    21. Ahmad, Usman, 2011. "Financial Reforms and Banking Efficiency: Case of Pakistan," MPRA Paper 34220, University Library of Munich, Germany.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:jlands:v:14:y:2025:i:8:p:1549-:d:1711834. 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.