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Article

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

1
College of Agriculture, Guangxi University, Nanning 530004, China
2
Research Institute of Forestry Policy and Information, Chinese Academy of Forestry, Beijing 100091, China
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Land 2025, 14(8), 1549; https://doi.org/10.3390/land14081549
Submission received: 17 June 2025 / Revised: 16 July 2025 / Accepted: 24 July 2025 / Published: 28 July 2025
(This article belongs to the Section Land Use, Impact Assessment and Sustainability)

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.
Keywords: eco-efficiency of cultivated land utilization; configuration analysis; Super-SBM model; dynamic QCA eco-efficiency of cultivated land utilization; configuration analysis; Super-SBM model; dynamic QCA

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MDPI and ACS Style

Xu, Z.; Duan, J.; Zhan, L.; Yan, C.; Huang, Z. Multifactor Configurational Pathways Driving the Eco-Efficiency of Cultivated Land Utilization in China: A Dynamic Panel QCA. Land 2025, 14, 1549. https://doi.org/10.3390/land14081549

AMA Style

Xu Z, Duan J, Zhan L, Yan C, Huang Z. Multifactor Configurational Pathways Driving the Eco-Efficiency of Cultivated Land Utilization in China: A Dynamic Panel QCA. Land. 2025; 14(8):1549. https://doi.org/10.3390/land14081549

Chicago/Turabian Style

Xu, Zihao, Jialong Duan, Lei Zhan, Chuanmin Yan, and Zhigang Huang. 2025. "Multifactor Configurational Pathways Driving the Eco-Efficiency of Cultivated Land Utilization in China: A Dynamic Panel QCA" Land 14, no. 8: 1549. https://doi.org/10.3390/land14081549

APA Style

Xu, Z., Duan, J., Zhan, L., Yan, C., & Huang, Z. (2025). Multifactor Configurational Pathways Driving the Eco-Efficiency of Cultivated Land Utilization in China: A Dynamic Panel QCA. Land, 14(8), 1549. https://doi.org/10.3390/land14081549

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