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Spatial–Temporal Characteristics and Influencing Factors of Eco-Efficiency of Cultivated Land Use in the Yangtze River Delta Region

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  • Yeting Fan

    (School of Public Administration, Nanjing University of Finance & Economics, 3 Wenyuan Road, Qixia Distinct, Nanjing 210023, China
    The Key Laboratory of Carbon Neutrality and Territory Optimization, Ministry of Natural Resources, Nanjing 210023, China)

  • Wenjing Ning

    (School of Public Administration, Nanjing University of Finance & Economics, 3 Wenyuan Road, Qixia Distinct, Nanjing 210023, China)

  • Xinyuan Liang

    (School of Geography and Ocean Sciences, Nanjing University, Nanjing 210023, China)

  • Lingzhi Wang

    (College of Earth Sciences, Jilin University, Changchun 130061, China)

  • Ligang Lv

    (School of Public Administration, Nanjing University of Finance & Economics, 3 Wenyuan Road, Qixia Distinct, Nanjing 210023, China)

  • Ying Li

    (School of Public Administration, Nanjing University of Finance & Economics, 3 Wenyuan Road, Qixia Distinct, Nanjing 210023, China)

  • Junxiao Wang

    (School of Public Administration, Nanjing University of Finance & Economics, 3 Wenyuan Road, Qixia Distinct, Nanjing 210023, China)

Abstract

The sustainable utilization of regional cultivated land systems in the Yangtze River Delta (YRD) region over the past 40 years has been severely impacted by rapid urbanization processes. Improving the eco-efficiency of cultivated land use (ECLU) plays a significant role in achieving the sustainable utilization of farmland and high-quality development of agriculture and rural areas. In this study, the spatial–temporal features and influencing factors of the ECLU in the YRD are investigated by various methods, such as a super-efficient SBM model, hot spot analysis, Dagum Gini coefficient, and panel tobit model. The findings indicate the following: the ECLU showed an overall high level from 2000 to 2020; the ECLU varied significantly over time and space in the YRD. The ECLU presented obvious spatial agglomeration in the YRD: southern regions exhibited a concentration of cold spots, while hot spots were primarily found in the east and north of the YRD. The trend of regional differences in ECLU during the research period fluctuated upwards in the YRD, and the density difference super-variable was the main source of regional differences. Increases in urbanization level and GDP per capita contributed to ECLU enhancement in the YRD, and agricultural intensity levels and agricultural industrial structures played a negative role in ECLU improvement. Finally, we suggest that different regions should adapt to local conditions, scientifically and reasonably allocate cultivated land production resources, and promote the coordinated improvement of ECLU. This study could provide a reference for policymakers to formulate better decisions on cultivated land utilization and management.

Suggested Citation

  • Yeting Fan & Wenjing Ning & Xinyuan Liang & Lingzhi Wang & Ligang Lv & Ying Li & Junxiao Wang, 2024. "Spatial–Temporal Characteristics and Influencing Factors of Eco-Efficiency of Cultivated Land Use in the Yangtze River Delta Region," Land, MDPI, vol. 13(2), pages 1-20, February.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:2:p:219-:d:1336598
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    References listed on IDEAS

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    1. Xiang Luo & Zuo Zhang & Xinhai Lu & Lu Zhang, 2019. "Topographic heterogeneity, rural labour transfer and cultivated land use: An empirical study of plain and low‐hill areas in China," Papers in Regional Science, Wiley Blackwell, vol. 98(5), pages 2157-2178, October.
    2. Xiangzheng Deng & John Gibson, 2020. "Sustainable land use management for improving land eco-efficiency: a case study of Hebei, China," Annals of Operations Research, Springer, vol. 290(1), pages 265-277, July.
    3. 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.
    4. Dagum, Camilo, 1997. "A New Approach to the Decomposition of the Gini Income Inequality Ratio," Empirical Economics, Springer, vol. 22(4), pages 515-531.
    5. Greene, William H, 1981. "On the Asymptotic Bias of the Ordinary Least Squares Estimator of the Tobit Model," Econometrica, Econometric Society, vol. 49(2), pages 505-513, March.
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