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The Spatial and Temporal Evolution of Coordination Degree Concerning China’s Cultivated Land Green Utilization Efficiency and High-Quality Agricultural Development

Author

Listed:
  • Min Zhou

    (School of Public Management, Liaoning University, Shenyang 110036, China)

  • Hanxiaoxue Sun

    (School of Public Management, Liaoning University, Shenyang 110036, China)

  • Nan Ke

    (College of Public Administration, Huazhong University of Science and Technology, Wuhan 430079, China)

Abstract

The cultivated land green utilization efficiency (CLGUE) is closely related to high-quality agricultural development (HAD), but the evolutionary characteristics of the relationship between HAD and CLGUE have received little study. In the context of the rural revitalization strategy and high-quality development in China, it is important to ensure food security and cultivated land system security through coordinating HAD and CLGUE. In this study, 31 Chinese provinces were used as the research object, and the entropy weight TOPSIS model and SBM-Undesirable model were used to measure HAD and CLGUE, respectively. In addition, the coupling coordination degree model and the geographical analysis model were used to investigate the development of coordination degree concerning HAD and CLGUE from both geographical and temporal perspectives. The following findings are the result of this study. Firstly, both China’s overall HAD and CLGUE exhibited an upward tendency, with average annual growth rates of 4.35% and 4.08%, respectively. Secondly, there was a volatility upward trend shown by the level of coordination degree regarding HAD and CLGUE in China. Additionally, the coordination degree showed significant spatial-temporal disparities across the 31 provinces due to the variance in the natural endowment of agricultural development resources. Lastly, the coordination degree concerning HAD and CLGUE throughout China showed obvious patterns of spatial agglomeration at the provincial level. However, the geographical aggregation and dispersion of the provinces with high or low coordination levels have diminished somewhat. Furthermore, there was a conversion from hot spot aggregation regions in MGPAs to cold spot aggregation regions in GPMBAs. The conclusions of the present study enrich the theoretical literature on the relationship between HAD and CLGUE, and provide an empirical reference for the policy maker of the developing pathway of “high HAD and high CLGUE”.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jlands:v:12:y:2022:i:1:p:127-:d:1021187
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    References listed on IDEAS

    as
    1. Zulfiqar, Farhad & Thapa, Gopal B., 2017. "Agricultural sustainability assessment at provincial level in Pakistan," Land Use Policy, Elsevier, vol. 68(C), pages 492-502.
    2. Xinhai Lu & Zhoumi Li & Hongzheng Wang & Yifeng Tang & Bixia Hu & Mingyue Gong & Yulong Li, 2022. "Evaluating Impact of Farmland Recessive Morphology Transition on High-Quality Agricultural Development in China," Land, MDPI, vol. 11(3), pages 1-19, March.
    3. Amartya K. Sen, 1966. "Peasants and Dualism with or without Surplus Labor," Journal of Political Economy, University of Chicago Press, vol. 74(5), pages 425-425.
    4. Helfand, Steven M. & Levine, Edward S., 2004. "Farm size and the determinants of productive efficiency in the Brazilian Center-West," Agricultural Economics, Blackwell, vol. 31(2-3), pages 241-249, December.
    5. Lai, Zhaohao & Chen, Meiqiu & Liu, Taoju, 2020. "Changes in and prospects for cultivated land use since the reform and opening up in China," Land Use Policy, Elsevier, vol. 97(C).
    6. Xie, Hualin & Chen, Qianru & Wang, Wei & He, Yafen, 2018. "Analyzing the green efficiency of arable land use in China," Technological Forecasting and Social Change, Elsevier, vol. 133(C), pages 15-28.
    7. Anselin, Luc & Getis, Arthur, 1992. "Spatial Statistical Analysis and Geographic Information Systems," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 26(1), pages 19-33, April.
    8. 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.
    9. 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.
    10. 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.
    11. Mei Yang & Mengyun Jiao & Jinyu Zhang, 2022. "Spatio-Temporal Analysis and Influencing Factors of Rural Resilience from the Perspective of Sustainable Rural Development," IJERPH, MDPI, vol. 19(19), pages 1-24, September.
    12. Xinhai Lu & Bing Kuang & Jing Li & Jing Han & Zuo Zhang, 2018. "Dynamic Evolution of Regional Discrepancies in Carbon Emissions from Agricultural Land Utilization: Evidence from Chinese Provincial Data," Sustainability, MDPI, vol. 10(2), pages 1-13, February.
    13. 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.
    14. Yafei Wang & Li Xie & Yi Zhang & Chunyun Wang & Ke Yu, 2019. "Does FDI Promote or Inhibit the High-Quality Development of Agriculture in China? An Agricultural GTFP Perspective," Sustainability, MDPI, vol. 11(17), pages 1-19, August.
    15. Qianru Chen & Hualin Xie, 2019. "Temporal-Spatial Differentiation and Optimization Analysis of Cultivated Land Green Utilization Efficiency in China," Land, MDPI, vol. 8(11), pages 1-17, October.
    16. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    17. Paul G. Bain & Pieter M. Kroonenberg & Lars-Olof Johansson & Taciano L. Milfont & Charlie R. Crimston & Tim Kurz & Ekaterina Bushina & Carolina Calligaro & Christophe Demarque & Yanjun Guan & Joonha P, 2019. "Public views of the Sustainable Development Goals across countries," Nature Sustainability, Nature, vol. 2(9), pages 819-825, September.
    18. Dongdong Ma & Guifang Li & Feng He, 2021. "Exploring PM2.5 Environmental Efficiency and Its Influencing Factors in China," IJERPH, MDPI, vol. 18(22), pages 1-15, November.
    19. Shuai Qin & Zheying Han & Hong Chen & Haokun Wang & Cheng Guo, 2022. "High-Quality Development of Chinese Agriculture under Factor Misallocation," IJERPH, MDPI, vol. 19(16), pages 1-20, August.
    20. 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.
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