IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i13p5734-d1429149.html
   My bibliography  Save this article

Spatial and Temporal Differences and Influencing Factors of Eco-Efficiency of Cultivated Land Use in Main Grain-Producing Areas of China

Author

Listed:
  • Yan Ma

    (Food Safety Research Center, Key Research Institute of Humanities and Social Sciences of Hubei Province, Wuhan Polytechnic University, Wuhan 430048, China
    School of Management, Wuhan Polytechnic University, Wuhan 430048, China)

  • Xingyu Wang

    (Food Safety Research Center, Key Research Institute of Humanities and Social Sciences of Hubei Province, Wuhan Polytechnic University, Wuhan 430048, China
    School of Management, Wuhan Polytechnic University, Wuhan 430048, China)

  • Chuanliang Zhong

    (School of Urban and Environmental Sciences, Central China Normal University, Wuhan 430079, China)

Abstract

With global population growth and economic development, the sustainable utilization of arable land resources has become the key to guaranteeing food security and ecological balance. Eco-efficiency in cultivated land use (ECLU)has been increasingly emphasized as an important indicator of the coordinated development of agricultural production and the ecological environment. Studying ECLU in main grain-producing areas (MGPAs) is of great significance for realizing China’s food security guarantee, formulating and implementing scientific land use policies and measures, and safeguarding the long-term healthy development of agriculture. Based on provincial panel data of MGPA from 2008–2021, ECLU is calculated by the super-efficiency slacks-based measure model based on non-desired outputs (SSBM) and non-parametric kernel density estimation. The Dagum Gini coefficient decomposition model was used to explore the spatial non-equilibrium characteristics of ECLU in China, and the geographical and temporal weighted regression (GTWR) model was used to analyze the influencing factors of ECLU. The results showed the following: (1) ECLU in the MGPA showed a fluctuating upward trend, but the overall level was low. (2) In terms of regional disparity, the absolute difference in the development of ECLU among provinces showed a trend of “small-scale expansion followed by reduction”. (3) ECLU showed significant spatial imbalances, with notable internal disparities within the three basins. (4) The effects of economic development level and agricultural irrigation index on ECLU in the MGPA were positively correlated. Based on these findings, this paper suggests implementing region-specific and phased policies tailored to the natural resources and socio-economic conditions of different areas. The aim is to enhance the ecological environment, promote coordinated agricultural development, optimize regional growth, reduce agricultural disparities, and achieve sustainable development for both people and arable land.

Suggested Citation

  • Yan Ma & Xingyu Wang & Chuanliang Zhong, 2024. "Spatial and Temporal Differences and Influencing Factors of Eco-Efficiency of Cultivated Land Use in Main Grain-Producing Areas of China," Sustainability, MDPI, vol. 16(13), pages 1-22, July.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:13:p:5734-:d:1429149
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/13/5734/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/13/5734/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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).
    2. Luis Orea & Alan Wall, 2017. "A Parametric Approach to Estimating Eco-Efficiency," Journal of Agricultural Economics, Wiley Blackwell, vol. 68(3), pages 901-907, September.
    3. Tone, Kaoru, 2002. "A slacks-based measure of super-efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 143(1), pages 32-41, November.
    4. Ying Wang & Juan Yang & Caiquan Duan, 2023. "Research on the Spatial-Temporal Patterns of Carbon Effects and Carbon-Emission Reduction Strategies for Farmland in China," Sustainability, MDPI, vol. 15(13), pages 1-20, June.
    5. Yang, Xin & Zhou, Xiaohe & Deng, Xiangzheng, 2022. "Modeling farmers’ adoption of low-carbon agricultural technology in Jianghan Plain, China: An examination of the theory of planned behavior," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    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. 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.
    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. Jie Li & Zhengchuan Sun & Qin Gao & Yanbin Qi, 2024. "Evaluation of Cropland Utilization Eco-Efficiency and Influencing Factors in Primary Grain-Producing Regions of China," Agriculture, MDPI, vol. 14(2), pages 1-18, February.
    2. Ashrafi, Ali & Seow, Hsin-Vonn & Lee, Lai Soon & Lee, Chew Ging, 2013. "The efficiency of the hotel industry in Singapore," Tourism Management, Elsevier, vol. 37(C), pages 31-34.
    3. Chen, Yufeng & Ni, Liangfu & Liu, Kelong, 2021. "Does China's new energy vehicle industry innovate efficiently? A three-stage dynamic network slacks-based measure approach," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    4. Honma, Satoshi, 2012. "Environmental and economic efficiencies in the Asia-Pacific region," MPRA Paper 43361, University Library of Munich, Germany.
    5. Ruijing Zheng & Yu Cheng & Haimeng Liu & Wei Chen & Xiaodong Chen & Yaping Wang, 2022. "The Spatiotemporal Distribution and Drivers of Urban Carbon Emission Efficiency: The Role of Technological Innovation," IJERPH, MDPI, vol. 19(15), pages 1-22, July.
    6. Le Sun & Congmou Zhu & Shaofeng Yuan & Lixia Yang & Shan He & Wuyan Li, 2022. "Exploring the Impact of Digital Inclusive Finance on Agricultural Carbon Emission Performance in China," IJERPH, MDPI, vol. 19(17), pages 1-18, September.
    7. Senhua Huang & Lingming Chen, 2023. "The Impact of the Digital Economy on the Urban Total-Factor Energy Efficiency: Evidence from 275 Cities in China," Sustainability, MDPI, vol. 15(4), pages 1-20, February.
    8. Can Zhang & Jixia Li, 2024. "The Impact of Official Promotion Incentives on Urban Ecological Welfare Performance and Its Spatial Effect," Sustainability, MDPI, vol. 16(7), pages 1-29, April.
    9. Muliaman Hadad & Maximilian Hall & Karligash Kenjegalieva & Wimboh Santoso & Richard Simper, 2011. "Banking efficiency and stock market performance: an analysis of listed Indonesian banks," Review of Quantitative Finance and Accounting, Springer, vol. 37(1), pages 1-20, July.
    10. Gómez-Calvet, Roberto & Conesa, David & Gómez-Calvet, Ana Rosa & Tortosa-Ausina, Emili, 2014. "Energy efficiency in the European Union: What can be learned from the joint application of directional distance functions and slacks-based measures?," Applied Energy, Elsevier, vol. 132(C), pages 137-154.
    11. Jo, Ah-Hyun & Chang, Young-Tae, 2023. "The effect of airport efficiency on air traffic, using DEA and multilateral resistance terms gravity models," Journal of Air Transport Management, Elsevier, vol. 108(C).
    12. Hongli Liu & Xiaoyu Yan & Jinhua Cheng & Jun Zhang & Yan Bu, 2021. "Driving Factors for the Spatiotemporal Heterogeneity in Technical Efficiency of China’s New Energy Industry," Energies, MDPI, vol. 14(14), pages 1-21, July.
    13. Yi-Chung Hsu, 2014. "Efficiency in government health spending: a super slacks-based model," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(1), pages 111-126, January.
    14. Mousavi, Mohammad M. & Ouenniche, Jamal & Xu, Bing, 2015. "Performance evaluation of bankruptcy prediction models: An orientation-free super-efficiency DEA-based framework," International Review of Financial Analysis, Elsevier, vol. 42(C), pages 64-75.
    15. Chenchen Su & Jinchuan Shen & Fei Wang, 2024. "Can income growth and environmental improvements go hand in hand? An empirical study of Chinese agriculture," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 70(7), pages 321-333.
    16. Fan Wang & Lili Feng & Jin Li & Lin Wang, 2020. "Environmental Regulation, Tenure Length of Officials, and Green Innovation of Enterprises," IJERPH, MDPI, vol. 17(7), pages 1-16, March.
    17. Ningyi Liu & Yongyu Wang, 2022. "Urban Agglomeration Ecological Welfare Performance and Spatial Convergence Research in the Yellow River Basin," Land, MDPI, vol. 11(11), pages 1-18, November.
    18. Zhou, Lin & Fan, Jianshuang & Hu, Mingzhi & Yu, Xiaofen, 2024. "Clean air policy and green total factor productivity: Evidence from Chinese prefecture-level cities," Energy Economics, Elsevier, vol. 133(C).
    19. Loske, Dominic & Klumpp, Matthias, 2021. "Human-AI collaboration in route planning: An empirical efficiency-based analysis in retail logistics," International Journal of Production Economics, Elsevier, vol. 241(C).
    20. Nguyen Thi Kim Lien & Luyen Le Anh, 2024. "Adopting SBM-Max and Super SBM-Max to Evaluate the Efficiency of Freight Transportation Arrangement Providers: A Study in Vietnam," LOGI – Scientific Journal on Transport and Logistics, Sciendo, vol. 15(1), pages 73-84.

    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:jsusta:v:16:y:2024:i:13:p:5734-:d:1429149. 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.