IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v20y2023i6p4786-d1091635.html
   My bibliography  Save this article

Spatio-Temporal Difference in Agricultural Eco-Efficiency and Its Influencing Factors Based on the SBM-Tobit Models in the Yangtze River Delta, China

Author

Listed:
  • Lin Shi

    (School of Economics and Management, Zhejiang Ocean University, Zhoushan 316022, China)

  • Xiaofei Shi

    (School of Economics and Management, Zhejiang Ocean University, Zhoushan 316022, China)

  • Fan Yang

    (School of Economics and Management, Zhejiang Ocean University, Zhoushan 316022, China)

  • Lixue Zhang

    (School of Economics and Management, Zhejiang Ocean University, Zhoushan 316022, China)

Abstract

In the Yangtze River Delta region, where the agricultural economy is well developed and agricultural pollution and carbon emissions are significant, a regional study of AEE (Agricultural Eco-Efficiency) is crucial to reducing agricultural environmental pollution, improving the rationalization of agricultural production layout, and promoting the realization of low-carbon goals. The SBM-Tobit model and GIS were employed to analyze AEE based on the carbon emission evaluation system in the spatial and temporal characteristics, as well as the influencing factors and the migration path of the center of gravity in the “low carbon” context. A rational plan of agricultural production was proposed according to the results. The following results were obtained: (1) The level of AEE in the Yangtze River Delta region was high, and the region exhibited a U-shaped curve change from 2000 to 2020, with a fluctuating decrease from 2000 to 2003 and a fluctuating increase from 2004 to 2020. The regional spatial development balance was enhanced, while there was a spatial incongruity in the development process of AEE enhancement, high in the southwest and low in the northeast; (2) AEE generally had a high regionalized agglomeration of low–low in the southwest and high–high in the northeast. Nonetheless, temporal heterogeneity was observed in spatial correlation, and the correlation weakened with time variation; (3) Urbanization level, agricultural production structure, crop cultivation structure, and fertilizer application intensity were the main factors influencing AEE in the Yangtze River Delta region; (4) The center of gravity of AEE in the Yangtze River Delta region shifted to the southwest under the influence of “low-carbon” related policies. Therefore, the improvement of AEE in the Yangtze River Delta region should focus on inter-regional coordination and linkages, rational planning of production factors, and the formulation of measures under relevant carbon policies.

Suggested Citation

  • Lin Shi & Xiaofei Shi & Fan Yang & Lixue Zhang, 2023. "Spatio-Temporal Difference in Agricultural Eco-Efficiency and Its Influencing Factors Based on the SBM-Tobit Models in the Yangtze River Delta, China," IJERPH, MDPI, vol. 20(6), pages 1-22, March.
  • Handle: RePEc:gam:jijerp:v:20:y:2023:i:6:p:4786-:d:1091635
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/20/6/4786/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/20/6/4786/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tim Coelli & Sanzidur Rahman & Colin Thirtle, 2003. "A stochastic frontier approach to total factor productivity measurement in Bangladesh crop agriculture, 1961-92," Journal of International Development, John Wiley & Sons, Ltd., vol. 15(3), pages 321-333.
    2. Liu, Yansui & Zou, Lilin & Wang, Yongsheng, 2020. "Spatial-temporal characteristics and influencing factors of agricultural eco-efficiency in China in recent 40 years," Land Use Policy, Elsevier, vol. 97(C).
    3. Deng, Xiangzheng & Gibson, John, 2019. "Improving eco-efficiency for the sustainable agricultural production: A case study in Shandong, China," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 394-400.
    4. Jan Polcyn, 2021. "Eco-Efficiency and Human Capital Efficiency: Example of Small- and Medium-Sized Family Farms in Selected European Countries," Sustainability, MDPI, vol. 13(12), pages 1-15, June.
    5. Han Zhou & Jiejun Huang & Yanbin Yuan, 2017. "Analysis of the Spatial Characteristics of the Water Usage Patterns Based on ESDA-GIS: An Example of Hubei Province, China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(5), pages 1503-1516, March.
    6. Derek Headey & Mohammad Alauddin & D.S. Prasada Rao, 2010. "Explaining agricultural productivity growth: an international perspective," Agricultural Economics, International Association of Agricultural Economists, vol. 41(1), pages 1-14, January.
    7. Tran, Trung Hieu & Mao, Yong & Nathanail, Paul & Siebers, Peer-Olaf & Robinson, Darren, 2019. "Integrating slacks-based measure of efficiency and super-efficiency in data envelopment analysis," Omega, Elsevier, vol. 85(C), pages 156-165.
    8. Quintas-Soriano, Cristina & Martín-López, Berta & Santos-Martín, Fernando & Loureiro, María & Montes, Carlos & Benayas, Javier & García-Llorente, Marina, 2016. "Ecosystem services values in Spain: A meta-analysis," Environmental Science & Policy, Elsevier, vol. 55(P1), pages 186-195.
    9. Hanqin Tian & Rongting Xu & Josep G. Canadell & Rona L. Thompson & Wilfried Winiwarter & Parvadha Suntharalingam & Eric A. Davidson & Philippe Ciais & Robert B. Jackson & Greet Janssens-Maenhout & Mic, 2020. "A comprehensive quantification of global nitrous oxide sources and sinks," Nature, Nature, vol. 586(7828), pages 248-256, October.
    10. Shen, Zhiyang & Baležentis, Tomas & Chen, Xueli & Valdmanis, Vivian, 2018. "Green growth and structural change in Chinese agricultural sector during 1997–2014," China Economic Review, Elsevier, vol. 51(C), pages 83-96.
    11. Preece, Luke D. & van Oosterzee, Penny & Dungey, Kym & Standley, Peta-Marie & Preece, Noel D., 2016. "Ecosystem service valuation reinforces world class value of Cape York Peninsula's ecosystems but environment and indigenous people lose out," Ecosystem Services, Elsevier, vol. 18(C), pages 154-164.
    12. Ekaterina Arabska, 2021. "From farm to fork: Human health and well-being through sustainable agri-food systems," JOURNAL OF LIFE ECONOMICS, Holistence Publications, vol. 8(1), pages .11-27, January.
    13. 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.
    14. Bonfiglio, Andrea & Arzeni, Andrea & Bodini, Antonella, 2017. "Assessing eco-efficiency of arable farms in rural areas," Agricultural Systems, Elsevier, vol. 151(C), pages 114-125.
    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. Guangyan Ran & Guangyao Wang & Huijuan Du & Mi Lv, 2023. "Relationship of Cooperative Management and Green and Low-Carbon Transition of Agriculture and Its Impacts: A Case Study of the Western Tarim River Basin," Sustainability, MDPI, vol. 15(11), pages 1-18, May.
    2. Mengyang Hou & Zenglei Xi & Suyan Zhao, 2022. "Evaluating the Heterogeneity Effect of Fertilizer Use Intensity on Agricultural Eco-Efficiency in China: Evidence from a Panel Quantile Regression Model," IJERPH, MDPI, vol. 19(11), pages 1-22, May.
    3. Zhuohui Yu & Qingning Lin & Changli Huang, 2022. "Re-Measurement of Agriculture Green Total Factor Productivity in China from a Carbon Sink Perspective," Agriculture, MDPI, vol. 12(12), pages 1-26, November.
    4. Changming Cheng & Jieqiong Li & Yuqing Qiu & Chunfeng Gao & Qiang Gao, 2022. "Evaluating the Spatiotemporal Characteristics of Agricultural Eco-Efficiency Alongside China’s Carbon Neutrality Targets," IJERPH, MDPI, vol. 19(23), pages 1-18, November.
    5. Zhiwei Pan & Decai Tang & Haojia Kong & Junxia He, 2022. "An Analysis of Agricultural Production Efficiency of Yangtze River Economic Belt Based on a Three-Stage DEA Malmquist Model," IJERPH, MDPI, vol. 19(2), pages 1-15, January.
    6. Shilin Li & Zhiyuan Zhu & Zhenzhong Dai & Jiajia Duan & Danmeng Wang & Yongzhong Feng, 2022. "Temporal and Spatial Differentiation and Driving Factors of China’s Agricultural Eco-Efficiency Considering Agricultural Carbon Sinks," Agriculture, MDPI, vol. 12(10), pages 1-17, October.
    7. Wu, Yinyin & Yu, Jie & Song, Malin & Chen, Jiandong & Hou, Wenxuan, 2021. "Shadow prices of industrial air pollutant emissions in China," Economic Modelling, Elsevier, vol. 94(C), pages 726-736.
    8. Yanling Chen & Weiwei Fu & Jingyun Wang, 2022. "Evaluation and Influencing Factors of China’s Agricultural Productivity from the Perspective of Environmental Constraints," Sustainability, MDPI, vol. 14(5), pages 1-20, February.
    9. Zhang, Sheng & Yu, Ran & Wen, Zuhui & Xu, Jiayu & Liu, Peihan & Zhou, Yunqiao & Zheng, Xiaoqi & Wang, Lei & Hao, Jiming, 2023. "Impact of labor and energy allocation imbalance on carbon emission efficiency in China's industrial sectors," Renewable and Sustainable Energy Reviews, Elsevier, vol. 184(C).
    10. Md Kamrul Hossain & Anton Abdulbasah Kamil & Md Azizul Baten & Adli Mustafa, 2012. "Stochastic Frontier Approach and Data Envelopment Analysis to Total Factor Productivity and Efficiency Measurement of Bangladeshi Rice," PLOS ONE, Public Library of Science, vol. 7(10), pages 1-9, October.
    11. Xiaoke Zhao & Xuhui Ding & Liang Li, 2021. "Research on Environmental Regulation, Technological Innovation and Green Transformation of Manufacturing Industry in the Yangtze River Economic Belt," Sustainability, MDPI, vol. 13(18), pages 1-15, September.
    12. 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.
    13. Taye, Fitalew Agimass & Folkersen, Maja Vinde & Fleming, Christopher M. & Buckwell, Andrew & Mackey, Brendan & Diwakar, K.C. & Le, Dung & Hasan, Syezlin & Ange, Chantal Saint, 2021. "The economic values of global forest ecosystem services: A meta-analysis," Ecological Economics, Elsevier, vol. 189(C).
    14. Guofeng Wang & Rui Shi & Lingchen Mi & Jinmiao Hu, 2022. "Agricultural Eco-Efficiency: Challenges and Progress," Sustainability, MDPI, vol. 14(3), pages 1-23, January.
    15. Sanzidur Rahman & Asif Reza Anik & Jaba Rani Sarker, 2022. "Climate, Environment and Socio-Economic Drivers of Global Agricultural Productivity Growth," Land, MDPI, vol. 11(4), pages 1-17, April.
    16. Chunbin Zhang & Rong Zhou & Jundong Hou & Mengtong Feng, 2022. "Spatial-Temporal Evolution and Convergence Characteristics of Agricultural Eco-Efficiency in China from a Low-Carbon Perspective," Sustainability, MDPI, vol. 14(24), pages 1-24, December.
    17. Lee, Hsuan-Shih, 2022. "Integrating SBM model and Super-SBM model: a one-model approach," Omega, Elsevier, vol. 113(C).
    18. Marinko Škare & Danijela Rabar, 2016. "Measuring Economic Growth Using Data Envelopment Analysis," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 18(42), pages 386-386, May.
    19. Czyżewski, Bazyli & Kryszak, Łukasz, 2023. "Can a pursuit of productivity be reconciled with sustainable practices in small-scale farming? – Evidence from central and eastern Europe," MPRA Paper 117642, University Library of Munich, Germany, revised 31 May 2023.
    20. Yingbin Feng & Mengxue Ke & Ting Zhou, 2022. "Spatio-Temporal Dynamics of Non-Grain Production of Cultivated Land in China," Sustainability, MDPI, vol. 14(21), pages 1-14, November.

    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:jijerp:v:20:y:2023:i:6:p:4786-:d:1091635. 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.