IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i6p3685-d776131.html
   My bibliography  Save this article

Spatiotemporal Evolution of the Environmental Adaptability Efficiency of the Agricultural System in China

Author

Listed:
  • Xianglong Tang

    (School of Architecture and Urban Planning, Lanzhou Jiaotong University, Lanzhou 730070, China)

  • Chenyu Lu

    (School of Architecture and Urban Planning, Lanzhou Jiaotong University, Lanzhou 730070, China)

  • Peng Meng

    (College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China)

  • Wei Cheng

    (College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China)

Abstract

Since its emergence, the development of agriculture has always been closely related to changes in the natural environment. The productivity and development of agriculture largely depend on natural conditions and agriculture and has an important impact on the environment. The development of modern conventional agriculture has also led to a series of ecological, economic, and social problems that threaten human development and sustenance. China has historically been heavily reliant on agriculture and provides food and clothing for approximately 22% of the world’s population while only accounting for 9% of the world’s cultivated land and 6% of freshwater resources. Since the 21st century, the agricultural development of China has faced increasing resource and environmental constraints due to rapid industrialization and urbanization. Based on the perspective of efficiency evolution, data envelopment analysis (DEA) and spatial autocorrelation analysis (SAA) were used to test the environment adaptability efficiency within China’s agricultural systems across 30 provinces, autonomous regions, and municipalities, and explore its temporal and spatial evolution patterns and characteristics. Our study thus possesses both theoretical and practical significance. Furthermore, this study would enable the development of methods to assess China’s agricultural systems, in addition to providing a theoretical basis and guidelines for the creation of sustainable agriculture development strategies both in China and in other countries and regions. The following are the main conclusions of this study: (1) from 2000 to 2018, the overall environmental adaptability efficiency within China’s agricultural systems exhibited a gradual upward trend, achieving a transition from medium-level efficiency towards high-level efficiency, and the environmental adaptability of agricultural systems continued to increase. However, a certain gap remained between the level achieved and the DEA’s level of effectiveness, and therefore additional efforts are required to close this gap. (2) The environmental adaptability efficiency within China’s agricultural system showed a significant positive correlation in spatial distribution. Particularly, clear spatial aggregation characteristics were observed at the provincial level, which was also characterized by strong features of spatial dependence and spatial heterogeneity. Moreover, the degree of spatial aggregation increased gradually over time. High-value areas were mainly located along the southeast coastal area, whereas low-value areas were primarily located in the inland areas of the northwest. Therefore, environmental adaptability efficiency generally followed a northwest-southeast spatial distribution.

Suggested Citation

  • Xianglong Tang & Chenyu Lu & Peng Meng & Wei Cheng, 2022. "Spatiotemporal Evolution of the Environmental Adaptability Efficiency of the Agricultural System in China," Sustainability, MDPI, vol. 14(6), pages 1-15, March.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:6:p:3685-:d:776131
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/6/3685/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/6/3685/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bhatasara, Sandra, 2018. "Understanding adaptation to climate variability in smallholder farming systems in eastern Zimbabwe: a sociological perspective," Review of Agricultural, Food and Environmental Studies, Institut National de la Recherche Agronomique (INRA), vol. 99(2), June.
    2. Ali Akbar Barati & Hossein Azadi & Milad Dehghani Pour & Philippe Lebailly & Mostafa Qafori, 2019. "Determining Key Agricultural Strategic Factors Using AHP-MICMAC," Sustainability, MDPI, vol. 11(14), pages 1-17, July.
    3. Dawit K. Mekonnen & David J. Spielman & Esendugue Greg Fonsah & Jeffrey H. Dorfman, 2015. "Innovation systems and technical efficiency in developing-country agriculture," Agricultural Economics, International Association of Agricultural Economists, vol. 46(5), pages 689-702, September.
    4. Christian Nsiah & Bichaka Fayissa, 2019. "Trends in Agricultural Production Efficiency and their Implications for Food Security in Sub‐Saharan African Countries," African Development Review, African Development Bank, vol. 31(1), pages 28-42, March.
    5. Chenyu Lu & Peng Meng & Xueyan Zhao & Lu Jiang & Zilong Zhang & Bing Xue, 2019. "Assessing the Economic-Environmental Efficiency of Energy Consumption and Spatial Patterns in China," Sustainability, MDPI, vol. 11(3), pages 1-17, January.
    6. Sandra Bhatasara, 2018. "Understanding adaptation to climate variabilityin smallholder farming systems in eastern Zimbabwe:a sociological perspective," Review of Agricultural, Food and Environmental Studies, INRA Department of Economics, vol. 99(2), pages 149-166.
    7. Sandra Bhatasara, 2018. "Understanding adaptation to climate variability in smallholder farming systems in eastern Zimbabwe: a sociological perspective," Review of Agricultural, Food and Environmental Studies, Springer, vol. 99(2), pages 149-166, September.
    8. Asif Reza Anik & Sanzidur Rahman & Jaba Rani Sarker, 2017. "Agricultural Productivity Growth and the Role of Capital in South Asia (1980–2013)," Sustainability, MDPI, vol. 9(3), pages 1-24, March.
    9. 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.
    10. Walters, Jeffrey P. & Archer, David W. & Sassenrath, Gretchen F. & Hendrickson, John R. & Hanson, Jon D. & Halloran, John M. & Vadas, Peter & Alarcon, Vladimir J., 2016. "Exploring agricultural production systems and their fundamental components with system dynamics modelling," Ecological Modelling, Elsevier, vol. 333(C), pages 51-65.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Andra Lovasz & Nicu Cornel Sabau & Ioana Borza & Radu Brejea, 2023. "Production and Quality of Biodiesel under the Influence of a Rapeseed Fertilization System," Energies, MDPI, vol. 16(9), pages 1-27, April.
    2. Hui Wen & Yi Li & Zirong Li & Xiaoxue Cai & Fengxia Wang, 2022. "Spatial Differentiation of Carbon Budgets and Carbon Balance Zoning in China Based on the Land Use Perspective," Sustainability, MDPI, vol. 14(20), pages 1-20, October.
    3. Leonidas Sotirios Kyrgiakos & Georgios Kleftodimos & George Vlontzos & Panos M. Pardalos, 2023. "A systematic literature review of data envelopment analysis implementation in agriculture under the prism of sustainability," Operational Research, Springer, vol. 23(1), pages 1-38, March.
    4. Luo Muchen & Rosita Hamdan & Rossazana Ab-Rahim, 2022. "Data-Driven Evaluation and Optimization of Agricultural Environmental Efficiency with Carbon Emission Constraints," Sustainability, MDPI, vol. 14(19), pages 1-22, September.

    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. Hao Guo & Yaoyao Wu & Yanrui Shang & Hao Yu & Jing’ai Wang, 2019. "Quantifying Farmers’ Initiatives and Capacity to Cope with Drought: A Case Study of Xinghe County in Semi-Arid China," Sustainability, MDPI, vol. 11(7), pages 1-19, March.
    2. 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.
    3. Lingzhang Kong & Jinye Li, 2022. "Digital Economy Development and Green Economic Efficiency: Evidence from Province-Level Empirical Data in China," Sustainability, MDPI, vol. 15(1), pages 1-26, December.
    4. Büschken, Joachim, 2009. "When does data envelopment analysis outperform a naïve efficiency measurement model?," European Journal of Operational Research, Elsevier, vol. 192(2), pages 647-657, January.
    5. 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).
    6. Honma, Satoshi, 2012. "Environmental and economic efficiencies in the Asia-Pacific region," MPRA Paper 43361, University Library of Munich, Germany.
    7. 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.
    8. 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.
    9. 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.
    10. Adom, Philip Kofi & Adams, Samuel, 2020. "Decomposition of technical efficiency in agricultural production in Africa into transient and persistent technical efficiency under heterogeneous technologies," World Development, Elsevier, vol. 129(C).
    11. Artur Wyszyński, 2017. "Sytuacja finansowa klubów Ekstraklasy w ujęciu metody DEA," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 2, pages 69-99.
    12. Wang, Xiuli, 2023. "Exploring the role of resource industry dependence and green finance in green development efficiency in the context of post-Covid-19 period," Resources Policy, Elsevier, vol. 85(PB).
    13. 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.
    14. 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.
    15. Zhao, Xing & Guo, Yifan & Feng, Tianchu, 2023. "Towards green recovery: Natural resources utilization efficiency under the impact of environmental information disclosure," Resources Policy, Elsevier, vol. 83(C).
    16. Zhangsheng Liu & Xiaolu Zhang & Liuqingqing Yang & Yinjie Shen, 2021. "Access to Digital Financial Services and Green Technology Advances: Regional Evidence from China," Sustainability, MDPI, vol. 13(9), pages 1-14, April.
    17. Mario Fortin & André Leclerc, 2011. "L’Efficience Des Cooperatives De Services Financiers: Une Analyse De La Contribution Du Milieu," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 82(1), pages 45-62, March.
    18. Matinzadeh, Mohammad Mehdi & Abedi Koupai, Jahangir & Sadeghi-Lari, Adnan & Nozari, Hamed & Shayannejad, Mohammad, 2017. "Development of an innovative integrated model for the simulation of nitrogen dynamics in farmlands with drainage systems using the system dynamics approach," Ecological Modelling, Elsevier, vol. 347(C), pages 11-28.
    19. 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.
    20. Tonnang, Henri E.Z. & Hervé, Bisseleua D.B. & Biber-Freudenberger, Lisa & Salifu, Daisy & Subramanian, Sevgan & Ngowi, Valentine B. & Guimapi, Ritter Y.A. & Anani, Bruce & Kakmeni, Francois M.M. & Aff, 2017. "Advances in crop insect modelling methods—Towards a whole system approach," Ecological Modelling, Elsevier, vol. 354(C), pages 88-103.

    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:14:y:2022:i:6:p:3685-:d:776131. 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.