IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v9y2020i12p475-d451981.html
   My bibliography  Save this article

Green Transition of Cultivated Land Use in the Yellow River Basin: A Perspective of Green Utilization Efficiency Evaluation

Author

Listed:
  • Xiao Lu

    (School of Humanities and Law, Northeastern University, Shenyang 110169, China
    School of Geography and Tourism, Qufu Normal University, Rizhao 276826, China)

  • Yi Qu

    (School of Geography and Tourism, Qufu Normal University, Rizhao 276826, China)

  • Piling Sun

    (School of Geography and Tourism, Qufu Normal University, Rizhao 276826, China)

  • Wei Yu

    (School of Geography and Tourism, Qufu Normal University, Rizhao 276826, China)

  • Wenlong Peng

    (School of Geography and Tourism, Qufu Normal University, Rizhao 276826, China)

Abstract

Exploring the green transition of cultivated land use from the perspective of green utilization efficiency evaluation has become an important content of deepening the study of cultivated land use transition, which is of great significance to promote food security and ecological civilization construction. At present, there are few studies on the green utilization efficiency of cultivated land (GUECL), which covers the comprehensive benefits of economy, ecology and society, combined with the requirements of ecological civilization and green development. Taking 65 cities (regions and autonomous prefectures) of the Yellow River Basin as the basic evaluation unit, the GUECL of the Yellow River Basin is evaluated with a Super-SBM model. In general, the GUECL of the Yellow River Basin was not high at four time points of 2000, 2006, 2012 and 2018, which presents a trend of “rising first and then falling”. Analyzing its temporal and spatial evolution pattern, the GUECL in the upper, middle and lower reaches presented an order of the upper reaches area > the lower reaches area > the middle reaches area; and the spatial variation trend showed a decrease from west to east, and a U-shaped change in the south-north direction. Using spatial correlation analysis, except for the year 2000, the GUECL in the Yellow River Basin presents a general distribution characteristic of spatial agglomeration, which is positively correlated in 2006, 2012 and 2018. The change of spatio-temporal pattern is the result of internal and external factors. The former mainly displays in the main characteristics of farmers, family characteristics and farmers’ cognition, while the latter is reflected in natural, social and policy factors.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jlands:v:9:y:2020:i:12:p:475-:d:451981
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/9/12/475/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/9/12/475/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. ,, 2003. "Problems And Solutions," Econometric Theory, Cambridge University Press, vol. 19(4), pages 691-705, August.
    2. Allouche, Jeremy, 2011. "The sustainability and resilience of global water and food systems: Political analysis of the interplay between security, resource scarcity, political systems and global trade," Food Policy, Elsevier, vol. 36(Supplemen), pages 3-8, January.
    3. Muhammad Waqar Akram & Nida Akram & Wang Hongshu & Shahla Andleeb & Khalil ur Rehman & Umair Kashif & Ayesha Mehmood, 2019. "Impact of Land Use Rights on the Investment and Efficiency of Organic Farming," Sustainability, MDPI, vol. 11(24), pages 1-18, December.
    4. 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.
    5. ,, 2003. "Problems And Solutions," Econometric Theory, Cambridge University Press, vol. 19(5), pages 879-883, October.
    6. Allouche, Jeremy, 2011. "The sustainability and resilience of global water and food systems: Political analysis of the interplay between security, resource scarcity, political systems and global trade," Food Policy, Elsevier, vol. 36(S1), pages 3-8.
    7. Kui Yang & Taiyang Zhong & Yu Zhang & Qi Wen, 2020. "Total factor productivity of urban land use in China," Growth and Change, Wiley Blackwell, vol. 51(4), pages 1784-1803, December.
    8. Hualin Xie & Peng Wang & Guanrong Yao, 2014. "Exploring the Dynamic Mechanisms of Farmland Abandonment Based on a Spatially Explicit Economic Model for Environmental Sustainability: A Case Study in Jiangxi Province, China," Sustainability, MDPI, vol. 6(3), pages 1-23, March.
    9. ,, 2003. "Problems And Solutions," Econometric Theory, Cambridge University Press, vol. 19(6), pages 1195-1198, December.
    10. Marco Zitti & Carlotta Ferrara & Luigi Perini & Margherita Carlucci & Luca Salvati, 2015. "Long-Term Urban Growth and Land Use Efficiency in Southern Europe: Implications for Sustainable Land Management," Sustainability, MDPI, vol. 7(3), pages 1-27, March.
    11. ,, 2003. "Problems And Solutions," Econometric Theory, Cambridge University Press, vol. 19(1), pages 225-228, February.
    12. Kuang, Bing & Lu, Xinhai & Zhou, Min & Chen, Danling, 2020. "Provincial cultivated land use efficiency in China: Empirical analysis based on the SBM-DEA model with carbon emissions considered," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    13. Lu, Xiao & Shi, Yangyang & Chen, Changling & Yu, Miao, 2017. "Monitoring cropland transition and its impact on ecosystem services value in developed regions of China: A case study of Jiangsu Province," Land Use Policy, Elsevier, vol. 69(C), pages 25-40.
    14. Hualin Xie & Yanwei Zhang & Yongrok Choi, 2018. "Measuring the Cultivated Land Use Efficiency of the Main Grain-Producing Areas in China under the Constraints of Carbon Emissions and Agricultural Nonpoint Source Pollution," Sustainability, MDPI, vol. 10(6), pages 1-32, June.
    15. 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.
    16. Chieko Umetsu & Thamana Lekprichakul & Ujjayant Chakravorty, 2003. "Efficiency and Technical Change in the Philippine Rice Sector: A Malmquist Total Factor Productivity Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(4), pages 943-963.
    17. ,, 2003. "Problems And Solutions," Econometric Theory, Cambridge University Press, vol. 19(2), pages 411-413, April.
    18. Kaoru Tone, 2011. "Slacks-Based Measure of Efficiency," International Series in Operations Research & Management Science, in: William W. Cooper & Lawrence M. Seiford & Joe Zhu (ed.), Handbook on Data Envelopment Analysis, chapter 0, pages 195-209, Springer.
    19. Skevas, Theodoros & Stefanou, Spiro E. & Oude Lansink, Alfons, 2014. "Pesticide use, environmental spillovers and efficiency: A DEA risk-adjusted efficiency approach applied to Dutch arable farming," European Journal of Operational Research, Elsevier, vol. 237(2), pages 658-664.
    20. Verena Seufert & Navin Ramankutty & Jonathan A. Foley, 2012. "Comparing the yields of organic and conventional agriculture," Nature, Nature, vol. 485(7397), pages 229-232, May.
    21. Yushuo Zhang & Xiao Lu & Boyu Liu & Dianting Wu, 2018. "Impacts of Urbanization and Associated Factors on Ecosystem Services in the Beijing-Tianjin-Hebei Urban Agglomeration, China: Implications for Land Use Policy," Sustainability, MDPI, vol. 10(11), pages 1-17, November.
    22. Lu, Xiao & Peng, Wenlong & Huang, Xianjin & Fu, Qianqian & Zhang, Quanjing, 2020. "Homestead management in China from the “separation of two rights” to the “separation of three rights”: Visualization and analysis of hot topics and trends by mapping knowledge domains of academic pape," Land Use Policy, Elsevier, vol. 97(C).
    23. Ge, Dazhuan & Long, Hualou & Zhang, Yingnan & Ma, Li & Li, Tingting, 2018. "Farmland transition and its influences on grain production in China," Land Use Policy, Elsevier, vol. 70(C), pages 94-105.
    24. 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.
    25. Ferreira, Marcelo Dias Paes & Féres, José Gustavo, 2020. "Farm size and Land use efficiency in the Brazilian Amazon," Land Use Policy, Elsevier, vol. 99(C).
    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. Yakut, Oguz, 2021. "Implementation of hydraulically driven barrel shooting control by utilizing artificial neural networks," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 190(C), pages 1206-1223.
    2. X. Qin & G. Huang, 2009. "An Inexact Chance-constrained Quadratic Programming Model for Stream Water Quality Management," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(4), pages 661-695, March.
    3. Md. Yousuf Gazi & Khandakar Tahmida Tafhim, 2019. "Investigation of Heavy-mineral Deposits Using Multispectral Satellite Imagery in the Eastern Coastal Margin of Bangladesh," Earth Sciences Malaysia (ESMY), Zibeline International Publishing, vol. 3(2), pages 16-22, October.
    4. Minghe Sun, 2005. "Warm-Start Routines for Solving Augmented Weighted Tchebycheff Network Programs in Multiple-Objective Network Programming," INFORMS Journal on Computing, INFORMS, vol. 17(4), pages 422-437, November.
    5. François Clautiaux & Cláudio Alves & José Valério de Carvalho & Jürgen Rietz, 2011. "New Stabilization Procedures for the Cutting Stock Problem," INFORMS Journal on Computing, INFORMS, vol. 23(4), pages 530-545, November.
    6. Tansel, Aysit & Karao?lan, Deniz, 2016. "The Causal Effect of Education on Health Behaviors: Evidence from Turkey," IZA Discussion Papers 10020, Institute of Labor Economics (IZA).
    7. Timothy K.M. Beatty & Erling Røed Larsen & Dag Einar Sommervoll, 2005. "Measuring the Price of Housing Consumption for Owners in the CPI," Discussion Papers 427, Statistics Norway, Research Department.
    8. Melega, Gislaine Mara & de Araujo, Silvio Alexandre & Jans, Raf, 2018. "Classification and literature review of integrated lot-sizing and cutting stock problems," European Journal of Operational Research, Elsevier, vol. 271(1), pages 1-19.
    9. Roth, Alvin E. & Sonmez, Tayfun & Utku Unver, M., 2005. "Pairwise kidney exchange," Journal of Economic Theory, Elsevier, vol. 125(2), pages 151-188, December.
    10. repec:dau:papers:123456789/5389 is not listed on IDEAS
    11. Wong, Patricia J.Y., 2015. "Eigenvalues of a general class of boundary value problem with derivative-dependent nonlinearity," Applied Mathematics and Computation, Elsevier, vol. 259(C), pages 908-930.
    12. A. Bensoussan & K. Sung & S. Yam, 2013. "Linear–Quadratic Time-Inconsistent Mean Field Games," Dynamic Games and Applications, Springer, vol. 3(4), pages 537-552, December.
    13. Kojima, Fuhito, 2013. "Efficient resource allocation under multi-unit demand," Games and Economic Behavior, Elsevier, vol. 82(C), pages 1-14.
    14. Chein-Shan Liu & Zhuojia Fu & Chung-Lun Kuo, 2017. "Directional Method of Fundamental Solutions for Three-dimensional Laplace Equation," Journal of Mathematics Research, Canadian Center of Science and Education, vol. 9(6), pages 112-123, December.
    15. Alberto Cabada & Om Kalthoum Wanassi, 2020. "Existence Results for Nonlinear Fractional Problems with Non-Homogeneous Integral Boundary Conditions," Mathematics, MDPI, vol. 8(2), pages 1-13, February.
    16. Odysseas Kosmas & Pieter Boom & Andrey P. Jivkov, 2021. "On the Geometric Description of Nonlinear Elasticity via an Energy Approach Using Barycentric Coordinates," Mathematics, MDPI, vol. 9(14), pages 1-16, July.
    17. Hossein Karshenas & Concha Bielza & Pedro Larrañaga, 2015. "Interval-based ranking in noisy evolutionary multi-objective optimization," Computational Optimization and Applications, Springer, vol. 61(2), pages 517-555, June.
    18. B. S. C. Campello & C. T. L. S. Ghidini & A. O. C. Ayres & W. A. Oliveira, 2022. "A residual recombination heuristic for one-dimensional cutting stock problems," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 30(1), pages 194-220, April.
    19. Beddoe, Gareth R. & Petrovic, Sanja, 2006. "Selecting and weighting features using a genetic algorithm in a case-based reasoning approach to personnel rostering," European Journal of Operational Research, Elsevier, vol. 175(2), pages 649-671, December.
    20. Hans Wiklund, 2011. "Why High Participatory Ideals Fail In Practice: A Bottom-Up Approach To Public Nonparticipation In Eia," Journal of Environmental Assessment Policy and Management (JEAPM), World Scientific Publishing Co. Pte. Ltd., vol. 13(02), pages 159-178.
    21. Vítor João Pereira Domingues Martinho, 2020. "Exploring the Topics of Soil Pollution and Agricultural Economics: Highlighting Good Practices," Agriculture, MDPI, vol. 10(1), pages 1-19, January.

    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:jlands:v:9:y:2020:i:12:p:475-:d:451981. 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.