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Spatial Differentiation and Dynamic Evolution of Environmental Efficiency in Wheat Planting in China

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  • Yaguai Yu

    (Business School, Ningbo University, Ningbo 315211, China
    Donghai Academy, Ningbo University, Ningbo 315211, China)

  • Zanzan Xu

    (Business School, Ningbo University, Ningbo 315211, China)

  • Yuting Li

    (Business School, Ningbo University, Ningbo 315211, China)

Abstract

Improving the environmental efficiency of planting is one of the emphases of current agricultural work. The environmental efficiency of wheat planting brings some challenges to the regional coordinated development of wheat planting. In this paper, an SBM-undesirable model was used to measure the environmental efficiency of wheat planting in 14 Provinces of China from 2014 to 2018, with Theil index and kernel density estimation methods used to analyze its spatial variation and dynamic evolution. The results show that the spatial distribution pattern of wheat planting environmental efficiency was higher in the north and lower in 2018; Theil index decomposition results show that the overall difference decreased first and then increased, and that regional difference was the main reason. After considering the spatial factors, the interaction effect of wheat planting environmental efficiency among some different regions is considered.

Suggested Citation

  • Yaguai Yu & Zanzan Xu & Yuting Li, 2022. "Spatial Differentiation and Dynamic Evolution of Environmental Efficiency in Wheat Planting in China," Sustainability, MDPI, vol. 14(9), pages 1-15, April.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:9:p:5241-:d:802749
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    References listed on IDEAS

    as
    1. Atakelty Hailu & Terrence S. Veeman, 2001. "Non-parametric Productivity Analysis with Undesirable Outputs: An Application to the Canadian Pulp and Paper Industry," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(3), pages 605-616.
    2. 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.
    3. Seiford, Lawrence M. & Zhu, Joe, 2002. "Modeling undesirable factors in efficiency evaluation," European Journal of Operational Research, Elsevier, vol. 142(1), pages 16-20, October.
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