Abstract
In order to explore the evolution process of regional vegetable circulation efficiency and its influencing factors, this paper uses Super-SBM model considering unexpected output and GML index to calculate the vegetable circulation efficiency of 13 provinces (cities) in Central China and its surrounding areas from 2015 to 2019, then conducts spatial autocorrelation analysis on the vegetable circulation efficiency in this region through Moran index. Finally, SPDM model is constructed to explore the spatial effect of the influencing factors on the vegetable circulation efficiency in this region. The results show that (1) the vegetable circulation efficiency of most provinces (cities) in this region is low. (2) The Global Moran’s I of the vegetable circulation efficiency in this region is positive, that is, the vegetable circulation efficiency in this region shows a certain degree of spatial agglomeration effect. (3) The level of scientific and technological innovation and the degree of government support have significant positive direct and indirect effects on the efficiency of vegetable circulation in the region, the quality of workers has significant positive indirect effects, and the level of economic development and industrial structure have significant negative indirect effects.
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The datasets used or analyzed during the current study are available from the corresponding author on reasonable request.
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This work was supported by the Key Project of Soft Science Research in Henan Province (202400410051).
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All authors contributed to the study conception and design. Bingjun Li was responsible for proposing the overall idea and framework of the manuscript. Xueqiang Guo was responsible for data processing and writing of the first draft of the manuscript.
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Guo, X., Li, B. Analysis of regional vegetable circulation efficiency and its spatial effect considering carbon emission. Environ Sci Pollut Res 30, 81917–81928 (2023). https://doi.org/10.1007/s11356-022-22740-3
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DOI: https://doi.org/10.1007/s11356-022-22740-3