| Summary: | It is the only way for China's fishery low-carbon development to explore reasonable means of environmental regulation and appropriate intensity of environmental regulation to improve fishery carbon emission efficiency. Based on China's provincial panel data from 2004 to 2020, a super-efficiency SBM model containing unexpected output was used to estimate China's fishery carbon emission efficiency. On this basis, environmental regulations were divided into CER, MER and VER, and the spatial econometric model was used to empirically test the impact of the three environmental regulations on fishery carbon emission efficiency. The results showed that: (1) from the time dimension, the average annual growth rate of fishery carbon emission efficiency was 7.327% during the study period. From the spatial dimension, the carbon emission efficiency of fishery was low in the middle and high in the east and west. (2) The results of spatial Dubin model showed that there was significant heterogeneity in the effects of the three environmental regulations on fishery carbon emission efficiency in this region, and CER and MER had significant spatial spillover characteristics. (3) The results of the spatial quantile model showed that MER had an obvious promotion effect on the carbon emission efficiency of lower-level fisheries, while CER and VER had a weaker inhibition effect on the carbon emission efficiency of higher-level fisheries.
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