Abstract
With the rapid development of mariculture, environmental pollution is becoming more and more serious. It is particularly important to study the green output bias of technological progress for the long-term sustainable development of mariculture. Based on the input–output data of the mariculture in 10 Chinese coastal areas from 2008 to 2018, the DEA-Malmquist index decomposition method is used to calculate the output-biased technological progress index and combines with the change of marginal substitution rate of output factors in different periods to identify the bias of technological progress between output factors and analyze the green output bias of mariculture technological progress. The results show that green technological progress is a crucial factor affecting green total factor productivity’s growth in China’s mariculture. During the study period, the number of regions where technological progress tends to reduce pollutant emissions shows a fluctuating upward trend, and the degree of technological progress toward green output is high. There are obvious differences among regions. The green output bias of technological progress in the South China Sea area is the highest, followed by the East China Sea area, and the Bohai Sea area is poor. Specifically, the green output bias of technological progress in Fujian, Guangdong, and Hainan is higher, while the green output bias of technological progress in Tianjin, Hebei, Shandong, and Guangxi is lower. According to the research results, corresponding policy suggestions are provided to realize the green and sustainable development of China’s mariculture.
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Data and materials will be available from the corresponding author on reasonable request.
Change history
07 January 2023
A Correction to this paper has been published: https://doi.org/10.1007/s11356-022-25129-4
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Funding
The work was supported by the National Natural Science Foundation of China, Grant Number 71873127; the National Social Science Fund of China, Grant Number 19VHQ007; and the Shandong Social Science Planning Project, Grant Number 20AWTJ19.
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Jianyue Ji: conceptualization and formal analysis. Yanan Sun: data curation, investigation, methodology, software, visualization, writing—original draft. Xingmin Yin: writing—review and editing. All authors have read and agreed to the published version of the manuscript.
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Ji, J., Sun, Y. & Yin, X. Study on green output bias of China’s mariculture technological progress. Environ Sci Pollut Res 29, 60558–60571 (2022). https://doi.org/10.1007/s11356-022-20158-5
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DOI: https://doi.org/10.1007/s11356-022-20158-5