2023
DOI: 10.1080/14693062.2022.2161980
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Regional industrial redistribution and carbon emissions: a dynamic analysis for China

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Cited by 4 publications
(1 citation statement)
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“…Shen et al and other scholars analyzed the panel data of 5 departments in 30 provinces under the influence of a dynamic network with the help of the logarithmic mean Divisia index, and the results showed that the transfer of intensive industries in the new (host) region affected by the increase in emissions was higher than that in the original (home) region caused by the reduction of emissions. The formulation of key policies can effectively affect the industrial agglomeration and layout and thus intervene in carbon emissions [52]. Low-carbon development is an important guarantee for achieving high-quality development.…”
Section: Discussionmentioning
confidence: 99%
“…Shen et al and other scholars analyzed the panel data of 5 departments in 30 provinces under the influence of a dynamic network with the help of the logarithmic mean Divisia index, and the results showed that the transfer of intensive industries in the new (host) region affected by the increase in emissions was higher than that in the original (home) region caused by the reduction of emissions. The formulation of key policies can effectively affect the industrial agglomeration and layout and thus intervene in carbon emissions [52]. Low-carbon development is an important guarantee for achieving high-quality development.…”
Section: Discussionmentioning
confidence: 99%