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https://doi.org/10.31219/osf.i...
Article . 2024 . Peer-reviewed
License: CC BY
Data sources: Crossref
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ZENODO
Article . 2024
License: CC BY
Data sources: ZENODO
Journal of Economics and Business
Article . 2024 . Peer-reviewed
Data sources: Crossref
https://doi.org/10.2139/ssrn.4...
Article . 2024 . Peer-reviewed
Data sources: Crossref
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"Carbon Spectacular" - Exploring the Path to Enhance the Precision of Fiscal and Tax Support for Innovative Technologies in Energy Conservation and Emission Reduction

Authors: Siyi Xu; Jiachen Shou; Qiuqin Yang; Huaiwen Wang; Shunan Sheng; Weihua Gao;

"Carbon Spectacular" - Exploring the Path to Enhance the Precision of Fiscal and Tax Support for Innovative Technologies in Energy Conservation and Emission Reduction

Abstract

Since the 18th National Congress of the Communist Party of China, China has always placed technological innovation at the core of its development. In today's world, under the background of advocating "green manufacturing," energy conservation and emission reduction are the inevitable path to sustainable green development. This article primarily utilizes the method of data analysis to analyze the issues existing in fiscal and tax preferential policies in promoting technological innovation from the perspectives of literature review and tax preferential policy combing. These issues include the current fiscal and tax preferential policies leading enterprises to pursue the quantity rather than the quality of innovation, high policy thresholds, difficulties in expense allocation, limitations in tax incentives from multiple perspectives, and insufficient support for innovative talents in fiscal and tax policies. Based on these issues, a series of operable suggestions are proposed. It is hoped that this study can contribute to the revision and improvement of fiscal and tax preferential policies for technological innovation in energy conservation and emission reduction, providing effective theoretical references and inspirations.

Keywords

Arts and Humanities

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
hybrid