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The Impact of Digital Economy of Resource-Based City on Carbon Emissions Trading by Blockchain Technology
To reduce the carbon emission intensity of resource-based cities and strengthen the sustainable development of these cities, firstly, blockchain technology is analyzed. Secondly, the development of the digital economy is discussed in digital resource-based cities. Finally, according to blockchain te...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9217560/ https://www.ncbi.nlm.nih.gov/pubmed/35755745 http://dx.doi.org/10.1155/2022/6366061 |
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author | Zhang, Jiahao Li, Jingyi Ye, Duoduo Sun, Chuanqing |
author_facet | Zhang, Jiahao Li, Jingyi Ye, Duoduo Sun, Chuanqing |
author_sort | Zhang, Jiahao |
collection | PubMed |
description | To reduce the carbon emission intensity of resource-based cities and strengthen the sustainable development of these cities, firstly, blockchain technology is analyzed. Secondly, the development of the digital economy is discussed in digital resource-based cities. Finally, according to blockchain technology, a model of carbon emissions trading in the digital economy is designed, and the specific impact of the digital economy on carbon emissions trading is studied according to the model. The research results show that the mean value of the development index of the digital economy (digital) is −0.0168, the maximum value is 4.2560, the minimum value is −1.3429, and the standard deviation is 0.9572, indicating that the quality of digital economy development varies greatly among different regions. And according to the results of the digital model, it is found that the regression coefficient of the variable digital is significantly negative at the 1% level, showing that the digital economy will obviously suppress the carbon emission intensity of cities. After replacing the explained variables, the coefficient of the digital economy is still significantly negative. It indicates that the development of the digital economy can effectively suppress the carbon emission intensity of urban. Therefore, the designed model of carbon emissions trading under the blockchain technology can not only provide a secure platform for carbon emissions trading but also provide more comprehensive trading reference information for carbon emissions trading. It provides technical support for reducing the carbon emission intensity of resource-based cities and also contributes to the development of resource-based cities. |
format | Online Article Text |
id | pubmed-9217560 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-92175602022-06-23 The Impact of Digital Economy of Resource-Based City on Carbon Emissions Trading by Blockchain Technology Zhang, Jiahao Li, Jingyi Ye, Duoduo Sun, Chuanqing Comput Intell Neurosci Research Article To reduce the carbon emission intensity of resource-based cities and strengthen the sustainable development of these cities, firstly, blockchain technology is analyzed. Secondly, the development of the digital economy is discussed in digital resource-based cities. Finally, according to blockchain technology, a model of carbon emissions trading in the digital economy is designed, and the specific impact of the digital economy on carbon emissions trading is studied according to the model. The research results show that the mean value of the development index of the digital economy (digital) is −0.0168, the maximum value is 4.2560, the minimum value is −1.3429, and the standard deviation is 0.9572, indicating that the quality of digital economy development varies greatly among different regions. And according to the results of the digital model, it is found that the regression coefficient of the variable digital is significantly negative at the 1% level, showing that the digital economy will obviously suppress the carbon emission intensity of cities. After replacing the explained variables, the coefficient of the digital economy is still significantly negative. It indicates that the development of the digital economy can effectively suppress the carbon emission intensity of urban. Therefore, the designed model of carbon emissions trading under the blockchain technology can not only provide a secure platform for carbon emissions trading but also provide more comprehensive trading reference information for carbon emissions trading. It provides technical support for reducing the carbon emission intensity of resource-based cities and also contributes to the development of resource-based cities. Hindawi 2022-06-15 /pmc/articles/PMC9217560/ /pubmed/35755745 http://dx.doi.org/10.1155/2022/6366061 Text en Copyright © 2022 Jiahao Zhang et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Zhang, Jiahao Li, Jingyi Ye, Duoduo Sun, Chuanqing The Impact of Digital Economy of Resource-Based City on Carbon Emissions Trading by Blockchain Technology |
title | The Impact of Digital Economy of Resource-Based City on Carbon Emissions Trading by Blockchain Technology |
title_full | The Impact of Digital Economy of Resource-Based City on Carbon Emissions Trading by Blockchain Technology |
title_fullStr | The Impact of Digital Economy of Resource-Based City on Carbon Emissions Trading by Blockchain Technology |
title_full_unstemmed | The Impact of Digital Economy of Resource-Based City on Carbon Emissions Trading by Blockchain Technology |
title_short | The Impact of Digital Economy of Resource-Based City on Carbon Emissions Trading by Blockchain Technology |
title_sort | impact of digital economy of resource-based city on carbon emissions trading by blockchain technology |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9217560/ https://www.ncbi.nlm.nih.gov/pubmed/35755745 http://dx.doi.org/10.1155/2022/6366061 |
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