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Study on the Drivers of Inclusive Green Growth in China Based on the Digital Economy Represented by the Internet of Things (IoT)

With the vigorous development of digital economy based on digital technologies such as Internet of things (IoT), big data, and artificial intelligence, new vitality has been injected into China's economic model. Inclusive green growth (IGG) supports the transformation of society towards a bette...

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Autores principales: Liu, Xiaoxue, Fan, Shuangshuang, Cao, Fuzhen, Peng, Shengnan, Huang, Hongyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9467763/
https://www.ncbi.nlm.nih.gov/pubmed/36105642
http://dx.doi.org/10.1155/2022/8340371
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author Liu, Xiaoxue
Fan, Shuangshuang
Cao, Fuzhen
Peng, Shengnan
Huang, Hongyun
author_facet Liu, Xiaoxue
Fan, Shuangshuang
Cao, Fuzhen
Peng, Shengnan
Huang, Hongyun
author_sort Liu, Xiaoxue
collection PubMed
description With the vigorous development of digital economy based on digital technologies such as Internet of things (IoT), big data, and artificial intelligence, new vitality has been injected into China's economic model. Inclusive green growth (IGG) supports the transformation of society towards a better quality of life and well-being, as well as environmental protection. Therefore, it is crucial to identify the main drivers of IGG. However, IGG is subject to a variety of interpretations and lacks definitional clarity. To brigade this gap, this study primarily evaluates the performance of IGG and explores the key drivers on IGG in China. Specifically, the data envelopment analysis (DEA) model is employed to calculate IGG for 281 cities in China during 2005–2020. Subsequently, we take advantage of a nest of machine learning (ML) algorithm to demonstrate the vital drivers of urban IGG, which avoids the defects of endogenous linear hypothesis of traditional econometric methods. The results indicate that digitization represented by the IoT and other digital technology is the core drivers of the urban IGG in the overall sample, accounting for about 50% among all of drivers. This finding provides new evidence supporting the “high-quality development” strategy in China, as well as shedding light on grasping the principal fulcrum to achieve the transformation towards IGG in developing economies similar to China.
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spelling pubmed-94677632022-09-13 Study on the Drivers of Inclusive Green Growth in China Based on the Digital Economy Represented by the Internet of Things (IoT) Liu, Xiaoxue Fan, Shuangshuang Cao, Fuzhen Peng, Shengnan Huang, Hongyun Comput Intell Neurosci Research Article With the vigorous development of digital economy based on digital technologies such as Internet of things (IoT), big data, and artificial intelligence, new vitality has been injected into China's economic model. Inclusive green growth (IGG) supports the transformation of society towards a better quality of life and well-being, as well as environmental protection. Therefore, it is crucial to identify the main drivers of IGG. However, IGG is subject to a variety of interpretations and lacks definitional clarity. To brigade this gap, this study primarily evaluates the performance of IGG and explores the key drivers on IGG in China. Specifically, the data envelopment analysis (DEA) model is employed to calculate IGG for 281 cities in China during 2005–2020. Subsequently, we take advantage of a nest of machine learning (ML) algorithm to demonstrate the vital drivers of urban IGG, which avoids the defects of endogenous linear hypothesis of traditional econometric methods. The results indicate that digitization represented by the IoT and other digital technology is the core drivers of the urban IGG in the overall sample, accounting for about 50% among all of drivers. This finding provides new evidence supporting the “high-quality development” strategy in China, as well as shedding light on grasping the principal fulcrum to achieve the transformation towards IGG in developing economies similar to China. Hindawi 2022-09-05 /pmc/articles/PMC9467763/ /pubmed/36105642 http://dx.doi.org/10.1155/2022/8340371 Text en Copyright © 2022 Xiaoxue Liu 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
Liu, Xiaoxue
Fan, Shuangshuang
Cao, Fuzhen
Peng, Shengnan
Huang, Hongyun
Study on the Drivers of Inclusive Green Growth in China Based on the Digital Economy Represented by the Internet of Things (IoT)
title Study on the Drivers of Inclusive Green Growth in China Based on the Digital Economy Represented by the Internet of Things (IoT)
title_full Study on the Drivers of Inclusive Green Growth in China Based on the Digital Economy Represented by the Internet of Things (IoT)
title_fullStr Study on the Drivers of Inclusive Green Growth in China Based on the Digital Economy Represented by the Internet of Things (IoT)
title_full_unstemmed Study on the Drivers of Inclusive Green Growth in China Based on the Digital Economy Represented by the Internet of Things (IoT)
title_short Study on the Drivers of Inclusive Green Growth in China Based on the Digital Economy Represented by the Internet of Things (IoT)
title_sort study on the drivers of inclusive green growth in china based on the digital economy represented by the internet of things (iot)
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9467763/
https://www.ncbi.nlm.nih.gov/pubmed/36105642
http://dx.doi.org/10.1155/2022/8340371
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