An evolutionary analysis of new energy and industry policy tools in China based on large-scale policy topic modeling.

This study investigates the evolution of provincial new energy policies and industries of China using a topic modeling approach. To this end, six out of 31 provinces in China are first selected as research samples, central and provincial new energy policies in the period of 2010 to 2019 are collecte...

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Autores principales: Qiqing Wang, Cunbin Li
Formato: article
Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2021
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Acceso en línea:https://doaj.org/article/0d8f65d3c288444d934372efaca9e6d9
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spelling oai:doaj.org-article:0d8f65d3c288444d934372efaca9e6d92021-12-02T20:11:12ZAn evolutionary analysis of new energy and industry policy tools in China based on large-scale policy topic modeling.1932-620310.1371/journal.pone.0252502https://doaj.org/article/0d8f65d3c288444d934372efaca9e6d92021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0252502https://doaj.org/toc/1932-6203This study investigates the evolution of provincial new energy policies and industries of China using a topic modeling approach. To this end, six out of 31 provinces in China are first selected as research samples, central and provincial new energy policies in the period of 2010 to 2019 are collected to establish a text corpus with 23, 674 documents. Then, the policy corpus is fed to two different topic models, one is the Latent Dirichlet Allocation for modeling static policy topics, another is the Dynamic Topic Model for extracting topics over time. Finally, the obtained topics are mapped into policy tools for comparisons. The dynamic policy topics are further analyzed with the panel data from provincial new energy industries. The results show that the provincial new energy policies moved to different tracks after about 2014 due to the regional conditions such as the economy and CO2 emission intensity. Underdeveloped provinces tend to use environment-oriented tools to regulate and control CO2 emissions, while developed regions employ the more balanced policy mix for improving new energy vehicles and other industries. Widespread hysteretic effects are revealed during the correlation analysis of the policy topics and new energy capacity.Qiqing WangCunbin LiPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 5, p e0252502 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Qiqing Wang
Cunbin Li
An evolutionary analysis of new energy and industry policy tools in China based on large-scale policy topic modeling.
description This study investigates the evolution of provincial new energy policies and industries of China using a topic modeling approach. To this end, six out of 31 provinces in China are first selected as research samples, central and provincial new energy policies in the period of 2010 to 2019 are collected to establish a text corpus with 23, 674 documents. Then, the policy corpus is fed to two different topic models, one is the Latent Dirichlet Allocation for modeling static policy topics, another is the Dynamic Topic Model for extracting topics over time. Finally, the obtained topics are mapped into policy tools for comparisons. The dynamic policy topics are further analyzed with the panel data from provincial new energy industries. The results show that the provincial new energy policies moved to different tracks after about 2014 due to the regional conditions such as the economy and CO2 emission intensity. Underdeveloped provinces tend to use environment-oriented tools to regulate and control CO2 emissions, while developed regions employ the more balanced policy mix for improving new energy vehicles and other industries. Widespread hysteretic effects are revealed during the correlation analysis of the policy topics and new energy capacity.
format article
author Qiqing Wang
Cunbin Li
author_facet Qiqing Wang
Cunbin Li
author_sort Qiqing Wang
title An evolutionary analysis of new energy and industry policy tools in China based on large-scale policy topic modeling.
title_short An evolutionary analysis of new energy and industry policy tools in China based on large-scale policy topic modeling.
title_full An evolutionary analysis of new energy and industry policy tools in China based on large-scale policy topic modeling.
title_fullStr An evolutionary analysis of new energy and industry policy tools in China based on large-scale policy topic modeling.
title_full_unstemmed An evolutionary analysis of new energy and industry policy tools in China based on large-scale policy topic modeling.
title_sort evolutionary analysis of new energy and industry policy tools in china based on large-scale policy topic modeling.
publisher Public Library of Science (PLoS)
publishDate 2021
url https://doaj.org/article/0d8f65d3c288444d934372efaca9e6d9
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