Spatio-temporal heterogeneity and topic evolution trends of public carbon neutrality attention in China

This study examines the spatiotemporal evolution and regional disparities in public attention to carbon neutrality under the ”dual carbo” goals to inform more effective policy design. Departing from traditional single-dimensional approaches, it introduces an interdisciplinary analytical framework—spatiotemporal measurement, sentiment analysis, and topic evolution—to capture dynamic shifts in public discourse on carbon neutrality in China, based on 119,000 Sina Weibo posts (2018–2023). The study makes the following key contributions: (1) It applies Dagum Gini coefficient decomposition and kernel density estimation to identify regional attention patterns, revealing higher attention in central regions, lower levels in the west, and evident ”multi-polarization” within regions; (2) It develops a CNN-BiLSTM-Attention model for sentiment classification, demonstrating that the emotional polarity of topics such as ”low-carbon lifestyle” closely aligns with policy promulgation frequency; (3) It employs the VSTC clustering model to examine topic evolution, identifying four major thematic trajectories: individual environmental behavior, green economy, global governance, and sustainable development. These reflect a progression from micro-level personal actions to macro-level policies and industrial practices. Overall, this study provides a solid quantitative basis for optimizing carbon neutrality policies in China. • Text mining and topic modeling techniques are utilized to examine the focal points of public attention regarding carbon neutrality and the temporal evolution of this attention. • The analysis uncovers the spatio-temporal heterogeneity in the distribution of public attention toward carbon neutrality across different regions, along with the underlying factors contributing to these variations. • The thematic evolution approach is employed to elucidate two primary evolutionary trends in public focus over the past six years: differentiation and integration. • The emotional attitudes of the public toward various topics are assessed, highlighting the prevalence of positive sentiments in areas such as green construction and climate governance.

Authors

Institutions

Publication Details

Journal
Ecological Informatics
Published
2025-06-21
DOI
https://doi.org/10.1016/j.ecoinf.2025.103274
Citations
1
Primary Topic
Climate Change Communication and Perception
Type
article
Field-Weighted Citation Impact
4.20
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Spatio-temporal heterogeneity and topic evolution trends of public carbon neutrality attention in China

Congying Ma, Lifang Fu
1 citations
Ecological Informatics
Climate Change Communication and Perception
4.20
article

Spatio-temporal heterogeneity and topic evolution trends of public carbon neutrality attention in China

Congying Ma, Lifang Fu
article en
1 citations

Abstract

This study examines the spatiotemporal evolution and regional disparities in public attention to carbon neutrality under the ”dual carbo” goals to inform more effective policy design. Departing from traditional single-dimensional approaches, it introduces an interdisciplinary analytical framework—spatiotemporal measurement, sentiment analysis, and topic evolution—to capture dynamic shifts in public discourse on carbon neutrality in China, based on 119,000 Sina Weibo posts (2018–2023). The study makes the following key contributions: (1) It applies Dagum Gini coefficient decomposition and kernel density estimation to identify regional attention patterns, revealing higher attention in central regions, lower levels in the west, and evident ”multi-polarization” within regions; (2) It develops a CNN-BiLSTM-Attention model for sentiment classification, demonstrating that the emotional polarity of topics such as ”low-carbon lifestyle” closely aligns with policy promulgation frequency; (3) It employs the VSTC clustering model to examine topic evolution, identifying four major thematic trajectories: individual environmental behavior, green economy, global governance, and sustainable development. These reflect a progression from micro-level personal actions to macro-level policies and industrial practices. Overall, this study provides a solid quantitative basis for optimizing carbon neutrality policies in China. • Text mining and topic modeling techniques are utilized to examine the focal points of public attention regarding carbon neutrality and the temporal evolution of this attention. • The analysis uncovers the spatio-temporal heterogeneity in the distribution of public attention toward carbon neutrality across different regions, along with the underlying factors contributing to these variations. • The thematic evolution approach is employed to elucidate two primary evolutionary trends in public focus over the past six years: differentiation and integration. • The emotional attitudes of the public toward various topics are assessed, highlighting the prevalence of positive sentiments in areas such as green construction and climate governance.

Ecological InformaticsVol. 90
Northeast Agricultural University (CN)
Climate action
Openalex Percentile: Top 7%
Climate Change Communication and Perception
4.20
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.