Evidence map›Paper›PMID 41696704›Full record

ArticleFrontiers in public health2025

How to achieve low-carbon development in China: spatial spillover of education on carbon intensity.

Congying Ma, Hongchao Wu

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Congying MaDepartment of Education, School of Educational Sciences, Lingnan Normal University, Zhanjiang, China.
Hongchao WuSchool of Education, South China Normal University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: With the looming global warming crisis, the question of how to achieve carbon neutrality is becoming an important issue confronting many countries. Although the spatial studies have indicated that education can spatially reduce the carbon intensity, they have ignored the transmission mechanism and dynamic interrelationship between education and carbon intensity. Methods: Based on spatial economics theory, this study uses a spatial Durbin model and spatial vector autoregressive model to examine how education affects carbon intensity and how they relate to each other in China's 30 provinces from 2000 to 2021. Results: The results show that education and the carbon intensity have positive global spatial autocorrelation. Education reduces the carbon intensity mainly through the spillover effect. The negative spillover effects in provinces with low carbon intensity are significantly greater than the direct effects are, whereas the spillover effects in provinces with high carbon intensity are negative but not significant. Education reduces the carbon intensity through green technology innovation and consumption structure upgrading. Furthermore, there is a dynamic interrelationship between education and carbon intensity. This study suggests that local governments should increase investment in education and focus on educational equity. They should also consider the spatial spillover effects of education when implementing tailored emission reduction policies based on local conditions. Additionally, educational institutions are encouraged to invest more in researching and promoting green technologies, as well as integrating low-carbon lifestyles into the education system. Discussion: The findings can help policymakers achieve sustainable development goals 4 and 13 and a net-zero future.

Indexed as

CarbonChinaGlobal WarmingHumansSpatial AnalysisCarboncarbon intensityeducationinfluence mechanismspatial Durbin modelspillover effect

Identifiers

PMID41696704
PMCPMC12904149

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.