ORIGINAL RESEARCH
Analysis of Spatiotemporal Evolution
Characteristics of Carbon Emission Efficiency
in the Yangtze River Delta Region Based
on Super-Efficiency Slacks-based Measure
Data Envelopment Analysis Model
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1
School of Geographical Science, Nantong University, Nantong, 226019, China
2
Jiangsu Yangtze River Economic Belt Research Institute, Nantong, 226019, China
Submission date: 2025-10-05
Final revision date: 2025-11-22
Acceptance date: 2025-12-05
Online publication date: 2026-02-23
Corresponding author
Lei Ye
School of Geographical Science, Nantong University, Nantong, 226019, China
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ABSTRACT
Research on carbon emission efficiency (CEE) is critical for formulating effective climate
change mitigation strategies and advancing regional sustainable development. This study provides
a comprehensive analysis of the CEE in the Yangtze River Delta (YRD) region, a key economic
region in China, from 2012 to 2021. Employing the super-efficiency Slacks-based Measure Data
Envelopment Analysis (SBM-DEA) model to measure the static efficiency and the Malmquist index
to track dynamic productivity changes, we examine the spatiotemporal evolution across 41 prefecturelevel
cities. The results indicate that: 1) Temporally, the regional CEE exhibited a fluctuating upward
trend with a V-shaped recovery pattern, achieving an overall growth of 5.8% over the decade.
2) Spatially, the efficiency displayed a distinct core-periphery structure, forming significant clusters of
high-value and low-value zones. 3) Regionally, a clear hierarchical gradient was observed: Shanghai
> Jiangsu > Zhejiang > Anhui, which is strongly correlated with city size and administrative tier.
4) The spatial agglomeration pattern evolved from fragmented, small-scale clusters to more
consolidated, large-scale high-high agglomerations. This transition underscores the positive impact
of industrial green transformation and regional integration policies within the YRD, offering valuable
insights for low-carbon development planning in other urban agglomerations.