| 摘要: |
| 在“双碳”目标下，中国资源型城
市亟待低碳转型与高质量发展。本文基于夜
间灯光数据反演碳排放，运用熵权法测度高
质量发展水平，结合相关空间分析方法和脱
钩模型，分析2000—2021 年115 个资源型城
市的碳排放与高质量发展时空变化特征及相
互联系。研究结论：第一，碳排放持续上
升，整体增幅297.39%，空间上呈中东部高、
西部和东北低的集聚特征；第二，高质量发
展水平先升后降，空间格局呈“东—中—
西”梯度递减，热点区稳定于中东部，冷点
区向东北转移；第三，碳排放与高质量发展
尚未脱钩，经济增长的驱动作用强于碳排放
抑制因素的削减效应。本研究为资源型城市
探索“双碳”目标下的高质量发展路径提供
参考。 |
| 关键词: 资源型城市 碳排放 高质量发
展 时空特征 脱钩 |
| DOI：10.13791/j.cnki.hsfwest.20251207003 |
| 分类号: |
| 基金项目:国家重点研发计划“政府间国际科技创新合作”重点专项（2022YFE0127700） |
|
| Measurement and spatio-temporal variation characteristics of carbon emissions and highqualitydevelopment levels in resource-based cities |
|
HAN Zhangqian,LI Jing,HAN Yu,YU Haixia
|
| Abstract: |
| Under the mounting pressures of global climate change and energy crises, achieving carbon
peak and neutrality goals has become a pivotal national strategy for China’s sustainable development.
Resource-based cities, which have historically relied on the extraction and processing of local
minerals and forests resources, constitute a crucial part of the country’s energy and resource security
framework. However, their typically mono-industrial structure, dominated by energy-intensive and
high-emission sectors, poses significant challenges to national carbon reduction goals while also
offering substantial potential for emission mitigation. Consequently, exploring pathways for these
cities to achieve synergistic progress in low-carbon transition and high-quality development is of
urgent theoretical and practical importance under the twin goals of carbon peak and carbon neutrality.
This study focused on 115 prefecture-level resource-based cities across China, utilizing carbon
emissions inverted from nighttime light data. The dataset was constructed by integrating and applying
continuity corrections, noise reduction, and inter-calibration to the DMSP-OLS (2000-2013) and NPPVIIRS
(2012-2021) imagery, enhancing spatial comparability and temporal consistency. Additionally,
this paper constructs a comprehensive, multidimensional evaluation system to measure high-quality
development levels. Moving beyond generic frameworks, the system incorporated indicators specific
to resource-based cities' challenges and potentials. Grounded in the “new development philosophy”, it
assessed five key dimensions: innovation, coordination, openness, sustainability, and sharing. The
entropy weight method, an objective weighting technique, was applied to synthesize these indicators
into a composite high-quality development index for each city annually. Spatio-temporal evolution
characteristics were analyzed using global spatial autocorrelation and hotspot/coldspot analysis. The
decoupling relationship between carbon emission growth and high-quality development progress was
examined using the decoupling model, replacing traditional GDP with the calculated high-quality
development index to assess their dynamic linkage. The main findings are as follows. 1) Spatiotemporal
Dynamics of Carbon Emissions. From 2000 to 2021, the total carbon emissions of these
resource-based cities exhibited a persistent upward trend, increasing by approximately 297.39% from
895.31 Mt to 3 557.90 Mt, with an average annual growth rate of 6.97%. The trend showed three
phases: rapid growth (2000-2012), a slight decline (2012-2016), and steady regrowth (2016-2021).
Spatially, emissions displayed significant agglomeration characteristics, forming a pattern of high in
the central and eastern regions, low in the western and northeastern regions. Cities in Shanxi, Hebei,
and northern Shaanxi experienced the most pronounced increases. Among city types, regenerative
cities had the highest absolute emissions, while growing cities exhibited the highest growth rate.
Regionally, central region cities surpassed eastern cities in total emissions after 2016, and western
cities overtook northeastern cities after 2017. 2) Spatio-temporal Evolution of High-QualityDevelopment. The overall high-quality development level of resource-based cities followed an inverted U-shaped trajectory, rising from an average index of
0.031 in 2000 to a peak of 0.256 in 2017, before declining to 0.151 in 2021. The overall increase across the period was 394.01%. Spatially, high-quality
development levels demonstrated significant positive spatial autocorrelation and a clear descending gradient from eastern to central to western regions. Hot
spots and sub-hot spots clusters were consistently concentrated in the eastern and central regions. In contrast, cold spot and sub-cold spot areas, initially
widespread in the northeast in the early 2000s, contracted and later shifted back towards northeastern and northern inland regions by 2021, indicating a growing
regional disparity in development quality. 3) The Decoupling Relationship between Carbon Emissions and High-quality Development. The decoupling analysis
reveals that a stable decoupling state between carbon emissions and high-quality development has not been achieved for resource-based cities as a whole. The
elasticity indices fluctuated significantly across the study period. Relative decoupling occurred in several years, where emission growth rate was positive but
lower than HQD growth rate. However, expansive negative decoupling was observed in periods like 2001-2002 and 2016-2017, both high-quality development
and emissions grow, with emission growth faster. More notably, strong negative decoupling occurred frequently, particularly after 2017. This indicates that the
driving force of economic growth still overwhelmingly surpasses the reduction effect of carbon emission inhibitors like technological efficiency gains and
structural adjustment in most years. The decoupling state remains unstable and fragile. |
| Key words: resource-based city carbon emissions high-quality development spatio-temporal characteristics decoupling |
