Influence of land use intensity on urban carbon efficiency under a carbon neutrality target: Evidence from the Yangtze River Delta urban agglomeration, China

IF 9.8 1区 社会学 Q1 ENVIRONMENTAL STUDIES
Xu Wu , Shengyang Zhong , Gang Chen , Chenghe Wu , Jiayin Han , Zhiquan Qian
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Abstract

Urban carbon efficiency (UCE) is a critical measure for guiding cities in reducing carbon emissions while sustaining economic growth. Enhancing UCEs through efficient urban land use is considered a key strategy. However, while previous research has explored the impact of urban land use on carbon efficiency, the influence under the constraints of carbon neutrality targets remains underexamined. To fill this gap, we apply a super-efficiency slack-based measure (SBM) model combined with a seemingly unrelated regression (SUR) model to assess the heterogeneous effects of land use intensity on UCEs within the carbon neutrality framework. Additionally, we use a causal mediation effect model to identify the mediating factors. Using data from 2000 to 2019 for 41 prefecture-level cities in China's Yangtze River Delta urban agglomeration, we find the following: (1) A 1% decrease in land use intensity (urban land use per unit of GDP) leads to a 0.745% increase in UCE and a 0.227% increase in carbon neutrality potential (CNP) when carbon sequestration is included in the UCE calculation, both at a significance level of 1%. (2) The negative effects of land use intensity show significant heterogeneity across different city types. Specifically, it significantly impacts both UCE and CNP in cities with high economic levels and low ecological levels but significantly affects only UCE in other cities. (3) The urban population and built-up area amplify the influence of land use intensity on UCEs through mediating effects, whereas factors such as industrial structure, energy intensity, and foreign direct investment mitigate this influence. These findings underscore the importance of incorporating carbon sequestration in UCE assessments under carbon neutrality constraints. They also suggest that policy-makers should adopt differentiated urban land management strategies tailored to the socioeconomic and ecological conditions of different cities to enhance UCEs within urban agglomerations.

Abstract Image

碳中和目标下土地利用强度对城市碳效率的影响:来自中国长江三角洲城市群的证据
城市碳效率(UCE)是指导城市在保持经济增长的同时减少碳排放的关键措施。通过有效利用城市土地提高城市碳效率被认为是一项关键战略。然而,尽管之前的研究已经探讨了城市土地利用对碳效率的影响,但对碳中和目标约束下的影响仍未进行深入研究。为了填补这一空白,我们采用了基于松弛度量的超效率(SBM)模型,结合看似无关回归(SUR)模型,在碳中和框架内评估土地利用强度对城市能源效率的异质性影响。此外,我们还使用因果中介效应模型来识别中介因素。利用 2000 年至 2019 年中国长江三角洲城市群 41 个地级市的数据,我们发现了以下情况:(1) 土地利用强度(单位 GDP 的城市土地利用)每降低 1%,UCE 将增加 0.745%,如果将碳封存纳入 UCE 计算,碳中和潜力(CNP)将增加 0.227%,显著性水平均为 1%。(2)土地利用强度的负面影响在不同城市类型中表现出显著的异质性。具体而言,在经济水平高、生态水平低的城市,土地利用强度对城市碳排放系数和国家碳储量都有显著影响,但在其他城市,土地利用强度仅对城市碳排放系数有显著影响。(3) 城市人口和建成区通过中介效应放大了土地利用强度对 UCE 的影响,而产业结构、能源强度和外商直接投资等因素则减轻了这种影响。这些发现强调了在碳中和约束条件下将碳封存纳入UCE评估的重要性。这些研究还建议,政策制定者应根据不同城市的社会经济和生态条件,采取差异化的城市土地管理策略,以提高城市群内的 UCE。
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来源期刊
CiteScore
12.60
自引率
10.10%
发文量
200
审稿时长
33 days
期刊介绍: Environmental Impact Assessment Review is an interdisciplinary journal that serves a global audience of practitioners, policymakers, and academics involved in assessing the environmental impact of policies, projects, processes, and products. The journal focuses on innovative theory and practice in environmental impact assessment (EIA). Papers are expected to present innovative ideas, be topical, and coherent. The journal emphasizes concepts, methods, techniques, approaches, and systems related to EIA theory and practice.
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