Carbon emission and economic development trade-offs for optimizing land-use allocation in the Yangtze River Delta, China

Li, Wei; Chen, Zhenjie; Li, Manchun; Zhang, Han; Li, Mingye; Qiu, Xiaoqian; Zhou, C.

doi:10.1016/j.ecolind.2023.109950

Cited by 53 publications

(13 citation statements)

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“…) is an urban agglomeration consisting of 8 prefecture-level cities in Jiangsu Province, 7 prefecture-level cities in Zhejiang Province, and Shanghai Municipality, including 129 county-level cities (Figure 1). Forestland in the CAYRDUA is mainly distributed in the south, while arable land is mainly distributed in Jiangsu Province in the north, and the proportion of construction land in Shanghai is higher than in other areas [46]. The region accounts for less than 2% of the national territory area, with a population of 122.95 million, contributing to a GDP of CNY 13.08 trillion, with a large population density of 1080 people per km² (Table S1).…”

Section: Study Areamentioning

confidence: 99%

Analysis of the Spatiotemporal Evolution of Carbon Budget and Carbon Compensation Zoning in the Core Area of the Yangtze River Delta Urban Agglomeration

Tang,

Wang,

et al. 2024

Land

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As a world-class urban agglomeration, the Yangtze River Delta urban agglomeration is significant for China’s carbon neutrality strategy when calculating the carbon budget and dividing carbon compensation zones. This paper focused on 129 county-level cities in the core area of the Yangtze River Delta urban agglomeration, calculating the carbon budget for 2000–2020 using night-time light data and analyzing the evolution of spatiotemporal patterns. On this basis, a carbon compensation zoning model was constructed using the K-means algorithm; 129 cities were divided into different carbon compensation zones after combining this model with the main functional zones. The results showed that (1) the carbon emissions increased, with overall stabilization after 2012. The distribution of high carbon emission areas evolved from a “core-periphery” pattern into a “Z-shaped” pattern. Ecological carbon sinks showed a continuous decline, with the southern sinks performing better than the northern ones. (2) The carbon budget of the study area showed a deficit, gradually widening and exhibiting an unbalanced spatial distribution characterized by a “high in the south and low in the north” pattern. (3) Eleven types of carbon compensation zones were designated after overlaying the main functional zones. Low-carbon development suggestions were proposed for each zone type.

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Section: Study Areamentioning

confidence: 99%

Analysis of the Spatiotemporal Evolution of Carbon Budget and Carbon Compensation Zoning in the Core Area of the Yangtze River Delta Urban Agglomeration

Tang,

Wang,

et al. 2024

Land

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“…In fact, the process and mechanism of carbon emissions from land use under the economic and social system are far more complex than those under natural ecosystems, which is reflected in the fact that the effect of land use on carbon emissions is often transmitted through other factors, and the determinants of carbon emissions are more varied and related to each other. Scholars have tried to extensively discuss the causal relationship between land use and carbon emissions from the perspectives of urban land expansion [14], urban spatial land use layout [14,15], land use structure change [16], land intensive use [16], land use intensity differences [17], land urbanization, and land finance [18,19]. (c) Previous studies have identified a positive correlation between construction land and carbon emissions [20].…”

Section: Literature Reviewmentioning

confidence: 99%

Construction Land Transfer Scale and Carbon Emission Intensity: Empirical Evidence Based on County-Level Land Transactions in Jiangsu Province, China

Li,

Wang,

Liu

et al. 2024

Land

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The expansion of the construction land scale has been vital in supporting rapid economic development and meeting social needs. However, the spatial heterogeneity in the effect of construction land scale on carbon emission intensity at the county level remains underexplored. Therefore, comprehensively investigating the relation between the construction land transfer scale and carbon emission intensity holds substantial research value. Using panel data from 2007 to 2021, this study analyzes the spatiotemporal differentiation characteristics of carbon emission intensity and the effect of construction land scale on carbon emission intensity at the county level in Jiangsu Province, China. The findings reveal that carbon emission intensity at the county level in Jiangsu Province generally exhibits a continuous downward trend over time and a spatial distribution characterized by a gradual decrease from the southern counties to the central and northern counties. Moreover, there is a significant positive relation between the construction land transfer scale and carbon emission intensity, a conclusion supported by robustness tests. Furthermore, mediating analysis indicates that reduction of the construction land transfer scale exhibits a significant promoting effect on green technology innovation and industrial structure upgrading, which, in turn, has a significant inhibitory effect on carbon emission intensity. The impact of the construction land transfer scale from different sources, supply methods, types, and of county economic strength on carbon emission intensity has significant heterogeneity.

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“…They showed that cities need to rely on regional green spaces to mitigate carbon emissions; Yao et al (2023) proposed a bottom-up cadastral land scale carbon emission prediction framework based on vector cellular automata. Although the aforementioned works serve as excellent examples for the study of land use carbon emissions, only a few studies have focused on carbon emission conduction due to the change in land type (Li et al, 2023). Investigating the effects of land type changes on carbon emissions under various scenarios can provide new perspectives to formulate appropriate land regulation and carbon emission reduction policies (Ke Y. et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Carbon conduction effect and multi-scenario carbon emission responses of land use patterns transfer: a case study of the Baiyangdian basin in China

Gao,

Zhao,

Zhang

et al. 2024

Front. Environ. Sci.

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Carbon pooling and release occur all the time in all corners of the earth, where the land use factor is key to influencing the realization of carbon peaking and neutrality. Land use patterns and carbon emissions change under different scenarios and analyzing the correlation will help formulate scientific land use policies for the future. In this study, through remote sensing data, we investigated the changes in land use patterns and carbon emissions in the Baiyangdian basin in China from 2000 to 2020 and analyzed the carbon conduction effect with the help of a land transfer matrix. The geographical simulation and optimization system-future land use simulation (GeoSOS-FLUS) and Markov models were used to predict the land use changes and carbon emissions under the four different scenarios for the region in 2035. The results indicated that 1) the net land use carbon emissions increased from 52,163.03 × 103 to 260,754.91.28 × 103 t from 2000 to 2020, and the carbon source-sink ratio exhibited a general uptrend; 2) the net carbon emissions due to terrestrial transfers increased over time. The carbon conduction effects due to the transfer of forests, grasslands, water areas, and unused lands to built-up lands also showed a rising trend, albeit the latter two exhibited only small changes; 3) in 2035, the net carbon uptake under the four development scenarios was predicted to be 404,238.04 × 103, 402,009.45 × 103, 404,231.64 × 103, and 404,202.87×103 t, respectively, with all values much higher than that of the study area in 2020. The maximum carbon sink capacity was 817.88 × 103 t under the double-carbon target scenario, and the maximum carbon source emission was 405,033.61 × 103 t under the natural development scenario. The above results provide an essential reference for low carbon-based urban land use regulations for the Baiyangdian basin and other similar projects in the future.

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Carbon emission and economic development trade-offs for optimizing land-use allocation in the Yangtze River Delta, China

Cited by 53 publications

References 50 publications

Analysis of the Spatiotemporal Evolution of Carbon Budget and Carbon Compensation Zoning in the Core Area of the Yangtze River Delta Urban Agglomeration

Analysis of the Spatiotemporal Evolution of Carbon Budget and Carbon Compensation Zoning in the Core Area of the Yangtze River Delta Urban Agglomeration

Construction Land Transfer Scale and Carbon Emission Intensity: Empirical Evidence Based on County-Level Land Transactions in Jiangsu Province, China

Carbon conduction effect and multi-scenario carbon emission responses of land use patterns transfer: a case study of the Baiyangdian basin in China

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