The carbon emissions related to the land-use changes from 2000 to 2015 in Shenzhen, China: Implication for exploring low-carbon development in megacities

Ke, Yuhan; Xia, Lang; Huang, Yingshan; Li, Shuer; Zhang, Yan; Liang, Sai; Yang, Zhifeng

doi:10.1016/j.jenvman.2022.115660

Cited by 26 publications

(8 citation statements)

References 45 publications

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“…In existing studies, several studies have pointed out that urban density 12 , 20 – 22 , functional mix 23 , land use type 24 , 25 , and traffic structure 10 , 26 have an impact on the carbon emissions efficiency of cities. Since the scale of this study is within a single city, which is relatively smaller, the study combines 5Ds built environment elements raised by Ewing 27 to refine the elements for the above four categories, resulting in the 14 elements from four categories in Table 1 .…”

Section: Methodsmentioning

confidence: 99%

Impact of urban spatial structure elements on carbon emissions efficiency in growing megacities: the case of Chengdu

Feng

Zhang

2023

Sci Rep

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Quantitative research on the impact weight and impact of regional heterogeneity of urban spatial structure elements on carbon emissions efficiency can provide a scientific basis and practical guidance for low-carbon and sustainable urban development. This study uses the megacity of Chengdu as an example to measure and analyze the spatial carbon emission efficiency and multidimensional spatial structure elements by building a high-resolution grid and identifying the main spatial structure elements that affect urban carbon emissions and their impact weights via the Ordinary Least Squares regression (OLS) and Geographically Weighted Regression (GWR). The spatial heterogeneity of the impact of each element is also explored. The results show that the overall carbon emission efficiency of Chengdu is high in the center and low on the sides, which is related to urban density, functional mix, land use, and traffic structure. However, the influence of each spatial structure element is different in the developed central areas, developing areas of the plain, mountainous developing areas, underdeveloped areas of the plain, and mountainous underdeveloped areas. Thus, it is appropriate to form differentiated urban planning strategies based on the characteristics of the development of each zone. The findings provide inspiration and a scientific basis for formulating policies and practice to the future low-carbon development of Chengdu, while provide a reference for other growing megacities.

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Section: Methodsmentioning

confidence: 99%

Impact of urban spatial structure elements on carbon emissions efficiency in growing megacities: the case of Chengdu

Feng

Zhang

2023

Sci Rep

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“…This is one of the objectives of both formal and informal environmental regulations. However, the various implementation concerns and regulatory strategies have very varied implications for carbon emission reduction (Ke et al, 2022). Formal environmental regulation, which emphasizes mandatory restriction through laws, systems, and other ways, has an impact on the entire industrial process (Chen et al, 2022;Cui et al, 2022).…”

Section: Theoretical Analysis and Research Hypothesesmentioning

confidence: 99%

Research on the impacts of dual environmental regulation on regional carbon emissions under the goal of carbon neutrality-the intermediary role of green technology innovation

Dong

Zhong

Liu

et al. 2022

Front. Environ. Sci.

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As an important means to promote regional low-carbon development, environmental regulation has great theoretical and practical significance for achieving the goal of carbon-neutral development in China. Based on the panel data of 30 provinces and cities in China from 2005 to 2019, this paper first uses the intermediary effect model to analyze the impact of the implementation of environmental regulation policies on regional carbon emissions, discusses the relationship between environmental regulation, green technology innovation and carbon emissions, and further uses the threshold effect model to discuss the nonlinear relationship between environmental regulation and regional carbon emissions. The results show that: the improvement of formal and informal environmental regulation can play a role in “forced emission reduction”; Green technology innovation plays a complete intermediary role in the impact of environmental regulation on regional carbon emissions; At the same time, the impact of formal and informal environmental regulation on regional carbon emissions has a threshold effect. Among them, formal environmental regulation has a double threshold effect, the threshold values are 0.429 and 0.502 respectively, while informal environmental regulation has a single threshold effect, the threshold value is 1.803. The results of heterogeneity analysis show that there are obvious differences in the implementation effects of environmental regulation policies under different economic development levels and industrialization development stages. Therefore, we should pay attention to the mutual promotion effect of different types of environmental regulation, strengthen the collaborative emission reduction of environmental regulation and green technology innovation, and improve the level of regional green technology innovation, so as to better promote the realization of regional carbon neutrality goals.

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“…One study used traditional methods to calculate carbon emissions under land use changes based on the land use and fossil energy consumption of 21 cities (prefectures) in Sichuan Province from 2000 to 2008 [8]. The results of carbon emissions from inter-sectoral trade and related land use changes in Shenzhen, China during the 2000-2005 period indicate an increasing trend in land-use-related carbon emissions within and outside of the city boundary [9]. Total carbon emission calculations and correlation research have also incorporated LUCC (land use/cover change) data and nighttime lighting remote sensing data [10].…”

Section: Introductionmentioning

confidence: 99%

Urban Land Carbon Emission and Carbon Emission Intensity Prediction Based on Patch-Generating Land Use Simulation Model and Grid with Multiple Scenarios in Tianjin

Li,

Liu,

et al. 2023

Land

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With regard to the aims of achieving the “Dual Carbon” goal and addressing the significant greenhouse gas emissions caused by urban expansion, there has been a growing emphasis on spatial research and the prediction of urban carbon emissions. This article examines land use data from 2000 to 2020 and combines Grid and the PLUS model to predict carbon emissions in 2030 through a multi-scenario simulation. The research findings indicate the following: (1) Between 2000 and 2020, construction land increased by 95.83%, with carbon emissions also increasing. (2) By 2030, for the NDS (natural development scenario), carbon emissions are expected to peak at 6012.87 × 104 t. Regarding the ratio obtained through the EDS (economic development scenario), construction land is projected to grow to 3990.72 km2, with expected emissions of 6863.29 × 104 t. For the LCS (low-carbon scenario), the “carbon peak” is expected to be reached before 2030. (3) The intensity of carbon emissions decreases as the city size increases. (4) The shift of the center of carbon emission intensity and the center of construction land all indicate movement towards the southeast. Studying the trends of regional land use change and the patterns of land use carbon emissions is beneficial for optimizing the land use structure, thereby enabling us to achieve low-carbon emission reductions and sustainable urban development.

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The carbon emissions related to the land-use changes from 2000 to 2015 in Shenzhen, China: Implication for exploring low-carbon development in megacities

Cited by 26 publications

References 45 publications

Impact of urban spatial structure elements on carbon emissions efficiency in growing megacities: the case of Chengdu

Impact of urban spatial structure elements on carbon emissions efficiency in growing megacities: the case of Chengdu

Research on the impacts of dual environmental regulation on regional carbon emissions under the goal of carbon neutrality-the intermediary role of green technology innovation

Urban Land Carbon Emission and Carbon Emission Intensity Prediction Based on Patch-Generating Land Use Simulation Model and Grid with Multiple Scenarios in Tianjin

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