Decoupling state of urban development and carbon emissions and its driving factors and predictions: A case study of Chengdu metropolitan area

Ecological Informatics, Journal Year: 2024, Volume and Issue: 82, P. 102692 - 102692

Published: June 20, 2024

Prioritizing the reduction of carbon emissions in key developing urban centers is a significant step toward achieving China's peaking and neutrality goals. We examined Chengdu metropolitan area as case study. proposed coupled method for inversely estimating nighttime light from energy consumption, enhancing accuracy fitting at county scale addressing issue missing consumption data. integrated Tapio decoupling model Logarithmic Mean Divisia Index (LMDI) comprehensive analysis, mitigating limitations arising use singular model. Furthermore, we employed multi-scenario analysis with an extended STIRPAT to forecast emission trajectory agglomeration elucidate potential pathways The findings indicated following: are predominantly concentrated regions characterized by high levels development. Forested land serves primary sink; however, its capacity fails offset consumption; factor decomposition revealed that economic development was principal driver emissions, leading increase 23.7964 million tons. Conversely, intensity emerged mitigation factor, reducing 11.0677 tons; projected reach peak 2030, multi-factor coordinated optimization (MFO) representing most favorable trajectory, approximately 15.6998 However, achieve 2060, there still surplus 10.4808

Language: Английский

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Exploring preferences for household energy technology adoption from a spatiotemporal perspective: evidence from demographics, the economy, and the environment

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 134957 - 134957

Published: Feb. 1, 2025

Language: Английский

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Spatial heterogeneity and interaction mechanism of human activity intensity and land-use carbon emissions along the urban-rural gradient: A case study of the Yellow River Delta

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 380, P. 125071 - 125071

Published: March 20, 2025

Language: Английский

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Assessing the impact of regional coordinated development on a low-carbon future: Evidence from the Beijing-Tianjin-Hebei Coordinated Development Strategy

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 481, P. 144140 - 144140

Published: Nov. 1, 2024

Language: Английский

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Spatial–Temporal Evolution and Influencing Factors of Arable Land Green and Low-Carbon Utilization in the Yangtze River Delta from the Perspective of Carbon Neutrality

Sustainability, Journal Year: 2024, Volume and Issue: 16(16), P. 6889 - 6889

Published: Aug. 11, 2024

Arable land green and low-carbon utilization (ALGLU) is an important pathway to safeguard food safety achieve the transformation progress of agriculture, playing a crucial role in promoting agricultural ecological protection economic sustainability. This study takes Yangtze River Delta region (YRD), where rapid urbanization most typical, as area. On basis fully considering carbon sink function arable land, measures level using Super-slack based measure (Super-SBM) model, analyzes its spatial temporal evolution autocorrelation center gravity, standard ellipsoid then impact with help geographic detector geographically weighted regression model. We analyzed multifactor interaction heterogeneity factors geodetector Results: (1) The ALGLU YRD has shown fluctuating upward tendency, increasing from 0.7307 2012 0.8604 2022, growth rate 17.75%. phased changes correspond national development policies stages socio-economic development. (2) There are significant differences YRD, high levels distributed southwest Jiangsu, northern Zhejiang, northwest Anhui, while low YRD. Positive exists transfer trends gravity deviation ellipses essentially align pattern. (3) affected by many factors, intensity effects far exceeding that individual factors. When single-factor effects, precipitation, topography, farmers’ income influencing ALGLU. In scenarios involving multiple-factor interactions, become primary focus effects. Furthermore, driving exhibit heterogeneity, direction extent each factor different cities. can provide valuable insights for future regional sustainable

Language: Английский

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Research on Low-carbon Layout and Planning of Urban Space Driven by Sustainable Development

Renewable Energy and Power Quality Journal, Journal Year: 2024, Volume and Issue: unknown, P. 35 - 44

Published: July 21, 2024

Carbon dioxide emissions, leading to global warming, have threatened human development. It is urgent control and slow down greenhouse gas emissions maintain ecologically sustainable The energy demand pollutant generated in the process of urban development are main reasons climate environmental change. Scientific planning for cities construction low-carbon models first work deal with issues. In view these problems, article takes Guangyuan City as an example city construction, through transforming city's industrial structure, strengthening science technology innovation, establishing improving system other methods implement specific city, build a clean, low- carbon new life mode, Make from 2015 reach exploitable hydropower installed capacity 65% 80% 2020. this paper, we propose series spatial layout strategies, which not only in-depth analysis key problems China's urbanization process, such consumption, etc., but also targeted solutions. By implementing can effectively meet challenges brought about by promote Chinese more direction.

Language: Английский

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How Does Urban Scale Influence Carbon Emissions?

Land, Journal Year: 2024, Volume and Issue: 13(8), P. 1254 - 1254

Published: Aug. 9, 2024

Low-carbon cities aim to minimize greenhouse gas emissions in the context of climate change process urbanization. Maintaining these at an appropriate physical scale has been proven contribute carbon reduction. Therefore, this study extended definition city integrated framework with three dimensions: construction land area, population, and economy. The urban 258 China during 2012 2019 was divided into commercial, industrial, residential, traffic sectors, were calculated for each. regression relationship between revealed by panel data analysis showed following conclusions: (1) concentrated north China, provincial capital cities, municipalities directly under central government research period, industrial sector main emission resource, accounting more than 85% total emissions. (2) Carbon per unit decreased increasing scale, regardless land-use type. growth rate slower that also became efficient as their economic expanded. (3) Compared small large ones benefited from commercial areas, whereas production needs exhibited significant agglomeration characteristics. Overall, low-carbon planning should focus on driving role tend be efficient, develop reduction potential major well.

Language: Английский

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Spatiotemporal analysis of carbon emissions in the Yangtze River Delta Urban Agglomeration: Insights from nighttime light data (1992–2019)

Ecological Informatics, Journal Year: 2024, Volume and Issue: unknown, P. 102831 - 102831

Published: Sept. 1, 2024

Language: Английский

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