Spatial-temporal evolution characteristics and drivers of carbon emission intensity of resource-based cities in china
暂无分享,去创建一个
[1] Bei Liu,et al. Fiscal Pressure and Air Pollution in Resource-Dependent Cities: Evidence From China , 2022, Frontiers in Environmental Science.
[2] Han Liu,et al. Transformation of Resource-Based Cities: The Case of Benxi , 2022, Frontiers in Environmental Science.
[3] A. Jenn,et al. Hourly accounting of carbon emissions from electricity consumption , 2022, Environmental Research Letters.
[4] Daniel Balsalobre-lorente,et al. Structural emissions reduction of China's power and heating industry under the goal of "Double Carbon": A perspective from input-output analysis , 2022, Sustainable Production and Consumption.
[5] Xiaoyan Li. Local government decision-making competition and regional carbon emissions: Experience evidence and emission reduction measures , 2022, Sustainable Energy Technologies and Assessments.
[6] M. Irfan,et al. Analysis of the Impact of Livestock Structure on Carbon Emissions of Animal Husbandry: A Sustainable Way to Improving Public Health and Green Environment , 2022, Frontiers in Public Health.
[7] Q. Ge,et al. Will China achieve its 2060 carbon neutral commitment from the provincial perspective? , 2022, Advances in Climate Change Research.
[8] Caiquan Bai,et al. Can renewable energy technology innovation alleviate energy poverty? Perspective from the marketization level , 2022, Technology in Society.
[9] Wei Liu,et al. Fixed asset changes with carbon regulation: The cases of China. , 2022, Journal of environmental management.
[10] Junbing Huang,et al. The effect of energy patents on China's carbon emissions: Evidence from the STIRPAT model , 2021 .
[11] Delu Wang,et al. Factors influencing green transformation efficiency in China's mineral resource-based cities: Method analysis based on IPAT-E and PLS-SEM , 2021, Journal of Cleaner Production.
[12] J. Poon,et al. China's CO2 emission intensity and its drivers: An evolutionary Geo-Tree approach , 2021 .
[13] Konstantinos N. Baltas,et al. FDI, economic growth, and carbon emissions of the Chinese steel industry: new evidence from a 3SLS model , 2021, Environmental Science and Pollution Research.
[14] Shuai Shao,et al. High-speed rail and CO2 emissions in urban China: A spatial difference-in-differences approach , 2021, Energy Economics.
[15] C. Kang,et al. Embodied greenhouse gas emissions from building China’s large-scale power transmission infrastructure , 2021, Nature Sustainability.
[16] Jinghu Pan,et al. Spatial-temporal characteristics and decoupling effects of China’s carbon footprint based on multi-source data , 2021, Journal of Geographical Sciences.
[17] Qiang Ji,et al. Regional differences and driving factors analysis of carbon emission intensity from transport sector in China , 2021, Energy.
[18] Shaoying Li,et al. Understanding the modifiable areal unit problem in dockless bike sharing usage and exploring the interactive effects of built environment factors , 2021, Int. J. Geogr. Inf. Sci..
[19] Yingdong Wang,et al. Spatial effects of carbon emission intensity and regional development in China , 2020, Environmental Science and Pollution Research.
[20] M. Song,et al. County-level CO2 emissions and sequestration in China during 1997–2017 , 2020, Scientific data.
[21] Jin Yang,et al. Drivers and critical supply chain paths of black carbon emission: A structural path decomposition. , 2020, Journal of environmental management.
[22] D. Guan,et al. A 2015 inventory of embodied carbon emissions for Chinese power transmission infrastructure projects , 2020, Scientific data.
[23] Kerui Du,et al. Understanding spatial-temporal evolution of renewable energy technology innovation in China: Evidence from convergence analysis , 2020 .
[24] Me Song,et al. Spatiotemporal regularity and spillover effects of carbon emission intensity in China's Bohai Economic Rim. , 2020, The Science of the total environment.
[25] Chenyi Shi,et al. Spatiotemporal evolution of urban carbon emission performance in China and prediction of future trends , 2020, Journal of Geographical Sciences.
[26] Yuan Huang,et al. The heterogeneous effect of driving factors on carbon emission intensity in the Chinese transport sector: Evidence from dynamic panel quantile regression. , 2020, The Science of the total environment.
[27] Wei Zhang,et al. Environmental regulation, Foreign investment behavior, and carbon emissions for 30 provinces in China , 2020 .
[28] Yue‐Jun Zhang,et al. Carbon congestion effects in China's industry: Evidence from provincial and sectoral levels , 2020 .
[29] Yukun Shi,et al. Spatial variation of energy efficiency based on a Super-Slack-Based Measure: Evidence from 104 resource-based cities , 2019 .
[30] Wendong Wei,et al. The impact of a Coal-Fired Power Plant Shutdown Campaign on heavy metals emissions in China. , 2019, Environmental science & technology.
[31] J. Hu,et al. Driving factors of China’s city-level carbon emissions from the perspective of spatial spillover effect , 2019, Carbon Management.
[32] X. Chuai,et al. High resolution carbon emissions simulation and spatial heterogeneity analysis based on big data in Nanjing City, China. , 2019, The Science of the total environment.
[33] Lei Chen,et al. Inequality of industrial carbon emissions of the urban agglomeration and its peripheral cities: A case in the Pearl River Delta, China , 2019, Renewable and Sustainable Energy Reviews.
[34] Caiquan Bai,et al. Decoupling and decomposition analysis of transportation carbon emissions at the provincial level in China: perspective from the 11th and 12th Five-Year Plan periods , 2019, Environmental Science and Pollution Research.
[35] Y. Hao,et al. The convergence characteristics of China's carbon intensity: Evidence from a dynamic spatial panel approach. , 2019, The Science of the total environment.
[36] Jingfeng Zhao,et al. Spatial econometric analysis of carbon emission intensity in Chinese provinces from the perspective of innovation-driven , 2019, Environmental Science and Pollution Research.
[37] Shaojian Wang,et al. Spatial spillover effect and driving forces of carbon emission intensity at the city level in China , 2019, Journal of Geographical Sciences.
[38] Lei Zhou,et al. Analysis of the spatial association network structure of China's transportation carbon emissions and its driving factors. , 2019, Journal of environmental management.
[39] Rongrong Li,et al. Toward to economic growth without emission growth: The role of urbanization and industrialization in China and India , 2018, Journal of Cleaner Production.
[40] Xue-ting Jiang,et al. Investigating factors affecting carbon emission in China and the USA: A perspective of stratified heterogeneity , 2018, Journal of Cleaner Production.
[41] Shiwei Yu,et al. Convergence of carbon emissions intensity across Chinese industrial sectors , 2018, Journal of Cleaner Production.
[42] P. Ciais,et al. Infrastructure Shapes Differences in the Carbon Intensities of Chinese Cities. , 2018, Environmental science & technology.
[43] W. Widiatmaka,et al. Spatial Autocorrelation on Public Facility Availability Index with Neighborhoods Weight Difference , 2018 .
[44] Liyin Shen,et al. What drives the carbon emission in the Chinese cities?—A case of pilot low carbon city of Beijing , 2018 .
[45] Ruyin Long,et al. Drivers of carbon emission intensity change in China , 2018 .
[46] Xinlin Zhang,et al. Identification of the driving factors’ influences on regional energy-related carbon emissions in China based on geographical detector method , 2018, Environmental Science and Pollution Research.
[47] Liang Dong. Bound to lead? Rethinking China’s role after Paris in UNFCCC negotiations , 2017 .
[48] Fei Wang,et al. Examining the driving factors of energy related carbon emissions using the extended STIRPAT model based on IPAT identity in Xinjiang , 2017 .
[49] Sergio J. Rey,et al. Exploring movement object patterns , 2012 .
[50] Sergio J. Rey,et al. Visualizing regional income distribution dynamics , 2011 .
[51] Xiaoying Zheng,et al. Geographical Detectors‐Based Health Risk Assessment and its Application in the Neural Tube Defects Study of the Heshun Region, China , 2010, Int. J. Geogr. Inf. Sci..
[52] Sergio J. Rey,et al. STARS: Space-Time Analysis of Regional Systems , 2004 .