Carbon emission accounting and spatial distribution of industrial entities in Beijing—Combining nighttime light data and urban functional areas

Bai, 2022, Spatial spillover effects of renewable energy on carbon emissions in less-developed areas of China, Environ. Sci. Pollut. Res., 29, 19019, 10.1007/s11356-021-17053-w Benhelal, 2020, Challenges against CO2 abatement strategies in cement industry: a review, J. Environ. Sci., 104, 84, 10.1016/j.jes.2020.11.020 Cai, 2021, Visual analysis of land use characteristics around urban rail transit stations, IEEE Trans. Intell. Transp. Syst., 22, 6221, 10.1109/TITS.2020.2989811 Chen, 2012, Network environ perspective for urban metabolism and carbon emissions: a case study of Vienna, Austria, Environ. Sci. Technol, 46, 4498, 10.1021/es204662k Chen, 2014, China: open access to earth land-cover map, Nature, 514, 434, 10.1038/514434c Chen, 2019, Understanding the spatial organization of urban functions based on co-location patterns mining: a comparative analysis for 25 Chinese cities[J], Cities, 97 Cheng, 2017, Industrial structure, technical progress and carbon intensity in china’s provinces, Renew. Sustain. Energy Rev., 81, 2935, 10.1016/j.rser.2017.06.103 Cui, 2019, Mapping spatiotemporal variations of co2 (carbon dioxide) emissions using nighttime light data in Guangdong province, Phys. Chem. Earth, 110, 89, 10.1016/j.pce.2019.01.007 Cui, 2020, Decennary spatial pattern changes and scaling effects of co2 emissions of urban agglomerations in China, Cities, 105, 10.1016/j.cities.2020.102818 Cui, 2020, Driving forces for carbon emissions changes in Beijing and the role of green power, Sci. Total Environ., 728, 10.1016/j.scitotenv.2020.138688 Doll, 2000, Night-time imagery as a tool for global mapping of socioeconomic parameters and greenhouse gas emissions. AMBIO - a journal of the human, Environment, 29, 157 Du, 2019, Relationship of carbon emissions and economic growth in china’s construction industry, J. Clean. Prod., 220, 99, 10.1016/j.jclepro.2019.02.123 Fu, 2017, Effects of land-use changes on city-level net carbon emissions based on a coupled model, Carbon Management, 8, 245, 10.1080/17583004.2017.1314704 Gao, 2020, China’s CO2 emissions embodied in fixed capital formation and its spatial distribution, Environ. Sci. Pollut. Res., 27, 19970, 10.1007/s11356-020-08491-z Gong, 2020, Mapping essential urban land use categories in China (euluc-China): preliminary results for 2018, Science Bulletin., 65, 182, 10.1016/j.scib.2019.12.007 Gurney, 2021, Under-reporting of greenhouse gas emissions in U.S. cities, Nat. Commun., 12, 553, 10.1038/s41467-020-20871-0 Jesri, 2021, Mapping and spatial pattern analysis of COVID-19 in Central Iran using the local indicators of spatial association (LISA), BMC Public Health, 21, 2227, 10.1186/s12889-021-12267-6 Jin, 2018, Dynamics of major air pollutants from crop residue burning in mainland China, 2000–2014, J. Environ. Sci., 70 Kanemoto, 2020, Spatial variation in household consumption-based carbon emission inventories for 1,200 Japanese cities, Environ. Res. Lett., 15, 10.1088/1748-9326/abc045 Kennedy, 2012, Cities reducing their greenhouse gas emissions, Energy Policy, 49, 774, 10.1016/j.enpol.2012.07.030 Li, 2021, Environmental co-benefits of urban greening for mitigating heat and carbon emissions, J. Environ. Manag., 293, 10.1016/j.jenvman.2021.112963 Li, 2019, Changing patterns and determinants of transportation carbon emissions in Chinese cities, Energy., 174, 562, 10.1016/j.energy.2019.02.179 Liu, 2019, Scenario simulation of urban energy-related CO2 emissions by coupling the socioeconomic factors and spatial structures, Appl. Energy, 238, 1163, 10.1016/j.apenergy.2019.01.173 Liu, 2020, Impact of spatial structure of urban agglomeration on carbon emissions: an analysis of the Shandong peninsula, China, Technol. Forecast. Soc. Chang., 161, 10.1016/j.techfore.2020.120313 Liu, 2020, A Vector map of carbon emission based on point-line-area carbon emission classified allocation method, Sustainability, 12, 10058, 10.3390/su122310058 Liu, 2020, Exploring the coupling relationship between urbanization and energy eco-efficiency: a case study of 281 prefecture-level cities in China, Sustain. Cities Soc., 64 Lou, 2019, Using nighttime light data and POI big data to detect the urban centers of Hangzhou[J], Remote Sens., 11, 1821, 10.3390/rs11151821 Lu, 2018, Spatial pattern of residential carbon dioxide emissions in a rapidly urbanizing Chinese City and its mismatch effect, Sustainability, 10, 827, 10.3390/su10030827 Meng, 2017, An improved vegetation adjusted nighttime light urban index and its application in quantifying spatiotemporal dynamics of carbon emissions in China, Remote Sens., 9, 829, 10.3390/rs9080829 Mi, 2019, Carbon emissions of cities from a consumption-based perspective, Appl. Energy, 235, 509, 10.1016/j.apenergy.2018.10.137 Morrison, 2021, Impacts of environmental regulations on tourism carbon emissions[J], Int. J. Environ. Res. Public Health, 18, 12850, 10.3390/ijerph182312850 Oda, 2018, The open-source data inventory for anthropogenic CO2, version 2016 (ODIAC2016): a global monthly fossil fuel CO2 gridded emissions data product for tracer transport simulations and surface flux inversions, Earth Syst Sci Data., 10, 87, 10.5194/essd-10-87-2018 Pang, 2020, Regional differences and dynamic evolution of carbon emission intensity of agriculture production in China, Int. J. Environ. Res. Public Health, 17, 7541, 10.3390/ijerph17207541 Pechanec, 2017, Modelling of the carbon sequestration and its prediction under climate change[J], Ecological Informatics, 47, 50, 10.1016/j.ecoinf.2017.08.006 Shi, 2019, Factor decomposition of carbon emissions in chinese megacities, J. Environ. Sci., 75, 212, 10.1016/j.jes.2018.03.026 Sun, 2021, Spatial and structural characteristics of CO2 emissions in east Asian megacities and its indication for low-carbon city development, Appl. Energy, 284, 10.1016/j.apenergy.2020.116400 Tan, 2021, Scenario simulation of CO2 emissions from light-duty passenger vehicles under land use-transport planning: a case of Shenzhen international low Carbon City, Sustain. Cities Soc., 75, 10.1016/j.scs.2021.103266 Wang, 2020, Analyzing parcel-level relationships between Luojia 1–01 nighttime light intensity and artificial surface features across Shanghai, China: A comparison with NPP-VIIRS data, International Journal of Applied Earth Observation and Geoinformation, 85, 101989, 10.1016/j.jag.2019.101989 Wang, 2021, The multi-objective spatial optimization of urban land use based on low-carbon city planning[J], Ecol. Indic., 125, 10.1016/j.ecolind.2021.107540 Wang, 2022, Appraising regional anthropogenic heat flux using high spatial resolution NTL and POI data: a case study in the Beijing-Tianjin-Hebei region, China [J], Environ. Pollut., 292, 10.1016/j.envpol.2021.118359 Wang, 2022, Spatial correlation network and driving effect of carbon emission intensity in China’s construction industry, Buildings., 12, 201, 10.3390/buildings12020201 Wei, 2021, Spatiotemporal dynamics of energy-related CO2 emissions in China based on nighttime imagery and land use data[J], Ecol. Indic., 131, 10.1016/j.ecolind.2021.108132 Xia, 2015, Structure decomposition analysis for energy-related GHG emission in Beijing: urban metabolism and hierarchical structure[J], Ecological Informatics, 26, 60, 10.1016/j.ecoinf.2014.09.008 Xiao, 2018, Spatio-temporal simulation of energy consumption in china’s provinces based on satellite night-time light data, Appl. Energy, 231, 1070, 10.1016/j.apenergy.2018.09.200 Xie, 2021, Estimation of entity-level land use and its application in urban sectoral land use footprint: A bottom-up model with emerging geospatial data, J Ind Ecol., 1 Xuan, 2020, Can China’s policy of carbon emission trading promote carbon emission reduction?[J], J. Clean. Prod., 270, 10.1016/j.jclepro.2020.122383 Xylia, 2019, Impact of bus electrification on carbon emissions: the case of Stockholm, J. Clean. Prod., 209, 74, 10.1016/j.jclepro.2018.10.085 Yan, 2017, Carbon emission efficiency and spatial clustering analyses in china’s thermal power industry: evidence from the provincial level, J. Clean. Prod., 156, 518, 10.1016/j.jclepro.2017.04.063 Yuan, 2022, Carbon emissions from land use in Jiangsu, China, and analysis of the regional interactions, Environ. Sci. Pollut. Res. Zhan, 2018, Life cycle energy consumption and greenhouse gas emissions of urban residential buildings in Guangzhou city, J. Clean. Prod., 194, 318, 10.1016/j.jclepro.2018.05.124 Zhang, 2018, Spatial apportionment of urban greenhouse gas emission inventory and its implications for urban planning: a case study of Xiamen, China, Ecol. Indic., 85, 644, 10.1016/j.ecolind.2017.10.058 Zhang, 2018, Carbon sources/sinks analysis of land use changes in China based on data envelopment analysis, J. Clean. Prod., 204, 702 Zhang, 2019, Urban spatial form analysis of GBA based on “LJ1-01” nighttime light remote sensing images, Journal of Applied Sciences-Electronics and Information Engineering., 23, 1011 Zhang, 2019, Modelling of energy consumption and carbon emission from the building construction sector in China, a process-based LCA approach, Energy., 134 Zhang, 2020, Urban expansion simulation towards low-carbon development: a case study of Wuhan, China, Sustain. Cities Soc., 63, 10.1016/j.scs.2020.102455 Zhang, 2021, Spatiotemporal dynamics of energy-related CO2 emissions in China based on nighttime imagery and land use data, Ecol. Indic., 131 Zhang, 2022, Spatial-temporal characteristics of carbon emissions from land use change in yellow river delta region, China - sciencedirect, Ecol. Indic., 136, 108623, 10.1016/j.ecolind.2022.108623 Zhao, 2019, Does stringent environmental regulation lead to a carbon haven effect? Evidence from carbon-intensive industries in China[J], Energy Econ., 86 Zhao, 2020, High-resolution spatiotemporal patterns of China’s FFCO2 emissions under the impact of LUCC from 2000 to 2015, Environ. Res. Lett., 15, 10.1088/1748-9326/ab6edc Zheng, 2022, Estimating carbon emissions in urban functional zones using multi-source data: a case study in Beijing, Build. Environ., 212, 10.1016/j.buildenv.2022.108804 Zheng, 2022, Mapping building-based spatiotemporal distributions of carbon dioxide emission: a case study in England, Int. J. Environ. Res. Public Health, 19, 5986, 10.3390/ijerph19105986 Zhou, 2021, Urbanization, land use change, and carbon emissions: quantitative assessments for city-level carbon emissions in Beijing-Tianjin-Hebei region, Sustain. Cities Soc., 66, 10.1016/j.scs.2020.102701 Zhu, 2018, Rural industrial restructuring in china’s metropolitan suburbs: evidence from the land use transition of rural enterprises in suburban Beijing, Land Use Policy, 74, 121, 10.1016/j.landusepol.2017.09.004