基于多源数据的中国家庭碳排放核算与占比估计

谢金良; 郭静; 黄雨婷; 刘伟; 徐明

doi:10.12030/j.cjee.202403142

[1]

WORKING GROUP III P R, SHUKLA J, SKEA, et al. Climate change 2022: Mitigation of climate change. Summary for policymakers: Sixth assessment report of the intergovernmental panel on climate change (AR6)[R]. Intergovernmental Panel on Climate Change(IPCC), 2022: 2258.

[2]

贾璐宇, 王克. 碳中和背景下中国交通部门低碳发展转型路径[J]. 中国环境科学, 2023, 43(6): 3231-3243. doi: 10.3969/j.issn.1000-6923.2023.06.057

[3]

李文翔, 李晔, 蔡近近. 政府-企业-居民协同共治的道路交通碳交易机制[J]. 中国环境科学, 2021, 41(9): 4426-4438. doi: 10.3969/j.issn.1000-6923.2021.09.049

[4]

MA R, ZHENG X, ZHANG C, et al. Distribution of CO₂ emissions in China’s supply chains: A sub-national MRIO analysis[J]. Journal of Cleaner Production, 2022, 345: 130986. doi: 10.1016/j.jclepro.2022.130986

[5]

CAO Q, KANG W, XU S, et al. Estimation and decomposition analysis of carbon emissions from the entire production cycle for Chinese household consumption[J]. Journal of environmental management, 2019, 247: 525-537.

[6]

王长波, 胡志伟, 周德群. 中国居民消费间接CO₂排放核算及其关键减排路径[J]. 北京理工大学学报(社会科学版), 2022, 24(3): 15-27.

[7]

HERTWICH E G, PETERS G P. Carbon footprint of nations: A global, trade-linked analysis[J]. Environmental Science & Technology, 2009, 43(16): 6414-6420.

[8]

SONG K H, QU S, TAIEBAT M, et al. Scale, distribution and variations of global greenhouse gas emissions driven by U. S. households[J]. Environment International, 2019, 133: 105137. doi: 10.1016/j.envint.2019.105137

[9]

MARASENI T N, JIANSHENG Q U, ZENG J J. A comparison of trends and magnitudes of household carbon emissions between China, Canada and UK[J]. Environmental Development, 2015, 15: 103-119. doi: 10.1016/j.envdev.2015.04.001

[10]

YU F, DONG H J, GENG Y, et al. Uncovering the differences of household carbon footprints and driving forces between China and Japan[J]. Energy Policy, 2022, 165: 112990. doi: 10.1016/j.enpol.2022.112990

[11]

DU M, ZHANG X, XIA L, et al. The China carbon watch (CCW) system: A rapid accounting of household carbon emissions in China at the provincial level[J]. Renewable and Sustainable Energy Reviews, 2022, 155: 111825. doi: 10.1016/j.rser.2021.111825

[12]

卢乐书, 王翀. 以消费端绿色金融创新引导和鼓励绿色需求[N]. 光明日报, 2022-04-26. [2023-11-30].

[13]

李禾. 个人碳账户让减碳逐步进入全民时代[N]. 新华网, 2022-09-06. [2023-11-30].

[14]

刘茜贤, 赵琳. 明确40项绿色低碳行为, 消费领域碳减排有了统一“标尺”[N]. 新京报, 2022-05-08. [2023-11-30].

[15]

HUA W, CHEN Y, QADRDAN M, et al. Applications of blockchain and artificial intelligence technologies for enabling prosumers in smart grids: A review[J]. Renewable and Sustainable Energy Reviews, 2022, 161: 112308. doi: 10.1016/j.rser.2022.112308

[16]

GUO F, ZHENG X, WANG C, et al. Sharing matters: Household and urban economies of scale for a carbon-neutral future[J]. Resources, Conservation and Recycling, 2022, 184: 106410. doi: 10.1016/j.resconrec.2022.106410

[17]

XIE J, ZHOU S, TENG F, et al. The characteristics and driving factors of household CO₂ and non-CO₂ emissions in China[J]. Ecological Economics, 2023, 213: 107952. doi: 10.1016/j.ecolecon.2023.107952

[18]

WU S. Smart cities and urban household carbon emissions: A perspective on smart city development policy in China[J]. Journal of Cleaner Production, 2022, 373: 133877. doi: 10.1016/j.jclepro.2022.133877

[19]

ZHANG X, LUO L, SKITMORE M. Household carbon emission research: an analytical review of measurement, influencing factors and mitigation prospects[J]. Journal of Cleaner Production, 2015, 103: 873-883. doi: 10.1016/j.jclepro.2015.04.024

[20]

JONES M W, ANDREW R M, PETERS G P, et al. Gridded fossil CO₂ emissions and related O₂ combustion consistent with national inventories 1959–2018[J]. Scientific Data, 2021, 8(1): 2. doi: 10.1038/s41597-020-00779-6

[21]

CHOUDHARY P, SRIVASTAVA R K, DE S. Integrating greenhouse gases (GHG) assessment for low carbon economy path: Live case study of Indian national oil company[J]. Journal of Cleaner Production, 2018, 198: 351-363. doi: 10.1016/j.jclepro.2018.07.032

[22]

LEONTIEF W W. Quantitative input and output relations in the economic systems of the United States[J]. The Review of Economics and Statistics, 1936, 18(3): 105. doi: 10.2307/1927837

[23]

彭璐璐, 李楠, 郑智远, 等. 中国居民消费碳排放影响因素的时空异质性[J]. 中国环境科学, 2021, 41(1): 463-472. doi: 10.3969/j.issn.1000-6923.2021.01.052

[24]

TIAN X, LIU Y, XU M, et al. Chinese environmentally extended input-output database for 2017 and 2018[J]. Scientific Data, 2021, 8(1): 256. doi: 10.1038/s41597-021-01035-1

[25]

LENZEN M, KANEMOTO K, MORAN D, et al. Mapping the structure of the world economy[J]. Environmental Science & Technology, 2012, 46(15): 8374-8381.

[26]

LENZEN M, MORAN D, KANEMOTO K, et al. Building EORA: A global multi-region input–output database at high country and sector resolution[J]. Economic Systems Research, 2013, 25(1): 20-49. doi: 10.1080/09535314.2013.769938

[27]

ZHANG Y J, BIAN X J, TAN W P, et al. The indirect energy consumption and CO₂ emission caused by household consumption in China: an analysis based on the input–output method[J]. Journal of Cleaner Production, 2017, 163: 69-83. doi: 10.1016/j.jclepro.2015.08.044

[28]

WANG Y, YANG G C, DONG Y, et al. The scale, structure and influencing factors of total carbon emissions from households in 30 provinces of China—Based on the Extended STIRPAT Model[J]. Energies, 2018, 11(5): 1125. doi: 10.3390/en11051125

[29]

MARASENI T K, QU J, ZENG J, et al. An analysis of magnitudes and trends of household carbon emissions in China between 1995 and 2011[J]. International Journal of Environmental Research, 2016, 10(1): 179-192.

[30]

LI J, ZHANG D Y, SU B. The impact of social awareness and lifestyles on household carbon emissions in China[J]. Ecological Economics, 2019, 160: 145-155. doi: 10.1016/j.ecolecon.2019.02.020

[31]

曲建升, 刘莉娜, 曾静静, 等. 中国居民生活碳排放增长路径研究[J]. 资源科学, 2017, 39(12): 2389-2398.

[32]

ZHANG Y J, BIAN X J, TAN W P. The linkages of sectoral carbon dioxide emission caused by household consumption in China: evidence from the hypothetical extraction method[J]. Empirical Economics, 2018, 54(4): 1743-1775. doi: 10.1007/s00181-017-1272-z

[33]

米红, 张田田, 任正委, 等. 城镇化进程中家庭CO₂排放的驱动因素分析[J]. 中国环境科学, 2016, 36(10): 3183-3192. doi: 10.3969/j.issn.1000-6923.2016.10.050

[34]

王莉, 曲建升, 刘莉娜, 等. 1995-2011年我国城乡居民家庭碳排放的分析与比较[J]. 干旱区资源与环境, 2015, 29(5): 6-11.

[35]

QU J S, MARASENI T, LIU L N, et al. A comparison of household carbon emission patterns of urban and rural China over the 17 year period (1995–2011)[J]. Energies, 2015, 8(9): 10537-10557. doi: 10.3390/en80910537

[36]

刘莉娜, 曲建升, 黄雨生, 等. 中国居民生活碳排放的区域差异及影响因素分析[J]. 自然资源学报, 2016, 31(8): 1364-1377. doi: 10.11849/zrzyxb.20150905

[37]

LI Y M, ZHAO R, LIU T S, et al. Does urbanization lead to more direct and indirect household carbon dioxide emissions? Evidence from China during 1996–2012[J]. Journal of Cleaner Production, 2015, 102: 103-114. doi: 10.1016/j.jclepro.2015.04.037

[38]

WU S M, LEI Y L, LI S T. CO₂ emissions from household consumption at the provincial level and interprovincial transfer in China[J]. Journal of Cleaner Production, 2019, 210: 93-104. doi: 10.1016/j.jclepro.2018.10.356

[39]

YUAN R, JOÃO F D. RODRIGUES P B. Driving forces of household carbon emissions in China: A spatial decomposition analysis[J]. Journal of Cleaner Production, 2019, 233: 932-945. doi: 10.1016/j.jclepro.2019.06.110

[40]

ZHANG H W, SHI X P, WANG K Y, et al. Intertemporal lifestyle changes and carbon emissions: Evidence from a China household survey[J]. Energy Economics, 2020, 86: 104655. doi: 10.1016/j.eneco.2019.104655

[41]

ZHANG Z X, CUI Y L, ZHANG Z K. Unequal age-based household carbon footprint in China[J]. Climate Policy, 2022, 23(5): 577-592.

[42]

WANG J, YUAN R. Inequality in urban and rural household CO₂ emissions of China between income groups and across consumption categories[J]. Environmental Impact Assessment Review, 2022, 94: 106738. doi: 10.1016/j.eiar.2022.106738

[43]

刘云鹏, 王泳璇, 王帆, 等. 居民生活消费碳排放影响分析与动态模拟预测[J]. 生态经济, 2017, 33(6): 19-22.

[44]

SHI Y Y, HAN B T, HAN L, et al. Uncovering the national and regional household carbon emissions in China using temporal and spatial decomposition analysis models[J]. Journal of Cleaner Production, 2019, 232: 966-979. doi: 10.1016/j.jclepro.2019.05.302

[45]

计志英, 赖小锋, 贾利军. 家庭部门生活能源消费碳排放: 测度与驱动因素研究[J]. 中国人口·资源与环境, 2016, 26(5): 64-72. doi: 10.3969/j.issn.1002-2104.2016.05.008

[46]

ZHAO L T, ZHAO T, YUAN R. Scenario simulations for the peak of provincial household CO₂ emissions in China based on the STIRPAT model[J]. Science of the Total Environment, 2022, 809: 151098. doi: 10.1016/j.scitotenv.2021.151098

[47]

ARTO I, RUEDA-CANTUCHE J M, PETERS G P. Comparing the GTAP-MRIO and WIOD Databases for carbon footprint analysis[J]. Economic Systems Research, 2014, 26(3): 327-353. doi: 10.1080/09535314.2014.939949

[48]

OWEN A, WOOD R, BARRETT J, et al. Explaining value chain differences in MRIO databases through structural path decomposition[J]. Economic Systems Research, 2016, 28(2): 243-272. doi: 10.1080/09535314.2015.1135309

[49]

WANG W, HU Y. The measurement and influencing factors of carbon transfers embodied in inter-provincial trade in China[J]. Journal of Cleaner Production, 2020, 270: 122460. doi: 10.1016/j.jclepro.2020.122460

[50]

YU C, MIZUNOYA T, YAN J, et al. Guangdong’s embodied carbon emission in China’s inter-provincial trade based on MRIO model[J]. Environmental Science and Pollution Research, 2021, 28(18): 23432-23447. doi: 10.1007/s11356-020-11467-8

[51]

MINX J C, BAIOCCHI G, PETERS G P, et al. A “carbonizing dragon”: China’s fast growing CO₂ emissions revisited[J]. Environmental Science & Technology, 2011, 45(21): 9144-9153.

[52]

GARCIA R, FREIRE F. Carbon footprint of particleboard: a comparison between ISO/TS 14067, GHG Protocol, PAS 2050 and Climate Declaration[J]. Journal of Cleaner Production, 2014, 66: 199-209. doi: 10.1016/j.jclepro.2013.11.073