| [1] |
付晓, 金瑜倩, 刘志远, 等. 低碳导向下基于出行者活动行为的碳积分定价和公交服务优化[J]. 系统工程理论与实践, 2023, 43(6): 1782-1797.
|
|
Fu X, Jin Y Q, Liu Z Y, et al. Low-carbon oriented optimization of the carbon credit pricing and transit service based on travelers’activity behavior[J]. Systems Engineering —Theory & Practice, 2023, 43(6): 1782-1797.
|
| [2] |
张云辉, 郝时雨. 收入差距与经济集聚对碳排放影响的时空分析[J]. 软科学, 2022, 36(3): 62-67+82.
|
|
Zhang Y H, Hao S Y. Spatiotemporal analysis of the impact of income gap and economic agglomeration on carbon emissions[J].Soft Science,2022,36(3):62-67+82.
|
| [3] |
谢金良, 郭静, 黄雨婷, 等. 基于多源数据的中国家庭碳排放核算与占比估计[J]. 环境工程学报, 2024, 18(11): 3081-3091.
|
|
Xie J L, Guo J, Huang Y T, et al. Accounting for household carbon emissions and estimating their proportion in China based on multi-source data[J]. Chinese Journal of Environmental Engineering, 2024, 18(11): 3081-3091.
|
| [4] |
王会娟, 夏炎. 中国居民消费碳排放的影响因素及发展路径分析[J]. 中国管理科学, 2017, 25(8): 1-10.
|
|
Wang H J, Xia Y. Influence factors VS. developments of China’s household carbon emissions[J]. Chinese Journal of Management Science, 2017, 25(8): 1-10.
|
| [5] |
马恩朴, 蔡建明, 郭华, 等. 城市化背景下食物系统耦合研究的理论框架及优先方向[J]. 地理学报, 2021, 76(10): 2343-2359.
|
|
Ma E P, Cai J M, Guo H, et al. Theoretical framework and research priorities on food system couplings in an urbanization context[J]. Acta Geographica Sinica, 2021, 76(10): 2343-2359.
|
| [6] |
Christis M, Breemersch K, Vercalsteren A, et al. A detailed household carbon footprint analysis using expenditure accounts–Case of Flanders (Belgium)[J]. Journal of Cleaner Production, 2019, 228: 1167-1175.
|
| [7] |
Zhang Y, Wang F, Zhang B. The impacts of household structure transitions on household carbon emissions in China[J]. Ecological Economics, 2023, 206: 107734.
|
| [8] |
尹旦萍. 习近平关于家庭建设重要论述的意蕴及价值[J]. 马克思主义研究, 2023(8): 86-95.
|
|
Yin D P. Significance and value of Xi Jinping’s important discourse on family construction[J]. Studies on Marxism, 2023(8): 86-95.
|
| [9] |
国务院第七次全国人口普查领导小组办公室.中国人口普查年鉴—2020[EB/OL].(2022-06-10)[2023-12-23]..
|
|
Leading Group Office of the Seventh National Population Census of the State Council. China population census yearbook—2020[EB/OL]. (2022-06-10) [2023-12-23]. .
|
| [10] |
Markaki M, Belegri-Roboli A, Sarafidis Y, et al. The carbon footprint of Greek households (1995–2012)[J]. Energy Policy, 2017, 100: 206-215.
|
| [11] |
Isaksen E T, Narbel P A. A carbon footprint proportional to expenditure - A case for Norway?[J]. Ecological Economics, 2017, 131: 152-165.
|
| [12] |
Ivanova D, Vita G, Steen-Olsen K, et al. Mapping the carbon footprint of EU regions[J]. Environmental Research Letters, 2017, 12(5): 054013.
|
| [13] |
Miehe R, Scheumann R, Jones C M, et al. Regional carbon footprints of households: A German case study[J]. Environment, Development and Sustainability, 2016, 18(2): 577-591.
|
| [14] |
Long Y, Yoshida Y, Fang K, et al. City-level household carbon footprint from purchaser point of view by a modified input-output model[J]. Applied Energy, 2019, 236: 379-387.
|
| [15] |
Kanemoto K, Shigetomi Y, Hoang N T, et al. Spatial variation in household consumption-based carbon emission inventories for 1200 Japanese cities[J]. Environmental Research Letters, 2020, 15(11): 114053.
|
| [16] |
陈林, 王佳莹, 陈臻, 等. 中国居民收入与家庭碳达峰: 基于CGSS数据与多项Logit模型[J]. 中国软科学, 2024(4): 166-175.
|
|
Chen L, Wang J Y, Chen Z, et al. Chinese household income and household carbon peaking: Based on CGSS data and multinomial Logit model[J]. China Soft Science, 2024(4): 166-175.
|
| [17] |
王芳, 周兴. 人口结构、城镇化与碳排放——基于跨国面板数据的实证研究[J]. 中国人口科学, 2012, 26(2): 47-56+111.
|
|
Wang F, Zhou X. Population structure, urbanization and CO2 emission: An empirical study base on cross-country panel data[J]. Chinese Journal of Population Science, 2012, 26(2): 47-56+111.
|
| [18] |
Lee S, Lee B. The influence of urban form on GHG emissions in the U.S. household sector[J]. Energy Policy, 2014, 68: 534-549.
|
| [19] |
Lee J, Taherzadeh O, Kanemoto K. The scale and drivers of carbon footprints in households, cities and regions across India[J]. Global Environmental Change, 2021, 66: 102205.
|
| [20] |
Shigetomi Y, Kanemoto K, Yamamoto Y, et al. Quantifying the carbon footprint reduction potential of lifestyle choices in Japan[J]. Environmental Research Letters, 2021, 16(6): 064022.
|
| [21] |
Hertwich E G, Roux C. Greenhouse gas emissions from the consumption of electric and electronic equipment by Norwegian households[J]. Environmental Science & Technology, 2011, 45(19): 8190-8196.
|
| [22] |
Spreafico C, Russo D. Assessing domestic environmental impacts through LCA using data from the scientific literature[J]. Journal of Cleaner Production, 2020, 266: 121883.
|
| [23] |
Mi Z, Zheng J, Meng J, et al. Economic development and converging household carbon footprints in China[J]. Nature Sustainability, 2020, 3(7): 529-537.
|
| [24] |
Zhang Z, Cui Y, Zhang Z. Unequal age-based household carbon footprint in China[J]. Climate Policy, 2023, 23(5): 577-592.
|
| [25] |
Liu L, Qu J, Zhang Z, et al. Assessment and determinants of per capita household CO2 emissions (PHCEs) based on capital city level in China[J]. Journal of Geographical Sciences, 2018, 28(10): 1467-1484.
|
| [26] |
Shigetomi Y, Nansai K, Kagawa S, et al. Changes in the carbon footprint of Japanese households in an aging society[J]. Environmental Science & Technology, 2014, 48(11): 6069-6080.
|
| [27] |
Tang L, Yang J, Zheng J, et al. Assessing the impacts of fertility and retirement policies on China’s carbon emissions[J]. Nature Climate Change, 2024, 14(12): 1261-1267.
|
| [28] |
肖皓, 陈娅妮, 毕慧敏. 国外最终需求对我国碳排放的诱发效应: 基于中间品贸易渠道的考察[J]. 系统工程理论与实践, 2016, 36(10): 2549-2561.
|
|
Xiao H, Chen Y N, Bi H M. Foreign final demands' induced effects on China’s carbon emissions: From the view of intermediate goods trade[J]. Systems Engineering —Theory & Practice, 2016, 36(10): 2549-2561.
|
| [29] |
李玲, 张俊荣, 汤铃, 等. 我国能源强度变动的影响因素分析——基于SDA分解技术[J]. 中国管理科学, 2017, 25(9): 125-132.
|
|
Li L, Zhang J R, Tang L, et al. Analysis on factors of China’s energy intensity changes for 1997-2012: Based on structural decomposition analysis[J]. Chinese Journal of Management Science, 2017, 25(9): 125-132.
|
| [30] |
戴平生. 基于福利占优的我国城乡居民消费的税费调整[J]. 系统工程理论与实践,2018, 38(3): 594-602.
|
|
Dai P S. Adjustment of excise duty on consumption of residents in China based on welfare dominance[J]. Systems Engineering-Theory & Practice, 2018, 38(3): 594-602.
|
| [31] |
Wiedenhofer D, Guan D, Liu Z, et al. Unequal household carbon footprints in China[J]. Nature Climate Change, 2017, 7(1): 75-80.
|
| [32] |
陈飞, 陈琳. 城市规模与老龄健康: 来自CFPS和城市数据的经验证据[J]. 系统工程理论与实践, 2022, 42(12): 3184-3200.
|
|
Chen F, Chen L. City size and the health of the elderly: Empirical evidence from CFPS and city data[J]. Systems Engineering-Theory & Practice, 2022, 42(12): 3184-3200.
|
| [33] |
傅崇辉, 傅愈, 伍丽群, 等. 中国家庭户规模结构变动及其对居民消费的影响[J]. 人口研究, 2021, 45(1): 98-113.
|
|
Fu C H, Fu Y, Wu L Q, et al. Changes in household size and impacts on residential consumption in China[J]. Population Research, 2021, 45(1): 98-113.
|
| [34] |
张志强, 曲建升, 曾静静. 温室气体排放评价指标及其定量分析[J]. 地理学报, 2008, 63(7): 693-702.
|
|
Zhang Z Q, Qu J S, Zeng J J. A quantitative comparison and analytical study on the assessment indicators of greenhouse gases emissions[J]. Acta Geographica Sinica, 2008, 63(7): 693-702.
|
| [35] |
国家统计局.人口[EB/OL].(2019-12-02) [2023-12-23]. .
|
|
National Bureau of Statistics. Population[EB/OL].(2019-12-02)[2023-12-23]..
|
| [36] |
国家统计局.居民收入水平较快增长 生活质量取得显著提高[EB/OL].(2022-10-11) [2023-12-23]. .
|
|
National Bureau of Statistics. Rapid growth in residents’ income level and significant improvement in quality of life[EB/OL].(2022-10-11)[2023-12-23]. .
|
| [37] |
王伟同, 周洪成, 张妍彦. 看不见的家庭教育投资: 子女升学压力与母亲收入损失[J]. 经济研究, 2021, 56(9): 73-89.
|
|
Wang W T, Zhou H C, Zhang Y Y. Invisible spending on education: Pressure of entering higher education and loss of mother’s income[J]. Economic Research Journal, 2021, 56(9): 73-89.
|
| [38] |
周耀东, 郑善强. 多子女家庭和独生子女家庭消费影响因素的差异研究[J]. 西北人口, 2021, 42(6): 61-72.
|
|
Zhou Y D, Zheng S Q. Differences in factors affecting household consumption between multiple-child families and one-child families[J]. Northwest Population Journal, 2021, 42(6): 61-72.
|