Reducing environmental impacts through socioeconomic transitions: critical review and prospects

doi:10.1007/s11783-023-1624-1

Front. Environ. Sci. Eng.

2023, Vol. 17

Issue (2) : 24 https://doi.org/10.1007/s11783-023-1624-1

REVIEW ARTICLE

Reducing environmental impacts through socioeconomic transitions: critical review and prospects

Sai Liang(

), Qiumeng Zhong

Key Laboratory for City Cluster Environmental Safety and Green Development of the Ministry of Education, School of Ecology, Environment and Resources, Guangdong University of Technology, Guangzhou 510006, China

Download: PDF(14332 KB) HTML
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks

Abstract

● Reducing environmental impacts through socioeconomic structural transitions.

● Simulation of looping the dynamic material cycle should be concerned.

● Transboundary effects of socioeconomic transitions need to be analyzed.

● Facilitating interregional cooperation and synergetic control mechanisms.

Rapid socioeconomic development has caused numerous environmental impacts. Human production and consumption activities are the underlying drivers of resource uses, environmental emissions, and associated environmental impacts (e.g., ecosystem quality and human health). Reducing environmental impacts requires an understanding of the complex interactions between socioeconomic system and environmental system. Existing studies have explored the relationships among human society, economic system, and environmental system. However, it is unclear about the research progress in the effects of socioeconomic activities on environmental impacts and the potential directions of future research. This critical review finds that existing studies have identified critical regions, sectors, and transmission pathways for resource uses, environmental emissions, and environmental impacts from supply chain perspectives. Moreover, scholars have characterized the impacts of socioeconomic transitions on resource uses and environmental emissions. However, existing studies overlook the dynamic nature of the interconnections among human society, economic system, and environmental system. In addition, the effects of socioeconomic structural transitions on environmental impacts remain unknown. This review proposes four prospects and possible solutions that will contribute to a better understanding of the complex interactions among human society, economic system, and environmental system. They can help identify more effective solutions to reduce environmental impacts through socioeconomic transitions.

Keywords Environmental pressures Environmental impacts Nexus Supply chains Trade Coupled systems

Corresponding Author(s): Sai Liang

Issue Date: 17 October 2022

Cite this article:

Sai Liang,Qiumeng Zhong. Reducing environmental impacts through socioeconomic transitions: critical review and prospects[J]. Front. Environ. Sci. Eng., 2023, 17(2): 24.

URL:

https://academic.hep.com.cn/fese/EN/10.1007/s11783-023-1624-1
https://academic.hep.com.cn/fese/EN/Y2023/V17/I2/24

Fig.1 Relationships among human society, economic system, and environmental system.

Tab.1 Keywords used in literature search

Fig.2 Conceptual framework of socioeconomic processes driving resource uses and environmental emissions.

Tab.2 Studies related to the impact of socioeconomic transitions on the nexus

Fig.3 Processes from socioeconomic activities to environmental impacts.

Tab.3 Selected studies on critical socioeconomic drivers of environmental impacts

Fig.4 Natural and anthropogenic factors affecting environmental impacts.

Fig.5 Prospects for future research (The numbers in the circles represent four prospects: ① Simulation of looping the dynamic material cycle, ② Socioeconomic structural transitions influencing environmental impacts, ③ Transboundary effects of socioeconomic transitions, and ④ Interregional cooperation mechanisms for synergetic control of multiple environmental impacts).

1	Ackerman F, Decanio S J, Howarth R B, Sheeran K (2009). Limitations of integrated assessment models of climate change. Climatic Change, 95(3–4): 297–315
2	V Acuña, F Bregoli, C Font, D Barceló, L Corominas, A Ginebreda, M Petrovic, I Rodríguez-Roda, S Sabater, R Marcé. (2020). Management actions to mitigate the occurrence of pharmaceuticals in river networks in a global change context. Environment International, 143: 105993 https://doi.org/10.1016/j.envint.2020.105993 pmid: 32738769
3	T R Albrecht, A Crootof, C A Scott. (2018). The water-energy-food nexus: a systematic review of methods for nexus assessment. Environmental Research Letters, 13(4): 043002 https://doi.org/10.1088/1748-9326/aaa9c6
4	E B Barbier, J P Hochard. (2018). Land degradation and poverty. Nature Sustainability, 1(11): 623–631 https://doi.org/10.1038/s41893-018-0155-4
5	B Beckage, L J Gross, K Lacasse, E Carr, S S Metcalf, J M Winter, P D Howe, N Fefferman, T Franck, A Zia, A Kinzig, F M Hoffman. (2018). Linking models of human behaviour and climate alters projected climate change. Nature Climate Change, 8(1): 79–84 https://doi.org/10.1038/s41558-017-0031-7
6	R Bleischwitz, C Spataru, S D Vandeveer, M Obersteiner, E Van Der Voet, C Johnson, P Andrews-Speed, T Boersma, H Hoff, D P Van Vuuren. (2018). Resource nexus perspectives towards the United Nations sustainable development goals. Nature Sustainability, 1(12): 737–743 https://doi.org/10.1038/s41893-018-0173-2
7	X Bo, M Jia, X Xue, L Tang, Z Mi, S Wang, W Cui, X Chang, J Ruan, G Dong, B Zhou, S J Davis. (2021). Effect of strengthened standards on Chinese ironmaking and steelmaking emissions. Nature Sustainability, 4(9): 811–820 https://doi.org/10.1038/s41893-021-00736-0
8	M Brauer, M Amann, R T Burnett, A Cohen, F Dentener, M Ezzati, S B Henderson, M Krzyzanowski, R V Martin, R Van Dingenen, A van Donkelaar, G D Thurston. (2012). Exposure assessment for estimation of the global burden of disease attributable to outdoor air pollution. Environmental Science & Technology, 46(2): 652–660 https://doi.org/10.1021/es2025752 pmid: 22148428
9	B A Bryan, R K Runting, T Capon, M P Perring, S C Cunningham, M E Kragt, M Nolan, E A Law, A R Renwick, S Eber, R Christian, K A Wilson. (2016). Designer policy for carbon and biodiversity co-benefits under global change. Nature Climate Change, 6(3): 301–305 https://doi.org/10.1038/nclimate2874
10	B Cai, K Hubacek, K Feng, W Zhang, F Wang, Y Liu. (2020). Tension of agricultural land and water use in China’s trade: tele-connections, hidden drivers and potential solutions. Environmental Science & Technology, 54(9): 5365–5375 https://doi.org/10.1021/acs.est.0c00256 pmid: 32195586
11	J Chang, P Ciais, T Gasser, P Smith, M Herrero, P Havlík, M Obersteiner, B Guenet, D S Goll, W Li, V Naipal, S Peng, C Qiu, H Tian, N Viovy, C Yue, D Zhu. (2021). Climate warming from managed grasslands cancels the cooling effect of carbon sinks in sparsely grazed and natural grasslands. Nature Communications, 12(1): 118 https://doi.org/10.1038/s41467-020-20406-7 pmid: 33402687
12	N Chartres, L A Bero, S L Norris. (2019). A review of methods used for hazard identification and risk assessment of environmental hazards. Environment International, 123: 231–239 https://doi.org/10.1016/j.envint.2018.11.060 pmid: 30537638
13	C Chen, Z Jiang, N Li, H Wang, P Wang, Z Zhang, C Zhang, F Ma, Y Huang, X Lu, J Wei, J Qi, W Q Chen. (2022). Advancing UN Comtrade for physical trade flow analysis: review of data quality issues and solutions. Resources, Conservation and Recycling, 186: 106526 https://doi.org/10.1016/j.resconrec.2022.106526
14	J Chen, C Zhou, S Wang, S Li. (2018). Impacts of energy consumption structure, energy intensity, economic growth, urbanization on PM2.5 concentrations in countries globally. Applied Energy, 230: 94–105 https://doi.org/10.1016/j.apenergy.2018.08.089
15	J M Chen. (2021). Carbon neutrality: toward a sustainable future. The Innovation, 2(3): 100127 https://doi.org/10.1016/j.xinn.2021.100127 pmid: 34557769
16	L Chen, S Liang, M Liu, Y Yi, Z Mi, Y Zhang, Y Li, J Qi, J Meng, X Tang, H Zhang, Y Tong, W Zhang, X Wang, J Shu, Z Yang. (2019). Trans-provincial health impacts of atmospheric mercury emissions in China. Nature Communications, 10(1): 1484 https://doi.org/10.1038/s41467-019-09080-6 pmid: 30940811
17	L Chen, H H Wang, J F Liu, Y D Tong, L B Ou, W Zhang, D Hu, C Chen, X J Wang. (2014). Intercontinental transport and deposition patterns of atmospheric mercury from anthropogenic emissions. Atmospheric Chemistry and Physics, 14(18): 10163–10176 https://doi.org/10.5194/acp-14-10163-2014
18	S Chowdhury, A Pozzer, A Haines, K Klingmüller, T Münzel, P Paasonen, A Sharma, C Venkataraman, J Lelieveld. (2022). Global health burden of ambient PM2.5 and the contribution of anthropogenic black carbon and organic aerosols. Environment International, 159: 107020 https://doi.org/10.1016/j.envint.2021.107020 pmid: 34894485
19	M G Clayden, K A Kidd, B Wyn, J L Kirk, D Muir, N J O’Driscoll. (2013). Mercury biomagnification through food webs is affected by physical and chemical characteristics of lakes. Environmental Science & Technology, 47(21): 12047–12053 https://doi.org/10.1021/es4022975 pmid: 24099312
20	A J Cohen, M Brauer, R Burnett, H R Anderson, J Frostad, K Estep, K Balakrishnan, B Brunekreef, L Dandona, R Dandona. et al.. (2017). Estimates and 25-year trends of the global burden of disease attributable to ambient air pollution: an analysis of data from the Global Burden of Diseases Study 2015. Lancet, 389(10082): 1907–1918 https://doi.org/10.1016/S0140-6736(17)30505-6 pmid: 28408086
21	P D’Odorico, K F Davis, L Rosa, J A Carr, D Chiarelli, J Dell’angelo, J Gephart, G K Macdonald, D A Seekell, S Suweis, M C Rulli. (2018). The global food-energy-water nexus. Reviews of Geophysics, 56(3): 456–531 https://doi.org/10.1029/2017RG000591
22	F Deng, Z Lv, L Qi, X Wang, M Shi, H Liu. (2020). A big data approach to improving the vehicle emission inventory in China. Nature Communications, 11(1): 2801 https://doi.org/10.1038/s41467-020-16579-w pmid: 32493934
23	D Ding, J Xing, S Wang, K Liu, J Hao. (2019a). Estimated contributions of emissions controls, meteorological factors, population growth, and changes in baseline mortality to reductions in ambient PM2.5 and PM2.5-related mortality in China, 2013–2017. Environmental Health Perspectives, 127(6): 067009 https://doi.org/10.1289/EHP4157 pmid: 31232608
24	K J Ding, T Gunda, G M Hornberger. (2019b). Prominent influence of socioeconomic and governance factors on the food-energy-water nexus in sub-Saharan Africa. Earth’s Future, 7(9): 1071–1087 https://doi.org/10.1029/2019EF001184
25	F Dong, B L Yu, Y L Pan. (2019). Examining the synergistic effect of CO2 emissions on PM2.5 emissions reduction: evidence from China. Journal of Cleaner Production, 223: 759–771 https://doi.org/10.1016/j.jclepro.2019.03.152
26	H Dong, H Dai, L Dong, T Fujita, Y Geng, Z Klimont, T Inoue, S Bunya, M Fujii, T Masui. (2015). Pursuing air pollutant co-benefits of CO2 mitigation in China: a provincial leveled analysis. Applied Energy, 144: 165–174 https://doi.org/10.1016/j.apenergy.2015.02.020
27	J Du, X Zhang, T Huang, M Li, Z Ga, H Ge, Z Wang, H Gao, J Ma. (2021). Trade-driven black carbon climate forcing and environmental equality under China’s west-east energy transmission. Journal of Cleaner Production, 313: 127896 https://doi.org/10.1016/j.jclepro.2021.127896
28	Y Du, Y Ge, Y Ren, X Fan, K Pan, L Lin, X Wu, Y Min, L A Meyerson, M Heino, S X Chang, X Liu, F Mao, G Yang, C Peng, Z Qu, J Chang, R K Didham. (2018). A global strategy to mitigate the environmental impact of China’s ruminant consumption boom. Nature Communications, 9(1): 4133 https://doi.org/10.1038/s41467-018-06381-0 pmid: 30297840
29	C Duan, B Chen. (2020). Driving factors of water-energy nexus in China. Applied Energy, 257: 113984 https://doi.org/10.1016/j.apenergy.2019.113984
30	A Endo, I Tsurita, K Burnett, P M Orencio. (2017). A review of the current state of research on the water, energy, and food nexus. Journal of Hydrology: Regional Studies, 11: 20–30 https://doi.org/10.1016/j.ejrh.2015.11.010
31	Eurostat. (2001). Economy-wide material-flow accounts and derived indicators: a methodological guide. European Commission, Luxembourg
32	T Avelino A F, S Dall'erba. (2020). What factors drive the changes in water withdrawals in the U.S. Agriculture and food manufacturing industries between 1995 and 2010? Environmental Science & Technology, 54(17): 10421–10434 pmid: 32786598
33	G Fan, Z Liu, X Liu, Y Shi, D Wu, J Guo, S Zhang, X Yang, Y Zhang. (2022). Energy management strategies and multi-objective optimization of a near-zero energy community energy supply system combined with hybrid energy storage. Sustainable Cities and Society, 83: 103970 https://doi.org/10.1016/j.scs.2022.103970
34	Z Feng, A De Marco, A Anav, M Gualtieri, P Sicard, H Tian, F Fornasier, F Tao, A Guo, E Paoletti. (2019). Economic losses due to ozone impacts on human health, forest productivity and crop yield across China. Environment International, 131: 104966 https://doi.org/10.1016/j.envint.2019.104966 pmid: 31284106
35	P J Ferraro, J N Sanchirico, M D Smith. (2019). Causal inference in coupled human and natural systems. Proceedings of the National Academy of Sciences of the United States of America, 116(12): 5311–5318 https://doi.org/10.1073/pnas.1805563115 pmid: 30126992
36	D Font Vivanco, B Sprecher, E Hertwich. (2017). Scarcity-weighted global land and metal footprints. Ecological Indicators, 83: 323–327 https://doi.org/10.1016/j.ecolind.2017.08.004
37	C L E Franzke, M Czupryna. (2020). Probabilistic assessment and projections of US weather and climate risks and economic damages. Climatic Change, 158(3–4): 503–515 https://doi.org/10.1007/s10584-019-02558-8
38	Nerini F Fuso, J Tomei, L S To, I Bisaga, P Parikh, M Black, A Borrion, C Spataru, Broto V Castán, G Anandarajah, B Milligan, Y Mulugetta. (2018). Mapping synergies and trade-offs between energy and the Sustainable Development Goals. Nature Energy, 3(1): 10–15 https://doi.org/10.1038/s41560-017-0036-5
39	J Gao, K Wang, Y Wang, S Liu, C Zhu, J Hao, H Liu, S Hua, H Tian. (2018). Temporal-spatial characteristics and source apportionment of PM2.5 as well as its associated chemical species in the Beijing-Tianjin-Hebei region of China. Environmental Pollution, 233: 714–724 https://doi.org/10.1016/j.envpol.2017.10.123 pmid: 29126093
40	G Geng, Y Zheng, Q Zhang, T Xue, H Zhao, D Tong, B Zheng, M Li, F Liu, C Hong, K He, S J Davis. (2021). Drivers of PM2.5 air pollution deaths in China 2002–2017. Nature Geoscience, 14(9): 645–650 https://doi.org/10.1038/s41561-021-00792-3
41	T E Graedel. (2019). Material flow analysis from origin to evolution. Environmental Science & Technology, 53(21): 12188–12196 https://doi.org/10.1021/acs.est.9b03413 pmid: 31549816
42	D Guan, Z Liu, Y Geng, S Lindner, K Hubacek. (2012). The gigatonne gap in China’s carbon dioxide inventories. Nature Climate Change, 2(9): 672–675 https://doi.org/10.1038/nclimate1560
43	S Guan, M Han, X Wu, C Guan, B Zhang. (2019). Exploring energy-water-land nexus in national supply chains: China 2012. Energy, 185: 1225–1234 https://doi.org/10.1016/j.energy.2019.07.130
44	W J Guan, X Y Zheng, K F Chung, N S Zhong. (2016). Impact of air pollution on the burden of chronic respiratory diseases in China: time for urgent action. Lancet, 388(10054): 1939–1951 https://doi.org/10.1016/S0140-6736(16)31597-5 pmid: 27751401
45	F Guang, Y He, L Wen, B Sharp. (2019). Energy intensity and its differences across China’s regions: combining econometric and decomposition analysis. Energy, 180: 989–1000 https://doi.org/10.1016/j.energy.2019.05.150
46	Y Guo, P He, T D Searchinger, Y Chen, M Springmann, M Zhou, X Zhang, L Zhang, D L Mauzerall. (2022). Environmental and human health trade-offs in potential Chinese dietary shifts. One Earth, 5(3): 268–282 https://doi.org/10.1016/j.oneear.2022.02.002
47	C He, Z Liu, J Wu, X Pan, Z Fang, J Li, B A Bryan. (2021). Future global urban water scarcity and potential solutions. Nature Communications, 12(1): 4667 https://doi.org/10.1038/s41467-021-25026-3 pmid: 34344898
48	He Y, Weng Q (2018). High Spatial Resolution Remote Sensing: Data, Analysis, and Applications. Boston: CRC Press
49	E Hemmativaghef. (2020). Exposure to lead, mercury, styrene, and toluene and hearing impairment: evaluation of dose-response relationships, regulations, and controls. Journal of Occupational and Environmental Hygiene, 17(11–12): 574–597 https://doi.org/10.1080/15459624.2020.1842428 pmid: 33275083
50	J Hill, A Goodkind, C Tessum, S Thakrar, D Tilman, S Polasky, T Smith, N Hunt, K Mullins, M Clark, J Marshall. (2019). Air-quality-related health damages of maize. Nature Sustainability, 2(5): 397–403 https://doi.org/10.1038/s41893-019-0261-y
51	C Hong, Q Zhang, K He, D Guan, M Li, F Liu, B Zheng. (2017). Variations of China’s emission estimates: response to uncertainties in energy statistics. Atmospheric Chemistry and Physics, 17(2): 1227–1239 https://doi.org/10.5194/acp-17-1227-2017
52	C Hong, Q Zhang, Y Zhang, S J Davis, D Tong, Y Zheng, Z Liu, D Guan, K He, H J Schellnhuber. (2019). Impacts of climate change on future air quality and human health in China. Proceedings of the National Academy of Sciences of the United States of America, 116(35): 17193–17200 https://doi.org/10.1073/pnas.1812881116 pmid: 31405979
53	C Hong, H Zhao, Y Qin, J A Burney, J Pongratz, K Hartung, Y Liu, F C Moore, R B Jackson, Q Zhang, S J Davis. (2022). Land-use emissions embodied in international trade. Science, 376(6593): 597–603 https://doi.org/10.1126/science.abj1572 pmid: 35511968
54	M A J Huijbregts, Z J N Steinmann, P M F Elshout, G Stam, F Verones, M Vieira, M Zijp, A Hollander, R Zelm. (2017). ReCiPe2016: a harmonised life cycle impact assessment method at midpoint and endpoint level. International Journal of Life Cycle Assessment, 22(2): 138–147 https://doi.org/10.1007/s11367-016-1246-y
55	H P Huntington, J I Schmidt, P A Loring, E Whitney, S Aggarwal, A G Byrd, S Dev, A D Dotson, D Huang, B Johnson. et al.. (2021). Applying the food–energy–water nexus concept at the local scale. Nature Sustainability, 4(8): 672–679 https://doi.org/10.1038/s41893-021-00719-1
56	J Jia, Z Gong, Z Gu, C Chen, D Xie. (2018). Multi-perspective comparisons and mitigation implications of SO2 and NOx discharges from the industrial sector of China: a decomposition analysis. Environmental Science and Pollution Research International, 25(10): 9600–9614 https://doi.org/10.1007/s11356-018-1306-x pmid: 29359250
57	X Jia, D O’Connor, D Hou, Y Jin, G Li, C Zheng, Y S Ok, D C W Tsang, J Luo. (2019). Groundwater depletion and contamination: spatial distribution of groundwater resources sustainability in China. Science of the Total Environment, 672: 551–562 https://doi.org/10.1016/j.scitotenv.2019.03.457 pmid: 30965267
58	Y Jiang, J Xing, S Wang, X Chang, S Liu, A Shi, B Liu, K Sahu Shovan. (2021). Understand the local and regional contributions on air pollution from the view of human health impacts. Frontiers of Environmental Science & Engineering, 15(5): 88 https://doi.org/10.1007/s11783-020-1382-2
59	A Jordan, H M Patch, C M Grozinger, V Khanna. (2021). Economic dependence and vulnerability of United States agricultural sector on insect-mediated pollination service. Environmental Science & Technology, 55(4): 2243–2253 https://doi.org/10.1021/acs.est.0c04786 pmid: 33496588
60	J Kovanda, T Hak. (2008). Changes in materials use in transition economies. Journal of Industrial Ecology, 12(5–6): 721–738 https://doi.org/10.1111/j.1530-9290.2008.00088.x
61	S Y Kwon, N E Selin, A Giang, V J Karplus, D Zhang. (2018). Present and future mercury concentrations in Chinese rice: insights from modeling. Global Biogeochemical Cycles, 32(3): 437–462 https://doi.org/10.1002/2017GB005824
62	P J Landrigan, R Fuller, N J R Acosta, O Adeyi, R Arnold, N N Basu, A B Baldé, R Bertollini, S Bose-O’Reilly, J I Boufford. et al.. (2018). The Lancet Commission on pollution and health. Lancet, 391(10119): 462–512 https://doi.org/10.1016/S0140-6736(17)32345-0 pmid: 29056410
63	R A Lavoie, T D Jardine, M M Chumchal, K A Kidd, L M Campbell. (2013). Biomagnification of mercury in aquatic food webs: a worldwide meta-analysis. Environmental Science & Technology, 47(23): 13385–13394 https://doi.org/10.1021/es403103t pmid: 24151937
64	L C Lee, Y Wang, J Zuo. (2021). The nexus of water-energy-food in China’s tourism industry. Resources, Conservation, and Recycling, 164: 105157 https://doi.org/10.1016/j.resconrec.2020.105157 pmid: 32952298
65	J Lelieveld, J S Evans, M Fnais, D Giannadaki, A Pozzer. (2015). The contribution of outdoor air pollution sources to premature mortality on a global scale. Nature, 525(7569): 367–371 https://doi.org/10.1038/nature15371 pmid: 26381985
66	M Lenzen, D Moran, K Kanemoto, B Foran, L Lobefaro, A Geschke. (2012). International trade drives biodiversity threats in developing nations. Nature, 486(7401): 109–112 https://doi.org/10.1038/nature11145 pmid: 22678290
67	M Lenzen, J Murray. (2010). Conceptualising environmental responsibility. Ecological Economics, 70(2): 261–270 https://doi.org/10.1016/j.ecolecon.2010.04.005
68	B Li, T Gasser, P Ciais, S Piao, S Tao, Y Balkanski, D Hauglustaine, J P Boisier, Z Chen, M Huang. et al.. (2016a). The contribution of China’s emissions to global climate forcing. Nature, 531(7594): 357–361 https://doi.org/10.1038/nature17165 pmid: 26983540
69	H Li, Y Zhao, L Zheng, S Wang, J Kang, Y Liu, H Li, L Shi, Y Shan. (2021a). Dynamic characteristics and drivers of the regional household energy-carbon-water nexus in China. Environmental Science and Pollution Research International, 28(39): 55220–55232 https://doi.org/10.1007/s11356-021-13924-4 pmid: 34128163
70	H Li, Y Geng , R Shinwari, W Yangjie, H Rjoub (2021b). Does renewable energy electricity and economic complexity index help to achieve carbon neutrality target of top exporting countries? Journal of Environmental Management, 299: 113386
71	J Li, S Zhou, W Wei, J Qi, Y Li, B Chen, N Zhang, D Guan, H Qian, X Wu, J Miao, L Chen, K Feng, S Liang. (2020a). China’s retrofitting measures in coal-fired power plants bring significant mercury-related health benefits. One Earth, 3(6): 777–787 https://doi.org/10.1016/j.oneear.2020.11.012
72	J Li, H Zhou, J Meng, Q Yang, B Chen, Y Zhang. (2018). Carbon emissions and their drivers for a typical urban economy from multiple perspectives: a case analysis for Beijing city. Applied Energy, 226: 1076–1086 https://doi.org/10.1016/j.apenergy.2018.06.004
73	L Li, X Wang, J Miao, A Abulimiti, X Jing, N Ren. (2022a). Carbon neutrality of wastewater treatment: a systematic concept beyond the plant boundary. Environmental Science and Ecotechnology, 11: 100180 https://doi.org/10.1016/j.ese.2022.100180
74	Y Li, L Chen, S Liang, J Qi, H Zhou, C Feng, X Yang, X Wu, Z Mi, Z Yang. (2020b). Spatially explicit global hotspots driving China’s mercury related health impacts. Environmental Science & Technology, 54(22): 14547–14557 https://doi.org/10.1021/acs.est.0c04658 pmid: 33112142
75	Y Li, L Chen, S Liang, H Zhou, Y R Liu, H Zhong, Z Yang. (2022b). Looping mercury cycle in global environmental-economic system modeling. Environmental Science & Technology, 56(5): 2861–2879 https://doi.org/10.1021/acs.est.1c03936 pmid: 35129955
76	Y Li, J Meng, J Liu, Y Xu, D Guan, W Tao, Y Huang, S Tao. (2016b). Interprovincial reliance for improving air quality in China: a case study on black carbon aerosol. Environmental Science & Technology, 50(7): 4118–4126 https://doi.org/10.1021/acs.est.5b05989 pmid: 26950657
77	S Liang, W Chang, H Zhou, J Qi, Y Li, C Feng, S Wang. (2021a). Global economic structure transition boosts atmospheric mercury emissions in China. Earth's Future, 9(6): e2021EF002076 https://doi.org/10.1029/2021EF002076
78	S Liang, Z Liu, D Crawford-Brown, Y Wang, M Xu. (2014). Decoupling analysis and socioeconomic drivers of environmental pressure in China. Environmental Science & Technology, 48(2): 1103–1113 https://doi.org/10.1021/es4042429 pmid: 24354299
79	S Liang, S Qu, M Xu. (2016a). Betweenness-based method to identify critical transmission sectors for supply chain environmental pressure mitigation. Environmental Science & Technology, 50(3): 1330–1337 https://doi.org/10.1021/acs.est.5b04855 pmid: 26727352
80	S Liang, S Qu, Q Zhao, X Zhang, G T Daigger, J P Newell, S A Miller, J X Johnson, N G Love, L Zhang. et al.. (2019). Quantifying the urban food-energy-water nexus: the case of the Detroit metropolitan area. Environmental Science & Technology, 53(2): 779–788 https://doi.org/10.1021/acs.est.8b06240 pmid: 30540460
81	S Liang, S Qu, Z Zhu, D Guan, M Xu. (2017). Income-based greenhouse gas emissions of nations. Environmental Science & Technology, 51(1): 346–355 https://doi.org/10.1021/acs.est.6b02510 pmid: 27936320
82	S Liang, H Wang, S Qu, T Feng, D Guan, H Fang, M Xu. (2016b). Socioeconomic drivers of greenhouse gas emissions in the United States. Environmental Science & Technology, 50(14): 7535–7545 https://doi.org/10.1021/acs.est.6b00872 pmid: 27276120
83	S Liang, Y Wang, S Cinnirella, N Pirrone. (2015). Atmospheric mercury footprints of nations. Environmental Science & Technology, 49(6): 3566–3574 https://doi.org/10.1021/es503977y pmid: 25723898
84	S Liang, M Xu, Z Liu, S Suh, T Zhang. (2013a). Socioeconomic drivers of mercury emissions in China from 1992 to 2007. Environmental Science & Technology, 47(7): 3234–3240 https://doi.org/10.1021/es303728d pmid: 23473539
85	S Liang, M Xu, S Suh, R R Tan. (2013b). Unintended environmental consequences and co-benefits of economic restructuring. Environmental Science & Technology, 47(22): 12894–12902 https://doi.org/10.1021/es402458u pmid: 24117387
86	Y Liang, Y Li, S Liang, C Feng, L Xu, J Qi, X Yang, Y Wang, C Zhang, K Li, H Li, Z Yang. (2020). Quantifying direct and indirect spatial food-energy-water (few) nexus in China. Environmental Science & Technology, 54(16): 9791–9803 https://doi.org/10.1021/acs.est.9b06548 pmid: 32677825
87	Y Liang, S Liang, K Li, J Qi, C Feng, L Xu, Z Yang. (2021b). Socioeconomic determinants for the changing food-related scarce water uses in Chinese regions. Journal of Cleaner Production, 316: 128190 https://doi.org/10.1016/j.jclepro.2021.128190
88	S Liao, Y Wu, S W Wong, L Shen. (2020). Provincial perspective analysis on the coordination between urbanization growth and resource environment carrying capacity (RECC) in China. Science of the Total Environment, 730: 138964 https://doi.org/10.1016/j.scitotenv.2020.138964 pmid: 32402965
89	C Lin, J Qi, S Liang, C Feng, T O Wiedmann, Y Liao, X Yang, Y Li, Z Mi, Z Yang. (2020). Saving less in China facilitates global CO2 mitigation. Nature Communications, 11(1): 1358 https://doi.org/10.1038/s41467-020-15175-2 pmid: 32170147
90	J Lin, M Du, L Chen, K Feng, Y Liu, R V Martin, J Wang, R Ni, Y Zhao, H Kong, H Weng, M Liu, A Donkelaar, Q Liu, K Hubacek. (2019). Carbon and health implications of trade restrictions. Nature Communications, 10(1): 4947 https://doi.org/10.1038/s41467-019-12890-3 pmid: 31666528
91	J Lin, D Tong, S Davis, R Ni, X Tan, D Pan, H Zhao, Z Lu, D Streets, T Feng. et al.. (2016). Global climate forcing of aerosols embodied in international trade. Nature Geoscience, 9(10): 790–794 https://doi.org/10.1038/ngeo2798
92	J Liu, T Dietz, S R Carpenter, M Alberti, C Folke, E Moran, A N Pell, P Deadman, T Kratz, J Lubchenco. et al.. (2007). Complexity of coupled human and natural systems. Science, 317(5844): 1513–1516 https://doi.org/10.1126/science.1144004 pmid: 17872436
93	J Liu, V Hull, H C J Godfray, D Tilman, P Gleick, H Hoff, C Pahl-Wostl, Z Xu, M G Chung, J Sun, S Li. (2018). Nexus approaches to global sustainable development. Nature Sustainability, 1(9): 466–476 https://doi.org/10.1038/s41893-018-0135-8
94	J Liu, H Mooney, V Hull, S J Davis, J Gaskell, T Hertel, J Lubchenco, K C Seto, P Gleick, C Kremen, S Li. (2015). Systems integration for global sustainability. Science, 347(6225): 1258832 https://doi.org/10.1126/science.1258832 pmid: 25722418
95	J Liu, H Yin, X Tang, T Zhu, Q Zhang, Z Liu, X Tang, H Yi. (2021a). Transition in air pollution, disease burden and health cost in China: a comparative study of long-term and short-term exposure. Environmental Pollution, 277: 116770 https://doi.org/10.1016/j.envpol.2021.116770 pmid: 33640815
96	M Liu, Q Zhang, C Yu, L Yuan, Y He, W Xiao, H Zhang, J Guo, W Zhang, Y Li. et al.. (2021b). Observation-based mercury export from rivers to coastal oceans in East Asia. Environmental Science & Technology, 55(20): 14269–14280 https://doi.org/10.1021/acs.est.1c03755 pmid: 34618428
97	X Liu, Y Huang, X Xu, X Li, P Ciais, P Lin, K Gong, A D Ziegler, A Chen, P Gong. et al.. (2020). High-spatiotemporal-resolution mapping of global urban change from 1985 to 2015. Nature Sustainability, 3(7): 564–570 https://doi.org/10.1038/s41893-020-0521-x
98	R Ma, K Li, Y Guo, B Zhang, X Zhao, S Linder, C Guan, G Chen, Y Gan, J Meng. (2021). Mitigation potential of global ammonia emissions and related health impacts in the trade network. Nature Communications, 12(1): 6308 https://doi.org/10.1038/s41467-021-25854-3
99	T Ma, S Sun, G Fu, J W Hall, Y Ni, L He, J Yi, N Zhao, Y Du, T Pei, W Cheng, C Song, C Fang, C Zhou. (2020). Pollution exacerbates China’s water scarcity and its regional inequality. Nature Communications, 11(1): 650 https://doi.org/10.1038/s41467-020-14532-5 pmid: 32005847
100	C Magazzino, M Mele, N Schneider. (2021). A machine learning approach on the relationship among solar and wind energy production, coal consumption, GDP, and CO2 emissions. Renewable Energy, 167: 99–115 https://doi.org/10.1016/j.renene.2020.11.050
101	A Marques, I S Martins, T Kastner, C Plutzar, M C Theurl, N Eisenmenger, M A J Huijbregts, R Wood, K Stadler, M Bruckner. et al.. (2019). Increasing impacts of land use on biodiversity and carbon sequestration driven by population and economic growth. Nature Ecology & Evolution, 3(4): 628–637 https://doi.org/10.1038/s41559-019-0824-3 pmid: 30833755
102	A Marques, J Rodrigues, M Lenzen, T Domingos. (2012). Income-based environmental responsibility. Ecological Economics, 84: 57–65 https://doi.org/10.1016/j.ecolecon.2012.09.010
103	P Massányi, M Massányi, R Madeddu, R Stawarz, N Lukáč. (2020). Effects of cadmium, lead, and mercury on the structure and function of reproductive organs. Toxics, 8(4): 94 https://doi.org/10.3390/toxics8040094 pmid: 33137881
104	Z Mi, Y Zhang, D Guan, Y Shan, Z Liu, R Cong, X Yuan, Y Wei. (2016). Consumption-based emission accounting for Chinese cities. Applied Energy, 184: 1073–1081 https://doi.org/10.1016/j.apenergy.2016.06.094
105	Miller R E, Blair P D (2009). Input-output Analysis: Foundations and Extensions. Cambridge: Cambridge University Press
106	F C Moore, K Lacasse, K J Mach, Y A Shin, L J Gross, B Beckage. (2022). Determinants of emissions pathways in the coupled climate-social system. Nature, 603(7899): 103–111 https://doi.org/10.1038/s41586-022-04423-8 pmid: 35173331
107	R H Moss, J A Edmonds, K A Hibbard, M R Manning, S K Rose, Vuuren D P van, T R Carter, S Emori, M Kainuma, T Kram. et al.. (2010). The next generation of scenarios for climate change research and assessment. Nature, 463(7282): 747–756 https://doi.org/10.1038/nature08823 pmid: 20148028
108	V Moutinho, A C Moreira, P M Silva. (2015). The driving forces of change in energy-related CO2 emissions in Eastern, Western, Northern and Southern Europe: The LMDI approach to decomposition analysis. Renewable & Sustainable Energy Reviews, 50: 1485–1499 https://doi.org/10.1016/j.rser.2015.05.072
109	K Nansai, S Tohno, S Chatani, K Kanemoto, M Kurogi, Y Fujii, S Kagawa, Y Kondo, F Nagashima, W Takayanagi, M Lenzen. (2020). Affluent countries inflict inequitable mortality and economic loss on Asia via PM2.5 emissions. Environment International, 134: 105238 https://doi.org/10.1016/j.envint.2019.105238 pmid: 31704567
110	K S Nielsen, K A Nicholas, F Creutzig, T Dietz, P C Stern. (2021). The role of high-socioeconomic-status people in locking in or rapidly reducing energy-driven greenhouse gas emissions. Nature Energy, 6(11): 1011–1016 https://doi.org/10.1038/s41560-021-00900-y
111	C C O'Hara, M Frazier, B S Halpern. (2021). At-risk marine biodiversity faces extensive, expanding, and intensifying human impacts. Science, 372(6537): 84–87 https://doi.org/10.1126/science.abe6731 pmid: 33795456
112	Y Oswald, A Owen, J K Steinberger. (2020). Large inequality in international and intranational energy footprints between income groups and across consumption categories. Nature Energy, 5(3): 231–239 https://doi.org/10.1038/s41560-020-0579-8
113	A Owen, K Scott, J Barrett. (2018). Identifying critical supply chains and final products: An input-output approach to exploring the energy-water-food nexus. Applied Energy, 210: 632–642 https://doi.org/10.1016/j.apenergy.2017.09.069
114	A V Pastor, A Palazzo, P Havlik, H Biemans, Y Wada, M Obersteiner, P Kabat, F Ludwig. (2019). The global nexus of food–trade–water sustaining environmental flows by 2050. Nature Sustainability, 2(6): 499–507 https://doi.org/10.1038/s41893-019-0287-1
115	L Peng, F Liu, M Zhou, M Li, Q Zhang, D L Mauzerall. (2021a). Alternative-energy-vehicles deployment delivers climate, air quality, and health co-benefits when coupled with decarbonizing power generation in China. One Earth, 4(8): 1127–1140 https://doi.org/10.1016/j.oneear.2021.07.007
116	W Peng, G Iyer, V Bosetti, V Chaturvedi, J Edmonds, A A Fawcett, S Hallegatte, D G Victor, D van Vuuren, J Weyant. (2021b). Climate policy models need to get real about people - Here’s how. Nature, 594(7862): 174–176 https://doi.org/10.1038/d41586-021-01500-2 pmid: 34103720
117	W Peng, F Wagner, M V Ramana, H Zhai, M J Small, C Dalin, X Zhang, D L Mauzerall. (2018). Managing China’s coal power plants to address multiple environmental objectives. Nature Sustainability, 1(11): 693–701 https://doi.org/10.1038/s41893-018-0174-1
118	G P Peters. (2008). From production-based to consumption-based national emission inventories. Ecological Economics, 65(1): 13–23 https://doi.org/10.1016/j.ecolecon.2007.10.014
119	S Piao, C Yue, J Ding, Z Guo. (2022). Perspectives on the role of terrestrial ecosystems in the ‘carbon neutrality’ strategy. Science China Earth Sciences, 65(6): 1178–1186 https://doi.org/10.1007/s11430-022-9926-6
120	C Pichery, M Bellanger, D Zmirou-Navier, N Fréry, S Cordier, A Roue-Legall, P Hartemann, P Grandjean. (2012). Economic evaluation of health consequences of prenatal methylmercury exposure in France. Environmental Health, 11(1): 53 https://doi.org/10.1186/1476-069X-11-53 pmid: 22883022
121	J Qi, Y Wang, S Liang, Y Li, Y Li, C Feng, L Xu, S Wang, L Chen, D Wang, Z Yang. (2019). Primary suppliers driving atmospheric mercury emissions through global supply chains. One Earth, 1(2): 254–266 https://doi.org/10.1016/j.oneear.2019.10.005
122	H Qian, S Xu, J Cao, F Ren, W Wei, J Meng, L Wu. (2021). Air pollution reduction and climate co-benefits in China’s industries. Nature Sustainability, 4(5): 417–425 https://doi.org/10.1038/s41893-020-00669-0
123	S Qu, S Liang, M Konar, Z Zhu, A S F Chiu, X Jia, M Xu. (2018). Virtual water scarcity risk to the global trade system. Environmental Science & Technology, 52(2): 673–683 https://doi.org/10.1021/acs.est.7b04309 pmid: 29231718
124	V Ramanathan, Y Xu, A Versaci. (2022). Modelling human–natural systems interactions with implications for twenty-first-century warming. Nature Sustainability, 5(3): 263–271 https://doi.org/10.1038/s41893-021-00826-z
125	N D Rao, G Kiesewetter, J Min, S Pachauri, F Wagner. (2021). Household contributions to and impacts from air pollution in India. Nature Sustainability, 4(10): 859–867 https://doi.org/10.1038/s41893-021-00744-0
126	J Rodrigues, T Domingos. (2008). Consumer and producer environmental responsibility: comparing two approaches. Ecological Economics, 66(2–3): 533–546 https://doi.org/10.1016/j.ecolecon.2007.12.010
127	B H Samset, J S Fuglestvedt, M T Lund. (2020). Delayed emergence of a global temperature response after emission mitigation. Nature Communications, 11(1): 3261 https://doi.org/10.1038/s41467-020-17001-1 pmid: 32636367
128	E A G Schuur, A D Mcguire, C Schadel, G Grosse, J W Harden, D J Hayes, G Hugelius, C D Koven, P Kuhry, D M Lawrence, S M Natali, D Olefeldt, V E Romanovsky, K Schaefer, M R Turetsky, C C Treat, J E Vonk. (2015). Climate change and the permafrost carbon feedback. Nature, 520(7546): 171–179 https://doi.org/10.1038/nature14338
129	S M Shah, G Y Liu, Q Yang, X Q Wang, M Casazza, F Agostinho, G V Lombardi, B F Giannetti. (2019). Emergy-based valuation of agriculture ecosystem services and dis-services. Journal of Cleaner Production, 239: 118019 https://doi.org/10.1016/j.jclepro.2019.118019
130	Y Shan, D Guan, H Zheng, J Ou, Y Li, J Meng, Z Mi, Z Liu, Q Zhang. (2018). China CO2 emission accounts 1997-2015. Scientific Data, 5(1): 170201 https://doi.org/10.1038/sdata.2017.201 pmid: 29337312
131	W Shao, F Li, X Cao, Z Tang, Y Bai, S Yang. (2020). Reducing export-driven CO2 and PM emissions in China’s provinces: a structural decomposition and coordinated effects analysis. Journal of Cleaner Production, 274: 123101 https://doi.org/10.1016/j.jclepro.2020.123101
132	G Shi, X Lu, Y Deng, J Urpelainen, L C Liu, Z Zhang, W Wei, H Wang. (2020). Air pollutant emissions induced by population migration in China. Environmental Science & Technology, 54(10): 6308–6318 https://doi.org/10.1021/acs.est.0c00726 pmid: 32216336
133	B Singh, A H Strømman, E G Hertwich. (2012). Scenarios for the environmental impact of fossil fuel power: co-benefits and trade-offs of carbon capture and storage. Energy, 45(1): 762–770 https://doi.org/10.1016/j.energy.2012.07.014
134	K W Steininger, C Lininger, L H Meyer, P Munoz, T Schinko. (2016). Multiple carbon accounting to support just and effective climate policies. Nature Climate Change, 6(1): 35–41 https://doi.org/10.1038/nclimate2867
135	C W Tessum, J S Apte, A L Goodkind, N Z Muller, K A Mullins, D A Paolella, S Polasky, N P Springer, S K Thakrar, J D Marshall, J D Hill. (2019). Inequity in consumption of goods and services adds to racial-ethnic disparities in air pollution exposure. Proceedings of the National Academy of Sciences of the United States of America, 116(13): 6001–6006 https://doi.org/10.1073/pnas.1818859116 pmid: 30858319
136	E Trutnevyte, L F Hirt, N Bauer, A Cherp, A Hawkes, O Y Edelenbosch, S Pedde, D P Van Vuuren. (2019). Societal transformations in models for energy and climate policy: the ambitious next step. One Earth, 1(4): 423–433 https://doi.org/10.1016/j.oneear.2019.12.002
137	F Wang, J D Harindintwali, Z Yuan, M Wang, F Wang, S Li, Z Yin, L Huang, Y Fu, L Li. et al.. (2021a). Technologies and perspectives for achieving carbon neutrality. The Innovation, 2(4): 100180 https://doi.org/10.1016/j.xinn.2021.100180 pmid: 34877561
138	H Wang, B W Ang, B Su. (2017). A multi-region structural decomposition analysis of global CO2 emission intensity. Ecological Economics, 142: 163–176 https://doi.org/10.1016/j.ecolecon.2017.06.023
139	H Wang, G Wang, J Qi, H Schandl, Y Li, C Feng, X Yang, Y Wang, X Wang, S Liang. (2020). Scarcity-weighted fossil fuel footprint of China at the provincial level. Applied Energy, 258: 114081 https://doi.org/10.1016/j.apenergy.2019.114081
140	P Wang, S Zhao, T Dai, K Peng, Q Zhang, J Li, W Q Chen. (2022). Regional disparities in steel production and restrictions to progress on global decarbonization: a cross-national analysis. Renewable & Sustainable Energy Reviews, 161: 112367 https://doi.org/10.1016/j.rser.2022.112367
141	R Wang, J Zimmerman. (2016). Hybrid analysis of blue water consumption and water scarcity implications at the global, national, and basin levels in an increasingly globalized world. Environmental Science & Technology, 50(10): 5143–5153 https://doi.org/10.1021/acs.est.6b00571 pmid: 27101068
142	S Wang, B Fu, W Zhao, Y Liu, F Wei. (2018). Structure, function, and dynamic mechanisms of coupled human–natural systems. Current Opinion in Environmental Sustainability, 33: 87–91 https://doi.org/10.1016/j.cosust.2018.05.002
143	S Wang, J Song, G Li, Y Wu, L Zhang, Q Wan, D G Streets, C K Chin, J Hao. (2010). Estimating mercury emissions from a zinc smelter in relation to China’s mercury control policies. Environmental Pollution, 158(10): 3347–3353 https://doi.org/10.1016/j.envpol.2010.07.032 pmid: 20716469
144	Z Wang, L Lian, J Li, J He, H Ma, L Chen, X Mao, H Gao, J Ma, T Huang. (2021b). The atmospheric lead emission, deposition, and environmental inequality driven by interprovincial trade in China. Science of the Total Environment, 797: 149113 https://doi.org/10.1016/j.scitotenv.2021.149113 pmid: 34303976
145	L Wei, C Li, J Wang, X Wang, Z Wang, C Cui, S Peng, Y Liu, S Yu, L Wang, Z Shi. (2020). Rising middle and rich classes drove China’s carbon emissions. Resources, Conservation and Recycling, 159: 104839 https://doi.org/10.1016/j.resconrec.2020.104839
146	Y Wei, K Chen, J Kang, W Chen, X Wang, X Zhang. (2022). Policy and management of carbon peaking and carbon neutrality: a literature review. Engineering, 14(7): 52–63 https://doi.org/10.1016/j.eng.2021.12.018
147	P C West, J S Gerber, P M Engstrom, N D Mueller, K A Brauman, K M Carlson, E S Cassidy, M Johnston, G K MacDonald, D K Ray, S Siebert. (2014). Leverage points for improving global food security and the environment. Science, 345(6194): 325–328 https://doi.org/10.1126/science.1246067 pmid: 25035492
148	T Wiedmann, M Lenzen. (2018). Environmental and social footprints of international trade. Nature Geoscience, 11(5): 314–321 https://doi.org/10.1038/s41561-018-0113-9
149	H C Wilting, A M Schipper, M Bakkenes, J R Meijer, M A Huijbregts. (2017). Quantifying biodiversity losses due to human consumption: a global-scale footprint analysis. Environmental Science & Technology, 51(6): 3298–3306 https://doi.org/10.1021/acs.est.6b05296 pmid: 28072521
150	M J Wolf, D C Esty, H Kim, M L Bell, S Brigham, Q Nortonsmith, S Zaharieva, Z A Wendling, A de Sherbinin, J W Emerson. (2022). New insights for tracking global and local trends in exposure to air pollutants. Environmental Science & Technology, 56(7): 3984–3996 https://doi.org/10.1021/acs.est.1c08080 pmid: 35255208
151	Q Wu, S Wang, K Liu, G Li, J Hao. (2018). Emission-limit-oriented strategy to control atmospheric mercury emissions in coal-fired power plants toward the implementation of the minamata convention. Environmental Science & Technology, 52(19): 11087–11093 https://doi.org/10.1021/acs.est.8b02250 pmid: 30193461
152	T Wu, B Qin, J D Brookes, W Yan, X Ji, J Feng (2019). Spatial distribution of sediment nitrogen and phosphorus in Lake Taihu from a hydrodynamics-induced transport perspective. Science of the Total Environment, 650(Pt 1): 1554–1565
153	Y Wu, S Wang, D G Streets, J Hao, M Chan, J Jiang. (2006). Trends in anthropogenic mercury emissions in China from 1995 to 2003. Environmental Science & Technology, 40(17): 5312–5318 https://doi.org/10.1021/es060406x pmid: 16999104
154	J Xue, X Ji, L Zhao, Y Yang, Y Xie, D Li, C Wang, W Sun. (2019). Cooperative econometric model for regional air pollution control with the additional goal of promoting employment. Journal of Cleaner Production, 237: 117814 https://doi.org/10.1016/j.jclepro.2019.117814
155	Yang H, Huang X J, Hu J L, Thompson J R, Flower R J (2022). Achievements, challenges and global implications of China’s carbon neutral pledge. Frontiers of Environmental Science & Engineering, 16(8): 111
156	X Yang, F Teng. (2018). Air quality benefit of China’s mitigation target to peak its emission by 2030. Climate Policy, 18(1): 99–110 https://doi.org/10.1080/14693062.2016.1244762
157	Y Yang, S Qu, B Cai, S Liang, Z Wang, J Wang, M Xu. (2020). Mapping global carbon footprint in China. Nature Communications, 11(1): 2237 https://doi.org/10.1038/s41467-020-15883-9 pmid: 32382018
158	C Zhang, L Zhong, J Wang. (2018a). Decoupling between water use and thermoelectric power generation growth in China. Nature Energy, 3(9): 792–799 https://doi.org/10.1038/s41560-018-0236-7
159	L Zhang, S Wang, Y Meng, J Hao. (2012). Influence of mercury and chlorine content of coal on mercury emissions from coal-fired power plants in China. Environmental Science & Technology, 46(11): 6385–6392 https://doi.org/10.1021/es300286n pmid: 22533359
160	Q Zhang, X Jiang, D Tong, S J Davis, H Zhao, G Geng, T Feng, B Zheng, Z Lu, D G Streets. et al.. (2017). Transboundary health impacts of transported global air pollution and international trade. Nature, 543(7647): 705–709 https://doi.org/10.1038/nature21712 pmid: 28358094
161	Q Zhang, Y X Zheng, D Tong, M Shao, S X Wang, Y H Zhang, X D Xu, J N Wang, H He, W Q Liu. et al.. (2019a). Drivers of improved PM2.5 air quality in China from 2013 to 2017. Proceedings of the National Academy of Sciences of the United States of America, 116(49): 24463–24469 https://doi.org/10.1073/pnas.1907956116
162	R Zhang, T Hanaoka. (2022a). Cross-cutting scenarios and strategies for designing decarbonization pathways in the transport sector toward carbon neutrality. Nature Communications, 13(1): 3629 https://doi.org/10.1038/s41467-022-31354-9 pmid: 35750686
163	S Zhang, W Chen. (2022b). Assessing the energy transition in China towards carbon neutrality with a probabilistic framework. Nature Communications, 13(1): 87 https://doi.org/10.1038/s41467-021-27671-0 pmid: 35013253
164	S Zhang, Y Tian, H Guo, R Liu, N He, Z Li, W Zhao. (2022c). Study on the occurrence of typical heavy metals in drinking water and corrosion scales in a large community in northern China. Chemosphere, 290: 133145 https://doi.org/10.1016/j.chemosphere.2021.133145 pmid: 34921856
165	Y Zhang, D J Jacob, H M Horowitz, L Chen, H M Amos, D P Krabbenhoft, F Slemr, V L St Louis, E M Sunderland. (2016). Observed decrease in atmospheric mercury explained by global decline in anthropogenic emissions. Proceedings of the National Academy of Sciences of the United States of America, 113(3): 526–531 https://doi.org/10.1073/pnas.1516312113 pmid: 26729866
166	Y Zhang, Z Song, S Huang, P Zhang, Y Peng, P Wu, J Gu, S Dutkiewicz, H Zhang, S Wu. et al.. (2021). Global health effects of future atmospheric mercury emissions. Nature Communications, 12(1): 3035 https://doi.org/10.1038/s41467-021-23391-7 pmid: 34031414
167	Z Zhang, Y Hao, Z N Lu. (2018b). Does environmental pollution affect labor supply? An empirical analysis based on 112 cities in China. Journal of Cleaner Production, 190: 378–387 https://doi.org/10.1016/j.jclepro.2018.04.093
168	Z Zhang, C Shao, Y Guan, C Xue. (2019b). Socioeconomic factors and regional differences of PM2.5 health risks in China. Journal of Environmental Management, 251: 109564 https://doi.org/10.1016/j.jenvman.2019.109564 pmid: 31557670
169	C Zhao, B Chen. (2014). Driving force analysis of the agricultural water footprint in China based on the LMDI method. Environmental Science & Technology, 48(21): 12723–12731 https://doi.org/10.1021/es503513z pmid: 25289879
170	H Zhao, J F Chang, P Havlik, M Van Dijk, H Valin, C Janssens, L Ma, Z H Bai, M Herrero, P Smith, M Obersteiner. (2021). China’s future food demand and its implications for trade and environment. Nature Sustainability, 4(12): 1042–1051 https://doi.org/10.1038/s41893-021-00784-6
171	R Zhao, Y Liu, M Tian, M Ding, L Cao, Z Zhang, X Chuai, L Xiao, L Yao. (2018). Impacts of water and land resources exploitation on agricultural carbon emissions: The water-land-energy-carbon nexus. Land Use Policy, 72: 480–492 https://doi.org/10.1016/j.landusepol.2017.12.029
172	W Zhen, Q Qin, Y Kuang, N Huang. (2017). Investigating low-carbon crop production in Guangdong Province, China (1993–2013): a decoupling and decomposition analysis. Journal of Cleaner Production, 146: 63–70 https://doi.org/10.1016/j.jclepro.2016.05.022
173	H Zheng, Y Long, R Wood, D Moran, Z Zhang, J Meng, S Feng, E Hertwich, D Guan. (2022). Ageing society in developed countries challenges carbon mitigation. Nature Climate Change, 12(3): 241–248 https://doi.org/10.1038/s41558-022-01302-y
174	Q Zhong, H Li, S Liang, X Jetashree, J Wu, S Qi. (2022). Changes of production and consumption structures in coastal regions lead to mercury emission control in China. Journal of Industrial Ecology, 1–11 https://doi.org/10.1111/jiec.13314
175	X Zhu, R Lane, T T Werner. (2017). Modelling in-use stocks and spatial distributions of household electronic devices and their contained metals based on household survey data. Resources, Conservation and Recycling, 120: 27–37 https://doi.org/10.1016/j.resconrec.2017.01.002

[1]	Jian Li, Zhen Wang, Bao Jiang. Managing economic and social profit of cooperative models in three-echelon reverse supply chain for waste electrical and electronic equipment[J]. Front. Environ. Sci. Eng., 2017, 11(5): 12-.
[2]	Pingjian YANG,Feifei DONG,Yong LIU,Rui ZOU,Xing CHEN,Huaicheng GUO. A refined risk explicit interval linear programming approach for optimal watershed load reduction with objective-constraint uncertainty tradeoff analysis[J]. Front. Environ. Sci. Eng., 2016, 10(1): 129-140.
[3]	Feng WANG,Beibei LIU,Bing ZHANG,Jun BI. Fuel type preference of taxi driver and its implications for air emissions[J]. Front. Environ. Sci. Eng., 2015, 9(4): 702-711.
[4]	Zhaoyang LIU, Xianqiang MAO, Wei TANG, Tao HU, Peng SONG. An assessment of China-Japan-Korea Free Trade Agreement’s economic and environmental impacts on China[J]. Front Envir Sci Eng, 2012, 6(6): 849-859.

Viewed

Full text

Abstract

Cited

Shared

Discussed