Regional Sustainability ›› 2022, Vol. 3 ›› Issue (1): 12-26.doi: 10.1016/j.regsus.2022.03.003cstr: 32279.14.j.regsus.2022.03.003
• Full Length Article • Previous Articles Next Articles
LIU Haimenga,b, LIU Huamingc, CHENG Yia,b,*()
Received:
2022-02-24
Revised:
2022-03-20
Accepted:
2022-03-25
Published:
2022-04-04
Online:
2022-05-13
Contact:
CHENG Yi
E-mail:chengy.14s@igsnrr.ac.cn
LIU Haimeng, LIU Huaming, CHENG Yi. Illustrating the multi-stakeholder perceptions of environmental pollution based on big data: Lessons from China[J]. Regional Sustainability, 2022, 3(1): 12-26.
Fig. 3.
Spatial differences in the perceptions of multi-stakeholders with respect to environmental pollution. Note that the above maps are based on the standard map (No. GS (2019) 1823) marked by the Ministry of Natural Resources of the People’s Republic of China, and the base map has not been modified. Taiwan of China, Hong Kong of China, and Macao of China are not included in the scope of research area due to a lack of data."
Fig. 7.
Comparison between the level of actual air pollution (PM2.5) and the level of attention of multi-stakeholder perceptions to air pollution at the regional scale. The regions included 31 provinces, autonomous regions, and municipalities in China, with exceptions of Taiwan of China, Hong Kong of China, and Macao of China due to a lack of data."
Fig. 8.
Comparison between the level of actual water pollution and the leve of attention of multi-stakeholder perceptions to water pollution at the regional scale. The regions included 31 provinces, autonomous regions, and municipalities in China, with exceptions of Taiwan of China, Hong Kong of China, and Macao of China due to a lack of data."
Fig. 9.
Comparison between the level of actual soil pollution and the level of attention of multi-stakeholder perceptions to soil pollution at the regional scale. The regions included 31 provinces, autonomous regions, and municipalities in China, with exceptions of Taiwan of China, Hong Kong of China, and Macao of China due to a lack of data."
[1] |
Abbott B.W., Bishop K., Zarnetske J.P., et al., 2019. Human domination of the global water cycle absent from depictions and perceptions. Nat. Geosci. 12(7), 533-540.
doi: 10.1038/s41561-019-0374-y |
[2] |
Akinyi D.P., Ng’ang’a S.K., Girvetz E.H., 2021. Trade-offs and synergies of climate change adaptation strategies among smallholder farmers in sub-Saharan Africa: a systematic review. Regional Sustainability. 2(2), 130-143.
doi: 10.1016/j.regsus.2021.05.002 |
[3] | Amedeo D.M., Golledge R.G., 2004. Environmental perception and behavioral geography. In: Gary, L.G., Cort, J.W.(eds.). Geography in America at the Dawn of the 21st Century. Oxford: Oxford Scholarship Online, 133-148. |
[4] |
Anderson B.A., Romani J.H., Phillips H., et al., 2007. Exploring environmental perceptions, behaviors and awareness: water and water pollution in South Africa. Popul. Env. 28(3), 133-161.
doi: 10.1007/s11111-007-0038-5 |
[5] |
Baird J., Schultz L., Plummer R., et al., 2019. Emergence of collaborative environmental governance: what are the causal mechanisms? Environ. Manage. 63(1), 16-31.
doi: 10.1007/s00267-018-1105-7 |
[6] |
Bickerstaff K., Walker G., 2001. Public understandings of air pollution: the ‘localisation’of environmental risk. Glob. Environ. Change. 11(2), 133-145.
doi: 10.1016/S0959-3780(00)00063-7 |
[7] |
Bodin Ö., 2017. Collaborative environmental governance: achieving collective action in social-ecological systems. Science. 357(6352), doi: 10.1126/science.aan1114.
doi: 10.1126/science.aan1114 |
[8] |
Burki M.A.K., Burki U., Najam U., 2021. Environmental degradation and poverty: a bibliometric review. Regional Sustainability. 2(4), 324-336.
doi: 10.1016/j.regsus.2022.01.001 |
[9] | China Internet Network Information Center. 2021. The 48th Statistical Report on China’s Internet Development. [2022-02-10]. http://www.cnnic.cn/hlwfzyj/hlwxzbg/. |
[10] |
Chen R.S., de Sherbinin A., Ye C., et al., 2014. China’s soil pollution: farms on the frontline. Science. 344(6185), 691, doi: 10.1126/science.344.6185.691-a.
doi: 10.1126/science.344.6185.691-a |
[11] |
Chen Y.X., Zhang J., Tadikamalla P.R., et al., 2019. The relationship among government, enterprise, and public in environmental governance from the perspective of multi-Player evolutionary game. Int. J. Environ. Res. Public Health. 16(18), 3351, doi: 10.3390/ijerph16183351.
doi: 10.3390/ijerph16183351 |
[12] |
Cheng Y., Liu H.M., Wang S.B., et al., 2021. Global action on SDGs: policy review and outlook in a post-pandemic era. Sustainability. 13(11), 6461, doi: 10.3390/su13116461.
doi: 10.3390/su13116461 |
[13] |
Chhipi-Shrestha G., Rodriguez M., Sadiq R., 2019. Selection of sustainable municipal water reuse applications by multi-stakeholders using game theory. Sci. Total Environ. 650, 2512-2526.
doi: 10.1016/j.scitotenv.2018.09.359 |
[14] |
Cong X.H., Ma L., Wang L., et al., 2021. The early warning system for determining the “not in My Back Yard” of heavy pollution projects based on public perception. J. Clean Prod. 282, 125398, doi: 10.1016/j.jclepro.2020.125398.
doi: 10.1016/j.jclepro.2020.125398 |
[15] | Deckers L., 2018. Motivation:Biological, Psychological, and Environmental (5th ed.). New York:Routledge, 13-14. |
[16] | Delang C.O., 2017. Causes and distribution of soil pollution in China. Environ. Socio-Econ. Stud. 5(4), 1-17. |
[17] |
Du J.L., Liu Y., Forrest J.Y.L., 2019a. An interactive group decision model for selecting treatment schemes for mitigating air pollution. Environ. Sci. Pollut. Res. 26(4), 1-12.
doi: 10.1007/s11356-018-3003-1 |
[18] |
Du Y., Wang X.Y., Zhang L.L., et al., 2019b. Multi-stakeholders’ preference for best management practices based on environmental awareness. J. Clean Prod. 236, 117682, doi: 10.1016/j.jclepro.2019.117682.
doi: 10.1016/j.jclepro.2019.117682 |
[19] | Eysenck M.W., Keane M.T., 2020. Cognitive Psychology:A Student’s Handbook (8th ed.). London: Psychology Press, 147-148. |
[20] |
Fang C.L., Liu H.M., Li G.D., et al., 2015. Estimating the impact of urbanization on air quality in China using spatial regression models. Sustainability. 7(11), 15570-15592.
doi: 10.3390/su71115570 |
[21] |
Fang C.L., Liu H.M., Li G.D., 2016. International progress and evaluation on interactive coupling effects between urbanization and the eco-environment. J. Geogr. Sci. 26(8), 1081-1116.
doi: 10.1007/s11442-016-1317-9 |
[22] |
Fang C.L., Cui X.G., Li G.D., et al., 2019. Modeling regional sustainable development scenarios using the urbanization and eco-environment coupler: case study of Beijing-Tianjin-Hebei urban agglomeration, China. Sci. Total Environ. 689, 820-830.
doi: 10.1016/j.scitotenv.2019.06.430 |
[23] |
Fang C.L., Liu H.M., Wang S.J., 2021. The coupling curve between urbanization and the eco-environment: China’s urban agglomeration as a case study. Ecol. Indic. 130, 108107, doi: 10.1016/j.ecolind.2021.108107.
doi: 10.1016/j.ecolind.2021.108107 |
[24] |
Gao S., Li W.M., Ling S., et al., 2019. An empirical study on the influence path of environmental risk perception on behavioral responses in China. Int. J. Environ. Res. Public Health. 16(16), 2856, doi: 10.3390/ijerph16162856.
doi: 10.3390/ijerph16162856 |
[25] |
Ghorbani Mooselu M., Nikoo M.R., Sadegh M., 2019. A fuzzy multi-stakeholder socio-optimal model for water and waste load allocation. Environ. Monit. Assess. 191(6), 359, doi: 10.1007/s10661-019-7504-2.
doi: 10.1007/s10661-019-7504-2 pmid: 31073749 |
[26] |
Guagnano G.A., Stern P.C., Dietz T., 1995. Influences on attitude-behavior relationships: a natural experiment with curbside recycling. Environ. Behav. 27(5), 699-718.
doi: 10.1177/0013916595275005 |
[27] |
Guo H.D., Nativi S., Liang D., et al., 2020. Big earth data science: an information framework for a sustainable planet. Int. J. Digit. Earth. 13(4), 1-25.
doi: 10.1080/17538947.2019.1700631 |
[28] |
Hardin G., 1968. The tragedy of the commons: the population problem has no technical solution; it requires a fundamental extension in morality. Science. 162(3859), 1243-1248.
pmid: 5699198 |
[29] |
Hardin G., 1998. Extensions of “the tragedy of the commons”. Science. 280(5364), 682-683.
doi: 10.1126/science.280.5364.682 |
[30] |
Heikkila T., Villamayor-Tomas S., Garrick D., 2018. Bringing polycentric systems into focus for environmental governance. Environ. Policy Gov. 28(4), 207-211.
doi: 10.1002/eet.1809 |
[31] | Henriques I., Sadorsky P., 1999. The relationship between environmental commitment and managerial perceptions of stakeholder importance. Acad. Manage. J. 41(1), 89-99. |
[32] |
Hou C.X., Zhang M.M., Wang M.M., et al., 2021a. Factors influencing grazing behavior by using the consciousness-context-behavior theory-a case study from Yanchi County, China. Land. 10(11), 1157, doi: 10.3390/land10111157.
doi: 10.3390/land10111157 |
[33] |
Hou C.X., Wen Y., He Y.Q., et al., 2021b. Public stereotypes of recycled water end uses with different human contact: evidence from event-related potential (ERP). Resour. Conserv. Recycl. 168, 105464, doi: 10.1016/j.resconrec.2021.105464.
doi: 10.1016/j.resconrec.2021.105464 |
[34] |
Huang J.L., Yang Z.J., 2018. Risk, affect, and policy support: public perception of air pollution in China. Asian J. Commun. 28(3), 281-297.
doi: 10.1080/01292986.2017.1386220 |
[35] |
Huang Q., 2018. Public trust in local governments and environmental risks in China: the effects of media use, perceived dread, and perceived inequality. Chin. J. Commun. 11(1), 88-104.
doi: 10.1080/17544750.2017.1328452 |
[36] | IHME(Institute for Health Metrics and Evaluation), 2021. Global Burden of Disease Study 2019 (GBD 2019). [2022-02-10]. http://ghdx.healthdata.org/gbd-results-tool. |
[37] |
Islam M.S., Rana M.M.P., Ahmed R., 2014. Environmental perception during rapid population growth and urbanization: a case study of Dhaka city. Environ. Dev. Sustain. 16(2), 443-453.
doi: 10.1007/s10668-013-9486-5 |
[38] |
Jordan A.J., Huitema D., Hildén M., et al., 2015. Emergence of polycentric climate governance and its future prospects. Nat. Clim. Chang. 5(11), 977-982.
doi: 10.1038/nclimate2725 |
[39] |
Liu J.G., Dietz T., Carpenter S.R., et al., 2007. Coupled human and natural systems. Ambio. 36(8), 639-649.
doi: 10.1579/0044-7447(2007)36[639:CHANS]2.0.CO;2 |
[40] |
Liu H.M., Fang C.L., Fang K., 2020a. Coupled human and natural cube: a novel framework for analyzing the multiple interactions between humans and nature. J. Geogr. Sci. 30, 355-377.
doi: 10.1007/s11442-020-1732-9 |
[41] |
Liu H.M., Fang C.L., Gao Q., 2020b. Evaluating the real-time impact of COVID-19 on cities: China as a case study. Complexity. 2020, 8855521, doi: 10.1155/2020/8855521.
doi: 10.1155/2020/8855521 |
[42] |
Liu H.M., Cui W.J., Zhang M., 2022a. Exploring the causal relationship between urbanization and air pollution: evidence from China. Sust. Cities Soc. 80, 103783, doi: 10.1016/j.scs.2022.103783.
doi: 10.1016/j.scs.2022.103783 |
[43] |
Liu H.M., Liu J., Li M.C., et al., 2022b. Assessing the evolution of PM2.5 and related health impacts resulting from air quality policies in China. Environ. Impact Assess. Rev. 93, 106727, doi: 10.1016/j.eiar.2021.106727.
doi: 10.1016/j.eiar.2021.106727 |
[44] |
Lu Y.L., Song S., Wang R.S., et al., 2015. Impacts of soil and water pollution on food safety and health risks in China. Environ. Int. 77, 5-15.
doi: 10.1016/j.envint.2014.12.010 |
[45] |
Maione M., Mocca E., Eisfeld K., et al., 2021. Public perception of air pollution sources across Europe. Ambio. 50(6), 1150-1158.
doi: 10.1007/s13280-020-01450-5 |
[46] |
Martin M.A., Sendra O.A., Bastos A., et al., 2021. Ten new insights in climate science 2021: a horizon scan. Global Sustainability. 4, E25, doi: 10.1017/sus.2021.25.
doi: 10.1017/sus.2021.25 |
[47] | Mayer-Schönberger V., Cukier K., 2013. Big Data:A Revolution that will Transform How We Live, Work, and Think. Boston: Eamon Dolan/Houghton Mifflin Harcourt, 53-75. |
[48] | McBride D.M., Cutting J.C., 2017. Cognitive Psychology: Theory, Process, and Methodology. London: SAGE Publications, 45-63. |
[49] | Morrison T.H., 2017. Evolving polycentric governance of the Great Barrier Reef. Proc. Natl. Acad. Sci. U. S. A. 114(15), E3013-E3021. |
[50] | National Bureau of Statistics, 2018-2021a. China Statistical Yearbook. Beijing: China Statistics Press. (in Chinese) |
[51] | National Bureau of Statistics, 2018-2021b. China Rural Statistical Yearbook. Beijing: China Statistics Press. (in Chinese) |
[52] | Neumayer E., 2003. Weak Versus Strong Sustainability:Exploring the Limits of Two Opposing Paradigms. Cheltenham: Edward Elgar Publishing, 25-29. |
[53] |
Newell P., Pattberg P., Schroeder H., 2012. Multiactor governance and the environment. Annu. Rev. Environ. Resour. 37(1), 365-387.
doi: 10.1146/annurev-environ-020911-094659 |
[54] |
Oberlack C., Boillat S., Brönnimann S., et al., 2018. Polycentric governance in telecoupled resource systems. Ecol. Soc. 23(1), 16, doi: 10.5751/ES-09902-230116.
doi: 10.5751/ES-09902-230116 |
[55] |
Ostrom E., 2010. Polycentric systems for coping with collective action and global environmental change. Glob. Environ. Change-Human Policy Dimens. 20(4), 550-557.
doi: 10.1016/j.gloenvcha.2010.07.004 |
[56] |
Pattberg P., Widerberg O., 2016. Transnational multistakeholder partnerships for sustainable development: conditions for success. Ambio. 45(1), 42-51.
doi: 10.1007/s13280-015-0684-2 |
[57] |
Pradhan P., Costa L., Rybski D., et al., 2017. A systematic study of Sustainable Development Goal (SDG) interactions. Earth’s Future. 5(11), 1169-1179.
doi: 10.1002/2017EF000632 |
[58] |
Rai V., Henry A.D., 2016. Agent-based modelling of consumer energy choices. Nat. Clim. Chang. 6(6), 556-562.
doi: 10.1038/nclimate2967 |
[59] |
Saarinen T.F., Sell J.L., 1980. Environmental perception. Prog. Hum. Geogr. 4(4), 525-548.
doi: 10.1177/030913258000400403 |
[60] | SDWF (Safe Drinking Water Foundation), 2017. Water and Human Health. [2022-02-10]. https://www.safewater.org/fact-sheets-1/2017/1/23/water-and-human-health. |
[61] | Soanes C., Stevenson A., 2004. Concise Oxford English Dictionary. Oxford: Oxford University Press. |
[62] | Steg L.E., van den Berg A.E., de Groot J.I., 2013. Environmental Psychology:An Introduction. In: Steg, L.E., van den Berg, A.E., de Groot, J.I.,(eds.). Oxford: BPS Blackwell, 13-45. |
[63] | Tuan Y.F., 1990. Topophilia:A Study of Environmental Perception, Attitudes, and Values. Columbia: Columbia University Press, 1-24. |
[64] | Wang A., Cheng L.F., 2020. Social representations in media communication and their effects on the public environmental cognition:based on a case study of air pollution in China. In: Eighth International Conference on Technological Ecosystems for Enhancing Multiculturality. New York: Association for Computing Machinery, 991-996. |
[65] |
Wang B., Loo B.P.Y., 2019. The hierarchy of cities in Internet news media and Internet search: some insights from China. Cities. 84, 121-133.
doi: 10.1016/j.cities.2018.07.013 |
[66] |
Wang J.S., Jia Y.H., 2021. Social media’s influence on air quality improvement: evidence from China. J. Clean Prod. 298, 126769, doi: 10.1016/j.jclepro.2021.126769.
doi: 10.1016/j.jclepro.2021.126769 |
[67] |
Wang S., Fu B.J., Zhao W.W., et al., 2018. Structure, function, and dynamic mechanisms of coupled human-natural systems. Curr. Opin. Environ. Sustain. 33, 87-91.
doi: 10.1016/j.cosust.2018.05.002 |
[68] |
Wang S.B., Tong Y., Fan Y.P., et al., 2021. Observing the silent world under COVID-19 with a comprehensive impact analysis based on human mobility. Sci. Rep. 11, 14691, doi: 10.1038/s41598-021-94060-4.
doi: 10.1038/s41598-021-94060-4 |
[69] |
Wu J.S., Guo S., Li J., et al., 2016. Big data meet green challenges: big data toward green applications. IEEE Syst. J. 10(3), 888-900.
doi: 10.1109/JSYST.2016.2550530 |
[70] |
Wu L.H., Ma T.S., Bian Y.C., et al., 2020. Improvement of regional environmental quality: government environmental governance and public participation. Sci. Total Environ. 717, 137265, doi: 10.1016/j.scitotenv.2020.137265.
doi: 10.1016/j.scitotenv.2020.137265 |
[71] | Xue J., Zhao L.J., Fan L.Z., et al., 2015. An interprovincial cooperative game model for air pollution control in China. J. Air Waste Manage. Assoc. 65(7), 818-827. |
[72] |
Ye X.Y., Du J.X., Gong X., et al., 2021. SparseTrajAnalytics: an interactive visual analytics system for sparse trajectory data. J. Geovis. Spat. Anal. 5(1), 3, doi: 10.1007/s41651-020-00068-1.
doi: 10.1007/s41651-020-00068-1 |
[73] | Yin J.F., Liu H.M., Shi P.J., et al., 2021. Exploring coupling relationship between urban connection and high-quality development using the case of Lanzhou-Xining urban agglomeration. Complexity. 2021, 1-12. |
[74] |
Zeng S.Y., Ma J., Yang Y.J., et al., 2019. Spatial assessment of farmland soil pollution and its potential human health risks in China. Sci. Total Environ. 687, 642-653.
doi: 10.1016/j.scitotenv.2019.05.291 |
[75] |
Zhang Q.C., Wang C.C., 2020. Natural and human factors affect the distribution of soil heavy metal pollution: a review. Water Air Soil Pollut. 231, 1-13.
doi: 10.1007/s11270-019-4368-6 |
[76] |
Zhang Z.Y., Yang X.M., Jia F., 2020. Game behavior among multi stakeholders in the process of haze control. IOP Conf. Ser. Earth Environ. Sci. 552(1), 012005, doi: 10.1088/1755-1315/552/1/012005.
doi: 10.1088/1755-1315/552/1/012005 |
[77] |
Zhou Z.F., Liu J.H., Zeng H.X., et al., 2020. How does soil pollution risk perception affect farmers’ pro-environmental behavior? The role of income level. J. Environ. Manage. 270, 110806, doi: 10.1016/j.jenvman.2020.110806.
doi: 10.1016/j.jenvman.2020.110806 |
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