Influence of Environmental Values on the Typhoon Risk Perceptions of High School Students: A Case Study in Ningbo, China
Abstract
:1. Introduction
2. Literature Review
2.1. Typhoon Risk Perception and Its Influencing Factors
2.2. Environmental Values and Its Influence on Risk Perception
3. Research Method
3.1. Hypotheses
3.2. Variable Measurement
3.3. Participants
3.4. Data Analysis Method
4. Results
4.1. Primary Analysis
4.2. Hypothesis Testing
5. Discussion
6. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- IPCC. Climate Change 2007: The Scientific Basis; Cambridge University Press: Cambridge, UK, 2007. [Google Scholar]
- EM-DAT. The International Disaster Database. 2020. Available online: http://www.emdat.be/database (accessed on 25 December 2020).
- Yin, J.; Yin, Z.; Xu, S. Composite risk assessment of typhoon-induced disaster for china’s coastal area. Nat. Hazards 2013, 69, 1423–1434. [Google Scholar] [CrossRef]
- People.cn. Strong Typhoon “Fitow” Hit Ningbo. 2014. Available online: http://nb.people.com.cn/BIG5/n/2013/1227/c206131-20251202.html (accessed on 20 March 2021).
- Ministry of Emergency Management of the People’s Republic of China. 2018. Available online: http://www.mem.gov.cn/xw/yjyw/201809/t20180916_229948.shtml (accessed on 5 April 2021).
- Jiang, L.P.; Yao, L.; Bond, E.F.; Wang, Y.L.; Huang, L.Q. Risk perceptions and preparedness of typhoon disaster on coastal inhabitants in china. Am. J. Disaster Med. 2011, 6, 119–126. [Google Scholar] [CrossRef]
- Kalkstein, A.J.; Sheridan, S.C. The social impacts of the heat–health watch/warning system in Phoenix, Arizona: Assessing the perceived risk and response of the public. Int. J. Biometeorol. 2007, 52, 43–55. [Google Scholar] [CrossRef]
- Miceli, R.; Sotgiu, I.; Settanni, M. Disaster preparedness and perception of flood risk: A study in an alpine valley in Italy. J. Environ. Psychol. 2008, 28, 164–173. [Google Scholar] [CrossRef]
- David, C.C.; Monterola, S.L.C.; Paguirigan, A., Jr.; Legara, E.F.T.; Tarun, A.B.; Batac, R.C.; Osorio, J.P. School hazard vulnerability and student learning. Int. J. Educ. Res. 2018, 92, 20–29. [Google Scholar] [CrossRef]
- Tuladhar, G.; Yatabe, R.; Dahal, R.K.; Bhandary, N.P. Knowledge of disaster risk reduction among school students in Nepal. Geomat. Nat. Hazards Risk 2014, 5, 190–207. [Google Scholar] [CrossRef] [Green Version]
- Tang, T.C.; Yen, C.F.; Cheng, C.P.; Yang, P.; Chen, C.S.; Yang, R.C.; Huang, M.S.; Jong, Y.J.; Yu, H.S. Suicide risk and its correlate in adolescents who experienced typhoon-induced mudslides: A structural equation model. Depress. Anxiety 2010, 27, 1143–1148. [Google Scholar] [CrossRef]
- Goenjian, A.K.; Molina, L.; Steinberg, A.M.; Fairbanks, L.A.; Alvarez, M.L.; Goenjian, H.A.; Pynoos, R.S. Posttraumatic stress and depressive reactions among Nicaraguan adolescents after hurricane mitch. Am. J. Psychiatry 2001, 158, 788–794. [Google Scholar] [CrossRef]
- Yang, P.; Yen, C.F.; Tang, T.C.; Chen, C.S.; Yu, H.S. Posttraumatic stress disorder in adolescents after typhoon Morakot-associated mudslides. J. Anxiety Disord. 2011, 25, 362–368. [Google Scholar] [CrossRef]
- Mutarak, R.; Lutz, W. Is education a key to reducing vulnerability to natural disasters and hence unavoidable climate change? Ecol. Soc. 2014, 19, 42. [Google Scholar] [CrossRef] [Green Version]
- Wu, W.; Zheng, J.; Fang, Q. How a typhoon event transforms public risk perception of climate change: A study in china. J. Clean. Prod. 2020, 261, 121163. [Google Scholar] [CrossRef]
- Uy, N.; Takeuchi, Y.; Shaw, R. Local adaptation for livelihood resilience in Albay, Philippines. Environ. Hazards 2011, 10, 139–153. [Google Scholar] [CrossRef]
- Bandecchi, A.E.; Pazzi, V.; Morelli, S.; Valori, L.; Casagli, N. Geo-hydrological and seismic risk awareness at school: Emergency preparedness and risk perception evaluation. Int. J. Disaster Risk Reduct. 2019, 40, 101280. [Google Scholar] [CrossRef]
- Zhang, W.; Wang, W.; Lin, J.; Zhang, Y.; Shang, X.; Wang, X.; Huang, M.; Liu, S.; Ma, W. Perception, knowledge and behaviors related to typhoon: A cross sectional study among rural residents in Zhejiang, China. Int. J. Environ. Res. Public Health 2017, 14, 492. [Google Scholar] [CrossRef] [Green Version]
- Shen, Y.; Lou, S.; Zhao, X.; Ip, K.P.; Xu, H.; Zhang, J. Factors impacting risk perception under typhoon disaster in Macao SAR, China. Int. J. Environ. Res. Public Health 2020, 17, 7357. [Google Scholar] [CrossRef] [PubMed]
- Costas, S.; Ferreira, O.; Martinez, G. Why do we decide to live with risk at the coast? Ocean Coast. Manag. 2015, 118, 1–11. [Google Scholar] [CrossRef]
- Shao, W.; Gardezi, M.; Xian, S. Examining the effects of objective hurricane risks and community resilience on risk perceptions of hurricanes at the county level in the US Gulf Coast: An innovative approach. Ann. Am. Assoc. Geogr. 2018, 108, 1389–1405. [Google Scholar] [CrossRef] [Green Version]
- Wachinger, G.; Renn, O.; Begg, C.; Kuhlicke, C. The risk perception paradox-implications for governance and communication of natural hazards. Risk Anal. 2013, 33, 1049–1065. [Google Scholar] [CrossRef] [PubMed]
- Basolo, V.; Steinberg, L.J.; Gant, S. Hurricane threat in Florida: Examining household perceptions, beliefs, and actions. Environ. Hazards 2017, 16, 253–275. [Google Scholar] [CrossRef]
- Dietz, T. Environmental values. Handbook of value: Perspectives from economics, neuroscience, philosophy. Psychol. Sociol. 2015, 39, 330–351. [Google Scholar]
- Stern, P.C.; Dietz, T.; Abel, T.; Guagnano, G.A.; Kalof, L. Avalue belief norm theory of support for social movements: The case of environmental concern. Hum. Ecol. Rev. 1999, 6, 1–97. [Google Scholar]
- Corraliza, J.A.; Berenguer, J. Environmental values, beliefs, and actions: A situational approach. Environ. Behav. 2000, 32, 832–848. [Google Scholar] [CrossRef]
- Dutcher, D.D.; Finley, J.C.; Luloff, A.E.; Johnson, J.B. Connectivity with nature as a measure of environmental values. Environ. Behav. 2007, 39, 474–493. [Google Scholar] [CrossRef]
- Willis, H.H.; DeKay, M.L. The roles of group membership, beliefs, and norms in ecological risk perception. Risk Anal. 2007, 27, 1365–1380. [Google Scholar] [CrossRef]
- Leiserowitz, A. Climate change risk perception and policy preferences: The role of affect, imagery, and values. Clim. Chang. 2006, 77, 45–72. [Google Scholar] [CrossRef] [Green Version]
- Tsuboki, K.; Yoshioka, M.K.; Shinoda, T.; Kato, M.; Kitoh, A. Future increase of supertyphoon intensity associated with climate change: Increase of super-typhoon intensity. Geophys. Res. Lett. 2014, 42, 646–652. [Google Scholar] [CrossRef]
- Slovic, P. Perception of risk. Science 1987, 236, 280. [Google Scholar] [CrossRef] [PubMed]
- Slovic, P. Perceived risk, trust, and democracy. Risk Anal. 1993, 13, 675–682. [Google Scholar] [CrossRef] [Green Version]
- Lieske, D.J.; Wade, T.; Roness, L.A. Climate change awareness and strategies for communicating the risk of coastal flooding: A canadian maritime case example. Estuar. Coast. Shelf Sci. 2014, 140, 83–94. [Google Scholar] [CrossRef]
- Stedman, R.C. Toward a social psychology of place: Predicting behavior from place-based cognitions, attitude and identity. Environ. Behav. 2002, 34, 561–581. [Google Scholar] [CrossRef]
- Renn, O.; Rohrmann, B. (Eds.) Cross-Cultural Risk Perception: A Survey of Empirical Studies; Springer Science & Business Media: Berlin/Heidelberg, Germany, 2000; Volume 13. [Google Scholar]
- Kasperson, R.E.; Renn, O.; Slovic, P.; Brown, H.S.; Emel, J.; Goble, R.; Kasperson, J.X.; Ratick, S. The social amplification of risk: A conceptual framework. Risk Anal. 1988, 8, 177–187. [Google Scholar] [CrossRef] [Green Version]
- Peacock, W.G.; Brody, S.D.; Highfield, W. Hurricane risk perceptions among Florida’s single family homeowners. Landsc. Urban Plan. 2005, 73, 120–135. [Google Scholar] [CrossRef]
- Sun, Y.; Han, Z. Climate change risk perception in Taiwan: Correlation with individual and societal factors. Int. J. Environ. Res. Public Health 2018, 15, 91. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Demuth, J.L.; Morss, R.E.; Lazo, J.K.; Trumbo, C. The effects of past hurricane experiences on evacuation intentions through risk perception and efficacy beliefs: A mediation analysis. Weather Clim. Soc. 2016, 8, 327–344. [Google Scholar] [CrossRef]
- Lujala, P.; Lein, H.; Rød, J.K. Climate change, natural hazards, and risk perception: The role of proximity and personal experience. Local Environ. 2014, 20, 489–509. [Google Scholar] [CrossRef] [Green Version]
- Matyas, C.; Srinivasan, S.; Cahyanto, I.; Thapa, B.; Pennington-Gray, L.; Villegas, J. Risk perception and evacuation decisions of florida tourists under hurricane threats: A stated preference analysis. Nat. Hazards 2011, 59, 871–890. [Google Scholar] [CrossRef]
- Stein, R.; Buzcu-Guven, B.; Duefias-Osorio, L.; Subramanian, D.; Kahle, D. How risk perceptions influence evacuations from hurricanes and compliance with government directives. Policy Stud. J. 2013, 41, 319–342. [Google Scholar] [CrossRef]
- Stern, P.C.; Dietz, T.; Guagnano, G.A. The new ecological paradigm in social-psychological context. Environ. Behav. 1995, 27, 723–743. [Google Scholar] [CrossRef]
- Whitfield, S.C.; Rosa, E.A.; Dan, A.; Dietz, T. The future of nuclear power: Value orientations and risk perception. Risk Anal. 2010, 29, 425–437. [Google Scholar] [CrossRef] [PubMed]
- Guerrier, Y.; Alexander, N.; Chase, J.; O’Brien, M. Values and the environment: A social science perspective. Organ. Behav. Hotels Restaur. Int. Perspect. 1995, 5, 279–282. [Google Scholar]
- Schwartz, S.H. Rethinking the concept and measurement of societal culture in light of empirical findings. J. Cross-Cult. Psychol. 2014, 45, 5–13. [Google Scholar] [CrossRef]
- Dunlap, R.E.; Van Liere, K.D. The “New Environmental Paradigm”: A proposed measuring instrument and preliminary results. J. Environ. Educ. 1978, 9, 10–19. [Google Scholar] [CrossRef]
- Albrecht, D.; Bultena, G.; Hoiberg, E.; Nowak, P. Measuring environmental concern: The new environmental paradigm scale. J. Environ. Educ. 2010, 13, 39–43. [Google Scholar] [CrossRef]
- Kim, H.; Borges, M.C.; Chon, J. Impacts of environmental values on tourism motivation: The case of Fica, Brazil. Tour. Manag. 2006, 27, 957–967. [Google Scholar] [CrossRef]
- Lalonde, R.; Jackson, E.L. The new environmental paradigm scale: Has it outlived its usefulness? J. Environ. Educ. 2002, 33, 28–36. [Google Scholar] [CrossRef]
- Liu, W.; Chen, J. Modified two major environmental values scale for measuring Chinese children’s environmental attitudes. Environ. Educ. Res. 2019, 26, 130–147. [Google Scholar] [CrossRef]
- Regmi, S.; Johnson, B.; Dahal, B.M. Analysing the environmental values and attitudes of rural Nepalese children by validating the 2-mev model. Sustainability 2019, 12, 164. [Google Scholar] [CrossRef] [Green Version]
- Stedman, R.C.; Davidson, D.J.; Wellstead, A. Risk and climate change: Perceptions of key policy actors in Canada. Risk Anal. 2004, 24, 1395–1406. [Google Scholar] [CrossRef]
- Sjöberg, L. Emotions and risk perception. Risk Manag. 2007, 9, 223–237. [Google Scholar] [CrossRef]
- Bourassa, M.; Doraty, K.; Berdahl, L.; Fried, J.; Bell, S. Support, opposition, emotion and contentious issue risk perception. Int. J. Public Sect. Manag. 2016, 29, 201–216. [Google Scholar] [CrossRef]
- Niemeijer, D.; Groot, R.S.D. Framing environmental indicators: Moving from causal chains to causal networks. Environ. Dev. Sustain. 2008, 10, 89–106. [Google Scholar] [CrossRef]
- Carlton, S.J.; Jacobson, S.K. Climate change and coastal environmental risk perceptions in Florida. J. Environ. Manag. 2013, 130, 32–39. [Google Scholar] [CrossRef]
- Erdozain, M.S.; Allen, K.J.; Morley, K.A.; Powell, D.A. Failures in sprouts-related risk communication. Food Control 2013, 30, 649–656. [Google Scholar] [CrossRef] [Green Version]
- Ross, V.L.; Fielding, K.S.; Louis, W.R. Social trust, risk perceptions and public acceptance of recycled water: Testing a social-psychological model. J. Environ. Manag. 2014, 137, 61–68. [Google Scholar] [CrossRef] [PubMed]
- Acosta, L.A.; Eugenio, E.A.; Macandog, P.B.M.; Magcale-Macandog, D.B.; Lin, E.K.H.; Abucay, E.R.; Cura, A.L.; Primavera, M.G. Loss and damage from typhoon-induced floods and landslides in the Philippines: Community perceptions on climate impacts and adaptation options. Int. J. Glob. Warm. 2016, 9, 33–65. [Google Scholar] [CrossRef]
- Wang, G.; Chen, R.; Chen, J. Direct and indirect economic loss assessment of typhoon disasters based on ec and io joint model. Nat. Hazards 2017, 87, 1751–1764. [Google Scholar] [CrossRef]
- Bouwer, L.M. Have disaster losses increased due to anthropogenic climate change? Bull. Am. Meteorol. Soc. 2011, 92, 39–46. [Google Scholar] [CrossRef] [Green Version]
- Dalisay, S.N.; De Guzman, M.T. Risk and culture: The case of typhoon Haiyan in the Philippines. Disaster Prev. Manag. Int. J. 2016, 25, 701–714. [Google Scholar] [CrossRef]
- Lei, Y.; Liu, C.; Zhang, L.; Wan, J.; Li, D.; Yue, Q.; Guo, Y. Adaptive governance to typhoon disasters for coastal sustainability: A case study in Guangdong, China. Environ. Sci. Policy 2015, 54, 281–286. [Google Scholar] [CrossRef]
- Blanco, D.V. Disaster governance in the Philippines: Issues, lessons learned, and future directions in the post-Yolanda super typhoon aftermath. Int. J. Public Adm. 2015, 38, 743–756. [Google Scholar] [CrossRef]
- Fan, M.F. Disaster governance and community resilience: Reflections on typhoon Morakot in Taiwan. J. Environ. Plan. Manag. 2015, 58, 24–38. [Google Scholar] [CrossRef]
- Dunlap, R.E.; Van Liere, K.D.; Mertig, A.G.; Emmet Jones, R. Measuring endorsement of the new ecological paradigm: A revised nep scale. J. Soc. Issues 2000, 56, 425–442. [Google Scholar] [CrossRef]
- China Weather Network. 2020. Available online: https://www.tianqi.com/zhuanti/zhejiangtaifeng/#lishi (accessed on 5 April 2021).
- Tencent News. The Most Destructive Typhoon in Chinese History. 2021. Available online: https://new.qq.com/omn/20210127/20210127A0G9WN00.html (accessed on 5 April 2021).
- Ningbo Yearbook. 2017. Available online: http://vod.ningbo.gov.cn:88/nbtjj/tjnj/2017nbnj/indexch.htm (accessed on 5 April 2021).
- Kadilar, C.; Cingi, H. Ratio estimators in stratified random sampling. Biom. J. 2010, 45, 218–225. [Google Scholar] [CrossRef]
- Stehman, S.V. Estimating the kappa coefficient and its variance under stratified random sampling. Photogramm. Eng. Remote Sens. 1996, 62, 401–407. [Google Scholar]
- Peng, Y.; Zhang, F.; Jiang, S.; Huang, L.; Wang, Z.; Xu, Y. Analysis of farmers’ satisfaction towards concentrated rural settlement development after the Wenchuan earthquake. Int. J. Disaster Risk Reduct. 2018, 31, 160–169. [Google Scholar] [CrossRef]
- Peng, Y.; Gu, X.; Zhu, X.; Zhang, F.; Song, Y. Recovery evaluation of villages reconstructed with concentrated rural settlement after the Wenchuan earthquake. Nat. Hazards 2020. [Google Scholar] [CrossRef]
- Nunnally, J.C.; Bernstein, I.H. Psychometric Theory, 3rd ed.; McGraw-Hill: New York, NY, USA, 1994. [Google Scholar]
- Blunch, N. Introduction to Structural Equation Modeling Using IBM SPSS Statistics and AMOS; Sage: Thousand Oaks, CA, USA, 2012. [Google Scholar]
- Shen, J.; Feng, Z.; Zeng, G.; Zhu, B.P. Risk factors for injury during typhoon Saomei. Epidemiology 2009, 20, 892–895. [Google Scholar] [CrossRef] [PubMed]
- Han, Z.; Lu, X.; Hörhager, E.I.; Yan, J. The effects of trust in government on earthquake survivors’ risk perception and preparedness in China. Nat. Hazards 2017, 86, 437–452. [Google Scholar] [CrossRef]
Variable | Category | Items | Reference Sources |
---|---|---|---|
Risk perception | Economic risk (EC) | EC01: Loss of personal and family property | News reports and interviews; [60,61,62] |
EC02: Ship loss at sea | |||
EC03: House and building destruction | |||
EC04: Infrastructure loss | |||
EC05: Crop loss | |||
EC06: Service industry losses | |||
EC07: Industrial loss | |||
EC08: Insurance compensation | |||
Liability risk (LI) | LI01: Government responsibility | [1]; Interview | |
LI02: Insurance company responsibility | |||
LI03: Media responsibility | |||
LI04: Environmental organization responsibility | |||
LI05: Individual responsibility | |||
LI06: School responsibility | |||
Personal risk (PE) | PE01: Personal safety | News reports and interviews; [18] | |
PE02: Personal mental health impact | |||
PE03: Family member safety | |||
PE04: Life Quality | |||
PE05: Daily schooling impact | |||
PE06: Daily travel impact | |||
Environmental risk (EN) | EN01: landslides and mudslides | News reports and interviews; [63] | |
EN02: Risk of power outage | |||
EN03: Trees and telephone poles are blown down by the wind, and the risk of falling objects is high. | |||
EN04: Traffic accident risk | |||
EN05: The sewer cover is washed away. | |||
EN06: Ponding risk. | |||
EN07: Possibility of infectious diseases caused by typhoon | |||
EN08: Possibility of flood caused by heavy rainfalls | |||
Environmental Value (EV) | Overall coordination view | EV01: Limited carrying capacity | [47] |
EV 02: Nature serves man | |||
EV 03: Balance in nature | |||
EV 04: Growing the economy | |||
Management science | EV 05: Abuse of the environment | ||
EV 06: Economic efficiency | |||
EV 07: Management factors | |||
EV 08: Natural damage | |||
EV 09: Subject to the laws of nature | |||
EV 10: Enhance positive coping behaviors | |||
Disaster threat | DT 1: The severity level of life threatened by typhoon | [18,23] | |
DT 2: The severity level of daily living threatened by typhoon | |||
Disaster management ability of government | DM1: The government’s ability to conduct disaster mitigation | [18,23,66] | |
DM2: The government’s ability to conduct disaster preparedness | |||
DM3: The government’s ability to conduct disaster response | |||
DM4: The government’s ability to conduct disaster recovery |
District | Haishu District | Jiangdong District | Jiangbei District | Beilun District | Zhenhai District | Yinzhou District |
---|---|---|---|---|---|---|
Junior high school | 8 | 6 | 10 | 18 | 7 | 29 |
Senior high school | 0 | 0 | 1 | 5 | 4 | 14 |
Individual Characteristics | Amount | Effective Percentage (%) | |
---|---|---|---|
Gender | Male | 412 | 50.00 |
Female | 412 | 50.00 | |
Grade | Junior One | 221 | 26.85 |
Junior Two | 178 | 21.63 | |
Junior Three | 129 | 15.67 | |
Senior One | 138 | 16.77 | |
Senior Two | 132 | 16.04 | |
Senior Three | 26 | 3.16 | |
Duration of residence in Ningbo | 0–5 years | 59 | 7.17 |
6–10 years | 152 | 18.47 | |
11–15 years | 366 | 44.47 | |
over 16 years | 247 | 30.01 | |
Parents’ occupations | freelance | 222 | 26.97 |
State units and public servants | 106 | 12.88 | |
Enterprise staff | 285 | 34.63 | |
Else | 211 | 25.64 | |
Parents education level | High school and below | 443 | 53.83 |
Technical secondary school | 92 | 11.18 | |
Junior college | 130 | 15.80 | |
Undergraduate | 121 | 14.70 | |
Postgraduate and above | 38 | 4.62 | |
Annual household income | CNY 50,000 or less | 110 | 13.37 |
CNY 50,000–100,000 | 209 | 25.39 | |
CNY 100,000–150,000 | 203 | 24.67 | |
CNY 150,000–200,000 | 108 | 13.12 | |
CNY 20,000 and above | 194 | 23.57 |
Risk Perception | α | Influence Factors | α |
---|---|---|---|
Economic risk | 0.859 | Threat | 0.859 |
Liability risk | 0.806 | Disaster management ability | 0.963 |
Personal risk | 0.835 | Environmental values | 0.666 |
Environmental Risk | 0.852 |
Risk Perception | Mean | Influence Factors | Mean |
---|---|---|---|
Economic risk | 3.382 | Threat | 3.542 |
Liability risk | 3.443 | Disaster management ability | 3.7806 |
Personal risk | 3.197 | Environmental values | 3.244 |
Environmental Risk | 3.711 |
Very Disagree (%) | Less Agree (%) | General (%) | Comparative Agree (%) | Very Agree (%) | Mean | Variance | ||
---|---|---|---|---|---|---|---|---|
Overall coordination view | EV01 | 17.2 | 20.1 | 31.6 | 18.0 | 13.1 | 2.896 | 1.586 |
EV02 | 55.9 | 12.3 | 14.9 | 8.6 | 8.3 | 2.010 | 1.798 | |
EV03 | 18.9 | 20.5 | 30.7 | 16.3 | 13.6 | 2.851 | 1.648 | |
EV04 | 56.8 | 14.1 | 13.1 | 8.7 | 7.3 | 1.956 | 1.704 | |
Management science | EV05 | 4.5 | 11.9 | 21.5 | 22.2 | 39.9 | 3.812 | 1.460 |
EV06 | 5.6 | 8.3 | 17.0 | 22.0 | 47.2 | 3.970 | 1.475 | |
EV07 | 5.1 | 14.4 | 39.8 | 20.9 | 19.8 | 3.358 | 1.222 | |
EV08 | 3.2 | 8.5 | 21.1 | 25.0 | 42.2 | 3.947 | 1.256 | |
EV09 | 5.0 | 10.0 | 24.8 | 25.4 | 35.0 | 3.754 | 1.384 | |
EV10 | 4.2 | 8.1 | 21.7 | 26.8 | 39.1 | 3.883 | 1.304 |
Estimate | S.E. | C.R. | p | ||
---|---|---|---|---|---|
Risk perception | Environmental values | 0.161 | 0.05 | 4.495 | *** |
Risk perception | Threat | 0.725 | 0.038 | 15.506 | *** |
Risk perception | Disaster management ability | 0.08 | 0.029 | 2.252 | 0.024 |
Liability risk | Risk perception | 0.553 | 0.054 | 14.817 | *** |
Personal risk | Risk perception | 0.713 | 0.058 | 19.126 | *** |
Economic risk | Risk perception | 0.747 | |||
Environmental Risk | Risk perception | 0.77 | 0.047 | 20.578 | *** |
Overall Coordination View | Environmental values | 0.612 | |||
Management Science | Environmental values | 0.902 | 0.146 | 10.025 | *** |
Life threat | Threat | 0.854 | |||
Living threat | Threat | 0.843 | 0.04 | 24.664 | *** |
Recovery | Disaster management ability | 0.829 | |||
Response | Disaster management ability | 0.916 | 0.032 | 32.822 | *** |
Preparedness | Disaster management ability | 0.882 | 0.032 | 31.171 | *** |
Mitigation | Disaster management ability | 0.704 | 0.041 | 22.282 | *** |
Fitting Index | CMIN/DF | RMR | RMSEA | GFI | AGFI | IFI | CFI | NFI |
---|---|---|---|---|---|---|---|---|
Result | 2.274 | 0.053 | 0.039 | 0.953 | 0.939 | 0.970 | 0.970 | 0.948 |
Judgment value | <3 | The smaller the better | <0.08 | >0.9 | >0.9 | >0.9 | >0.9 | >0.9 |
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Yao, L.; Shen, J.; Zhang, F.; Gu, X.; Jiang, S. Influence of Environmental Values on the Typhoon Risk Perceptions of High School Students: A Case Study in Ningbo, China. Sustainability 2021, 13, 4145. https://doi.org/10.3390/su13084145
Yao L, Shen J, Zhang F, Gu X, Jiang S. Influence of Environmental Values on the Typhoon Risk Perceptions of High School Students: A Case Study in Ningbo, China. Sustainability. 2021; 13(8):4145. https://doi.org/10.3390/su13084145
Chicago/Turabian StyleYao, Lianying, Jinchi Shen, Fuying Zhang, Xinbing Gu, and Shuli Jiang. 2021. "Influence of Environmental Values on the Typhoon Risk Perceptions of High School Students: A Case Study in Ningbo, China" Sustainability 13, no. 8: 4145. https://doi.org/10.3390/su13084145
APA StyleYao, L., Shen, J., Zhang, F., Gu, X., & Jiang, S. (2021). Influence of Environmental Values on the Typhoon Risk Perceptions of High School Students: A Case Study in Ningbo, China. Sustainability, 13(8), 4145. https://doi.org/10.3390/su13084145