Exploring Inner-City Residents’ and Foreigners’ Commitment to Improving Air Pollution: Evidence from a Field Survey in Hanoi, Vietnam
Abstract
:1. Summary
2. Data Description
2.1. Willingness to Pay for Air Pollution Reduction among Hanoi’s Residents.
2.2. Willingness to Pay for Air Pollution Reduction by Foreigners in Hanoi
3. Methods
3.1. Experimental Design and Methods
3.2. Sample Size Justification
3.3. Questionnaire Design and Contingent Valuation Question Format
4. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- WHO Air Pollution Statistics. Available online: https://www.who.int/health-topics/air-pollution#tab=tab_1 (accessed on 8 April 2021).
- Yang, G.; Wang, Y.; Zeng, Y.; Gao, G.F.; Liang, X.; Zhou, M.; Wan, X.; Yu, S.; Jiang, Y.; Naghavi, M.; et al. Rapid health transition in China, 1990-2010: Findings from the Global Burden of disease study 2010. Lancet 2013, 381, 1987–2015. [Google Scholar] [CrossRef]
- World Bank. The Cost of Air Pollution Strengthening the Economic Case for Action; World Bank: Washington, DC, USA, 2016. [Google Scholar]
- Lichter, A.; Pestel, N.; Sommer, E. Productivity effects of air pollution: Evidence from professional soccer. Labour Econ. 2017, 48, 54–66. [Google Scholar] [CrossRef] [Green Version]
- He, J.; Liu, H.; Salvo, A. Severe air pollution and labor productivity: Evidence from industrial towns in China. Am. Econ. J. Appl. Econ. 2019, 11, 173–201. [Google Scholar] [CrossRef] [Green Version]
- Deng, T.; Li, X.; Ma, M. Evaluating impact of air pollution on China’s inbound tourism industry: A spatial econometric approach. Asia Pac. J. Tour. Res. 2017, 22, 771–780. [Google Scholar] [CrossRef]
- Zhou, B.; Qu, H.; Du, X.; Yang, B.; Liu, F. Air quality and inbound tourism in China. Tour. Anal. 2018, 23, 159–164. [Google Scholar] [CrossRef]
- Brauer, M.; Freedman, G.; Frostad, J.; Van Donkelaar, A.; Martin, R.V.; Dentener, F.; Van Dingenen, R.; Estep, K.; Amini, H.; Apte, J.S.; et al. Ambient Air Pollution Exposure Estimation for the Global Burden of Disease 2013. Environ. Sci. Technol. 2016, 50, 79–88. [Google Scholar] [CrossRef] [PubMed]
- IQAir. 2018 World Air Quality Report; IQAir: Godard Hector, Switzerland, 2018. [Google Scholar]
- IQAir. 2019 World Air Quality Report; IQAir: Godard Hector, Switzerland, 2019. [Google Scholar]
- Thang Nam, D. Bold Action Needed to Address Vietnam’s Air Pollution. Available online: https://www.eastasiaforum.org/2020/03/25/bold-action-needed-to-address-vietnams-air-pollution/ (accessed on 8 April 2021).
- Luong, L.M.T.; Phung, D.; Sly, P.D.; Morawska, L.; Thai, P.K. The association between particulate air pollution and respiratory admissions among young children in Hanoi, Vietnam. Sci. Total Environ. 2017, 578, 249–255. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Trinh, T.T.; Trinh, T.T.; Le, T.T.; Nguyen, T.D.H.; Tu, B.M. Temperature inversion and air pollution relationship, and its effects on human health in Hanoi City, Vietnam. Environ. Geochem. Health 2019, 41, 929–937. [Google Scholar] [CrossRef] [PubMed]
- Vuong, Q.H.; Ho, M.T.; Nguyen, H.K.T.; Nguyen, M.H. The trilemma of sustainable industrial growth: Evidence from a piloting OECD’s Green city. Palgrave Commun. 2019, 5, 1–14. [Google Scholar] [CrossRef]
- Greenstone, M.; Schwarz, P. Is China Winning its War on Pollution? Energy Policy Institute at the University of Chicago: Chicago, IL, USA, 2018. [Google Scholar]
- Van Khuc, Q.; Phu, T.V.; Luu, P. Dataset on the Hanoian suburbanites’ perception and mitigation strategies towards air pollution. Data Br. 2020, 33, 106414. [Google Scholar] [CrossRef]
- Sun, C.; Yuan, X.; Yao, X. Social acceptance towards the air pollution in China: Evidence from public’s willingness to pay for smog mitigation. Energy Policy 2016, 92, 313–324. [Google Scholar] [CrossRef]
- Pu, S.; Shao, Z.; Yang, L.; Liu, R.; Bi, J.; Ma, Z. How much will the Chinese public pay for air pollution mitigation? A nationwide empirical study based on a willingness-to-pay scenario and air purifier costs. J. Clean. Prod. 2019, 218, 51–60. [Google Scholar] [CrossRef]
- Dong, K.; Zeng, X. Public willingness to pay for urban smog mitigation and its determinants: A case study of Beijing, China. Atmos. Environ. 2018, 173, 355–363. [Google Scholar] [CrossRef]
- Becker, G. A Treatise on the Family; Havard University Press: Havard, MA, USA, 1981. [Google Scholar]
- Dauphin, A.; El Lahga, A.; Fortin, B.; Lacroix, G. Are Children Decision-Makers within the Household? Econ. J. 2011, 121, 871–903. [Google Scholar] [CrossRef]
- Istamto, T.; Houthuijs, D.; Lebret, E. Willingness to pay to avoid health risks from road-traffic-related air pollution and noise across five countries. Sci. Total Environ. 2014, 497–498, 420–429. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Wang, H.; Mullahy, J. Willingness to pay for reducing fatal risk by improving air quality: A contingent valuation study in Chongqing, China. Sci. Total Environ. 2006, 367, 50–57. [Google Scholar] [CrossRef]
- Shao, S.; Tian, Z.; Fan, M. Do the rich have stronger willingness to pay for environmental protection? New evidence from a survey in China. World Dev. 2018, 105, 83–94. [Google Scholar] [CrossRef]
- Givens, J.E.; Jorgenson, A.K. The Effects of Affluence, Economic Development, and Environmental Degradation on Environmental Concern: A Multilevel Analysis. Organ. Environ. 2011, 24, 74–91. [Google Scholar] [CrossRef]
- Wang, B.; Hong, G.; Qin, T.; Fan, W.R.; Yuan, X.C. Factors governing the willingness to pay for air pollution treatment: A case study in the Beijing-Tianjin-Hebei region. J. Clean. Prod. 2019, 235, 1304–1314. [Google Scholar] [CrossRef]
- Ito, K.; Zhang, S. Willingness to pay for clean air: Evidence from air purifier markets in China. J. Polit. Econ. 2020, 128, 1627–1672. [Google Scholar] [CrossRef] [Green Version]
- Kenneth, D. Bailey Methods of Social Research, 4th ed.; The Free Press: New York, NY, USA, 1994. [Google Scholar]
- The Government of Vietnam, Decision No. 78-CP, dated 31 May 1961. Available online: https://thuvienphapluat.vn/van-ban/bo-may-hanh-chinh/Quyet-dinh-78-CP-chia-khu-vuc-noi-ngoai-thanh-thanh-pho-Ha-Noi-20286.aspx (accessed on 30 August 2020).
- Hanoi People’s Committee, Decision No. 03/2020/QĐ-UBND, dated 2 March 2020. Available online: https://vanban.hanoi.gov.vn/documents/10182/2518750/QDPQ-03-2020.pdf (accessed on 30 August 2020).
- Faber, J.; Fonseca, L.M. How sample size influences research outcomes. Dental Press J. Orthod. 2014, 19, 27–29. [Google Scholar] [CrossRef] [PubMed]
- VanVoorhis, C.R.W.; Morgan, B.L. Understanding Power and Rules of Thumb for Determining Sample Sizes. Tutor. Quant. Methods Psychol. 2007, 3, 43–50. [Google Scholar] [CrossRef]
- Taherdoost, H. Determining Sample Size; How to Calculate Survey Sample Size. Int. J. Econ. Manag. Syst. 2020, 2, 237–239. [Google Scholar]
- Yamane, T. Statistics An Introductory Analysis, 2nd ed. Available online: https://www.gbv.de/dms/zbw/252560191.pdf (accessed on 8 April 2021).
- Hussain, A.; Thapa, G.B. Smallholders’ access to agricultural credit in Pakistan. Food Secur. 2012, 4, 73–85. [Google Scholar] [CrossRef]
- Zulfiqar, F.; Ullah, R.; Abid, M.; Hussain, A. Cotton production under risk: A simultaneous adoption of risk coping tools. Nat. Hazards 2016, 84, 959–974. [Google Scholar] [CrossRef]
- Ullah, R.; Jourdain, D.; Shivakoti, G.P.; Dhakal, S. Managing catastrophic risks in agriculture: Simultaneous adoption of diversification and precautionary savings. Int. J. Disaster Risk Reduct. 2015, 12, 268–277. [Google Scholar] [CrossRef]
- Ain, Q.; Ullah, R.; Kamran, M.A.; Zulfiqar, F. Air pollution and its economic impacts at household level: Willingness to pay for environmental services in Pakistan. Environ. Sci. Pollut. Res. 2021, 28, 6611–6618. [Google Scholar] [CrossRef] [PubMed]
- Champ, P.A.; Boyle, K.J.; Brown, T.C. A Primer on Nonmarket Valuation; Springer: Berlin/Heidelberg, Germany, 2017; Volume 13, ISBN 9789400771031. [Google Scholar]
Motives | Reasons | N | Percentages |
---|---|---|---|
Genuine zero motivation | The fund is not necessary since either the air protection activities in the living area are already good enough or the air quality in the living area is already good enough. | 3 | 1.5% |
I do not have money/My family is in a financially difficult situation, so I could not contribute. | 1 | 0.5% | |
Protest responses | The fund is either ineffective or not practical. | 24 | 12.1% |
I think the government has to do more work. This is not my responsibility. | 5 | 2.5% | |
I do not care about that kind of air protection activities. | 5 | 2.5% | |
I need more information about the fund and its activities before deciding. | 2 | 1.0% | |
I think consciousness is more important. | 1 | 0.5% |
Demographic Factors | N | Mean WTP | S.D. | S.E. | Min | Max | |
---|---|---|---|---|---|---|---|
Gender | Female | 78 | 2.4 | 2.4 | 0.3 | 0.2 | 13.0 |
Male | 72 | 5.2 | 8.4 | 1.0 | 0.2 | 43.5 | |
Age | 10–18 | 6 | 4.0 | 2.5 | 1.0 | 2.2 | 8.7 |
19–30 | 47 | 3.6 | 5.4 | 0.8 | 0.2 | 21.7 | |
31–40 | 36 | 3.0 | 2.4 | 0.4 | 0.2 | 10.9 | |
41–50 | 22 | 8.1 | 12.4 | 2.6 | 0.4 | 43.5 | |
51–60 | 15 | 1.9 | 1.1 | 0.3 | 0.4 | 4.3 | |
Above 60 | 24 | 2.1 | 4.3 | 0.9 | 0.3 | 21.7 | |
Highest education level achieved | Secondary school or below | 13 | 3.5 | 5.6 | 1.6 | 0.4 | 21.7 |
Highschool | 46 | 3.1 | 3.8 | 0.6 | 0.4 | 21.7 | |
Technical school | 11 | 2.7 | 1.9 | 0.6 | 0.2 | 6.5 | |
Bachelor’s Degree | 74 | 4.3 | 8.0 | 0.9 | 0.2 | 43.5 | |
Master’s Degree | 6 | 3.0 | 1.5 | 0.6 | 1.3 | 4.3 | |
Doctoral Degree | - | - | - | - | - | - | |
Work place | Outdoor | 26 | 3.5 | 4.4 | 0.9 | 0.4 | 21.7 |
Indoor | 122 | 3.8 | 6.6 | 0.6 | 0.2 | 43.5 | |
Total number of family members | 1–2 | 18 | 4.5 | 6.5 | 1.5 | 0.4 | 21.7 |
3–5 | 102 | 3.1 | 4.0 | 0.4 | 0.2 | 21.7 | |
6–8 | 28 | 5.5 | 11.1 | 2.1 | 0.3 | 43.5 | |
More than 8 | 2 | 3.3 | 1.5 | 1.1 | 2.2 | 4.3 | |
D. Other Factors | |||||||
Contribution periods | Less than one year | 23 | 3.1 | 3.6 | 0.8 | 0.4 | 13.0 |
1–2 years | - | - | - | - | - | - | |
3–5 years | 7 | 6.0 | 7.5 | 2.8 | 0.2 | 21.7 | |
More than 5 years | 12 | 3.5 | 5.8 | 1.7 | 0.4 | 21.7 | |
Do not know when will stop contributing | 88 | 4.2 | 7.2 | 0.8 | 0.2 | 43.5 | |
Certainty degree on WTP decisions (1-lowest level; 10-highest level) | 1–5 | 5 | 2.3 | 2.0 | 0.9 | 0.4 | 4.3 |
6–10 | 145 | 3.8 | 6.3 | 0.5 | 0.2 | 43.5 |
Aspects on Air Quality | N | Mean WTP | S.D. | S.E. | Min | Max | |
---|---|---|---|---|---|---|---|
Air quality at living districts | Very good | - | - | - | - | - | - |
Good | 7 | 2.5 | 1.8 | 0.7 | 0.4 | 4.3 | |
Normal | 60 | 4.3 | 8.3 | 1.1 | 0.4 | 43.5 | |
Bad | 68 | 3.5 | 4.8 | 0.6 | 0.2 | 21.7 | |
Very bad | 15 | 3.1 | 2.8 | 0.7 | 0.2 | 8.7 | |
Air quality of the whole city | Very good | - | - | - | - | - | - |
Good | 2 | 22.0 | 30.4 | 21.5 | 0.4 | 43.5 | |
Normal | 23 | 3.5 | 4.3 | 0.9 | 0.4 | 21.7 | |
Bad | 102 | 3.5 | 5.7 | 0.6 | 0.2 | 43.5 | |
Very bad | 23 | 3.2 | 4.6 | 0.9 | 0.2 | 21.7 | |
Air quality of the living district compared to the past | Better | 7 | 2.2 | 1.6 | 0.6 | 0.4 | 4.3 |
Unchanged | 9 | 2.7 | 2.0 | 0.7 | 0.4 | 6.5 | |
Worse | 134 | 3.9 | 6.5 | 0.6 | 0.2 | 43.5 | |
Hanoi’s air quality is getting more polluted | No | 4 | 19.6 | 17.5 | 8.7 | 6.5 | 43.5 |
Yes | 146 | 3.3 | 5.1 | 0.4 | 0.2 | 43.5 | |
Air quality satisfaction level | Very dissatisfied | 23 | 5.2 | 9.5 | 2.0 | 0.2 | 43.5 |
Dissatisfied | 76 | 2.8 | 3.7 | 0.4 | 0.2 | 21.7 | |
Normal | 46 | 4.4 | 7.5 | 1.1 | 0.2 | 43.5 | |
Satisfied | 5 | 4.7 | 3.9 | 1.8 | 0.4 | 8.7 | |
Very satisfied | - | - | - | - | - | - | |
Air protection satisfaction level | Very dissatisfied | 14 | 5.2 | 7.3 | 2.0 | 0.4 | 21.7 |
Dissatisfied | 54 | 4.3 | 8.1 | 1.1 | 0.2 | 43.5 | |
Normal | 60 | 3.2 | 4.7 | 0.6 | 0.4 | 21.7 | |
Satisfied | 21 | 2.3 | 2.3 | 0.5 | 0.2 | 8.7 | |
Very satisfied | - | - | - | - | - | - | |
Evaluation of air quality at the moment (0-worst; 100-best) | 0–25 | 23 | 3.1 | 4.5 | 0.9 | 0.2 | 21.7 |
26–50 | 90 | 3.4 | 5.6 | 0.6 | 0.2 | 43.5 | |
51–75 | 36 | 5.1 | 8.3 | 1.4 | 0.4 | 43.5 | |
76–100 | 1 | 0.4 | 0.0 | 0.0 | 0.4 | 0.4 | |
Wish of air quality score in the future (0-worst; 100-best) | 0–25 | - | - | - | - | - | - |
26–50 | - | - | - | - | - | - | |
51–75 | 44 | 2.8 | 3.6 | 0.5 | 0.2 | 21.7 | |
76–100 | 106 | 4.1 | 7.0 | 0.7 | 0.2 | 43.5 |
Severity and Impact of Air Pollution | N | Mean WTP | S.D. | S.E. | Min | Max | |
---|---|---|---|---|---|---|---|
Concerns regarding air pollution | Very concerned | 54 | 4.3 | 8.5 | 1.2 | 0.2 | 43.5 |
Concerned | 76 | 3.6 | 4.9 | 0.6 | 0.2 | 21.7 | |
Normal | 17 | 2.5 | 2.2 | 0.5 | 0.2 | 8.7 | |
Not concerned | 2 | 3.3 | 1.5 | 1.1 | 2.2 | 4.3 | |
Do not care | 1 | 1.3 | 0.0 | 0.0 | 1.3 | 1.3 | |
Impacted degree of air pollution | Very impacted | 52 | 4.2 | 8.2 | 1.1 | 0.2 | 43.5 |
Impacted | 85 | 3.2 | 4.6 | 0.5 | 0.2 | 21.7 | |
Normal | 11 | 5.8 | 6.8 | 2.0 | 0.4 | 21.7 | |
Not impacted | 2 | 2.4 | 2.8 | 2.0 | 0.4 | 4.3 | |
Level of urgency to solve air pollution problem | Very urgent | 67 | 4.8 | 8.3 | 1.0 | 0.2 | 43.5 |
Urgent | 72 | 3.0 | 3.8 | 0.5 | 0.2 | 21.7 | |
Normal | 10 | 2.1 | 2.4 | 0.8 | 0.4 | 8.7 | |
Not urgent | 1 | 1.3 | 0.0 | 0.0 | 1.3 | 1.3 | |
Health disease related to air pollution | No | 70 | 3.2 | 4.2 | 0.5 | 0.2 | 21.7 |
Yes | 61 | 3.9 | 6.9 | 0.9 | 0.2 | 43.5 | |
Do not know | 19 | 5.1 | 9.6 | 2.2 | 0.4 | 43.5 |
Preventive Measures | N | Mean WTP | S.D. | S.E. | Min | Max | |
---|---|---|---|---|---|---|---|
Own an air purifier | No | 122 | 3.5 | 6.4 | 0.6 | 0.2 | 43.5 |
Yes | 27 | 4.6 | 5.2 | 1.0 | 1.3 | 21.7 | |
Travel to avoid air pollution | No | 117 | 3.2 | 5.3 | 0.5 | 0.2 | 43.5 |
Yes | 32 | 5.8 | 8.6 | 1.5 | 0.2 | 43.5 | |
Stay at home to avoid air pollution | No | 94 | 3.4 | 5.5 | 0.6 | 0.2 | 43.5 |
Yes | 56 | 4.3 | 7.3 | 1.0 | 0.2 | 43.5 | |
Thinking of moving to another city | No | 133 | 3.7 | 6.4 | 0.6 | 0.2 | 43.5 |
Yes | 16 | 3.9 | 5.2 | 1.3 | 0.4 | 21.7 | |
Thinking of moving to another country | No | 134 | 3.7 | 6.5 | 0.6 | 0.2 | 43.5 |
Yes | 16 | 3.5 | 2.8 | 0.7 | 1.3 | 10.9 |
Willingness to Pay (WTP) | N | Mean WTP | S.D. | S.E. | Min | Max | |
---|---|---|---|---|---|---|---|
Purpose in Hanoi | Travelling | 27 | 5.7 | 9.5 | 1.8 | 1.0 | 50.0 |
Working | 2 | 26.5 | 33.2 | 23.5 | 3.0 | 50.0 | |
Living | - | - | - | - | - | - | |
Air quality in Hanoi | Very good | - | - | - | - | - | - |
Good | 3 | 3.7 | 1.2 | 0.7 | 3.0 | 5.0 | |
Normal | 16 | 6.1 | 11.8 | 3.0 | 1.0 | 50.0 | |
Bad | 9 | 10.8 | 15.7 | 5.2 | 2.0 | 50.0 | |
Very bad | 1 | 2.0 | - | - | 2.0 | 2.0 | |
Travel again even if Hanoi is in top 10 most polluted cities | No | 2 | 12.5 | 10.6 | 7.5 | 5.0 | 20.0 |
Yes | 11 | 7.9 | 14.0 | 4.2 | 2.0 | 50.0 | |
Do not know | 16 | 5.9 | 11.8 | 3.0 | 1.0 | 50.0 | |
Age | 10–18 | - | - | - | - | - | - |
19–30 | 14 | 4.4 | 4.7 | 1.3 | 1.0 | 20.0 | |
31–40 | 8 | 9.3 | 16.5 | 5.8 | 2.0 | 50.0 | |
41–50 | 1 | 3.0 | - | - | 3.0 | 3.0 | |
51–60 | 4 | 3.5 | 1.7 | 0.9 | 2.0 | 5.0 | |
Above 60 | 2 | 27.5 | 31.8 | 22.5 | 5.0 | 50.0 | |
Occupation | Studying | 3 | 2.7 | 2.1 | 1.2 | 1.0 | 5.0 |
Working | 24 | 7.4 | 13.2 | 2.7 | 1.0 | 50.0 | |
Retired | 1 | 2.0 | - | - | 2.0 | 2.0 | |
Studying and Working | 1 | 20.0 | - | - | 20.0 | 20.0 |
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Vuong, Q.-H.; Phu, T.V.; Le, T.-A.T.; Van Khuc, Q. Exploring Inner-City Residents’ and Foreigners’ Commitment to Improving Air Pollution: Evidence from a Field Survey in Hanoi, Vietnam. Data 2021, 6, 39. https://doi.org/10.3390/data6040039
Vuong Q-H, Phu TV, Le T-AT, Van Khuc Q. Exploring Inner-City Residents’ and Foreigners’ Commitment to Improving Air Pollution: Evidence from a Field Survey in Hanoi, Vietnam. Data. 2021; 6(4):39. https://doi.org/10.3390/data6040039
Chicago/Turabian StyleVuong, Quan-Hoang, Tri Vu Phu, Tuyet-Anh T. Le, and Quy Van Khuc. 2021. "Exploring Inner-City Residents’ and Foreigners’ Commitment to Improving Air Pollution: Evidence from a Field Survey in Hanoi, Vietnam" Data 6, no. 4: 39. https://doi.org/10.3390/data6040039
APA StyleVuong, Q. -H., Phu, T. V., Le, T. -A. T., & Van Khuc, Q. (2021). Exploring Inner-City Residents’ and Foreigners’ Commitment to Improving Air Pollution: Evidence from a Field Survey in Hanoi, Vietnam. Data, 6(4), 39. https://doi.org/10.3390/data6040039