Willingness to Pay for Improved Air Quality and Influencing Factors among Manufacturing Workers in Nanchang, China

Liu, Rong; Liu, Xiaojun; Pan, Bingbing; Zhu, Hui; Yuan, Zhigang; Lu, Yuanan

doi:10.3390/su10051613

Cited by 22 publications

(22 citation statements)

References 40 publications

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“…Respondents believes that there was a need to involve all stakeholders such as family and friends, the media, environmental organisations, tertiary institutions and researchers. This is in line with other studies, which have emphasised the need for a collective effort in improving the air quality in the city [30].…”

Section: Discussionsupporting

confidence: 92%

“…This study found that there was a statistical significant association between the knowledge, behaviour, and attitudes regarding air pollution (P-values >0.05). Increased air pollution awareness among community members can lead to early acceptance of air pollution policies, and interventions as well as a willingness to take protective measures [30,31].…”

Section: Discussionmentioning

confidence: 99%

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Knowledge, attitudes, and practices of tertiary education students in regard to air pollution in Windhoek, Namibia: a cross sectional study

Kemba

Nkwenika

Nkosi

2020

Preprint

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Background: Knowing the residents' knowledge, attitude, and practices to air pollution is necessary for developing interventions specific to that population. Air pollution remains a neglected environmental concern in Windhoek, Namibia and people’s perceptions about air pollution and health have not been documented. This study investigated the knowledge, attitudes and practices of tertiary students to air pollution in Windhoek. Methods: Students from five tertiary institutions in Windhoek were included in cross sectional study. A previously validated questionnaire was used to collect data from the study participants. Frequency and a corresponding percentage were reported for categorical data, whereas the association between knowledge of air pollution and perceptions was evaluated using the Chi-square test. Kruskal Wallis rank test was used to assess the statistical difference in knowledge, attitudes and practices. Data analysis was performed using STATA 15 and evaluated at a 5% level of significance Results: More than half (59.4%) of the respondents thought that air pollution was a major problem, while over 90% knew that air pollution could negatively impact health. The media was found to be the main source of information for respondents (91.1%). Despite having the knowledge, less than a third (27%) of the respondents regularly took action out of concern of air pollution. There was a statistically significant association between knowledge, attitudes, and practices to air pollution (all P < 0.05). Conclusions: Air pollution interventions targeting tertiary students should be aimed at informing them on ways in which they could contribute individually and collectively to reducing air pollution and its negative effects.

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Section: Discussionsupporting

confidence: 92%

Section: Discussionmentioning

confidence: 99%

Knowledge, attitudes, and practices of tertiary education students in regard to air pollution in Windhoek, Namibia: a cross sectional study

Kemba

Nkwenika

Nkosi

2020

Preprint

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“…However, Birdir et al [65] reported 92% WTP amount to see the improved beaches in Mersin, Turkey. Liu et al [98] reported the 53% rate of WTP for improved air quality in China. In New Zealand, Omwenga [99] reported 25.8% in CV case studies.…”

Section: Characteristics Of the Respondentsmentioning

confidence: 99%

Determinants and Values of Willingness to Pay for Water Quality Improvement: Insights from Chia Lagoon, Malawi

2019

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Water resources in the Chia lagoon in Malawi experience a possible threat to sustainability. Communities are seeking alternatives to improve water quality in the lagoon. This study quantified the communities’ willingness-to-pay (WTP) and their influencing factors while using contingent valuation (CV) techniques. A wide range of data collection procedures, including focus group discussions, key informant interviews, field observation, and CV survey, were employed. A sample of 300 households was randomly selected. The CV results showed that 57.4% of the households were willing to pay. The monthly individual aggregate WTP amount ranged from MK696.83 (US$0.95) to MK81697 (US$111.38), and on average MK7870.45 (US$10.73), generating aggregate annual values ranging from MK6, 689,568 (US$9126.29) to MK784, 294,080 (US$1,069,978), and on average MK75,556,320 (US$103,078) (ceteris paribus). Logistic regression model demonstrated a significant (p < 0.01 or p < 0.05) relationship between demographic (gender, age, literacy level), social-economic (land ownership, main agriculture water source, and income), and institutional (civic education and social network, extension, institutional trust, household socio trust) factors and WTP. The findings from this study provide significant clues for further research and baseline information for local government and communities in the development of more effective and holistic approaches for improving water quality in natural ecosystems.

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“…This study findings indicated high rate of WTP as compared to other previous studies. For instance, Liu et al [51] reported 53% rate of WTP for improved air quality in China. In New Zealand, Omwenga, [52] reported 25.8% in CV case studies.…”

Section: Discussionmentioning

confidence: 99%

Willingness to Pay for Improved Water Quality and Influencing factors: An Insight from Chia Lagoon, Malawi

Makwinja¹,

Kosamu²,

Kaonga³

2019

Preprint

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(1) Background: Water resources at Chia lagoon experience possible threat to its sustainability. Communities are seeking alternatives to improve water quality at the lagoon. The study evaluated the extent at which local communities are WTP to improve water quality at Chia lagoon and the influencing factors. (2) Methods: A study was conducted at Chia lagoon, Western Part of Lake Malawi from November, 2015 to March, 2016. Wide range of data collection approaches such as household surveys, exploratory surveys, focus group discussions, key informant interviews and field observation were employed. A sample of 240 households were selected randomly. Qualitative data was analysed using content analysis. Multivariate logistic regression analysis was used to determine factors influence WTP. (3) Results: Out of 240 respondents, 57.4% expressed WTP. Multivariate logistic regression analysis demonstrated significant (P<0.01 or P<0.05) relationship between demographic (Gender, age, literacy level), social-economic (Land ownership, main agriculture water source and income) and institution (civic education and social network, extension, water user rights) factors and WTP. (4) Conclusion: The findings from this study provide significant clues for further research and baseline information for local government and local communities in development of more effective and holistic approaches to improve water quality.

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Willingness to Pay for Improved Air Quality and Influencing Factors among Manufacturing Workers in Nanchang, China

Cited by 22 publications

References 40 publications

Knowledge, attitudes, and practices of tertiary education students in regard to air pollution in Windhoek, Namibia: a cross sectional study

Knowledge, attitudes, and practices of tertiary education students in regard to air pollution in Windhoek, Namibia: a cross sectional study

Determinants and Values of Willingness to Pay for Water Quality Improvement: Insights from Chia Lagoon, Malawi

Willingness to Pay for Improved Water Quality and Influencing factors: An Insight from Chia Lagoon, Malawi

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