scholarly journals Willingness to Pay for Air Quality Improvements in Sofia, Bulgaria

1999 ◽  
Author(s):  
Hua Wang ◽  
Hua Wang ◽  
Dale Whittington
Keyword(s):  
Air Quality ◽  
Willingness To Pay ◽  
Quality Improvements

WILLINGNESS TO PAY FOR AIR QUALITY IMPROVEMENTS FROM USING ELECTRIC JEEPNEYS IN METRO MANILA

2015 ◽  
Vol 60 (04) ◽  
pp. 1550073 ◽  
Author(s):  
JAMIL PAOLO S. FRANCISCO
Keyword(s):  
Air Quality ◽  
Willingness To Pay ◽  
Contingent Valuation ◽  
Public Transportation ◽  
Income Elasticity ◽  
Contingent Valuation Method ◽  
Quality Improvements ◽  
Valuation Method ◽  
Metro Manila ◽  
The Impact

This study used the contingent valuation method (CVM) to measure the benefits of improved air quality in Metro Manila through the adoption of cleaner public transportation. A single-bound dichotomous choice contingent valuation approach using the referendum format was used to estimate the willingness to pay (WTP) from a survey of 1,000 households. The study arrived at WTP estimates for the proposed program ranging from USD3.85 to USD5.77 per month. Income elasticity of WTP was estimated at 0.49. The study also investigated the impact of using secret ballots for eliciting WTP responses to minimize "yea-saying" behavior and reduce social desirability bias.

scholarly journals Comparing welfare estimates across stated preference and uncertainty elicitation formats for air quality improvements in Nairobi, Kenya

2016 ◽  
Vol 21 (5) ◽  
pp. 649-668 ◽  
Author(s):  
Hilary Ndambiri ◽  
Roy Brouwer ◽  
Eric Mungatana
Keyword(s):  
Quality Improvement ◽  
Air Quality ◽  
Willingness To Pay ◽  
Financial Support ◽  
Stated Preference ◽  
Quality Improvements ◽  
Payment Card ◽  
Preference Uncertainty ◽  
Payment Cards ◽  
Air Quality Improvement

AbstractThe effect of preference uncertainty on estimated willingness to pay (WTP) is examined using identical payment cards and alternative uncertainty elicitation procedures in three split samples, focusing on air quality improvement in Nairobi. The effect of the stochastic payment card (SPC) and polychotomous payment card (PPC) are compared with a conventional payment card (PC). Substantial financial support is found for improved air quality in Nairobi, with approximately 85 per cent of the whole sample stating a positive WTP. The way WTP values are elicited, with and without ability to express preference uncertainty, has significant effect on WTP welfare estimate. Allowing respondents to express experienced uncertainty when stating WTP value yields more conservative but less accurate WTP values for inclusion in policy analysis. The PPC seems to hold more promise since it is easier to understand and imposes less cognitive burden on survey participants than the SPC in a developing country context.

scholarly journals Willingness to Pay for Air Quality Improvements in Klang Valley Malaysia

2005 ◽  
Vol 1 (3) ◽  
pp. 194-201 ◽  
Author(s):  
Rafia Afroz ◽  
Mohd Nasir Hassan ◽  
Muhamad Awang ◽  
Noor Akma Ibrahim
Keyword(s):  
Air Quality ◽  
Willingness To Pay ◽  
Quality Improvements ◽  
Klang Valley

scholarly journals Abrupt but smaller than expected changes in surface air quality attributable to COVID-19 lockdowns

2021 ◽  
Vol 7 (3) ◽  
pp. eabd6696
Author(s):  
Zongbo Shi ◽  
Congbo Song ◽  
Bowen Liu ◽  
Gongda Lu ◽  
Jingsha Xu ◽  
...  
Keyword(s):  
Air Quality ◽  
Air Pollutant ◽  
Pollutant Emissions ◽  
Quality Improvements ◽  
Learning Technique ◽  
Emission Changes ◽  
Almost All ◽  
Gaseous Oxidant ◽  
Sophisticated Analysis ◽  
Limited Change

The COVID-19 lockdowns led to major reductions in air pollutant emissions. Here, we quantitatively evaluate changes in ambient NO2, O3, and PM2.5 concentrations arising from these emission changes in 11 cities globally by applying a deweathering machine learning technique. Sudden decreases in deweathered NO2 concentrations and increases in O3 were observed in almost all cities. However, the decline in NO2 concentrations attributable to the lockdowns was not as large as expected, at reductions of 10 to 50%. Accordingly, O3 increased by 2 to 30% (except for London), the total gaseous oxidant (Ox = NO2 + O3) showed limited change, and PM2.5 concentrations decreased in most cities studied but increased in London and Paris. Our results demonstrate the need for a sophisticated analysis to quantify air quality impacts of interventions and indicate that true air quality improvements were notably more limited than some earlier reports or observational data suggested.

Predicting air quality: Improvements through advanced methods to integrate models and measurements

2008 ◽  
Vol 227 (7) ◽  
pp. 3540-3571 ◽  
Author(s):  
Gregory R. Carmichael ◽  
Adrian Sandu ◽  
Tianfeng Chai ◽  
Dacian N. Daescu ◽  
Emil M. Constantinescu ◽  
...  
Keyword(s):  
Air Quality ◽  
Quality Improvements

The impact of COVID-19 lockdowns on surface urban heat island changes and air-quality improvements across 21 major cities in the Middle East

2021 ◽  
pp. 117802
Author(s):  
Ahmed M. El Kenawy ◽  
Juan I. Lopez-Moreno ◽  
Matthew F. McCabe ◽  
Fernando Domínguez-Castro ◽  
Dhais Peña-Angulo ◽  
...  
Keyword(s):  
Air Quality ◽  
Middle East ◽  
Urban Heat Island ◽  
Heat Island ◽  
Quality Improvements ◽  
Urban Heat ◽  
Surface Urban Heat Island ◽  
The Impact

Residents’ preferred measures and willingness-to-pay for improving urban air quality: A case study of Hanoi city, Vietnam

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Thanh Cong Nguyen ◽  
Hang Dieu Nguyen ◽  
Hoa Thu Le ◽  
Shinji Kaneko
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Willingness To Pay ◽  
Public Transportation ◽  
Online Survey ◽  
Urban Air Quality ◽  
Multivariate Probit ◽  
Urban Air ◽  
Content Type ◽  
Public Opinions

PurposeThis purpose of this paper is to understand residents’ choice of preferred measures and their willingness-to-pay (WTP) for the measures to improve the air quality of Hanoi city.Design/methodology/approachQuestionnaire surveys were conducted to collect the opinions of 212 household representatives living in Hanoi City. The survey tools were tested and adjusted through an online survey with 191 responses. Multivariate probit and linear regression models were used to identify determinants of respondents’ choices of measures and their WTP.FindingsRespondents expressed their strong preferences for three measures for air quality improvements, including: (1) increase of green spaces; (2) use of less polluting fuels; (3) expansion of public transportation. The mean WTP for the implementation of those measures was estimated at about 148,000–282,000 Vietnamese dong, equivalent to 0.09–0.16% of household income. The respondents’ choices appear to be consistent with their characteristics and needs, such as financial affordability, time on roads and their perceived impacts of air pollution. The WTP estimates increase with perception of air pollution impacts, time on roads, education and income; but are lower for older people.Originality/valueTo gain a better understanding of public opinions, we applied multivariate probit models to check whether respondents’ choices were consistent with their characteristics and perceptions. This appears to be the first attempt to test the validity of public opinions on choices of measures for improving urban air quality in Vietnam. Our WTP estimates also contribute to the database on the values of improved air quality in the developing world.

scholarly journals The role of emission reductions and the meteorological situation for air quality improvements during the COVID-19 lockdown period in central Europe

2021 ◽  
Vol 21 (18) ◽  
pp. 13931-13971
Author(s):  
Volker Matthias ◽  
Markus Quante ◽  
Jan A. Arndt ◽  
Ronny Badeke ◽  
Lea Fink ◽  
...  
Keyword(s):  
Air Quality ◽  
Central Europe ◽  
Urban Areas ◽  
Road Traffic ◽  
Quality Improvements ◽  
Emission Data ◽  
Emission Reductions ◽  
Meteorological Situation ◽  
Weather Situation

Abstract. The lockdown measures taken to prevent a rapid spreading of the coronavirus in Europe in spring 2020 led to large emission reductions, particularly in road traffic and aviation. Atmospheric concentrations of NO2 and PM2.5 were mostly reduced when compared to observations taken for the same time period in previous years; however, concentration reductions may not only be caused by emission reductions but also by specific weather situations. In order to identify the role of emission reductions and the meteorological situation for air quality improvements in central Europe, the meteorology chemistry transport model system COSMO-CLM/CMAQ was applied to Europe for the period 1 January to 30 June 2020. Emission data for 2020 were extrapolated from most recent reported emission data, and lockdown adjustment factors were computed from reported activity data changes, e.g. Google mobility reports. Meteorological factors were investigated through additional simulations with meteorological data from previous years. The results showed that lockdown effects varied significantly among countries and were most prominent for NO2 concentrations in urban areas with 2-week-average reductions up to 55 % in the second half of March. Ozone concentrations were less strongly influenced (up to ±15 %) and showed both increasing and decreasing concentrations due to lockdown measures. This depended strongly on the meteorological situation and on the NOx / VOC emission ratio. PM2.5 revealed 2 %–12 % reductions of 2-week-average concentrations in March and April, which is much less than a different weather situation could cause. Unusually low PM2.5 concentrations as observed in northern central Europe were only marginally caused by lockdown effects. The lockdown can be seen as a big experiment about air quality improvements that can be achieved through drastic traffic emission reductions. From this investigation, it can be concluded that NO2 concentrations can be largely reduced, but effects on annual average values are small when the measures last only a few weeks. Secondary pollutants like ozone and PM2.5 depend more strongly on weather conditions and show a limited response to emission changes in single sectors.

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