Spatiotemporal Change of Air-Quality Patterns in Hubei Province—A Pre- to Post-COVID-19 Analysis Using Path Analysis and Regression

Aamir, Muhammad; Li, Zeyun; Bazai, Sibghatullah; Wagan, Raja Asif; Bhatti, Uzair Aslam; Nizamani, Mir Muhammad; Akram, Shakeel

doi:10.3390/atmos12101338

Cited by 45 publications

(24 citation statements)

References 29 publications

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“…It can be observed that the AQI and other pollutants gradually decrease after the implementation of a lockdown in Hefei and nearby cities on 2 Feb 2020 [27]. Soon after the lockdown begins, the pollutants and the AQI start to continuously decrease due to low human activity and less economic development [28]. After the lockdown was lifted on 8 April 2020, the AQI level started increasing once again, while the level of O 3 , which was decreasing, shifts towards increasing after the lockdown ended.…”

Section: Daily Change In Air Pollutants Duringmentioning

confidence: 99%

A Pre- to Post-COVID-19 Change of Air Quality Patterns in Anhui Province Using Path Analysis and Regression

Bhatti¹,

Wu²,

Bazai³

et al. 2022

Pol. J. Environ. Stud.

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During the epidemic period, primary emissions across the world were significantly reduced, while the response to secondary pollution such as ozone differed from region to region. To study the impact of the strict control measures of the new COVID-19 epidemic on the air quality of Anhui in early 2020, the air quality monitoring data of Anhui, from 2019 to 2021, specifically 1 January to 30 August, was examined to analyze the characteristics of the temporal and spatial distribution. Regression and path analysis were used to extract the relationship between the variable. PM 10 and O 3 , on average, increased by 6%, and 2%, while PM 2.5 , SO 2 decreased by 15% and 10% in the post-COVID-19 period. All air quality pollutants decreased during the active-COVID-19 period, with a maximum decrease of 21% observed in PM 10 , followed by 19% of PM 2.5 , and a minimum decrease of 2% observed in O 3 . Changes in air pollutants from 2017 to 2021 were also compared, and a decrease in all pollutants through 2020 was found. The air quality index (AQI) recorded a low decrease of 3% post-COVID-19, which shows that air quality will worsen in the future, but it decreased by 16% during the active-COVID-19 period. A path analysis model was developed to further understand the relationship between the AQI and air quality patterns. This path analysis shows a strong correlation between the AQI and PM 10 and PM 2.5 , however, its correlation with other air pollutants is weak. Regression analysis shows a similar pattern

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Section: Daily Change In Air Pollutants Duringmentioning

confidence: 99%

A Pre- to Post-COVID-19 Change of Air Quality Patterns in Anhui Province Using Path Analysis and Regression

Bhatti¹,

Wu²,

Bazai³

et al. 2022

Pol. J. Environ. Stud.

Self Cite

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“…The ARDL model has been in use for decades to model the relationship between economic variables in a single-equation time-series setup. Its popularity also stems from the fact that the cointegration of nonstationary variables is equivalent to an error correction (EC) process, and the ARDL model has a reparameterization in EC form (Aamir et al, 2021). The existence of a long-run/cointegrated relationship can be tested, based on the EC representation.…”

Section: Ardl Modelmentioning

confidence: 99%

The Nexus Between CO2 Emission, Economic Growth, Trade Openness: Evidences From Middle-Income Trap Countries

Galvan

Bhatti²,

Campo³

et al. 2022

Front. Environ. Sci.

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In recent years, the carbon dioxide emissions generated by the massive consumption of fossil energy have been increasing year by year, resulting in more and more obvious greenhouse effect, and the occurrence of climate disasters around the world has become more and more frequent. This study analyses the long-term effects of economic growth, trade, foreign direct investment (FDI) and gross domestic product (GDP) on carbon dioxide (CO2) emissions in Latin American countries that are in the middle-income trap (MIT). Using annual time-series data for the period 2000–2020, the results of middle-income countries of Latin America are compared with higher-income countries (Singapore, the United States, and South Korea) and an upper-middle-income country, China. Specifically, we examine the role of sector value addition to GDP on the CO2 emission nexus for middle-income economies, controlling for the effects on GDP, FDI, and trade. Using regression and path analysis (multiple regression) we find that for higher-income countries FDI, GDP and trade are the important variables that have a strong positive impact on CO2 emission, but that positive impact is weak in MIT countries, which makes this study significant as it highlights important variables needed for MIT countries to remain focused. Autoregressive distributed lag (ARDL) model results also explore that FDI, GDP growth and trade variables can significantly accelerate the environmental quality by CO2 emission, while tourism/travel services and education do not much impact the environment. Hence, our paper provides solid ground for developing a sustainable and pro-growth policy for MIT countries because they are plagued by the decline or stagnation of economic growth.

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“…It is often difficult for analysts to use only one regression model (Aamir et al, 2021a). To analyze factors that affect farmers' participation in water markets and the extent of their buying and selling, Craig's double hurdle model was considered appropriate.…”

Section: Empirical Modelmentioning

confidence: 99%

Towards Sustainable Water Use: Factors Influencing Farmers’ Participation in the Informal Groundwater Markets in Pakistan

Razzaq

Xiao

Zhou

et al. 2022

Front. Environ. Sci.

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Informal groundwater markets have spontaneously developed in Pakistan due to the heterogeneity of farmers’ resource endowments, irrigation water shortages, and productivity gains of groundwater. Evidence shows that water allocation through formal or informal water markets can result in significant benefits for buyers and sellers and improve sustainable water use. Existing literature on water markets generally takes only buyers’ perspectives into account when studying the factors influencing the purchase of groundwater for irrigation. In contrast, we look at the perspectives of both buyers and sellers to investigate farmers’ participation in informal water markets. We conducted this study in the three agroecological zones of Punjab. The data was collected from a sample size of 360 farmers, with an equal proportion of water buyers, sellers, and self-users. Cragg’s double hurdle model was used to investigate the factors influencing the extent of water buying or selling. Results of the demand side analysis show that educated has negative correlation with water market participation and level of water purchasing. In addition, large farmers are less likely to buy water, indicating that the majority of farmers in water markets are smallholders. However, the degree of land fragmentation, soil fertility, and adoption of improved seeds each have may increase water market participation. Water cost and farmers’ family size has negative impact on level of water purchasing. The results of supply side analysis show that tubewell capacity, degree of land fragmentation, and the number of operational tubewells at a given farm have a positive relationship with the likelihood of selling water. When it comes to the amount of water sold, two factors that positively influence the extent of water selling are the income from water sales and the degree of land fragmentation. Finally, we discuss the implications of these results for sustainable water extraction in the water markets.

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Spatiotemporal Change of Air-Quality Patterns in Hubei Province—A Pre- to Post-COVID-19 Analysis Using Path Analysis and Regression

Cited by 45 publications

References 29 publications

A Pre- to Post-COVID-19 Change of Air Quality Patterns in Anhui Province Using Path Analysis and Regression

A Pre- to Post-COVID-19 Change of Air Quality Patterns in Anhui Province Using Path Analysis and Regression

The Nexus Between CO2 Emission, Economic Growth, Trade Openness: Evidences From Middle-Income Trap Countries

Towards Sustainable Water Use: Factors Influencing Farmers’ Participation in the Informal Groundwater Markets in Pakistan

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