Co-benefits of air pollution control and climate change mitigation strategies in Pakistan

Mir, Kaleem Anwar; Purohit, Pallav; Cail, Sylvain; Kim, Seungdo

doi:10.1016/j.envsci.2022.03.008

Cited by 38 publications

(23 citation statements)

References 37 publications

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“…The research content is mainly divided between the theoretical and practical fields. The common control theories are policy tool theory and synergistic control theory (Howlett and Ramesh, 2006), and governance practice mainly focuses on the strategies adopted by different countries and regions according to their respective atmospheric environment characteristics (Gulia et al, 2022;Mir et al, 2022;Cheng et al, 2023;Lopes et al, 2023). In recent years, as the concept of green and low-carbon has won support among the people (Yang et al, 2022;Yang et al, 2023), scholars have begun to attach importance to the governance of greenhouse gases.…”

Section: Gascmentioning

confidence: 99%

Driving factors and key paths of greenhouse gas and air pollutants synergistic control using hybrid multiple-criteria decision-making

Guo,

Li,

Xie

et al. 2024

Front. Environ. Sci.

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Humanity has consumed a large amount of energy and resources to maintain the rapid development of the economy and society, causing greenhouse gas and air pollutants to rise continuously, generating enormous pressures for the sustainable development of many cities. It is economical to control greenhouse gas and air pollutants from the synergy perspective. To identify the key driving factors involved in synergistic control, this paper uses the pressure-state-response (PSR) model to design a performance evaluation model of greenhouse gas and air pollutants synergistic control (GASC) utilizing pressure, state, and response dimensions. The performance evaluation factor system of GASC comprises three primary aspects and 18 criteria. The analytic hierarchy process (AHP) was used to determine the weight of each factor in the evaluation system. The technique for order preference by similarity to an ideal solution (TOPSIS) method was used to calculate the ranking of the synergistic control effects of the four representative provinces in China. We use Importance-performance analysis (IPA) to analyze the performance of driving factors of synergistic control in the province with the lowest ranking from 2016 to 2020. The research shows that in Northeast China, represented by Liaoning province, the government’s response should include changing the support strategy for the new energy consumer, introducing synergistic control standards and policies, and making flexible adjustments to the supply chain. The research provides a scientific basis for the performance evaluation of GASC and decision-making support for lean response strategies.

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Section: Gascmentioning

confidence: 99%

Driving factors and key paths of greenhouse gas and air pollutants synergistic control using hybrid multiple-criteria decision-making

Guo,

Li,

Xie

et al. 2024

Front. Environ. Sci.

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“…In addition, uncertainty analyses for total emissions of PM, SO 2 and NO X across 2015–2018 show that our estimates are more robust (with 95% confidence interval (CI) of [−0.2%, 0.1%]) relative to prior studies (with 95% CI of [−76.0%, 136.0%]) 10 , 13 , 38 – 42 ). This CEMS-based CIED dataset can be employed to conduct a more accurate analysis of overall, detailed and dynamic characteristics of industrial emissions, serve mitigation policy making for China, and offer insights for other countries looking to control industrial emissions 43 , 44 .…”

Section: Background and Summarymentioning

confidence: 99%

Chinese industrial air pollution emissions based on the continuous emission monitoring systems network

et al. 2023

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As the world’s largest industrial producer, China has generated large amount of industrial atmospheric pollution, particularly for particulate matter (PM), SO2 and NOx emissions. A nationwide, time-varying, and up-to-date air pollutant emission inventory by industrial sources has great significance to understanding industrial emission characteristics. Here, we present a nationwide database of industrial emissions named Chinese Industrial Emissions Database (CIED), using the real smokestack concentrations from China’s continuous emission monitoring systems (CEMS) network during 2015–2018 to enhance the estimation accuracy. This hourly, source-level CEMS data enables us to directly estimate industrial emission factors and absolute emissions, avoiding the use of many assumptions and indirect parameters that are common in existing research. The uncertainty analysis of CIED database shows that the uncertainty ranges are quite small, within ±7.2% for emission factors and ±4.0% for emissions, indicating the reliability of our estimates. This dataset provides specific information on smokestack concentrations, emissions factors, activity data and absolute emissions for China’s industrial emission sources, which can offer insights into associated scientific studies and future policymaking.

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“…Studies suggested that advanced standard precautions can improve the air quality once integrated with federal policies for sustainable development and positively impact public health by reducing GHGs emissions. Moreover, it also facilitates cutting down the cost of controlling measures by .032% of GDP by 2050 in Pakistan [22].…”

Section: Literature Reviewmentioning

confidence: 99%

A Study on Linkage between Global Warming Indicators and Climate Change Expenditure

Kaur

Tanwar²,

Kaur³

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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Purpose: The emissions of greenhouse gases (GHGs) have a critical influence on sustainable development and cause global warming, therefore contributing to climate change. National and international governments prioritize measures to mitigate global warming by funding green projects. The study aims to assess the relationship between global warming indicators (emission level of carbon dioxide, methane and greenhouse gas) and India’s climate change expenses incurred for employing renewable energy sources avenues nuclear power plants, efficient waste management, and transforming fuel-based technology with electricity-based to meet the extending electricity need. Methodology: The secondary data is taken from the World Bank to establish the causality between climate change expenditure and global warming indicators. The augmented dickey-fuller (unit root) test is performed to check the stationarity of the data series. Based on the validated data, the quantum of discharge of CO2, CH4 and GHGs is used to gauge the impact on climate change expenditure through Engle and Granger technique on e-views software. Findings: The results indicate a positive relationship between CO2, CH4, GHGs emissions and expenditure incurred to implement the mitigation strategies for climate change. The stationarity of the series is established at the first difference. Then regression model is determined through Engle-Granger Test, which depicts the model as a good fit with a 76% prediction level. Managerial implications: The study provides insight into the successive increase in climate change expenditure which requires the government to frame a more stringent policy to preserve the environment with proper implementation to reduce greenhouse gas emissions.

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Co-benefits of air pollution control and climate change mitigation strategies in Pakistan

Cited by 38 publications

References 37 publications

Driving factors and key paths of greenhouse gas and air pollutants synergistic control using hybrid multiple-criteria decision-making

Driving factors and key paths of greenhouse gas and air pollutants synergistic control using hybrid multiple-criteria decision-making

Chinese industrial air pollution emissions based on the continuous emission monitoring systems network

A Study on Linkage between Global Warming Indicators and Climate Change Expenditure

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