Measurement of China's provincial consumption-based PM2.5 emissions and its influencing factors in the perspective of spatial heterogeneity

Wang, Lu; Sun, Han; Hu, Xueyuan; Leng, Zhihui; Zha, Zhiyun; Zhang, Zichen; Yang, Jiayi

doi:10.1016/j.jclepro.2021.128367

Cited by 15 publications

(7 citation statements)

References 40 publications

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“…Lastly URB and IND positively influence CO2 and CH4, which suggest that they both increase CO2 and CH4 in BRICS. This findings support the debate on environmental quality and its consequences for ECG(Ali et al, 2024;Hoa et al, 2023;Yang et al, 2023;Nong et al, 2021).These results underscore the importance of tailoring environmental policies and strategies to the specific context of BRICS region. While R&D, PAT, ECG, REC, RIF, and CAT play critical roles in obtaining CAN in the BRICS region, environmental quality policies become more prominent in these countries.…”

supporting

confidence: 83%

“…Also, private sector investment in R&D is essential and has helped BRICS businesses and the individuals to accelerate the reduction of CH4 n BRICS (Yang et al, 2023;Caprarulo et al, 2022).…”

Section: The Impact Of Innovation (Randd and Pat) On Co2 And Methane ...mentioning

confidence: 99%

“…This implies that a change in PAT does not affect CAN agenda in BRICS when CH4 is involved. Policymakers may need to explore more tailored approaches or consider additional measures to effectively address PAT concern when addressing CH4 issues (Yang et al, 2023).…”

Section: The Impact Of Innovation (Randd and Pat) On Co2 And Methane ...mentioning

confidence: 99%

“…Innovation (INN), economic growth (ECG), and renewable energy (REE) have therefore received more attention, and these have emerged as crucial stages for nations with resource-and high emissions (Basty & Ghachem, 2023;Tolliver et al, 2021). Also, among the non-CO2 greenhouse gases, methane emissions (CH4) makes up the largest portion of emissions (20%) of all greenhouse gasses, causing more than 80 times global warming larger than carbon dioxide during a 20-year period, making it the second highest contributor to global warming after CO2 (Yang, et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

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Achieving Carbon Neutrality in the Brics Countries: the Roles of Innovation, Renewable Energy, Economic Growth and Carbon Taxes

Gyedu,

Tang

2024

Preprint

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In order to reach the carbon neutrality (CAN) target, this current study examined the roles of research and development (R&D), patent (PAT), economic growth (ECG), renewable energy consumption (REC), renewable internal freshwater (RIF) and carbon taxes (CAT) in achieving CAN from BRICS perspective. We employed panel data of BRICS countries from 2000 to 2020 with second-generational econometric estimators (AMG and CCEMG). We discovered that R&D, RIF and CAT promote CAN by mitigating carbon emissions (CO2) and methane emissions (CH4). Our findings indicated REC contributes massively in achieving CAN. ECG was found to initially delays CAN objective. We detected Environmental Kuznets Curve (EKC) in BRICS. URB and IND also had controlling influence by prolonging CAN agenda. The authors found a feedback mechanism from ECG, REC, RIF, CAT to CO2, and from R&D, REC, RIF, CAT and URB to CH4 in BRICS, indicating that R&D, ECG, REC, RIF, and CAT granger cause to CAN and vice versa. Finally, based on the country-wise details analysis of the variables, China recorded the highest CO2, CH4, ECG and PAT, India had the highest R&D, Brazil the highest REC, and Russia the highest RIF and CAT.

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supporting

confidence: 83%

Section: The Impact Of Innovation (Randd and Pat) On Co2 And Methane ...mentioning

confidence: 99%

Section: The Impact Of Innovation (Randd and Pat) On Co2 And Methane ...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Achieving Carbon Neutrality in the Brics Countries: the Roles of Innovation, Renewable Energy, Economic Growth and Carbon Taxes

Gyedu,

Tang

2024

Preprint

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“…Under the framework of urban scaling law, this study revealed that the cities in high-value clusters of ∆SAMI were not commonly thought of as economic-developed mega cities with a greater spotlight (i.e., Beijing and Shanghai) or as underdeveloped small cities. Instead, they were primarily medium-sized cities located in CE and EA (Figures 6 and A2), which presented relatively intensified pollution risk potential along with their urbanization process but have not received sufficient attention in previous PM2.5 related studies [76][77][78]. (BA), landscape form, and spatial location; Wang, Yao [33] also reported that demographic/industrial structures in different cities could also contribute to differences in the core drivers of local PM2.5 pollution risks-not to mention the direct impact of natural factors with distinct geographical characteristics, e.g., climate, topography, and land cover, etc., on the spatial heterogeneities of air pollution risk [30,41,74,75].…”

Section: Does Urbanization Still Matter?mentioning

confidence: 99%

Examining the Potential Scaling Law in Urban PM2.5 Pollution Risks along with the Nationwide Air Environmental Effort in China

Yao

et al. 2022

IJERPH

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Urban scaling law provides a quantitative understanding of the fundamental nonlinear properties of how cities work. Addressing this, this study intended to examine the potential scaling law that may lie in urban air pollution. With ground-monitored PM2.5 data and statistical socioeconomic factors in 265 Chinese cities (2015–2019), a targeted analysis, based on the scaling power-law model and scale-adjusted metropolitan indicator (SAMI) was conducted. The main findings of this study were summarized as follows: (1) A significant sublinear scaling relationship between PM2.5 and urban population size indicated that air quality degradation significantly lagged behind urban growth, affirming the remarkable effectiveness of national efforts on atmospheric environment improvement. (2) SAMI analysis expressed the relative conflict risk between PM2.5 pollution and urbanization and showed significant spatial cluster characteristics. Cities in central China showed higher potential risk than other regions, and there was a clear southward tendency for the city clusters with increasing SAMIs during the study period. (3) During the study period, urbanization was not the reason affecting the human-land conflict in terms of air pollution. This study is significant in that it marked the first innovative incorporation of the scaling law model into an urban environmental risk study. It also offered a new perspective from which to reframe the urban PM2.5 pollution risk, along with the nationwide air environmental effort in China, which will benefit future research on multi-types of urban environmental issues.

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Central Plains Megalopolis: A Hub for Green Transformation and Development Beyond Just the Beijing-Guangzhou Channel

Cheshmehzangi

Tang

2022

China’s City Cluster Development in the Race to Carbon Neutrality

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Measurement of China's provincial consumption-based PM2.5 emissions and its influencing factors in the perspective of spatial heterogeneity

Cited by 15 publications

References 40 publications

Achieving Carbon Neutrality in the Brics Countries: the Roles of Innovation, Renewable Energy, Economic Growth and Carbon Taxes

Achieving Carbon Neutrality in the Brics Countries: the Roles of Innovation, Renewable Energy, Economic Growth and Carbon Taxes

Examining the Potential Scaling Law in Urban PM2.5 Pollution Risks along with the Nationwide Air Environmental Effort in China

Central Plains Megalopolis: A Hub for Green Transformation and Development Beyond Just the Beijing-Guangzhou Channel

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