Transportation Research Part E Logistics and Transportation Review, Год журнала: 2024, Номер 184, С. 103468 - 103468
Опубликована: Фев. 26, 2024
Язык: Английский
Transportation Research Part E Logistics and Transportation Review, Год журнала: 2024, Номер 184, С. 103468 - 103468
Опубликована: Фев. 26, 2024
Язык: Английский
Economic Analysis and Policy, Год журнала: 2023, Номер 79, С. 664 - 686
Опубликована: Июнь 21, 2023
Язык: Английский
Процитировано
72Technology in Society, Год журнала: 2023, Номер 76, С. 102445 - 102445
Опубликована: Дек. 12, 2023
Язык: Английский
Процитировано
67Applied Economics, Год журнала: 2024, Номер unknown, С. 1 - 18
Опубликована: Авг. 5, 2024
Although the effects of air pollution on economics have been reflected in recent research, very little literature has explored whether enterprises are actively adopting digital transformation under pressure pollution. Considering serious China and importance transformation, this study uses panel data Chinese A-share listed companies quality data, from 2014 to 2020, investigate impact transformation. The results show that forces engage conclusion still holds after endogeneity robustness tests. Further, a mechanism analysis indicates affects through green cognition, innovation, government subsidies. Meanwhile, regional informatization positively moderates relationship between three mechanisms. Finally, heterogeneity shows significantly eastern regions, state-owned, capital-intensive, technology-intensive enterprises.
Язык: Английский
Процитировано
24Journal of Cleaner Production, Год журнала: 2023, Номер 418, С. 138000 - 138000
Опубликована: Июль 6, 2023
Язык: Английский
Процитировано
29Environmental Research, Год журнала: 2024, Номер 261, С. 119683 - 119683
Опубликована: Авг. 3, 2024
Язык: Английский
Процитировано
9Journal of Cleaner Production, Год журнала: 2023, Номер 409, С. 137269 - 137269
Опубликована: Апрель 22, 2023
Язык: Английский
Процитировано
19Heliyon, Год журнала: 2024, Номер 10(7), С. e28152 - e28152
Опубликована: Март 21, 2024
The concentration of gases in the atmosphere is a topic growing concern due to its effects on health, ecosystems etc. Its monitoring commonly carried out through ground stations which offer high precision and temporal resolution. However, countries with few stations, such as Ecuador, these data fail adequately describe spatial variability pollutant concentrations. Remote sensing have great potential solve this complication. This study evaluates spatiotemporal distribution nitrogen dioxide (NO2) ozone (O3) concentrations Quito Cuenca, using obtained from ground-based Sentinel-5 Precursor mission sources during years 2019 2020. Moreover, Linear Regression Model (LRM) was employed analyze correlation between satellite datasets, revealing positive associations for O3 (R2 = 0.83, RMSE 0.18) NO2 0.25) Quito; 0.74, 0.23) NO2, 0.73, Cuenca. agreement datasets analyzed by employing intra-class coefficient (ICC), reflecting good them (ICC ≥0.57); Bland Altman coefficients, showed low bias that more than 95% differences are within limits agreement. Furthermore, investigated impact COVID-19 pandemic-related restrictions, social distancing isolation, atmospheric conditions. categorized into three periods 2020: before (from January 1st March 15th), 16th May 17th), after 18th December 31st). A 51% decrease recorded while experienced 14.7% decrease. tropospheric column decreased 27.3% Cuenca 15.1% Quito. an increasing trend, rising 0.42% 0.11% respectively, 14.4%. increase 10.5%. Finally, reduction chemical species consequence mobility restrictions highlighted. compared station Despite differing units preventing validation, it verified Sentinel-5P satellite's effectiveness anomaly detection. Our research's value lies applicability developing countries, may lack extensive networks, demonstrating use technology urban planning.
Язык: Английский
Процитировано
8Journal of Environmental Management, Год журнала: 2023, Номер 348, С. 119268 - 119268
Опубликована: Окт. 12, 2023
Язык: Английский
Процитировано
16Journal of Cleaner Production, Год журнала: 2023, Номер 432, С. 139815 - 139815
Опубликована: Ноя. 20, 2023
Язык: Английский
Процитировано
15Ecological Indicators, Год журнала: 2023, Номер 154, С. 110514 - 110514
Опубликована: Июнь 22, 2023
To evaluate China's sustainable development level, it is necessary to integrate the United Nations Sustainable Development Goals (SDGS) into indicators reflecting issues with Chinese characteristics after localization. Based on national conditions, SDGS are specified in context, and integrated problems degree of China. Results show that: first, overall trend level positive, but mainly increased by system coordination degree. The sustainability decline sent a danger signal future development. Second, pace different regions quite different, overall, there step-type differentiation between east regions, central west regions. Beijing Shenzhen highest Third, line characteristic conditions index "U" shaped. As for series accompanying construction socialism characteristics, attention them its ability solve have changed qualitatively around 2007. this, paper puts forward suggestions
Язык: Английский
Процитировано
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