Pricing and investment in manufacturing and logistics when environmental reputation matters DOI
Elena Parilina, Fanjun Yao, Georges Zaccour

и другие.

Transportation Research Part E Logistics and Transportation Review, Год журнала: 2024, Номер 184, С. 103468 - 103468

Опубликована: Фев. 26, 2024

Язык: Английский

How do low-carbon city pilots affect carbon emissions? Staggered difference in difference evidence from Chinese firms DOI

Xiang Hou,

Qianlin Hu, Xin Liang

и другие.

Economic Analysis and Policy, Год журнала: 2023, Номер 79, С. 664 - 686

Опубликована: Июнь 21, 2023

Язык: Английский

Процитировано

72

Associating environmental quality, human capital, financial development and technological innovation in 19 middle-income countries: A disaggregated ecological footprint approach DOI
Cengiz Aytun, Sinan Erdoğan, Uğur Korkut Pata

и другие.

Technology in Society, Год журнала: 2023, Номер 76, С. 102445 - 102445

Опубликована: Дек. 12, 2023

Язык: Английский

Процитировано

67

Digital transformation of enterprises under the pressure of air pollution DOI
Qiang Lu, Yun Shen, Kangkang Yu

и другие.

Applied 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

24

Role of economic complexity and government intervention in environmental sustainability: Is decentralization critical? DOI
Munir Ahmad, Elma Šatrović

Journal of Cleaner Production, Год журнала: 2023, Номер 418, С. 138000 - 138000

Опубликована: Июль 6, 2023

Язык: Английский

Процитировано

29

Digital Transformation and Synergistic Reduction in Pollution and Carbon Emissions——An Analysis from a Dynamic Capability Perspective DOI

Yu Chong,

Yun Zhang,

Danyang Di

и другие.

Environmental Research, Год журнала: 2024, Номер 261, С. 119683 - 119683

Опубликована: Авг. 3, 2024

Язык: Английский

Процитировано

9

Impact of biased technological progress on the total factor productivity of China's manufacturing industry: The driver of sustainable economic growth DOI
Yi Qiu,

Wanwan Han,

Di Zeng

и другие.

Journal of Cleaner Production, Год журнала: 2023, Номер 409, С. 137269 - 137269

Опубликована: Апрель 22, 2023

Язык: Английский

Процитировано

19

Spatio-temporal evaluation of air pollution using ground-based and satellite data during COVID-19 in Ecuador DOI Creative Commons
Danilo Mejía,

Gina Faican,

Rasa Žalakevičiūtė

и другие.

Heliyon, 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

8

Can China's carbon intensity constraint policies improve carbon emission performance? Evidence from regional carbon emissions DOI

Xin Miao,

Enhui Feng,

Yim Ling Siu

и другие.

Journal of Environmental Management, Год журнала: 2023, Номер 348, С. 119268 - 119268

Опубликована: Окт. 12, 2023

Язык: Английский

Процитировано

16

A neural network-based measurement of corporate environmental attention and its impact on green open innovation: Evidence from heavily polluting listed companies in China DOI

Shutter Zor

Journal of Cleaner Production, Год журнала: 2023, Номер 432, С. 139815 - 139815

Опубликована: Ноя. 20, 2023

Язык: Английский

Процитировано

15

The localization of SDGs in China: System construction, status assessment and development reflection DOI Creative Commons
Zhigao Hu, Qi Wu, Jing Li

и другие.

Ecological 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

14