How does digital government affect carbon intensity at the global level? New perspective of resource allocation optimization

Resources Policy, Journal Year: 2024, Volume and Issue: 94, P. 105108 - 105108

Published: May 30, 2024

Language: Английский

---

Does government environmental attention drive green total factor productivity? Evidence from China

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 366, P. 121766 - 121766

Published: July 9, 2024

Language: Английский

---

Does public satisfaction with government environmental performance promote their participation in environmental protection?

Socio-Economic Planning Sciences, Journal Year: 2025, Volume and Issue: unknown, P. 102161 - 102161

Published: Jan. 1, 2025

Language: Английский

---

Impact of dual-carbon attention competition from local government on regional carbon emissions in China

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 374, P. 124064 - 124064

Published: Jan. 13, 2025

Language: Английский

---

Digital Supervision in Construction Pollution Control: Utilizing Advanced Information Models for Enhanced Supervision and Sustainability

Environmental Technology & Innovation, Journal Year: 2025, Volume and Issue: unknown, P. 104038 - 104038

Published: Jan. 1, 2025

Language: Английский

---

Assessing the role of public, media, and government attention on air pollution governance in China

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 113, P. 105681 - 105681

Published: July 19, 2024

Language: Английский

---

Intra-rural inequality of diet-related carbon footprint in China

Environmental Impact Assessment Review, Journal Year: 2024, Volume and Issue: 106, P. 107483 - 107483

Published: March 6, 2024

Language: Английский

---

Digital Transformation and Urban Green Development: Evidence from China’s Data Factor Marketization

Sustainability, Journal Year: 2024, Volume and Issue: 16(11), P. 4511 - 4511

Published: May 26, 2024

Data are the core element of digital transformation. factor marketization (DFM) is critical in process transformation, which promotes urban green development. This paper analyzes role digitization environmental sustainability. We investigate effects DFM on pollution (EP) using a difference-in-differences approach and data from 283 cities China 2006 to 2019. The findings reveal that implementing demonstrate an average reduction EP 2.67%. mechanism behind lowering involves fostering innovation, increasing public awareness issues, attracting IT professionals, optimizing industrial structure, enhancing finance capabilities. Large cities, south, those not primarily dependent natural resources exhibit more pronounced through DFM. Implementing policies related infrastructure protection intellectual property rights further amplifies effect reducing pollution. Additionally, this exhibits spatial spillover effects. study contributes existing literature by (1) demonstrating DFM’s improving quality technology market mechanisms, thereby aligning economic growth with ecological sustainability; (2) emphasizing importance engagement stewardship increased community participation policymaking, as well social inclusion conservation; (3) effects, inter-city collaboration policies, advocating for comprehensive strategies achieve broader improvements across areas.

Language: Английский

---

Life makes cities greener: The impact of dual-policy of China in urban transformation on residents' green lifestyles

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 365, P. 121469 - 121469

Published: July 1, 2024

Language: Английский

---

Discriminating the non-coordination between ecosystem service value and economic development and its spatial characteristics in central Yunnan urban agglomeration in the recent 30 years

Frontiers in Ecology and Evolution, Journal Year: 2024, Volume and Issue: 12

Published: Feb. 20, 2024

Environmental issues have become one of the important topics affecting China and world. As world’s most populous country second-largest economy, China’s environmental conditions significant impacts on global ecosystems sustainable development. To accurately determine relationship between economic development environment, explore non-coordination spatial characteristics two, promote regional This study is based land-use data from four periods: 1990, 2000, 2010, 2020. It uses dynamic measurement value equivalent method to changes measure ecosystem services in Central Yunnan Urban Agglomeration. At same time, degree model hotspot analysis tools identify Ecosystem Service Value (Gross Domestic Product), them. The research results show that: (1) main types include cultivated land, forest grassland, which account for more than 90% total proportion. land with a small proportion region are water areas, construction unused land. (2) level service presents changes: fluctuating increase, decrease, continuous decrease. distribution shows obvious heterogeneity, overall presenting pattern “low middle, high around.” (3) average index 1990 2020 0.591, 0.635, 0.584, 0.565, showing coordinated coupling type. space “high central western regions, low northeastern southern regions.” (4) hotspots mainly concentrated northwest regions Agglomeration, while coldspots distributed northeastern, western, regular agglomeration distribution. suggests that it necessary balance coordinate environment.

Language: Английский

---