
Research Square (Research Square), Год журнала: 2024, Номер unknown
Опубликована: Авг. 12, 2024
Язык: Английский
Research Square (Research Square), Год журнала: 2024, Номер unknown
Опубликована: Авг. 12, 2024
Язык: Английский
Journal of Environmental Management, Год журнала: 2024, Номер 365, С. 121545 - 121545
Опубликована: Июнь 24, 2024
Язык: Английский
Процитировано
9Environmental Science and Pollution Research, Год журнала: 2024, Номер 31(14), С. 21811 - 21828
Опубликована: Фев. 24, 2024
Язык: Английский
Процитировано
3The Annals of Regional Science, Год журнала: 2025, Номер 74(1)
Опубликована: Март 1, 2025
Язык: Английский
Процитировано
0Discover Sustainability, Год журнала: 2025, Номер 6(1)
Опубликована: Март 17, 2025
Язык: Английский
Процитировано
0Economic Annals, Год журнала: 2025, Номер 70(244), С. 7 - 33
Опубликована: Янв. 1, 2025
Modern economic growth has led to increased levels of international trade, large-scale industrialisation, and major technological advancements, resulting in substantial negative externalities on a global scale. Among these, environmental degradation emerged as significant public bad. Balancing objectives while addressing challenges remains critical issue for modern society. This study examines the relationship between across 33 OECD countries during period 1996-2015, employing fixed effects model with Driscoll-Kraay standard error estimation approach. The analysis reveals an inverted N-shaped CO? emissions, contradicting conventional Kuznets curve theory. results also show that renewable energy consumption stronger institutional quality help reduce non-renewable higher industrial activity have opposite effect.
Язык: Английский
Процитировано
0Cities, Год журнала: 2025, Номер 162, С. 105958 - 105958
Опубликована: Апрель 7, 2025
Язык: Английский
Процитировано
0Applied Energy, Год журнала: 2025, Номер 393, С. 126121 - 126121
Опубликована: Май 20, 2025
Язык: Английский
Процитировано
0Frontiers in Environmental Science, Год журнала: 2025, Номер 13
Опубликована: Май 23, 2025
Financial inclusion (FI) and technological innovation (TI) are pivotal in advancing SDG 13 (Climate Action) by enabling access to sustainable solutions promoting low-carbon technologies. FI allows marginalized communities businesses invest renewable energy (RE) energy-efficient technologies, while TI drives the development of clean CO 2 emissions (CO E) reducing innovations. Together, they empower societies take significant action against climate change, fostering a global transition economy helping achieve targets 13. Previous studies have focused exclusively on impact either or E China under N-shaped Environmental Kuznets Curve (EKC). To address this gap, current study examines combined effects within EKC framework for Chinese economy. This utilizes Autoregressive Distributed lag (ARDL), fully Modified ordinary least square (FMOLS), Dynamic (DOLS) methods using time series quarterly data from 2006Q1 2022Q4. The ARDL long-run short-run results confirm that there is an inverted between GDP E. While FI, TI, RE negative has several policy recommendations policymakers promote environmental sustainability China.
Язык: Английский
Процитировано
0Remote Sensing, Год журнала: 2024, Номер 16(10), С. 1714 - 1714
Опубликована: Май 11, 2024
A systematic analysis of the spatiotemporal evolution patterns and factors influencing ecological land (EL) can support optimization EL protection policies ensure stability regional ecosystems. Based on remote sensing data, using gravity center shift model, landscape pattern index, equivalent factor method, characteristics in Beijing–Tianjin–Hebei (BTH) region from 1980 to 2020 were analyzed. fixed-effects model was used quantitatively explore heterogeneity analysis. The results are as follows: (1) area exhibited a trend initial decrease followed by subsequent increase during study period. most significant transfer occurred between cropland EL, but, after 21st century, proportion construction noticeably increased. (2) compactness fragmentation showed certain stability, but spatial distribution hot cold spots differences. mainly displayed strip distribution, while those clustered distribution. (3) Although ecosystem service value BTH demonstrated dynamic “M”-shaped changes, still stability. Regulating services consistently occupied higher sub-service functions, cultural needed further enhancement. (4) Factors areas values similarities. significantly influenced land, showing non-linear “U”-shaped relationship with fragmentation. Different economic development gradients altitudes differentiated terms their factors. This provides scientific for dynamically precisely adjusting governmental management policies, contributing sustainable socio-economics.
Язык: Английский
Процитировано
2Environment Development and Sustainability, Год журнала: 2024, Номер unknown
Опубликована: Ноя. 16, 2024
Язык: Английский
Процитировано
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