Economic Analysis and Policy, Год журнала: 2023, Номер 78, С. 597 - 617
Опубликована: Апрель 3, 2023
Язык: Английский
Economic Analysis and Policy, Год журнала: 2023, Номер 78, С. 597 - 617
Опубликована: Апрель 3, 2023
Язык: Английский
Innovation and Green Development, Год журнала: 2023, Номер 2(4), С. 100085 - 100085
Опубликована: Июнь 27, 2023
Global warming and climate change are caused by anthropogenic greenhouse gas (GHG) emissions from rising energy consumption due to population economic growth. Over the past decade, information communication technology (ICT) usage has increased which may increase utilization GHG emissions. Conversely, ICT's clean technologies can minimize pollution. Therefore, this study investigated dynamic influences of ICT, growth, population, use on in Malaysia employing autoregressive distributed lag (ARDL) approach using data 1990 2021. The results ARDL bounds test indicated existence a long-run link between variables. revealed that 1% number Internet users could 0.013% short run but cut 0.077% long run. Additionally, have positive association with robustness outcomes been checked Fully Modified Ordinary Least Squares (FMOLS), Dynamic (DOLS), Canonical Cointegration Regression (CCR) methods. This article offers additional policy proposals for emission reduction sustainable development promoting renewable financing green ICT.
Язык: Английский
Процитировано
63Resources Policy, Год журнала: 2023, Номер 85, С. 103981 - 103981
Опубликована: Авг. 1, 2023
Язык: Английский
Процитировано
61Journal of Environmental Management, Год журнала: 2023, Номер 340, С. 117912 - 117912
Опубликована: Апрель 22, 2023
Язык: Английский
Процитировано
60Ecological Indicators, Год журнала: 2023, Номер 148, С. 110105 - 110105
Опубликована: Март 8, 2023
Elucidating the response mechanism of variation in vegetation trend to determinant is great value environmental resource management, particularly significant ecologically fragile area. The Liaohe River Basin (LRB) a key part eco-security China, which has experienced apparent climatic variations and intensified human activities recent decades. Yet, it still remains not clear about drivers shaping spatio-temporal patterns growth. Here, normalized difference index (NDVI) was utilized investigate coverage from 2000 2019. Then, we incorporated partial derivatives analysis conduct attribution analyses greening light meteorological data. prime findings are as follows: (1) LRB presented growing state 20 years at rate 0.0031/a, with spatial temporal heterogeneity due its slope; (2) results showed that average contribution precipitation, temperature, solar radiation NDVI changes 0.00205/a, 0.00008/a, −0.00028/a, respectively. (3) change played most dominant role influencing result relative contributions 59.68% (40.32% contributed by anthropogenic activities); (4) LULC dynamics were characterized an increase forest land large-scale ecological afforestation projects, coverage. Conversely, urbanization adversely affected variations. Understanding this study expected offer further scientific support practical implications for monitoring local status.
Язык: Английский
Процитировано
55Economic Analysis and Policy, Год журнала: 2023, Номер 78, С. 597 - 617
Опубликована: Апрель 3, 2023
Язык: Английский
Процитировано
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