Exploring the Effects of Renewable Energy, Energy Consumption, and Industrial Growth on Saudi Arabia’s Environmental Footprint: An Autoregressive Distributed Lag Analysis DOI Creative Commons
Mwahib Gasmelsied Ahmed Mohammed, Sufian Abdel-Gadir, Faizah Alsulami

и другие.

Energies, Год журнала: 2024, Номер 17(24), С. 6327 - 6327

Опубликована: Дек. 16, 2024

This study explores the long-run relationship among environmental footprint (EnF), renewable energy consumption, use, industrial growth, and urbanization in Saudi Arabia from 1990 to 2023, employing Autoregressive Distributed Lag (ARDL) model, alongside Fully Modified Ordinary Least Squares (FMOLS), Dynamic (DOLS), Canonical Cointegrating Regression (CCR) for robustness checks. Results indicate a significant long-term variables, with adoption emerging as crucial factor reducing carbon emissions. The ARDL bounds test confirms existence of cointegration, revealing dynamic interplay energy, economic sustainability. findings show that consumption significantly reduces (CO2 emissions), supporting Arabia’s Vision 2030 goals diversification sustainable development. However, expansion, while critical still contributes increased emissions, underscoring need further investment clean technologies. also highlights role urbanization, which, essential development, poses challenges Short-term dynamics, represented by Error Correction Model, fast adjustment speed toward equilibrium, deviations corrected approximately 52% each period. offers valuable insights policymakers aiming balance growth protection, emphasizing strategic investments efficiency. research understanding energy–economy–environment interactions oil-rich economies, providing foundation future studies explore impact advanced technologies policy interventions on development

Язык: Английский

Assessing the nonlinear impact of population aging on energy footprint: From the perspective of labor productivity and high‐quality economic development DOI
Xiyue Yang, Shixiong Cheng, Mahmood Ahmad

и другие.

Natural Resources Forum, Год журнала: 2024, Номер unknown

Опубликована: Июль 6, 2024

Abstract Amidst the ongoing low‐carbon transition, phenomenon of population aging is receiving increasing attention. Nevertheless, relationship between and environmental quality has not been conclusively established, existing studies have yet to delve into mechanism effect on energy quality. This paper utilizes panel data 30 Chinese provinces regions from 2000 2019 constructs benchmark model, nonlinear mediating effect, moderating models explore association footprint, respectively. Additionally, we develop a comprehensive index employing principal component analysis (PCA) measure footprint by carbon sink approach. The results show that with an inverted “U” shape there inflection point curve value 0.453. We also verify indirectly affects through its impact labor productivity, instantaneous 3.0902. Furthermore, high‐quality economic development “U”‐shape footprint. As level increases, flattens out, shifts left. Among five sub‐indicators development, green most significant These noteworthy findings offer valuable insights for formulating effective strategies enhance favorable effects multifaceted perspectives.

Язык: Английский

Процитировано

2

The degree of population aging and carbon emissions: Analysis of mediation effect and multi-scenario simulation DOI Creative Commons
Shuyu Li, Shun Jia, Yang Liu

и другие.

Journal of Environmental Management, Год журнала: 2024, Номер 367, С. 121982 - 121982

Опубликована: Июль 30, 2024

The continuous deepening of aging has posed new challenges for global sustainable development. Measuring the impact population on carbon emissions is crucial next stage climate governance. However, structural changes in social production and consumption make it difficult to evaluate effects. Therefore, this study constructed a bidirectional fixed Space Durbin Model explore mediating pathway aging's emissions. Furthermore, we have established high-precision prediction models simulate evolution trajectory under multi-factor driving scenarios. main findings are as follows: (1) process emission reduction due significant energy hindrance effect industrial structure effect, while growth constrained by enhancement technology progress labor participation effect. (2) moderating effects technological innovation 10.74% 10.24%, respectively, force relatively weak. (3) goodness fit MNGM-ARIMA MNGM-BPNN over 97%. Carbon high regions show decreasing trend all scenarios except consumption-driven scenario, medium low decrease slowly only R&D- supply-driven This advocates developing heterogeneous measures based degree aging, accelerating supply side upgrading, increasing proportion green consumption.

Язык: Английский

Процитировано

2

Conflict or Coordination? A Coupling Study of China’s Population–Urbanization–Ecological Environment DOI Creative Commons

Changxin Yang,

Qingmu Su, Jiajun Liang

и другие.

Applied Sciences, Год журнала: 2024, Номер 14(17), С. 7539 - 7539

Опубликована: Авг. 26, 2024

Whether the new type of urbanization implemented in China past decade has been effective regulating and balancing human development environmental protection remains to be verified. Therefore, this study develops a framework for assessing population-urbanization–ecological environment interactions by combining coupling coordination degree model decoupling index. Firstly, proposed establishes an indicator system population, economy, society, space, pressure, ecological governance, status, services based on two sets national census data; secondly, combines index comprehensively understand relationship population–urbanization–ecological across time space. Overall, contributes deepened understanding coupled provides scientific basis guidance urban–rural management balance between protection.

Язык: Английский

Процитировано

2

Natural resources utilization, digital technology, and green development expenditures can reduce environmental stress: A case study of emerging economies DOI
Junhui Li,

Guowei Li

Resources Policy, Год журнала: 2024, Номер 95, С. 105147 - 105147

Опубликована: Июль 4, 2024

Язык: Английский

Процитировано

1

Exploring the Effects of Renewable Energy, Energy Consumption, and Industrial Growth on Saudi Arabia’s Environmental Footprint: An Autoregressive Distributed Lag Analysis DOI Creative Commons
Mwahib Gasmelsied Ahmed Mohammed, Sufian Abdel-Gadir, Faizah Alsulami

и другие.

Energies, Год журнала: 2024, Номер 17(24), С. 6327 - 6327

Опубликована: Дек. 16, 2024

This study explores the long-run relationship among environmental footprint (EnF), renewable energy consumption, use, industrial growth, and urbanization in Saudi Arabia from 1990 to 2023, employing Autoregressive Distributed Lag (ARDL) model, alongside Fully Modified Ordinary Least Squares (FMOLS), Dynamic (DOLS), Canonical Cointegrating Regression (CCR) for robustness checks. Results indicate a significant long-term variables, with adoption emerging as crucial factor reducing carbon emissions. The ARDL bounds test confirms existence of cointegration, revealing dynamic interplay energy, economic sustainability. findings show that consumption significantly reduces (CO2 emissions), supporting Arabia’s Vision 2030 goals diversification sustainable development. However, expansion, while critical still contributes increased emissions, underscoring need further investment clean technologies. also highlights role urbanization, which, essential development, poses challenges Short-term dynamics, represented by Error Correction Model, fast adjustment speed toward equilibrium, deviations corrected approximately 52% each period. offers valuable insights policymakers aiming balance growth protection, emphasizing strategic investments efficiency. research understanding energy–economy–environment interactions oil-rich economies, providing foundation future studies explore impact advanced technologies policy interventions on development

Язык: Английский

Процитировано

1