Resources Policy, Год журнала: 2023, Номер 86, С. 104203 - 104203
Опубликована: Окт. 1, 2023
Язык: Английский
Resources Policy, Год журнала: 2023, Номер 86, С. 104203 - 104203
Опубликована: Окт. 1, 2023
Язык: Английский
International Journal on Interactive Design and Manufacturing (IJIDeM), Год журнала: 2024, Номер 18(6), С. 3633 - 3680
Опубликована: Март 14, 2024
Язык: Английский
Процитировано
16Frontiers in Environmental Science, Год журнала: 2025, Номер 13
Опубликована: Фев. 28, 2025
This study investigates the key factors influencing CO 2 emissions in state of Haryana from 2005 to 2023, focusing on economic and demographic determinants. Understanding relationship between growth, population dynamics, environmental impact is crucial for formulating effective sustainable development policies. The employs a comprehensive dataset where serve as dependent variable, while Net State Domestic Product (NSDP) at constant prices, square NSDP, life expectancy act independent variables. To ensure robust analysis, stationarity tests are conducted assess data properties, followed by Dynamic Ordinary Least Squares (DOLS) Canonical Cointegration Regression explore long-run relationships among these Empirical findings indicate positive statistically significant emissions, suggesting that expansion increase drive higher emissions. Conversely, exhibits negative association with implying improvements public health longevity may contribute reduced results highlight challenges posed emphasizing need balanced policy measures align progress sustainability goals. unexpected underscores complex interplay socioeconomic sustainability, warranting further investigation.
Язык: Английский
Процитировано
2Ecohydrology & Hydrobiology, Год журнала: 2024, Номер unknown
Опубликована: Июль 1, 2024
Язык: Английский
Процитировано
8Nature Communications, Год журнала: 2025, Номер 16(1)
Опубликована: Янв. 31, 2025
Countries have pledged commitment to the 2030 Sustainable Development Goal (SDGs) and Paris Agreement combat climate change. To maximize synergies between SDGs actions (CAs), we evaluate alignment of national emissions reduction targets by comparing action plans embodied in Voluntary National Review (VNR) reports Nationally Determined Contributions (NDCs) across 67 countries. An Artificial Intelligence (AI)-based approach is proposed this study explore interconnectedness applying machine learning classifier natural language processing. Middle- low-income countries with high tend low NDC contain similar information VNR reports. High-income show less their NDCs VNRs. The economic status found be connected alignment. Here, demonstrate utility promise using AI techniques unravel interactions CA SDG.
Язык: Английский
Процитировано
1Resources Policy, Год журнала: 2023, Номер 86, С. 104219 - 104219
Опубликована: Окт. 1, 2023
Язык: Английский
Процитировано
15Decision Analytics Journal, Год журнала: 2023, Номер 8, С. 100309 - 100309
Опубликована: Авг. 25, 2023
This study presents a production inventory model where demand is considered function of the average consumption perishable products by diabetic population. Food are generally subject to spoilage over time, and various preservation technologies used keep them in good condition longer. It also important consider carbon emissions through transportation, production, storage food spoilage. Various green strategies can under control industry. proposes an optimal considering factors for deterioration. A comparison between different cases shown decide minimum total cost. Numerical examples validating models sensitivity analysis provided.
Язык: Английский
Процитировано
14Economic Change and Restructuring, Год журнала: 2024, Номер 57(2)
Опубликована: Фев. 17, 2024
Язык: Английский
Процитировано
3International Journal on Interactive Design and Manufacturing (IJIDeM), Год журнала: 2024, Номер unknown
Опубликована: Апрель 16, 2024
Язык: Английский
Процитировано
3Humanities and Social Sciences Communications, Год журнала: 2024, Номер 11(1)
Опубликована: Май 30, 2024
Abstract This scholarly investigation scrutinizes the involvement of private sector in environmentally sustainable projects, employing cross-sectional autoregressive distributed lag methodology on yearly data spanning from 2000 to 2020 across 11 low and lower-middle-income Asian nations. It specifically assesses influence good governance index. Findings indicate a notable correlation, where 1% enhancement index corresponds 0.34% increase engagement green projects short term 0.64% long term. The study underscores significance economic stability; escalation uncertainty leads 0.56% 0.73% long-term reduction participation. driving role gross domestic product growth proliferation small medium-sized enterprises, emphasizing necessity for tailored financial instruments stimulate investment projects. Moreover, it explores practical policy avenues such as e-government services, information communication technology-driven digital transformation, corporate governance, issuance state-backed bonds foster private-sector participation eco-friendly initiatives. Future research encompass examining repercussions pandemic investments evaluating efficacy public-private partnership model these economies.
Язык: Английский
Процитировано
3Journal of Chemical Education, Год журнала: 2025, Номер unknown
Опубликована: Фев. 10, 2025
Язык: Английский
Процитировано
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