Environment Development and Sustainability, Journal Year: 2024, Volume and Issue: unknown
Published: Dec. 24, 2024
Language: Английский
Environment Development and Sustainability, Journal Year: 2024, Volume and Issue: unknown
Published: Dec. 24, 2024
Language: Английский
Materials Today Sustainability, Journal Year: 2025, Volume and Issue: unknown, P. 101090 - 101090
Published: Feb. 1, 2025
Language: Английский
Citations
1Frontiers in Environmental Science, Journal Year: 2025, Volume and Issue: 13
Published: Feb. 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.
Language: Английский
Citations
0Economics, Journal Year: 2025, Volume and Issue: 19(1)
Published: Jan. 1, 2025
Abstract In recent decades, the rising challenges posed by climate change have prompted investors to take a keen interest in green assets and incorporate them into their portfolios achieve optimal returns. Therefore, this article explores static dynamic connectedness between renewable energy stocks (solar, wind, geothermal), cryptocurrencies (Stellar, Nano, Cardona, IOTA), agricultural commodities (wheat, cocoa, coffee, corn, cotton, sugar, soybean) using TVP-VAR (time-varying parameter vector autoregression) framework offering novel empirical evidence for portfolio managers. The is examined across two distinct sub-samples: during COVID-19 post-COVID-19 times. Because relevant can implications diversification benefits, we proceed with computation of weights, hedge ratios, effectiveness DCC-GARCH model. main findings are as follows: We first find that particularly Cardona Stellar exhibit highest spillovers network wind stock has least other markets. Second, NET spillover indices reveal coffee consistently net receivers over entire period except beginning pandemic. Third, diverse positions implying impact pandemic varied significantly sectors. Finally, commodity depicts greater weights under scoring benefit diversified consisting agriculture assets.
Language: Английский
Citations
0Sustainable Futures, Journal Year: 2024, Volume and Issue: unknown, P. 100352 - 100352
Published: Oct. 1, 2024
Language: Английский
Citations
3Environmental Research Communications, Journal Year: 2024, Volume and Issue: 6(11), P. 115032 - 115032
Published: Nov. 1, 2024
Abstract This paper provides a comprehensive analysis of the nexus between economic growth and environmental degradation, with specific focus on carbon dioxide (CO 2 ) emissions. It leverages dataset spanning from 1991 to 2021, encompassing all 12 member nations Shanghai Cooperation Organization (SCO). The investigation includes wide array statistical examinations, such as stationarity tests, cross-section dependence, co-integration analysis. Johansen Fisher Panel test is employed reveal long-term correlations variables. Furthermore, adopts Dumitrescu Hurlin panel causality model, which accommodates variations in causal relationships across different countries. Additionally, study analyses asymmetric impact GDP emissions various quantiles using quantile regression. findings this research yield valuable insights, highlighting significant positive correlation CO emissions, suggesting that higher income levels are associated greater pollution. However, also illuminates more intricate scenarios, those characterized by inverted U-shaped N-shaped Environmental Kuznets Curve (EKC) patterns, revealed through DOLS estimations. These estimations consider FDI, inflation, industrialization control delves into Pollution Haven Hypothesis examines interaction effects FDI other considered insights contribute deeper understanding complex dynamics within SCO nations.
Language: Английский
Citations
1Social Sciences & Humanities Open, Journal Year: 2024, Volume and Issue: 11, P. 101242 - 101242
Published: Dec. 12, 2024
Language: Английский
Citations
0Environment Development and Sustainability, Journal Year: 2024, Volume and Issue: unknown
Published: Dec. 24, 2024
Language: Английский
Citations
0