Utilizing the load capacity curve (LCC) hypothesis within an autoregressive distributed lag (ARDL) model framework, this study investigates the implications of trade openness (TO), renewable energy consumption (REC), and non-REC on environmental quality in Azerbaijan for the period 1996-2022. The LCC hypothesis, which employs the load capacity factor (LCF) as an environmental quality indicator, facilitates a comprehensive evaluation of pollution across air, water, and soil domains. It was found that the LCC hypothesis does not hold for Azerbaijan. Specifically, fossil fuel consumption (FEC) was observed to exacerbate environmental degradation, whereas the influence of REC and TO on the LCF was not statistically significant. These findings suggest that Azerbaijan’s strategy for using renewable energy does not effectively enhance environmental quality. Furthermore, the evidence indicates that economic expansion alone does not suffice to mitigate environmental challenges. To foster sustainable environmental improvement, it is recommended that the Azerbaijani government devises a more robust energy mix strategy that transcends the current reliance on renewable sources and adopts a holistic green growth model for the economy.

Based on five dimensions, a green finance evaluation indicator system for the Yangtze River Economic Belt was constructed. The Criteria Importance Though Intercrieria Correlation (CRITIC)-entropy weight method was employed to measure the green finance development level across 107 prefecture-level cities and above in the Economic Belt during 2007-2020. Moreover, the Dagum Gini coefficient and kernel density estimation were utilized to reveal the regional disparities and dynamic evolution trends in the development level of green finance. It was discovered that: (i) During the sample inspection period, the development level of green finance in the Economic Belt exhibited a fluctuating upward trend, with the annual growth rates of the three major regions decreasing from downstream to upstream. Provincial capitals such as Shanghai, Nanjing, Hangzhou, Wuhan, and Chengdu were found to have notably higher levels of green finance development. (ii) The overall disparity in the development level of green finance in the Economic Belt showed a widening trend, with transvariation density as the primary source of overall disparity, followed by intra-regional differences, and the smallest contribution coming from inter-regional disparities. (iii) The absolute disparity in the development level of green finance within the Yangtze River Economic Belt was observed to be expanding, with the overall basin and the three major regions experiencing diverse evolutionary paths. A clear polarization trend in the downstream area was identified, accompanied by a "better-get-better" phenomenon.

Amid growing concerns over global climate change and the need for sustainable infrastructure development, remote communities such as Rigolet in Newfoundland and Labrador (NL), which primarily rely on diesel generators, face unique challenges and opportunities. This study proposes a transition to a hybrid energy system (HES) that integrates wind and solar energy with battery storage and diesel generator backups. The feasibility and implications of this transformation in Rigolet were assessed using HOMER Pro software, contrasting it with the current diesel-centric model. The feasibility, environmental impact, and economic implications of implementing a HES in Rigolet were thoroughly examined. The methodology employed includes a detailed simulation and optimization of the HES configuration suitable for 125 households with a population of 327. The findings reveal that integrating wind and solar electricity with the existing diesel infrastructure, coupled with battery storage, reduced diesel consumption by 352 tons per year and Carbon Dioxide (CO₂) emissions by 929 tons per year. Additionally, other pollutants such as Carbon Monoxide (CO), Particulate Matter (PM), Sulfur Dioxide (SO₂), and Nitrogen Oxide (NO) were significantly reduced. The proposed system demonstrates a reasonable Net Present Cost (NPC) of \$5.17 million with a Levelized Cost of Energy (LCoE) of \$0.22/kWh. This shift towards a HES not only illustrates significant environmental advantages and an increase in the percentage of renewable energy but also provides economic benefits through cost reductions over the long term compared to the existing diesel-dependent configuration. The proposed system provides a reliable and sustainable energy solution for Rigolet, presenting a replicable and innovative model for other similar remote locations aiming for a greener future.