As global climate change and management challenges grow, the low-carbon transition has become crucial for the sustainable development of enterprises. This study investigates the economic impact of corporate low-carbon behavior on operational performance using panel data from 2008 to 2022 for...

The study aims at determination of the rainy season period and an analysis of rainfall variability in the upstream lower Mouhoun, a sub-catchment of the Mouhoun River in Burkina Faso during the period 1980-2020. Daily rainfall data from fourteen stations covering the period 1980-2020 were collected...

Climate change acceleration and intensifying global carbon reduction efforts have created an urgent need to understand how climate transition risks affect carbon emission efficiency in energy enterprises. Our study breaks new ground by developing climate risk indicators through machine learning and...

This study employs wavelet coherence, wavelet quantile correlation, and Granger causality tests to comprehensively investigate the dynamic correlation characteristics between the U.S.clean energies and the stock returns of seven systematically important banks (SIBs). The main findings are as follows...

As global climate change intensifies, with frequent extreme weather events, the stability of vegetation is severely threatened. This study (2002–2023) uses NDVI, temperature, and precipitation data, along with methods like pixel binary, trend analysis, and multiple regression residual analysis, to...

Investigating the spatiotemporal heterogeneity of livestock environmental efficiency and its decoupling effect is crucial for fostering the coordinated development of livestock economy and environmental sustainability. This study examines the spatiotemporal distribution, regional gaps, dynamic...

Among the most significant issues that will impact and pose a major threat to our future are global warming and climate change. This study focuses on forecasting India's carbon emissions, specifically examining the role of agriculture and agri-related industries, using time-series data from 1990 to...

Santo André city is located in the region called ABC Paulista, in the southeast of the Metropolitan Region of São Paulo and it is an important city, considering its industrial and economic role. There are few attempts to develop projects that fit the local climate in order to save energy consumption...

To effectively address the CO 2 emissions in the tourism place, in this study focuses a Sanshan scenic spot for precise prediction. The main factors contributing CO 2 emission as, accommodation, transportation and catering services which intends to improve the need of carbon emission forecasting...

Since hydrogen gas is a plentiful element in the universe, using it as fuel for IC engines has the potential to reduce pollution while also improving the engine performance. Hydrogen gas as fuel has many advantages, including a high energy density, a rapid flame speed, clean burning, and a short...

This study employs a dynamic fuzzy-set qualitative comparative analysis (fsQCA) approach, utilizing panel data from 121 low-carbon pilot cities in China from 2007 to 2019. Grounded in complex systems theory and the triple bottom line framework (Economy-Society-Environment), the research aims to...

This study explores the impact of industrial co-agglomeration on urban carbon emission efficiency in Shandong Province from China during 2007 to 2020. The moderating effect model is constructed to explore the role green finance in the impact of industrial co-agglomeration on urban carbon emission...

Exploring the spatial correlation network structure of provincial livestock carbon productivity and its driving factors can provide new policy perspectives for realizing the synergy of regional pollution and carbon reduction. This study constructs 2006-2021 panel data models by social network...

The global imperative to address climate change and promote sustainable agriculture has underscored the critical role of soil management practices in enhancing carbon sequestration and reducing greenhouse gas emissions. This research focuses on quantifying the carbon sequestration potential of...

Investigating the influence of climate change on drought in a dynamic environment is essential for human society, agriculture, and ecology. Draught forecasting often considers machine learning techniques that use climate-mode indices as predictor variables. However, forecasting in long lead times is...

The escalating levels of atmospheric CO2 have underscored the necessity for developing effective carbon capture and storage (CCS) technologies. This study investigates the advancements in post-combustion CO2 capture technologies, specifically examining the efficiency of amine-based absorption and...

Climate change has serious implications foron the rise and variation of the average earth’s temperature, and intensified rainfall. In urban areas, temperatures and intensified rainfall variation are noticeably seenin the city which disrupts the normal life of a living things. Also, it affects the...

Climate change is an indicator of changes happening in the biosphere. Monitoring it, will anticipating actions against the resulting disasters. This study, undertaken in Burkina Faso Nouaho sub basin, gives an overview of rainfall in the near, medium and long terms. It is built on regional climates...

One of the main factors affecting human livelihoods is weather events. High weather disasters with forest fires, high air temperature, and global warming that cause drought. An efficient and accurate weather forecasting approach is required to take measures against climate disasters. Therefore, it...

Temperature dynamics is a widely recognized indicator of the global warming phenomenon. Changes in temperature patterns in Bhubaneswar, India, were assessed by examining the monthly minimum and maximum temperature data for 60 years (1956–2015) sourced from the Indian Meteorological Department...

Due to extensive energy consumption and industrial production activities, Asian countries have become the largest sources of global carbon emissions, with emerging economies like China and India contributing significantly. Against the backdrop of increasing global climate change, carbon emissions...

There are numerous geo-climatic and human factors that contribute to the occurrence of natural disasters in the real-world scenario. Besides the study of causes and preconditions of such calamities, post-disaster analysis is essential for the efficient management of the disaster situation. This...

In the present work meteorological data, concerning temperature and precipitation in a mountainous Bulgarian fir (Abies borisii-regis Mattf.) forest, was analyzed in order to find trends for the period 1973-2019. The results showed that temperature values on annual and seasonal base, especially in...

Flooding events are the most devastating natural disasters that Malaysia had experienced these recent years. It has become a challenge for the government and society to mitigate the flood events that occurs naturally, especially when climate change had worsened the situation. This study focuses on...

This study is aimed at quantifying the contribution of small urban green spaces to mitigate adverse bioclimatic conditions within the urban environment of Athens during summer and investigate their thermal profile during a warm, a cold and a transitional period. Six green and non-green sites inside...