Abstract Residential electricity consumption in Brazil has been growing during the last few decades, creating a potential opportunity to expand energy efficiency measures. However, dimension of sector and its closed relationship with economic, cultural, demographic processes causes certain complexity understanding patterns consumption, additional challenges policies. This study analyzed decompo...

This paper selected the data from 2010 to 2020 measure carbon emissions of logistics industry in different regions China, decomposed influencing factors China’s based on LMDI model, and, finally, conducted a decoupling analysis and development industry. The conclusions are as follows: (1) emission levels vary greatly region region, with highest distribution pattern east lowest west, while growt...

Shadow prices of undesirable outputs assess the opportunity costs emissions reduction and provide a comprehensive measuring indicator for overall environmental regulation stringency. industrial air pollutant in China 2006–2016 have been estimated by different nonparametric models, their determinants, as well controlling effects regulations, further investigated this study. Our empirical results...

Identifying the evolutionary patterns and drivers of regional water use is a prerequisite for achieving strictest resource management system. This study used Tapio-LMDI model to analyze decoupling state driving factors between economic development production in Jiangsu Province from 2004 2020. The results show that: (1) From evolution structure, total shows decreasing trend Among them, decrease...

As the most populous country in world, China has a great shortage pressure of water resources. With acceleration urbanization, China’s usage different sectors will change significantly next few years. In order to investigate main reasons behind China, Logarithmic Mean Divisia Index (LMDI) model was adopted this paper from 2000 2020 with provincial data. Three effects, including that technology,...

Abstract This paper investigates CO 2 intensity changes from energy use in the Nigerian economy for a period of 39 years (1981-2019) using Logarithmic Mean weight Divisia Index (LMDI). The respective contribution and impacts different factors such as activity effects, conversion efficiency, energy, fuel mix, among others on aggregate carbon emission has been examined bearing mind poor electrici...

Technological innovations in the power industry can help reduce electricity consumption but may also have a negative result due to rebound effects. Estimation and refinement of demand effects are important for assessing impact technological innovations. For this purpose, paper first constructs Log Mean Divisia Index (LMDI) measure structural technical Secondly, Data Envelopment Analysis (DEA)–M...

The Southeast Asian region is one of the most vulnerable to climate change given its geographical location and economic situation. This study aims conduct a combination spatial temporal analyses in order understand differences between member nations terms driving factors changing emissions. logarithmic mean Divisia index (LMDI) method was used estimate carbon dioxide emissions due population, a...