This paper provides parametric estimates of technical change, e¢ ciency change, economies of scale, and total factor productivity growth for large banks (those with assets in excess of $1 billion) in the United States, over the period from 2000 to 2005. In doing so, we propose a distance function based primal total factor productivity growth index, which is valid under both perfect and imperfec...

Rapid economic growth in Northwest China has been accompanied by a dramatic increase in carbon emissions. Based on the two-level Logarithmic Mean Divisia Index (LMDI) method, this study decomposes changes in energy-related carbon emissions in Northwest China during 1995–2012 from the regional and provincial perspectives. Further, by constructing an expanded decomposition model of the decoupling...

Abstract Despite the huge difference in their climatic regimes, OECD countries are among world’s largest energy consumers and emitters of greenhouse gases, particularly carbon dioxide. Nonetheless, no studies have been conducted to decompose decouple long-term influential primary factors emissions for these countries. In this research, Log Mean Divisia Method I is used inspect contribution seve...

Energy is the essential input for operations along the industrial manufacturing chain of textiles. China’s textile industry is facing great pressure on energy consumption reduction. This paper presents an analysis of the energy footprint (EFP) of China’s textile industry from 1991 to 2015. The relationship between EFP and economic growth in the textile industry was investigated with a decouplin...

For this study, we conducted a decomposition analysis of industrial electricity consumption based on the logarithmic mean Divisia index approach. An empirical dataset consisting 11 sectors in Korea from 2000 to 2018 was used. The three-factor equation extended include four factors by decomposing energy intensity effect into electrification and efficiency effects. results are summarized as follo...

6 7 Decomposition analyses are helpful to policymakers and analysts who aim to reduce carbon 8 dioxide (CO2) emissions from car travel. A large number of decomposition methods have been 9 proposed till date. However, there is still no consensus regarding the best decomposition 10 method because each method has certain advantages and disadvantages. Which method is 11 valid for the decomposition ...

China has been placing a substantial focus on biogas for reducing energy consumption and carbon dioxide (CO2) emissions. The operation mode of systems may make the CO2 reduction target over-optimistic. There is limited research to investigate influential factors that be causing gap between actual theoretical costs in China. In this research, by using field survey data 209 users 489 non-biogas f...

The residential sector has become the second largest energy consumer in China. Urban consumption (URE) China is growing rapidly process of urbanization. This paper aims to reveal spatiotemporal dynamic evolution and influencing mechanism URE heterogeneity during 2007–2018 explored through Kernel density estimation inequality measures (i.e., Gini coefficient, Theil index, mean logarithmic deviat...

Greenhouse gas (GHG) emissions are a significant cause of climate change, and municipal solid waste (MSW) is an important source GHG emissions. In this study, from MSW treatment in Beijing during 2006–2019 were accounted, basing on the Intergovernmental Panel Climate Change (IPCC) inventory model; influencing factors affecting analyzed by logarithmic mean Divisia index (LMDI) model combined wit...