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...

Based on the international community’s analysis of the present CO2 emissions situation, a Log Mean Divisia Index (LMDI) decomposition model is proposed in this paper, aiming to reflect the decomposition of carbon productivity. The model is designed by analyzing the factors that affect carbon productivity. China’s contribution to carbon productivity is analyzed from the dimensions of influencing...

The permanent decline of equipment prices relative to nondurable consumption prices rendered fixed-base quantity indexes obsolete, because of the well-known substitution bias. National Income and Product Accounts (NIPA) responded by switching to a flexible-base quantity index to measure GDP growth. We argue this is a welfare measure of output growth. In a two-sector endogenous growth model, we ...

With China’s rapid economic growth, energy-related CO2 emissions have experienced a dramatic increase. Quantification of energy-related CO2 emissions that occur in China is of serious concern for the policy makers to make efficient environmental policies without damaging the economic growth. Examining 33 productive sectors in China, this paper combined the extended “Kaya identity” and “IPAT mod...

China has overtaken the United States as the world’s largest producer of carbon dioxide, with industrial carbon emissions (ICE) accounting for approximately 65% of the country’s total emissions. Understanding the ICE decoupling patterns and factors influencing the decoupling status is a prerequisite for balancing economic growth and carbon emissions. This paper provides an overview of ICE based...

Energy can be considered both a resource and carbon intensive sector with the potential to promote adverse effects. One of these is climate change that distresses multiple dimensions of sustainability both on developed and emerging countries. Therefore, efforts to achieve energy sustainability should strive for emission reductions that promote impact decoupling, namely between energyrelated CO2...

Divisia money is a monetary aggregate that gives each component an assigned weight. We use an evolutionary neural network to calculate new Divisia weights for each component utilising the Bank of England monetary data for the U.K. We propose a new money aggregate using our newly derived weights to carry out quantitative inflation prediction. The results show that this new money aggregate has be...

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...