The logarithmic mean Divisia index decomposition method is used to analyze the changes in the energy consumption of the Czech industrial sector during the period of 1993 to 2011. The results show the energy consumption was mainly affected by the improvements in the energy efficiency (which, however, lost most of their momentum after 1999). The impacts of the changes in the structure exhibit two...

China has a large manufacturing industry and shoulders the responsibility of reducing carbon emissions. Smart grid technologies can integrate multiple renewable energy technologies, which possess significant potential in To estimate emission reduction smart China’s industry, this paper applies temporal logarithmic mean Divisia index (LMDI) method to analyze driving forces changes whole 28 sub-i...

Based on the logarithmic mean Divisia index (LMDI) approach, this paper presents a decomposition analysis of China’s energy-related industrial CO2 emissions from 1985 to 2007, as well as a comparative analysis of differential influences of various factors on six sectors. Via the decomposition, five categories of influencing factors are included: (1) Per capita GDP (PCG) was the largest positive...

aim : the aim of this study was to determine whether there is relation between body mass index and symptoms of gastro-esophageal reflux disease in our community using logit, probit and complementary log-log models. background : the most frequent statistical tool to address the relationship among a dichotomous response and other covariates is logistic regression. however logistic regression is f...

The electricity sector is a complex system, especially in the Yangtze River Delta (YRD) of China. Thus, carbon dioxide (CO2) emission YRD’s during 2000–2020 was first calculated and then evaluated from two systematical dimensions cross-region whole process (production, trade, transmission, consumption) by an extended logarithmic mean Divisia index (LMDI). (1) During 2000–2020, CO2 increased 228...

in which the summation is taken over all y1 goods and where wi is the budget share of commodity i, qi is the quantity of good i, pi is the unit price of good i, x is total expenditure, and P is the Divisia price index, implicitly defined as d In P = cj wj.d In pi. The parameter pi is the (constant) marginal budget share of good i; negativity of the substitution effect imposes 7rii < 0. The left...

This paper compares the different dynamics of the simple sum monetary aggregates and the Divisia monetary aggregate indexes over time, over the business cycle, and across high and low inflation and interest rate phases. Although traditional comparisons of the series sometimes suggest that simple sum and Divisia monetary aggregates share similar dynamics, there are important differences during c...