Divisia component data is used in the training of an Aggregate Feedforward Neural Network (AFFNN), a general-purpose connectionist system designed to assist with data mining activities. The neural network is able to learn the money-price relationship, defined as the relationships between the rate of growth of the money supply and inflation. Learned relationships are expressed in terms of an aut...

Carbon peaking in the transportation industry is of great significance to achieving goals carbon peaks and neutrality. By correcting energy consumption data Shaanxi province’s China, adding non-operating vehicles total consumptions building a more accurate calculation model for emissions provincial industry, this paper studies contribution population size, economic growth, intensity, structure,...

We analyze the driving factors of CO2 emissions and energy intensity in Colombia during 1971–2017 1975–2016, respectively. apply a factorial additive decomposition for emissions, starting from Kaya identity, using logarithmic mean Divisia index method. The increase is mainly explained by affluence population effects, but partially offset effect and, to lesser extent, carbonization effect. then ...

The inefficient application of water resources has become an urgent problem restricting the world’s sustainable development. Virtual Water Trade opens a new perspective on improving resource utilization efficiency. Based multi-regional input–output model and logarithmic mean Divisia index, virtual flows between 2000–2014 in 43 countries regions have been evaluated, driving forces changes for Eu...

Hebei Province in China is facing a serious water shortage, which further aggravated by the pressure of industrial transfer and unreasonable structure use. To explore relationship between use carbon emissions, this study, refined logarithmic mean divisia index (LMDI) decomposition method was developed to analyze driving factors during 2008–2019 from emission sectoral perspectives. The results s...

Estimation of the mean of the lognormal distribution has received much attention in the literature beginning with Finney (1941). The problem is of significant practical importance because of the ubiquitous use of log-transformation. In this paper we consider estimation of a parametric function associated with the lognormal distribution of which the mean, median and moments are special cases. We...

Many natural and economical phenomena are described through power law or log-normal distributions. In these cases, probability decreases very slowly with step size compared to normal distribution. Thus it is essential to cut-off these distributions for larger step size. Recently we introduce the gradually truncated power law distribution to successfully describe variation of financial, educatio...

This paper models the firm’s production process as a system of simultaneous technologies for desirable and undesirable outputs. Desirable outputs are produced by transforming inputs via the conventional transformation function, whereas (consistent with the material balance condition) undesirable outputs are by-produced via the so-called “residual generation technology”. By separating the produc...