Sensitivity analysis of effective factors on Iran industrialpollution by using artificial neural network multi-layer model

Nowadays, the most important social and economic problemsrelated to production activities are environmental pollutionproduced by various industries. Although these activities areurgent to meet consumer demand, they are inevitablyassociated with pollution. By using artificial neural networkmodels, this paper examines the effect of industrial valueadded, labor and energy productivity, physical and humancapital on producing industrial water pollution.According to empirical results, there is a significant andpositive association between physical capital intensity, energyconsumption intensity and industrial water pollution.Moreover, human capital intensity, a significant and negativelinking with human capital intensity, energy productivity andlabor productivity is observed.

Keywords:

water pollution , capital intensity , value -added , productivity