Statistical analysis for the financial report from energy stream/revenue in Iranian small and medium-sized industries
Abstract
The Environmental Impact Assessment (EIA) plan is an indispensable part of all cycles of industrial projects. By the way, it results to compose the initial matrix of data in the preliminary assessment of the screening step. Iranian industrial projects recognized miscellaneous material streams introduced into industrial ambient and in released shapes. One of the important assessments posed in the EIA plan refers to costs/revenue assessment that assigns Data Envelopment Analysis (DEA) to discover the performance of industrial projects along with statistical tests. The objective of the current study prosecuted to discern the cost/revenue analysis in statistical language. Therefore, the empirical equations and SPSS Software of IBM 20 were employed in the analysis of financial reports. The findings were succeded to present linear relationships for the dependent and independent variables and in full compliance with diagrams developed by SPSS software. The results of the DEA model ended up with the emergence of an efficiency border for 8 industrial groups (334 industries) around a range of 0 to 0.4 by scatter plot. There were no significant differences between dependent and independent variables in different models assessed via T and F and ANOVA tests. It can be concluded that the findings of the DEA model displayed by the scatter plot are a benchmarking level for industrial projects once before complete construction.
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