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Abstract: The main purpose of this applied research was to determine and analysis environmental factors affecting technological entrepreneurship development in electric industry by using PESTLI technique. The main elements of this technique are: Political, Economic, Social, Technological, Legal and International factors. This research has been conducted through a surveying methodology by using the questionnaire. The statistical population of this study consists of 40 owners of non-governmental enterprises who generate electric energy in Distributed Generation systems. The statistical sample was considered the same as population. The research findings indicate that there was positive significant correlation between independent variables such political, economic, social, technological, legal and international factors and electric distributed generation as dependent variable. Also findings showed, economic factors have the most effect on entrepreneurship development in electric industry. After that, international, legal and policy factors have the most effect.

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Using more accurate approaches to evaluate the efficiency of the Iranian electricity distribution companies will help to planner to identify the best practice companies among others and enhance the quality of customer services. Usually, the data envelopment analysis (DEA) and stochastic frontier analysis (SFA) were used to assess the efficiency of decision making units. Besides the advantages of each of these methods, they have some drawbacks such as lack of proper severability or the need to shape of the production function. In this paper, stochastic nonparametric envelopment of data (StoNED) approach which combines with the two mentioned methods and has the advantages of both, are proposed to evaluate the efficiency of 39 Iranian electricity distribution companies. We defined proper input and output variables for evaluating the efficiency of each case. The proportion of underground cables in the total length of the network is taken into account as a contextual variable which is the proposed method considers a variable to better control for the heterogeneity of the firms and their operating environments. The Iranian firms based of the DEA and StoNED are evaluated and ranked. The results show, the ranking by StoNED are more reliable than the DEA. Isfahan and Kermanshah companies have the highest rank and are benchmark for others.