Performance evaluation of Uttarakhand electric utility data using slack based measure and Two-stage DEA modelling

Analysis on the influence of government efficiency on taiwan’s society, economy, and environment using data mining: a case study on open government data

Abstract: This study uses DEA-SBM to obtain the target variables and the decision tree model to produce important indicators. The government can promote Taiwan's development in all aspects by improving social, economic, and environmental efficiency, while ensuring the sustainable development of environmental protection. The 15 social, economic, and environmental variables are used in the decision tree to obtain 3 repeatable important indicators that can affect Taiwan's social change, economic development, operational capability, environmental pollution, and change. K-means divides the 22 counties and cities into 1 capital city, 5 municipalities, and 16 other counties and cities, in order to understand the influence of the economy on social and environmental development during the period of 2013-2015 in Taiwan.

A micro level study of an Indian electric utility for efficiency enhancement

Abstract: In this paper DEA (Data envelopment analysis), a non-parametric approach to frontier analysis, is applied to evaluate the relative performance of 29 EDDs (Electricity Distribution Divisions) of an Indian hilly state, namely Uttarakhand. Input oriented DEA is applied to evaluate the relative overall efficiency, technical efficiency and scale efficiency of EDDs. The results indicate that numerous divisions have scope for improvement in overall efficiency. Most of the utilities are inefficient due to their scale inefficiency rather than technical inefficiency. Further Slack analysis is carried out to formulate improvement directions for relatively inefficient divisions. Particular areas are identified, which are to be improved for overall efficiency enhancement through sensitivity analysis. Different alternatives for reorganization of the EDDs are explored in order to obtain most favorable and balanced scale. The result is envisaged to be instrumental to policy makers and managers to increase the operational efficiency of the EDDs leading to higher profitability of the state electricity board.

A novel power sector restructuring model based on Data Envelopment Analysis (DEA)

Abstract: This paper evaluates relative performance of the Electric Distribution Divisions (EDDs) of an Indian State, Uttarakhand for the period 2005–2008, through application of Data Envelopment Analysis (DEA). To improve the operational efficiency of EDDs, Uttarakhand Power Corporation Limited (UPCL) disintegrated several divisions into smaller ones over this period. However, microlevel examination revealed the ineffectiveness of this process during the period of analysis. Therefore, in the present work an alternative reorganization model for selecting the EDDs for disintegration and for selecting the optimum scale for disintegration is proposed based on the efficiency analysis of 2007. The model is verified by comparing the mean efficiency score of the EDDs derived using proposed model with that of existing ones. It is found that overall efficiency of proposed model is higher than the existing system. Reliability of the overall efficient EDDs is also examined to check the robustness of the CCR result for the same year. This study gives an assessment of UPCL to monitor and diagnose the changes in the efficiency of EDDs, so it will help regulators to formulate more effective policies on deregulation and disintegration and to determine the appropriate efficiency improvement measures when imposing yardstick competition on electric utilities.

Regional disparities in electrification of India – do geographic factors matter?

Abstract: Modern energy sources are important input factors for human development. Although official estimates indicate that 85% of Indian villages are electrified, fewer than 60% of Indian households actually consume electricity. Therefore, one observes a considerable spatial heterogeneity in electrification rate. This paper examines the factors that influence household and village electrification, with particular attention given to the influence of geographic factors. The analysis shows that village electrification is constrained by state area and village structure. In addition, a high share of agricultural areas seems to have a positive effect. Household electrification depends on household characteristics, the degree of community electrification, and the quality of electricity supply, and it is independent of geographic factors. Surprisingly, household expenditure and, in particular, the electricity tariff show only a relatively small effect on a household‘s choice for electricity.