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The objective of the present study is to evaluate and analyse the performance of Indian electricity distribution utilities post the implementation of landmark Electricity Act 2003.

Stochastic frontier analysis (SFA) that incorporates exogenous influences on operational efficiency is adopted in the present study. Specifically, a stochastic frontier production function model with a technical inefficiency effects model (Battese and Coelli, 1995) is chosen as a preferred model. In this model, the function that explains the inefficiency scores is estimated in a single stage with the production technology. This avoids the problem of inconsistency which is possible in the two-stage approach.

The sample involved 52 Indian electricity distribution utilities for seven-year period from 2006 to 2013. Major findings of SFA show that Indian electricity distribution utilities post the implementation of Electricity Act (2003) had, on average, experienced efficiency improvement during the observed period. The overall mean technical effciency score is estimated as 78.5% which indicates that there exist wide scope for effciency improvement in the sector. Further, the empirical findings also indicate that publicly owned distribution utilities obtain average technical efficiencies of 71.3%, which is lower than privately owned distribution utilities, which achieve average technical efficiencies of 85.7%.

Power supply quality indicators such as SAIFI, SAIDI, CAIFI, etc. and unobserved heterogeneity also influence the efficiency analysis of electricity distribution utilities. Hence, these parameters as explanatory variables can be incorporated in the future work.

The results obtained from this empirical study would likely be helpful for utility managers and policymakers to know how well they are performing, and how a better corporate strategy a particular utility can formulate to improve its operational efficiency and also its position in the marketplace.

This paper is amongst the first significant attempts that implement SFA approach to the panel dataset over a longer period of time – 2006 to 2013, so, as to evaluate and analyse the operational efficiency of Indian electricity distribution utilities in a single framework after the enactment of Electricity Act (2003). Unlike previous studies, this study investigates the degree to which various exogenous (or environmental) factors influence efficiency levels in these utilities.

The Indian power sector is dominated by coal. Environmental awareness and advances in techno-economic front have led to a slow but steady shift towards greener alternatives. The distributions of both fossil fuel resources and renewable energy potential are not uniform across the states. Paper attempts to answer how the states are performing in the sector and how the renewable energy and conventional resources are affecting the dynamics.

The authors employ a two-stage data envelopment analysis (DEA) to rank the performance of Indian states in the power sector. Multi-stage analysis opens up the DEA black-box through disaggregating power sector in two logical sub-sectors. The performance is evaluated from the point-of-view of policy formulating and implementing agencies. Further, an econometric analysis using seemingly unrelated regression equations (SURE) is conducted to estimate the determinants of total and industrial per-capita electricity consumption.

Efficiency scores obtained from the first phase of analysis happens to be a significant explanatory variable for power consumption. The growth in electricity consumption, which is necessary for economic wellbeing, is positively affected by both renewable and non-renewable sources; but conventional sources have a larger impact on per-capita consumption. Yet, the share of renewables in the energy mix has positive elasticity. Hence, the findings are encouraging, because development in storage technologies, falling costs and policy interventions are poised to give further impetus to renewable sources.

The study is one of the very few where entire spectrum of the Indian power sector is evaluated from efficiency perspective. Further, the second phase analysis gives additional relevant insights on the sector.

This paper aims to explain transitions in a socio-technical system characterized by non-economic entities that influence economic activity, i.e. embeddedness and coalitions. The selected socio-technical system is an Indian electric network with an interventionist policy. Its embeddedness and coalitions drive the transition. The insights from such analysis expand socio-technical transition theory and provide valuable insights to practitioners in their policymaking.

The authors need to observe the effects of non-economic institutions in their setting. Moreover, in India, the regional policies influence decision-making; therefore, selected two Indian states. The two Indian states, along with their non-economic entities, provided diverse analytic and heuristic views.

The findings show that coalitions, with their embeddedness in the absence of any mediating policy systems, act as external pressures and influence innovation and the socio-technical system’s transition trajectory. Their coalitions’ embeddedness follows a shaping, not selection logic. Thereby influence innovations in cumulating as stable designs. Such an approach provides benefits in the short-term but not in the long-term.

The study selected two states and examined two of the four trajectories. By considering other states, the authors can obtain more renewable energy investments and further insights into the transformational trajectory.

The study highlights the coalition dynamics specific to the Indian electric power network and its transition trajectories. The non-economic entities influenced transition trajectories, innovation and policymaking of the socio-technical system.

The study expands the socio-technical transition theory by including embeddedness. The embeddedness brings a shaping logic instead of a selection logic.

The purpose of this paper is to evaluate the utility-level productivity changes in Indian electricity sector during a period that witnessed structural reforms through several landmark regulatory changes.

A transformed fixed-effect stochastic frontier panel approach accounting for time-invariant unobserved heterogeneity is employed to evaluate the productivity changes, and the inefficiency level in 98 utilities spanning over the years 2001–2010. A flexible translog production model is modeled and estimated, and decomposition of productivity into components of changes in efficiency, scale technology and price effect is computed.

The empirical findings obtained from the present study suggest that the utility-level productivity in Indian electricity sector has generally declined during the observed period of 2001–2010 specifically after the implementation of Electricity Act 2003. Also, it is estimated that the state-level un-bundling of the electricity sector is not significantly associated with utility-level efficiency change. Furthermore, efficiency improvements attributable to increased competition are observed only in the case of smaller gas-based generating utilities.

Earlier studies on the productivity evaluation of Indian electricity industry have applied the non-parametric data envelopment analysis approach, which has several limitations. The novelty of the paper lies in the fact that this paper is one of the first attempts that implement transformed fixed-effect stochastic frontier panel approach and thus disentangle unobserved heterogeneity from inefficiency. Furthermore, it is the only paper that analyzes 98 utilities (51 generating utilities, 38 transmission and distribution licensees and 9 vertically integrated utilities) in a single framework during the period 2001–2010.

Management of power distribution companies (discoms) in India has been historically criticized on the ground of inefficient management. Inefficiency in operations triggered management by private franchisees for promotion of managerial and technical expertise. However, franchise contracts have achieved mixed outcomes despite the business model being a decade old in the Indian power distribution sector. Therefore, this study sheds light on the drivers of discoms (principal) with the franchisees (agent) for the achievement of the common performance goals, highlighting the agency issues at multiple levels across the organizational hierarchies. The study seeks to acknowledge the commonalities and differences between and across varying levels.

A qualitative embedded single case study was conducted in an Indian state, namely Odisha. The study was built on archival analysis, personal observations and semi-structured interviews with the franchisors and franchisee officials across the organization's hierarchical levels. A conceptual model based on the review of prior literature formed the set of coding and presentation for the study.

The study provides insights on factors that play a role in effective power distribution management, operational efficiency and improved financial performance through the partnership of the principal and the agent.

The study is predominantly dependent upon interviews. This paved the way for the limitation of human biases. Additionally, deep insights were drawn from a single case study of a discom's decision to hire franchisees. However, this was at the cost of the number of organizations interviewed. The findings of the study could be built across other areas or nations.

There is adequate literature on franchising as a business model. However, literature is lacking in highlighting the commonalities and differences between different contracting parties and their impact on the performance of the contract. Additionally, there is a dearth of literature on franchising in the power distribution sector. Therefore, studying the model from multiple perspectives would contribute to the literature on the power sector and franchising.

The Indian power distribution companies are increasingly recognizing franchising for reviving their high loss-making rural pockets. The motivation for franchising has been a reduction of the franchisor's resource scarcity by bringing in operational efficiency and improved service quality to end consumers. However, there is a dearth of evidence on the influence of the franchisee's operations in addressing the resource scarcity of franchisors in predominantly rural areas. This study contributes towards filling the research gap.

A qualitative embedded multiple case study was conducted. The cases comprised two rural franchisees operating towards attaining the common goal. The study was built on archival analysis, personal observations and semi-structured interviews with the franchisors and franchisee officials across the organization's hierarchical levels. A conceptual model based on the review of prior literature formed the initial set of coding for the study. The data were presented based on within-case and across-case analysis.

The analysis revealed that the contract design impacts the requisite operational efficiency achievement. This variation could be elaborated by factors, such as system adaptation across organizational hierarchy, autonomy and independence, review and feedback systems, monitoring, a professional's attitude, bureaucracy, adaption with the local areas, risk sharing, incentives and compensation structure.

The study findings could be generalized to the extent of similar socio-economic conditions, prevailing governance mechanisms and law and orders. Additionally, since the law does not mandate the regulatory commissions to scrutinize the performance of the franchisees, the study was built on data shared by the franchisees and the discom. Further, this study considered the performance of only two performing franchisees. Matching these actualities with the discoveries of this study remains a continuing project as participation of private players is increasingly being recognized. Therefore, the insights drawn from this study could be used to improve the franchise model and can be scaled up across the nation, regions and sectors.

There is a dearth of literature on franchising in electricity distribution. This study is one of the first studies on studying the franchise system in the electricity distribution sector through the application of a well-accepted management theory.

Electricity consumption around the world and in India is continuously increasing over the years. Presently, there is a huge diversity in electricity tariffs across states in India. This paper aims to focus on development of new tariff design method using K-means clustering and gap statistic.

Numbers of tariff plans are selected using gap-statistic for K-means clustering and regression analysis is used to deduce new tariffs from existing tariffs. The study has been carried on nearly 27,000 residential consumers from Sangli city, Maharashtra State, India.

These tariff plans are proposed with two objectives: first, possibility to shift consumer’s from existing to lower tariff plan for saving electricity and, second, to increase revenue by increasing tariff charges using Pay-by-Use policy.

The study can be performed on hourly or daily data using automatic meter reading and to introduce Time of Use or demand based tariff.

The proposed study focuses on use of data mining techniques for tariff planning based on consumer’s electricity usage pattern. It will be helpful to detect abnormalities in consumption pattern as well as forecasting electricity usage.

Consumers will be able to decide own monthly electricity consumption and related tariff leading to electricity savings, as well as high electricity consumption consumers have to pay more tariff charges for extra electricity usage.

To remove the disparity in various tariff plans across states and country, proposed method will help to provide a platform for designing uniform tariff for entire country based on consumer’s electricity consumption data.

The purpose of this paper is to assess the training needs based on top management view point for the development of frontline managers (FLM) of Indian power distribution companies (DISCOMs).

DISCOMs’ top managers were interviewed to develop questionnaire items. A total of ten items were identified; the response from the middle managers and FLM were collected with the help of a questionnaire on a five-point Likert type. The Cronbach’s alpha, face and content validity of instrument were performed. The sample population was 364 based on stratified probability proportional to size (PPS) sampling. The statistical tool used for data analysis was chi square through SPSS package.

Top management of DISCOMs for developing training program emphasizes on 10 organizational items. Which when assessed with middle and FLM of DISCOM, the results indicated a disagreement between their opinions suggesting practical implications on training need analysis at these DISCOMs.

The emphasis of top management for identifying the FLM training needs only acknowledges the work environment and customer requirements, whereas the personal and task related factors (other than customer services) affecting their performance are overlooked.

Reforms in the Indian power sector have been introduced only 26 years back. This study explicitly focuses on the DISCOMs at the central India. Present viewpoint of top management on the competency and training needs of their FLM. The Cronbach’s alpha and discriminant validity has been performed.

The purpose of this paper is to compare environmental performance of two shackle insulator manufacturing enterprises in India by evaluating and quantifying the life cycle environmental impacts in these enterprises using ISO 14040 guidelines.

All relevant life cycle phases – raw material, manufacturing, transportation and disposal – are considered. Primary inventory data for the two enterprises are collected through observations of processes at the sites. Ecoinvent 3.0 database is used as secondary data source. Process flow models are developed using Umberto software. ReCiPe impact assessment methodology is adopted to calculate environmental impacts in terms of endpoint categories of ecosystem quality, human health and resource availability; and midpoint categories of climate change, fossil depletion, human toxicity, metal depletion, ozone depletion, terrestrial acidification and water depletion.

This study has found that manufacturing phase followed by raw material extraction and transportation phases are responsible for most of the environmental impacts. This study also found that raw materials used in glaze preparation (manganese and ferrite), electricity, heavy fuel oil (C-9) and cotton have high environmental impacts in the manufacturing phase.

The limitation of this study is that most of the inventory data are collected from only two manufacturing plants.

The researchers/enterprises can use the knowledge body for modelling and result comparison under different conditions. The enterprises can do the micro analysis of environmental effects of processes to improve environmental as well as economic performance. The government agencies can use the data for policy development and deployment.

The main contribution of the research is the creation of a knowledge body in the area of ceramic product environmental impacts. The paper provides inventory for the life cycle assessment (LCA) of shackle insulators using primary source (measured values) as no secondary data source is available for the shackle insulators. The inventory and results of this study can be used as reference for the future LCA studies in ceramic industry.

This study aims to provide a scientific framework for the selection of suitable substation technology in an electrical power distribution network.

The present paper focuses on adopting an integrated multi-criteria decision-making approach using the Delphi method, analytic hierarchy process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS). The AHP is used to ascertain the criteria weights, and the TOPSIS is used for choosing the most fitting technology among choices of air-insulated substation, gas-insulated substation (GIS) and hybrid substation, to guarantee educated and supported choice.

The results reveal that the GIS is the most preferred technology by area experts, considering all the criteria and their relative preferences.

The current research has implications for public and private organizations responsible for the management of electricity in India, particularly the distribution system as the choice of substations is an essential component that has a strong impact on the smooth functioning and performance of the energy distribution in the country. The implementation of the chosen technology not only reduces economic losses but also contributes to the reduction of power outages, minimization of energy losses and improvement of the reliability, security, stability and quality of supply of the electrical networks.

The study explores the impact of substation technology installation in terms of its economic and environmental challenges. It emphasizes the need for proper installation checks to avoid long-term environmental hazards. Further, it reports that the economic benefits should not come at the cost of ecological degradation.

The present study is the first to provide a decision support framework for the selection of substation technologies using the hybrid AHP-TOPSIS approach. It also provides a cost–benefit analysis with short-term and long-term horizons. It further pinpoints the environmental issues with the installation of substation technology.