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Lean Six Sigma is a most widely used technique in quality management. In manufacturing and service industries, this technique is used for process excellence. In the power sector, there has been hardly any study on the usage of LSS. Can LSS transform the ailing power sector organization from frog into princes? The purpose of this paper is to explore LSS impact on the power sector.

A multiple case study approach is followed. Five cases, one each from the generation, the transmission and three from distribution companies are studied based on the rationale of theoretical sampling.

LSS is an important methodology that can be used in generation, transmission and distribution of electricity energy to drive out inefficiency and improve customer satisfaction, profits, etc. In addition, the success stories of all five cases suggest the sustainable economic benefit to the organization due to the implementation of LSS.

This study intends to make an academic contribution to the pertinence of LSS in the power sector. The multiple case study approach is used on a theoretical sample of power utilities in India. This study will provide the theoretical contribution for LSS. In addition, this study will help the practitioner and managers to effectively implement LSS, especially in the power sector.

This study can be used by power sector organizations to implement LSS. A special section on implication for practice is added so that organization can make use of it while implementing LSS in the power sector.

Power is one of the most important infrastructures for the development of a country. In a developing country, the power sector is ailing; the application of LSS can transform the power sector by driving out inefficiency, waste and variation. It will not only prove to be a boon to utilities, but it will also help the customer and society at large. Consequently, it will help in reducing the power tariff, which in turn will make power financially accessible to all categories of consumers. In addition, the private investment in this sector will also improve, if power sectors appeal, to financiers as an efficient organization, compared to loss-making one organization, at present.

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.

Private equity (PE) has emerged as an important source of capital for infrastructure in recent years. There have been more than 2,000 deals by PE infrastructure funds till 2012, with annual investments in the range of $100-120bn. Substantial proportion of these investments has been in the energy and the power sector. This paper aims to compare power generation projects with and without PE investment.

In this study, 148 power generation projects that were implemented in India during 2004-2011 were used for the analysis. Ordinary least squares and three-stage least squares regression have been used to analyze the impact of PE investment on unit project costs and project commissioning time.

Projects with PE investment had lower unit capacity costs as compared to power projects that did not have PE investment. This indicated the ability of PE investors to select, invest and develop those projects that are cost-effective. However, projects with PE investment had longer commissioning time. This can be attributed to the active monitoring and governance practices that were associated with PE investment.

The results highlight the key role that PE investors can play in power sector development in developing countries. Apart from providing capital to capital-starved economies, PE investors can help in developing cost-effective projects and contribute to sector development by institutionalizing robust processes and governance practices.

This is one of the earliest studies to analyze the impact of PE investment on the power sector.

The purpose of this paper is to identify the risks associated with private sector participation (PSP) in power generation (PG) projects, how they were allocated and the strategies used to mitigate their likely adverse effects.

The paper adopts case study research method and cross-case analyses to unearth the key risks and the contractual instruments used to manage them.

The paper identified 30 risk factors associated with four major private sector PG projects in Ghana. The allocation and mitigation strategies of these risks are also reported.

This is the first study to create a risk register of PSP PG projects. Private investors and government have been provided with a comprehensive list of risks associated with PG infrastructure. Would-be investors have also been armed with some potential risk management strategies for proper project structuring.

The decarbonization of power generation is key to achieving carbon neutrality in China by the end of 2060. This paper aims to examine how green finance influences China’s low-carbon transition of power generation. Using a provincial panel data set as an empirical study example, green finance is assessed first, then empirically analyses the influences of green finance on the low-carbon transition of power generation, as well as intermediary mechanisms at play. Finally, this paper makes relevant recommendations for peak carbon and carbon neutrality in China.

To begin with, an evaluation index system with five indicators is constructed with entropy weighting method. Second, this paper uses the share of coal-fired power generation that takes in total power generation as an inverse indicator to measure the low-carbon transition in power generation. Finally, the authors perform generalized method of moments (GMM) econometric model to examine how green finance influences China’s low-carbon transition of power generation by taking advantage of 30 provincial panel data sets, spanning the period of 2007–2019. Meanwhile, the implementation of the 2016 Guidance on Green Finance is used as a turning point to address endogeneity using difference-in-difference method (DID).

The prosperity of green finance can markedly reduce the share of thermal power generation in total electricity generation, which implies a trend toward China’s low-carbon transformation in the power generation industry. Urbanization and R&D investment are driving forces influencing low-carbon transition, while economic development hinders the low-carbon transition. The conclusions remain robust after a series of tests such as the DID method, instrumental variable method and replacement indicators. Notably, the results of the mechanism analysis suggest that green finance contributes to low-carbon transformation in power generation by reducing secondary sectoral share, reducing the production of export products, promoting the advancement of green technologies and expanding the proportion of new installed capacity of renewable energy.

This paper puts forward relevant suggestions for promoting the green finance development with countermeasures such as allowing low interest rate for renewable energy power generation, facilitating market function and using carbon trade market. Additional policy implication is to promote high quality urbanization and increase R&D investment while pursuing high quality economic development. The last implication is to develop mechanism to strengthen the transformation of industrial structure, to promote high quality trade from high carbon manufactured products to low-carbon products, to stimulate more investment in green technology innovation and to accelerate the greening of installed structure in power generation industry.

This paper first attempts to examine the low-carbon transition in power generation from a new perspective of green finance. Second, this paper analyses the mechanism through several aspects: the share of secondary industry, the output of exported products, advances in green technology and the share of renewable energy in new installed capacity, which has not yet been done. Finally, this study constructs a system of indicators to evaluate green finance, including five indicators with entropy weighting method. In conclusion, this paper provides scientific references for sustainable development in China, and meanwhile for other developing countries with similar characteristics.

The environmental impact of energy supply is growing which has a significant impact on regional and global environmental issues. As a solution for this, both developed and developing nations paying attention to convert their energy productivity by using renewable energy like wind and solar energy. Sri Lankan government also aims to obtain the full amount of electricity required from local renewable sources by the year 2050 under the project called “sooryabala sangramaya” (the battle for solar energy). Currently, Sri Lanka’s power generation sector is heavily dependent on imported fuels, such as petroleum and coal, resulting in growing detrimental impacts on the country’s sustainable socioeconomic development. With the growing market of solar photovoltaic (PV) technology, Sri Lanka is turning its attention towards generating the total amount of electricity required from solar power by promoting the installation of arrays of PV panels on the rooftops of households, religious places, hotels, commercial establishments and industries. It also aims to deploy solar PV for sustainable rural development, mainly focused on uplifting people living in remote areas in the country. This chapter discusses how Sri Lanka has initiated a rooftop solar PV adoption program to lessen imported fuels’ socioeconomic and environmental impacts. Moreover, this case demonstrates that the adoption of rooftop solar PV brings many socioeconomic benefits to its consumers.

Conventional theories of market entry assume choice availability. This investment assumption is subject to challenges in the power generation market of an emerging economy where the host government controls most key resources and market entry choices. With such constraints, entrants become heavily dependent on their host country partners. This study investigates how the resource dependency frameworks explain better in respect of some US power generation firms that manage to operate electricity facilities in China whereas some have to abort. Using cross‐case analysis, patterns emerged illustrate how two groups of entrants manage key resources differently.

The purpose of this paper is to develop an interpretive structural modeling (ISM) of barriers related to viability of Power Distribution Companies (discoms) in India.

Feedback from the Experts of Indian power sector has been taken as the basis to develop the model for barriers to viability of discoms, where major barriers have been identified through extent review of literature and through discussions with experts in the power sector keeping the viability of discoms in focus, and the hierarchical structure of barriers has been developed using ISM.

An interpretive structural model has been developed for discom-related factors (barriers) affecting its viability. The hierarchical structure portrays the impeding factors of viability and showcases that lack of regulatory effectiveness, inadequate tariffs and lack of government’s expenditures on power sector are the key barriers.

This paper has implications for both practitioners and academics. For practitioners, it provides an indicative list of major barriers affecting the viability of Indian discoms. For academics, the methodology used provides a mechanism to conduct an exploratory study by identifying the key variables of interest and emphasizing their interactions through hierarchical structures.

The proposed model for barriers to viability of discoms developed through qualitative modeling technique is a pioneering effort altogether in the context of power distribution companies in India. Understanding contextual relationships among key barriers to viability of discom’s is neglected in existing literature, and this paper makes a contribution in this regard.

India is a developing economy along with an increasing population estimated to be the largest populated country in about seven years. Simultaneously, its power consumption is projected to increase more than double by 2020. Currently, the dependence on coal is relatively high, making it the largest global greenhouse gas emitting sector which is a matter of great concern. The purpose of this paper is to evaluate the environmental impacts of the natural gas electricity generation in India and propose a model using a life cycle assessment (LCA) approach.

LCA is used as a tool to evaluate the environmental impact of the natural gas combined cycle (NGCC) power plant, as it adopts a holistic approach towards the whole process. The LCA methodology used in this study follows the ISO 14040 and 14044 standards (ISO 14040: 2009; ISO 14044: 2009). A questionnaire was designed for data collection and validated by expert review primary data for the annual environmental emission was collected by personally visiting the power plant. The study follows a cradle to gate assessment using the CML (2001) methodology.

The analysis reveals that the main impacts were during the process of combustion. The Global warming potential is approximately 0.50 kg CO₂ equivalents per kWh of electricity generation from this gas-based power plant. These results can be used by stakeholders, experts and members who are authorised to probe positive initiative for the reduction of environmental impacts from the power generation sector.

Considering the pace of growth of economic development of India, it is the need of the hour to emphasise on the patterns of sustainable energy generation which is an important subject to be addressed considering India’s ratification to the Paris Climate Change Agreement. This paper analyzes the environmental impacts of gas-based electricity generation.

Presenting this case study is an opportunity to get a glimpse of the challenges associated with gas-based electricity generation in India. It gives a direction and helps us to better understand the right spot which require efforts for the improvement of sustainable energy generation processes, by taking appropriate measures for emission reduction. This paper also proposes a model for gas-based electricity generation in India. It has been developed following an LCA approach. As far as we aware, this is the first study which proposes an LCA model for gas-based electricity generation in India. The model is developed in line with the LCA methodology and focusses on the impact categories specific for gas-based electricity generation.