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This paper aims to investigate the manner in which technological innovation in the European electrical-grid sector has developed by focusing, in particular, on the effect of public policy on innovation. To achieve this aim, this paper highlights how technological innovation and development progressed from the 1960s to the 1980s, and contrasts this period with the deregulated/privatization environment.

The paper is based on a series of in-depth multiple company case studies of grid companies, some of their suppliers and other actors in their broader business network. Empirical data were collected through 55 interviews.

The authors find that a phase of mutual collaboration was encouraged in the first period, which led to strong technological innovation with a focus on product quality and the development of functionality. Buyers played a pivotal role in the development of products and posed technical requirements. In contrast, the current role of the buyer has transformed principally into one of evaluating competing bids for specific projects. Today, buyers face increasing pressure to substantially lower CO₂ emissions and transform the energy grid system. These goals are difficult to achieve without a new way of thinking about innovation.

Models to achieve innovation must not only focus on individual research projects; instead, the innovation should be factored into normal business dealings in the supply chain.

We propose that policymakers and regulators need to: accommodate for innovation and address the collaborative elements of innovation when developing policies and regulations. Furthermore, regulators have the option of either developing a strategic vision for the electrical-grid network or incorporating sustainability into the evaluation of electrical grids and, thus, consumers’ willingness to pay.

This paper makes a distinctive contribution in the area of innovation for electrical grids. Our paper shows how innovation and the development of new technology for electrical grids changed over time. Furthermore, this paper describes the energy sector in terms of a business network comprising the different actors involved in innovation and development and, thus, their role in the energy supply chain.

Grassroots innovations, developed by local people using locally available resources, have shown the potential to provide low-cost technological solutions to the problems faced by underserved consumers in the global south. This paper aims to link the concept of grassroots innovations to energy use in the context of India.

The paper takes three case studies from the list of technologies scouted and nurtured by the National Innovation Foundation to critically discuss the potential of grassroots innovations for the dissemination and diffusion of urban sustainable energy uses. The data for this study has been collected from various secondary sources. It discusses the opportunities and challenges in promoting grassroots innovations for sustainable energy uses in urban settings.

The paper discusses the opportunities and challenges in promoting grassroots innovations for sustainable energy uses in urban settings.

Although the concept and understanding of grassroots innovations have well developed, its linkages with sustainable energy use in urban settings have received scarce or no attention in the literature.

Examine the effects of sudden environmental disasters on the advancement of both renewable and conventional energy technologies.

Utilizing panel data from 31 Chinese provinces spanning 2011 to 2022, the SEM (Spatial Error Model) dual fixed model is utilized to examine the impact of sudden environmental disasters on energy technologies.

The findings reveal that: (1) Sudden environmental disasters exert a markedly positive influence on the Innovation of Renewable Energy Technologies (IRET), while their impact on conventional energy technologies is positively non-significant. (2) Sudden environmental disasters not only significantly enhance innovation in local renewable energy technologies but also extend this positive influence to neighboring regions, demonstrating a spatial spillover phenomenon. (3) Research and Development (R&D) funding serves as a partial mediator in the relationship between sudden environmental disasters and renewable ETI. In contrast, Foreign Direct Investment (FDI) exhibits a masking effect.

Consequently, the study advocates for intensified efforts in post-disaster reconstruction following abrupt environmental events, an elevation in the quality of foreign direct investments, and leveraging research funding to catalyze innovation in renewable energy technologies amid unforeseen environmental crises.

The aim of this study is to (1) construct a standard framework for assessing the capability of bioenergy enterprises' digital green innovation partners; (2) quantify the choice of partners for digital green innovation by bioenergy enterprises; (3) propose based on a dual combination empowerment niche digital green innovation field model.

Fuzzy set theory is combined into field theory to investigate resource complementarity. The successful application of the model to a real case illustrates how the model can be used to address the problem of digital green innovation partner selection. Finally, the standard framework and digital green innovation field model can be applied to the practical partner selection of bioenergy enterprises.

Digital green innovation technology of superposition of complementarity, mutual trust and resources makes the digital green innovation knowledge from partners to biofuels in the enterprise. The index rating system included eight target layers: digital technology innovation level, bioenergy technology innovation level, bioenergy green level, aggregated digital green innovation resource level, bioenergy technology market development ability, co-operation mutual trust and cooperation aggregation degree.

This study helps to (1) construct the evaluation standard framework of digital green innovation capability based on the dual combination empowerment theory; (2) develop a new digital green innovation domain model for bioenergy enterprises to select digital green innovation partners; (3) assist bioenergy enterprises in implementing digital green innovation practices.

The purpose of this paper is to examine the future prospects of innovative services linked to sustainable energy systems.

Service perspective is examined in the context of socio-technical transition and linked to the bottom-up and top-down social processes that foster sustainability. The foresight method applied is trend analysis.

Two groups of trends were identified: the trends driven by technological development and the trends focussing on societal, managerial and consumer issues. The former consists of renewable energy sources, hybrid solutions, smart grids and smart energy markets. The latter involves distributed energy production, demand response, optimisation of sustainability and the role of energy as an opportunity and as service. The study reveals that energy is increasingly understood as a comprehensive and tailor-made service solution for communities and individual households. Consumers will enter the energy market as active participants; it raises the need for many types of services.

Deepening of understanding is required in several topics of this study, and more formal methods of foresight are needed to test the generalisability of its qualitative results.

More effective policy measures are needed for fostering new services and social and system innovations in the area of sustainable energy. Innovation management practices should be developed in these areas.

The paper aims to narrow the research gap linked to foresight in services by examining services in the area of sustainable energy systems – one of the “grand challenges” today.

The allocation of risk among project participants is an important determinant of innovation success in construction projects. The purpose of this paper is to examine the capacity of risk allocation to encourage the implementation of environmental innovation, particularly sustainable energy innovation (SEI), within the private finance initiative (PFI) project delivery model.

A four-case qualitative research methodology is adopted within the context of the UK government’s building schools for the future programme.

The findings identify that SEIs are encouraged on the innovative projects by the perceived clarity, appropriateness, and manageability of the risks associated with the project’s energy performance on the PFI contract. The main SEIs were largely developed as strategies to manage long-term energy performance risks allocated to private sector actors and safeguard their long-term commitment to the project. However, the findings indicate that excessive perceived innovation-related risks, particularly capital cost risk, may restrict further SEIs to be implemented.

The qualitative case study approach adopted may limit the generalisability of the findings.

The study and provides practical guidance to policymakers and project managers in developing strategies to support the implementation of SEI in PFI projects.

The study attends to a significant gap in knowledge as there is a lack of conceptual and empirical work on managing innovative processes for sustainable energy in PFI projects.

This conceptual paper articulates an analytical framework, which collectively borrows from the concepts of Sectoral, National and Technological Innovation Systems, for examining the prospects for the emergence of renewable energy industries in a given country. In order to examine the dynamics within the national energy system under consideration, a list of system functions has also been compiled from the literature. It is believed that the adoption of such a functions approach has the potential to enhance our understanding of the process of, and drivers behind, the emergence and transformation of energy innovation systems. Towards the end of this paper, other theoretical concepts are acknowledged as also relevant for investigating the potential establishment of renewable energy industries. While every theoretical approach has its strengths and weaknesses, an effort has been made in this paper to justify the adoption of a suitable framework that is based on the systems of innovation approach.

The purpose of this paper is to examine the effects of energy technological innovation on carbon emissions in China from 2001 to 2016.

Conditional mean (CM) methods are first applied to implement our investigation. Then, considering the tremendous heterogeneity in China, quantile regression is further employed to comprehensively investigate the potential heterogeneous effect between energy technological innovation and carbon emission intensity.

The results suggest that renewable energy technological innovation has a significantly positive effect on carbon emission intensity in lower quantile areas and a negative effect in higher quantile areas. Contrarily, fossil energy technological innovation exerts a negative correlation with carbon emission intensity in lower quantile areas and a positive effect on carbon emission intensity in higher quantiles areas.

Considering that energy consumption is the main source of CO₂ emissions, it is of great importance to study the impact of energy technological innovation on carbon emissions. However, the previous studies mainly focus on the impact of integrated technological innovation on carbon emissions, ignoring the impact of energy technological innovation on carbon emissions mitigation. To fill this gap, we construct an extended STIRPAT model to examine the effects of renewable energy technological innovation and fossil energy technological innovation on carbon emissions in this paper. The results can provide a reference for the government to formulate carbon mitigation policies.

This study’s goal is to research and describe developing green technology and green business models, as well as their commercial advantages. However, it focuses on how old business breakthroughs and models may be transformed into new green technologies and innovations that can affect the global business environment. This research concentrates on the technology component of green technologies and provides information on a variety of relevant emerging green business models and innovations such as energy efficiency, renewable energy consumption, commodities and systems, environmental protection, nontoxic materials, and waste minimization, among others. Additionally, this research connects Emerging Green Technology (EGT) innovations to the business for sustainability. It also emphasizes the advantages of green technology adoption in business specially in developing economies.

For that purpose, a Systematic Literature Review (SLR) was performed based on the “inclusion/exclusion criteria” and “PRISMA flow diagram method”. The first screening and quality evaluation rejected 67 publications, 8 in eligibility and 10 in credibility. In the subsequent round, 45 papers out of 210 that met the search parameters were included to access the findings.

This study provides a foundation for future research into sustainable economic potential by examining the development, breakthroughs, obstacles, future trends and new research prospects of EGTs. As such, this research will serve as a helpful resource for economically growing nations looking to foster long-term growth in their businesses through sustainable development strategies.

The first limitation of the study is the generalization of the findings. The sample size of the study is limited. For that purpose, an SLR and “PRISMA flow diagram” methods were performed by “inclusion/exclusion criteria” for literature review. Except these, there are many new techniques of SLR. Further research with more sampling and sophisticated tests could produce better results for this study.

This research provides valuable insights for businesses and politicians seeking to protect the environment, promote economic growth and create a sustainable society. The findings will be particularly useful for emerging nations grappling with issues related to technical innovation, safe environmental practices, reliable renewable energy sources, and ecological and economic growth.

This study’s findings will aid in the design and implementation of new green technology and innovations in current businesses, which will assist in limiting climate change and eventually affect their move to sustainable growth paradigms. For emerging nations, this study will be useful in addressing issues about technical innovation, safe environmental conditions, reliable renewable energy sources as well as ecological and economic growth. According to our research results, the authorities of developing nations would gain from utilizing green business models and technology to spur economic development. Our findings should thus add to the current body of knowledge.

Energy and environment has gained traction within the field of entrepreneurship literature, but a comprehensive empirical study that examines the relationship between the cost of energy and small- and medium-sized enterprise (SME) innovation is an omission. Therefore, this novel study aims to examine the relationship between the cost of energy and SMEs innovation in Sub-Saharan Africa (SSA) by first examining the differential impact of the various generation sources on the price of electric energy. This research has enabled us to investigate and understand the transmission mechanism of increasing/decreasing electricity price on innovation decisions and activities of SMEs in SSA.

Using quantitative approach, with the data from the World Bank Enterprise and Innovation Follow-up Surveys, the study utilises a Tobit model to test whether the generation mix (renewable and non-renewable generation sources) increases or decreases electricity prices and examine the impact of the cost of electric energy on SMEs innovation in SSA.

The findings of this study shows that the cost of electricity affects negatively on SMEs innovation decision and activities of SMEs in SSA. The impact of renewables on the price of electricity has a larger magnitude relative to that of non-renewables. This finding has implications for policy makers promoting renewable energy without a policy design to tackle the unintended price effect of promoting renewable energy.

This is the first study to introduce cost of energy into an innovation model and to empirically examine the role of cost of energy for innovation activities of SMEs in SSA. Further, it examines the sources of generation on electricity price in SSA. The study contributes towards the empirical literature, and the findings also have implication for policy makers regarding the unintended consequences of promoting the transition to low-carbon electricity generation sources on SMEs via the cost of doing business implication.