A multi-stakeholder decision support system for local neighbourhood energy planning

Hettinga, Sanne; Nijkamp, Peter; Scholten, H.J.

doi:10.1016/j.enpol.2018.02.015

Cited by 34 publications

(18 citation statements)

References 30 publications

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“…SDSS helps to integrate the science, data and models with decision-making at different levels of operations, policy and governance in a sustainable way over the long term [17]. A multi-stakeholder decision support system, containing data, models, tools, and a design process can assist local authorities in preparing an integrated plan for fighting COVID-19 ( Figure 1); in order to facilitate multi-stakeholder planning, a design process (Figure 1) is required [18]. In this design, the multiple stakeholders are involved in the decision-making process from the problem structuring stage to the scanning of alternatives to identify the efficient one stage, followed by the last stage a set of well-studied and carefully selected efficient alternatives [19].…”

Section: Interlinking Of Multi-stakeholder Spatial Decision Support Smentioning

confidence: 99%

Section: Synthesis Of Literature Reviewmentioning

confidence: 99%

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Multistakeholder Participation in Disaster Management—The Case of the COVID-19 Pandemic

et al. 2021

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The coronavirus disease 2019 (COVID-19) pandemic is affecting society’s health, economy, environment and development. COVID-19 has claimed many lives across the globe and severely impacted the livelihood of a considerable section of the world’s population. We are still in the process of finding optimal and effective solutions to control the pandemic and minimise its negative impacts. In the process of developing effective strategies to combat COVID-19, different countries have adapted diverse policies, strategies and activities and yet there are no universal or comprehensive solutions to the problem. In this context, this paper brings out a conceptual model of multistakeholder participation governance as an effective model to fight against COVID-19. Accordingly, the current study conducted a scientific review by examining multi-stakeholder disaster response strategies, particularly in relation to COVID-19. The study then presents a conceptual framework for multistakeholder participation governance as one of the effective models to fight against COVID-19. Subsequently, the article offers strategies for rebuilding the economy and healthcare system through multi-stakeholder participation, and gives policy directions/decisions based on evidence to save lives and protect livelihoods. The current study also provides evidence about multidimensional approaches and multi-diplomatic mechanisms during the COVID-19 crisis, in order to examine dimensions of multi-stakeholder participation in disaster management and to document innovative, collaborative strategic directions across the globe. The current research findings highlight the need for global collaboration by working together to put an end to this pandemic situation through the application of a Multi-Stakeholder Spatial Decision Support System (MS-SDSS).

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Section: Interlinking Of Multi-stakeholder Spatial Decision Support Smentioning

confidence: 99%

Section: Synthesis Of Literature Reviewmentioning

confidence: 99%

Multistakeholder Participation in Disaster Management—The Case of the COVID-19 Pandemic

et al. 2021

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“…Energy governance is aimed at addressing some of these challenges. However, the complexity of energy challenges requires the involvement of various actors and stakeholders in proffering solutions that addresses the diverse aspects of these challenges [3,4]. Indeed, addressing these challenges requires a polycentric energy governance system as most energy related challenges cannot be easily addressed within a single agency or regime [5,6].…”

Section: Introductionmentioning

confidence: 99%

The Governance of Energy Transition: Lessons from the Nigerian Electricity Sector

Edomah

2021

Preprint

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BackgroundThe rising need for energy transition towards more sustainable energy sources requires a rethink in the governance of energy systems. Arguably, policy makers have very important roles in governing transitions in any given society through established institutional frameworks. It has also been argued that energy infrastructure choices are determined by institutional dynamics and structures. However, what are the influences underlying changes in energy systems and what lessons can we draw from them for the governance of energy transition? This study focuses on understanding the dynamics of energy transition governance within the Nigerian electricity sector with the aim of drawing lessons that impact on energy transition and energy systems change.MethodsUsing explorative research tools, this research explores the dynamics of energy transition governance within the Nigerian electricity sector with the aim of drawing lessons that impact on energy transition and energy systems change. Data from primary and secondary sources in documentary archives and other published sources that links to the Nigerian historical energy infrastructure provisions were used for analysis in order to draw lessons on energy transition dynamics in Nigeria.ResultsThe study revealed that there were three important factors that had a direct impact on energy transition and energy systems change within Nigeria’s electricity sector. These are: (1) Changing perceptions and goals (during the period leading up to Nigeria’s independence, 1890 – 1960s); (2) Direct government interventions in energy infrastructure provisions (1940s – 1970s); and (3) Major changes in market rules (from 2005 and beyond).ConclusionsThe study concludes by highlighting that: (1) there is a need for government institutions to tackle energy access issues that addresses the needs of the poor; (2) it is imperative to explore technological options that are more sustainable; and (3) there is a need to address energy consumption patterns that are more energy intensive. Indeed, available energy resources, technological changes in electricity supply systems, and the ‘geographies of energy’ are major factors that influence energy production and consumption dynamics. All of these needs to be considered as energy decisions are primarily political choices.

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“…In this study, the TH variable used refers to the Hybrid TH model with a more strategic contribution from these variables [4]. There is a lack of studies linking the role of TH with knowledge transfer and innovation systems [11][12][13], while the specific contributions to innovation system variables are usually ignored [14], especially when considering their contribution to a knowledge transfer policy and innovation system development. This study addresses these problems that contribute to the integration of the TH variable in knowledge transfer and innovation systems.…”

Section: Research Articlementioning

confidence: 99%

Assessing impact of triple helix variables to knowledge transfer variable and innovation systems

Prasetio¹

2021

TURCOMAT

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The purpose of this study was to examine the role of the triple helix (TH) variable in knowledge transfer and innovation systems. TH is divided into 3 variables, namely Industry, University and Government. This study examined three TH knowledge transfer variables and innovation systems and the items variables that supported them. This study involved 360 respondents who were selected through an interception and online survey approach and had 4 hypotheses. This study used a structural equation model to test the hypothesis. The findings showed that TH which consisted of 3 variables had a direct relationship with knowledge transfer. Meanwhile, knowledge transfer was directly related to innovation systems. Although the TH concept had been explored in some previous literature, the role of TH and knowledge transfer had not been the concern of many researchers in creating innovation systems. Implications for practitioners, these findings confirmed that Innovation systems can be formed from an early age starting from the university environment and good government policies. These findings also indicated that knowledge transfer related to TH services needed to be studied from a broader perspective. Therefore, handling TH required synergy and a special strategy to take advantage of knowledge transfer in order to create an innovation system. Originality of this study, integrated the TH dimension with knowledge transfer and Innovation Systems.

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A multi-stakeholder decision support system for local neighbourhood energy planning

Cited by 34 publications

References 30 publications

Multistakeholder Participation in Disaster Management—The Case of the COVID-19 Pandemic

Multistakeholder Participation in Disaster Management—The Case of the COVID-19 Pandemic

The Governance of Energy Transition: Lessons from the Nigerian Electricity Sector

Assessing impact of triple helix variables to knowledge transfer variable and innovation systems

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