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The purpose of this paper is to investigate the gaming equilibrium among fossil‐fueled generation companies (GenCos), wind generation companies, the grid company and customers participating in an emission trading (ET) market and the day‐ahead electricity market.

The complementarity method is used in this work to obtain the Nash equilibrium. By combining the Karush‐Kuhn‐Tucker (KKT) conditions of each kind of market participants with market clearing and consistency conditions, a mixed linear complementarity problem could be established.

Simulation results show that: the enforcement of ET could increase the share of generation outputs of wind generation units, and decrease the emissions from fossil‐fueled generation units; the bilateral contracts between GenCos and customers could limit the ability of exercising market power by GenCos; and when the emissions allowances allocated by the government shrink, the price of emissions allowance will increase and as the result the dispatching order of fossil‐fueled generation units will change, and the shares of generation outputs from wind generation units and combined‐cycle gas turbines increase. However, it should be mentioned that because the cost of wind generation is still very high, the increase of the share from wind generation units in the electricity market should mainly rely on cost reduction rather than the enforcement of ET.

The original contribution and the value of this study lie in developing a model framework to explore the gaming equilibrium that thermal and wind generating plants both play in the emissions trading environment and electricity market.

The purpose of this paper is to present how multi-criteria methods can be used in the process of National Energy Programme development and analysis of the electricity generation planning in relatively small energy systems.

Due to dependence on many input and output parameters which can be very complex and uncertain, energy systems have become extremely difficult to analyse and use of multi-criteria decision-making methods is essential. This paper presents and compares results of the analysis of electricity generation scenarios with three widely used multi-criteria methods, analytic hierarchy process (AHP), preference ranking organisation method for enrichment evaluation (PROMETHEE) and multi-attribute utility theory (MAUT).

AHP, due to its transparency and simplicity in comparison with PROMETHEE and MAUT, is the most suitable method for the analysis of the electricity generation decision alternatives in a small energy system, such as Slovenian. The case study proposed in this research confirms that transition from environment unfriendly fossil-fuelled economy to sustainable and climate friendly development requires a realistic approach, which must be based on excellent knowledge of alternative possibilities of development and especially awareness of new opportunities in exploitation of energy efficiency and renewable energy sources.

The case study presented in this research represents a repeatable and practical application of three widely used multi-criteria methods in the process of national energy policy development. It provides a methodological approach for finding realistic solutions to the problem of the future development challenges in small energy systems.

This study aims to examine the links between carbon emissions, electric vehicles, economic growth, energy use, and urbanisation in 15 countries from 2010 to 2020.

This study adopts seminal panel methods of moments quantile regression with fixed effects to trace the distributional aspect of the relationship. The reliability of methods is confirmed via fully modified ordinary least squares coefficients.

This study reveals that fossil fuel use, economic activity, and urbanisation negatively impact environmental quality, whereas renewable energy sources have a significant positive long-term effect on environmental quality in the selected panel of countries.

The main limitation of this study is the generalisability of the findings, as the study is confined to a limited number of countries, and focuses on non-renewable and renewable energy sources.

Finally, this study proposes several policy recommendations for decision-makers and policymakers in the 15 nations to address climate change, boost sales of electric vehicles, and increase the use of renewable energy sources.

This study calls for a comprehensive transition towards green energy in the transportation sector, enhancing economic growth, fostering employment opportunities, and improving environmental quality.

The purpose of this paper is to apply a systems thinking methodology to analyse Indonesia’s new and renewable energy (NRE) electricity sector to describe the complex interrelations between its actors and variables, identify the systemic patterns and formulate recommendations for the policymakers.

Systems thinking methodology is used to observe the NRE electricity system and compile the corresponding data into a meaningful diagram to describe and recommend solutions for the sector’s issues. Causal loop diagram is used as the main method in this study with a deeper analysis of system archetypes to uncover the system behaviour. Soft system methodology and critical system heuristic are used partially to clarify the system boundaries, cultivate the perspective of the involved actors and problem categorization.

A comprehensive diagram is developed to present interrelation between all the components within the NRE electricity sector in Indonesia and the expected impact of any act or change to the entire system. Based on the causal interrelations between variables, typical systemic patterns or archetypes are used to identify unproductive patterns towards achieving the NRE electricity sector objectives.

The findings provide an initial outlook on the variables and systemic patterns within the system as a critical consideration in the decision-making process and policy development for the NRE electricity sector.

At different points in time, energy harnessed from nuclear technology for commercial purposes has been qualified as atoms for peace, too cheap to meter, unsafe, sustainable, and emission free. We explore how these associations – between nuclear technology (a category used in a descriptive way) and qualities such as emission free (a category used in an evaluative way) – are materially anchored, institutionally performed, socially relevant, and entrepreneurially negotiated. By considering all these factors, our analysis shows that it is possible to understand how and why categories and their meanings continue to change over time. We flesh out the implications of these observations and suggest avenues for future research.

There has been a tendency in sustainability science to be passive. The purpose of this paper is to introduce an alternative positive framework for a more active and direct approach to sustainable design and assessment that de-couples environmental impacts and economic growth.

This paper deconstructs some systemic gaps that are critical to sustainability in built environment management processes and tools, and reframes negative “sustainable” decision making and assessment frameworks into their positive counterparts. In particular, it addresses the omission of ecology, design and ethics in development assessment.

Development can be designed to provide ecological gains and surplus “eco-services,” but assessment tools and processes favor business-as-usual. Despite the tenacity of the dominant paradigm (DP) in sustainable development institutionalized by the Brundtland Report over 25 years ago, these omissions are easily corrected.

The limitation is that the author was unable to find exceptions to the omissions cited here in the extensive literature on urban planning and building assessment tools. However, exceptions prove the rule. The implication is that it is not too late for eco-positive retrofitting of cities to increase natural and social capital. The solutions are just as applicable in places like China and India as the USA, as they pay for themselves.

Positive development (PD) is a fundamental paradigm shift that reverses the negative models, methods and metrics of the DP of sustainable development. This paper provides an example of how existing “negative” concepts and practices can be converted into positive ones through a PD prism. Through a new form of bio-physical design, development can be a sustainability solution.

This paper focuses on the terms of reference of the 1997 Kyoto Protocol of the United Nations Framework Convention on Climate Change, which was drafted to support environmental sustainability through the mitigation of global warming. The paper provides information on the main features of the protocol, especially the commercial incentives for companies in industrialised countries to reduce greenhouse gas emissions. Particular attention is paid to the role of the operations manager and strategist in the selection of processes, plant and equipment to meet these commercial incentives, and the location of industrial facilities under conditions of political and economic uncertainty. The paper demonstrates the importance of the political and economic factors influencing environmental investment decisions, particularly those factors which often lie outside the usual terms of reference of operations managers.

Environmental degradation resulting from human activities may adversely affect human health in multiple ways. Until now, policies aimed at mitigating environmental problems such as climate change, environmental pollution and damage to biodiversity have failed to clearly identify and drive the potential benefits of these policies on health. The conducted study assesses and demonstrates how specific environmental policies and instruments influence perceived human health in order to ensure input for a data-driven decision process.

The study was conducted for the 2004–2020 period in European Union (EU) countries with the use of dynamic panel data modeling. Verification of specific policies' impact on dependent variables allows to indicate this their effectiveness and importance. As a result of the computed dynamic panel data models, it has been confirmed that a number of significant and meaningful relationships between the self-perceived health index and environmental variables can be identified.

There is a strong positive impact of environmental taxation on the health index, and the strength of this relationship causes effects to be observed in the very short term, even the following year. In addition, the development of renewable energy sources (RES) and the elimination of fossil fuels from the energy mix exert positive, although milder, effects on health. The reduction of ammonia emissions from agriculture and reducing noise pollution are other health-supporting factors that have been shown to be statistically valid. Results allow to identify the most efficient policies in the analyzed area in order to introduce those with the best results or a mix of such measures.

The results of the authors' research clearly indicate the health benefits of measures primarily aimed at improving environmental factors, such as environmental taxes in general. The authors have also discovered an unexpected negative impact of an increase in the share of energy taxes in total taxes on the health index. The presented study opens several possibilities for further investigation, especially in the context of the rapidly changing geopolitical environment and global efforts to respond to environmental and health challenges. The authors believe that the outcome of the authors' study may provide new arguments to policymakers pursuing solutions that are not always easily acceptable by the public.