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Technological progress is a determining factor in the factors leading to economic and social well-being. Simultaneously, the development of a sustainable economy is based on the conservation of resources. In the energy sector, this fact can be corroborated with the reduction of energy consumption, thus increasing economic efficiency. On the one hand, improving energy efficiency contributes to increasing the quality of life, productivity, and, implicitly, the economy, but on the other hand, it leads to excess energy use – this behavioral change is known as rebound. The research estimates the rebound effect at the macroeconomic level for European countries in the period 2000–2019, referring the analysis to each country's gross domestic product (GDP) and energy consumption, as well as comparing the preaccession and postaccession periods of Romania in the EU space. The rebound effect is determined using multidimensional analysis methods, depending on the GDP of each country as well as the behavior of each in the use of energy resources in industry, agriculture, and services. Although the study results confirm the strong link between energy consumption and GDP at the level of each state, they did not show considerable changes between countries at the level of the two periods.

This paper aims to investigate how the COVID-19 pandemic has affected the interaction in a business-to-business (BtoB) setting and the emerging relational dynamics. The COVID-19 pandemic is having a strong impact on BtoB markets in terms of the stop of production, the difficulty of coping with payments, restrictions on the flows of people and goods within national and international markets. The paper discusses that the effects of worldwide lockdowns, social distancing and other related restrictions undermine one of the salient features of business relationships, namely interaction.

The paper relies on a qualitative interpretivist approach based on the data collected from in-depth interviews with key informants and secondary sources. The fashion industry is taken as an emblematic case, given the relevance of BtoB relationships, especially those between global fashion brands and their suppliers, and the dramatic impact of the pandemic.

The paper shows four effects in terms of relational dynamics. The freezing effect is the maintaining of interaction at minimum operating levels capable of ensuring survival for both interacting actors. The ripple effect can be conceived as a negative effect of the pandemic related to the weakening of the freezing effects in interactions along the supply chain. The rebound effect is a sudden increase in interactive processes among existing relationships. The vicious effect is a negative effect of the pandemic on the interaction that refers to the decay of existing interaction and their ending.

This study fits into the current period of the COVID-19 pandemic to stress the role of interaction involving people and businesses as a key to restart. The paper suggests managerial implications to respond to the pandemic in the short term and to set the basis for future opportunities.

The purpose of this paper is to pinpoint and analyse ethical issues raised by the dual role of artificial intelligence (AI) in relation to climate change, that is, AI as a contributor to climate change and AI as a contributor to fighting climate change.

This paper consists of three main parts. The first part provides a short background on AI and climate change respectively, followed by a presentation of empirical findings on the contribution of AI to climate change. The second part presents proposals by various AI researchers and commentators on how AI companies may contribute to fighting climate change by reducing greenhouse gas emissions from training and use of AI and by providing AI assistance to various mitigation and adaptation measures. The final part investigates ethical issues raised by some of the options presented in the second part.

AI applications may lead to substantial emissions but may also play an important role in mitigation and adaptation. Given this dual role of AI, ethical considerations by AI companies and governments are of vital importance.

This paper pinpoints practical ethical issues that AI companies and governments should take into account.

Given the potential impact of AI on society, it is vital that AI companies and governments take seriously the ethical issues raised by the dual role of AI in relation to climate change.

AI has been the subject of substantial ethical investigation, and even more so has climate change. However, the relationship between AI and climate change has received only limited attention from an ethical perspective. This paper provides such considerations.

The purpose of this paper is to introduce three storylines that address the relation between economic growth, technical innovation and environmental impact. The paper assesses if and how these storylines as guiding visions increase our range of future orientations.

The paper first explains its general outline and then explores different strands of literature to arrive at its analytical conclusions.

Pursuing the three storylines in a paradigmatic articulation creates paradoxes. The growth paradigm focuses on economic growth as its main goal. To overcome environmental degradation, products have to be substituted by environmentally friendly alternatives, but the continuous substitution of finite resources seems unlikely possible. The storyline of innovation sees technological development as a driver of economic progress, and holds that innovations allow the decoupling of economic growth from environmental impact, a claim that is compromised by the occurrence of rebound effects. The degrowth storyline holds that economic growth has to be stopped altogether, but is unclear how this can be done.

By articulating paradigmatic perspectives as storylines, a new understanding on how these perspectives can be figured as a constructive repertoire of guiding visions and not as mere theory-based descriptions.

Avoided emissions refer to greenhouse gas emission reductions that are a result of using a product or are emission removals due to a decision or an action. Although there is no uniform standard for calculating avoided emissions, market actors have started referring to avoided emissions as “Scope 4” emissions. By default, making a claim about Scope 4 emissions gives an appearance that this Scope of emissions is a natural extension of the existing and accepted Scope-based emissions accounting framework. The purpose of this study is to explore the implications of this assumed legitimacy.

Via a desktop review and interviews, we analyse extant Scope 4 company reporting, associated accounting methodologies and the practical implications of Scope 4 claims.

Upon examination of Scope 4 emissions and their relationship with Scopes 1, 2 and 3 emissions, we highlight a dynamic and interdependent relationship between quantification, commensuration and standardization in emissions accounting. We find that extant Scope 4 assessments do not fit the established framework for Scope-based emissions accounting. In line with literature on the territorializing nature of accounting, we call for caution about Scope 4 claims that are a distraction from the critical work of reducing absolute emissions.

We examine the implications of assumed alignment and borrowed legitimacy of Scope 4 with Scope-based accounting because Scope 4 is not an actual Scope, but a claim to a Scope. This is as an act of accounting territorialization.

The anonymity of the Internet supports an increasing number of deviant behaviors such as secret affairs. This paper aims to investigate whether religiosity has a negative relationship with the incidence of secret affairs in cyberspace and how it moderates the substitution effect between the use of online and off-line channels for such deviant behaviors.

The authors constructed a cross-sectional county-level dataset containing data on US religious adherents' ratios and actual expenditures on a social website related to extramarital affairs. The data were analyzed by ordinary least squares and two-stage least squares regression models.

In general, religiosity has a negative relationship with secret affairs in cyberspace. It also moderates the relationship between using online (secret affairs websites) and off-line (entertainment facilities) channels for extramarital affairs. The deterrent effect of religiosity is weakened in religious communities with diversified religious teachings/structures and stricter requirements.

This work enriches the understanding of the role of religiosity in online deviant behaviors and provides essential insights for policymakers (e.g. in relation to spillover effects of social norms in cyberspace).

At the core of understanding the practice of marketing sustainable tourism lies an appreciation not only of the evolution of the concept of sustainability, but also of the co-productive process between consumer and producer. This chapter establishes a conceptual overview on sustainable tourism and its alternative terms (ecotourism, responsible tourism, soft tourism, ethical tourism). Its origins stem from the pivotal works of the Brundtland Report. The author considers the complex structures that interact with the tourism industry, such as the social, environmental and economic impacts of tourism in vulnerable or sensitive climates. For example, in Central Thailand, cities such as Bangkok have experienced rapid urbanisation as well as burgeoning tourism. This has resulted in high levels of air pollution from traffic congestion and manufacturing, while escalation in the tourism industry places burdens on waste management systems. Further strains on waste management in both the Eastern and Southern regions, particularly along the coastlines, which suffer from high levels of coastal litter, are attributed to the rising tourism industry – a process other popular destinations have undergone, such as Costa Rica. Examination of cases such as Thailand will elicit further discussion of public awareness of the impacts of the tourism industry in vulnerable climates. Lastly, the chapter will look at cases of demotion or de-marketing of tourism in certain regions in order to limit the number of visitors, such as that of the Blue Mountains National Park in Australia. In addition to the case studies reviewed in this chapter, there is a practice exercise in developing an environmental performance index, based on existing data on country-specific environmental performance.

Logistics as a sector has a key role to play in reducing greenhouse gas emissions and in reducing the dependency of our economy on non-renewable energy sources. The challenges are enormous: by 2050 the sector needs to have achieved about 50% lower fossil fuel use and CO₂ emissions. If freight volumes grow according to expectations, this requires over 70% less CO₂ emissions per unit of transport. This chapter explores the options for reducing CO₂ emissions from freight transport and their reduction potential, and analyses whether the logistic sector would be likely to achieve the required reduction based on its intrinsic drive for cost reduction alone.

In this conceptual chapter we identify options for sustainable logistics and discuss the necessary economic conditions for their deployment using a simple cost/benefit analysis framework. We distinguish between three regimes of measures for improving sustainability: efficiency measures with net negative costs (‘low hanging fruit’), cost-neutral measures and measures that allow to reach societal targets at net positive costs. Policy measures are discussed that may help the sector to implement cost-effective greenhouse gas abatement measures that, in the absence of incentives, go beyond the point of lowest cost from an end user perspective.

Sufficient energy saving options are available to be implemented in the short to medium term, which can lead to operational cost savings with a short return on investments period. The potential contribution of the logistics sector to sustainability is larger, however, as logistics can make large steps ahead in sustainability with cost neutrality or with small cost increases. The full potential has been underrated by many stakeholders and should be explored further.

Efficiency measures are a necessary but insufficient condition for sustainable logistics. The industry will need to go beyond cost saving measures, or even cost-neutral measures to reach the long-term energy saving and emission reduction targets for freight transport. We provide a systematic presentation of these options and discuss the additional necessary measures.

The main objective of the quantitative study is to ascertain the relationship between the circular economy (CE) and carbon emissions. And also, the study examines the threshold beyond which the quality of governance reduces carbon emissions.

The autoregressive distributed lag approach is employed for the econometrics analysis. The study employed quarterly data from 2006Q1 to 2017Q4 on Ghana.

The results indicated that, although the CE had a positive and significant effect on carbon emissions, the moderating term had an adverse and significant effect on carbon emissions. This result suggests that to mitigate carbon emissions, a robust and efficient quality of institutions should be sustained. Finally, the study also identified a quality of governance threshold of 1.155 beyond which a shift to a CE would result in a reduction in carbon emissions.

The study recommends that policymakers should initiate policies that would enhance quality governance.

The main contributions of the study are that the paper ascertained the threshold beyond which quality of governance assists circular economic practices to mitigate carbon emissions. Also, the study revealed that quality of governance is a catalyst to promote circular economic practices in reducing carbon emissions. Finally, the study ascertains the long-run effect of the variables of interest on carbon emissions.

This study analyses the effect of fuel efficiency increase on travel demand in the city of Berlin. Vehicle technologies such as advanced driver assistance systems can help drivers to save fuel and thus lower exhaust emissions on a network level. In order to obtain high political endorsement among different stakeholders, the analysis of such effects which have an impact on overall fuel and emission savings are highly relevant. Recent testing of so called advanced driver assistance systems showed their ability to reduce fuel consumption and lower traffic emissions by giving driving recommendations to drivers.

Two effects on driving were simulated using a travel demand model: the increase in fuel prices which will take place in the coming years and a possible increase in vehicle fuel efficiency. Comparing these scenarios allowed us to calculate the effect of price change and the rebound effect of fuel efficiency gains using standard methods for transport elasticities. The simulation was run with the travel demand model TAPAS and the city of Berlin was the network used as a case study.

As fuel prices increase over time, driving tends to decrease. Driving increases, however, if vehicles become more fuel efficient and the result is the observed rebound effect. On a city network level, this also translates to lower emission savings than expected from the vehicle fuel efficiency gains. The rebound effect which we estimated matches similar findings in the literature, specifically in terms of their magnitude.

We used a simulation to compare scenarios of city travel demand. The result allowed us to estimate changes to the desired variables of fuel efficiency and fuel prices. For those interested in the effects of vehicle efficiency gains on city level these results are highly recommended for consideration.

The proposed framework for analysing rebound effects helped to assess the impacts of energy efficiency technologies on a city level.