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This chapter discusses the role of energy production in the global capitalist economy and its relationship to the Sustainable Development Goals (SDGs), with particular focus on SDG 8 – ‘Promote sustained, inclusive and sustainable economic growth, full and productive employment and decent work for all’ – and SDG 12 – ‘Ensure sustainable consumption and production patterns’. It achieves this by first introducing the Club of Rome report the Limits to Growth which utilised a system dynamics computer model to simulate the interactions of five global economic subsystems (population, food production, industrial production, pollution and consumption of nonrenewable natural resources) (Meadows, Meadows, Randers, & Behrens III, 1972), the results of which posed serious challenges for global sustainability, to better understand and contextualise unconventional (also referred to as ‘extreme’) and ‘renewable’ energy production as examples of the paradoxical nature of sustainable development in the global capitalist economy. Demonstrating that unconventional energy production methods are much less efficient, more carbon intensive, more environmentally destructive and just as unsustainable, and that renewable energy relies on the extraction of nonrenewable natural resources such as lithium that result in similar environmental and social issues, this chapter will interrogate this and ask the question – is the capitalist system in its current form capable of making ‘sustainable development something more than the oxymoron it appears?’.

Purpose – The purpose of this chapter is to investigate the relationship between emotion and European energy forward prices of oil, gas, coal and electricity during normal times and periods of extreme price movements.

Methodology/Approach – We use a biorhythm approach characterized by the seasonal affective disorder (SAD) variable to study the impact of emotion on energy markets. Normal times and periods of extreme price movements are approximated by OLS and quantile estimations, respectively.

Findings – We use European energy forward prices of oil, gas, coal, and electricity. European equity future index (Dow Jones Euro Stoxx 50) and euro/dollar US exchange rate are used as control variables for economic and financial environment. Estimating OLS and quantile regressions, we find that seasonal patterns have a significant impact during extreme volatility periods only. Further investigations reveal that the SAD effect is significant during periods of price decrease, but insignificant during price increase times. The out-of-sample predictive ability properties show that our “SAD model” outperforms significantly the pure “macroeconomic” one.

Originality/Value of chapter – This topic is novel in energy finance since I use psychological background theory to understand energy price dynamics. I illustrate the relevance of our approach by comparing the out-of-sample predictive ability of our model against macroeconomic one. My results could be considered to improve energy porfolio allocation.

The modular dynamic façade (MDF) concept could be an approach in a comfort-centric design through proper integration with energy-efficient buildings. This study focuses on obtaining and/or calculating an efficient angle of the MDF, which would lead to the optimum performance in daylight availability and energy consumption in a single south-faced official space located in the hot-arid climate of Yazd, Iran.

The methodology consists of three fundamental parts: (1) based on previous related studies, a diamond-based dynamic skin façade was applied to a south-faced office building in a hot-arid climate; (2) the daylighting and energy performance of the model were simulated annually; and (3) the data obtained from the simulation were compared to reach the optimum angle of the MDF.

The results showed that when the angle of the MDF openings was set at 30°, it could decrease energy consumption by 41.32% annually, while daylight simulation pointed that the space experienced the minimum possible glare at this angle. Therefore, the angle of 30° was established as the optimum angle, which could be the basis for future investment in responsive building envelopes.

This angular study simultaneously assesses the daylight availability, visual comfort and energy consumption on a MDF in a hot-arid climate.

Social movements are sites of knowledge production. Green criminologists are interested in activism both as an informal response to environmental harms/crimes and in their explorations of the possibility of activist green criminology. In this chapter, the author calls attention to a related issue – the significance of knowledge produced in social movements. Drawing on her study of the resistance movements against hydropower in Turkey, the author discusses how movement knowledge can contribute to green criminology in relation to the (i) complexity of harm and victimisation; (ii) politics of knowledge in identifying harm; and (iii) limits of formal processes in preventing harm. The author concludes by highlighting the importance of recognising activists as subjects who produce knowledge, in academic engagement with activism.

This paper aims to examine the cross-quantile correlation and causality-in-quantiles between green investments and energy commodities during the outbreak of COVID-19. To be specific, the authors aim to address the following questions: Is there any distributional predictability among green bonds and energy commodities during COVID-19? Is there exist any directional predictability between green investments and energy commodities during the global pandemic? Can green bonds hedge the risk of energy commodities during a period of the financial crisis.

The authors use the nonparametric causality in quantile and cross-quantilogram (CQ) correlation approaches as the estimation techniques to investigate the distributional and directional predictability between green investments and energy commodities respectively using daily spot prices from January 1, 2020, to March 26, 2021. The study uses daily closing price indices S&P Green Bond Index as a representative of the green bond market. In the case of energy commodities, the authors use S&P GSCI Natural Gas Spot, S&P GSCI Biofuel Spot, S&P GSCI Unleaded Gasoline Spot, S&P GSCI Gas Oil Spot, S&P GSCI Brent Crude Spot, S&P GSCI WTI, OPEC Oil Basket Price, Crude Oil Oman, Crude Oil Dubai Cash, S&P GSCI Heating Oil Spot, S&P Global Clean Energy, US Gulf Coast Kerosene and Los Angeles Low Sulfur CARB Diesel Spot.

From the CQ correlation results, there exists an overall negative directional predictability between green bonds and natural gas. The authors find that the directional predictability between green bonds and S&P GSCI Biofuel Spot, S&P GSCI Gas Oil Spot, S&P GSCI Brent Crude Spot, S&P GSCI WTI Spot, OPEC Oil Basket Spot, Crude Oil Oman Spot, Crude Oil Dubai Cash Spot, S&P GSCI Heating Oil Spot, US Gulf Coast Kerosene-Type Jet Fuel Spot Price and Los Angeles Low Sulfur CARB Diesel Spot Price is negative during normal market conditions and positive during extreme market conditions. Results from the non-parametric causality in the quantile approach show strong evidence of asymmetry in causality across quantiles and strong variations across markets.

The quantile time-varying dependence and predictability results documented in this paper can help market participants with different investment targets and horizons adopt better hedging strategies and portfolio diversification to aid optimal policy measures during volatile market conditions.

The outcome of this study will promote awareness regarding the environment and also increase investor’s participation in the green bond market. Further, it allows corporate institutions to fulfill their social commitment through the issuance of green bonds.

This paper differs from these previous studies in several aspects. First, the authors have included a wide range of energy commodities, comprising three green bond indices and 14 energy commodity indices. Second, the authors have explored the dependency between the two markets, particularly during COVID-19 pandemic. Third, the authors have applied CQ and causality-in-quantile methods on the given data set. Since the market of green and sustainable finance is growing drastically and the world is transmitting toward environment-friendly practices, it is essential and vital to understand the impact of green bonds on other financial markets. In this regard, the study contributes to the literature by documenting an in-depth connectedness between green bonds and crude oil, natural gas, petrol, kerosene, diesel, crude, heating oil, biofuels and other energy commodities.

The Middle Eastern terrain is expected to encounter unprecedented climatic conditions before the turn of the next century (circa. 80 years), emanating from extreme heat waves that exceed the critical threshold of habitable conditions. This threatens to cause a significant challenge that is exacerbated by a gap between the supply and demand of affordable energy. Therefore, the purpose of this study is to investigate the potential of utilising nearly zero-energy buildings (nZEB) to improve the performance of residential buildings in Iraq and the Middle East.

This study uses Iraq as a case-study because of the breadth of climatic conditions experienced across its wide-reaching territory and also because of the recent critical infrastructural challenges following the geo-political crisis. Three virtual buildings were simulated for Baghdad, Mosul and Basra cities to narrow the confines of the region to achieve nZEB under current and future climatic weather scenarios.

The findings showed that in all three cases studies, the buildings located within the three climatic regions in Iraq could achieve both significant annual energy reductions as well as nZEB standards which could range from 41 per cent to 87 per cent for current climatic conditions and 40 per cent to 84 per cent by 2080. An analysis has also been carried out for the three case-study cities which revealed significant operational-cost savings achievable through nZEB buildings.

There are currently limited studies that investigate such positive potential for nZEB strategies under the current and predicted future climatic scenarios in the Middle East.

Over the last two decades the average floor area of new houses in Australia has increased significantly. This has coincided with greater expectations of thermal comfort in homes. In certain locations, the result has been an escalation of the use of large mechanical air conditioning systems in houses. Since it is predicted that climate change will lead to an increase in the frequency and severity of extreme weather events such as heatwaves, the future maintenance of thermal comfort in houses in an affordable manner is likely to be challenging. This will have implications not only for the health and comfort of the occupants but also for peak energy loads. A compounding factor is the likelihood of increased energy prices caused, in part, by financial mechanisms aimed at minimising greenhouse gas emissions. There will be sections of the community, such as the elderly and the less well off, that will be particularly vulnerable to these combined factors.

This paper explores design strategies that could be incorporated in new and existing houses to improve thermal comfort for residents during heatwaves. It is shown that during such periods, behaviour change, thermal comfort requirements and extra energy consumption have a strong influence on devising solutions for this challenge. The results of a pilot study are given that indicate opportunities for creating cool refuges in the existing dwelling stock.

This study aims to assess the role of financial inclusion (FI) in moderating the incidence of entrepreneurship on energy poverty in Ghana.

The assessment is made by using pooled data and two-stage least squares. The exposition builds from the 7th (GLSS7) and 6th (GLSS6) rounds focusing on the Ghana Living Standards Survey (GSS, 2014, 2019) that is collected by the Ghana Statistical Service (GSS) from 10 principal regions in the country.

The findings show that entrepreneurship has an unconditional positive incidence on energy poverty while the interactive incidence between entrepreneurship and FI on energy poverty is negative. The corresponding FI policy thresholds that should be exceeded in order for FI to effectively moderate entrepreneurship for negative outcomes in energy poverty are between 0.154 and 0.280 index for the full sample; 0.187 index for the rural subsample; 0.200 and 0.333 index for the male sample. Thresholds are not computed for the rural and female subsamples because at least one estimated coefficient that is needed for the computation of such thresholds is not significant. Policy implications are discussed.

This study has complemented the existing literature by assessing how FI can be used to influence the nexus between entrepreneurship and poverty in Ghana.