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In an era marked by heightened geopolitical uncertainties, such as international conflicts and economic instability, the dynamics of energy markets assume paramount importance. Our study delves into this complex backdrop, focusing on the intricate interplay the between traditional and emerging energy sectors.

This study analyzes the interconnections among green financial assets, renewable energy markets, the geopolitical risk index and cryptocurrency carbon emissions from December 19, 2017 to February 15, 2023. We investigate these relationships using a novel time-frequency connectedness approach and machine learning methodology.

Our findings reveal that green energy stocks, except the PBW, exhibit the highest net transmission of volatility, followed by COAL. In contrast, CARBON emerges as the primary net recipient of volatility, followed by fuel energy assets. The frequency decomposition results also indicate that the long-term components serve as the primary source of directional volatility spillover, suggesting that volatility transmission among green stocks and energy assets tends to occur over a more extended period. The SHapley additive exPlanations (SHAP) results show that the green and fuel energy markets are negatively connected with geopolitical risks (GPRs). The results obtained through the SHAP analysis confirm the novel time-varying parameter vector autoregressive (TVP-VAR) frequency connectedness findings. The CARBON and PBW markets consistently experience spillover shocks from other markets in short and long-term horizons. The role of crude oil as a receiver or transmitter of shocks varies over time.

Green financial assets and clean energy play significant roles in the financial markets and reduce geopolitical risk. Our study employs a time-frequency connectedness approach to assess the interconnections among four markets' families: fuel, renewable energy, green stocks and carbon markets. We utilize the novel TVP-VAR approach, which allows for flexibility and enables us to measure net pairwise connectedness in both short and long-term horizons.

This chapter from a brief review of the relevant literature on the energy markets points out the changes in the relationships between energy companies and customers through the Web. The objective is to highlight the changes of the energy markets thanks to the web demonstrating that it is able to ensure the raising of the switching rates and hence the competition, goal of the liberalization of public services. To this end, the authors will use secondary data from Accenture researches about the perceptions of customers and energy companies around the relations established via the web, and the CUAC for the switching mode performed in the State of Victoria in Australia.

This chapter seeks to place the Paris agreement on anthropogenic greenhouse gases (COP21) in a wider picture on how the global solar photovoltaic (PV) market has been created and shaped over decades. The chapter discusses the role of solar PV actors, as well as other actors in the market-shaping process. The aim is to show how the COP21 can be interpreted in a wider historical perspective.

The chapter builds on expert interviews conducted after the COP21, as well as secondary data on historical studies on evolution of solar energy markets in various countries.

Although scientists and entrepreneurs have been important in creating and shaping the global solar PV market, it is noted that other actors have also had an influence on the market development. Particularly, politicians are seen as playing a crucial role through legislation and funding. Unfortunately for the solar PV market, support has fluctuated over time. The COP21 provides a clear pathway for positive support, and it is expected to bind governments for pro-solar politics even during low prices of fossil fuels and economic downturn.

The chapter provides an overview of what has happened in the history of global solar PV market. It gives reasoning as to why the COP21 is important in securing support for the solar PV market. Thus, it can provide reasoning as to why the COP21 can make a difference.

This is the first academic study that portrays the COP21 against historical evolution of the global solar PV market.

The chapter analyses the role of smart grid technology in the German energy transition. Information technologies promise to help integrate volatile renewable energies (wind and solar power) into the grid. Yet, the promise of intelligent infrastructures does not only extend to technological infrastructures, but also to market infrastructures. Smart grid technologies underpin and foster the design of a “smart” electricity market, where dispersed energy prosumers can adapt, in real time, to fluctuating price signals that register changes in electricity generation. This could neutralize fluctuations resulting from the increased share of renewables. To critically “think” the promise of smart infrastructure, it is not enough to just focus on digital devices. Rather, it becomes necessary to scrutinize economic assumptions about the “intelligence” of markets and the technopolitics of electricity market design. This chapter will first show the historical trajectory of the technopolitical promise of renewable energy as not only a more sustainable, but also a more democratic alternative to fossil and nuclear power, by looking at the affinities between market liberal and ecological critiques of centralized fossil and nuclear based energy systems. It will then elucidate the co-construction of smart grids and smart markets in the governmental plans for an “electricity market 2.0.” Finally, the chapter will show how smart grid and smart metering technology fosters new forms of economic agency like the domo oeconomicus. Such an economic formatting of smart grid technology, however, forecloses other ecologically prudent and politically progressive ways of constructing and engaging with intelligent infrastructures.

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 world's energy markets remain uncertain, with no accurate, optimistic forecasts. The authors of the research note that the energy crisis has a cumulative effect; its beginning has changed the rules of energy cooperation in the market. This contributed to increased demand, prices and competition. The European Union (EU) is a major market participant whose policies affect all energy connections. Russia is an energy core that offers its energy sources to balance the market. This is the economy; there is no talk of ‘political pressure.’ As a result, the authors conclude that the project ‘Nord Stream-2’ is not a political project but a purely commercial one, which will help reduce even spot prices in the European gas market because all other countries that extract gas cannot meet the growing energy needs of European countries.

This paper aims to analyze the volatility transmission between an energy stock index and a financial stock index in emerging markets during recent high instability periods. The study considers the impact of both the period under analysis and the data frequency on the direction and intensity of the contagion, as well as the effect of the potential spillovers on the risk measures. These questions still lack definitive answers and have become more relevant in a context of financially unsettling events such as COVID-19 crises.

This study employs an extension of the dynamic conditional correlation (DCC) model that allows for the time-varying dependence relationship between the variables. This dependence is analyzed at daily, weekly and monthly basis using data from the Bloomberg platform on energy and stock market indices for emerging markets between 2001 and 2021.

The results for a sample spanning from 2001 to mid-2021 show bidirectional volatility transmission on a daily basis, whereas only evidence of volatility transmission from the financial to the energy exists for weekly and monthly frequencies. However, considering different subsamples of daily data, the authors only find volatility transmission from financial (energy) index to the energy (financial) during the Great Recession (COVID-19) as a consequence of the different source of the shock and transmission channels.

This study reveals that volatility transmission between energy and stocks in emerging markets has changed and presents a unidirectional pattern from energy to financial markets during the COVID-19 period in contrast to calm and the sub-prime crisis intervals. These results differ from previous studies, focused on global markets, that show bidirectional spillovers during this period.

This study reviews present trends, barriers and outlooks for the future as seen by actors in the energy advice services market in Germany. As Germany is one of Europe’s leading markets for energy services, this review aims to highlight energy sector management issues that exist throughout Europe.

This study combines qualitative and quantitative research approaches, using seven qualitative stakeholder interviews and a semi-structured survey covering over 500 energy advisors. Based on the present market, this study seeks to identify barriers against further market development, regulatory measures that can promote market development and business models for energy services likely to emerge in the future.

Significant barriers persist, despite a strong government commitment to support development of the energy services markets. The barriers encourage market actors to maintain the status quo rather than use innovate new service models. To support innovative business models, action is needed by both industry associations and the government to create a stronger demand pull for advice services.

This paper provides a new sectoral overview of Europe’s biggest energy service market as seen from a market actor perspective. It focuses on the analysis of barriers and business models to derive needs for further capacity building within the sector and for political governance to trigger further market dynamics.

The purpose of this study is to provide a foundational understanding of the internationalization of small- and medium-sized enterprises (SMEs) operating in the context of renewable energy markets. The focus is on exploring and identifying the managerial-, firm- and environmental-level antecedents to their international expansion, which also furthers the understanding of the distinct SME’s internationalization context within the renewable energy market.

The study adopts a qualitative multiple case study approach in a Finnish SME context and identifies the antecedents’ relative prominence at the managerial, firm and environmental levels.

The findings indicate that, although internationalization antecedents of renewable energy SMEs differ owing to market forces such as trends, networks and changing regulatory policies, they share antecedents similar to those of SMEs in other industries.

The main limitation of this study is its single-country home market empirical context. Future studies should expand analysis to different regulatory and regional environments.

To the authors’ knowledge, there are few studies that explore the antecedents of SMEs’ internationalization, especially in the renewable energy market context. Hence, this study contributes to the international business and entrepreneurship literature by illustrating the fundamental managerial-, firm- and environmental-level antecedents to the internationalization of SMEs operating in the renewable energy business. In addition, it highlights the peculiarities of renewable energy SMEs’ internationalization, suggesting that extant research on SMEs’ internationalization has not adequately captured the intricacies present in the internationalization of renewable energy enterprises.

This paper aims to use a lead market approach for each of 25 European Union member states (EU‐25) to assess the likelihood that locally preferred innovation designs in the Energy Production Sector will become successful in other countries. Based on the lead market analysis, it aims to outline implications for innovation management.

The paper identifies and operationalises indicators to measure and compare the lead market properties of the energy production sector at international level. The indicators used are taken from the Community Innovation Surveys, the Eurostat/OECD PPP and Expenditure Database, the UNCTAD FDI‐Database, the EU Business Demography Statistics, and the Eurostat Foreign Trade Database (Comext).

French energy production companies proved the most effective at orienting their product innovations towards the needs of customers in international markets. The companies in other countries within the EU trade on home markets that exhibit barriers to innovation in at least two of the lead market factors. Therefore, the lead market, France, should be the focal point for the development of global innovation designs. By focusing on innovation designs which respond to the preferences within the French lead market, the innovation management of a company can leverage the success experienced in the lead market for the product's global market launch.

Indicator values were not always available for lead market properties of the energy production sector in every member state. This was particularly true when it came to measuring market structure advantage and transfer advantage.

Market research on the lead market takes centre stage when product innovations are in the development phase. Companies in countries that do not have sufficient above‐average lead market attributes must target product innovations to fit the preferences of users in the lead market – in this case, the French clients of the energy production sector. The observation of the lead market can take on varying degrees of intensity. These range from simply making use of listening posts in the lead market to testing and/or launching new products there.

This paper is the first to apply the lead market approach to systematically investigate demand‐specific innovation drivers in the energy production sector. Its consideration of the demand side of innovation is of the utmost interest for the more recent strains of innovation research as well as for innovation management in the energy production sector itself.