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In February 2022, the Finance Minister of India in the Union Budget 2022 announced that the government proposed to issue sovereign green bonds to mobilize assets for green infrastructure. These bonds are a sort of fixed-income instrument where the money raised from investors is used exclusively to finance projects having a positive environmental impact. The announcement was in sync with India's commitment to achieving net-zero carbon emissions by 2070. However, many issues come with it such as the complexity of green data, and the lack of uniform standards to measure the impact of green investments leading to allegations of “greenwashing,” among others. Its solution lies in the digital tokenization of green bonds using blockchain technology. Foreign investors scout for green bonds issued by growing markets like India, which have attractive valuations and good growth prospects. Marketing and issuing green bonds properly would have a far greater potential to bring investment to the security markets and the much-needed advancement in the sustainable sector. It is much more likely that green bonds will bring investment to the security markets and much-needed advancement to the sustainable sector if they are marketed and issued through digital tokenization. Financial regulators and policymakers can create a global framework for the application of blockchain technology in sustainable finance. This might entail tokenizing eco-friendly assets, issuing eco-friendly bonds, trading renewable energy and 2-2 carbon credits in a decentralized ecosystem, and decentralizing crowdfunding for eco-friendly enterprises.

This chapter seeks to demonstrate how blockchain technology can help issue green bonds and increase the overall efficiency of green finance in the economy. It also aims to scrutinize how such digital tokenization of green bonds would affect the security market and increase the standards of environmental, social, and governance (ESG) worldwide. While discussing how this process is shaping up and impacting the economies of various countries, it also seeks to provide suggestions to be taken into consideration while adopting the digital tokenization of green bonds.

This study proposes a theoretical model for measuring the greenness factors of a firm. We develop the multifactor utility function and find that the proportion of investment in green bonds is higher if greenness factors account for by a firm and vice versa. Moreover, we further develop the global aspects of greenness measures which identify how much level of greenness is maintained by a firm to make the environment green. In terms of reduction in emissions based on global measures, we report that the proportion of investment in green bonds is higher. This study argues that the difference between firm-related and global measures of greenness refers to distortion in portfolio allocation. Lastly, we compare the results of five Asian countries and report that Japanese firms are appropriately following the greenness measures while the firms operating in developing countries including Indonesia, Malaysia, Pakistan, and Thailand are far behind in implementing the greenness measures.

This paper aims to examine the comovement among green bonds, energy commodities and stock market to determine the advantages of adding green bonds to a diversified portfolio.

Generic 1 Natural Gas and Energy Select SPDR Fund are used as proxies to measure energy commodities, bonds index of S&P Dow Jones and Bloomberg Barclays MSCI are used to represent green bonds and the New York Stock Exchange is considered to measure the stock market. Granger causality test, wavelet analysis and network analysis are applied to daily price for the select markets from August 26, 2014, to March 30, 2021.

Results from the Granger causality test indicate no causality between any pair of variables, while cross wavelet transform and wavelet coherence analysis confirm strong coherence at a high scale during the pandemic, validating comovement among the three asset classes. In addition, network analysis further corroborates this connectedness, implying a strong association of the stock market with the energy commodity market.

This study offers new evidence of the temporal association among the US stock market, energy commodities and green bonds during the COVID-19 crisis. It presents a novel approach that measures and evaluates comovement among the constituent series, simultaneously using both wavelet and network analysis.

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.

This paper aims to investigate the impacts of green bond issuance on the environment while taking into account the moderating role of issuing countries’ institutional quality.

The analysis is based on a longitudinal data set covering 171 countries and territories during 2007–2018. The authors rigorously account for endogeneity issues using two-stage least squares estimation and a set of instrumental variables for green bond issuance volume.

The overall results confirm the positive environmental impacts of green bonds in reducing carbon dioxide and greenhouse gas emissions, enhancing renewable energy consumption rate and accelerating the progress towards sustainable development goals (SDGs). However, these effects are contingent upon the levels of institutional development of the issuing countries in a way that green bond issuance only benefits the environment when the institutional quality has reached a minimum level.

The results provide important policy implications for countries in their efforts to prevent environmental degradation and achieve SDGs.

This paper contributes to the existing literature by providing a macro-level evaluation of the environmental impact of green bonds, hence, enabling policy implications to be drawn for countries to achieve their SDGs. The analysis is more comprehensive using a wide range of indicators for environmental performance. To the best of the authors’ knowledge, this paper is also one of the first attempts to examine the moderating effect of institutions on the environmental impact of green bonds.

This paper aims to providea comprehensive review of the concepts and definitions of green finance, and the importance of “green” impact investments today. The core challenge in combating climate change is reducing and controlling greenhouse gas emissions; therefore, this study explores the solutions green finance provides emphasizing their impact on the environment and firms' financial performance. With increasing attention to the concept of green finance, multiple forms of green financial tools have come to fruition; the most prominent are green bonds.

This paper compiles a comprehensive green bond dataset, presenting a statistical study of the evolution of the green bonds market from its first appearance in 2006 until 2021.

The green bond market has seen massive growth over the years reaching $1651.92bn as of 2021. Findings show that green bonds are working towards shifting from high carbon-emitting energy to renewable energy, which is vital to economic development and growth. In congruence, green bonds are aligned with the United Nation's sustainable development goals (SDGs) amounting to $550bn for 2020, with the five most covered SDGs amounting to over 60%.

With growing worldwide concern for global warming, green finance became the fuel that pushes the world to act in combating and mitigating climate change. Coupled with adopting the Paris Agreement and the SDGs, Green finance became a vital tool in creating a pathway to sustainable development, as it connects the financial world with environmental and societal benefits.

This paper investigates the static and dynamic directional return spillovers and dependence among green investments, carbon markets, financial markets and commodity markets from January 2013 to September 2020.

This study employed both the quantile vector autoregression (QVAR) and time-varying parameter VAR (TVP-VAR) technique to examine the magnitude of static and dynamic directional spillovers and dependence of markets.

Results show that the magnitude of connectedness is extremely higher at quantile levels (q = 0.05 and q = 0.95) compared to those in the mean of the conditional distribution. This connotes that connectedness between green bonds and other assets increases with shock size for both negative and positive shocks. This further indicates that return shocks spread at a higher magnitude during extreme market conditions relative to normal periods. Additional analyses show the behavior of return transmission between green bond and other assets is asymmetric.

The findings of this study offer significant implications for portfolio investors, policymakers, regulatory authorities and investment community in terms of carefully assessing the unique characteristics offered by each markets in terms of return spillovers and dependence and diversifying the portfolios.

The study, first, uses a relatively new statistical technique, the QVAR advanced by Ando et al. (2018), to capture upper and lower tails’ quantile price connectedness and directional spillover. Therefore, the results possess adequate power against departure from mean-based conditional connectedness. Second, using a portfolio of green investments, carbon markets, financial markets and commodity markets, the uniqueness of this study lies in the examination of the static and dynamic dependence of the markets examined.

The study aims to consolidate knowledge, explore current dynamics, understand knowledge progression, identify primary research streams, present content analysis and provide future research directions for green bonds research.

The authors reviewed 150 high-quality Scopus-indexed articles on green bonds in two stages. First, they use bibliometric analysis to understand the field's most relevant articles, authors, institutions and journals. Second, they analysed 49 curated articles to identify and analyse primary research streams and offer research directions.

The authors report the most influential articles, authors, journals and clusters based on article co-citation networks. They identify five green bond research streams: issuance, greenium and its drivers, connectedness, drivers and barriers, and sustainable development.

Using different databases, tools, sample periods or article screening criteria may yield different results. The study's findings are robust to document selection or analytical tools.

The study helps researchers, practitioners, regulators, policymakers, issuers and investors understand green bond issuance, pricing and connectedness research.

This unique study sheds light on publication trends, the most influential articles, authors, journals and the conceptual and intellectual structure of the field. It identifies and elaborates primary research streams, succinctly summarizes the most influential articles and offers future research directions.

This study aims to explore how organisations use institutional language in Green Bond reports to explain and justify their activities using language that describes and reflects narratives while simultaneously constructing and shaping ideology. The paper mobilises Wodak and Meyer’s critical discourse analysis (CDA) to examine reports and related documentation relating to Green Bonds issued in France.

The study uses three legitimating discourses: technocratic, environmental and social and business performance to develop a linguistic perspective that permits contributions to existing knowledge in the area.

The analysis attempts to identify the discursive strategies used to legitimise Green Bond issuance via claims linked to environmental management improvements and business activities’ social impact.

The study contributes to the critical literature on organisational legitimation and responsibility, investigations of Green Bond narratives and an understanding of broader environmental reporting in the financial sector.