Search results

Without precedent, green bonds confront, for the first time since their emergence, a twofold crisis context, namely the Covid-19-Russian–Ukrainian crisis period. In this context, this paper aims to investigate the connectedness between the two pioneering bond market classes that are conventional and treasury, with the green bonds market.

In their forecasting target, authors use a Support Vector Regression model on daily S&P 500 Green, Conventional and Treasury Bond Indexes for a year from 2012 to 2022.

Authors argue that conventional bonds could better explain and predict green bonds than treasury bonds for the three studied sub-periods (pre-crisis period, Covid-19 crisis and Covid-19-Russian–Ukrainian crisis period). Furthermore, conventional and treasury bonds lose their forecasting power in crisis framework due to enhancements in market connectedness relationships. This effect makes spillovers in bond markets more sensitive to crisis and less predictable. Furthermore, this research paper indicates that even if the indicators of the COVID-19 crisis have stagnated and the markets have adapted to this rather harsh economic framework, the forecast errors persist higher than in the pre-crisis phase due to the Russian–Ukrainian crisis effect not yet addressed by the literature.

This study has several implications for the field of green bond forecasting. It not only illuminates the market participants to the best market forecasters, but it also contributes to the literature by proposing an unadvanced investigation of green bonds forecasting in Crisis periods that could help market participants and market policymakers to anticipate market evolutions and adapt their strategies to period specificities.

The global economy is growing very fast, and it is also facing environmental challenges. Due to increased economic activities, global warming is rising as a result of greenhouse gas emissions. Concepts like green finance and green investments are emerging to battle climate issues. The present study empirically examines the impact of green bonds on carbon dioxide (CO₂) emissions in developing countries, as these countries are producing 63% of CO₂ emissions around the globe.

To check this impact, pooled ordinary least squares (OLS), fixed effect and generalized method of moments (GMM) techniques are applied using the annual data of 65 developing countries from 2008 through 2021.

The results indicate that the overall effect of green bonds on CO₂ emissions is negative, as more issuance of green bonds reduces CO₂ emissions, confirming results from the existing empirical literature. The study found that more foreign direct investment (FDI) and urbanization lead to more CO₂ emissions, while increase in trade openness helps reduce CO₂ emissions. It was found that promoting green bonds will help to promote environmentally friendly projects that will help to reduce CO₂ emissions. Rapid urbanization has led to more energy demand for various industries like manufacturing, transportation and residential sectors, which leads to more CO₂ emissions.

The policymakers in these countries should make policies that help in reducing carbon emission by increasing green bonds and FDI in supporting projects that are environmentally friendly. Therefore, to mitigate such current and future issues, policymakers in developing countries need to give serious attention to this area to fulfill sustainable development goals.

This study presents a pioneering examination of green bonds and CO₂ emissions in 65 lower- and middle-income countries (developing countries). We have tried to cover all developing countries that are causing more greenhouse gas emissions and need to shift to green finance strategies. It will be a contribution to the body of knowledge regarding the role of green bonds in reducing CO₂ emissions. The present study will help in assessing the importance of green bonds in bringing low-carbon economies.

The purpose of this study to brought new dimensions by inserting market conditions and investor sentiments as independent variable measure their impact on government policy formulation and sustainable development. This research also measures the moderating effective stakeholder engagement. Previous research has focused on demystifying the relationship between green bonds and sustainable development.

The analysis part of the research is initiated by factor analysis on the sample size of 100. After the construction of appropriate statements matching the research objective, it was circulated to the respondents of northern region of India. The sampling technique was random in nature through which data analysis on 700 respondents was done. For meeting research objectives present research applies PLS algorithm on the conceptual model framed through review of literature.

Out of all independent variables green bond issuance is having statistically significant impact on government policy formulation and investors’ sentiment is having statistically significant impact on sustainable development. Rest all other pairs are statistically insignificant. For an investor, it is necessary to understand that how its sentiments impacts government policy formulation and the health of ecology.

The research produced results with management implications for practitioners and policy makers that are very significant to the fields of sustainability, green finance and environmental policy. Green bonds also influence government policy, illustrating how green financing may revolutionize environmental laws and regulations.

The social implications of this revelation are considerable. The research enhances knowledge about sustainable development by emphasizing the importance of green bonds in supporting environmentally friendly activities. It allows for transparent reporting, increasing social accountability and reputation while attracting environmentally conscious consumers and fostering community trust. According to the survey, investor sentiment and their enthusiasm for eco-friendly investments may push more money to efforts that are good for society and the environment. This study enhances consciousness about sustainable finance, which has the potential to inspire beneficial social shifts towards a more environmentally and socially equitable future.

These social ramifications manifest themselves in various socioeconomic and environmental issues of the society in addition to credit and public policy. Second, it is evident that green bond emissions are influencing government policy, demonstrating the power of financial instruments to encourage environmentally beneficial social outcomes by providing officials with an incentive to modify environmental regulations.

This study aims to fill a gap in the literature by providing evidence for a “greenium” in the primary Sukuk market. The term “greenium” is defined in the study as the lower cost of capital or reduced yields that green Sukuk may offer compared to non-green Sukuk, reflecting investor willingness to accept lower returns for green investments. Therefore, the main aim of this study is to investigate the potential role of “greenium” as an incentive for issuers to fund eco-friendly projects, contributing to a sustainable environment.

This study uses propensity score matching techniques to provide an accurate comparison of pricing differences between green and non-green Sukuk issued in global primary markets during the period 2017–2022.

The results reveal that green Sukuk signify a “greenium” effect. This suggests that investors find green Sukuk attractive, willing to accept lower returns. Given the positive investor response to green initiatives in the market, issuers can capitalize on the growing demand for green Sukuk, leading to low-cost funding.

This study makes an important contribution to the literature at the interface of Islamic finance and environmental sustainability. In particular, it stands out by focusing on the pricing dynamics in the green Sukuk market and highlights the potential benefits of issuing green Sukuk to help achieve sustainability goals while providing access to lower cost of capital for the transition to a low-carbon economy.

Green sukuk (GS) is an emerging financial tool that has gained momentum in recent years owing to increased attention being given to Islamic finance, socially responsible investing (SRI) and sustainability agendas. Yet, GS studies are fragmented, dispersed and lack comprehensive reviews. As a response to this gap in academia, this paper aims to synthesize the knowledge on GS into thematic clusters, providing a more comprehensive understanding of the subject and offering guidelines for future research.

This study implemented a systematic literature review approach to analyse studies on GS that were published prior to and including June 2023. The PRISMA 2020 protocol was used in the sample selection process. A total of 62 peer-reviewed journal articles from six databases were identified and categorized into various themes.

The results suggest that previous research has predominantly focused on the areas of GS advantages, drivers, market development and potential sectors, along with challenges and recommendations to improve the market. However, it was found that some other aspects, including GS pricing, performance and purchasing intention, require further research attention. The analysis also indicated that the use of theories in the GS context was limited, with only five theories employed in just four out of the 62 articles examined. Moreover, this paper’s findings revealed that the studies employing quantitative and empirical analysis methods were limited to four articles. Geographically, most of the studies were conducted in Indonesia and Malaysia, while other countries with high-potential markets (e.g. GCC) had limited GS practices and studies.

The results of this study have several practical implications. For investors, a review of GS will provide greater insight into the understanding of the GS market, helping them make better investment decisions. For policymakers, this paper empowers them with the knowledge to make informed decisions regarding GS markets by highlighting key recommendations identified in the literature. Finally, the proposed guidelines can be used in future research.

While Green Bonds have received significant attention, there is a dearth of research on GS and those that exist are fragmented. A systematic literature review is necessary to identify knowledge gaps for future research.

The rapid global economic development in the last century, led by industrialization, brings environmental issues to the forefront as a serious concern. While some country-specific studies are undertaken to find the effectiveness of different mechanisms for funding environment-friendly projects, to the authors' knowledge, no study has been conducted to examine the impact of green bonds (GBs) on CO2 emissions for a global sample. Against this backdrop, this study examines the general impact of GBs on CO2 emissions and its differential impact for developed and developing countries and country categorizations based on sustainable development.

The study selects a sample of 44 countries from 2016–2020. The authors use trend analysis and box plots to analyze the present GBs and CO2 emissions scenarios. Further, the panel data regression model is used to examine the overall impact of GBs on CO2 emissions and uncover the variation in such relationships regarding country-level economic and sustainable development. Generalized methods of moments (GMM) and instrumental variables (IV) models are used for robustness.

The yearly trend of GBs is upward at the global level, while CO2 emissions exhibit a marginal decline during the study period. However, significant variations are observed in such trends between developed and developing countries and country-level sustainable development. The authors' regression results show that GBs significantly negatively impact CO2 emissions globally. In addition, the effect of GBs on CO2 emissions is strongly negative for developing countries, while the same influence becomes weak for developed nations. Similar variations exist between countries based on sustainable development.

This is the first study in extant literature to examine such a relationship for a global sample of 44 countries. Further, this study makes a novel contribution by analyzing the variations in the GBs-CO2 emissions nexus for developed and developing countries and country-level sustainable development.

Given the importance of green finance in a discussion of energy efficiency and clean energy, it is critical to evaluate its implications for the growth of renewable energy. This study examines the impact of green finance on renewable energy development in Singapore.

The dynamic ordinary least squares (DOLS) regression was used in this work to test such a connection.

Using the DOLS for the period 2000–2020, it was discovered that green finance aids renewable energy development in Singapore. Additionally, the findings revealed that economic growth, oil prices, energy consumption, carbon dioxide emissions and institutional factors are all positively associated with renewable energy growth, resulting in a boost in renewable energy development.

Hence, as a result, the monetary authorities of Singapore, such as financial institutions, non-governmental organisations and corporations, should prioritise renewable energy projects under green finance initiatives to boost renewable energy growth. This may assist in raising investment flows to green projects; hence, accelerating the adoption of renewable energy.

Increased Singapore's initiatives to accelerate green finance have prompted this study to examine the research question of whether green finance has a significant impact on renewable energy growth. Thus, to the best of the authors’ knowledge, this will be the first empirical study to explore the impact of green finance on renewable energy growth in the case of Singapore.

This study empirically evaluates the effect of China’s 2016 Green Financial System (GFS) framework on corporate green development, focusing on the role of green investment in achieving sustainability.

This study uses a quasinatural experiment design to combine difference-in-difference and propensity score matching methods for analysis. It examines 799 polluting and 1,130 nonpolluting firms from 2013 to 2020, enabling a comprehensive assessment of the GFS framework’s influence.

This study affirms a statistically significant positive influence of the GFS framework on escalating green investment levels in polluting firms. Robust sensitivity analyses, encompassing parallel trend assessment, entropy balancing test, and alternative proxies, corroborate these findings. A mediation analysis identifies the implementation of an environmental management system as the potential underlying mechanism. A cross-sectional analysis identifies high financial slack, high profitability, mandatory CSR regulations, and marketization level as the influencing factors.

The study’s findings have critical implications for policymakers, regulators, and companies. Demonstrating the effectiveness of the GFS framework in driving green investment underscores the importance of aligning financial systems with sustainability goals.

This study contributes novel empirical evidence on the positive effect of China’s GFS framework on corporate green development. The quasinatural experiment design, coupled with comprehensive sensitivity analyses, strengthens the robustness of the findings.

The transition to green growth goals requires the concerted efforts of the whole society. Enterprises, as important players in the market, play a key role in promoting green and sustainable development. The rise of the concept of sustainable development has enabled more enterprises to disclose environmental, social and governance (ESG) information, and ESG behaviour is regarded as a positive strategic behaviour to implement the new development concept. This paper aims to explore the influence of ESG performance on enterprise green innovation.

This study applies a fixed effect model and the regulation effect of empirical analysis to explore the influence of ESG performance on enterprise green innovation. The object of investigation is 2014–2021 Shanghai and Shenzhen A-share listed companies.

The results of an empirical analysis outline the following conclusions: (1) ESG performance has a significant effect on enterprise green innovation, mainly by easing the pressure of the financing enterprise, fitting stakeholders’ environmental protection concept and obtaining employee organizational identity that influences enterprise green innovation. (2) Government regulation positively regulates the role of ESG performance in promoting the green innovation of enterprises. (3) Heterogeneity analysis found that the strengthening role of ESG performance on the green innovation of enterprises is stronger in green invention patents, state-owned enterprises and nonheavily polluting industries.

Despite the valuable findings, this study has a few limitations. Thus, it is necessary to extend the object of investigation by adding other Asian countries, which allows for comparison analysis and allocating best practices for promoting green innovation. Besides, innovation and ESG performance depend on the quality of institutions. In this case, the future study should incorporate the indicators that reveal the quality of institutions (corruption, transparency, digitalisation, voice, accountability, etc.).

According to the above conclusions, this paper proposes suggestions at the level of enterprises, government and investors. At the enterprise level, ESG responsibility should be strengthened, ESG information should be consciously disclosed and the quality of ESG disclosure should be improved. Government departments should play the role of supervisors, improve the construction of ESG information disclosure systems and promote the formation of ESG systems. At the social level, investors should improve the ESG information status and pay more attention to the ESG performance of enterprises.

This study fills the scientific gaps in the analysis impact of ESG performance on the green innovation of enterprises. This paper contributes to the theoretical landscape of ESG efficiency by developing approaches based on two empirical models: testing the impact of enterprise ESG performance on green innovation and testing whether government regulation plays a regulatory role in the relationship between ESG performance and green innovation. Besides, this study analysed the ESG performance and green innovation within the following categories: heavy and nonheavy polluter industries; state and nonstate-owned enterprise groups.

The aim of the paper is to rank and analyze the key strategies to sustainable finance adoption in the manufacturing sector using Fuzzy Delphi method (FDM), Interpretive Structural Modeling (ISM) and MICMAC (impact matrix cross-reference multiplication applied to a classification) analysis.

The study develops a novel framework to identify and analyze the mutual relationships among set of sustainable policies using extensive literature survey and experts opinion. Initially, the study found 14 strategies to implement sustainable finance with the help of vast literature. Then, the list of identified factors were screened through Fuzzy Delphi Method (FDM). Based on driving and dependence power, the final list of factors are divided into three categories.

The study findings reveal that “environmental rules and practices”, “financial incentives, tax reduction and subsidy”, have strongest driving power for promoting sustainable financial system in Pakistani manufacturing sector. Furthermore, “environmental awareness” and “long term vision” are found to be highly influenced by other corresponding elements in a system.

The ISM approach assists professionals, academics, and managers in identifying and ranking policies in implementing green business techniques. The hierarchical representation of ISM results provides a roadmap for decision-makers to navigate and prioritize factors effectively, facilitating the implementation of strategies that contribute to sustainable growth within organizations.

The study results provide interesting clues regarding green finance policies that provide the foundations, incentives, protections or other provisions that support the ecological conservancy’s mission. Specifically, the findings guide that government must offer research grants to private enterprises, research and development institutions, and universities to promote environmental protection and develop transformative technologies such as waste recycling, renewable energy, carbon capture, and power consumption.

The exploration of strategies for sustainable finance adoption with the help of mixed methodological approach and classification of these strategies on the basis of importance level is a new attempt in the field of manufacturing sector.