Energy Investment Research Articles

Challenging energy transition and green jobs: climate policy obstruction across borders

Challenging energy transition and green jobs: climate policy obstruction across borders

Trends and Drivers of Greenhouse Gas Emissions in India: A Decadal Analysis (2010-2020)

This paper analyses trends and determinants of greenhouse gas (GHG) emissions in India in 2010-2020, the decade with some of the fastest economic growth rates and the increased awareness of environmental issues. The research pays attention to India, the world's third-largest emitter of GHG, which will be analysed regarding emissions in four sectors: energy, industry, agriculture, and waste management. A time series analysis of data drawn from national and international agencies, such as the World Bank and India's Ministry of Environment, Forestry, and Climate Change, was applied in this study. Statistical analysis and data visualisation were performed using the R software. The key findings show an increase of 42% in the total emissions of GHG over the last decade, with the energy sector dominating at 68% in 2020. Other significant contributors were industry (20%), agriculture (9%), and waste (3%). Growth in population, along with accompanying urbanisation and industrial expansion, is cited as the main factor responsible for emission rise. However, there are also indications of decoupling between growth in the economy and emissions intensity. The study analyzes the greenhouse gas emission trends for major emitters between 2010 and 2020, in India. The dynamic panel data model analyses indicate signs of decoupling of emissions from economic growth in developed economies and the role of renewable energy and carbon pricing. Research findings further indicate that stronger climate policy and investment in clean energy is the necessity to decrease global emissions.The paper identifies policy issues that require strong activity in enforcing efficiency measures, fastening the shift toward krenewable sources of energy, and effective sustainable planning and waste management practices in urbanisation processes. In that respect, examination of policies like the PAT scheme and promotion of electric vehicles has shown where more aggressive implementation may be seen as necessary to ensure India's climate commitments. This elaborate decadal review finds most of its utility within the framework of policy designing for sustainable development and climate change mitigation by policymakers and stakeholders in the Indian scenario.

Challenging the Green Machine: Rejoinder to Schwartzman

ABSTRACT We respond to David Schwartzman’s critique of our paper. We argue that his “solar communism,” his approach to the question of energy return on energy investment (EROI), and his critique of Georgescu-Roegen’s fourth law of thermodynamics situate him as a left ecomodernist, albeit with sympathy for degrowth. Schwartzman’s take on these issues illustrates how the ontological separation of human ingenuity and global social metabolism obscures the question of for whom a high-energy modern society is possible. This is further exacerbated by his commitment to the notion of perfect recycling, which has been proven practically impossible in inorganic systems.

Building economic stability through effective natural resource management and renewable energy investment in GCC countries

Building economic stability through effective natural resource management and renewable energy investment in GCC countries

Configuration path identification of investment risk in China's overseas energy projects: An exploration based on LDA and fsQCA

AbstractChina's overseas energy investment is subject to various risks and uncertainties. This study uses the latent Dirichlet allocation (LDA) model for text mining to comprehensively identify risk factors for overseas energy project investment. Then, we utilize fuzzy set qualitative comparative analysis (fsQCA) to explore the configuration path of risk based on 25 overseas energy project investment cases. The results show that there are six categories of investment risks in overseas energy projects, namely: political risk, economic risk, resource risk, environmental risk, social risk, and national relations risk. The occurrence of a single risk is insufficient to cause an investment in an overseas energy project to fail. Rather, it is only when multiple risks occur together and act in concert that the project is disadvantaged. The configuration paths of risk can be categorized into four types, which are geopolitical dominance type, socio‐economic dominance type, resource‐environment dominance type, and comprehensive type. From a holistic perspective, this study examines the cumulative impact of multiple risk factors on the investment effect of energy projects, illustrating the inherent complexity of investment risks associated with overseas energy projects. This study provides direction for investors and policymakers to develop effective risk management programs and sound investment strategies.

Strategic MARCOS Model for Optimizing Renewable Energy Investments Under Pythagorean Hesitant Fuzzy Assessments

For sustainable growth, investments in renewable energy must be maximized. Maximizing investments in renewable energy opens the door to a more successful and environmentally friendly future. Analyzing technological viability, cost‐effectiveness, regulatory compliance, and environmental impact are all part of this optimization process. This paper delves into a sophisticated methodology designed to tackle uncertainties in decision‐making by leveraging the innovative concept of Pythagorean hesitant fuzzy sets (PHFSs). We defined aggregation operations and distance measures for PHFS. After that, we introduced Measurement of Alternatives and Ranking According to the Compromise Solution (MARCOS), a novel methodology under PHFS, it is a robust tool acknowledged for navigating complex decision scenarios with multiple criteria. Following that, we showcased a case study on enhancing renewable energy investments through an AI‐based strategy for sustainable development, utilizing the newly developed MARCOS algorithm. The study highlights the significance of its adaptability and efficiency in practical applications. Furthermore, we compared this methodology with the Technique for Establishing Order Performance by Similarity to the Ideal Solution (TOPSIS), offering insights into their respective strengths. This offers a concrete demonstration of its real‐world utility and potential impact in decision‐making scenarios. Finally, in the last, we conclude the whole study.

The green response of financial inclusion, infrastructure development and renewable energy to the environmental sustainability: A newly evidence from OECD economies.

Recently, economic environmental degradation is being considered a leading chellenge in forefront of policy analysts. Thus, the present study introduces core environmental determinants such as infrastructure development, finacail inclusion, gross domestic product, population, and renewable energy consumption. Financial inclusion (FI) is crucial for attaining a environment. The present study selects the Organization for Economic Co-operation and Development (OECD) over period of 2004-2022. The results show that financial inclusin, infrastructure development(ID), and renewable energy (RE) play a vital influence in decreasing carbon emissions. The OECD nations should surge their investment in renewable energy and infrastructure development. Furthermore, to ensure long-term environmental sustainability, it is imperative to broaden the scope of FI. Thus, the inclusion of green infrastructure is essential in order to shift from the utilization of fossil fuels to RE sources. Similarly, policymakers should incorporate FI into climate actions at the local, national, and regional levels. However, it is crucial to promote the economic shift towards RE sources in order to mitigate the environmental impact from humn and economic activities. This study is conducive to the execution of the United Nations (UN) Sustainable Development Goals (SDG).

Private equity renewable energy investments in India.

India is anticipated to grow its total energy consumption and CO2 emissions by more than any other country over the next two decades. India will have to attract around $400 billion in financing to realize its 500GW target of renewable energy by 2030. Given complex renewable energy sector risks, rapidly scaling-up risk-friendly private equity financing will be critical to achieve India's target. This research seeks to answer questions regarding the motivation, perceptions, strategies, and investment behavior of private equity investors in the Indian renewable energy sector. The answers to these questions presented herein have been distilled from primary research interviews with 40 executive-level sector practitioners and literature analysis. This research finds that global-macro forces and sector-specific appeal are attracting varied investors to the sector. These investors primarily deploy capital in existing developer platforms, creating control developer platforms, and Infrastructure Investment Trusts. Critical investment criteria and value creation strategies of these investors are comprehensively discussed. Emerging investment opportunities to create new renewable energy sector value by partnering with companies across the power sector value chain are also presented. This research concludes that despite significant sector risks, investors remain confident they can achieve outsized risk-adjusted returns relative to most other global infrastructure assets. This optimism stems from the confidence of investors in their own ability to manage risk-return dynamics through judicious investment selection and management strategies, the sector's uniquely large demand growth and market size, and the Indian central government's perceived strong commitment to finding creative solutions to chronic sector issues. Lessons from the investment insights, themes and factor analyses discussed herein can be drawn upon in evaluating renewable energy investments and policymaking worldwide.

Linking climate change, energy transition and renewable energy investments to combat energy security risks: Evidence from top energy consuming economies

Linking climate change, energy transition and renewable energy investments to combat energy security risks: Evidence from top energy consuming economies

Research on the impact mechanism of power structure based on green certificate for renewable energy investment decision in the electricity supply chain

Research on the impact mechanism of power structure based on green certificate for renewable energy investment decision in the electricity supply chain

Strategic Feasibility Outlook for Blue Energy Investments using an Integrated Decision-Making Approach

Strategic Feasibility Outlook for Blue Energy Investments using an Integrated Decision-Making Approach

A systematic risk spillover perspective for modelling China's energy security: Firm-level evidence.

The concept of energy security has gained extensive attention in academic interest. We use firm-level data to evaluate China's energy security from 2013 to 2022. The newly devised energy security index reveals temporal variability, particularly during extreme events. Employing a risk diffusion network matrix, we uncover that risks encountered by energy firms can substantially compromise energy security through two key channels: corporate productivity and energy investment efficiency. Further causality tests reveal that disruptions like COVID-19 have intensified the link between China's energy security and geopolitical risks, suggesting a bidirectional causality. However, the results indicate a unidirectional predictive relationship flowing from global geopolitical risks to China's energy security. This study deepens theoretical insights into energy security and offers vital environmental management implications, underscoring the role of strategic risk management in sustaining energy resilience and efficiency amidst geopolitical and global challenges.

Revealing factors influencing hydrogen energy investments using PLS-SEM

Revealing factors influencing hydrogen energy investments using PLS-SEM

Effective engagement in computerized cognitive training for older adults.

Computerized cognitive training (CCT) is a frontline therapy to prevent or slow age-related cognitive decline. A prerequisite for CCT research to provide clinically relevant improvements in cognition is to understand effective engagement, i.e., the pattern of energy investment that ensures CCT effectiveness. Even though previous studies have assessed whether particular variables (e.g., gamification) predict engagement and/or CCT effectiveness, the field lacks a systematic approach to understanding effective engagement. Here, by comprehensively reviewing and evaluating engagement and adjacent literature, we propose a standardized measurement and operational framework to promote effective engagement with CCT targeting cognitive decline in older adults. We suggest that promoting effective engagement with CCT has two key steps: 1) comprehensively measuring engagement with CCT and 2) identifying which aspects of engagement are essential to achieve the pre-specified outcome of clinically relevant improvements in cognition. The proposed measurement and operational framework of effective engagement will allow future research to maximize older adults' engagement with CCT to slow/prevent age-related cognitive decline.

Exploring how Renewable Energy Innovations and Green Technologies can Drive Sustainable Economic Growth

This study seeks to explore the relationships between renewable energy innovations, green technology adoption, sustainable economic growth, and environmental performance. The data were gathered through a structured survey of 300 respondents analyzed using SPSS through descriptive statistics, correlation, regression, and ANOVA. Descriptive analysis shows that renewable energy R&D investment and green technology adoption have been moderately improved (Mean = 1.9267 and Mean = 1.9367, respectively). However, high costs and absence of infrastructure act as a deterrent for further development (Mean = 1.9900). GDP adjusted for environmental considerations grew at a moderate pace (Mean = 2.0167), the perceived carbon emissions reduction effect was low (Mean = 1.9033), and share of renewable energy in total energy production was low (Mean = 1.9567). There were statistically significant positive correlations, with a high correlation between renewable energy R&D investment and green technology adoption (r = 0.670) and environmental performance (r = 0.975). Regression analysis further confirmed that the expenditure of renewable energy R&D was an important determinant for the growth of GDP (B = 0.535, R² = 0.288, p < 0.001). ANOVA was found to be statistically significant with the impact of adoption levels of green technology on carbon emission reduction perception (F = 9.564, p < 0.001). Post hoc Tukey HSD analyses indicated a significantly different mean in higher versus moderate adoption levels. The results conclude that R&D investment in renewable energy, favorable policies, and adopting green technology have a vital function in attaining sustainable growth coupled with environmental betterment. This work, therefore, offers policy and stakeholder insights with concrete information into how to remove barriers and pick up pace toward renewable energy transitions to achieve global sustainability goals.

Employing Renewable Energy to Promote Sustainable Economic Growth: An Analysis of the Effects of Investment on Developing Countries

This study examines the influence that investments in renewable energy have on the long-term economic development of emerging nations via a comparative data analysis. In this work, a mix of quantitative econometric analysis and qualitative case studies is used to investigate the intricate processes that determine the link between the adoption of renewable energy and the outcomes of economic growth. The quantitative research reveals that positive associations are statistically significant between investments in renewable energy and several critical economic indicators. These indicators include GDP growth rates, employment levels, and average income levels per capita. Qualitative case studies, on the other hand, provide insights into the contextual elements that influence the performance of investments in renewable energy in specific developing country contexts. The findings of this study highlight the significant impact that strategic investments in renewable energy infrastructure have as a driver of sustainable economic growth. To get the greatest possible socioeconomic benefit from the implementation of renewable energy systems in various developing nation contexts, the research highlights the need to implement specific policy interventions and investment methods.

Strategic framework for integrating green bonds and other financial instruments in renewable energy financing

The transition to renewable energy is essential for addressing global climate change and advancing sustainable development. This paper examines a strategic framework for integrating green bonds with complementary financial instruments to create a robust renewable energy financing ecosystem. Green bonds, characterized by environmental compliance and transparency, are pivotal in mobilizing private capital for clean energy projects. However, complementary tools such as renewable energy funds, carbon credits, and blended finance models address critical gaps like risk-sharing, affordability, and project viability, especially in emerging markets. The paper highlights the need for a structured and collaborative approach that harmonizes these instruments, emphasizing stakeholder partnerships, regulatory alignment, transparent reporting, and risk mitigation strategies. Through such integration, stakeholders can accelerate renewable energy adoption, ensure financial sustainability, and align with global sustainability goals. Recommendations include fostering public-private partnerships, enhancing market accessibility, and incentivizing institutional investors to drive investment in renewable energy. Keywords: Renewable Energy Financing, Green Bonds, Sustainable Development, Blended Finance, Carbon Credits, Public-Private Partnerships.

Environmental Degradation in Gulf Cooperation Council: Role of ICT Development, Trade, FDI, and Energy Use

Environmental degradation is a pressing issue, particularly in resource-dependent regions like the Gulf Cooperation Council (GCC) countries. While significant research has explored the environmental impacts of economic growth and resource use globally, limited attention has been given to the unique dynamics in the GCC, including the role of ICT development, trade openness, and FDI inflows. This research examines how information and communication technology (ICT) development, economic growth, trade openness, foreign direct investment (FDI) inflows, and electricity consumption influenced environmental degradation in GCC countries from 1990 to 2022. Using panel data analysis, the study finds that ICT expansion and increased electricity consumption significantly contribute to higher CO2 emissions, exacerbating environmental degradation. Economic growth follows the Environmental Kuznets Curve (EKC) pattern, where environmental harm initially increases with growth but can decline as economies diversify and adopt cleaner technologies. Trade openness and FDI inflows, particularly in resource-intensive industries, also contribute to environmental degradation, supporting the pollution haven hypothesis. However, these factors present opportunities for sustainable development if paired with stricter environmental regulations and cleaner technology adoption. The study highlights the need for GCC policymakers to prioritize renewable energy investments, enforce stronger environmental policies, and promote energy efficiency to balance economic growth with environmental sustainability. Recommendations for future research include exploring other environmental factors and assessing the role of technological innovations in reducing emissions.

Higher Carbon Tax Rates More Effective in Reducing Emissions in G20 Countries?

This study investigates the impact of carbon tax policies on carbon emission reductions in G20 countries to support the achievement of the Net Zero Emissions target by 2060. As the G20 collectively accounts for a significant share of global greenhouse gas emissions, effective policy interventions in these nations are pivotal to addressing the climate crisis. The research employs the Pearson correlation test to quantify the statistical relationship between carbon tax rates and emission levels, alongside a content analysis of sustainability reports from G20 countries to evaluate policy implementation and outcomes. The results reveal a moderate yet statistically significant negative correlation (r = −0.30, p < 0.05), indicating that higher carbon taxes are associated with lower emission levels. Content analysis further demonstrates that countries with high and consistently enforced carbon taxes, such as Japan and South Korea, achieve more substantial emissions reductions compared to nations with lower tax rates or inconsistent policy implementation. The findings emphasize that while carbon taxes serve as an effective instrument to internalize the social costs of carbon pollution, their impact is maximized when integrated with broader strategies, including investments in renewable energy, advancements in energy efficiency, and technological innovation. This research contributes to the understanding of carbon tax effectiveness and offers policy recommendations to strengthen fiscal measures as part of comprehensive climate action strategies toward achieving global sustainability targets.

Contemporary Status and Recent Trends of Renewable Energy Certificates in Türkiye

There is a trend towards increasing the use of renewable energy resources worldwide. In addition to countries' efforts to increase this with the help of laws, the industry is also trying to expand the use of RE since the vast majority of the emissions are produced by the industry. Although Türkiye has rich renewable energy resources, these resources cannot yet be used effectively. Renewable energy certificate is one of the latest methods to reduce greenhouse gas emissions with the help of market mechanisms. Although renewable energy certificate is a very incipient concept for Türkiye, it has a significant potential to encourage and promote the usage and investments of renewable energy. In this study, current trends, and future expectations regarding renewable energy certificate in Türkiye have been compiled in line with the opinions of renewable energy certification experts from sector. It is thought that such analysis will be a guide for the sector and lawmakers on this subject. It is expected that the increase in academic discussions on market-based carbon emission reduction approaches will both contribute to the awareness of industry and the success of policies of national certification institutions. In this way, the payments made by industrialists in Türkiye to certification institutions abroad can be prevented from increasing at a level that would affect the current account deficit in the long term.