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The purpose of this study is to explore the correlation between foreign direct investment (FDI) and carbon dioxide (CO₂) emissions in emerging economies, with a particular emphasis on Brazil, Russia, India, China and South Africa (BRICS) countries along with 10 the Organization for Economic Cooperation and Development nations.

This study uses quantitative research methods and econometric analysis to investigate the relationship between FDI inflows and CO₂ emissions in selected countries. Specifically, the research concentrates on assessing the impact of FDI on CO₂ emissions within the BRICS countries. By examining data spanning from 2000 to 2003, the study aims to shed light on the interaction between economic integration and environmental sustainability dynamics on a global scale.

The results of this study highlight notable contributors to CO₂ emissions within the BRICS countries, identifying Switzerland, Denmark and the UK as significant sources. These findings support the notion of a pollution haven, underscoring the influence of FDI in moulding environmental outcomes in developing economies.

Drawing from the study’s outcomes, suggestions are put forth to foster sustainable development strategies. It is recommended that BRICS nations prioritize the attraction of environmentally aware FDI to bolster efforts aimed at mitigating environmental harm.

This study adds to the ongoing discussion surrounding sustainable development by offering a concentrated analysis of how FDI influences CO₂ emissions within BRICS countries. Its novelty lies in questioning traditional assumptions about environmental accountability and emphasizing the necessity for cooperative endeavours between emerging and developed economies to effectively tackle global environmental issues.

This paper aims to show a long run and causal association between economic growth and transport infrastructure.

In this study, the authors use ARDL models through the period 1990 – 2020 to investigate the relationship between transport infrastructure and economic growth in India.

The infrastructure has a positive impact on economic growth in India for the long run. Moreover, Granger causality test demonstrates a unidirectional relationship between transport infrastructure to economic development. Stimulatingly, the paper highlights the effect of air infrastructure statistically insignificant on economic growth in the long and short-run period.

The original outcome from the study delivers an inclusive depiction of determinants of economic growth from transport infrastructure in India, and these findings will help the policymakers to frame policies to improve the transport infrastructure. Hence, it is proposed that the government of Indian should focus more to upsurge the transport infrastructure for higher economic development.

Can digital financial inclusion (DFI) as an emerging and innovative financial service encourage economic development?

Based on a Bayesian macroeconomic investigation framework, this research study presents the level of internet growth as a threshold variable and examines the influence of DFI on economic development based on state panel data from 2008 to 2021 in India.

The outcome of DFI on economic development through various mediation models. The results illustrate that DFI growth substantially contributes to economic development.

Encouraging small and medium-sized enterprise entrepreneurship and motivating populations’ utilization are two significant networks through which DFI progress affects economic growth.

This research study aims to delve into the enduring relationship between housing property prices and economic policy uncertainty across eight major Indian cities.

Using the panel non-linear autoregressive distributed lag model, this study meticulously investigates the asymmetric impact of economic policy uncertainty on apartment and house (unit) prices in India during the period from 2000 to 2022.

The findings of this study indicate that economic policy uncertainty exerts a negative influence on property prices, but noteworthy asymmetry is observed, with positive changes in effect having a more pronounced impact than negative changes. This asymmetrical effect is particularly prominent in the case of unit prices.

This research reveals that long-run price trends are also influenced by factors such as interest rates, building costs and housing loans. Through a comprehensive analysis of these factors and their interplay with property prices, this research paper contributes valuable insights to the understanding of the real estate market dynamics in Indian cities.

The stock market has shown fluctuating degrees of volatility because of the recent COVID-19 pandemic in India. The present research aims to investigate the effect of the COVID-19 on the stock market volatility, and whether the economic package can control the market volatility or not, measured by a set of certain sector-level economic features and factors such as resilience variables.

We examine the correlation matrix, basic volatility model and robustness tests to determine the sector-level economic features and macroeconomic factors helpful in diminishing the volatility rising because of the COVID-19.

The outcomes of this study are significant as policymakers and financial analysts can apply these economic factors to set policy replies to handle the unexpected fluctuation in the stock market in sequence to circumvent any thinkable future financial crisis.

The originality of the paper is to measure the variables affecting the stock market volatility due to COVID-19, and understand the impact of capital market macroeconomic variables and dummy variables to theoretically explain the COVID-19 impact on stock market volatility.

The research investigates how green bonds and Fintech contribute to advancing sustainable energy adoption in India while addressing the intricate investment risks associated with green initiatives.

This study employs a stringent approach, conducting an extensive examination of data to analyze the interplay among green bonds, Fintech, and the renewable energy industry in India.

The study unveils Fintech’s capacity to optimize financing for renewable projects in India by leveraging blockchain technology and digital platforms, enhancing accessibility and investor confidence. Additionally, it underscores the role of green bonds in fostering the development of eco-friendly energy sources.

This research offers novel insights into the dynamic relationship among green bonds, Fintech, and India’s renewable energy sector. It emphasizes the importance of adaptable regulatory frameworks in facilitating sustainability efforts and provides valuable guidance for stakeholders navigating environmental initiatives.

The present study aims to investigate the effects of sector 4.0 technologies, particularly Financial Technology (Fintech), on Sustainable Business Success (SBS) within the Indian garment sector. It aims to analyse the impact of Fintech Integration (IF) and Extent of Financial Knowledge (EFK) on sustainability performance, with a focus on understanding the mediating effect of Financial Accessibility (FA) in this relationship.

The study utilizes covariance-based structural equation modelling (CB-SEM) to analyse data collected from 683 enterprises in the Indian garment sector. The theoretical frameworks of Ecological Modernization Theory (EMT) and the Resource-Based View are employed to guide the research.

The investigation reveals that Fintech Integration (IF) and environmental friendliness knowledge significantly impact the promotion and maintenance of sustainability within the Indian garment sector. Moreover, the study highlights the moderating influence of financial Accessibility (FA) on the associations among fintech integration, Extent of Financial Knowledge, and sustainability attainment. Furthermore, sensitivity studies demonstrate that improved financial access positively affects a firm’s sustainability performance.

This study contributes to the existing literature by addressing significant knowledge gaps and offering practical insights for managers and policymakers in the Ready-Made Garments (RMG) industry. It provides a comprehensive approach that integrates fintech and financial expertise to enhance credit accessibility and foster long-term viability for enterprises within the Indian garment sector. The originality lies in its holistic perspective, combining technological integration with the Extent of Financial Knowledge to drive sustainability in a specific industrial context, thus providing valuable guidance for industry stakeholders.

Due to unceasing declination in environment, sustainable agro-food supply chains have become a topic of concern to business, government organizations and customers. The purpose of this study is to examine a problem associated with sustainable network design in context of Indian agro-food grain supply chain.

A mixed integer nonlinear programming (MINLP) model is suggested to apprehend the major complications related with two-echelon food grain supply chain along with sustainability aspects (carbon emissions). Genetic algorithm (GA) and quantum-based genetic algorithm (Q-GA), two meta-heuristic algorithms and LINGO 18 (traditional approach) are employed to establish the vehicle allocation and selection of orders set.

The model minimizes the total transportation cost and carbon emission tax in gathering food grains from farmers to the hubs and later to the selected demand points (warehouses). The simulated data are adopted to test and validate the suggested model. The computational experiments concede that the performance of LINGO is superior than meta-heuristic algorithms (GA and Q-GA) in terms of solution obtained, but there is trade-off with respect to computational time.

In literature, inadequate study has been perceived on defining environmental sustainable issues connected with agro-food supply chain from farmer to final distribution centers. A MINLP model has been formulated as practical scenario for central part of India that captures all the major complexities to make the system more efficient. This study is regulated to agro-food Indian industries.

The suggested network design problem is an innovative approach to design distribution systems from farmers to the hubs and later to the selected warehouses. This study considerably assists the organizations to design their distribution network more efficiently.