Faculty Publications
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Item Assessing the impact of renewable energy and non-renewable energy use on carbon emissions: evidence from select developing and developed countries(Environment, Development and Sustainability, 2025-02) Rai, Pratibha; Gupta, Priya; Saini, Neha; Tiwari, Aviral KumarRenewable Energy (RE) is essential for balancing economic and environmental conditions to attain Sustainable Development Goals (SDGs). This paper investigates the relationship between carbon emissions (CO2) and RE use, considering Non-renewable Energy (NRE) and macroeconomic variables such as Foreign Direct Investment, Gross Domestic Product, and Trade in eight major polluting nations from 1990 to 2019, constrained by data idiosyncratic features. The Error Correction Model using Autoregressive Distributed Lag methodology reveals that RE effectively lowers carbon emissions on average, but high economic growth and NRE use significantly contribute to environmental degradation. Additionally, while a reduction in CO2 emissions with RE use is evident through panel data analysis using the random-effect model. However, country-wise and panel data analyses do not substantiate the Environmental Kuznets Curve (EKC) hypothesis. The study confirms a long-run cointegrated relationship among the variables. It highlights the necessity for tailored energy innovations, as the weak validation of the overemphasized EKC hypothesis indicates that a generic solution is only sometimes applicable for mitigating emissions that facilitate the achievement of SDGs. This inquiry contributes to the extant literature by providing a nuanced understanding of the associations amongst macroeconomic variables, renewable and non-renewable energy consumption, and carbon emissions and offers critical insights for policy formulation. The requirement of indispensable energy innovations to achieve SDGs is emphasized. It is necessary to decrease the share of NRE use in total energy consumption and to increase the percentage share of RE use.Item Strategic modelling for sustainable power grids: a comprehensive study on energy storage integration in India(Journal of Modelling in Management, 2025-02-11) Gupta, Laxmi; Sarkar, Bishal Dey; Shankar,RaviPurpose This study aims to address the critical need for innovation in the power grid sector, driven by global carbon reduction commitments. It highlights the pivotal role of critical success factors (CSFs) in enhancing system adaptability and environmental mitigation within India’s power industry. Design/methodology/approach This research is grounded on transition management theory to identify and validate the CSFs necessary to integrate energy storage systems (ESS). Here, exploratory factor analysis (EFA) and total interpretive structural modeling (TISM) are integrated to evaluate the model’s effectiveness in reducing CO2 emissions while ensuring grid stability and flexibility. Findings The research develops a seven-level hierarchical model illustrating the interaction of ESS components for a stable power grid, clean energy and a profitable electric industry. It emphasizes the strategic significance of managing key factors to reduce CO2 emissions and ensure grid stability. The study recommends continuous monitoring at tactical and operational levels to enhance overall performance. Research limitations/implications The study provides policymakers with strategic insights for the successful implementation of smart grid initiatives, facilitating effective decarbonization of the electricity industry. Additionally, it offers a comprehensive framework for minimizing the environmental impact associated with electricity generation, thereby enhancing overall operational sustainability and efficiency. Originality/value The originality of this study lies in its integration of EFA and TISM for robust model assessment and the application of transition management theory to identify and validate CSFs in the integration of ESS. This approach offers a novel perspective on enhancing the sustainability and efficiency of power grids.