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This study aims to argue that responses in economic growth (EG) resulting from positive and negative shocks in energy consumption could be a non-linear phenomenon. Thus, the study aims to investigate the existence of non-linear long-run effects of positive and negative shocks in green and conventional energy consumption on EG for China and India. By decomposing energy consumption in positive and negative shocks, the study seeks to determine the distinct impact of positive and negative shocks in energy (conventional and green) consumption on EG of China and India.

A non-linear autoregressive distributed lag (NARDL) model based on energy-augmented environment Kuznets curve (EKC) framework is used on annual time series covering the period 1965–2021. The study uses a precise econometric methodology, starting with unit root tests to assess stationarity, moving to the estimation of the NARDL model, which resulted in the calculation of long-run coefficients and error correction terms to analyse the rate of adjustment towards equilibrium.

The empirical findings demonstrate that there exists a non-linear cointegrating relationship among EG, carbon emissions and green and conventional energy consumption for both economies. In the long run, a non-linear impact of green energy consumption (GEC) on EG is evident for China only, whereas non-linear impact of conventional energy consumption (CEC) on EG is visible for both countries.

While China and India prioritise energy diversification by embracing green energy to promote energy security and limit rising carbon emissions, it is interesting to investigate how positive and negative shocks in GEC and CEC have affected their EG. Second, this paper examines the trade-offs between EG and GEC/CEC in China and India, two high-carbon emitters. The disparities in trade-offs may indicate how well each country’s energy policies address increased EG with fewer energy-induced carbon emissions.

This study examines non-linear cointegration among the variables of interest, whereas most prior studies have focused on linear cointegration. The existence of non-linear cointegration may suggest that positive and negative shocks in GEC and CEC can result in non-linear reactions in EG. Thus, it establishes a basis for examining the non-linear long-term effects of GEC and CEC on EG. The research findings indicate significant consequences and necessitate prompt intervention to alleviate the detrimental impacts of shocks in GEC and CEC on EG in China and India and provide several important inputs to address the inherent challenges of energy transition goals.

The pressing issues of climate change and environmental degradation call for a reevaluation of how we approach economic activities. Both leaders and corporations are now shifting their focus, toward adopting practices and embracing the concept of circular economy (CE). Within this context, the Food and Beverage (F&B) sector, which significantly contributes to greenhouse gas (GHG) emissions, holds the potential for undergoing transformations. This study aims to explore the role that Artificial Intelligence (AI) can play in facilitating the adoption of CE principles, within the F&B sector.

This research employs the Best Worst Method, a technique in multi-criteria decision-making. It focuses on identifying and ranking the challenges in implementing AI-driven CE in the F&B sector, with expert insights enhancing the ranking’s credibility and precision.

The study reveals and prioritizes barriers to AI-supported CE in the F&B sector and offers actionable insights. It also outlines strategies to overcome these barriers, providing a targeted roadmap for businesses seeking sustainable practices.

This research is socially significant as it supports the F&B industry’s shift to sustainable practices. It identifies key barriers and solutions, contributing to global climate change mitigation and sustainable development.

The research addresses a gap in literature at the intersection of AI and CE in the F&B sector. It introduces a system to rank challenges and strategies, offering distinct insights for academia and industry stakeholders.

A secondary research method was used to collect data for this case. The authors have made use of newspaper articles and articles by experts published in the public domain.

This case discusses the dilemma faced by Amazon Prime Video in India regarding content. Amazon Prime Video attained success and rapid growth in India ever since its entry into the Indian over the top (OTT) market in 2016. However, the pursuit of attractive and bold content landed Amazon Prime Video in a legal tangle in India. Amazon Prime Video was accused of hurting the religious and political sentiments of Indians by broadcasting bold shows like Tandaav, Family Man, Mirzapur, Family Man 2, etc. Litigations against Amazon Prime Video were filed in the Indian courts by members of religious and political organizations. Protests and online campaigns on Twitter caught the attention of internet influencers in India. The key dilemma faced by the protagonist in this case is whether to continue streaming attractive content that may be controversial and may occasionally hurt the religious/political sentiments of some Indians or stream only safe content that may be deemed as boring by its young target audience.

Undergraduate and postgraduate students studying marketing management and international business courses in business management and commerce streams can use this case.

Seeks to characterise world astronomy research during the last decade by an analysis of papers in the Science Citation Index identified with a special filter and to study Indian output in order to identify the leading institutions and authors.

Lists of specialist journals and title words of papers were selected to create a filter giving high precision and recall for astronomy papers. Some biology papers were erroneously retrieved because of ambiguous title words. Potential citation impact was determined from journal citation scores, and multiple regression was used to evaluate leading countries.

Title words added almost a quarter to the list of papers in specialist journals, and the final file contained over 96,000 papers. Potential impact increased with more authors per paper and more addresses; it was greater for papers from Canada, the UK and the USA, and less for papers from China, India and Russia; for other countries the effects of the author's location on potential impact were not statistically significant. Indian astronomy output has increased in potential impact, partly through greater international co‐authorship, but also through indigenous papers.

The study was confined to one subject area, and impact was determined on the basis of journals, not of individual papers.

Use of title words in addition to journal lists is essential to sub‐field definition in order to have high precision and recall. Because of the confounding effects of authorship numbers, it is necessary to use multiple regression analysis in order to see whether research from a given country is significantly better or worse than average.

Characterises world astronomy research during the last decade by an analysis of papers in the Science Citation Index identified with a special filter.

The purpose of this paper was to identify Serratia marcescens to extract and purify prodigiosin pigment to evaluate the antibacterial potential of the pigment.

Samples were collected from shrimp aquaculture ponds. Species identification was conducted using morphological, biochemical and molecular tests. Pigment extraction and purification were carried out using column chromatography. The antibacterial effect of crude and purified prodigiosin pigment was evaluated on Escherichia coli, Bacillus subtilis, Pseudomonas aeruginosa and Staphylococcus aureus as biofouling bacteria. In addition, the interaction between prodigiosin and proteins involved in biofilm formation was evaluated using molecular docking.

The results of prodigiosin extraction with solvents showed the highest percentage of pigment presence with methanol solvent in the second day of culture. The chemical structure of pure prodigiosin obtained from the column chromatography was confirmed by Fourier-transform infrared spectroscopy. Both crude and purified pigments exhibited antibacterial effects against selected bacterial strains. The antibacterial effect of the purified pigment was higher, and the highest antibacterial effect was observed on B. subtilis. Prodigiosin docking was carried out with all target proteins, and the docked energy in all of them was at an acceptable level.

Prodigiosin extracted from S. marcescens can be used as a bioactive compound to design and manufacture of anti-biofouling and anti-biofilm formation products to use extensively for industrial applications as a natural color in marine industries, food industry, cosmetics and textile productions.

This paper aims to analyze the cost, revenue and profit efficiency performance of Indian scheduled commercial banks. The study also determines differences if any related to efficiency among banks on the basis of ownership pattern.

Cost, revenue and profit efficiency of banks is calculated by using the non-parametric approach, namely, data envelopment analysis. Further, the differences in the efficiency scores are examined by applying analysis of variance.

Indian scheduled commercial banks have not been able to maintain their input-output synchronization in terms of cost, revenue and profits in the year 2012-2013. Foreign sector banks have higher cost and profit efficiency as compared to their counterparts in private and public sector, whereas public sector banks are found to have been more revenue efficient.

With specific reference to India, less empirical work has been carried out with respect to cost, revenue and profit efficiency. None of the studies have evaluated the sector-wise performance of banks in terms of all three efficiency parameters.