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The increasing accumulation of synthetic plastic waste in oceans and landfills, along with the depletion of non-renewable fossil-based resources, has sparked environmental concerns and prompted the search for environmentally friendly alternatives. Biodegradable plastics derived from lignocellulosic materials are emerging as substitutes for synthetic plastics, offering significant potential to reduce landfill stress and minimise environmental impacts. This study highlights a sustainable and cost-effective solution by utilising agricultural residues and invasive plant materials as carbon substrates for the production of biopolymers, particularly polyhydroxybutyrate (PHB), through microbiological processes. Locally sourced residual materials were preferred to reduce transportation costs and ensure accessibility. The selection of suitable residue streams was based on various criteria, including strength properties, cellulose content, low ash and lignin content, affordability, non-toxicity, biocompatibility, shelf-life, mechanical and physical properties, short maturation period, antibacterial properties and compatibility with global food security. Life cycle assessments confirm that PHB dramatically lowers CO₂ emissions compared to traditional plastics, while the growing use of lignocellulosic biomass in biopolymeric applications offers renewable and readily available resources. Governments worldwide are increasingly inclined to develop comprehensive bioeconomy policies and specialised bioplastics initiatives, driven by customer acceptability and the rising demand for environmentally friendly solutions. The implications of climate change, price volatility in fossil materials, and the imperative to reduce dependence on fossil resources further contribute to the desirability of biopolymers. The study involves fermentation, turbidity measurements, extraction and purification of PHB, and the manufacturing and testing of composite biopolymers using various physical, mechanical and chemical tests.

Nanotechnology is nowadays very much successful in producing specifically functionalized nano-sized particles. In this work, copper nanoparticles were prepared by reduction method which is greener and environmentally suitable, cheap and best as compared to other conventional methods, particularly in the context of COVID in globalized world. The formation and size of copper nanoparticles was evidenced by the X-ray diffraction and transmission electron microscopy. The very high surface area of 35–50 m²/gm and very small crystallite sizes of 5–15 nm of these metal nanoparticles is mainly responsible for their effective involvement in removal of carbon dioxide gas as one of major hazardous pollutants from the environment. This chapter, as its main objective, mainly focuses on utility of nano technology and its beneficiary in creating a sustainable environment in economic world. Apart from laboratory experimental procedure and characterizations for preparation of copper nanoparticles, appropriate research methods such as simple statistical, econometric tools and mathematical tools have been used for economic analysis. However, as major findings of the results, developed countries have been successful in maintaining a sustainable human development, in spite of having higher per capita income (PCI) growth as compared to the role of developing countries with lower PCI in this global world.

Purpose – Description of the effects of the revolution in neuroscience and other areas of biology that can help to explain the roots of some portion of violent crime. The chapter reconsiders the role of brain chemistry in social behavior and violent behavior. To illustrate the interdisciplinary complexities entailed when linking brain chemistry to policy decisions concerning violent crime, this analysis has four main stages: first, why might SiFs (H2SiF6 and Na2SiF6, jointly called “silicofluorides” or SiFs) be dangerous? Second, what biochemical effects of SiF could have toxic consequences for humans? Third, on this basis a research hypothesis predicts children in communities using SiF should have increased uptake of lead from environmental sources and higher rates of behavioral dysfunctions known to be caused by lead neurotoxicity.

Design/methodology/approach – To illustrate the implications of the new issues involved, this chapter focuses on a public policy that inadvertently seems to increase rates of violent crime. Since violent behavior is one of the effects of lead neurotoxicity, the hypothesis is tested using multiple sources of data including rates of violent crime studied using a variety of multivariate statistical techniques (including analysis of variance, multiple regression, and stepwise regression).

Findings – Various data sources point to greater violence among individuals with greater exposure to SiFs.

Originality/value – Testing hypotheses linking neurotoxins to violent behavior reveals the generally unsuspected value of analyzing human social behavior and public policy from the perspective of evolutionary psychology.

Recent research advances in artificial intelligence, machine learning, and neural networks are becoming essential tools for building a wide range of intelligent applications. Moreover, machine learning helps to automate analytical model building. Machine learning based frameworks and approaches allow making well-informed and intelligent choices for improving daily eating habits and extension of healthy lifestyle. This book chapter presents a new machine learning approach for meal classification and assessment of nutrients values based on weather conditions along with new and innovative ideas for further study and research on health care-related applications.

This teaching case describes a born-global Indian enterprise in R&D that developed and leveraged knowledge-intensive business services in speciality chemicals, custom synthesis of genes and contract research co-evolving dynamic capabilities in partnership with multinationals from Europe and North America. The purpose of this case to explore how emerging market multinationals can leverage factor market strengths for niche positioning in industries generally populated by large players, in this case, the big Pharma companies.

The case describes how the international strategy of the company was rooted in the “Make in India” national policy. The risks and opportunities involved a “springboard” approach of gaining customer confidence in North America, Europe and Japan in incremental steps. Challenges concerned fostering a credible talent management eco-system where scientific spirit and business pathways were pursued around unknown and unfamiliar projects challenging resource-based views of the firm.

An interesting facet of this case is how the nexus of treaties with stakeholding constituents were configured and sustained for strategic management of intellectual capital and organizational knowledge.

The novelty of the case is in demonstrating how small EMNCs can leverage factor market advantages to become world leaders in niche segments. Another interesting feature is how such firms are organized around sustainability of shareholder value without profitability in their initial years.

A literature review or review article is an integral part of a scientific body of research which synthesizes prior knowledge and provides a holistic overview of a subject domain. While several studies emphasize the significance of literature reviews and include the guidelines for conducting a review, limited studies demonstrated different types of literature review methodologies in a comprehensive way. Accordingly, this chapter presents various types of review methodologies which includes narrative, descriptive, systematic, meta-analysis, hybrid, umbrella, scoping, theoretical, and critical reviews. In addition, the authors' skills including logical reasoning, content analysis, literature mapping, critical writing, and ethical consideration are presented. Further, quality aspects of the literature review are discussed such as the rigor and relevance of the selected studies. Overall, this chapter provides implications for researchers in understanding types of literature review methodologies along with their objectives, strengths, and weaknesses which can assist them in selecting a suitable methodology while conducting a review.

In 2017, global plastic production reached 348 million tonnes. Despite growing concerns about the environmental challenges associated with both plastic production and plastic waste, recent estimates suggest that plastic production and subsequent waste is expected to double by the year 2035 (European Commission, 2018). To help reduce the amount of plastic waste that litters the oceans and damages the environment, the European Union has recently commissioned a study about the feasibility of levying a tax on plastic products (New Economic Foundation for the Rethink Plastic Alliance, 2018). However, very few academic articles currently exist that critically examine the arguments for or against a plastic tax and thereby enlighten government and regulators on the subject. This chapter investigates whether plastic taxes can be used as an economic disincentive for plastic products and explores its advantages and disadvantages within a circular economy. It explores whether a plastic tax is the right economic instrument to limit the use of plastics, generate design and technical innovations for bio-based materials and degradable/recyclable plastics, create other economic incentives to optimize the value of plastic and its waste collection, and increase public awareness and responsibility. We find that a plastic tax may be a suitable solution as it is likely to influence the design, production, consumption, and waste sectors if designed properly. Yet, the tax should be carefully implemented and combined with other instruments to obtain the desired outcomes and reduce the occurrence of unfavorable side effects.

The study estimates total factor productivity growth (TFPG) and its components of the 4-digit manufacturing industries of chemical and chemical products in India from 1998–1999 to 2017–2018, pre-economic crises period (from 1998–1999 to 2007–2008) and post-economic crises period (from 2008–2009 to 2017–2018) using frontier approaches, that is, data envelope analysis DEA and stochastic frontier approach (SFA). The components of TFPG are technological progress (TP), technical efficiency change (TEC) and economic scale change (SC). It is found that the growth rates of total factor productivity (TFP) in most of the 4-digit industries of chemical and chemical products in India increased during the post-economic crises period (from 2008–2009 to 2017–2018) and the increase in TFPG of them during that period is mainly accounted for by the increase in TP of the same during that period. The TEC of almost all the industries remains the same, however, declined during the post-economic crises (from 2008–2009 to 2017–2018) and SC of them remains very low or even negative during the aforementioned study periods.