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This chapter empirically investigates the dynamic effects of globalisation on carbon emission in developing countries across the globe, experiencing a high-speed engine of globalisation over the last two decades. The allied existing literature discussed this issue mainly from the angles of economic expansions and integration of the global economy. However, some relevant factors like trade, financial, interpersonal and informational issues and cultural and politics should be highlighted in order to explore their possible influences on the high rate of carbon emission in the developing world under the modern epoch of globalisation. In this regard, this chapter utilises the World Bank World Development Indicators (WDI) (2020) and KOF Globalisation Index (2020) databases on selected 75 developing nations over the period of 2001–2018 to employ the dynamic panel econometric methods. The robust difference in generalised method of moments (GMM) estimates implies that trade is more harmful to high levels of carbon emissions in developing economies than all other components of globalisation.

Of all the natural disasters, drought is the most gradual and the most hard to predict. However, this insidious disaster continually affects the lives and livelihoods of farmers living in drought-affected areas. The northwestern part of Bangladesh is recognized as being more severely affected by drought than the rest of the country, as drought is a recurring event in this area. It has substantial impacts on agriculture and causes great suffering for farmers – in particular, poor and small farmers, who are more vulnerable to drought. Therefore, this study tries to illustrate farmers’ existing coping practices with regard to drought. It also addresses their prioritized adaptation practices, which are based on local context and available resources. This study not only focuses on the implementation of these adaptation practices from the national to the local level, but it also mentions various roles of stakeholders and a definite timeframe for each adaptation practice.

The purpose of this paper is to examine the impact of trade openness on the cost of financial intermediation and bank performance. Developed and developing countries are currently pursuing trade openness to achieve higher bank performance with less intermediation costs.

In attaining the study's objectives, several regression methodologies were employed (i.e. system generalized method of moments (GMM), fixed effect, pooled ordinary least squares (OLS) and vector error correction model (VECM)). The authors tested the hypothesis on data of 885 banks from BRICS countries, which span 18 years (2000–2017).

The results from this robust study showed that embedding higher trade openness reduces financial intermediation costs and improves banks' performance. The results remain robust following the use of different estimation methods and alternative variables as proxies. In addition, results were still valid upon considering bank level, industry level and country level as control variables. It was also observed that the relation pattern holds its rigidity during “good” and “bad” times (i.e. the global financial crisis).

The results provide better references for bank regulators, academics and policymakers to take advantage of the low financial intermediation costs resulting from trade openness.

All over the world, Bangladesh is well known as a flood- and cyclone-affected country. But in the recent years the slow onset disaster of drought is more frequent in Bangladesh due to climatic as well as nonclimatic variability. As a consequence, agriculture along with its dependent farmers’ livelihoods tremendously experience its adverse impacts. Therefore, the main focus of this chapter is to discuss about drought, its effects on different sectors, and how in different levels a number of drought risk management actions are carried out to cope with this insidious disaster in the context of Bangladesh.

This review aims to summarize the extent to which sustainability dimensions are covered in the selected qualitative literature, the theoretical and ontological underpinnings that have informed sustainability research and the qualitative methodologies used in that literature.

This study uses a systematic review to examine prior empirical studies in sustainability reporting between 2000 and 2021.

This review contributes to sustainability research by identifying unexplored and underexplored areas for future studies, such as Indigenous people’s rights, employee health and safety practice, product responsibility, gender and leadership diversity. Institutional and stakeholder theories are widely used in the selected literature, whereas moral legitimacy remains underexplored. The authors suggest that ethnographic and historical research will increase the richness of academic research findings on sustainability reporting.

This review is limited to qualitative studies only because its richness allows researchers to apply various methodological and theoretical approaches to understand engagement in sustainability reporting practice.

This review follows a novel approach of bringing the selected studies’ scopes, theories and methodologies together. This approach permits researchers to formulate a research question coherently using a logical framework for a research problem.

The purpose of this review is to narrate the microbiological quality of variety of street foods which are largely consumed by the Bangladeshi people of all ages. However, these foods are prone to microbial contamination. Most of the vendors lack the awareness on hygiene during preparing, processing or handling the foods. The insufficiency in regular microbiological analysis further casts the possibility of disease onset. The need of microbial analyses of these foods also remains unclear to the consumers, which, in turn, results in microbial infections and intoxications remaining unnoticed.

The present review focused on the microbiological quality of the street foods projected from the locally conducted researches on street foods, and pondered on the possible management from a microbiological perspective for ensuring consumer safety.

This paper provides comprehensive information on the microbiological quality of street foods, requirement of maintenance of hygiene by the vendors and consumers and the necessity of adopting proper management during food preparation.

Demonstration of microbial prevalence in the street foods may bring imperative information on food safety and security. The conclusive message of this review is about the general consciousness on the microbiological aspects of street food contamination.

The purpose of this study is to investigate the synergy between sectoral output, energy use and CO₂ emission with other factors for a panel of South Asian economies including Afghanistan, Bangladesh, Bhutan, India, Pakistan, Maldives, Nepal and Sri Lanka.

The analysis is done using annual panel data from 1980–2019 using dynamic ordinary least squares (DOLS), fully modified OLS (FMOLS) and Toda-Yamamoto techniques.

Empirical findings reveal the existence of a statistically significant long-run cointegrating relationship between energy use, sectoral output such as agricultural, industry and service gross domestic product (GDP), globalization, urbanization and CO₂ emission. DOLS and FMOLS result posits that in the case of the South Asian region agriculture GDP does not contribute to increasing CO₂ emission while service and industrial GDP is responsible for increasing CO₂ emission along with urban population, energy use and to some extent globalization. More remarkably, the contribution of the service GDP is greater than the other two sectoral outputs in increasing CO₂ emission with a feedback hypothesis.

As CO₂ emission is a global phenomenon with a cross-boundary effect, these empirical findings might contribute to formulating implementable energy and environmental policies to sustain growth, as well as to protect the environment in the regional context.

The study contributes to the literature by providing an empirical investigation of South Asia incorporating the contribution of sectoral output to understand the potential contribution of each sector on energy and emission. This is the first study on the South Asian context from the perspective of sectoral output, energy and emission.

The purpose of this study is to investigate the correlation between the price return of leading cryptocurrencies, including Bitcoin, Ethereum, Ripple, Litecoin, Monero, Stellar, Peercoin and Dash, and stock return of technology companies' indices that mainly operate on the blockchain platform and provide financial services, including alternative finance, democratized banking, future payments and digital communities.

This study employs a Bayesian asymmetric dynamic conditional correlation multivariate Generalized Autoregressive Conditional Heteroskedasticity (GARCH) (BADCC-MGARCH) model with skewness and heavy tails on daily sample ranging from August 11, 2015, to February 10, 2020, to investigate the dynamic correlation between price return of several cryptocurrencies and stock return of the technology companies' indices that mainly operate on the blockchain platform. Data are collected from multiple sources. For parameter estimation and model comparison, the Markov chain Monte Carlo (MCMC) algorithm is employed. Besides, based on the expected Akaike information criterion (EAIC), Bayesian information criterion (BIC), deviance information criterion (DIC) and weighted Deviance Information Criterion (wDIC), the skewed-multivariate Generalized Error Distribution (mvGED) is selected as an optimal distribution for errors. Finally, some other tests are carried out to check the robustness of the results.

The study results indicate that blockchain-based technology companies' indices' return and price return of cryptocurrencies are positively correlated for most of the sampling period. Besides, the return price of newly invented and more advanced cryptocurrencies with unique characteristics, including Monero, Ripple, Dash, Stellar and Peercoin, positively correlates with the return of stock indices of blockchain-based technology companies for more than 93% of sampling days. The results are also robust to various sensitivity analyses.

The positive correlation between the price return of cryptocurrencies and the return of stock indices of blockchain-based technology companies can be due to the investors' sentiments toward blockchain technology as both cryptocurrencies and these companies are based on blockchain technology. It could also be due to the applicability of cryptocurrencies for these companies, as the price return of more advanced and capable cryptocurrencies with unique features has a positive correlation with the return of stock indices of blockchain-based technology companies for more days compared to the other cryptocurrencies, like Bitcoin, Litecoin and Ethereum, that may be regarded more as speculative assets.

The study results may show the positive role of cryptocurrencies in improving and developing technology companies that mainly operate on the blockchain platform and provide financial services and vice versa, suggesting that managers and regulators should pay more attention to the usefulness of cryptocurrencies and blockchains. This study also has important risk management and diversification implications for investors and companies investing in cryptocurrencies and these companies' stock. Besides, blockchain-based technology companies can add cryptocurrencies to their portfolio as hedgers or diversifiers based on their strategy.

This is the first study analyzing the connection between leading cryptocurrencies and technology companies that mainly operate on the blockchain platform and provide financial services by employing the Bayesian ssymmetric DCC-MGARCH model. The results also have important implications for investors, companies, regulators and researchers for future studies.

This paper aims to examine the relationship between trade and economic growth using data of UAE economy for the period of 1974-2011.

The bounds testing is applied for testing the cointegration relationship between the variables. The rolling window approach has been used to analyze the stability of long run coefficients.

The empirical analysis shows the presence of cointegration between trade and economic growth. Furthermore, exports have positive, but imports have negative effect on economic growth. The rolling window approach confirms the stability of long-run estimates.

This paper provides new insights for policymakers to use trade as economic tool for sustainable economic development.

This paper makes a unique contribution to the literature with reference to UAE, being a pioneering attempt to investigate the relationship between trade and economic growth by using long time series data and applying more rigorous techniques like time varying rolling window analysis.

The dynamic global environment has increased the requirement of multidisciplinary entrepreneurial engineers. While studying entrepreneurial aspects of engineers, researchers have not considered inherent variability due to engineering majors. This study investigates the impact of entrepreneurial motivation (EM) on entrepreneurial intentions (EIs), to analyse the inherent entrepreneurial potential of engineering majors. The impact of entrepreneurial education has also been studied to proffer recommendations for policymakers.

The design of this study is a survey conducted with 342 undergraduate students from three major engineering institutions in Pakistan using a close-structured questionnaire. Moderation analysis examines the entrepreneurial potential of different engineering majors. Analysis of variance (ANOVA) has been conducted to compare the EIs of different engineering majors and regarding the impact of entrepreneurial education on EIs.

The engineering major's role in the transformation of EM to EIs is multifaceted. EIs of students of a few engineering majors were found high. Entrepreneurship education improves the overall EIs of engineering students.

Outcomes of the study are useful for academia and policymakers to engage students of particular engineering majors, identified as entrepreneurial, in advanced entrepreneurial education and expose them to potential start-ups to have better value addition in specific sectors.

This is the first study in which engineering majors have been examined to bring insights about inherent entrepreneurial potential. This inherent entrepreneurial potential needs further exploration by academic researchers. The study has provided the base for future studies to institutionalize entrepreneurial education for different engineering majors.