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This study aims to assess the impact of sustainability consciousness, altruism and peer influence on sustainable consumption behaviour of young adults.

Structured questionnaires were administered to 452 undergraduate students attending public universities in the southern part of Ghana. Partial least square structural equation modelling was used to test and analyse the hypothesized relationships.

Findings from this study indicate that sustainability consciousness and altruism significantly influence sustainable consumption. The respondents also suggest that their association with peers does not significantly affect sustainable consumption. Finally, the outcome of the analysis revealed that altruism partially mediates the nexus between sustainability consciousness and sustainable consumption.

The research directs attention to how the behaviour of undergraduate students who are sympathetic to the environment may influence their consumption behaviours. This study also demonstrates that sustainability awareness and knowledge by individuals play a vital role in shaping consumption behaviour, which may ultimately preserve resources for future generations.

This paper examines the relationship between the degree of information asymmetry among investors and the occurrence of bubbles in cryptocurrency markets.

The study applies the Philipps, Shi and Yu (PSY) methodology to identify bubbles in 74 cryptocurrencies from July 2014 to April 2021.

The findings indicate that there is a negative relationship between the degree of information asymmetry among investors and the number and duration of bubbles across cryptocurrencies.

This finding supports the riding-bubble argument of Asako et al. (2020), which suggests that when the information asymmetry among investors is high, rational investors are less certain about what irrational, inexperienced investors might decide. This strategic uncertainty leads rational investors to close out their positions more quickly, resulting in a shorter duration of the bubble and a reduced propensity for new bubbles to emerge. The study’s findings hold regardless of the proxies used to measure information asymmetry and noise trading, cryptocurrency characteristics and regression model specifications.

The present study aims to compare the effect of international paid remittances on financial development in three Gulf Cooperation Council (GCC) countries from 1985 to 2020.

The study applied the bound cointegration technique and the autoregressive distributed lag (ARDL) method for long- and short-run estimations as well as diagnostic tests to increase robustness.

The ARDL long-run results showed that international paid remittances had a significant negative effect on financial development in Oman and Saudi Arabia but an insignificant negative effect in Bahrain. The error correction model for the short run of the ARDL slowdown model showed that international paid remittances had a significant positive effect on financial development in Oman, Bahrain, and Saudi Arabia.

Few studies have examined remittance outflows from GCC countries, which are enriched by oil wealth and located in one of the most stable geographical areas in the world. The findings from this study can help policymakers understand how to enable remittances and investments in order to establish regulations that will preserve remittance inflows and meet target services.

This chapter estimates the efficiency of the IPI using non-parametric method of data envelopment analysis (DEA) approach. For doing that it measures output-oriented technical efficiency (TE) of IPI considering each firm as a decision-making unit. Also, the factors behind the variation in TE are identified using panel regression. It also estimates total factor productivity growth (TFPG) of the IPI. For doing that it measures TFPG considering each firm as a decision-making unit using non-parametric method of DEA approach. Also, the major factors responsible for variation in TFPG of IPI are found using panel regression. This chapter then compares the efficiency and productivity of IPI. For performing that it compares TE and TFPG of IPI. This chapter also tries to identify the common factors responsible for changes in these two performance indicators, i.e. TE and TFPG. Another important contribution of this chapter is that it verifies the presence of structural breaks (which may appear due to changes in economic regime over time) in the TFPG series at the firm level by using panel structural break methodology.

Following Joseph Schumpeter's conception of innovation as ‘new innovations’, this chapter contends that innovations that transform lives in developing countries of Southern Africa are not radically new and different novelties but rather ‘new combinations’ at the interface of new materialisations (creative expression) and exploitations of new opportunities (entrepreneurship). We argue that this posture is not a contestation of the reality that novelty enter the system through the development of new technologies, processes and new ways of organising, but rather such novelty is a process of recombining existing elements in new ways. I build on this argument to demonstrate that in resource-poor contexts where institutional voids frustrate entrepreneurs' potential to deploy innovation capabilities for generating groundbreaking innovation, innovations and entrepreneurship are outcomes of ‘tinkering’, improvision and refinement of unsophisticated creative ideas. Drawing on exemplars from health, education, finance and poverty alleviation interventions that support sustainable human development, I also demonstrate that high knowledge-intensive entrepreneurship (KIE) and low knowledge-intensive frugal innovations are mutually constitutive and recursive outputs of the interaction of knowledge application and innovation conversion rather than serial processes of cause and effect. Using combinative innovation, internal coupling and combinative capabilities as heuristics for understanding the entrepreneurship–innovation nexus, I provide empirical support to the view that entrepreneurial effectuation, new combinations, bricolage and improvision constitute useful cognitive arena for the conversion of entrepreneurial and innovation behaviours, practices and processes into KIE and frugal innovation outputs.

This paper aims to examine income convergence among the Euro members from 1995 to 2021.

This study uses Phillips and Sul’s test (2007, 2009) extended by Lyncker and Thoennessen’s (2017) algorithm jointly with β and σ  – convergence analysis and a traditional growth equation.

This analysis identifies three clubs of countries in terms of gross domestic product (GDP) per capita with notable disparities between and within them, which implies that the theory of optimal currency areas has not been fulfilled.

These results rule out the core/periphery divide as presented in the literature to date. Finally, by estimating an endogenous economic growth model, this study finds the primary factors underpinning the differences between the three stationary states: labor productivity, physical and human capital, investment and international trade.

This study analyzes whether industry relatedness between a corporate borrower and its group peers significantly affects that firm's borrowing cost.

A regression analysis is run on bank-loan data of a sample of Indonesian companies for 2010–2020. The main variables of interest are the natural logarithms of the borrowing firm's number of affiliates classified within either similar 2- or 4-digit GICS industries, and the Caves weighted index of these firms' related diversification. This index measures how firms in a group are diversified in relation to the borrower. The dependent variable is the all-in credit spread, stated in basis points, over the LIBOR or similar benchmark, as of the loan issuance date.

Findings support the industry-relatedness hypothesis and contradict the risk-reduction hypothesis and show that banks charge lower loan spreads on a borrowing firm that either operates within a similar industry as its affiliate or diversifies into related sectors or industries. Consistent with the co-insurance-effect hypothesis, the results also underline the importance of the parent and first-layer firms as supporting instead of the tunneling vehicles within business groups. These conclusions hold even after segregating the sample and using the loan maturity as the dependent variable.

This study uses a unique diversification measurement based on the borrowing firm's sector or industry, relative to other group members, and offers new insights on business group diversification and bank loan costs.

India’s historical fiscal performance has featured elevated deficit levels. Driven by the imperative need for fiscal stimulus measures in response to the crisis, efforts toward fiscal consolidation from 2003 to 2008 were reversed in 2008–2009 due to the financial crisis. These stimulus actions are believed to have wielded a notable influence on inflation dynamics. Presumably, a high inflation rate hinders growth and inflicts severe welfare costs. Accordingly, the principal objective of this paper is to scrutinise the threshold effects of fiscal deficit on inflation within the context of the Indian economy.

We employed the Smooth Transition Autoregressive (STAR) Model, a robust tool for capturing non-linear relationships, to discern the specific threshold level of fiscal deficit. Our analysis encompasses annual data spanning from 1971 to 2020. Additionally, we have leveraged the Toda-Yamamoto causality test to establish the existence and direction of a causal connection between fiscal deficit and inflation in the Indian economy.

Our analysis pinpointed a critical threshold level of 3.40% for fiscal deficit, a value beyond which inflation dynamics in India undergo a marked transition, signifying the presence of significant non-linear effects. Moreover, the results derived from the Toda-Yamamoto causality test offer substantiating evidence of a causal relationship originating from the fiscal deficit and leading to inflation within the Indian economic framework.

The findings of our study carry significant implications, particularly for the formulation and execution of both fiscal and monetary policies. Understanding the threshold effects of fiscal deficit on inflation in India provides policymakers with valuable insights into achieving a harmonious balance between these two critical economic variables.

To the best of our knowledge, this study is the first of its kind to empirically investigate threshold effects of fiscal deficit on inflation in India from a non-linear perspective using the Smooth Transition Autoregression (STAR) model.