Search results

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.

As innovations introduce novel benefits to customers, they would need to be positioned in a way that sets them apart in the market. The purpose of this paper is to propose a novel approach for the positioning of innovations with the use of the customer imagination and, specifically, mental movies.

Using the schema approach as this study’s theoretical framework, the author proposes that innovations could be positioned using moving pictures (i.e. mental movies) instead of mental pictures (the approach traditionally taken).

A new conceptual framework for the positioning of innovations using mental movies is presented. In the framework, this study outlines how innovations can be positioned with the use of mental movies, and why such an approach would be beneficial. The framework outlines mixed reality, i.e. augmented reality, augmented virtuality and virtuality, as well as the metaverse and gaming as avenues for positioning innovations using mental movies. On the benefit side, the framework identifies successful market introductions, engagement and stickiness, memorability and positive emotions, uniqueness and differentiation and market share as the concrete benefits that can be achieved with this type of positioning.

The framework provides a novel approach for the positioning of innovations. It departs from existing literature by proposing that innovations can be positioned using mental movies. The framework also identifies why this approach would be beneficial for marketers and managers and provides concrete guidelines for how such a positioning can be achieved in the market.

This study explores the coping strategies employed by people of color in response to racial discrimination and examines how cultural norms inform these strategies.

In-depth qualitative interviews were conducted with 34 Black and Asian Americans about their experiences with racial discrimination.

Findings reveal that participants cope through humor, seeking social support on social media, from family and friends, and through avoidant coping strategies. Seeking social support from empathetic others, especially when they shared the same racial background as participants, contributes to feelings of comfort, sanity, and a sense of community. Group differences emerge in seeking family support with Black Americans more likely to seek parental support, likely because of racial socialization practices by their parents that prepared them for experiencing bias. Asian Americans preferred talking to siblings or cousins, citing a cultural gap between them and their parents.

The study underscores the importance of considering the quality of social support, not just its use, as a buffer against harms related to discrimination.

Racial discrimination is a routine experience for many people of color. This study demonstrates how the type of coping strategy matters for coping with the distress that often accompanies these experiences.

In contrast to monoracial-focused studies, this research demonstrates the convergence and divergence of coping strategies among different racial groups.

This study examined whether officers’ perceptions of the effect of BWCs on procedural justice, police lawfulness, police legitimacy, compliance with police and law, and cooperation with police differed by type of law enforcement agency.

The data were collected from a survey administered to 152 police officers from State Police, City Police, University Police, and Sheriff’s Office.

The multivariate analyses found that City Police officers hold significantly more positive perceptions than University Police (on police legitimacy and cooperation with police), State Police (except for police lawfulness, on all other outcomes), and Sheriffs’ Office officers (on procedural justice and police legitimacy). Additionally, Sheriffs’ Office officers hold significantly more positive perceptions than University Police (on police legitimacy, cooperation with police, and compliance with police) and State Police (on police legitimacy, cooperation with police, compliance with police and law). No significant difference was found between University Police and State Police officers.

This is the first study that examines whether officers’ perceptions of the outcomes differ by type of law enforcement agency.

A “state-driven” approach suggests that colonists use census categories to rule. However, a “society-driven” approach suggests that this state-driven perspective confers too much power upon states. A third approach views census-taking and official categorization as a product of state–society interaction that depends upon: (a) the population's lay categories, (b) information intellectuals' ability to take up and transform these lay categories, and (c) the balance of power between social and state actors. We evaluate the above positions by analyzing official records, key texts, travelogues, and statistical memoirs from three key periods in India: Indus Valley civilization through classical Gupta rule (ca. 3300 BCE–700 CE), the “medieval” period (ca. 700–1700 CE), and East India Company (EIC) rule (1757–1857 CE), using historical narrative. We show that information gathering early in the first period was society driven; however, over time, a strong interactive pattern emerged. Scribes (information intellectuals) increased their social status and power (thus, shifting the balance of power) by drawing on caste categories (lay categories) and incorporating them into official information gathering. This intensification of interactive information gathering allowed the Mughals, the EIC, and finally British direct rule officials to collect large quantities of information. Our evidence thus suggests that the intensification of state–society interactions over time laid the groundwork for the success of the direct rule British censuses. It also suggests that any transformative effect of these censuses lay in this interactive pattern, not in the strength of the British colonial state.

Algorithmic trading has evolved beyond traditional methods by incorporating machine learning techniques to analyse extensive datasets. The integration of machine learning and ATS has helped in enhancing the decision-making process, leading to more accurate predictions of market trends, risk assessments, and optimal execution strategies. The opaque nature of artificial trading models can create challenges in understanding the decision-making process of these systems. This lack of clear understanding raises questions about accountability, and market participants lack transparency on whether movements are economic-driven or algorithmic trading strategies. The chapter explores the development of I-driven trading and Key Characteristics of Algorithmic Trading Systems. In conclusion, the integration of machine learning into capital markets represents a major shift in how investment decisions are made, risks are managed, and how markets operate independent artificial intelligence trading systems. Its increasing use highlights the need for careful ethical consideration, regulatory flexibility and ongoing monitoring.

In the recent wake of environmental sustainability, more attention has been paid to the consumption of specific energy types. However, how the consumption of such energy alternatives influences multiple corporate-level decisions has not yet been well explored in the literature. The current analysis bridges this deficiency in literature by exploring the empirical relationship between energy alternatives and cash holdings.

For empirical analysis, the authors sample the non-financial sector enterprises founded in five BRICS economies and employ the system GMM and fully modified ordinary least square techniques to establish the regression. The selection of econometric techniques is subject to the existence of endogeneity and cointegration.

The estimated coefficients reveal a significant negative effect of renewable energy (REC) while a significant positive impact of non-renewable energy consumption (FFE) on cash holdings. Referring to low pollution emissions, less operational risk and a cheap source of energy, the more consumption of renewable energy reduces the motives of cash holdings. Primarily, the current analysis advocates an important policy regarding the utilization of renewable energy as industrial fuel inputs because it has a material impact on cash holdings and also ensures environmental sustainability.

This study has equal policy outputs for industry officials, policy regulators and environmental economists. Corporate managers should do more focus on transforming the energy needs from non-renewable to renewable as such transformation can benefit in terms of both, i.e. environmental sustainability and low cash holdings.

Contemporary literature mainly highlights the determinants of energy consumption. However, it is less known how the consumption of specific energy sources affects the firm's cash-holding decisions. Thus, this study enriches both energy economics and financial economics literature by offering cutting-edge evidence on the sustainable role of REC in declining cash holdings.