Search results

This paper is concerned to show how the Danish political elite interpreted and responded to the consequences of the 2008 financial crisis for the Danish economy. In particular, the paper describes how this interpretive construction focused primarily on three features of the Danish context to the exclusion of other perspectives; the first was an emphasis on the problems of the financial sector, of interest rates and state finances; the second was that Danish productivity increases were falling behind other comparable countries and part of the solution required new strategies towards labour and unemployment benefits; thirdly, the adverse effects of the crisis were causing an increase in government expenditure and a decline in government revenues which was rapidly becoming unsustainable. As a consequence, the Danish elite fell into the broader interpretation of the crisis embedded in the dominant view within the EU institutions as well as among the international financial institutions such as the IMF and the World Bank, that a period of austerity and fiscal consolidation was the required remedy, even though this was likely to be pro-cyclical in its effects. However, the paper shows that alternative data which is more reflective of Denmark’s position in the global economy and the trajectory and form of its growth over the last decade reveals that the interpretation of the Danish elite has been too narrow and neglects the distinctive roots of Denmark’s competitive strengths. Indeed, by responding in the way which they have, the Danish elite is in danger of undermining the very conditions of Denmark’s competitiveness.

Introduction: The world is passing through a technology explosion phase where one technology is being replaced by another very quickly. Emerging technologies play more important roles in the insurance sector directly or indirectly. These technologies have a high potential to change the insurance paradigm.

Purpose: In this chapter, we discuss emerging technologies such as artificial intelligence (AI), big data, blockchain, the internet of things (IoT), mobile technology, predictive analytics, social media, telematics, chatbots, low codes, and drones in the context of the insurance industry.

Methodology: To carry out our analysis, we searched for data using the keywords for each technology from the Web of Science (WoS) coral database. Certain inclusion and exclusion criteria were followed to select the articles for further analysis. R-studio was used for the data analysis and visualisation.

Findings: It was found that the highest number of research articles published are related to big data, followed by AI and social media. The first article on AI in insurance appeared in 1975. Social media is the highest cited new technology, whereas the low codes are the undiscovered paradigm for the insurance sector with no published research. Research on the impact of chatbots, drones, and mobile technology in the insurance industry is still at a nascent stage. We also noticed that the United States is leading the research on emerging technologies in the insurance sector.

Implications: This chapter audits the emerging technologies in the insurance sector and identifies technological areas with the highest, least, or no research, dominant journals, authors, and countries. This holistic overview empowers managers and academicians to decide the future course of action.

Constructing and evaluating behavioral science models is a complex process. Decisions must be made about which variables to include, which variables are related to each other, the functional forms of the relationships, and so on. The last 10 years have seen a substantial extension of the range of statistical tools available for use in the construction process. The progress in tool development has been accompanied by the publication of handbooks that introduce the methods in general terms (Arminger et al., 1995; Tinsley & Brown, 2000a). Each chapter in these handbooks cites a wide range of books and articles on specific analysis topics.

This chapter provides an alternative interpretation of the emergence of the “Ramsey-Cass-Koopmans” growth model, a framework which, alongside the overlapping generation model, is the dominant approach in today’s macroeconomics. By focusing on the role Paul Samuelson played through the works he developed in the turnpike literature, the author’s goal is to provide a more accurate history of growth theory of the 1940–1960s, one which started before Solow (1956) but never had him as a central reference. Inspired by John von Neumann’s famous 1945 article, Samuelson wrote his first turnpike paper by trying to conjecture an alternative optimal growth path (Samuelson, 1949 [1966]). In the 1960s, after reformulating the intertemporal utility model presented in Ramsey (1928), Samuelson began to propound it as a representative agent model. Through Samuelson’s interactions with colleagues and PhD students at the Massachusetts Institute of Technology (MIT), and given his standing in the profession, he encouraged a broader use of that device in macroeconomics, particularly, in growth theory. With the publication of Samuelson (1965), Tjalling Koopmans and Lionel McKenzie rewrote their own articles in order to account for the new approach. This work complements a recently written account on growth theory by Assaf and Duarte (2018).

Social and environmental accounting research manifests varying levels of awareness of critical global problems and the need to develop alternative approaches to dealing with economy and society. This paper explores Buddhist thought and, specifically, Buddhist economics as a means to informing this debate. We draw on and expand Schumacher's ideas about ‘Buddhist economics’, first articulated in the 1960s. Our analysis centres on Buddhism's Four Noble Truths, the Noble Eightfold Path and associated Buddhist teachings. The examination includes assumptions, means and ends of Buddhist approaches to economics; these are compared and contrasted with conventional economics.To consider how thought and practice may be bridged, we examine a practical application of Buddhism's Middle Way, in the form of Thailand's current work with ‘Sufficiency Economy’.Throughout the paper, we explore the implications for the development of social accounting, looking for mutual interactions between Buddhism and social accounting thought and practice.