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The new economic-policy regime in Sweden in the 1990s included deregulation, central-bank independence, inflation targets and fiscal rules but also active labour market policy and voluntary incomes policy. This chapter describes the content, determinants and performance of the new economic policy in Sweden in a comparative, mainly Nordic, perspective. The new economic-policy regime is explained by the deep recession and budget crisis in the early 1990s, new economic ideas and the power of economic experts. In the 1998–2007 period, Sweden displayed relatively low inflation and high productivity growth, but unemployment was high, especially by national standards. The restrictive monetary policy was responsible for the low inflation, and the dynamic (ICT) sector was decisive for the productivity miracle. Furthermore, productivity increases in the ICT sector largely explains why the Central Bank undershot its inflation target in the late 1990s and early 2000s. The new economic-policy regime in Sweden performed well during the global financial crisis. However, as in other OECD countries, the moderate increase in unemployment was largely attributed to labour hoarding. And the rapid recovery of the Baltic countries made it possible for Sweden to avoid a bank crisis.

Purpose – Ascertaining the extent to which the generalized decline in union density, as well as the erosion in centralized bargaining structures and developments in other labor institutions, have contributed to rising within-country inequality.

Methodology – Econometric analysis of a newly developed dataset combining information on industrial relations and labor law, various dimensions of globalization, and controls for demand and supply of skilled labor for 51 Advanced, Central and Eastern European, Latin American, and Asian countries from the late 1980s to the early 2000s, followed by an analysis of 16 advanced countries over a longer time frame (from the late 1970s to the early 2000s).

Findings – In contrast to previous research, which finds labor institutions to be important determinants of more egalitarian wage or income distributions, the chapter finds that trade unionism and collective bargaining are no longer significantly associated with within-country inequality, except in the Central and Eastern European countries. These findings are interpreted as the result of trade unionism operating under more stringent structural constraints than in the past, partly as a result of globalization trends. In addition, despite much talk about welfare state crisis, welfare states, historically the result of labor's power and mobilization capacity, still play an important redistributive role, at least in advanced countries.

Practical implications – Union attempts at equalizing incomes by compressing market earnings seem ineffective and impractical in the current day and age. Unions should seek to increase the workers’ skill levels and promote an egalitarian transformation of the workplace. This type of “supply-side” egalitarianism is not a new strategy for unions, but is very much embedded in the unions’ DNA.

Introduction: Regional economies are significantly shaped by the new developments in technology, digital transformations, as well as by the demographic processes (the ageing population and international migration), all of these being amplified by the Covid-19 pandemics and requiring tailored strategies to bridge regional welfare gaps and enhance sustainable economic development.

Aim: This research provides a review of the interplay between the regional economic welfare and digitalisation, with a keen focus on digital transformations, education, digital skills and risk management strategies in filling development gaps and enhancing regional economic growth in a sustainable development framework, with a keen focus on Romania. In this approach, the study undertakes several essential research questions and designs an advanced theoretical and empirical research to inforce the knowledge in this scientific field.

Method: The methodological framework consists of robust regression models and spatial analysis with two types of spatial models, namely spatial lag-autoregressive and spatial error. National data compiled for Romania during the 2010–2019 lapse of time were exploited.

Findings: Main results encompass that digitalisation coordinates, education and digital skills are essential for enhancing the economic development and labour market performance of various regions in Romania, with beneficial spill-overs on sustainable economic welfare and poverty reduction. These advances bring to the fore important shifts in both demand and supply sides across regional economies that affect the equilibrium and overall performance, while public discourse, regulatory authorities, policy-makers and business representatives render global the keen need to strengthen the understandings in this scientific field.

Norway is a small nation state on the northernmost coastline of Western Europe, integrated in the Western world economy. For centuries Norway's integration in the world economy had been based on exports of raw materials such as fish and timber, as well as shipping services. In the early 20th century, furnace-based metals (made possible by cheap hydropower) were added to this export basket. Just as the world economy entered an increasingly unstable phase in 1970s, another natural resource was discovered in Norway: petroleum – that is, oil and natural gas from the North Sea. This chapter analyses the challenges and possibilities inherent in the Norwegian strategy of developing an oil economy in a world economic situation influenced by new and stronger forms of international integration through the four decades between 1970 and 2010.

Education and knowledge have become the prerequisites for the growth and development of any economy or region. Knowledge is a liberator of individuals and societies from human poverty and is a precondition for rapid advancement in today's global knowledge economy (KE). Any nation or region which does not key into the global KE trend may find it very difficult to catch up and become competitive in the global market so as to benefit from the power of knowledge. The objective of this chapter is to investigate whether knowledge and human capital have contributed to the growth of sub-Saharan African (SSA) countries. Out of the four pillars of KE – the economic and institutional regime (including governance), education and human resources, the innovation system, and information infrastructure – this study focused on education and human capital in the estimation of how knowledge has contributed to growth of SSA countries. The data for the study were sourced from World Development Indicators published by The World Bank Group. Autoregressive Distributed Lag (ARDL) model was applied and the results show that knowledge variables have a significant impact on economic growth of SSA countries. It is therefore recommended that welfare and working conditions of the labor force be improved so as to be more productive; SSA countries should key into the KE policies so as to be competitive in the production, use, dissemination and transfer of knowledge, ICT, and science.

This chapter evaluates the readiness of the higher education system to contribute to the competitiveness of African countries in the knowledge economy. Using institutions of higher learning in Kenya and Uganda as case studies, the study demonstrates that the higher education system in Africa is ill-equipped to fulfill the role of knowledge production for the advancement of African economies. The chapter proposed promising ways through which higher education in the region can play a more fulfilling role to the global knowledge economy through the formation of relevant skills for the growth of African economies. In an era where knowledge assets are accorded more importance than capital and labor assets, and where the economy relies on knowledge as the key engine of economic growth, this chapter argues that higher education institutions in Africa can assist in tackling the continent’s challenges through research in knowledge creation, dissemination, and utilization for improved productivity. These institutions need to engage in design-driven innovation in the emerging knowledge economy. To enhance their contributions toward human capital development and knowledge-intensive economies in the region, it is imperative to employ public-private initiatives to bridge and address various challenges and gaps facing universities and research institutions in Africa.