Search results

The paper investigates the offshore crisis 2015–2017 and its impact on central international offshore oil and gas related maritime cluster, the Blue Maritime Cluster, located at the North-Western coast of Norway.This complete maritime cluster, heavily involved in offshore petroleum operations, it experienced an almost devastating blow, as it lost almost one-third of its employees as its value added contracted by 39 percent.When the crises is basically seen as a result of falling of oil prices and lower activity and squeezed profit margins, this paper investigates the crisis in the light of financial instability and reactions down the maritime supply chain. By collecting data from the Blue Maritime Cluster and the Norwegian central company register one is able both to trace the fall in the activity due to the crisis and measures of financial strength. The study approaches the data by using a structural time series analysis in order to map cycles as deviations from polynomial trends.The findings ascertain that financial instability was dominant within the Blue Maritime Cluster during its boom before the crisis. Debt ratios and thereby gearing (leverage) were high. Thus, the companies could not meet their obligations when the crisis hit.The paper also finds that narrow focused supply chain management made the cluster fall deep into the abyss. Companies with a more diversified portfolio were able to meet the hard years better than others.

This paper deals with relationships between puritanism, management and entrepreneurship. As this is an on-going debate among economic historians, it focuses on the period from the early 1800s until present times, where Norwegian high profile puritan entrepreneurship serves as the case. The theoretical framework is that entrepreneurship is seen as an important liaison factor representing multifactor productivity in a Solow growth model. The paper provides new insight within different areas on the basis of utilization of available sources. Firstly, it gives new estimates of the entrepreneurship of the puritan leader, Hans Nielsen Hauge (1771–1824). Secondly, it organizes his followers in three generations. The first is those who directly took up his heritage, i.e. Haugeans. Their heydays lasted until the middle of the 19th century. The second generation is characterized as Haugean descendants. These were highly influenced by the movement's values. They dominated the scene from the late 1800s to the late 1900s. The third generation is called Neo-Haugeans, largely a fruit of the revival of Haugean values during the last decades. Thirdly, the paper maps attributes and motivation of this puritan entrepreneurship during generations. The authors conclude that it was guided by high degree of innovation, family ownership, wide portfolios, and continuity, when stewardship seems to be an important motivational factor.

It is assumed that technological progress plays a vital role in energy efficiency improvements when the effects of industrial restructuring, infrastructure, environmental challenges, and economic shocks seem more dubious. However, a limited number of studies have been conducted to examine the impact of technological innovation on countries' energy efficiency levels. This study aims to explore the relationship between energy efficiency, technological innovation, and economic growth in 30 European countries by utilizing data from 2012 to 2020. To this end, a two-stage analysis is carried out. The first step involves estimating the total factor energy efficiency (TFEE) by the countries to illustrate the effects of energy parameters on economic growth and the environment, and technological innovation (TI) to estimate the innovation capability of each country by using data envelopment analysis (DEA) methodology. The second step includes a panel regression model to explore how technological innovation affects energy efficiency, considering the degree of government intervention, industrial structure, infrastructure, and economic openness.The results indicate that the bottom-15 countries, whose TFEE scores were the lowest, are mainly countries of Central and Eastern Europe. Regarding the countries' technological capability, the results were similar, but the score was lower than the TFEE. Moreover, the regression analysis shows that a one percent increase in innovation activity contributes to an increase in energy efficiency by 0.27 percent. Hence, it confirms the notion of a positive impact of new technology on energy efficiency.
AcknowledgmentsThe study is supported by the grant from the Research Based Innovation "SFI Marine Operation in Virtual Environment (SFI-MOVE)" (Project No. 237929) in Norway.