Ola Honningdal Grytten

The size of the public sector is an important tool in public governance. Public sector size may fuel both economic growth and political influence over the economy.
By compiling and processing data from different sources of public accounts the paper aims at mapping the development of key financial indicators for the Norwegian central government sector during the transition period from the mid 19th to the mid 20th century. The data enable us to give measures of the size of the public sector alone and compared to the overall economy.
It is found that the sector started its continuous growth before politicians deliberately started to increase the sector’s size of the total economy. The paper also finds that an increase of the public sector often, but not always, reflects political economy regimes. Persistent growth in public finances as a tool for economic policy making did not take place before the introduction of the social-democratic regime in 1935.
The paper also concludes that economic growth started before the growth in the public sector, suggesting that public sector growth might as well be a result of economic growth or vice versa.

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.

This paper sheds light on the financial crisis of 2008–2010 in eleven emerging Eastern European economies (EE11): Armenia, Azerbaijan, Belarus, Bulgaria, Georgia, Kazakhstan, the Kyrgyz Republic, Moldova, Romania, Tajikistan and Ukraine. The aim is twofold. In the first place it seeks to find out if the financial instability hypothesis, as put forward by Minsky and Kindleberger, is a valid explanatory factor for the crisis. Secondly, it tries to map if general institutional frameworks of these countries were developed in order to stand against the factors leading into the financial crisis.
To answer these research problems the paper maps cycles of three parameters representing the real economy, i.e. gross domestic product, manufacturing output and unemployment and four parameters representing the financial markets, i.e. money supply, credit volumes, inflation and government debt. The cycle approach is carried out with the help of a structural time series analysis to isolate cycles in time series. The paper concludes that there were substantial positive financial cycles previous to the financial crisis mirrored by similar cycles in the real economy.
Similarly, the results show negative cycles in the same parameters during the years of crisis. It seems that an uncontrolled increase in money and credit caused the economy to overheat and thereafter contract into financial and real economy crises.
Also, the paper compiles twelve different indices of institutional development. These are standardized and presented in an institutional development matrix, showing that the general institutional framework for the eleven economies was weak previous to and under the meltdown of the economies.
The construction of an integrated institutional development index on the basis of the same twelve parameters confirms institutional shortcomings, which may have made the economies less able to guard themselves from a crisis initiated by both domestically and internationally financial instability.

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.

The paper examines the importance of financial instability for the development of four Norwegian banking crises. The crises are the Post First World War Crisis during the early 1920s, the mid 1920s Monetary Crisis, the Great Depression in the 1930s, and the Scandinavian Banking Crisis of 1987–1993.
The paper first offers a description of the financial instability hypothesis applied by Minsky and Kindleberger, and in a recent dynamic financial crisis model. Financial instability is defined as a lack of financial markets and institutions that provide capital and liquidity at a sustainable level under stress. Financial instability basically evolves during times of overheating, overspending and extended credit granting. This is most common during significant booms. The process has devastating effects after markets have turned into a state of negative development.
The paper tests the validity of the financial instability hypothesis using a quantitative structural time series model. It reveals upheaval of 10 financial and macroeconomic indicators prior to all the four crises, resulting in a state of economic overheating and asset bubble creation. This is basically explained by huge growth in debts. The overheating caused the following banking crises.
Finally, the paper discusses the four crises qualitatively. Again, the conclusion is that a significant increase in money supply and debt caused overheating, asset bubbles, and thereafter, financial and banking crises, which in turn spread to other markets and industries and caused huge slumps in the real economy.

This paper contributes to the understanding of how the environment, ethics, values, and historical contingencies shape public policy. It explains the accomplishment of petroleum resource management in the small open economy of Norway. The study is conducted by mapping policy decisions and the arguments behind them regarding environmental and ethical issues. This is done by studying available governmental and parliamentary papers along with statements from politicians and central governmental officials. The paper also seeks to illuminate some of the decisions by quantitative measures.
The paper firstly describes a model of Ricardian resource rent. Secondly, it investigates the set of values that were in place before the petroleum production started in the 1970s, as described in public documents. An important argument was to build a “qualitatively better society” for the benefit of the people. Thirdly, it traces the historical roots of these values by examining historical sources.
The main findings are that success lies in understanding the ethics behind the environmental resource rent harvesting of this non-renewable natural resource. The paper concludes that the focus on the natural environment and resource rent management can be attributed to popular values built on historical traditions. According to them, the state and the trust between the state and its citizens played key roles in shaping the policy. The careful policy can be illustrated by the fact that Norway has managed to build one of the largest sovereign funds in the world worth USD 1,200 billion for use by future generations. Only 3% of its value, significantly less than its historical net profit, should be used annually.

Scholars warn that wealth leads to unsustainable environmental development. However, over the last decades, studies have shown an increase in environmental degradation at the initial stage of economic growth, and then a decline when economic growth reaches a certain level. This first acceleration and then deceleration create an inverted U-shaped curve between pollution and economic growth, called the environmental Kuznets curve (EKC). Environmental degradation can be measured by different factors. This paper deals with two of them, i.e. energy consumption and energy intensity (EI). The latter is measured as the ratio between energy consumption and GDP. The relationship of energy consumption and intensity to economic growth can serve as a tool for examining whether an EKC exists. The paper presents continuous series of energy consumption energy intensity and gross domestic product for the Norwegian mainland economy 1835–2019. The series are used to examine the possible existence of relative and absolute environmental Kuznets curves (EKC). Time series are established using available data and annual figures for 1835–2019, which are presented for the first time. They depict a development that, first, reflects an almost constant downward trend in EI, and, second, the existence of EKCs. The paper also proposes a polynomial regression model to discuss the relationship between environmental degradation as measured by energy consumption and intensity on the one hand, and economic growth on the other. It is concluded that there are both relative and absolute EKC-relations between environmental degradation and economic growth, with 1975 as relative and 2002 as absolute turning point.

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.

Acknowledgments
The study is supported by the grant from the Research Based Innovation “SFI Marine Operation in Virtual Environment (SFI-MOVE)” (Project No. 237929) in Norway.