Trends and cycles in regional economic growth: How spatial differences shaped the Swedish growth experience from 1860–2009

Using a novel dataset of regional GDP per worker from 1860 to 2009, this paper analyzes communalities in regional long-term growth trajectories for 24 Swedish regions. Wavelet Analysis and Principal Component Analysis are used to decompose regional growth trajectories and assess the extent that regional growth patterns share common trends and cyclical properties. The study found that regional growth trends show strong common features among groups of regions in Sweden. Natural-resource-rich regions benefited from the First Industrial Revolution. Contrary to regional development in many other European economies, a growth surge in Sweden later benefited virtually the whole country during the Second Industrial Revolution. The countrywide trend of growth slowed in the 1970s when the metropolitan regions became the main growth engines. In mid- and short-term cyclical movements, regions display more heterogeneous growth patterns, and we find evidence of mid-term, sequential lead–lag patterns in regional growth, especially between urban cores and the periphery.     

Who moves first? An intensity-based measure for information flows across stock exchanges

In this paper we propose an innovative measure for information flows between stock exchanges. We develop an intensity-based information share using Russell’s (1999) autoregressive conditional intensity model. Thereby we maintain the irregular nature of financial high frequency data and use durations and timing of price changes to determine the informationally dominant market. From our empirical application to US-listed Canadian stocks we conclude that the home market mostly reflects information first. On the basis of a cross-sectional analysis we find a positive correlation between the intensity-based information share and liquidity.     

The Solar Shakeout – Capital Market Reactions to Bankruptcy Announcements in the German Solar Industry

This paper investigates how bankruptcy announcements in the German solar industry affect the stock market returns of announcing firms and their competitors. We show that German solar firms experience negative capital market reactions to their own bankruptcy announcements and to the announcements of their competitors. Cross-sectional analysis reveals that these negative information externalities are magnified by higher leverage. Further analysis also indicates that these negative information externalities are valuable predictors in short-term default probability models.     

Identifying development blocks—a new methodology

The paper specifies a quantitative methodology for exploring development blocks. The concept of ‘development block’ was a major contribution to the historical analysis of industrial transformation by the late Erik Dahmén, but development blocks have mainly been analyzed by qualitative methods and indirect indicators and not statistically identified. In this paper, development blocks are identified by means of a combination of co-integration analysis and Granger causality. Using these techniques, we are able to identify two partially overlapping development blocks in the Swedish economy, formed around the electricity generating sector: one with metal, metal goods, machinery and railways; and another with pulp and paper, chemicals, and machinery.

The Effect of Selective Openness on Value Creation in User Innovation Communities

Open innovation research and practice recognize the important role of external complementors in value creation. At the same time, firms need to retain exclusive control over some essential components to capture value from their product and/or service system. This paper contributes to the literature by analyzing some of the trade‐offs between openness to external value creation and closedness for internal value capture. It focuses on selective openness as a key variable and investigates how it affects value creation by external complementors, specifically the members of user innovation communities. Openness, it is hypothesized, matters to community members: The more open a product design is, the higher their sense of involvement in the innovation project, and the larger the effort they devote to it. Unlike prior literature, different forms and loci of openness are distinguished, specifically the transparency, accessibility, and replicability of different components of the product being developed. Hypotheses are tested based on survey data (n = 309) from 20 online communities in the consumer electronics and information technology hardware industries. Multilevel regression analysis is used to account for clustering, and thus nonindependent data, at the community level. We find that openness indeed increases community members’ involvement in the innovation project and their contributions to it. Interestingly, however, some forms and loci of openness strongly affect community perceptions and behavior, while others have limited or no impact. This finding suggests that, at least in relation to user communities, the trade‐off that firms face between external value creation and internal value capture is softer than hitherto understood. Contingency factors that may be able to explain these patterns are advanced. For example, users are expected to value the form of openness that they have the capabilities and incentives to exploit. The findings in this paper extend the literature on selective openness in innovation. They emphasize the need to study the demand for different forms of openness at the subsystem level and align supply‐side strategies to it. In managerial practice, a careful assessment of the demand for openness enables firms to successfully use selective openness and to effectively appropriate value from selectively open systems.