استكشف المجموعة الواسعة من العناوين المتاحة.

KreaNord kom till år 2008 som en del av Nordiska ministerrådets globaliseringsarbete, med syftet att utveckla och profilera Norden som en arena för kreativa näringar. KreaNord har sedan dess etablerat ett tvärsektoriellt policysamarbete mellan kultur- och näringsdepartement och myndigheter, tagit fram kunskapsunderlag, samt drivit flera projekt kring bland annat entreprenörskap i konstnärliga utbildningar och finansieringsfrågor. Programmet avslutades under 2015. Analys- och strategiföretaget Kontigo AB har under våren 2015 utvärderat KreaNord. Utvärderingen fokuserar på resultat och måluppfyllelse, men även aspekter såsom organisation, varumärke och lärdomar för framtiden. Utvärderingen visar bland annat att KreaNord har skapat ett tvärsektoriellt samarbete på policynivå, samt har bidragit till utvecklingen av strategier för stöd till kreativa näringar i flera av de nordiska länderna

The replicability of some scientific findings has recently been called into question. To contribute data about replicability in economics, we replicated 18 studies published in the American Economic Review and the Quarterly Journal of Economics between 2011 and 2014. All of these replications followed predefined analysis plans that were made publicly available beforehand, and they all have a statistical power of at least 90% to detect the original effect size at the 5% significance level. We found a significant effect in the same direction as in the original study for 11 replications (61%); on average, the replicated effect size is 66% of the original. The replicability rate varies between 67% and 78% for four additional replicability indicators, including a prediction market measure of peer beliefs.

Has rising import competition contributed to the polarization of US politics? Analyzing multiple measures of political expression and results of congressional and presidential elections spanning the period 2000 through 2016, we find strong though not definitive evidence of an ideological realignment in trade-exposed local labor markets that commences prior to the divisive 2016 US presidential election. Exploiting the exogenous component of rising import competition by China, we find that trade exposed electoral districts simultaneously exhibit growing ideological polarization in some domains, meaning expanding support for both strong-left and strong-right views, and pure rightward shifts in others. Specifically, trade-impacted commuting zones or districts saw an increasing market share for the Fox News channel (a rightward shift), stronger ideological polarization in campaign contributions (a polarized shift), and a relative rise in the likelihood of electing a Republican to Congress (a rightward shift). Trade-exposed counties with an initial majority White population became more likely to elect a GOP conservative, while trade-exposed counties with an initial majority-minority population became more likely to elect a liberal Democrat, where in both sets of counties, these gains came at the expense of moderate Democrats (a polarized shift). In presidential elections, counties with greater trade exposure shifted toward the Republican candidate (a rightward shift). These results broadly support an emerging political economy literature that connects adverse economic shocks to sharp ideological realignments that cleave along racial and ethnic lines and induce discrete shifts in political preferences and economic policy.

PurposeThe purpose of this paper is to explain how public sector accounting has changed and is changing due to public governance development.Design/methodology/approachThis paper conducts a traditional literature review based on selected studies in the fields of accounting, public administration and management. The aim of the review is to explain how diverse forms of public governance influence the fate of public sector accounting, including accountability, performance measurement, budgeting and reporting practices.FindingsPublic governance is developing into more inclusive but also complex forms, resulting in network, collaborative and digital governance. Consequently, the focus and practices of public sector accounting have changed, as reflected in new types of accountability, performance measurement, budgeting and reporting practices.Research limitations/implicationsDrawing upon literature from different fields enables a deeper understanding of the changes in public sector accounting. Nevertheless, the intention is not to execute a systematic literature review but to provide an overview and resolve the scattered body of knowledge generated by previous contributions. The areas of risk management and auditing were not included and deserve further attention.Originality/valueThis paper discusses the need to continually redefine and reassess public sector accounting practices, by recognising the interdependencies between different actors, citizens and digital technologies.

This Special Issue includes a collection of articles on structural change and the potential danger of a new age of capitalism which is being shaped by several and different fields such as financialization and roboticization, combined with jobless growth and low levels of productivity growth in the services sector, and the need to integrate sustainability issues at the supply and demand levels. This Special Issue proposes and investigates the institutions and types of governance that might be used to regulate these changes, and the risks and opportunities that are reshaping ways of doing things. The aim is to encourage cross-fertilization of the thinking related to diverse areas such as innovation, path dependency, trajectories, demand issues, and post Keynesian insights. There are several prior works in this direction (Dosi et al. 2010, 2019) which provide a “roadmap” and respond to calls for a new European industrial policy to address the nature of the structural challenges involved with a focus on instruments (Mazzucato et al. 2015).

We study the impact of algorithmic trading (AT) in the foreign exchange market using a long time series of high-frequency data that identify computer-generated trading activity. We find that AT causes an improvement in two measures of price efficiency: the frequency of triangular arbitrage opportunities and the autocorrelation of highfrequency returns. We show that the reduction in arbitrage opportunities is associated primarily with computers taking liquidity. This result is consistent with the view that AT improves informational efficiency by speeding up price discovery, but that it may also impose higher adverse selection costs on slower traders. In contrast, the reduction in the autocorrelation of returns owes more to the algorithmic provision of liquidity. We also find evidence consistent with the strategies of algorithmic traders being highly correlated. This correlation, however, does not appear to cause a degradation in market quality, at least not on average.

Rankings are omnipresent in the finance industry, yet the literature is silent on how they impact financial professionals' behavior. Using lab-in-the-field experiments with 657 professionals and lab experiments with 432 students, we investigate how rank incentives affect investment decisions. We find that both rank and tournament incentives increase risk-taking among underperforming professionals, while only tournament incentives affect students. This rank effect is robust to the experimental frame (investment frame vs. abstract frame), to payoff consequences (own return vs. family return), to social identity priming (private identity vs. professional identity), and to professionals' gender (no gender differences among professionals).

Being able to replicate scientific findings is crucial for scientific progress . We replicate 21 systematically selected experimental studies in the social sciences published in Nature and Science between 2010 and 2015 . The replications follow analysis plans reviewed by the original authors and pre-registered prior to the replications. The replications are high powered, with sample sizes on average about five times higher than in the original studies. We find a significant effect in the same direction as the original study for 13 (62%) studies, and the effect size of the replications is on average about 50% of the original effect size. Replicability varies between 12 (57%) and 14 (67%) studies for complementary replicability indicators. Consistent with these results, the estimated true-positive rate is 67% in a Bayesian analysis. The relative effect size of true positives is estimated to be 71%, suggesting that both false positives and inflated effect sizes of true positives contribute to imperfect reproducibility. Furthermore, we find that peer beliefs of replicability are strongly related to replicability, suggesting that the research community could predict which results would replicate and that failures to replicate were not the result of chance alone.