Refine
Year of publication
Document Type
- Working Paper (14)
- Article (reviewed) (13)
- Article (unreviewed) (13)
- Part of a Book (5)
- Book (2)
Is part of the Bibliography
- yes (47) (remove)
Keywords
- Export (18)
- Trade (10)
- Finance (7)
- COVID-19 (4)
- ECA (4)
- Innovation (3)
- Insurance (3)
- Climate (2)
- Credit Agency (2)
- Export Credit (2)
Institute
- IfTI - Institute for Trade and Innovation (47) (remove)
Open Access
- Open Access (28)
- Closed (8)
- Closed Access (4)
- Bronze (3)
- Diamond (2)
- Gold (1)
- Hybrid (1)
Germany was considered the world's export champion for a long time, until it was overtaken by China in 2009. Both nations provide officially supported export credits to national exporting organizations, but the two systems operate differently. German export credit guarantees serve as a substitute when the private market is unable to assume the risks of exporting companies. The German Export Credit Agency Euler Hermes is responsible for processing applications on behalf of the Federal Government. China belongs to the largest providers of export finance with the institutions China EXIM and Sinosure. While Germany is bound by the OECD consensus, which defines the level playing field, Chinese export credit agencies have greater flexibility not being bound by international rules or agreements.
Purpose
Although start-ups have gained increasing scholarly attention, we lack sufficient understanding of their entrepreneurial strategic posture (ESP) in emerging economies. The purpose of this study is to examine the processes of ESP of new technology venture start-ups (NTVs) in an emerging market context.
Design/methodology/approach
In line with grounded theory guidelines and the inductive research traditions, the authors adopted a qualitative approach involving 42 in-depth semi-structured interviews with Ghanaian NTV entrepreneurs to gain a comprehensive analysis at the micro-level on the entrepreneurs' strategic posturing. A systematic procedure for data analysis was adopted.
Findings
From the authors' analysis of Ghanaian NTVs, the authors derived a three-stage model to elucidate the nature and process of ESP Phase 1 spotting and exploiting market opportunities, Phase II identifying initial advantages and Phase III ascertaining and responding to change.
Originality/value
The study contributes to advancing research on ESP by explicating the process through which informal ties and networks are utilised by NTVs and NTVs' founders to overcome extreme resource constraints and information vacuums in contexts of institutional voids. The authors depart from past studies in demonstrating how such ties can be harnessed in spotting and exploiting market opportunities by NTVs. On this basis, the paper makes original contributions to ESP theory and practice.
Supporting the COVID-19 response in Asia and the Pacific—The role of the Asian Development Bank.
(2020)
The COVID-19 pandemic has affected all countries of the Asia Pacific region over the last few months with far reaching economic, health and social consequences. To counter the impact, governments have accelerated their health spending and announced large macroeconomic stabilization and stimulus policy packages. As with past disasters and crises in the region, the Asian Development Bank has reacted with a number of targeted support interventions since the very early stages of the outbreak. In mid- April 2020, the Bank then put forward a comprehensive COVID-19 Response Package totalling $20 billion to support its member countries which rests on four pillars.
The last few months have proven that multilateral development banks like the Asian Development Bank have the ability to respond quickly and to mobilize significant resources for a global emergency like COVID-19. Whilst this financial supported is urgently needed at this point, attention will need to be paid on how debt sustainability for low- and middle-income countries can be ensured in the coming years. Given the unprecedented scale of and uncertainty around the COVID-19 pandemic, it may offer a window of opportunity to redesign the way developmental finance is coordinated and the way it is delivered. This also includes a chance to “build back better” and to focus on a sustainable, resilient and green recovery.
In der genossenschaftlichen FinanzGruppe werden neben Verbundunternehmen wie zum Beispiel der DZ Bank rund 45 bis 50 Genossenschaftsbanken von der künftigen Berichtspflicht nach der sogenannten CSR-Richtlinie betroffen sein. Dieser Artikel gibt Hinweise zu Auswirkungen der neuen Gesetzeslage, aber auch zu Chancen und Potenzialen. Diskutiert wird insbesondere, was das neue Gesetz bzw. der Regierungsentwurf von 2016 besagt, und was die Vorgaben konkret für Genossenschaftsbanken bedeuten. Der Beitrag diskutiert zudem Synergien, Chancen und Potenziale: Das Thema Nachhaltigkeit kann wertvolle Impulse für eine zielgerichtete Weiterentwicklung des eigenen Geschäftsmodells bieten, beispielsweise wie neue Kundengruppen und/oder neue Ertragspotenziale mit Hilfe von neuen Produkten beziehungsweise Geschäftsfeldern erschlossen werden können.
Decentralized applications (dApp) have proliferated in recent years, but their long-term viability is a topic of debate. However, for dApps to be sustainable, and suitable for integration into a larger service networks, they need to attract users and promise reliable availability. Therefore, assessing their longevity is crucial. Analyzing the utilization trajectory of a service is, however, challenging due to several factors, such as demand spikes, noise, autocorrelation, and non-stationarity. In this study, we employ robust statistical techniques to identify trends in currently popular dApps. Our findings demonstrate that a significant proportion of dApps, across a range of categories, exhibit statistically significant positive overall trends, indicating that success in decentralized computing can be sustainable and transcends specific fields. However, there is also a substantial number of dApps showing negative trends, with a disproportionately high number from the decentralized finance (DeFi) category. Furthermore, a more detailed inspection of time series segments shows a clearly diminishing proportion of positive trends from mid-2021 to the present. In summary, we conclude that the dApp economy might have lost some momentum, and that there is a strong element of uncertainty regarding its future significance.
Prediction of Claims in Export Credit Finance: A Comparison of Four Machine Learning Techniques
(2020)
This study evaluates four machine learning (ML) techniques (Decision Trees (DT), Random Forests (RF), Neural Networks (NN) and Probabilistic Neural Networks (PNN)) on their ability to accurately predict export credit insurance claims. Additionally, we compare the performance of the ML techniques against a simple benchmark (BM) heuristic. The analysis is based on the utilisation of a dataset provided by the Berne Union, which is the most comprehensive collection of export credit insurance data and has been used in only two scientific studies so far. All ML techniques performed relatively well in predicting whether or not claims would be incurred, and, with limitations, in predicting the order of magnitude of the claims. No satisfactory results were achieved predicting actual claim ratios. RF performed significantly better than DT, NN and PNN against all prediction tasks, and most reliably carried their validation performance forward to test performance.
The aim of this essay is to point out the challenges and opportunities of government export credits and insurance in Europe. The Covid-19 pandemic confronted the entire world with new challenges. This also applied to the export financing and insurance market. Furthermore, there are also challenges that play a major role for ECAs regardless of the pandemic. However, the risks are also offset by opportunities that may enable European export credit agencies to prevail against international competition.
The focus of this essay is on the export credit agencies from Finland (Finnvera), Sweden (EKN) and Portugal (COSEC). As part of the European Union (EU) and the Organisation for Economic Co-operation and Development (OECD) the three ECAs share many fundamental similarities but in some points they may also distinguish from each other.
Economic growth is usually driven by improvements in productivity, economic efficiency, trade and innovation. Increasing efficiency means to produce larger output using the same amount of factors for production such as raw materials, labour, and capital. However, regardless of the driver, growth is often investment-hungry and it is not rare to find an economy with potential for growth but lacking locally available investment. In this scenario, Foreign Direct Investment (FDI) can fill the gap between investment needed to promote economic growth and locally available investments.
The aim of this essay is to give an overview about recent developments of the government innovation funds of Sweden and Finland. In order to discover recent developments basic knowledge regarding innovation funds, funding structures and information about the two big funding agencies Vinnova Sweden and Business Finland is presented. Building on this information, the developments of the two funding agencies are compared and examined for similarities and differences. Both countries have a very similar structure in terms of the R&D sector and are striving with the same issues. Just as sustainability is a leading issue, the collaboration between the different shareholders is another main challenge. Both topics were negatively affected by the COVID-19 pandemic. Both Sweden and Finland had to really push forward innovation with financial support and political, strategic goals. Even though there are strong recent developments, the countries are facing the same challenges, do have similar funding structures and therefore have no big comparative strengths or weaknesses to each other.