Fu, M. C. - Andradottir, S. - Carson, J. S. - Glover, F. - Harrell, C. R.- Ho, Y. C. - Kelly, J. P. -Robinson, S. M. (2000): Integrating Optimization and Simulation: Research and Practice. In: Jones, J. A
Authors:M. Jurše, K. Logožar, M. Ključevšek, and R. Korez-Vide
In the emerging process of market globalisation, firms’ strategic options for optimising their cross-border operations have broadened. This paper presents a strategic framework for developing an appropriate strategic response of firms by relocating their production facilities and framing their operational procedures in such a way that they may, as eligible beneficiaries, exploit institutional incentive mechanisms available in a specific region or a host country. More specifically, in the paper we explore a strategic option for lowering firms’ operational costs through international operations by using the mechanism of diagonal cumulation of origin introduced by the European Union (EU) in its Common Commercial Policy towards selected non-member countries. Despite extensive discussions in theoretical literature on the conception of the rules of origin, only a few studies have explored the implications of this mechanism from the perspective of a firm’s transaction costs in international business. This paper shows that the ‘SAP+ diagonal cumulation of origin,’ when properly conceived and implemented by a firm, can positively affect its financial performance. By analysing the cost-effect simulation of a selected household appliance producer in the presented case study, we then discuss the key strategic and operational implications for firms wishing to take advantage of offered supranational institutional incentive mechanisms.
Authors:Éva Komlósi, László Szerb, Zoltán J. Ács, and Raquel Ortega-Argilés
This paper presents a regional application of the Global Entrepreneurship and Development Index (GEDI) methodology of Acs et al. (2013) to examine the level of entrepreneurship across Hungary’s seven NUTS-2 level regions between 2006 and 2012. The Regional Entrepreneurship and Development Index (REDI) has been constructed for capturing the individual efforts, and their contextual features, of entrepreneurship across regions. The REDI method builds on a Systems of Entrepreneurship Theory and provides a way to profile Regional Systems of Entrepreneurship. Important aspects of the REDI method include the Penalty for Bottleneck analysis, which helps in identifying constraining factors in Regional Systems of Entrepreneurship, and Policy Portfolio Optimisation analysis, which helps policymakers consider trade-offs between alternative policy scenarios and associated allocations of policy resources. The paper describes the entrepreneurial disparities amongst Hungarian regions and provides public policy suggestions to improve the level of entrepreneurship and to optimise resource allocation over the 14 pillars of entrepreneurship in the seven Hungarian regions.
Logistics industry, being the modern industry integrating information, forwarding, warehousing, and transportation, plays an important role in optimizing the industrial structure in regional economic development. There have been many experts and scholars interpreting the relationship between the level of regional economy and logistics industry from the aspect of econometric model. Referring to existing research results, Panel Vector Autoregressive Model and Factor Analysis are applied to study panel data of 5 coastal provinces in past 20 years and construct relevant indicators reflecting logistic competitiveness, the level of regional economy, and degree of openness in order to explore the linkage effect between logistic competitiveness and the level of regional economy. The results suggest that the 5 coastal provinces can merely achieve the long-term and steady development of regional economy by moving towards the linkage development between logistic industry and manufacturing industry.
using the round tripping. This is the case especially in services, which are frequently used in tax optimisation strategies. Third, the factors influencing decision about FDI in ABS were divided into two groups: supply and demand, and the analysis was