MNE’s Regional Location Choice - A Comparative Perspective on East Germany, the Czech Republic and Poland

The focus of this article is the empirical identification of factors influencing Foreign Direct Investment (FDI) in transition economies on a regional level (NUTS 2). The analysis is designed as benchmark between three neighboring post-communist regions, i.e. East Germany, the Czech Republic and Poland. Their different transition paths have not only resulted in economic differences. We can also observe today that the importance of pull factors for FDI varies significantly across the regions. This analysis shows that in comparison with Poland and the Czech Republic, East Germany’s major benefit is its purchasing power, its geographical proximity to West European markets, and its modern infrastructure. Furthermore, the analysis suggests that intra-industry linkages such as specialization and agglomeration economies are relevant factors for the location decision of foreign investors. This result can help to explain the regional divergence of FDI streams in transition economies.multinational enterprises, international business, regional economic activity: growth, development, and changes, discrete choice

MNE’s Regional Location Choice - A Comparative Perspective on East Germany, the Czech Republic and Poland

The focus of this article is the empirical identification of factors influencing Foreign Direct Investment (FDI) in transition economies on a regional level (NUTS 2). The analysis is designed as benchmark between three neighboring post-communist regions, i.e. East Germany, the Czech Republic and Poland. Their different transition paths have not only resulted in economic differences. We can also observe today that the importance of pull factors for FDI varies significantly across the regions. This analysis shows that in comparison with Poland and the Czech Republic, East Germany's major benefit is its purchasing power, its geographical proximity to West European markets, and its modern infrastructure. Furthermore, the analysis suggests that intra-industry linkages such as specialization and agglomeration economies are relevant factors for the location decision of foreign investors. This result can help to explain the regional divergence of FDI streams in transition economies.Der Fokus dieses Artikels liegt auf der empirischen Identifikation von Faktoren, die ausländische Direktinvestitionen (FDI) in Transformationsökonomien auf regionaler Ebene (NUTS 2) beeinflussen. Die Untersuchung ist als Vergleich zwischen drei benachbarten post-kommunistischen Transformationsregionen (Ostdeutschland, der Tschechischen Republik und Polen) konzipiert. Wie sich zeigt, resultieren die Besonderheiten der länderspezifischen Transformationspfade nicht nur in unterschiedlichen gesamtwirtschaftlichen Strukturen. Stattdessen unterscheiden sich auch die Einflussfaktoren für die Anziehung von FDI zwischen den betrachteten Regionen. So belegt diese Analyse, dass Ostdeutschland im Vergleich zur Tschechischen Republik und Polen vor allem von seiner Kaufkraft, seiner geographischen Nähe zu den westeuropäischen Märkten und seiner modernen Infrastruktur profitiert. Außerdem zeigt die Analyse, dass sektorale Verflechtungen wie regionale Spezialisierung und Agglomerationseffekte relevante Einflussgrößen für die Ansiedlungsentscheidung ausländischer Unternehmen sind. Dieses Ergebnis trägt somit zur Erklärung der Divergenz von FDI-Strömen zwischen Transformationsregionen bei

NACHHALTIGER ANBAU VON BIOENERGIE – EINE ÖKONOMISCH-ÖKOLOGISCHE ANALYSE FÜR DAS UMWELTMINISTERIUM IN BADEN-WÜRTTEMBERG

Agrarumweltpolitik, Naturschutz, Bioenergie, ökonomisch-ökologische Analyse, Regionalmodell, Environmental Economics and Policy, Farm Management, Land Economics/Use, Resource /Energy Economics and Policy,

Bacterial protein microarrays for identification of new potential diagnostic markers for Neisseria meningitidis infections

Neisseria meningitidis is the most common cause of meningitis and causes epidemic outbreaks. One trait of N. meningitidis, which is associated with most of the currently recognized virulence determinants, is the presence of phase-variable genes that are suspected to enhance its ability to cause an invasive disease. To detect the immune responses to phase-variable expressed proteins, we applied protein microarray technology for the screening of meningitis patient sera. We amplified all 102 known phase-variable genes from N. meningitidis serogroup B strain MC58 by polymerase chain reaction and subcloned them for expression in Escherichia coli. With this approach, we were able to express and purify 67 recombinant proteins representing 66% of the annotated genes. These were spotted robotically onto coated glass slides to generate protein microarrays, which were screened using 20 sera of patients suffering from meningitis, as well as healthy controls. From these screening experiments, 47 proteins emerged as immunogenic, exhibiting a variable degree of seroreactivity with some of the patient sera. Nine proteins elicited an immune response in more than three patients, with one of them, the phase-variable opacity protein OpaV (NMB0442), showing responses in 11 patient sera. This is the first time that protein microarray technology has been applied for the investigation of genetic phase variation in pathogens. The identification of disease-specific proteins is a significant target in biomedical research, as such proteins may have medical, diagnostic, and commercial potential as disease markers

Subnanoliter enzymatic assays on microarrays

Many areas of research today are based on enzymatic assays most of which are still performed as enzyme-linked immunosorbent assays in microtiter plates. The demand for highly parallel screening of thousands of samples eventually led to a miniaturization and automation of these assays. However, the final transfer of enzymatic assays from a microtiter-based technology to microarrays has proven to be difficult for various reasons, such as the inability to maintain unbound reaction products on the spot of reaction or the missing capability of multiplexing. Here, we have conducted multiplex enzymatic assays in subnanoliter volumes on a single microarray using the multiple spotting technology. We were able to measure enzymatic activity with a sensitivity down to 35 enzyme molecules, applying only conventional flat microarray surfaces and standard microarray hardware. We have performed assays of inhibition and applied this format for the detection of prognostic markers, such as cathepsin D. The new approach allows the rapid and multiplex screening of thousands of samples on a single microarray with applications in drug screening, metagenomics, and high-throughput enzyme assays

Airports at Risk: The Impact of Information Sources on Security Decisions

Security decisions in high risk organizations such as airports involve obtaining ongoing and frequent information about potential threats. Utilizing questionnaire survey data from a sample of airport employees in European Airports across the continent, we analyzed how both formal and informal sources of security information affect employee's decisions to comply with the security rules and directives. This led us to trace information network flows to assess its impact on the degree employees making security decisions comply or deviate with the prescribed security rules. The results of the multivariate analysis showed that security information obtained through formal and informal networks differentially determine if employee will comply or not with the rules. Information sources emanating from the informal network tends to encourage employees to be more flexible in their security decisions while formal sources lead to be more rigid with complying with rules and protocols. These results suggest that alongside the formal administrative structure of airports, there exists a diverse and pervasiveness set of informal communications networks that are a potent factor in determining airport security levels

Global migration governance and mixed flows: implications for development-centred policies

Refugee movements, international migration and socio-economic development are intimately bound up together. The impacts of global migratory movements depend on their political management: circumstances conducive to development require close and dependable cooperation between the countries involved. But international cooperation on refugee and migration policy - global migration governance - has to date been weak. Important institutional and policy changes are currently under way, with the Sustainable Development Goals (SDGs) adopted by the United Nations in 2015 including at least some universally binding targets and indicators for migration. And in September 2016 the international community decided to prepare two global compacts - one for migration, one for refugees - within the space of two years. Both will have repercussions for the international institutional setup and the division of responsibilities between UN agencies, including the Office of the United Nations High Commissioner for Refugees (UNHCR), the International Organisation for Migration (IOM) and the International Labour Organisation (ILO). Existing supranational consultative forums in the area of migration can also be expected to gain in political significance. What is required from the development perspective is a normative and institutional reordering of global migration policy - a process the German government should promote and contribute to. (author's abstract