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This concluding part reviews the actions of inhibitors to acidic, ammonical, organic, atmospheric and miscellaneous product corrosion on aluminium. The comprehensive reference list is also concluded.

Obwohl sich die Wissenschaft seit längerer Zeit mit dem Fremdenverkehr befasst, sind dessen makroökonomischen Zusammenhänge bis heute nur rudimentär behandelt worden. Vor allem auf regionaler Ebene stellen nur wenige Studien den Fremdenverkehr in den makroökonomischen Rahmen. Dies mag zum Teil am Mangel an zuverlässigen regionalen Daten liegen, zum Teil daran, dass der Fremdenverkehr nur in wenigen Regionen Dimensionen annimmt, die ihn zum treibenden Wirtschafts‐sektor machen.

This paper investigates the determinants of the capital structure of large corporations headquartered in the United States and Korea. We consider five explanatory variables: profit, company size, non‐debt tax shields, growth, and business‐risk, along with several industry indicator variables as independent variables and examine, for each country, the relationship to market value based leverage ratio. With our rigid criteria for inclusion in the study, we study the top thirteen companies (by size) in each of seven industries. The majority of our findings indicate that we can generalize to Korea what has been found for Japanese companies/industries relative to the U.S.

Introduces a special issue on globalization and the welfare state. Asserts that economic globalization constrains national economic and social policy far more now than ever before, although the level of international trade has not increased that much compared to levels at the beginning of this century. Talks about the political consequences of economic globalization, particularly welfare state retrenchment in the advanced capitalist world. Outlines the papers included in this issue – comparing welfare system changes in Sweden, the UK and the USA; urban bias in state policy‐making in Mexico; and the developing of the Israeli welfare state. Concludes that economic globalization has a limited effect in shaping social welfare policy in advanced capitalist countries; nevertheless, recommends further research into which aspects of economic globalization shape social welfare policy.

With the rising concern of safety, health and environmental performance, eco-labeled product and service are becoming more and more popular. However, the long and complex process of eco-labeling sometimes demotivates manufacturers and service providers to be certificated. The purpose of this paper is to propose a decision support platform aiming at further improvement and acceleration of the eco-labeling process in order to democratize a broader application and certification of eco-labels, also to consolidate the credibility and validity of eco-labels.

This decision support platform is based on a comprehensive knowledge base composed of various domain ontologies that are constructed according to an official eco-label criteria documentation.

Through standard Resource Description Framework and Web Ontology Language ontology query interface, the assets of the decision support platform will stimulate domain knowledge sharing and can be applied into other applications. A case study of laundry detergent eco-labeling process is also presented in this paper.

The authors present a reasoning methodology based on inference with Semantic Web Rule Language (SWRL) rules which allows decision making with explanation.

Delves into history to find out if sociological knowledge can be applied successfully to policy making. Explains that society is based on the use of multiple knowledge structures and belief systems. Cites examples of centres which were set up in the USA to improve understanding and knowledge in a specific area, which could then contribute towards policy making and, ultimately, improved practice. Discusses the application of knowledge at various points in history, indicating that ruling elites are not motivated by knowledge (intellect) but by sentiment, and that this is still the case today. Refers to various literary works on sociological practice. Advocates that modern social research should be driven by policy issues and that sociologists should seize the opportunity, presented by decentralization, to become policy makers in their own communities.

This chapter extends the work of Baltagi, Bresson, Chaturvedi, and Lacroix (2018) to the popular dynamic panel data model. The authors investigate the robustness of Bayesian panel data models to possible misspecification of the prior distribution. The proposed robust Bayesian approach departs from the standard Bayesian framework in two ways. First, the authors consider the ε-contamination class of prior distributions for the model parameters as well as for the individual effects. Second, both the base elicited priors and the ε-contamination priors use Zellner’s (1986) g-priors for the variance–covariance matrices. The authors propose a general “toolbox” for a wide range of specifications which includes the dynamic panel model with random effects, with cross-correlated effects à la Chamberlain, for the Hausman–Taylor world and for dynamic panel data models with homogeneous/heterogeneous slopes and cross-sectional dependence. Using a Monte Carlo simulation study, the authors compare the finite sample properties of the proposed estimator to those of standard classical estimators. The chapter contributes to the dynamic panel data literature by proposing a general robust Bayesian framework which encompasses the conventional frequentist specifications and their associated estimation methods as special cases.

Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.

In this chapter, we consider the possibility that a firm may use costly resources to improve its technical efficiency. Results from static analyses imply that technical efficiency is determined by the configuration of factor prices. A dynamic model of the firm is developed under the assumption that managerial skill contributes to technical efficiency. Dynamic analysis shows that the firm can never be technically efficient if it maximizes profits, the steady state is always inefficient, and it is locally stable. In terms of empirical analysis, we show how likelihood-based methods can be used to uncover, in a semi-non-parametric manner, important features of the inefficiency-management relationship using a flexible functional form accounting for the endogeneity of inputs in a production function. Managerial compensation can also be identified and estimated using the new techniques. The new empirical methodology is applied in a data set previously analyzed by Bloom and van Reenen (2007) on managerial practices of manufacturing firms in the UK, US, France and Germany.