Why Do Some Multinational Firms Respond Better Than Others to the Hostility of Host Governments? Proximal Embedding and the Side Effects of Local Partnerships

Using a multiple-case study of alleged expropriations reported before the World Bank, we examine how multinational companies (MNC) react to the escalating hostility of host governments. Our study reveals how different choices regarding the interaction with local nonmarket stakeholders – which we refer to as proximal vs. mediated embedding – shape how managers respond to these disputes by affecting their ability to collect, process and interpret information, and to act upon it in a way that effectively mobilizes local and international support. In contrast to the prevailing view that local partners in international joint ventures shelter MNCs from abuse from political authorities, our findings show that primary reliance on local partners to manage the local nonmarket environment can actually reinforce a liability of outsidership and even create a ‘liability of insidership’, to the extent that relying on local partners prevents the MNC from establishing quality connections with a broad range of nonmarket stakeholders, reducing its alertness and responsiveness to hostile acts from host governments.     

Labor productivity and vocational training: evidence from Europe

In this paper we show that vocational training is an important determinant of productivity growth. We construct a multy-country, multi-sectoral dataset, and quantify empirically to what extent vocational training has contributed to increase the growth rate of labor productivity in Europe between 1999 and 2005. We find that one extra hour of training per employee accelerates the rate of productivity growth by around 0.55 % points.     

Linking learning with governance in networks and clusters: key issues for analysis and policy

In this paper we analyse the relationship between governance and learning in clusters and networks. In particular, we see these two key elements as interdependent, suggesting that, under particular circumstances, such interdependence may drive clusters and networks towards a dynamic development trajectory. A pure ‘governance perspective’ makes the development of any locality dependent on the system of powers which exists within the locality or across the global value chain. In parallel, a pure ‘competence-based approach’ focuses mainly on the capabilities of actors to learn and undertake activities. In contrast, we open the prospects for an interdependent relation that may change the actual competences of actors as well as the governance settings and dynamics in networks and clusters. When supported by public policies, the learning process may have the potential to modify the governance environment. Simultaneously, the learning process is intrinsically influenced by economic power, which may seriously affect the development prospects of clusters and networks. This is why an intertwined consideration of both aspects is necessary to promote specific approaches to learning and to design appropriate policies. In this paper we offer two preliminary case studies to clarify some of these dynamics: the first taken from the computers cluster in Costa Rica and the second from an Italian bio-pharmaceutical firm and its production network. The first case study refers to the software cluster that was created from scratch in Costa Rica thanks to an enlightened government policy in coordination with new local enterprises and an important foreign direct investor; while the second reflects on the ability of an individual company to create a network of relationships with large transnational companies in order to acquire new competences without falling into a subordinate position with respect to its larger partners.     

A revised version of the Cathcart & El-Jahel model and its application to CDS market

Decisions in Economics and Finance - The paper considers the pricing of credit default swaps (CDSs) using a revised version of the credit risk model proposed in Cathcart and El-Jahel (2003)....     

The effect of a Durbin–Watson pretest on confidence intervals in regression

Consider a linear regression model and suppose that our aim is to find a confidence interval for a specified linear combination of the regression parameters. In practice, it is common to perform a Durbin–Watson pretest of the null hypothesis of zero first‐order autocorrelation of the random errors against the alternative hypothesis of positive first‐order autocorrelation. If this null hypothesis is accepted then the confidence interval centered on the ordinary least squares estimator is used; otherwise the confidence interval centered on the feasible generalized least squares estimator is used. For any given design matrix and parameter of interest, we compare the confidence interval resulting from this two‐stage procedure and the confidence interval that is always centered on the feasible generalized least squares estimator, as follows. First, we compare the coverage probability functions of these confidence intervals. Second, we compute the scaled expected length of the confidence interval resulting from the two‐stage procedure, where the scaling is with respect to the expected length of the confidence interval centered on the feasible generalized least squares estimator, with the same minimum coverage probability. These comparisons are used to choose the better confidence interval, prior to any examination of the observed response vector.     

Appropriate technology in a Solovian nonlinear growth model

We propose a Solovian growth model with a convex–concaveproduction function and international technological spillovers.We test the empirical implications of the model, analysing theeffects of the productivity slowdown that followed the oil shocksof the 1970s. We argue that this slowdown, altering the worldincome distribution, affected the pattern of international technologicalspillovers, taking the poorest countries further away from thetechnological leaders, and therefore unable to exploit theirtechnologies. The result is the emergence of a poverty trapfor low-income countries.     

Which shape fits best? Designing the organizational form of local government procurement

The way that public procurement activities are organized has an impact on the performance of public institutions. By reviewing the literature on public procurement organization dimensions this study offers a conceptual framework for public procurement organizational design, distinguishing between the macro, micro and process level dimensions. The framework is tested across the procurement departments of 15 local governments in Wales and Italy. We identify six alternative organizational configurations, differing in their level of centralization and their procurement status within the institution. Their suitability and potential for redesign depend on several internal and external contextual factors (goals, government decision, regulation, geographical environment) in line with the contingency view of organizational design.     

Growth,Normal Capacity Utilization and the Long-Run Saving Ratio: A Comment

In a recent paper Attilio Trezzini presents an explanation of the saving ratio that does not rely on normal capacity utilization positions. Trezzini instead focuses on the fluctuations of consumption and investment. But that very focus, I argue, requires a different kind of approach. Once the traditional theory of saving is discarded, the ‘indeterminacy’ of the saving ratio opens the way to an analysis of the evolution of consumption, and of how that evolution affects aggregate demand. The generation and evolution of autonomous demand are matters of obvious relevance to the classical Keynesian approach to the analysis of growth. The present comment takes James Duesenberry’s criticism of demand theory as the starting point for an examination of the evolving standard of consumption and autonomous (‘innovative’) investment, therefore addressing directly the investment–consumption relationship. There are of course a number of complicated questions involved and they have not yet been satisfactorily analysed. They are part of the necessary task of articulating a theory of consumption consistent with demand-led growth and forward-looking investment decisions.