Fiscal stabilizations: When do they work and why

This paper studies the determinants and channels through which fiscal contractions influence the dynamics of the debt-to-GDP ratio and GDP growth. Using data from a panel of OECD countries, the paper shows that the success of fiscal adjustments in decreasing the debt-to-GDP ratio depends on the size of the fiscal contraction and less on its composition. The rate of growth of output matters too, but higher GDP growth does not drive the success of a fiscal stabilization. In contrast, whether a fiscal adjustment is expansionary depends largely on the composition of the fiscal maneuvre. In particular, stabilizations implemented by cutting public spending lead to higher GDP growth rates. The effects of the composition on growth work mostly through the labor market rather than through agents’ expectations of future fiscal policy. Finally, the evidence suggests that successful and expansionary fiscal contractions are not the result of accompanying expansionary monetary policy or exchange rate devaluations.     

Decomposing productivity patterns in a conditional convergence framework

In this study we examine regional data on per worker GDP, disaggregated at sectoral level, by focusing our interest on the role of differences in the sectoral composition of activities, and in productivity gaps that are uniform across sectors, in explaining the catching-up process, which is realized through physical and human capital as well as technological knowledge accumulation. Our objective is to investigate how much of the interregional inequality in aggregate productivity per worker is imputable to each component. A methodology for identifying and analyzing sources of inequality from a decomposed perspective is developed in the growth framework by combining a shift-share based technique and a SUR model specification for the conditional-convergence analysis. The proposed approach is employed to analyze aggregate interregional inequality of per worker productivity levels in Italy over the period 1970–2000. With respect to the existing empirical results, our approach provides a more comprehensive and detailed examination of the contribution of each identified component in explaining the regional productivity gaps in Italy. It is argued that region-specific productivity differentials, uniform across sectors, explain a quite large share of differences in productivity per worker. However, sectoral composition plays a non negligible role, although decreasing since the end of 1980s, and very different productivity patterns emerge within geographical areas.

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.     

Exploring professionals' motivation to lead: a cross-level study in the healthcare sector

The extant leadership research has paid increasing attention to the concept of motivation to lead (MTL) as an individual construct that strongly affects leadership processes and behaviors. However, despite its importance, scant knowledge is available about how individual characteristics and organizational structural features interact in influencing MTL in professional-based organizations. This article contributes to this line of research by adopting a multilevel perspective to study the MTL among individual professionals in the healthcare sector. We collected data from a sample of 791 physicians nested in 44 departments belonging to 27 hospitals. Using the hierarchical linear model, we tested the impact of individual and organizational variables on the motivation of physicians to engage in managerial positions. Our findings demonstrate that the physicians' MTL was positively associated with their individual self-efficacy. Departmental decentralization interacted with this self-efficacy, such that the effect of self-efficacy on the MTL was significantly lower when decentralization was high. We discuss the implications of these findings for human resource management and organizational (re)design within professional organizations.     

Are EU trade preferences really effective? An impact evaluation assessment of the Southern Mediterranean Countries’ case

This work assesses the causal impact of the EU trade preferences granted to the Southern Mediterranean Countries (SMCs) in agriculture and fishery products over the period 2004–2014. It overcomes some of the weaknesses of previous assessments and presents several methodological improvements. Firstly, it relies on a continuous treatment – i.e. preferential margins – to capture the ‘average treatment effect’ of trade preferences, rather than on a binary treatment based on dummy variables. Secondly, it uses highly disaggregated data at sectoral level in order to evaluate properly the preferential treatment. Thirdly, it applies a non-parametric matching technique for continuous treatment – specifically, a generalized propensity score matching. The results show, on the one hand, that the impact of the EU preferences is positive and significant on SMCs trade and is better evaluated using impact evaluation techniques. On the other hand, they demonstrate that the relationship between preferences and trade flows is asymmetric and warn against the risk of providing too much of a good thing. These results raise important issues for policy-making. First, they demonstrate that raising the level of preferences is not the solution to foster the SMCs trade towards EU. Second, that the policy-makers should put more emphasis on complementary factors other than trade barriers.     

Labour Migration,Food Expenditure,and Household Food Security in Eastern Indonesia

This paper investigates the impact of migration on the food expenditure and household food security status of migrant‐sending households using data from eastern Indonesia. We find that migration significantly increases food expenditure and overall household expenditure. Combining the food frequency and food consumption module of the Indonesia Family Life Survey (East), this paper shows that having at least one migrant in the family increases the composite index of Food Consumption Score, as well as the family's food security. Evaluation of food diversity also shows that migration increases expenditure on six out of ten food groups.     

The entrepreneurial motivation in academia: a multidimensional construct

In this paper we propose a model to analyse the motivation of academic entrepreneurs that comprises six dimensions: personal, relating to the entrepreneurial opportunity, to scientific knowledge, to the availability of resources, to the incubator organization, and to the social environment. The model is tested based on information from a survey administered to 152 Spanish academic entrepreneurs. Our results show that entrepreneurial opportunity is not part of the entrepreneurial motivation, but is of the utmost importance to academic entrepreneurs. Also, we find the scientific knowledge is the main driver of entrepreneurial activity in the academia.     

Modeling node heterogeneity in latent space models for multidimensional networks

Multidimensional network data can have different levels of complexity, as nodes may be characterized by heterogeneous individual-specific features, which may vary across the networks. This article introduces a class of models for multidimensional network data, where different levels of heterogeneity within and between networks can be considered. The proposed framework is developed in the family of latent space models, and it aims to distinguish symmetric relations between the nodes and node-specific features. Model parameters are estimated via a Markov Chain Monte Carlo algorithm. Simulated data and an application to a real example, on fruits import/export data, are used to illustrate and comment on the performance of the proposed models.     

The Governance of Networks and Economic Power: The Nature and Impact of Subcontracting Relationships

Abstract.  Current debate on networking focuses on network structures and firm strategies. In this perspective, theoretical analysis has been concerned with allocative issues. This essay proposes a different interpretation. Starting from the existing theoretical framework, we emphasise the nature and the implications of different types of networks with respect to socio‐economic development from a distributional point of view. Within this context, we develop the analysis of subcontracting starting from the concept of economic power. We then provide an analysis of governance in production by considering the attitudes and the nature of the actors involved. The externalisation of activities by large transnationals, which characterises current corporate restructuring, is often related to the search for greater flexibility, but also for greater power over governments, labour, and subcontractors. Differently, networks based on the mutual dependence of actors, which are not necessarily built around a large firm, could – under particular conditions – reach large production scales or more complex scopes without breaking the links with territorial systems, thus including local objectives in the strategic decision‐making process. Our conclusion is that the impact of subcontracting networks varies enormously. This is crucial to an understanding of future trends and possibilities. Not least, firms and public policy agencies need to understand the implications of different forms of subcontracting network and how those forms actually differ in practice.