Project Management of Production Line Automation: A Comparative Analysis of Project Management in Brazil and Colombia

This article aims to evaluate the production line automation projects developed by Brazilian and Colombian companies from the Project Management perspective, through the analysis of the application degree of PMBOK processes, to understand how formal techniques are being employed in these countries and also to identify improvement opportunities, when necessary. Data were collected through a survey. The similarity index between the ten processes, with the highest application degree in the Brazilian and Colombian samples, was 70%. For the processes with the lowest application degree, the similarity index was 60%. No similar study was found in the literature.     

The Finance–Growth Link in Latin America

This paper analyzes the relationship between financial development and economic growth in Latin America with a Granger causality test and impulse response functions in a panel vector autoregression (VAR) model. With annual observations from a sample of 18 countries from 1962 to 2005, it is shown that while economic growth causes financial development, financial development does not cause economic growth. This finding is robust to different model specifications and different financial indicators. Interestingly, when the sample is divided according to different income levels and institutional quality, there is two‐way causality between financial development and economic growth only for the middle income group and for countries with stronger rule of law and creditor rights. The impulse response functions show that a shock to financial development has a positive impact on economic growth only for these subsamples, but the net effect of financial development on growth is relatively small.     

The effect of violent crime on sector-specific FDI in Latin America

ABSTRACT

This article looks at the impact of violent crime on FDI into Latin America and the Caribbean during the 1996–2010 period. FDI is disaggregated into primary, secondary and tertiary sectors and three variables related to violent crime are used: homicides, crime victimization and organized crime. Controlling for institutions and the traditional determinants of FDI, we find that the impact of crime on FDI depends on the sector and types of crime considered. Higher homicide rates are associated with less FDI in the secondary sector while organized crime reduces tertiary sector FDI. Crime victimization has a robust significant negative impact on the tertiary sector and in some estimations of the secondary sector. Crime has no impact on primary sector FDI. Our study highlights the need to continue efforts to decrease crime as we show in our analysis that crime has a negative effect on FDI in the secondary and tertiary sector.     

Geographical Indications and the Competitive Provision of Quality in Agricultural Markets

The economics of geographical indications (GIs) is assessed within a vertical product differentiation framework that is consistent with the competitive structure of agriculture. It is assumed that certification costs are needed for GIs to serve as (collective) credible quality certification devices, and production of high-quality product is endogenously determined. We find that GIs can support a competitive provision of quality and lead to clear welfare gains, although they fall short of delivering the (constrained) first best. The main beneficiaries are consumers. Producers may also accrue some benefit if production of the high-quality products draws on scarce factors that they own.     

Relationships among functional units and new product performance: The moderating effect of technological turbulence

Though there has been plenty of research into new product success factors, only a few studies have tried to analyse whether these factors are important in different settings. In this study, we propose and test a model that links physical proximity among functional units, presence of product champions, cross-functional harmony, and new product program performance. The moderating effects of perceived technological turbulence on relationships between new product performance and its antecedents are also tested. Our results, obtained from 151 managers working for Spanish firms with a R&D department, confirm the different impact of these factors on the three measures of performance considered and also on two groups of organizations, the ones that perceive high technological turbulence and the ones that perceive low technological turbulence.     

Climate change and its marginalizing effect on agriculture

The agriculture of some areas considered marginal in the EU agricultural context is being questioned due to its low productivity and growing dependence on economic aid programs Common Agricultural Policy (CAP). This study shows that climate change increases these areas marginalisation of since worsens crop growth conditions. The influence of climate change on the agricultural sector is analyzed using the Multicriteria Decision Paradigm with information provided by the Erosion-Productivity Impact Calculator (EPIC) and a General Circulation Model (GCM) as inputs for multicriteria mathematical programming models. The results obtained show climate change effects on the crop portfolio. Further results suggest that climate change effects are not only economics and environmental, reducing the suitable area for crops, but also social as it causes loss of jobs in the agricultural sector.     

Raising the bar (11)

This editorial summarizes the papers published in issue 14(2) so as to raise the bar in applied spatial economic research and highlight new trends. The first paper deals with past and current challenges for regional science research. The second paper investigates whether people living in deprived neighbourhoods have less chance of succeeding in a job application. The third paper finds evidence that real estate firms can avoid price competition when market shares of their allies increase in the vicinity. The fourth paper is methodological: it considers a spatial autoregressive (SAR) model with heterogeneous coefficients and extensively analyzes the impact of this extension on the direct and indirect effects estimates. The fifth paper proposes an innovative method to estimate the elements of the spatial weight matrix in a spatial econometric model. The final paper is econometric–theoretical: it proposes a new generalized method of moments (GMM) estimator of the coefficients of a SAR model if the error terms are heteroskedastic of an unknown form.     

Spatial income and public capital: a case of a Spanish region

The objective of this paper is to analyse major determinants of disposable per capita income at a local municipality level for a territory of Spain: the Valencian region. A cross-sectional spatial study for an averaged period (2010–2013) will allow us to control for intraregional correlation, paying special attention to the role of real public investment and its possible effects on disposable personal income. A reference framework for economic and social policymakers will be provided by the specification of the model.