Placing Borders in Development

Development is inextricably related to the state-centred cartography of world spaces defined by borders, both in its historical trajectory and contemporary entanglements. Yet the multiplicity of channels and directions characterising their articulation are scarcely explored. This article contributes to this emerging field of enquiry. It delineates the essential traits of the borders and development nexus by establishing a systematic dialogue between the fields of Border Studies and Development Studies, a dialogue framed by concerns with scalar politics. More specifically, the paper places borders in development in two ways. First, it places borders in Development Studies: it identifies borders as a useful analytical vantage point that lay at the intersection between state- and non-state centred geographies of development. Second, it places Border Studies in development: focusing on the tension between borders and bordering processes, it interrogates economic growth- and poverty-related policies. Three contributions to the study of development arising from placing borders in development in this way are highlighted. The paper also expands the emerging field of enquiry concerned with the relation between borders and development, by considering development policies not yet been examined through the prism of borders, and by emphasising the hierarchical and yet unpredictable nature of the borders and development articulation. At its broadest, the discussion dis-entangles the multiplicity of scales and directions in which borders, bordering and the development process intersect. It is at this scalar intersection that the force of development, and the potentials for engaging, opposing, avoiding, or subverting it, lay.     

Multiple equilibria and global indeterminacy in an endogenous growth model with congestible public goods

This paper extends the findings in Chen and Lee (2007) to show that the use of congestible public goods can produce both local and global indeterminacy in a two‐sector endogenous growth model with productive public services financed by income taxation. Basically, we observe the effects on growth rates by changing parameters, and compare the case of a single steady‐state with the emergence of dual steady‐states, identifying the feasible ways to avoid a possible low‐growth poverty trap. The novelty of our analysis is to detect the presence of global indeterminacy by making use of the Bogdanov‐Takens bifurcation theorem. Some examples are also provided to achieve concrete policy implications.     

Identity Bias in Negative Word of Mouth Following Irresponsible Corporate Behavior: A Research Model and Moderating Effects

Current research has documented how cases of irresponsible corporate behavior generate negative reactions from consumers and other stakeholders. Existing research, however, has not examined empirically whether the characteristics of the victims of corporate malfeasance contribute to shaping individual reactions. This study examines, through four experimental surveys, the role played by the national identity of the people affected on consumers’ intentions to spread negative word of mouth (WOM). It is shown that national identity influences individual reactions indirectly; mediated by perceived similarity and sympathy. Consumers perceive foreign victims as different from the self and this reduces the sympathy experienced towards them. Sympathy is an emotion that shapes consumer reactions and regulates WOM. The study identifies two moderating processes of this effect. Individuals who score high on collective narcissism are most likely to be strongly biased against foreign victims. In-group bias is also moderated by the perceived severity of the crisis. When a case is perceived as very serious, perceived similarity plays a less important role in generating sympathy because consumers focus on the perceived suffering of the victims. Hence, in-group bias is stronger in cases perceived as having minor consequences. The paper contributes to the literature on corporate social irresponsibility and offers implications for both scholars and managers.     

Measuring and forecasting regional environmental and economic efficiency in Italy

Environmental and economic efficiency has being receiving growing attention among researchers. In general terms, this concept is related to the capability of the economic systems to employ natural resources efficiently, so as to increase economic and human wealth. This clearly implies that both the economic and ecological aspects of decisions ought to be considered. Bearing this in mind, this article considers economic and ecological performance together, by applying data envelopment analysis and the Malmquist productivity index to investigate the efficiency of the 20 Italian regions from 2004 to 2011. The results reveal that the northern regions have been more efficient than the southern ones, highlighting the strong geographical differences between the two. Furthermore, this article uses the grey system theory to forecast regional, economic and environmental efficiency. The results of the forecasting analysis show that the north–south duality remains strong and will possibly increase since the regions in the south get worse in term of environmental and economic efficiency.     

Trust,risk and time preferences: evidence from survey data

The paper shows that time preferences and risk preferences are key covariates of self-reported trust. They both predict negatively a measure of generalized trust; however, risk aversion is positively correlated with an index of particularized trusting behaviour (which refers to the circle of known people).     

Eco‐labelling by a for‐profit certifier: Countervailing power and its consequences

For‐profit certifier's eco‐labelling is common in industries where firms have some “countervailing power” on sharing gains from labelling. We show that the certification standard for an environmental quality is lowered when firms have strong “power.” A certifier with too low bargaining power will prefer to sell to the best offer rather than bargain. This switch in the selling mechanism also thwarts his incentives in setting the standard. This is consequential for evaluating policies. The dimensions and even signs of welfare changes induced by taxes and subsidies depend upon the mechanism used, and ultimately upon firms’ countervailing power.     

Productivity,innovation strategies and industrial relations in SMEs. Empirical evidence for a local production system in northern Italy

The paper aims to provide an original contribution to evaluating several kinds of relations between four areas of innovation activities – training, technology, organization, ICT (information and communication technologies) – and industrial relations and firm’s economic performance. Quantitative evidence for a SME‐based local production system is provided by exploiting two datasets: the first is derived from a direct survey carried out in 2005 collecting data on innovations, labour flexibility and industrial relations; the second is represented by a panel of official balance sheets data for the period 1998–2004. The analysis is divided in two consequential parts. We first examine the drivers of different innovation strategies and subsequently we exploit innovation indicators as potential drivers of firm’s productivity. The results show that training activities and organizational changes have strong links with many industrial relations indicators, thus emerging as industrial relations driven innovations. On the contrary, ICT and technological innovation seem to be more influenced by firms’ past performances than by industrial relations. The analysis on labour productivity drivers shows that training activities are the most relevant factors; then, ranked consequently, technological innovation, organisational innovations and, finally, ICT also appear to impact on productivity levels. It is worth noting that the role of ICT emerges more robustly when endogeneity is specifically addressed. Finally, the role of firm size seems here to be overshadowed by other drivers.     

Regression density estimation using smooth adaptive Gaussian mixtures

We model a regression density flexibly so that at each value of the covariates the density is a mixture of normals with the means, variances and mixture probabilities of the components changing smoothly as a function of the covariates. The model extends the existing models in two important ways. First, the components are allowed to be heteroscedastic regressions as the standard model with homoscedastic regressions can give a poor fit to heteroscedastic data, especially when the number of covariates is large. Furthermore, we typically need fewer components, which makes it easier to interpret the model and speeds up the computation. The second main extension is to introduce a novel variable selection prior into all the components of the model. The variable selection prior acts as a self-adjusting mechanism that prevents overfitting and makes it feasible to fit flexible high-dimensional surfaces. We use Bayesian inference and Markov Chain Monte Carlo methods to estimate the model. Simulated and real examples are used to show that the full generality of our model is required to fit a large class of densities, but also that special cases of the general model are interesting models for economic data.     

The economic impact of digital technologies in Europe

This paper analyses the economic impact of digital technologies in Europe distinguishing between different stages/domains of the digitalization process. A set of composite Information and Communication Technologies (ICT) indicators is used for capturing the access to ICTs, the ability to use them and the digital empowerment of individuals in key social and economic domains. We argue that the mere accessibility to ICT facilities is only a pre-condition for moving towards a digitalized society, while the ‘level’ and the ‘quality’ in the use of these technologies, as well as the conditions facilitating or hampering digital empowerment, play a much more important role. Several transmission mechanisms from ICT access, usage and digital empowerment to key macro-economic variables (namely labour productivity, gross domestic product per capita, employment growth and the employment rate) are identified. The econometric evidence supports our hypotheses showing that the usage of ICT, and mostly digital empowerment, exert the major economic effects, especially on employment also favouring the inclusion of ‘disadvantaged’ groups in the labour market. We conclude that digitalization may drive productivity and employment growth and that inclusive policies may effectively contribute to bridge the gap between the most favoured and the disadvantaged parts of the population, thus helping in achieving the 2020 Europe targets.