Innovation Economy,Productive Public Expenditure and Economic Growth

Multidisciplinary innovation is the main engine of growth for an increasing number of economies. Innovation requires the participation of and interaction between all economic agents. It also requires public spending on education, research and infrastructures. Our main goal is to emphasize the government's role in a growing innovation economy. Developing a non‐scale, idea‐based, one‐sector growth model with complementarities and productive public expenditure, we analyse theoretically the growth effects of an increase in productive public expenditure, which we find positive in the short, medium and long run.     

Opportunities to reduce road traffic injury: new insights from the study of urban areas

Abstract

Over the past four decades considerable efforts have been taken to mitigate the growing burden of road injury. With increasing urbanisation along with global mobility that demands not only safe but equitable, efficient and clean (reduced carbon footprint) transport, the responses to dealing with the burgeoning road traffic injury in low- and middle-income countries has become increasingly complex. In this paper, we apply unique methods to identify important strategies that could be implemented to reduce road traffic injury in the Asia-Pacific region; a region comprising large middle-income countries (China and India) that are currently in the throes of rapid motorisation. Using a convolutional neural network approach, we clustered countries containing a total of 1632 cities from around the world into groups based on urban characteristics related to road and public transport infrastructure. We then analysed 20 countries (containing 689 cities) from the Asia-Pacific region and assessed the global burden of disease attributed to road traffic injury and these various urban characteristics. This study demonstrates the utility of employing image recognition methods to discover new insights that afford urban and transport planning opportunities to mitigate road traffic injury at a regional and global scale.     

Estimating the Competitive Storage Model with Trending Commodity Prices

We present a method to estimate jointly the parameters of a standard commodity storage model and the parameters characterizing the trend in commodity prices. This procedure allows the influence of a possible trend to be removed without restricting the model specification, and allows model and trend selection based on statistical criteria. The trend is modeled deterministically using linear or cubic spline functions of time. The results show that storage models with trend are always preferred to models without trend. They yield more plausible estimates of the structural parameters, with storage costs and demand elasticities that are more consistent with the literature. They imply occasional stockouts, whereas without trend the estimated models predict no stockouts over the sample period for most commodities. Moreover, accounting for a trend in the estimation implies price moments closer to those observed in commodity prices. Our results support the empirical relevance of the speculative storage model, and show that storage model estimations should not neglect the possibility of long‐run price trends. Copyright © 2016 John Wiley & Sons, Ltd.     

‘Good when they want to be’: migrant workers in the supermarket supply chain

Despite the increased attention paid to the role and effects of migrant labour in the contemporary economy, there has been insufficient attention to the role of employers and the employment relationship. Recent studies have highlighted distinctive labour power characteristics of new labour migrants from Central and Eastern Europe that make them ‘good workers’ in the eyes of employers. Drawing on multiple case studies across the supermarket supply chain, this article explores what kind of human resource migrant labour is perceived to be, particularly by employers, and what happens in practice as the dynamic tensions of the employment relationship unfolds in particular sector contexts. It argues that utilisation is conditioned more by the requirements of temporal flexibility – framed by the dynamics of employment within the supply chain – than any essential features of migrant labour power.     

A STRUCTURAL RISK‐NEUTRAL MODEL FOR PRICING AND HEDGING POWER DERIVATIVES

We develop a structural risk‐neutral model for energy market modifying along several directions the approach introduced in Aïd et al. In particular, a scarcity function is introduced to allow important deviations of the spot price from the marginal fuel price, producing price spikes. We focus on pricing and hedging electricity derivatives. The hedging instruments are forward contracts on fuels and electricity. The presence of production capacities and electricity demand makes such a market incomplete. We follow a local risk minimization approach to price and hedge energy derivatives. Despite the richness of information included in the spot model, we obtain closed‐form formulae for futures prices and semiexplicit formulae for spread options and European options on electricity forward contracts. An analysis of the electricity price risk premium is provided showing the contribution of demand and capacity to the futures prices. We show that when far from delivery, electricity futures behave like a basket of futures on fuels.     

Unconventional Monetary Policy in the Eurozone: A Lack of Forward Guidance?

From July to December 2011, the three-month EURIBOR-OIS and EURIBOR-Repo spreads quadrupled and reached 100 basis points due to a stabilization of the EURIBOR and a decrease in the overnight index swap (OIS) and Repo. Using a specific monetary policy announcements and financial indicators database, we find that the European Central Bank’s (ECB’s) unconventional measures did not systematically have a calming effect: Asset buyout announcements decreased market strains, whereas interest rates and liquidity provision announcements did not. Moreover, liquidity provision seems to have a stressing effect. Our findings are consistent with the theoretical underpinnings according to which forward guidance crucially determines the effectiveness of unconventional monetary policies.     

Capital accumulation and ground-rent in Brazil: 1953–2008

The paper measures the size of primary-sector surpluses in the form of ground-rent appropriated by social subjects other than landowners in Brazil, and assesses their weight in supporting the process of capital accumulation during the period 1953–2008. For that purpose, the paper identifies the mechanisms through which state policies channelled a portion of ground-rent to capital, especially in the industrial sector, assessing their individual impact. The paper finds that transferred ground-rent has complemented surplus-value normally available for appropriation by capital and thus helped sustain its process of accumulation throughout most the period analysed here, including the post-1990 ‘neoliberal’ era.     

Book Reviews

The evaluative function of local public actors has been exacerbated in recent years with the individualisation of social policies. One of their tasks is to select the appropriate informational basis in order to assess welfare claimants. Amartya Sen's capability approach offers a theoretical and normative framework to analyse this evaluative function. In particular, it insists on the importance of “objectivating” people's preferences with reference to their capabilities. The weight that is to be attached to individual preferences in the course of public action can be a matter of controversy. Claimants “capability for voice”, we argue, should be developed. This capability refers to their effective possibility to express their concerns with regard to the choice of the informational basis. It is argued that local institutions prohibiting capability for voice will produce adaptive preferences, whereas procedural institutions promoting reflexive public evaluation and capability for voice will result in a fairer wording of individual preferences. At a situated level, the way to connect subjective and objective information when assessing people very much depends on the position of the evaluator. Several illustrations show that the fairness of evaluation, and its impact on the people's capability set, depend on this positional perspective.     

Estimating the Heckscher–Ohlin model: Inverting the inverse matrix

This paper estimates the Heckscher–Ohlin model with annual US data from 1949 to 2006 for outputs of manufactures and services with inputs of fixed capital assets and the labor force. Difference equation and error correction regressions provide estimated coefficients for the comparative static system. Tariffs on manufactures primarily raise the capital return in the estimated Stolper–Samuelson results. Factor price equalization does not hold for labor and capital. Inverting the estimated system inverse matrix provides evidence on production. The suggestions are capital biased production of manufactures, strong substitution of capital for labor, and strong labor substitution in manufactures.