Production structure and economic fluctuations

We aim at contributing to the debate on the mechanisms and properties of economic fluctuations. We consider a crucial aspect among many thought to influence this ubiquitous and extremely relevant phenomenon: the interaction structure that characterises the organisation of production, that is, the production relation among sectors of a system. We build — and simulate — a very simple model representing an input–output system where sectors/firms adapt production and desired levels of stocks. Their output serves both an exogenous final demand and the intermediate demand solicited by the other sectors of the system. Series of simulation runs allow to derive relevant and non–obvious conclusions concerning the levels and, more importantly, the volatility of economic activity, as an outcome of the same, inherent, economic structure. We claim that the results that we obtain through the highly abstract representation we use, provide useful intuitions on the working of economic cycles, to be later integrated by further studies. As a by–product of our analysis, we also suggest that the methodology we adopt can provide valuable insights by allowing a detailed analysis of the time path generated in the artificial systems, and there- fore assessing with precisions the same mechanisms that affect real–world systems. The natural following step, left for further research, is to investigate how those mechanisms are empirically generated

Production Structure and Economic Fluctuations

We aim at contributing to the debate on the mechanisms and properties of economic fluctuations. We consider a crucial aspect among many thought to influence this ubiquitous and extremely relevant phenomenon: the interaction structure that characterises the organisation of production, that is, the production relation among sectors of a system. We build — and simulate — a very simple model representing an input–output system where sectors/firms adapt production and desired levels of stocks. Their output serves both an exogenous final demand and the intermediate demand solicited by the other sectors of the system. Series of simulation runs allow to derive relevant and non–obvious conclusions concerning the levels and, more importantly, the volatility of economic activity, as an outcome of the same, inherent, economic structure. We claim that the results that we obtain through the highly abstract representation we use, provide useful intuitions on the working of economic cycles, to be later integrated by further studies. As a by–product of our analysis, we also suggest that the methodology we adopt can provide valuable insights by allowing a detailed analysis of the time path generated in the artificial systems, and therefore assessing with precisions the same mechanisms that affect real– world systems. The natural following step, left for further research, is to investigate how those mechanisms are empirically generated.Production structure, micro- and macro-volatility, simulation models

The role of technology, organisation, and demand in growth and income distribution

The paper proposes a model that explains cross-country growth divergences over time for different aspects of structural change. The model formalises the links between production technology, firm organisation (functional composition of employment) on the supply side and the endogenous evolution of income distribution and consumption patterns on the demand side. Wage distribution is the main channel between the organisation of firms and consumption patterns, and firm selection is the main trigger of investment in new capital, productivity gains and cumulative growth. The model is able to reproduce empirical stylised facts on growth and income inequality associated with different stages of growth. We use VARs to estimate the causal relations between the three aspects of structural change. We then analyse the effect of the parameters that define the structure of an economy – and the way in which this unfolds through time – on growth and income distribution via numerical simulation. Product variety, differences in consumption preferences, organisational complexity and production technology determine whether the economy experiences a take-off or a stagnating growth, and the associated distribution of income

Structural Change of Production and Consumption: A Micro to Macro Approach to Economic Growth and Income Distribution

The paper aims to analyse the effect of initial structural conditions in the organisation and composition of production and in demand patterns, via changes in wages distribution, as affecting economic growth and income inequality. We develop an evolutionary model with agent-based micro-foundations and analyse the link between structural change and growth taking into account (i) firm-level organisational differences and technological changes, (ii) their impact on the structure of earnings and income of workers-consumers, and (iii) the consequent changes in consumption. The model articulates the links between production and organisation structures on the supply side, and the endogenous evolution of income distribution on the demand side. Simplied scenarios are identified via numerical simulations, in which patterns of aggregate growth are obtained as an emerging property of different structures of firms' organisation and production, functional composition of employment, income distribution and patterns of consumption.Structural Change, Consumption, Earnings Distribution, Growth

Casi di studio di piattaforme partecipative on-line

In questo rapporto presentiamo i risultati di un lavoro di mappatura realizzato all’interno del progetto europeo SciCafe 2.0. Abbiamo raccolto 13 esempi di piattaforme di partecipazione on-line, descrivendole e commentandol

Evidence and knowledge use in a meta-policy: results from an Italian case study

The analysis of the case study was conducted by means of qualitative content analysis of documents and interviews of 14 stakeholders involved in the policy making processes. In-depth interviews to five policy makers were carried out, and the emerging elements were compared with the results of the content analysis of the policy documents.

Structural changes and growth regimes

We study the relation between income distribution and growth mediated by structural changes on the demand and supply side. Using results from a multi-sector growth model we compare two growth regimes which differ in three aspects: labour relations, competition, and consumption patterns. Regime one, similar to Fordism, is assumed to be relatively less unequal, more competitive, and with more homogeneous consumers than regime two, similar to post-Fordism. We analyse the parameters that define the two regimes to study the role of exogenous institutional features and endogenous structural features of the economy on output growth, income distribution, and their relation. We find that regime one exhibits significantly lower inequality, higher output and productivity, and lower unemployment than regime two. Both institutional and structural features explain these difference. Most prominent among the first group are wage differences, accompanied by capital income, and the distribution of bonuses to top managers. The concentration of production magnifies the effect of wage differences on income distribution and output growth, suggesting the relevance of the norms of competition. Among structural determinants, particularly relevant are firm organisation and the structure of demand. The way in which final demand distributes across sectors influences competition and overall market concentration. Particularly relevant is the demand of the least wealthy classes. We also show how institutional and structural determinants are tightly linked. Based on this link we conclude by discussing a number of policy implications emerging from our model

Organisation of industry and innovation dynamics

The paper aims at investigating how the organization of a certain industry evolves once the competition among its firms, producing a ‘com-plex’ (i.e. non-modular) product, is modeled as the intertwining of innovative search and organizational change. In order to take the full roster of participants into account, and to retain the inner complexity of their decisions, a Pseudo–NK model is built–up in which a population of firms is called to match a technological frontier. By evolving along different stages of the sector’s life-cycle, such a kind of technological calls for a trade–off between two strategies of cost–reduction through either outsourcing or technological search. Overall, the simulation results confirm previous literature as, for example, in the introductory stage of the industry life–cycle, marked by frequent and intense jumps of the technological frontier, firms need to vertically integrate in order to have higher chances to win the competition for a new standard. On the contrary, in the decline stage, in which the technological frontier almost stabilizes, deverticalization allows firms to better compete on costs. These results change if suppliers are allowed to innovate, as they are more likely to lock the market in sub–optimal configurations

Collective awareness platforms and digital social innovation mediating consensus seeking in problem situations

In this paper we show the results of our studies carried out in the framework of the European Project SciCafe2.0 in the area of Participatory Engagement models. We present a methodological approach built on participative engagements models and holistic framework for problem situation clarification and solution impacts assessment. Several online platforms for social engagement have been analysed to extract the main patterns of participative engagement. We present our own experiments through the SciCafe2.0 Platform and our insights from requirements elicitation

Coastal benthic habitat mapping and monitoring by integrating aerial and water surface low-cost drones

Accurate data on community structure is a priority issue in studying coastal habitats facing human pressures. The recent development of remote sensing tools has offered a ground-breaking way to collect ecological information at a very fine scale, especially using low-cost aerial photogrammetry. Although coastal mapping is carried out using Unmanned Aerial Vehicles (UAVs or drones), they can provide limited information regarding underwater benthic habitats. To achieve a precise characterisation of underwater habitat types and species assemblages, new imagery acquisition instruments become necessary to support accurate mapping programmes. Therefore, this study aims to evaluate an integrated approach based on Structure from Motion (SfM) photogrammetric acquisition using low-cost Unmanned Aerial (UAV) and Surface (USV) Vehicles to finely map shallow benthic communities, which determine the high complexity of coastal environments. The photogrammetric outputs, including both UAV-based high (sub-meter) and USV-based ultra-high (sub-centimetre) raster products such as orthophoto mosaics and Digital Surface Models (DSMs), were classified using Object-Based Image Analysis (OBIA) approach. The application of a supervised learning method based on Support Vector Machines (SVM) classification resulted in good overall classification accuracies > 70%, proving to be a practical and feasible tool for analysing both aerial and underwater ultra-high spatial resolution imagery. The detected seabed cover classes included above and below-water key coastal features of ecological interest such as seagrass beds, “banquettes” deposits and hard bottoms. Using USV-based imagery can considerably improve the identification of specific organisms with a critical role in benthic communities, such as photophilous macroalgal beds. We conclude that the integrated use of low-cost unmanned aerial and surface vehicles and GIS processing is an effective strategy for allowing fully remote detailed data on shallow water benthic communities