Sustainability and Urban Planning Processes. An Integrated Tool for Sustainable Urban Management.

In the last decades in Italy the debate on the urban planning crisis (Balducci, 1991; Urbani, 2000) had showed a shift from practices informed by politics and negotiation to new positions where planning methods are characterized by a communicative adaptive evaluation of a set of options about land uses and transformations. Within this framework the need emerged of new approaches to planning able to fulfil community expectations. In the light of recent developments in the economic sector and his branches, and primarily in business management, various tools for urban policy making have been recently adopted and implemented in many Italian local authorities: - Implementation of certificated systems for environmental management (Varese Ligure was first Italian municipality to obtain an ISO 14001 certification in 1999); - Use of control and evaluation systems like environmental and strategic plan design aiming at the integration of these practices in a single comprehensive tool, articulated within three phases (organizational, social accounting (18 municipalities have already test these tools and a bill is discussed for their insert in public authorities management); - Employment of participatory practices in the government of environmental problems (Local Agenda 21 processes is hitting an advanced level of implementation both in the municipal and in the provincial level especially in regions like the Emily and Romagna, the Marches, Tuscany, Liguria); - Use of means of communication addressed both to internal members of public authorities and to stakeholders and local community (for example environmental and social statements drawing up by local authorities or sustainability reports like that compiled within 21st Olympic Games organization). However, the analysis of many case-studies showed often the use of these tools it is not directly coordinated with urban planning instruments. In this paper the authors propose a tentative framework for a sustainable decisional and operative) cyclicly. The objective is, as far as these practices are promoted by main international and European agendas and declarations, to connect by this tool local government choices to most important policies on sustainable development.

Balanced Budget Government Spending in a Small Open Regional Economy

This paper investigates the impact of a balanced budget fiscal policy expansion in a regional context within a numerical dynamic general equilibrium model. We take Scotland as an example where, recently, there has been extensive debate on greater fiscal autonomy. In response to a balanced budget fiscal expansion the model suggests that: an increase in current government purchase in goods and services has negative multiplier effects only if the elasticity of substitution between private and public consumption is high enough to move downward the marginal utility of private consumers; public capital expenditure crowds in consumption and investment even with a high level of congestion; but crowding out effects might arise in the short-run if agents are myopic.regional computable general equilibrium analysis, fiscal federalism, fiscal policy.

Rebound Effects from Increased Efficiency in the Use of Energy by UK Households*

In this paper, we use CGE modelling techniques to identify the impact on energy use of an improvement in energy efficiency in the household sector. The main findings are that 1) when the price of energy is measured in natural units, the increase in efficiency yields only to a modification of tastes, changing as a result, the composition of household consumption; 2) when households internalize efficiency, the improvement in energy efficiency reduces the price of energy in efficiency units, providing a source of improved competitiveness as the nominal wage and the price level both fall; 3) the short-run rebound can be greater than the long run rebound if the household demand elasticity is the same for both time frames, however, the short run rebound is always lower than in the long-run if the demand for energy is relatively more elastic in the long-run; 4) the introduction of habit formation changes the composition of household consumption, modifying the magnitude of the household rebound only in the short-run. In this period, household and economy wide rebound are lowest for external habit formation and highest when consumers' preferences are defined using a conventional utility function.Energy efficiency; Rebound effects; Households energy consumption; CGE models.

An Attention Module for Object Detection in Cluttered Images

In this paper, we propose a visual attention module that automatically detects the regions of an input previously unseen image, which are more likely occupied by a known object. The module can be integrated in many object recognition systems for reducing the image space in which to search the object, and the computational costs. The strategy has been tested on two public real-world image databases showing good performances. Moreover, we measured the usefulness of this selective visual attention by comparing the performances of the SIFT recognition algorithm with and without the proposed attention module

Cell Cycle Control in Eukaryotes: a BioSpi model

This paper presents a stochastic model of the cell cycle control in eukaryotes. The framework used is based on stochastic process algebras for mobile systems. The automatic tool used in the simulation is the BioSpi. We compare our approach with classical ODE specications

Inferring rate coefficents of biochemical reactions from noisy data with KInfer

Dynamical models of inter- and intra-cellular processes contain the rate constants of the biochemical reactions. These kinetic parameters are often not accessible directly through experiments, but they can be inferred from time-resolved data. Time resolved data, that is, measurements of reactant concentration at series of time points, are usually affected by different types of error, whose source can be both experimental and biological. The noise in the input data makes the estimation of the model parameters a very difficult task, as if the inference method is not sufficiently robust to the noise, the resulting estimates are not reliable. Therefore "noise-robust" methods that estimate rate constants with the maximum precision and accuracy are needed. In this report we present the probabilistic generative model of parameter inference implemented by the software prototype KInfer and we show the ability of this tool of estimating the rate coefficients of models of biochemical network with a good accuracy even from very noisy input data

The external benefits of higher education

The private market benefits of education are widely studied at the micro level, although the magnitude of their macroeconomic impact is disputed. However, there are additional benefits of education, which are less well understood. In this paper the macroeconomic effects of external benefits of higher education are estimated using the “micro-to-macro” simulation approach. Two types of externalities are explored: technology spillovers and productivity spillovers in the labour market. These links are illustrated and the results suggest they could be very large. However, this is qualified by the dearth of microeconomic evidence, for which we hope to encourage further work

Computing von Kries Illuminant Changes by Piecewise Inversion of Cumulative Color Histograms

We present a linear algorithm for the computation of the illuminant change occurring between two color pictures of a scene. We model the light variations with the von Kries diagonal transform and we estimate it by minimizing a dissimilarity measure between the piecewise inversions of the cumulative color histograms of the considered images. We also propose a method for illuminant invariant image recognition based on our von Kries transform estimate

Long-term Social, Economic and Fiscal Effects of Immigration into the EU: The Role of the Integration Policy: JRC Working Papers in Economics and Finance, 2017/4

The issues of the forced migration and integration of refugees in the EU society and labour markets are high on the policy agenda. Apart from humanitarian aspects, a sustainable integration of accepted refugees is important also for social, economic, budgetary and other reasons. Although, the potential consequences of the refugee acceptance are being often discussed, little scientific evidence has been provided for the policy debate so far in the context of the current refugee crisis. The present study attempts to shed light on the long-run social, economic and budgetary effects of the rapidly increasing forced immigration into the EU by performing a scenario analysis of alternative refugee integration scenarios. Our simulation results suggest that, although the refugee integration (e.g. by the providing language and professional training) is costly for the public budget, in the medium- to long-run, the social, economic and fiscal benefits may significantly outweigh the short-run refugee integration costs. Depending on the integration policy scenario and policy financing method, the annual long-run GDP effect would be 0.2% to 1.4% above the baseline growth, and the full repayment of the integration policy investment (positive net present value) would be achieved after 9 to 19 years.JRC.B.3-Territorial Developmen

Forward Looking and Myopic Regional Computable General Equilibrium Models. How Significant is the Distinction?

We present a stylized intertemporal forward-looking model able that accommodates key regional economic features, an area where the literature is not well developed. The main difference, from the standard applications, is the role of saving and its implication for the balance of payments. Though maintaining dynamic forward-looking behaviour for agents, the rate of private saving is exogenously determined and so no neoclassical financial adjustment is needed. Also, we focus on the similarities and the differences between myopic and forward-looking models, highlighting the divergences among the main adjustment equations and the resulting simulation outcomes.Myopic and Forward-looking Behaviour, Computable General Equilibrium Models, Regional Adjustment.