Chiara M. Travisi

Comparing Tax and Tax Reallocations Payments in Financing Rail Noise Abatement Programs: Results from a CE Valuation Study in Italy

The paper examines the use of stated choice experiments (SC) to assess the economic value of alternative rail noise reduction interventions on the Brennero railway in Italy. The paper formally tests the econometric robustness of the SC estimates under three payment regimes: (a) a regional tax, where consumers must trade off welfare gains due to noise reduction for part of their income; (b) a transport tax reallocation scheme, where consumers must trade off a part of the tax payments that are currently spent on the public transport sector; and (c) an administration tax reallocation scheme, where consumers must trade off a part of the tax payments that are currently spent on the administration sector. The test results are varied. On the one hand, the SC estimates are found to be statistically different for the tax reallocation and the tax introduction regimes. This confirms previous valuation research results, and thus reiterates the hypothesis that states the inequality between marginal values of private income and public money. On the other hand, the SC estimates are not found to be statistically different for the two proposed tax reallocation regimes, suggesting that, in the case study investigated here, the marginal value of public money does not depend upon the budget source.

Economic Valuation of Forest Ecosystem Services: Methodology and Monetary Estimates

By using ad hoc value transfer protocols, this paper offers a methodological contribution and provides accurate per hectare estimates of the economic value of some selected ecosystem services for all forest biomes in the world, identified following the Millennium Ecosystem Assessment taxonomy MEA. The research also estimates potential total economic losses from policy inaction in year 2050. Final results show that total losses are significant. The total figure is €78 billion, the greatest losses coming from North America and Mexico, followed by Africa, Russia and some Asiatic countries. Most of this loss is attributable to provisioning services and carbon sequestration, while only a minor part is due to loss of cultural services. In terms of biomes the greatest losses are from boreal and warm mixed forests, followed by tropical forests. These results may be surprising to some who argue that it is the loss of tropical forests, particularly the Amazon, that is the most significant. A detailed analysis, shows, however, that this is not the case. The best estimates point to greater losses in areas where use and non-use values are highest, which includes North America.

Analysis of Environmental Costs of Mobility due to Urban Sprawl - A Modelling Study on Italian Cities

A sound empirical and quantitative analysis on the relationship between different patterns of urban expansion and the environmental or social costs of mobility is rare, and the few studies available provide at best a qualitative discussion of these issues. Some recent tentative studies on the metropolitan area of Milan have empirically explored whether different patterns of urban expansion generate different levels of land use and heterogeneous impacts of urban mobility. The results confirmed the expectation that a higher environmental impact of mobility may result from more extensive and sprawling urban development, from recent urbanisation processes and from residential specialisation. The present paper extends the previous empirical analysis to seven major Italian metropolitan areas (namely, Bari, Florence, Naples, Padua, Perugia, Potenza and Turin) in order to corroborate the previous tentative results for the Italian context. The novelty of the present paper is threefold. First, we are interested in exploring the changes that have occurred due to the increased intensity of mobility across a ten-year period, from 1981 to 1991, which corresponds to the Italian economic boom years. Secondly, using an econometric analysis of cross-section data, we consider several metropolitan areas simultaneously, and are therefore able to explore whether there are significant differences in the way the model explains variations in the mobility impact across various Italian urban areas. And finally, we offer a structural interpretation of the causal chain in the explanation of the mobility impact intensity by using Causal Path Analysis as a statistical test framework.

Sustainability of Urban Sprawl: Environmental-Economic Indicators for the Analysis of Mobility Impact in Italy

Sound empirical and quantitative analysis on the relationship between different patterns of urban expansion and environmental or social costs of mobility are still very rare in Europe and the few studies available provide only a qualitative discussion on this. Recently, Camagni et al. (2002) have performed an empirical analysis on the metropolitan area of Milan, aimed at establishing whether different patterns of urban expansion generate different levels of land consumption and heterogeneous impacts of urban mobility. Results confirm the expectation that higher environmental impact of mobility is associated with more extensive and sprawling urban development, more recent urbanisation processes and residential specialisation. The present paper enlarges further the empirical analysis to seven Italian metropolitan areas (namely, Bari, Florence, Naples, Padua, Perugia, Potenza and Turin) to corroborate previous results for the Italian context. The novelty of the present paper is threefold. Firstly, we are interested in exploring the changes occurred to the intensity of the mobility impact across a ten-year period, from 1981 to 1991, corresponding to the Italian economic boom years. Secondly, using an econometric analysis in cross-section, we consider several metropolitan areas at once, being therefore able to explore whether there are significant differences in the way the model explains variations in the mobility impact across various Italian urban areas. Finally, we propose a conceptual interpretation of the causal chain in the explanation of the mobility impact intensity and we test it using Causal Path Analysis.

Managing environmental risk in agriculture: a systematic perspective on the potential of quantitative policy-oriented risk valuation

This article seeks to offer a systematic overview of methods and techniques for valuing environmental quality degradation, with a particular view to the management of agricultural risk, against the background of policy relevance. The article argues that modern valuation methods from ecological economics can play an important role in advancing transparent policy decisions, but at the same time the article also warns against unjustified optimism. Consequently, also a systematic review of various caveats in evaluation methods is offered.

Managing Pesticide Risks for Non-Target Ecosystems with Pesticide Risk Indicators

In the search for effective pesticide risk management tools, the design of pesticide risk indicators is nowadays receiving increasing attention as a complement to more established regulatory strategies. In the present paper, we apply some recently developed pesticide risk indices and test their potential for management purposes. A pilot approach is proposed, which explores pesticide worst-case hazard scenarios at different space-time scales by means of a set of 5 ecotoxicological risk indices. The results are then interpreted from the perspective of a decision support method using the so-called Critical Threshold Value approach. Our risk analysis is then enriched within a multicriteria framework which integrates environmental, agronomic and economic objectives.