我国一般反避税规则的不足与完善

我国企业所得税法确立了一般反避税规则。这一反避税规则对有效打击避税行为具有重大意义。但是,我国的一般反避税规则还有诸多不完善之处,需要我们进一步改进和完善。本文简要分析了我国一般反避税规则在相关术语使用上的不一致性、自身较强的不确定性以及一般反避税调查程序中的不足,并提出了对一般反避税规则的改进。     

The evaluation of forest crop damages due to climate change. An application of Dempster–Shafer method

In order to assess damage risk caused by climate change in forest areas, Dempster–Shafer theory of evidence and fuzzy measures were applied to develop a framework for the estimation of economic forest damage. According to the definition of risk supported by the Intergovernmental Panel on Climate Change, a function of hazard and resilience lines of evidence was defined. The results of the hazard and resilience assessment were used to develop an economic framework based on Faustmann studies. The evaluation model, implemented through a spatial analysis procedure, was carried out linking Faustmann formula with hazard and resilience raster maps. The model permitted to estimate in monetary terms two possible costs to be supported: the first one is expressed as the expected damage to the forest crop on the basis of the current obtainable woody assortments and the second one referred to the potential expenses to pay in order to mitigate the risk. Finally, the framework was tested on an area of central Italy (Tuscany region).     

Modeling approaches for the design of resilient supply networks under disruptions

This paper studies various modeling approaches to design resilient supply networks (SN) for the location-transportation problem under uncertainty. The future environment of the SN is shaped by random demands, and by disruptions perturbing depots capacity and ship-to-point demand processes. The paper proposes several stochastic programming models incorporating alternative resilience seeking formulations. A generic approach to model SN disruptions, and to elaborate and evaluate SN designs is also proposed. Experiments are made to compare the SN design models formulated, and recommendations are drawn on the approach to use to design effective and robust supply networks.     

Optimal adaptation strategies to face shocks on groundwater resources

We consider an exogenous and reversible shock to a groundwater resource, namely a decrease in the recharge rate of the aquifer. We compare optimal extraction paths and the social costs of optimal adaptation in two cases: under certainty, i.e. when the date of occurrence of the shock is known, and under uncertainty, when the date of occurrence of the shock is a random variable. We show that an increase in uncertainty leads to a decrease in precautionary behavior in the short run and to an increase in precautionary behavior in the long run. We apply our model to the particular case of the Western la Mancha aquifer in Spain. We show that, in this context, it is advantageous for the water agency to acquire information on the date of the shock, especially for high-intensity and intermediate-risk events.     

Test for the real option in consumer behavior

Consumers become indecisive when facing too many choices. Economic analysis suggests that when a decision involves uncertain outcome, can be delayed and is irreversible, there will be a real option in the cost–benefit analysis. For example, the option to keep alive a consumer's purchasing decision has a significant value. It allows the consumer to take advantage of any future advantageous deals while avoiding the bad choices. This renders the consumer more hesitant. When a consumer decides to exercise his buying decision, he demands a compensation for the loss of this option. Hence, the benefits of a purchase must be over and above its costs by a wide margin (the option value). Data from a survey at a Turkish university on hypothetical purchase decisions confirmed the existence of this real option. We conclude with marketing policy recommendations and future research directions. Connection to the Prospect Theory is briefly explored.Note: Although the 3rd person singular pronoun he/his was used throughout to describe the consumer, he was intended to be gender-neutral.     

SENSITIVITY AND UNCERTAINTY ANALYSIS IN MRIO MODELLING; SOME EMPIRICAL RESULTS WITH REGARD TO THE DUTCH CARBON FOOTPRINT

Environmental multi-regional input–output (MRIO) models require large amounts of data that all have their specific uncertainties. This paper presents a sensitivity and uncertainty analysis in order to gain an understanding of the directions in which efforts should be made to reduce these uncertainties. The analyses were carried out for an MRIO model to calculate the Dutch carbon footprint. A sensitivity analysis of the technical coefficients showed that changes in the coefficients in the domestic blocks and in the Dutch import blocks had the largest effects on the calculated footprint. The uncertainty analysis consisting of a Monte Carlo simulation based on probability distributions around the model coefficients showed a relatively low degree of uncertainty in the total Dutch carbon footprint; uncertainties in the carbon emissions allocated to regions, sectors and products were larger. Both analyses showed that, in certain cases, it is justified to apply a partial MRIO analysis.     

DECISION THEORY UNDER AMBIGUITY

Abstract We review recent advances in the field of decision making under uncertainty or ambiguity. We start with a presentation of the general approach to a decision problem under uncertainty, as well as the ‘standard’ Bayesian treatment and issues with this treatment. We present more general approaches (Choquet expected utility, maximin expected utility, smooth ambiguity and so forth) that have been developed in the literature under the name of models of ambiguity sensitive preferences. We draw a distinction between fully subjective models and models incorporating explicitly some information. We review definitions and characterizations of ambiguity aversion in these models. We mention the challenges posed by some of the models presented. We end with a review of part of the experimental literature and applications of these models to economic settings.     

Public perception of scientific uncertainty in relation to food hazards

The research reported here aims to understand how people react to statements expressing risk uncertainty information in the context of a commonly experienced potential hazard, food related risks. Public perception of seriousness of risk for themselves, and for other people was examined for different types of uncertainty, for each of five different food hazards. The results indicated that participants responded to the different types of uncertainty in a uniform way, suggesting that perception of risk associated with uncertainty is not affected by the 'type' of uncertainty. The results further indicated that the seriousness of risk, in the presence of statements of uncertainty, was perceived to be greater for pesticides and genetic modification compared to BSE, high fat diets and Salmonella . It was argued that this could be due to the perceptions of low personal control, and high societal responsibility to protect people and societal control over exposure to the potential risks of pesticides and genetic modification. Under circumstances where people feel they have little personal control over their exposure to a particular hazard, and those social institutions that are perceived to be in control of protecting the public indicate that there is uncertainty associated with risk estimates, the hazard may appear to be 'out of control', which is associated with a perception of serious risk.     

Growth,deficits and uncertainty: Theoretical aspects and empirical evidence from a panel of 27 countries

We examine the relationship between fiscal deficits and per-capita income growth in a panel of 27 European countries, allowing for perceived risks, in terms of fiscal sustainability, associated with additional government spending. Such risks are proxied by the conditional variability of manufacturing production and stock market returns and by the unconditional variability of two survey-based economic-sentiment indicators. To help clarifying how fiscal variables impact on growth and to provide a point of reference for the interpretation of the empirical results a structural growth model is first identified. We find evidence of an asymmetric relationship, in that fiscal deficits give rise to adverse growth effects if they coincide with high uncertainty regarding the prospects of the economy and no significant negative growth effects in the low-uncertainty case.     

Cost information sharing with uncertainty averse firms

Summary. A homogeneous Cournot duopoly with asymmetric information is analyzed. Every firm learns its own marginal cost parameter, but not the marginal cost parameter of the opponent. Every firm can commit to revealing its private information to the other firm, i.e. to share information. The influence of uncertainty aversion on the readiness of the duopolists to share cost information is analyzed. Uncertainty aversion is modeled according to the Choquet utility theory. It is shown that low uncertainty aversion leads the firms to share information, while high uncertainty aversion leads the firms not to share. A simple economic explanation for this result is given.Received: 5 January 2001, Revised: 7 May 2003, JEL Classification Numbers: D43, D81, D82.I wish to thank Jürgen Eichberger, Volker Krätschmer, Willy Spanjers, seminar participants at Universität des Saarlandes, seminar participants at University College London, participants in the conference of the Verein für Socialpolitik in Mainz 1999 and an anonymous referee for helpful comments. The views expressed in this paper are those of the author and do not necessarily reflect the views of the European Central Bank.