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.     

Corporate and personal income tax declarations

Decisions by firms and individuals on the extent of their tax payments have generally been treated as separate choices. Empirically, a positive relationship between corporate and personal income tax evasion can be observed. The theoretical analysis in this paper shows that a manager's decision on the firm's behaviour will be independent of his personal preferences if the gain from reducing corporate tax payments is certain, as in the case of tax avoidance. If, however, the firm evades taxes so that the manager's income depends on whether the firm's activities are detected or not, corporate and personal income tax evasion choices cannot be separated. Jel Code H 24 · H 25 · H 26     

Stochastic optimization of sustainable hybrid generation bioethanol supply chains

This paper focuses on designing a hybrid generation bioethanol supply chain (HGBSC) that will account for economic, environmental and social aspects of sustainability under various uncertainties. A stochastic mixed integer linear programming model is proposed to design an optimal HGBSC. A case study set in the state of North Dakota in the United States is used as an application of the proposed model. The results suggest that the designs of optimal HGBSC change when different sustainability standards are applied. In addition, sensitivity analysis is conducted to provide deeper understanding of the proposed model.     

On Conformity Testing and the Use of two Stage Procedures

Conformity testing is a systematic examination of the extent to which an entity conforms to specified requirements. Such testing is performed in industry as well as in regulatory agencies in a variety of fields. In this paper we discuss conformity testing under measurement or sampling uncertainty. Although the situation has many analogies to statistical testing of a hypothesis concerning the unknown value of the measurand there are no generally accepted rules for handling measurement uncertainty when testing for conformity. Usually the objective of a test for conformity is to provide assurance of conformity. We therefore suggest that an appropriate statistical test for conformity should be devised such that there is only a small probability of declaring conformity when in fact the entity does not conform. An operational way of formulating this principle is to require that whenever an entity has been declared to be conforming, it should not be possible to alter that declaration, even if the entity was investigated with better (more precise) measuring instruments, or measurement procedures. Some industries and agencies designate specification limits under consideration of the measurement uncertainty. This practice is not invariant under changes of measurement procedure. We therefore suggest that conformity testing should be based upon a comparison of a confidence interval for the value of the measurand with some limiting values that have been designated without regard to the measurement uncertainty. Such a procedure is in line with the recently established practice of reporting measurement uncertainty as “an interval of values that could reasonably be attributed to the measurand”. The price to be paid for a reliable assurance of conformity is a relatively large risk that the procedure will fail to establish conformity for entities that only marginally conform. We suggest a two‐stage procedure that may improve this situation and provide a better discriminatory ability. In an example we illustrate the determination of the power function of such a two‐stage procedure.     

Commentary: Morality and workability ­ a rejoinder to O'Riordan

This paper is about understanding the rhetoric of precaution and the practice of decision-making in areas of environmental controversy. It untangles the rhetoric, as established in documented agreements referring to precaution, from the constituent ideas that embody it, as characterized by those who deliberate on its application. By analysing the ways in which the rhetoric of precaution is framed within these documents it is possible to identify different elements that make up the principle in theory. By focussing on the constituent ideas behind the precautionary principle it is possible to move forward from the stalemate of rhetoric that could become the focus of attention itself.     

影响自主创新的因素——基于BACE方法对中国省际数据的分析

经典估计贝叶斯平均(BACE)是最近由Sala-i-Martin等人提出的一种处理模型不确定性的方法,它可以在进行参数估计的同时给出各解释变量的稳健性指标,并且还能够按照解释能力的大小对众多的备选变量进行分类和排序.本文首次利用这一方法对可能影响中国自主创新的因素进行了全面的分析,在上百万次回归的基础上,我们得到的主要结果是:在事先列出的20个可能的解释变量中,本地区试验发展支出、人均GDP、贸易依存度、邻接地区试验发展支出对创新产出的解释能力最强,并且都具有良好的稳健性;贷款余额与GDP之比、外商直接投资与GDP之比、各地区科学研究支出、地方财政决算本级收入与GDP之比、邻接地区科学研究支出等五个变量对创新产出也有一定的解释能力.