Integrated bio-economic models as tools to support land-use decision making: a review of potential and limitations

Bio-economic modelling has become a useful tool for anticipating the outcomes of policies and technologies before their implementation. Advances in mathematical programming have made it possible to build more comprehensive models. In an overview of recent studies about bio-economic models applied to land-use problems in agriculture and forestry, we evaluated how aspects such as uncertainty, multiple objective functions, system dynamics and time have been incorporated into models. We found that single objective models were more frequently applied at the farm level, while multiple objective modelling has been applied to meet concerns at the landscape level. Among the objectives, social aspects are seldom represented in all models, when being compared to economic and environmental aspects. The integration of uncertainty is occasionally a topic, while stochastic approaches are more frequently applied than non-stochastic robust methods. Most multiple-objective models do not integrate uncertainty or sequential decision making. Static approaches continue to be more recurrent than truly dynamic models. Even though integrating multiple aspects may enhance our understanding of a system; it involves a tradeoff between complexity and robustness of the results obtained. Land-use models have to address this balance between complexity and robustness in order to evolve towards robust multiple-objective spatial optimization as a prerequisite to achieve sustainability goals.     

Output-inflation tradeoffs in 34 countries

This article examines the responsiveness of real output to the variability of inflation and aggregate demand. In the manner of Lucas (1973), estimates of the output-inflation tradeoff are computed for a large sample of countries. This measure is then correlated with the variances of the inflation rate and the growth rate in nominal income. Because differences in inflation variance (and hence the tradeoff) are viewed as the outcomes of differences in demand variance, correlations between these two variables are also reported. Cross-time and cross-country results provide a good measure of support for Lucas and the notion that attempts to exploit the tradeoff weaken it.     

Finding Closest Targets in Non-Oriented DEA Models: The Case of Convex and Non-Convex Technologies

This paper draws attention for the fact that traditional Data Envelopment Analysis (DEA) models do not provide the closest possible targets (or peers) to inefficient units, and presents a procedure to obtain such targets.It focuses on non-oriented efficiency measures (which assume that production units are able to control, and thus change, inputs and outputs simultaneously) both measured in relation to a Free Disposal Hull (FDH) technology and in relation to a convex technology. The approaches developed for finding close targets are applied to a sample of Portuguese bank branches.     

Testing the significance and the non-linearity of the Phillips trade-off in the Euro Area

This paper tests the significance and the non-linearity of the Phillips trade-off in the aggregate Euro Area, in an unobserved components model of stochastic NAIRU and trend output featuring the Phillips equation and the Okun law as main identifying equations, with quarterly data for 1970:I-2002:III. The Phillips curve turns out to be linear and its trade-off statistically significant, while non-linearity shows up in the Okun relation. The results prove to be robust to alternative lag length structures of the model, and to alternative non-linear functional forms. The trend-cycle decompositions estimated with the model capture the main features of the Euro Area’s recent macroeconomic record.First version received: 1 September 2003 / Final version received: June 2004CEMPRE - Centro de Estudos Macroeconómicos e Previsão - is supported by the Fundação para a Ciência e a Tecnologia, Portugal, through the Programa Operacional Ciência, Tecnologia e Inovação (POCTI) of the Quadro Comunitário de Apoio III, which is financed by FEDER and Portuguese funds.We thank comments on earlier versions by Fabio Canova, Miguel St Aubyn, Alvaro Almeida, Pete Richardson, Kevin Ross, and two anonymous referees. We acknowledge James D. Hamilton’s help with the confidence bands. The usual disclaimer applies.     

Measuring financial risks with copulas

This paper is concerned with the statistical modeling of the dependence structure of multivariate financial data using the concept of copulas. We select some special copulas and identify the type of dependency captured by each one. We fit copulas to daily returns and simulate from the fitted models. We compare the effect of the choice of copula on risk measures and assess the variability of one-step-ahead predictions of portfolio losses. We analyze extreme scenarios and fit extreme value copulas to the block maxima and minima from daily returns. The stress scenarios constructed are compared to those obtained using models from the extreme value theory. We illustrate the usefulness of the copula approach using two stock market indexes.     

Can teaching social dilemmas make people more prosocial? An experiment

Economics and business students regularly behave less prosocially than others. Can ethics training reverse this tendency? Results from a repeated public goods experiment reveal that it can. Students who attend an interactive lecture on social dilemmas show significantly more cooperation than others. However, the lecture does not appear to increase the incidence of reciprocal behavior. As many current social problems qualify as social dilemmas, this result stresses the importance of ethics training for policy makers and curriculum designers alike in overcoming the incentive structure of social dilemmas.     

ASSESSING THE IMPACT OF DISTRIBUTIVE POLICIES ON THE BRAZILIAN ECONOMY USING AN SCGE MODEL

This study investigates the impact of macroeconomic policies on the Brazilian economy. We present a two-sector, open-economy, Structuralist Computable General Equilibrium model that distinguishes among three economic classes and assumes no financial sector. The Social Accounting Matrix for Brazil in 2006 serves as a benchmark for our model. We compare the medium-run effects of five experiments: an income transfer towards formal workers, a transfer to informal labour, an investment shock, an exchange rate depreciation, and a policy mix that combines (exchange rate) depreciation with income transfer towards modern (sector) workers. The policy measures reinforce each other in terms of their potential to enhance growth. Our findings underscore the importance of redistributive policies to foster economic expansion.     

The relationship between satisfaction and loyalty: A mediator analysis

This study proposes a multiple mediation model to analyze the relationship between satisfaction and loyalty. The study's contribution to the literature is to examine, empirically, the main antecedents and determinants of this endogenous variable in greater depth. Thus, the research fills a gap in the literature through its analysis of the mediating role of perceived switching costs and the perceived lack of attractiveness of alternative offerings. This study applies variance-based structural equation modeling via partial least squares to a sample of 785 customers from 74 insurance companies in the service sector. The results show that perceived switching costs – to a greater extent – and the perceived lack of attractiveness of alternative offerings – to a lesser extent – are significant mediators in the relationship between satisfaction and loyalty.     

HEGY Tests in the Presence of Moving Averages*

We analyze the asymptotic distributions associated with the seasonal unit root tests of Hylleberg et al. (1990) for quarterly data when the innovations follow a moving average process. Although both the t‐ and F‐type tests suffer from scale and shift effects compared with the presumed null distributions when a fixed order of autoregressive augmentation is applied, these effects disappear when the order of augmentation is sufficiently large. However, as found by Burridge and Taylor (2001) for the autoregressive case, individual t‐ratio tests at the semi‐annual frequency are not pivotal even with high orders of augmentation, although the corresponding joint F‐type statistic is pivotal. Monte Carlo simulations verify the importance of the order of augmentation for finite samples generated by seasonally integrated moving average processes.     

Mix between Satisfaction and Attributes Destination Choice: A Segmentation Criterion to Understand the Ski Resorts Consumers

This study examined the attributes prioritized by tourists when choosing a winter sports destination and their degree of satisfaction with the services provided by Portugal's only ski resort. Two hundred tourists completed a questionnaire with factor analysis then deployed to extract the data that served as the basis for cluster analysis. Our results report discrepancies between the attributes valued by tourists when choosing winter sports destinations and their degree of satisfaction with the ski resort's services. Moreover, the combination between attributes/motivations prevailing in destination selection and the subsequent satisfaction with the services provided may generate information of relevance to evaluating organizational competitiveness. Copyright © 2014 John Wiley & Sons, Ltd.