Splitting leagues: promotion and demotion in contribution-based regrouping experiments

The paper reports an experimental study on a promotion-demotion mechanism to mitigate the free-rider problem in a voluntary contribution setting. The mechanism hierarchically splits a group in two; we refer to one subgroup as the Major league and to the other as the minor league. The most cooperative subject of the minor league is switched with the least cooperative subject in the Major league. The results reveal a significant increase of cooperation levels in both leagues relative to the standard voluntary contribution mechanism. We argue that a lack of sequentially-rational beliefs about continuation payoffs in Major and minor leagues leads to higher equilibrium contributions. The data suggest beyond that, the promotion-demotion mechanism regroups subjects deliberately according to their cooperativeness.     

Firm innovativeness and work-life balance

Assessing firms’ innovativeness is not an easy task. The literature recognises a number of innovativeness indicators. Most of them are technology-based indicators which perform well in high-tech industries but might be ineffective in other industries where patenting is not usual or in which R&D budgets are low or not formalised. In this paper, we critically review previous innovativeness indicators and we propose a new approach to assess firm innovativeness that is based not on the role of technology but on that of people. This new approach focuses on the existence of work-life balance benefits that are connected with motivation, engagement and creativity in the workplace. We argue that this could be an effective complementary means to assess the innovativeness of firms. It could be combined with previously used indicators and might have considerable advantages such as their suitability for application in any kind of firm regardless of its technological profile.     

Information brokers and the use of budgetary and financial information by politicians: the case of Portugal

This paper analyses the intermediary role of the technical bodies that support the use of budgetary and financial information by central government politicians in Portugal. The main findings show that information brokers are playing a central role in preparing this information in a credible, simple and understandable way. However, even if not intentionally, the information they present can be biased. Politicians need to be aware that the information brokers they rely on may not be giving them ‘neutral’ information.     

Tax on emissions or subsidy to renewables? Evaluating the effects on the economy and on the environment

We examine the relationship between the economy and the environment in a model where production uses nonpolluting renewable and polluting nonrenewable resources. There is policy intervention through a tax on emissions and a subsidy to renewables extraction/production. Results show that both instruments are able to decrease emissions intensity of output. However, when used together, the desired effect is higher. Empirically it is shown that the subsidy achieves higher renewables intensity and although present emissions per output are similar for both instruments, the subsidy achieves lower future levels.     

Happiness, geography and the environment

In recent years, economists have been using socio-economic and socio-demographic characteristics to explain self-reported individual happiness or satisfaction with life. Using Geographical Information Systems (GIS), we employ data disaggregated at the individual and local level to show that while these variables are important, consideration of amenities such as climate, environmental and urban conditions is critical when analyzing subjective well-being. Location-specific factors are shown to have a direct impact on life satisfaction. Most importantly, however, the explanatory power of our happiness function substantially increases when the spatial variables are included, highlighting the importance of the role of the spatial dimension in determining well-being.     

Public Preferences for Hydrogen Buses: Comparing Interval Data, OLS and Quantile Regression Approaches

We use a quantile regression (QR) approach to analyse contingent valuation estimates of public willingness to pay (WTP) for the air and noise pollution reductions associated with the introduction of hydrogen buses in London. QR results show that variables that were not significant in interval regression or ordinary least squares regression become significant at certain quantiles along the WTP distribution. In addition, the determinants of WTP at the lower tail of the distribution differ from those at the higher end of the distribution. Our findings illustrate the usefulness of quantile regression methods for analysing contingent valuation data, enhancing our understanding of the determinants of willingness to pay.     

The accountability demand for information in China and the US – A research note

This study replicated Evans, Heiman-Hoffman and Rau’s (hereafter, EHR) [Evans, J. H., III, Heiman-Hoffman, V. B., & Rau, S. (1994). The accountability demand for information. Journal of Management Accounting Research, 6, 24–42] US study, using Chinese MBA students as participants. The Chinese students acted as owners and selected one of two control systems. One control system requires truthful reporting and the other control system permits the manager to falsify the report. The two systems have the same expected payoff to the owner if the owner believes that the manager will always lie when given the opportunity. If the owner believes that there is any probability that the manager will tell the truth, then the more Lenient System has the higher expected payoff. We compared the US versus Chinese control system choices, and examined whether the Chinese owner-participants would be willing to sacrifice wealth to get accountability. The results indicate that a significant proportion of Chinese participants do have an accountability demand for information, and that this proportion is at least as high as that of the US participants in EHR.     

Selecting sustainable electric bus powertrains using multipreference evolutionary algorithms

Constant improvement of vehicle technologies towards more efficient powertrains and reduced pollutant emissions, frequently leads to the increase of the vehicle or fuel costs, compromising its viability. Multi-objective optimization methods are commonly used to solve such problems, finding optimal trade-off solutions relatively conflicting objectives. Nevertheless, vehicle driving performance, is often disregarded from the optimization process or considered only as a fixed constraint. This may raise some issues, which are discussed in this paper: (a) vehicle dynamics are not improved, (b) trade-off optimal solutions are not distinguishable, (c) interesting solutions near constraints limits won´t be considered if constraints are not marginally relaxed.

This paper proposes a method to optimize three electric-drive vehicle options for an urban bus, a battery electric (BEV), a fuel cell hybrid (FC-HEV) and a plug-in hybrid (FC-PHEV), aiming minimum carbon footprint, maximum financial indicator and simultaneously improved driving performance (speed, acceleration, and electric range). The carbon footprint is assessed by a life cycle (LC) approach, considering the impact of the fuel production and use, and vehicle embodied materials; while the financial assessment considers the vehicle and fuel costs. The spherical pruning multi-objective differential evolution algorithm (spMODE-II) is used in the optimization, considering different preference regions within the problem constraints and objectives. The vehicle solutions optimality and suitability are compared with other multi-objective algorithm, NSGA-II.

The FC-HEV achieved the lowest LC emissions (547 g/km), and the FC-PHEV the maximum financial gain (0.19 $/km), while the BEV achieved the best trade-off of solutions.     

Migration and trade: Theory with an application to the Eastern-Western European integration

The remarkable increase in trade flows and in migratory flows of highly educated people are two important features of globalization of the last decades. This paper extends a two-country model of inter- and intra-industry trade to a rich environment featuring technological differences, skill differences and the possibility of international labor mobility. The model is used to explain the patterns of trade and migration as countries remove barriers to trade and to labor mobility. We parameterize the model to match the features of the Western and Eastern European members of the EU and analyze first the effects of the trade liberalization which occurred between 1989 and 2004, and then the gains and losses from migration which are expected to occur if legal barriers to labor mobility are substantially reduced. The lower barriers to migration would result in significant migration of skilled workers from Eastern European countries. Interestingly, this would not only benefit the migrants and most Western European workers but, via trade, it would also benefit the workers remaining in Eastern Europe.     

On the Use of Subjective Well-Being Data for Environmental Valuation

This paper explores the potential of using subjective well-being (SWB) data to value environmental attributes. A theoretical framework compares this method, also known as the life-satisfaction approach, with the standard hedonic pricing approach, identifying their similarities and differences. As a corollary, we show how SWB data can be used to test for the equilibrium condition implicit in the hedonic approach (i.e., equality of utility across locations). Results for Ireland show that the equilibrium condition required by the hedonic pricing approach in Irish markets does not hold. They also show that air quality, in the baseline specification, and warmer climate, across all the specifications, have a significant positive impact on SWB. Their associated monetary estimates, however, seem too large.