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.     

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.     

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.     

SHEDDING LIGHT ON THE LIGHT BULB PUZZLE: THE ROLE OF ATTITUDES AND PERCEPTIONS IN THE ADOPTION OF ENERGY EFFICIENT LIGHT BULBS

Despite the potential energy savings and economic benefits associated with compact fluorescent light bulbs, their adoption by the residential sector has been limited to date. In this paper, we present a theoretical model that focuses on the agents' ability to perceive the correct cost of lighting and on the role of environmental attitudes as key determinants of the adoption decision. We use original data from Ireland to test our theoretical predictions. Our results emphasize the importance of education, information and environmental awareness in the adoption decision.     

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.     

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.     

Institutional factors and farmers’ adoption of conventional,organic and genetically modified cotton in Burkina Faso

Organic farming and genetically modified (GM) crops technologies are currently being promoted as alternatives to conventional farming that is seen as unsustainable. However, institutional constraints can impede the adoption of even the most sustainable technology. This paper analysed the effect of institutional factors on farmers’ adoption of conventional, organic and GM cotton in Burkina Faso. Building on the expected utility model and institutional theory, a multinomial logistic regression was performed using farmers’ survey data from the 2014–2015 production season. The results showed that subsidies on fertiliser and credit for cereals production, the power of farmers’ association and that of the cotton company favoured the adoption of conventional and GM cotton at the expense of organic cotton. In order to succeed, organic cotton projects need to include components that help farmers to access organic fertilisers for cereals production. They also need to involve the cotton companies that are the most powerful stakeholders of the cotton sector. Extension services are necessary for both organic and GM cotton adoption. Other important factors to consider include farmers’ education, the potentials of the technologies, the good agro-ecological conditions, the continued involvement of women, the availability of virgin lands and the closeness of farmers to their farms.     

BIG‐BOX RETAILERS,RETAIL EMPLOYMENT,AND WAGES IN THE US

This paper examines the dynamic interrelationship between the presence of big‐box retailers and retail employment and wages in the United States at county level for 1986–2005 using panel vector autoregressions (Panel VAR). The Panel VAR approach addresses endogenous interactions among the variables in the system. In other words, this approach takes into account the fact that the presence of big‐box retailers can have an impact on retail employment and wages and at the same time, retail employment and wages can influence the presence of big‐box retailers. Results indicate that the presence of big‐box retailers has a positive effect on employment but a negative effect on wages. The effect on wages is relatively greater and is more prolonged than the effect on employment. Both employment and wages have an instant (first year) positive effect on the presence of big‐box retailers, which implies that big‐box stores are located in areas where the economy is growing.     

Flood Insurance and Risk Reduction: Market Penetration,Coverage, and Mitigation in Coastal North Carolina

This article provides an overview of flood risk management in the United States, focusing on the National Flood Insurance Program and the Community Ratings System (CRS), which is designed to promote flood hazard mitigation. We review the empirical literature that examines market penetration and demand for flood insurance, as well as factors that influence community participation in CRS. Combining data from separate (but similar) surveys conducted in Dare County, North Carolina in 1998 and 2008, we examine trends in flood insurance holdings and explore the extensive (binary participation) and intensive (coverage level) margins using regression analysis. We explore trends in CRS mitigation activities in Dare County and discuss potential difficulties in analyzing these data. Finally, we highlight avenues for future research.