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.     

Capital structure decisions: old issues,new insights from high-tech small- and medium-sized enterprises

Using panel data models and this study analyses the capital structure decisions of high-tech small- and medium-sized enterprises (SMEs) and non-high-tech SMEs. The results suggest that the capital structure decisions of high-tech SMEs are closer to what is predicted by the Pecking Order Theory. However, the results also suggest a modified version of the Pecking Order Theory for high-tech SMEs that have relied on venture capital. These firms prefer equity issues to debt, when internal finance is exhausted. The empirical evidence suggests that problems relating to information asymmetry as well as technological and market uncertainty influence the capital structure decisions of high-tech SMEs.     

On the efficiency of a global market for carbon dioxide emission permits: Type of externality and timing of policymaking

We demonstrate that global permit markets are Pareto efficient despite the externality type, production or consumption, when income redistribution occurs after regional environmental policymaking. Ex-ante income redistribution is neutral if emissions affect production only, but non-neutral if emissions affect consumption.     

Separation costs, job heterogeneity and labor market volatility in the matching model

This paper extends the standard matching model by introducing a gap in separation costs between entrant and incumbent workers. We show that when this gap is omitted from the model, these costs do not improve the labor market volatility without introducing unrealistic unemployment responses to unemployment benefits.     

An empirical procedure for enhancing the impact of road investments

The importance of ‘needs based planning’ is increasingly being recognised by road authorities. Such planning entails allocation of resources to explicitly account for the requirements of the community well into the future. Accomplishing what the community requires of a road system, at least at a level desired by them and ensuring regional equity in meeting community requirements, are two issues that are at the fore-front of needs based planning. This paper demonstrates that, in order to achieve these planning objectives it is necessary to adopt a procedure that can identify road investment proposals with the maximum ability to cost-effectively generate what the community perceive as gain in value to them due to road investment. Using data collected for Western Australia, the paper illustrates that generating investment proposals by commonly used approaches—including conventional multi-criteria analysis—cannot satisfactorily address these issues.     

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.     

Users' satisfaction evolution of a metropolitan transit system in a context of economic downturn

As the worldwide financial crisis is directly connected to the transport sector, public transport systems become a central player to support economic recovery. Transit services are facing a number of challenges as a consequence of this severe crisis. However, each attribute characterizing transit services has evolved in a different manner, thereby raising some chances and opportunities at some specific areas. This study investigates the evolution of service quality on a metropolitan transit system under economic crisis conditions. We used data from three customer satisfaction surveys (2008, 2011, and 2014) conducted at the bus transit service of the metropolitan area of Granada (Spain). Principal component analysis (PCA) and structural equation modeling (SEM) approaches were applied. PCA results show that the attributes describing the service were grouped into two levels of dimensions according to their impact on users' overall satisfaction (Transport Service Factors and Comfort and Convenience Factors). Subsequently, following a competing model strategy, the existing relationships between users' satisfaction and perception of service quality dimensions were ascertained. Finally, three SEMs were calibrated, one for each year under study, and were subjected to a multigroup analysis to test for equivalence among the three models. The outcomes show that fare of the ticket has lost importance as the financial crisis has become more noticeable and that Transport Service Factors had lower influence and users' satisfaction in 2011, when downturn was more intense.     

Political aspects of household finance: debt,wage bargaining,and macroeconomic (in)stability

The recent literature has shown that income inequality is one of the main causes of borrowing and debt accumulation by working households. This article explores the possibility that household indebtedness is an important cause of rising income inequality. If workers experience rising debt burdens, their cost of job loss may rise if they need labor-market income to continue borrowing and servicing existing debt. This, in turn, will reduce their bargaining power and increase income inequality, inducing workers to borrow more to maintain consumption standards, and so creating a vicious circle of rising inequality, job insecurity, and indebtedness. We believe that these dynamics may have contributed to observed simultaneous increases in income inequality and household debt prior to the recent financial crisis. To explore the two-way interaction between inequality and debt, we develop an employment rent framework that explicitly considers the impact of workers’ indebtedness on their perceived cost of job loss. This is embedded in a neo-Kaleckian macro model in which inequality spurs debt accumulation that contributes to household consumption spending and hence demand formation. Our analysis suggests that (a) workers’ borrowing behavior plays a crucial role in understanding the character of demand and growth regimes; (b) debt and workers’ borrowing behavior play an important role in the labor market by influencing workers’ bargaining power; and (c) through such channels, workers’ borrowing behavior can be a decisive factor in the determination of macroeconomic (in)stability.     

Fragmentation and Market Quality: The Case of European Markets

This paper questions whether the proliferation of alternative trading venues in Western Europe after MiFID implementation in 2007 affected market quality. By means of a difference-in-differences analysis, we evaluate changes in market quality of stocks that initiated trading in Multilateral Trading Facilities (MTF) in relation to matched samples. Our analysis provides evidence that the overall liquidity (measured by transaction costs and price impact) and trading activity increased in the short term with trade initiation in MTF. Notably, we show that fragmentation did not cause lower price precision or informativeness, but some tests suggest that fragmentation correlates positively with volatility. The results of this study are stronger for stocks with greater propensity for MTF trade initiation, i.e. stocks with greater size and liquidity prior to that event. Interestingly, the impact on liquidity and trading activity varied across stock exchanges and timing of MTF trade initiation. As for long run effects, our results suggest an improvement of overall liquidity and a neutral effect on the trading activity of traditional exchanges.     

Impact of the stock market capitalization and the banking spread in growth and development in Latin American: A panel data estimation with System GMM

This research is aimed at assessing the impact of the stock market capitalization and the banking spread in per capita economic growth (as a proxy of economic development) in the major Latin American economies during period 1994–2012. To do this, a panel data model is estimated with both system and difference Generalized Method of Moments. The main empirical findings are that economic growth in the countries under study is positively impacted by the stock market capitalization and negatively by the banking spread. Typical problems of multicollinearity and autocorrelation appearing in panel data analysis are corrected under the proposed methodology.