Is the value of environmental goods sensitive to the public funding scheme? Evidence from a marine restoration programme in the Black Sea

In this paper, we conduct choice experiments in Turkey and Ukraine on the valuation of a marine restoration programme in the Black Sea, to examine whether the value of environmental goods is sensitive to the source of public financing. We contribute to the debate on the optimal composition of public expenditure, an issue that can be controversial in times of financial crises. We discriminate between two funding regimes through the reallocation of public spending. The first proposes financing the marine restoration programme by reducing public expenditure for investments in renewable energy, and the second by reducing public expenditure for civil servants’ training. The results reveal that the marginal value of public money depends on the funding source. Furthermore, attribute values are sensitive to the trade-off implied by the funding scheme. The magnitude of the results differs in the two countries considered, because of their heterogeneity in political and cultural dimensions.     

The innovation process as a complex structure with multilevel rules

Increasingly, innovation is conceived in a context of conventions or rules and complexity. However, there is a need for a theoretical basis that describes the innovation process based on complexity. In this essay, we propose a multilevel micro-meso-macro framework that aims to meet this need and further the discussion on complexity. In this framework, the rule is adopted as an analytical concept and used to establish a bridge between the several theories employed. Two gaps are identified in the innovation process: the first is related to the simplicity with which complexity is generally treated, and the second refers to a lack of focus on the rules embedded in the theories used in innovation. The goal of this theoretical essay is to propose a multilevel micro-meso-macro framework, based on the rules and principles of complexity, which can be used to analyze the innovation process. As a result, we propose a new framework in which the innovation rules and the interactions between those rules are detailed and based on principles of complexity.     

Comparing Tax and Tax Reallocation Payments in Financing Rail Noise Abatement Programmes: Results from a Stated Choice Valuation Study in Italy

The paper examines the use of stated choice experiments (SC) to assess the economic value of alternative rail noise reduction interventions on the Brennero railway in Italy. The paper formally tests the econometric robustness of the SC estimates under three payment regimes: (a) a regional tax, where consumers must trade off welfare gains due to noise reduction for part of their income; (b) a transport tax reallocation scheme, where consumers must trade off a part of the tax payments that are currently spent on the public transport sector; and (c) an administration tax reallocation scheme, where consumers must trade off a part of the tax payments that are currently spent on the administration sector. The test results are varied. On the one hand, the SC estimates are found to be statistically different for the tax reallocation and the tax introduction regimes. This confirms previous valuation research results, and thus reiterates the hypothesis that states the inequality between marginal values of private income and public money. On the other hand, the SC estimates are not found to be statistically different for the two proposed tax reallocation regimes, suggesting that, in the case study investigated here, the marginal value of public money does not depend upon the budget source.     

Determinants of the income velocity of money in Portugal: 1891–1998

This paper performs a long-run time series analysis of the behaviour of the income velocity of money in Portugal between 1891 and 1998 by assessing the importance of both macroeconomic and institutional factors and looking for particularities in the Portuguese case. We estimate two cointegration vectors for the income velocity of money, macroeconomic variables and institutional variables. It is apparent that one of these vectors reflects the relationship between income velocity and macroeconomic variables, while the other reflects the relationship between income velocity and institutional variables. Moreover, a regression analysis reveals that the usual U-shaped pattern is displayed with a relatively late inflection point located around 1970, which is consistent with the Spanish case. It is further noted that this is a feature of countries with a late economic and institutional development process.     

The Brazilian Mobile Telephoning Market and Its Indicators of Non-quality

This article aims to scale the Brazilian mobile phone market as the number of active lines, carriers participation in the market and teledensity, as well as presenting the main non-quality indicators and rankings of carriers in relation to complaints registered by users. The methodology used was ＂survey＂ with documentary research, enabled through access to the database of the Brazilian National Telecommunications Agency~-ANATEL, and Sindec Report developed by the Brazilian National Secretary of the Consumer--SENACON. The results obtained showed a Brazil of had a teledensity of 132.78 lines every 100 inhabitants, with 261 million mobile lines active, these 19 million enabled in 2012. The leadership of the company ＂Vivo＂ with 29.08% of marketshare and shows the lowest rate of complaints among the big four carriers （Vivo, TIM, Claro, and Oi M6vel） according to the data of Anatel. SENACON data already confirm the big four carriers among the 10 conglomerates more defendants in claims in Brazil. As the indicators of non-quality, the Act of Misappropriation was pointed to by users as the biggest problem in contracted services.     

Using Meta-Analysis and GIS for Value Transfer and Scaling Up: Valuing Climate Change Induced Losses of European Wetlands

There is growing policy and academic interest in transferring ecosystem service values from existing valuation studies to other ecosystem sites at a large geographic scale. Despite the evident policy demand for this combined transfer and “scaling up” of values, an approach to value transfer that addresses the challenges inherent in assessing ecosystem changes at a national or regional level is not available. This paper proposes a methodology for scaling up ecosystem service values to estimate the welfare effects of ecosystem change at this larger geographical scale. The methodology is illustrated by applying it to value the impact of climate change on European wetlands for the period 2000–2050. The proposed methodology makes use of meta-analysis to produce a value function. The parameters of the value function include spatial variables on wetland size and abundance, GDP per capita, and population. A geographic information system is used to construct a database of wetland sites in the case study region with information on these spatial variables. Site-specific ecosystem service values are subsequently estimated using the meta-analytic value function. The proposed method is shown to enable the adjustment of transferred values to reflect variation in important spatial variables and to account for changes in the stock of ecosystems.     

Pricing and static hedging of American-style options under the jump to default extended CEV model

This paper prices (and hedges) American-style options through the static hedge approach (SHP) proposed by Chung and Shih (2009) and extends the literature in two directions. First, the SHP approach is generalized to the jump to default extended CEV (JDCEV) model of Carr and Linetsky (2006), and plain-vanilla American-style options on defaultable equity are priced. The robustness and efficiency of the proposed pricing solutions are compared with the optimal stopping approach offered by Nunes (2009), under both the JDCEV framework and the nested constant elasticity of variance (CEV) model of Cox (1975), using different elasticity parameter values. Second, the early exercise boundary near expiration is derived under the JDCEV model.     

Health,Social Insurance and Income

Health, a form of human capital, can be defined by longevity and physical wellbeing. Social policy decisions require an understanding of the factors that contribute to the creation of health inequalities. To learn more about socioeconomic variables and health capital, this paper examines the relationship between three key variables: health, social insurance, and income, for the Swedish population. Using a randomized research survey design, data from 3,600 participants of a larger Swedish study, conducted in 2005, was analyzed. A linear model of Three Stage Least Squares was chosen to correct for simultaneous bias in the Health, Social Insurance, and Income (HSI) Model. Findings confirm the importance of socioeconomic, behavioral and environmental factors in explaining health inequalities. The results clearly show men, educated people, nonsmokers, individuals that exercise and youngsters possess higher health status than other people. The dependency on social insurance is mainly caused by poor health; a higher degree of social insurance dependency was offset by income increases due to age and higher professional level.