Modelling Determinants of Participation,Number of Trips and Site Choice for Outdoor Recreation in Protected Areas

This is a study on demand for outdoor recreation in a national system of environmentally protected areas. The exercise is based on a nationwide survey carried out in 1996 from a stratified random sample of 5,574 Italian households. Data on socio‐economic characteristics and recreational choice behaviour of respondents were collected and this information was supplemented by a second data‐base containing information on 193 Italian EPAs in order to characterise the different outdoor destinations on the basis of their recreational attributes. These data sets are used here to model choices of outdoor recreation within environmentally protected areas, using a sequence of three different models: (i) a dichotomous choice logit model for the probability of participation conditional on household covariates; (ii) a count data Poisson model to estimate the household's expected number of trips per year; (iii) a conditional logit model to estimate the probability of site selection conditional on site attributes. We report the estimated per‐trip welfare changes derivable from an actual policy proposal which would extend the area under environmental protection by ten per cent.     

Animal Welfare and Eggs – Cheap Talk or Money on the Counter?

Our estimate revealed willingness to pay for animal welfare using a panel mixed logit model. We utilise a unique household level panel, combining real purchases with survey data on perceived public and private good attributes of different types of eggs. We estimate willingness to pay for organic eggs controlling for trust in a positive connection between the public good animal welfare and the organic label and the private good food safety also connected to the label. Our results suggest that in the real world, animal welfare plays a minor role in the demand for agricultural products.     

Forest transitions: An introduction

When people speak about ‘forest transitions’, they generalize about the ways in which the extent of forested land changes as societies undergo industrialization and urbanization. Alexander Mather coined the term ‘forest transition’, outlined a theory to explain it, and carried out a series of careful historical studies to illustrate the idea. The papers assembled in this special issue both extend and deepen Mather's pathbreaking work. They suggest that the idea of the forest transition, like the much critiqued idea of a demographic transition in population studies, has become a useful theoretical tool for understanding contemporary land use changes.     

The relationship between awareness of road safety measure and accident involvement in pre-drivers: the basis of a road safety programme

Objectives: This research aims to carry out a first validation of the QAR-Precon screening questionnaire applied in Catalonia during the drivers’ initial training, analyse the differences in risky road user behaviour according to two main variables: whether they had any experience of an accident and sex and examine the different risky road user patterns of pre-drivers. Methods: In order to group the questionnaire variables together, an exploratory factorial analysis (principal component analysis (PCA)) was used. Subsequently, the reliability coefficients of the questionnaire and the subscales were calculated. Lastly, ANOVA models were used to compare differences in the whole sample and a cluster analysis was performed to identify different risky pre-driver groups. Results: The factorial analysis (PCA) reveals the existence of five risk factors (speed and risk, external circumstances, distraction, alcohol and driving and other elements of driving) that explain 44.6% of the variance. More males than females reported that they had a higher tendency to take risks in all the risky factors exposed and injured pre-drivers reported less awareness of road safety than pre-drivers who had not been injured. A two-cluster solution indicated that it was possible to distinguish a group of pre-drivers who engaged in high risky behaviour (high group) from the group who engaged in moderate and low levels of risky road user behaviour (low group). Conclusions: The implications of these findings for programme designs and training initiatives to improve efficiency in reducing the accident rate are discussed.     

Examining multi-functionality for crop yield and ecosystem services in five systems of agroecological intensification

Agroecological intensification (AEI) integrates ecological principles and biodiversity management into farming systems with the aims of increasing farm productivity, reducing dependency on external inputs, and sustaining or enhancing ecosystem services. This review develops an analytic framework to characterize the fulfilment of these objectives by documenting the co-occurrence of positive, neutral, and negative outcomes for crop yield and nine regulating ecosystem services. We provide an illustrative examination of the framework, evaluating evidence for yield and ecosystem service outcomes across five AEI systems: conservation agriculture, holistic grazing management, organic agriculture, precision agriculture, and system of rice intensification (SRI). We reviewed 104 studies containing 245 individual comparisons between AEI and contrasting farming systems. In three of the five AEI systems, conservation agriculture, precision agriculture, and SRI, more than half of reviewed comparisons reported ‘win-win’ outcomes, enhancement of both yield and ecosystem services, or ‘win-neutral’ outcomes relative to contrasting farming systems. The review presents substantial evidence that the five AEI systems can contribute to multi-functional agriculture by increasing ecosystem service provision, or reducing negative externalities associated with agriculture, while maintaining or increasing yields. A framework such as the one presented here can help guide decision-makers considering how best to implement multi-functional agriculture so that both crop yield and ecosystem service delivery can be maintained or increased.     

Growing talent as if your business depended on it

Traditionally, corporate boards have left leadership planning and development very much up to their CEOs and human resources departments-primarily because they don't perceive that a lack of leadership development in their companies poses the same kind of threat that accounting blunders or missed earnings do. That's a shortsighted view, the authors argue. Companies whose boards and senior executives fail to prioritize succession planning and leadership development end up experiencing a steady attrition in talent and becoming extremely vulnerable when they have to cope with inevitable upheavals- integrating an acquired company with a different operating style and culture, for instance, or reexamining basic operating assumptions when a competitor with a leaner cost structure emerges. Firms that haven't focused on their systems for building their bench strength will probably make wrong decisions in these situations. In this article, the authors explain what makes a successful leadership development program, based on their research over the past few years with companies in a range of industries. They describe how several forward-thinking companies (Tyson Foods, Starbucks, and Mellon Financial, in particular) are implementing smart, integrated, talent development initiatives. A leadership development program should not comprise stand-alone, ad hoc activities coordinated by the human resources department, the authors say. A company's leadership development processes should align with strategic priorities. From the board of directors on down, senior executives should be deeply involved in finding and growing talent, and line managers should be evaluated and promoted expressly for their contributions to the organization-wide effort. HR should be allowed to create development tools and facilitate their use, but the business units should take responsibility for development activities, and the board should ultimately oversee the whole system.     

Willingness to use mobile application for smartphone for improving road safety

In the last few years mobile devices have reached a large amount of consumers in both developed and high-growth world economies. In 2013, 97% of the Italian population owns a mobile phone, and 62% owns a smartphone. Application software for mobile devices is largely proposed to consumers, and several mobile applications were oriented toward the improvement of road safety and road accident risk reduction. In this paper, we describe the results of a survey oriented to preventively investigate on the willingness to receive and/or to give information about road condition by means of mobile devices. Road users were informed about the characteristics of a mobile application, and then they were invited to complete a questionnaire. Experimental data were used for capturing road user attitudes toward the use of the smartphone to improve road safety, and to establish the preferences for the different features of the proposed mobile application. To this end, we choose to use the ordered probit model methodology. We demonstrate that the adopted methodology accounts for the differential impacts of the willingness to receive and/or to give information about road conditions on the overall willingness to receive and/or to give information through an application software for mobile devices.     

An insight into the Italian economy from an analysis based on the industrial production index in both frequency and time domains

This paper aims to gain new insights into the Italian economic tendency toward recovery by investigating the Industrial Production Index series (IPI). The trend and cyclical components of the series are determined using a novel technique which hinges on optimal truncated ideal low‐pass filters. The contributions of the latent components to the IPI series are brought to the fore by a spectrum analyzer that evaluates the spectra of the said components in the bands of interest. The analysis results corroborate that the Italian economy is still subject to cyclical effects that can compromise its recovery.     

The drivers of firm longevity: Age,size, profitability and survivorship of Australian corporations, 1901–1930

Why do some firms last longer than others? This question has attracted considerable interest among scholars from business history, management and economics. Our article combines the business historian’s macro view of the relationship between size, longevity, and economic development with quantitative modelling. We apply survival analysis to data relating to size, age and profitability, three first-order explanations of longevity, for Australian stock exchange (ASX) listed corporations from 1901 to 1930. The novelty of the article is twofold: we find that firm size is a poor predictor of longevity for the full sample but its age and profitability are highly significant; our data covers a longer time frame and relates to a rich mid-sized and non-industrialised country.     

The role of trade and offshoring in the determination of relative wages and child labour

Incorporating family decisions in a two-period model of the world economy, we predict that trade liberalization raises the skill premium and reduces child labour in developing countries where the adult labour force is sufficiently well educated to attract production activities from abroad that will increase the demand for skilled relative to unskilled labour. Elsewhere, liberalization will reduce the skill premium, but it will not necessarily raise child labour. Our prediction is not rejected by the data, and it explains why child labour is negatively associated with trade openness in those developing countries where the labour force was relatively well educated when the liberalization took place, but not elsewhere.