How Does Probability of Innovation Change with Firm Age?

This paper looks at the probability of introducing innovations by manufacturing firms at different stages of their lives. Once differences related to activity and size are controlled for, we examine how the probability of innovation varies over entry, post-entry ages, and advanced ages of mature firms. We also measure the association between exit from the market and pre-exit innovation. Results show that the probability of innovating widely varies by activity, and that small size per se broadly reduces the probability of innovation, but also that entrant firms tend to present the highest probability of innovation while the oldest firms tend to show lower innovative probabilities. Some sets of firms with intermediate ages also present a high probability of innovation, and exiting firms are clearly associated to lower levels of introducing process innovations.     

Credit risk transfer and contagion

Some have argued that recent increases in credit risk transfer are desirable because they improve the diversification of risk. Others have suggested that they may be undesirable if they increase the risk of financial crises. Using a model with banking and insurance sectors, we show that credit risk transfer can be beneficial when banks face uniform demand for liquidity. However, when they face idiosyncratic liquidity risk and hedge this risk in an interbank market, credit risk transfer can be detrimental to welfare. It can lead to contagion between the two sectors and increase the risk of crises.     

Resource determinants of strategy and performance: The case of British exporters

This study adopts the RBV of the firm in order to identify critical advantage-generating resources and capabilities with strong positive export strategy and performance implications. The proposed export performance model is tested using a structural equation modelling approach on a sample of 356 British exporters. We examine the individual as well as the concurrent (simultaneous) direct and indirect effects of five resource bundles on export performance. We find that four resources/capabilities: managerial, knowledge, planning, and technology, have a significant positive direct effect on export performance, while relational and physical resources exhibited no unique positive effect. We also find that the firm's export strategy mediates the resource–performance nexus in the case of managerial and knowledge-based resources. The theoretical and methodological grounding of this study contributes to the advancement of export related research by providing better specification of the nature of the effects – direct or indirect – of particular resource factors on export performance.     

Identifying the scope effect on a meta-analysis of biodiversity valuation studies

Insensitivity to scope is an issue of much debate in contingent valuation (CV) even today. Although the literature about insensitivity to scope is abundant, the reasons for it are not yet well known. Through a meta-analysis of CV studies of biodiversity, the treatment of the different possible measures of the quantity of the good is explored in relation to scope sensitivity. Overall, the findings suggest that CV results are sensitive to the amount of the good being valued, although the result depends on how the environmental change is measured. Results support the use of absolute sizes when conducting CV studies.     

Accounting for Spatial Effects in Economic Models of Land Use: Recent Developments and Challenges Ahead

The marked increase in the availability of spatial data has forced researchers engaged in land use modeling to directly confront the question of space and the theoretical and methodological challenges involved in developing spatial models. Advances have come from multiple disciplines, most notably through the development and application of spatial theory and methods from regional science, geography, urban economics and more recently, theoretical and applied econometrics. The main goal of this paper is to summarize the econometric challenges of spatial data and to highlight spatial models and methods with a particular focus on models of land markets and land use change. We also discuss the data and modeling challenges associated with modeling the underlying spatial economic mechanisms that give rise to land use patterns and the complexities involved in modeling land use as a coupled economic-ecological system.     

Optimal Land Development with Endogenous Environmental Amenities

A spatially explicit model of the optimal timing and location of land development is presented that incorporates dynamic interactions between land development and water quality. Ignoring two-way interactions leads to a lower level of water quality, more development, and lower social welfare. The optimal pace and pattern of development can be achieved through the assessment of an impact fee that internalizes pollution damages and irreversibility costs. Our results demonstrate the importance of accounting for the spatial dimension of land use, the interdependence between land use and environmental quality, and development irreversibility in models of urbanization and amenity-driven growth.     

Consumer Expectations for Geographical Origin: Eliciting Willingness to Pay (WTP) Using the Disconfirmation of Expectation Theory (EDT)

ABSTRACT

This study explores the impact of geographical origin in consumer expectations. Willingness to pay (WTP) for geographical origin was measured in three different information conditions (blind, labeled, and both blind and labeled) using an open ended technique of contingent valuation (CV) in the framework of expectations-disconfirmation theory (EDT). The results from the EDT show that a product with a positive reputation and highly preferred by the consumer is losing continuously the premium price paid for it. The decrease of the WTP in full information condition for the most preferred origin is probably due to the lowered consumer expectations and to the damages of the good image as a result of unfair competition, usurpation, and the misappropriation of the name. Geographical indications (GIs) may offer a solution to these problems by preserving the predictive value of origin information, maintaining high consumer expectations, and also preserving the good reputation of the product.     

Applying the counseling-learning approach to a tourism-related massive open online course

ABSTRACT

This study discusses how to apply counseling-learning (CL) principles to a particular e-learning solution for teaching a tourism-related subject via a massive open online course (MOOC). Several effective caring patterns in achieving learning-related goals and being part of a community according to the CL principles are presented and discussed using the MOOC “eTourism: Communication Perspectives” as a case study. The study underlines how the MOOC platform can act as a place for contents enjoinment and active learning. Moreover, the active role of social media for increasing the engagement of learners in the proposed activities and for developing a sense of the community is identified. In particular, Facebook and Twitter can act as places for community building and informal social interactions among learners that last beyond the completion of the course, which in turn can be a valid aid for continuing the relationships among instructors/learners and learners/learners, and for reaching new ones.     

Investigating the moderating effect of information sources on cruise tourist behaviour in a port of call

The aim of the study is to examine how destination knowledge acquired by cruisers through different information sources (online versus others) can moderate destination image formation and the relationship of image–satisfaction–behavioural intentions in a port of call. A multiple group analysis with partial least square method was carried out using data collected from a major tourism destination in Spain: Valencia. The findings revealed knowledge acquired through different information sources is a moderator of the image–satisfaction and satisfaction–behavioural intention relationships. The destination image formation is also significantly different from one group to the other. The findings of this study have a number of practical implications.     

Determinants of Residential Land-Use Conversion and Sprawl at the Rural-Urban Fringe

We estimate a probit model of residential land conversion using parcel-level data from a rural-urban county in Ohio. Spatial landscape pattern metrics are used to quantify land-use patterns and to link patterns of residential sprawl with factors estimated to influence parcel-level land conversion. Findings indicate that the location of new residential development is influenced by preferences for lower density areas that nonetheless are close to existing urban development. Combined, these forces have generated a moderated pattern of residential sprawl. Spatial error autocorrelation is controlled using a spatial sampling technique that enables consistent estimation of the probit model.