Estimating Krugman’s Economic Geography Model for the Spanish Regions

This paper estimates Krugman’s (J Polit Econ 99:413–499, 1991) economic geography model using data from the Spanish NUTS 3 regions. The econometric formalization endogenously determines wages in a region as a function of income and wages in other regions. The specification adopted also allows us to study the relation between the agglomeration of economic activity, increasing returns and market access. The first result obtained is that the Spanish economy exhibits a spatial wage structure: wages in a region are positively determined by income and wages in neighboring regions. In second place it is found support for the structural relations of the underlying theoretical model, indicating the importance of scale economies and transport costs in shaping the Spanish economic geography.     

Multicultural Evaluation of the Performance of Contingent Valuation for Forest Fire Prevention

This article evaluates the ability of contingent valuation to measure the benefits received by several ethnic groups from a prescribed burning forest fire reduction program similar to President Bush's Healthy Forest Initiative. Reasons for refusing to pay higher taxes for the prescribed burning program were not statistically different between African Americans, Hispanics, and whites. Mean willingness to pay of whites was $400, whereas for African Americans it was $505, but the difference is not statistically significant. The results suggest a substantial statewide willingness to pay by whites and African Americans for forest fuel reduction projects using prescribed burning in California. (JEL Q26 , Q23 , J15 )     

Consumption and Portfolio Choice over the Life Cycle

This article solves a realistically calibrated life cycle modelof consumption and portfolio choice with non-tradable laborincome and borrowing constraints. Since labor income substitutesfor riskless asset holdings, the optimal share invested in equitiesis roughly decreasing over life. We compute a measure of theimportance of human capital for investment behavior. We findthat ignoring labor income generates large utility costs, whilethe cost of ignoring only its risk is an order of magnitudesmaller, except when we allow for a disastrous labor incomeshock. Moreover, we study the implications of introducing endogenousborrowing constraints in this incomplete-markets setting.     

Past,present, and future of green product innovation

Firms are under constant pressure from various governmental and nongovernmental agencies to switch from conventional environmentally polluting products to green product innovations (GPIs). However, the relevant research pertaining to GPI has been published in a diverse set of journals that vary in their scope and readership and, therefore, the scholarly contribution to the topic remains largely fragmented. This study has utilised a systematic literature review approach to examine the literary corpus on GPI to paint a holistic picture of its different aspects. The content and thematic analysis of 85 studies resulted in the extraction of seven key research themes: organisational capabilities, organisational learning, institutional pressures, barriers, structural changes, benefits of GPI, and methodological choices. This study's findings further highlight the various gaps in the GPI literature and raise some research questions that warrant scholarly investigation in the future. Likewise, our study has important implications for practitioners who are likely to benefit from a holistic understanding of the different aspects of GPI. Similarly, policymakers can use this study's findings to introduce policy interventions, especially in countries where GPI adoption is low.     

Place attachment,host–tourist interactions,and residents’ attitudes towards tourism development: the case of Boa Vista Island in Cape Verde

A clear understanding of residents’ attitudes towards tourism development and its determinants is a crucial pillar for designing tourism development strategies to promote sustainable development. The literature on the influence of host–tourist interactions and place attachment on residents’ attitudes towards tourism development in developing countries is still scarce. To extend knowledge in this field, this study aims at developing and testing a structural model to examine direct and indirect causal effects of place attachment, host–tourist interaction, and perceived positive and negative tourism impacts on the residents’ attitudes towards tourism development in an island tourism destination – Boa Vista Island in Cape Verde. Results suggest that the residents’ attitudes are positively affected by place attachment, host–tourist interaction, and perceived positive impacts; and negatively affected by perceived negative impacts. Host–tourist interaction emerges as the strongest (direct and indirect) determinant of the residents’ attitudes towards tourism development. Moreover, although both positive and negative perceptions of tourism impacts have significant impacts on the residents’ attitudes, the influence of the former is stronger than that of the latter. The paper ends with relevant theoretical and practical implications to promote positive residents’ attitudes towards tourism development in Boa Vista.     

Extreme Value Theory and Statistics of Univariate Extremes: A Review

Statistical issues arising in modelling univariate extremes of a random sample have been successfully used in the most diverse fields, such as biometrics, finance, insurance and risk theory. Statistics of univariate extremes (SUE), the subject to be dealt with in this review paper, has recently faced a huge development, partially because rare events can have catastrophic consequences for human activities, through their impact on the natural and constructed environments. In the last decades, there has been a shift from the area of parametric SUE, based on probabilistic asymptotic results in extreme value theory, towards semi‐parametric approaches. After a brief reference to Gumbel's block methodology and more recent improvements in the parametric framework, we present an overview of the developments on the estimation of parameters of extreme events and on the testing of extreme value conditions under a semi‐parametric framework. We further discuss a few challenging topics in the area of SUE. © 2014 The Authors. International Statistical Review © 2014 International Statistical Institute     

Asymptotic comparison at optimal levels of reduced‐bias extreme value index estimators

In this article we are interested in the asymptotic comparison, at optimal levels, of a set of semi‐parametric reduced‐bias extreme value (EV) index estimators, valid for a wide class of heavy‐tailed models, underlying the available data. Again, as in the classical case, there is not any estimator that can always dominate the alternatives, but interesting clear‐cut patterns are found. Consequently, and in practice, a suitable choice of a set of EV index estimators will jointly enable us to better estimate the EV index γ, the primary parameter of extreme events.     

Capital services estimates in Portuguese industries, 1977–2003

This paper presents capital services estimates for 26 Portuguese industries for the 1977–2003 period. The estimation procedure follows an integrated approach under which the flows of capital services are approximated as a proportion of the capital stock converted into standard efficiency units. Our findings suggest a close proximity between the evolution of capital flows and the observed fluctuations of Portuguese macroeconomic growth. TFP growth estimates based on growth accounting reveal, furthermore, a very disappointing performance of the Portuguese economy during the period under study, with an average annual rate of TFP growth of 0.8% being observed. Performance varies across industries, but the bulk of activities show very modest rates of TFP growth.     

Design principles of hybrid approaches in new product development: a systematic literature review

Setting the right approach for new product development (NPD) in the presence of uncertainty remains an ongoing debate in innovation management. Stage-gate systems (SGS) and agile methodology (AM) are the dominant approaches. Recently, hybrid approaches (combining SGS and AM) have been proposed. Although these hybrid approaches represent a significant development in NPD, combining them without considering their design principles might lead to contradictory and competing conceptual formulations, thus increasing the difficulty of comparison among studies. Moreover, scholars and practitioners may struggle to understand when, why and how a certain configuration of the NPD process provides the right response to different manifestations of uncertainty. The current literature faces problems regarding the clarity of design principles (e.g. flexibility and adaptability), and this has led to research gaps concerning the uncertainty contingency and outcomes of hybrid approaches. This study combines bibliometric and content analyses to identify four design parameters and principles of NPD hybrid approaches: flexibility, adaptability, velocity and integration. Our findings might help advance the development and comparison of different hybrid approaches.