The Informational Role of Product Trade‐Ins for Pricing Durable Goods

This research theorizes that sellers of durable goods can utilize inferences about the buyer's willingness to pay based not only on her decision to trade in the old good but also on its characteristics. We find empirical support for this theory using transaction data for new car purchases. The results support the notion that dealers infer a higher willingness to pay and charge higher prices to consumers who trade in a used vehicle than to those who do not. We also find that dealers charge even higher prices to those consumers who trade in used cars that are similar to the new one.     

Technology roadmapping (TRM) and strategic alignment for an applied research centre: a case study with methodological contributions

Technology roadmapping provides a strategic tool to help companies develop an outside‐in view and challenge their current competitive perspectives. In this paper, the authors describe the roadmapping process, which is aligned, with the research and development (R&D) strategy of an applied research centre. This process is based in an adapted combination of state‐of‐the‐art methodologies, and as a result, the case study shows interesting findings in terms of R&D strategy, technology strategy and roadmapping processes and methodology.     

Preferential Rules of Origin and the Multilateral Trading System: Pro-Development Policy Options

With the proliferation of regional trade agreements since the late 1980s and early 1990s, preferential rules of origin have also proliferated. The discussion on these rules has gradually shifted from a purely technical discussion (“how to establish the origin of goods not wholly obtained in one country”, and hence, “how to apply trade preferences in these cases”) to a wider discussion also touching upon the transaction costs caused by having a “spaghetti bowl” of rules, and the actual or presumed neo-protectionist use that is being made of them. In the context of the discussion on possible policy options for developing countries simultaneously involved in (or negotiating) regional and multilateral trade agreements, this article will first give a brief overview of the findings of the recent empirical literature. Some indications are then presented as to what such policy options could look like. This paper was first presented at the Ad-hoc Expert Group Meeting on The Development Interface between the Multilateral Trading System and Regional Trade Agreements, Session III Regulatory Provisions in RTAs, Palais des Nations, Geneva, 15-16 March 2007. It is partly based on P. De Lombaerde, L. J. Garay : Preferential Rules of Origin: EU and NAFTA Regulatory Models and the WTO, in: The Journal of World Investment & Trade, Vol. 6, No. 6, 2005, pp. 953-994; and L. J. Garay, P. De Lombaerde: Preferential Rules of Origin: Models and Levels of Rulemaking, in: S. Woolcock (ed.): Trade and Investment Rulemaking: The Role of Regional and Bilateral Agreements, Tokyo 2006, UNU Press, pp. 78-106.     

The Competencies of Regions – Canada's Clusters in Biotechnology

Knowledge-intensive industries tend to concentrate geographically, because of the many spillovers that they generate. Thus new biotechnology firms often set up in regions that have innovative firms, government laboratories and universities, which attract them to enter. In this paper we unveil some of the characteristics of Canadian clusters in biotechnology: the key regions, their relative importance, and the main firms and government laboratories that attract new entrants. Moreover, we develop the concept of regions as nexus of competencies, a notion already put forward for firms, but that may be relevant to regions within nations and, ultimately, to nations as well. Capabilities of organizations and regions vary, and a thorough study of organizational and regional capabilities should precede the analysis of knowledge spillovers.Toronto is the main center of biotechnology in Canada, followed by Montreal, and Vancouver. The total population of the metropolitan area (a proxy for immediate market size and venture capital) explains the size, location and characteristics of most Canadian clusters. University research is also a key factor explaining the size of the biotechnology clusters, once population is held constant.Within nations, scientific and technical competencies vary strongly among regions. Some regions within countries concentrate a disproportionate share of the capabilities of all developed and developing nations. Moreover, regions tend to concentrate competencies on a few domains of expertise. This is what literature calls "agglomeration effects": companies active in the same field of technology tend to cluster geographically. They do so in order to share a common labor pool, and to obtain ready access to research institutions such as government laboratories and universities, or to key markets and customers, such as large assemblers or government facilities (Feldman et al., 1999). The specialized literature calls these institutions and key markets/customers "entry attractors" (Swan et al., 1998).In many types of science-based industries (SBIs), such as biotechnology, information technology and advanced materials, the major attractors are universities and government laboratories. In a few more mature SBIs, including aerospace and aircraft, large assemblers tend to naturally attract smaller producers of, components and specialized software.In this respect Canada is similar, to other nations (Niosi, 2000). Its competencies cluster around a few large and medium-sized urban agglomerations, such as Toronto, Montreal, Vancouver, Ottawa, Edmonton, and Calgary. Specialized clusters have also developed around smaller cities. This study builds a theory of the competencies of regions using biotechnology as a case study. Government laboratories, as well as universities and a few large firms, attract entry. The goal of the paper is to examine – using quantitative data – the relative competencies of regions in biotechnology, and the role of NRC laboratories and university research.     

Strategic groups in the hospitality industry: Intergroup and intragroup performance differences in Alicante, Spain

The hotel sector is currently immersed in a very uncertain, highly competitive environment, due to which it needs information for the correct management of its establishments. This information can be obtained from the classification of hotels in strategic groups. The present empirical research presents strategic groups in the hospitality industry as a useful tool for the planning and implementation of strategies by hotels that helps to determine their competitive strategies and advantages. This research paper additionally shows how the levels of performance between the hotels belonging to each group can be evaluated from strategic groups. In this study, the tool is applied to the hotel sector of the Spanish province of Alicante, a very important geographical area in the context of international tourism. The dimensions resource commitment and tourist activity scope have been used to define the strategic groups.     

Are complementary reforms a “luxury” for developing countries?

This paper investigates the impact of complementarity reforms on growth and how it depends on GDP per capita. Based on reform data for six policy areas compiled from various sources during the period 1994–2006 for over 100 countries, we compute composite indicators of reform level and complementarity. We provide qualitative justification for the existence of pair-wise complementarities among policy areas. We then use cross-section and panel data estimates to test the effect of reform level and complementarity on GDP per capita growth. We found reforms to be positively related and their dispersion (or the inverse of complementarity) negatively related to growth, controlling for initial conditions, monetary stability and other structural and institutional variables, as well as endogeneity of reform level and complementarity. We show that the effect of policy complementarity is a stronger condition for sustainable growth in developing than in advanced countries, to conclude that complementary reforms are not a ‘luxury’ for developing countries.     

Impacts of technology readiness on emotions and cognition in Brazil

This study proposes and tests an extended model for consumer adoption of high technology products in a Latin American country (Brazil) by integrating concepts present in the consumer behavior literature: the Consumer Acceptance of Technology model (Kulviwat et al., 2007) and the technology readiness construct (Parasuraman, 2000). The proposed model considers the relationships between cognitive and affective constructs with technology readiness. By means of structural equation modeling conducted on a sample of 435 young consumers, the results indicate significant relationships between the constructs assessed, showing that consumers' cognitive and affective evaluations of new technologies are significantly influenced by their technology readiness. The effects of technology readiness over affective assessments were greater than those relative to cognitive evaluations regarding high-tech innovations. Nonetheless, the results may reflect specific characteristics of Brazilian (and other Latin American) consumers, who are usually more emotive than those of more rational cultures.     

Identifying crime generators and spatially overlapping high-risk areas through a nonlinear model: A comparison between three cities of the Valencian region (Spain)

The behavior and spatial distribution of crime events can be explained through the characterization of an area in terms of its demography, socioeconomy, and built environment. In particular, recent studies on the incidence of crime in a city have focused on the identification of features of the built environment (specific places or facilities) that may increase crime risk within a certain radius. However, it is hard to identify environmental characteristics that consistently explain crime occurrence across cities and crime types. This article focuses on the assessment of the effect that certain types of places have on the incidence of property crime, robbery, and vandalism in three cities of the Valencian region (Spain): Alicante, Castellon, and Valencia. A nonlinear effects model is used to identify such places and to construct a risk map over the three cities considering the three crime types under research. The results obtained suggest that there are remarkable differences across cities and crime types in terms of the types of places associated with crime outcomes. The identification of high-risk areas allows verifying that crime is highly concentrated, and also that there is a high level of spatial overlap between the high-risk areas corresponding to different crime types.     

Rethinking the Pfähler–Lambert decomposition to analyse real-world personal income taxes

We provide a generalization and adaptation of the decomposition methodology by Pfähler (Bull Econ Res 42:121–129, 1990) and Lambert (The distribution and redistribution of income, 1st edn, 1989, The distribution and redistribution of income, 3rd edn, 2001), designed to assess the redistributive effect of personal income taxation. In particular, we generalize the methodology to several deductions, allowances, schedules or tax credits, making it suitable for real-world complex tax structures, especially dual income taxes. Additionally, we avoid the problem of sequentiality on the measurement of partial redistributive effects and also take into account the re-ranking effects of tax treatments not related to income. Finally we illustrate the utility of the methodology by carrying out an empirical analysis for the 2007 Spanish Personal Income Tax, which meant a shift from a quasi-comprehensive to a semi-dual income tax.