HOUSEHOLDS’ BEHAVIOUR AND ENVIRONMENTAL EMISSIONS IN A REGIONAL ECONOMY

Households have significant demand-side potential to drive reductions in atmospheric emissions, including both direct and indirect emissions. Our analysis focuses on the behaviour of a regional economy (Aragon, Spain) and its impact on greenhouse gases (GHG) and sulphur dioxide (SO₂). Using a CGE model, we simulate scenarios and evaluate the environmental impact of adopting changes considered in the Aragonese Climate Change and Clean Energy Strategy. Specifically, we analyse the impact of electricity savings and the promotion of public transport (bus or train) versus private car use. The results indicate that 1 MWh of saving in electricity consumption by households could reduce emissions of GHG by 0.112 kt of equivalent CO₂ and 8.209 kg of SO₂ with a shift in demand preferences and 0.022 kt of equivalent CO₂ and 7.612 kg of SO₂ with an efficiency improvement. Moreover, household changes in demand preferences regarding private/public transport, also contribute to reduce emissions.     

A DEA approach to assess the efficiency of radiata pine logs to produce New Zealand structural grades

An efficiency analysis revealed the relative magnitude of wood traits that distinguishes efficient radiata pine logs to produce New Zealand structural grades. Technical and cost efficiencies were obtained by using data envelopment analysis (DEA). Wood trait prices used to perform the cost efficiency corresponded to economic weights derived from a partial regression. These values were 1.1, 29.7, 0.3 and ?0.4 NZ $/m³ for small end diameter (cm), stiffness (GPa), basic density (kg/m³) and largest branch (mm) respectively. The most efficient logs were those with the highest difference between recovery value and price. There were positive and significant correlations between technical efficiency and wood stiffness (0.46, p < 0.05) and between cost efficiency and log recovery value (0.85, p < 0.05). The most efficient logs had a ratio of 1:4 between stiffness and small end diameter whereas logs that did not generate structural lumber presented ratios close to 1:8. This information will inform the development of breeding objectives, and help segregating and pricing logs by using traits patterns that result in efficient logs for the production of structural wood.     

Designing a Predictive Performance Measurement and Control System to Maximize Customer Relationship Management Success

Customer Relationship Management (CRM) performance measurement is reviewed with two main intentions: (a) to encourage theoretical and empirical research and (b) to provide a useful predictive measurement system that is easy to implement. Special emphasis is placed on Balanced Scorecard methodologies as measurement systems to both evaluate and predict CRM performance. The use of a Balanced Scorecard (BSC) methodology to design CRM predictive performance measurement and control systems (PMCS) may provide several benefits to firms since (a) it reduces the risk and the uncertainty associated with the decision-making processes related to a CRM strategy and (b) it provides a strategic resource to the development of competitive advantages. The article concludes by proposing an holistic measuring system in the CRM field, including accountable, leading, repeatable, and linked metrics over the following areas and dimensions: strategy (business orientation, business atmosphere, and competitive strategy); resources (financial, human, and technological), business processes (integration and innovation); products and services (superiority and product/company synergy), customers (prospective and current); and external factors (competition and market).     

Growth,Diversification, and Business Group Formation in Entrepreneurial Firms

Recent empirical research has demonstrated that the growth process of entrepreneurial firms is frequently achieved through the formation of business groups: i.e. a set of companies run by the same entrepreneur (or entrepreneurial team). This has been hypothesised as result of a growth process by diversification of the original activity. This entrepreneurial growth process offers an alternative explanation for the formation of business Groups, than that arising from managerial efficiency and expediency. The main aim of the article is to explore group formation through entrepreneurial diversification using a sample of high growth entrepreneurial firms. The analysis demonstrates that the running of a group of companies by the same entrepreneur is not only induced by the geographical extension of their operation and by diversification but also by the differentiation policy aimed at serving different market segments within the same sector. This seems to contrast with the diversification policy and organisational setting of large, managerial firms     

Advances in random utility models report of the workshop on advances in random utility models duke invitational symposium on choice modeling behavior

In recent years, major advances have taken place in three areas of random utility modeling: (1) semiparametric estimation, (2) computational methods for multinomial probit models, and (3) computational methods for Bayesian estimation. This paper summarizes these developments and discusses their implications for practice.     

Metatheoretical foundations for post-normal risk

The first goal of this paper is to sketch a three-part, synoptic framework that could ease the way beyond the current impasse of competition among the various metatheoretical orientations (e.g. realism vs. social constructivism, positivism vs. cultural theory, etc.) in the risk field. The framework will be constructed on a foundation of metatheoretical principles and its form will accommodate the best features of the competing orientations. Because the articulated principles will build first on a position of realism, we can refer to the framework as a whole as Reconstructed Realism (RR). Because the content of the framework comprises its first two key parts, ontological realism and epistemological hierarchicalism , we can refer to the content by the acronym OREH. The second goal of the paper is to epistemically connect the synoptic framework, RR, to a methodological framework for conducting risk analysis, thereby providing a bridge between theory and practice. The existing methodological framework that bears logical symmetry to RR is the one developed by Funtowicz and Ravetz in a suite of papers (1985; 1991; 1992; 1993; 1994) and which they call 'post-normal science'. Connecting RR- the synoptic framework under development- with postnormal science completes the third part of the framework, and the resulting product is properly labelled 'post-normal risk.' Our life of fishing is so perilous that even though we worship all the gods in the world, many of us still die untimely deaths. Noriko Ogiwara, Dragon Sword and Wind Child     

The Impact of Director Reputation and Performance on the Turnover and Board Seats of Target Firm Directors

Abstract:  This study examines factors that explain the turnover and board seats held by target firm directors post-takeover. Following successful takeovers the proportion of the board replaced is lower when the target has better performance. In failed takeovers, executive directors have lower turnover and the rate of turnover is reduced after a hostile takeover. Inconsistent with ex-post settling-up, actions that advance target shareholder wealth during the takeover does not assist a director obtain an increase in future board seats. Confirming a reputation effect, directors with multiple directorships have a lower rate of turnover and a higher increase in future board seats.