The efficiency of decentralized environmental policies under global pollution and tradable emission permits

We build a two asymmetric regions model with cross‐border pollution related to production. Each region issues emission permits and revenues from their sales finance public pollution abatement. The decentralized level of emission permits is efficient when permits are interregionally tradable and cross‐border pollution is perfect. This result is robust in a variety of cases—for example, when (i) capital is immobile or internationally mobile or only mobile between the two regions, and (ii) revenue from permits sales is transferred to a federal authority.     

The Early Careers Of Engineers And The Accumulation Of Skills In The Canadian Economy

In this paper we use world cycling records to study the pattern of technological development of the track bicycle. We find that there is a strong evidence of ‘contagious’ effects among cycling records which in turn provides indirect evidence of ‘contagious’ effects among technological innovations. Interestingly, the ‘contagiousness’ of records is not a salient characteristic of track and field competitions where, arguably, technology plays a smaller role.     

Does the digital divide matter? The role of information and communication technology in cross-country level and growth estimates

The bulk of information and communication technology is made of weightless, implementable, and infinitely reproducible knowledge products (such as software and databases). These products are transferred by telephone lines, accessed through internet hosts, and processed through personal computers. In this work, the coefficient of the labour augmenting factor in the aggregate production function has been estimated using proxies of variables crucially affecting the diffusion of (non-rival and almost non-excludable) knowledge products. This specification provides interesting answers to some of the open issues in the existing growth literature. The most recent information, though available for a limited period, shows that telephone lines, personal computers, mobile phones, and internet hosts significantly affect levels and growth of income per worker across countries. The result is robust to changes in sample composition, econometric specification, and estimation approach.     

Volatility forecasts and at-the-money implied volatility: a multi-component ARCH approach and its relation to market models

This article explores the relationships between several forecasts for the volatility built from multi-scale linear ARCH processes, and linear market models for the forward variance. This shows that the structures of the forecast equations are identical, but with different dependencies on the forecast horizon. The process equations for the forward variance are induced by the process equations for an ARCH model, but postulated in a market model. In the ARCH case, they are different from the usual diffusive type. The conceptual differences between both approaches and their implication for volatility forecasts are analysed. The volatility forecast is compared with the realized volatility (the volatility that will occur between date t and t + ΔT), and the implied volatility (corresponding to an at-the-money option with expiry at t + ΔT). For the ARCH forecasts, the parameters are set a priori. An empirical analysis across multiple time horizons ΔT shows that a forecast provided by an I-GARCH(1) process (one time scale) does not capture correctly the dynamics of the realized volatility. An I-GARCH(2) process (two time scales, similar to GARCH(1,1)) is better, while a long-memory LM-ARCH process (multiple time scales) replicates correctly the dynamics of the implied and realized volatilities and delivers consistently good forecasts for the realized volatility.     

Boundary spanner turnover in professional services: Exploring the outcomes of client retention strategies

Abstract

Studies suggest that the termination of the interpersonal relationship between boundary spanners at buyer and seller firms can have a damaging effect on the inter organisational relationship. Few studies have addressed this issue in detail, but those that do, advise supplier firms to implement strategies such as service teams and boundary spanner rotation to lessen the negative effects of boundary spanner turnover. By creating multiple bonds between the two firms, dispersing client-specific knowledge widely throughout the supplier firm, and preventing the development of a close bond between buyer and seller boundary spanners, individual interpersonal relationships become less important. However, a review of relationship literature on trust, commitment, social bonds, and knowledge suggests the potential for negative outcomes from the implementation of the strategies. Using case studies and one-to-one interviews with design buyers and their agencies, this paper explores the outcomes of the two strategies, and the contexts in which these outcomes occur. Adopting a critical realist approach, findings are presented in the form of context–mechanism–outcome models. Agency size, agency culture, client experience, and boundary-spanner autonomy are amongst the contexts that influence the outcome of strategy implementation.     

Pollution, Capital Mobility and Tax Policies with Unemployment

In this paper we highlight aspects related to the links among unemployment, international capital mobility, and tax policies in a small open developing economy. Without international capital mobility, the joint optimal trade and environmental policies require a zero tariff and an emission tax lower than the Pigouvian tax. With international capital mobility and a capital tax (subsidy), the optimal emission tax rate is smaller (larger) compared to the rate when capital is untaxed. When both the emission tax and the capital tax/subsidy are jointly chosen optimally, then the optimal policy on capital is a lower subsidy, or even a tax, compared to the standard capital subsidy of the no pollution case.     

Mentoring received by protégés: its relation to personality and mental ability in the Anglo-Saxon organizational environment

Dispositional characteristics, including personality and mental ability, play a substantial role in interpersonal relationships. However, their connection with mentoring, which is a form of interpersonal relationship, has received limited attention. The study empirically investigated the association of mentoring received with the Big-Five of personality and general mental ability in the Anglo-Saxon organizational environment. Furthermore, it integrated the relationship between dispositional traits, mentoring received and career success in a causal path model. Analysis of data collected from 272 white-collar workers suggested no relationships of logarithmic form between mentoring received and personality traits or general mental ability. Hierarchical linear regression indicated that scores on openness and agreeableness made significant contributions to scores on mentoring received over and above the contributions of the demographics and human capital controls. Causal path modelling suggested that the total effects of openness and agreeableness on extrinsic career success were negative while the corresponding effects on intrinsic career success were positive; largely due to the fact that the benefits of mentoring received were stronger for intrinsic than for extrinsic career success. The results were discussed with respect to their contribution to our understanding of the development of mentoring relationships, and their implications for practice and research across national cultural contexts.     

Smoothing and Benchmarking for Small Area Estimation

Small area estimation is concerned with methodology for estimating population parameters associated with a geographic area defined by a cross-classification that may also include non-geographic dimensions. In this paper, we develop constrained estimation methods for small area problems: those requiring smoothness with respect to similarity across areas, such as geographic proximity or clustering by covariates, and benchmarking constraints, requiring weighted means of estimates to agree across levels of aggregation. We develop methods for constrained estimation decision theoretically and discuss their geometric interpretation. The constrained estimators are the solutions to tractable optimisation problems and have closed-form solutions. Mean squared errors of the constrained estimators are calculated via bootstrapping. Our approach assumes the Bayes estimator exists and is applicable to any proposed model. In addition, we give special cases of our techniques under certain distributional assumptions. We illustrate the proposed methodology using web-scraped data on Berlin rents aggregated over areas to ensure privacy.