From Greenwashing to Machinewashing: A Model and Future Directions Derived from Reasoning by Analogy

Journal of Business Ethics - This article proposes a conceptual mapping to outline salient properties and relations that allow for a knowledge transfer from the well-established greenwashing...     

Change within purchasing and supply management organisations – Assessing the claims from maturity models

It is a wide-held assumption that professional development and change within purchasing and supply management (PSM) organisations can be explained and guided by a maturity model. In this paper the guidance which the maturity model concept offers to understand a PSM organisation's performance is assessed. The methodology is based on the outcomes of a literature review of PSM maturity models, development of an organisational change framework and the learning from three qualitative case studies. An alternative understanding of the development of the PSM organisation is offered through an organisational change framework, composing 1) movement transitions, 2) scalability of change, 3) acceptability of change, and 4) the substantive element of change. The research found that extant PSM maturity models are too rigid for PSM managers to apply, and although maturity models are commonly accepted in PSM literature, in practice, they may produce the opposite effect of what is promised. The PSM maturity models suggest that their application will lead to increased status and influence of PSM within the organisation; expectations that may not be met. PSM organisations’ change processes are subjected to a range of situational and contextual power relations which must be considered in order to advance the specific PSM organisation roles and responsibilities.     

Corporate Finance and Sustainability: the Case of the Electric Utility Industry

The electric utility industry is in transition but needs to move even faster if the country is to meet its emissions goals. The industry has historically moved cautiously, but policies and regulatory approaches must avoid unintentionally reinforcing the status quo. Incentive‐oriented policies and redesigned regulations must balance environmental sustainability with economic sustainability. The authors draw on well‐established corporate finance principles to guide more effective policies. Shareholder‐focused utility executives must make investments conditioned by three elements: (1) the return on equity the utility can expect to make on each project; (2) the investors' required return on equity capital for each project; and (3) the size of the investment. The well‐established economic value added (EVA) model can assist policy analysis: V=(r‐k)I; where V is the shareholder value created, r is the return on equity, k is the return investors require if they are to invest in the stock, and I is the scale of the project. Any new incremental V translates into higher stock prices. All three elements of their model (i.e., risk, return, and scale) require attention by regulators and policymakers to create value for shareholders. The authors show how the right state policies could create powerful incentives for shareholder focused utility executives to support such transitions.     

Evaluating an Agricultural Extension Program Aimed at Improving Biodiversity in Alberta,Canada

We evaluate an agricultural extension program aimed at increasing on‐farm biodiversity in Alberta. Using reports prepared for program participants by the extension agency, customized surveys were used to collect data on whether recommended practices were adopted. Data were also collected from producers who were willing but unable to participate in the program due to its unexpected cancellation. A count model compared the number of practices adopted by participants and nonparticipants to evaluate the program's efficacy, and a probit model using participants’ adoption data were used to understand factors affecting adoption. Simple, low‐cost, and easily trialed practices were adopted at high rates, though some higher cost practices associated with observable benefits were also adopted at moderate or high rates. Farm‐specific characteristics, such as size, tenure, or group membership were also significantly linked to the likelihood of adoption. Results suggest that the extension program was successful in encouraging adoption of environmentally beneficial practices with caveats; project completion and quality were not verified, and decreasing marginal returns to extension efforts may have been realized within the small participant pool. Nous évaluons un programme d'éducation permanente en agriculture visant l'augmentation de la biodiversité fermière en Alberta. Utilisant des rapports préparés par les agences d'éducation pour les participants de programmes, des sondages individualisés ont servi à la collecte de données concernant l'adoption de pratiques recommandées. Des données ont aussi été recueillies auprès de producteurs qui auraient voulu participer mais qui n'ont pas profité du programme suivant son annulation inattendue. Un modèle de comptage a servi à comparer le nombre de pratiques adoptées par les participants et non‐participants pour évaluer l'efficacité du programme, et un modèle probit basé sur les données d'adoption par les participants a servi à comprendre les facteurs ayant un impact sur l'adoption. Les pratiques simples, peu coûteuses et faciles à tester ont été hautement adoptées. Certaines pratiques à coûts plus élevés, associées à des avantages observables, ont aussi vu des taux moyens et élevés d'adoption. Les caractéristiques spécifiques aux exploitations agricoles comme la taille, la longévité et l'adhésion à un groupe se sont aussi trouvées liées de façon significative aux probabilités d'adoption. Les résultats suggèrent que le programme d'éducation permanente a réussi à encourager l'adoption de pratiques bénéfiques pour l'environnement avec quelques bémols: la réalisation des projets et leur qualité n'ont pas fait l'objet de vérification, et la diminution des rendements marginaux en fonction des efforts d'éducation pourrait avoir été réalisée dans le cadre d'un petit bassin de participants.     

Data-based mechanistic modelling and forecasting globally averaged surface temperature

The main objective of this paper it to model the dynamic relationship between global averaged measures of Total Radiative Forcing (RTF) and surface temperature, measured by the Global Temperature Anomaly (GTA), and then use this model to forecast the GTA. The analysis utilizes the Data-Based Mechanistic (DBM) approach to the modelling and forecasting where, in this application, the unobserved component model includes a novel hybrid Box-Jenkins stochastic model in which the relationship between RTF and GTA is based on a continuous time transfer function (differential equation) model. This model then provides the basis for short term, inter-annual to decadal, forecasting of the GTA, using a transfer function form of the Kalman Filter, which produces a good prediction of the ‘pause’ or ‘levelling’ in the temperature rise over the period 2000 to 2011. This derives in part from the effects of a quasi-periodic component that is modelled and forecast by a Dynamic Harmonic Regression (DHR) relationship and is shown to be correlated with the Atlantic Multidecadal Oscillation (AMO) index.     

New Zealand secondary technology teachers’ perceptions: “technological” or “technical” thinking?

Technology education in the New Zealand context has seen significant change since it’s inception as a technical subject. The changing nature of the subject in New Zealand secondary schools is influenced by some teachers’ preoccupation with the making of quality product outcomes, rather than their enactment of the curriculum, which conceptualises a wider remit. Research into the perceptions of technology teachers’ interpretation and enactment of the curriculum suggests that to enable change, teachers need to adopt a form of “technological thinking”, in support of their “technical thinking”. Technological thinking is a notion presented to support teachers to explore a range of differing pedagogical approaches and learning outcomes, reflective of the intent of the New Zealand curriculum, which aims to foster learning environments that are innovative and responsive to students’ social and academic needs.     

University – industry collaboration in R&D: the role of labor market rigidity

We investigate how R&D university – industry collaboration (R&D UIC) is influenced by labor market rigidity. While it is well-established that an educated and skilled workforce will facilitate R&D UIC, another aspect of these alliances has been under-researched: the role of labor market rigidity, in particular the difficulties employers face in hiring and firing workers. We hypothesize that the size of the R&D labor pool in a country will encourage R&D UIC, and that the ease with which employers are legally allowed to hire and fire will directly and indirectly influence R&D UIC. Integrating data from various sources, we test our model on a sample of 73 countries for which information on the size of the R&D labor pool and labor market regulations are available. We also conduct a robustness test using a different proxy for R&D labor pool on a larger sample of 109 countries. Results confirm the strong link between a country's R&D labor pool and R&D UIC, as well as direct negative impacts of hiring and firing rigidity and an indirect negative impact of hiring rigidity. The findings have implications for managers, policy makers, and researchers of R&D collaboration between universities and industry.     

A Common Base Answer to the Question “Which Country Is Most Redistributive?”*

We believe that what most authors have in mind when referring to the “most redistributive country” is a tax and transfer schedule that is most redistributive across all pre-tax and transfer income distributions. In order to measure each country's tax and transfer redistribution according to the same baseline, we suggest using the transplant-and-compare method of Dardanoni and Lambert (2002, Journal of Public Economics 86, 99–122) to establish a common base. The redistributive effects of countries’ tax and transfer schedules are illustrated by employing microdata on eight countries from the Luxembourg Income Study (LIS). Of these eight countries, Finland is found to be the most redistributive country, according to the common base method.     

Symposium on Ludwig Von Mises: Nation State and Economy

The Review of Austrian Economics -