Scientific Ambiguity and Climate Policy

Economic evaluation of climate policy traditionally treats uncertainty by appealing to expected utility theory. Yet our knowledge of the impacts of climate policy may not be of sufficient quality to be described by unique probabilistic beliefs. In such circumstances, it has been argued that the axioms of expected utility theory may not be the correct standard of rationality. By contrast, several axiomatic frameworks have recently been proposed that account for ambiguous knowledge. In this paper, we apply static and dynamic versions of a smooth ambiguity model to climate mitigation policy. We obtain a general result on the comparative statics of optimal abatement and ambiguity aversion, and then extend our analysis to a more realistic, dynamic setting, where we introduce scientific ambiguity into the well-known DICE model of the climate-economy system. For policy-relevant exogenous mitigation policies, we show that the value of emissions abatement increases as ambiguity aversion increases, and that this ‘ambiguity premium’ can in some plausible cases be very large. In these cases the effect of ambiguity aversion on welfare is comparable to that of other much studied welfare parameters. Thus ambiguity aversion may be an important neglected aspect of climate change economics, and seems likely to provide another argument for strong abatement policy.     

A cross-country analysis of consumption patterns

This paper uses the system-wide approach to analyse the consumption patterns in 18 OECD countries. The results show that, on average, the OECD per capita consumption increased by 3% per annum and prices increased by about 7% per annum; OECD consumers spend about half of their income on food, housing and transport. It is also shown that, in most OECD countries, food, housing and medical care are necessities and clothing, durables, transport and recreation are luxuries, and that the demand for all goods considered are price inelastic. The controversial hypothesis of Stigler and Becker (1977) that tastes are the same across countries is also tested and it is found that the OECD consumption data do not support their claim.     

Technology flows between sectors and their impact on large-scale firms

In this article we highlight the importance of technology flows between sectors and their impact on the labour productivity of large-scale corporations. Based on theoretical considerations, we explore technological spillovers between the sectors of an economy. Large-scale corporations usually focus on certain sectors but make use of a wide range of technological knowledge from other sectors. Thereby, technological knowledge built up in sectors by continuous R&D activities does not spill over without bounds but is directed by firms’ absorptive capacities. We use firms’ patent portfolio to empirically calculate the sector affiliation and therewith the firms’ absorptive capacities in order to estimate the impact of technology diffusion on labour productivity. Fortune 500 firms serve as data base.     

Help or Hindrance? Causal Ambiguity and Supplier Involvement in New Product Development Teams

Suppliers are increasingly being involved in interorganizational new product development (NPD) teams. Successful management of this involvement is critical both to the performance of the new product and to meeting the project's goals. Yet the transfer of knowledge between buyer and supplier may be subject to varying degrees of causal ambiguity, potentially limiting the effect of supplier involvement on performance. Understanding the dynamics of causal ambiguity within interorganizational product development is thus an important unanswered empirical question. A theoretical model is developed exploring the effect of supplier involvement practices (supplier involvement orientation, relationship commitment, and involvement depth) on the level of causal ambiguity experienced within interorganizational NPD teams, and the subsequent impact on time to competitor imitation, new product advantage, and project performance. The model also serves as a test of the paradox that causal ambiguity both inhibits imitation by competitors, but adversely affects organizational outcomes. Survey data collected from 119 research and development‐intensive manufacturing firms in the United Kingdom largely support these hypotheses. Results from structural equation modeling show that supplier involvement orientation and long‐term relationship commitment lower causal ambiguity within interorganizational NPD teams. The results also shed light on the causal ambiguity paradox showing that causal ambiguity during interorganizational NPD decreases both product and project performance, but has no significant effect on time to competitor imitation. Instead, competitor imitation is delayed by the extent to which the firm develops a new product advantage within the market. A product development strategy based upon maintaining interfirm causal ambiguity to delay competitor imitation is thus unlikely to result in a sustainable competitive advantage. Instead, managers are encouraged to undertake supplier involvement practices aimed at minimizing the level of knowledge ambiguity in the NPD project, and in doing so, improve product and project‐related performance.     

Scaling for Residual Variance Components of Ordered Category Responses in Generalised Linear Mixed Multilevel Models

A method is proposed that enables changes in variance components to be computed from the results of fitting ordered response generalised models with multilevel and random effects. This deals with the rescaling of the response that occurs as we add new features to a developing model.     

Net Greenhouse Gas Emissions and the Economics of Annual Crop Management Systems

The aim of this study was to evaluate the relative economic profitability and net greenhouse gas (GHG) abatement potential of alternative tillage and cropping systems. A simulation model was parameterized using biophysical and economic data representing different crop rotations under conventional, minimum, and zero tillage cropping systems, in the Black soil zone of Saskatchewan. This model was used to estimate the relative potential of each of the management practices to sequester carbon and to emit GHG including, nitrous oxide and carbon dioxide. The model also provided estimates of the relative profitability of each of the management practices over time horizons of 30 years. These simulation results were used to develop trade-off functions reflecting net income and net GHG abatement for each cropping system. An income risk measure was incorporated to facilitate an analysis of the relative economic attractiveness of the simulated cropping systems. Furthermore, sensitivity analysis was performed on nitrous oxide emission coefficients (an area of significant uncertainty in the literature) and on weather patterns to reflect uncertain future climate change impacts. Results indicated that net GHG emissions were relatively lower for reduced tillage management, while conventional tillage may be relatively more attractive from an economic perspective. However, results also indicated that such economic factors as risk and economies of size may have a significant influence on this latter result.     

An Empirical Taxonomy of Supply Chain Management Practices

We develop an empirical taxonomy of supply chain management (SCM) practices grounded in the capability‐based view. Three groups—transactional SCM, translational SCM, and relational SCM—were identified using cluster analysis of data collected from over 200 U.S. manufacturing firms. We explain the differences among these groups and their relationship to improvements in supplier and buyer performance. Finally, we discuss implications for research and practice in SCM.     

Use of opioid substitution therapies in the treatment of opioid use disorder: results of a UK cost-effectiveness modelling study

Aims: This study investigated the cost-effectiveness of buprenorphine maintenance treatment (BMT) and methadone maintenance treatment (MMT) vs no opioid substitution therapy (OST) for the treatment of opioid use disorder, from the UK National Health Service (NHS)/personal social services (PSS) and societal perspectives over 1 year.

Methods: Cost-effectiveness of OST vs no OST was evaluated by first replicating and then expanding an existing UK health technology assessment model. The expanded model included the impact of OST on infection rates of human immunodeficiency virus (HIV) and hepatitis C virus (HCV) infection.

Results: Versus no OST, incremental cost-effectiveness ratios (ICERs) for BMT and MMT were £13,923 and £14,206 per quality-adjusted life year (QALY), respectively, from a NHS/PSS perspective. When total costs (NHS/PSS and societal) are considered, there are substantial savings associated with adopting OST; these savings are in excess of £14,032 for BMT vs no OST and £17,174 for MMT vs no OST over 1 year. This is primarily driven by a reduction in victim costs. OST treatment also impacted other aspects of criminality and healthcare resource use.

Limitations: The model’s 1-year timeframe means long-term costs and benefits, and the influence of changes over time are not captured.

Conclusions: OST can be considered cost-effective vs no OST from the UK NHS/PSS perspective, with a cost per QALY well below the UK’s willingness-to-pay threshold. There were only small differences between BMT and MMT. The availability of two or more cost-effective options is beneficial to retaining patients in OST programs. From a societal perspective, OST is estimated to save over £14,032 and £17,174 per year for BMT and MMT vs no OST, respectively, due to savings in victim costs. Further work is required to fully quantify the clinical and health economic impacts of different OST formulations and their societal impact over the long-term.