Making sustainable sourcing decisions: practical evidence from the automotive industry

Achieving environmental and sustainable performance within an organisation’s supply chain and manufacturing operations will be feasible if upstream supply partners have the same commitments in performing their operations in a sustainable manner. Given the debate above, we propose a comprehensive framework to address the sustainable supplier selection and order allocation (SSS&OA) problem. The framework developed is practical, that starts by using an audition check-list specific for each sustainability dimension (environmental, economic and social), from which the weighted values of its comprised criteria are obtained. The weighted scores of the selected sustainable suppliers are utilised by a proposed bi-objective order allocation model in order to make sourcing decisions. The strength of the proposed framework is its practical applicability to provide a solution for SSS&OA problems which is validated through a real-world application. Finally, research findings, theoretical and managerial insights and also directions for additional research are presented.     

Patent Breadth, Patent Life, and the Pace of Technological Progress

In active investment climates where firms sequentially improve each other's products, a patent can terminate either because it expires or because a non-infringing innovation displaces its product in the market. We define the length of time until one of these happens as the effective patent life, and show how it depends on patent breadth. We distinguish lagging breadth, which protects against imitation, from leading breadth, which protects against new improved products. We compare two types of patent policy with leading breadth: (1) patents are finite but very broad, so that the effective life of a patent coincides with its statutory life, and (2) patents are long but narrow, so that the effective life of a patent ends when a better product replaces it. The former policy improves the diffusion of new products, but the latter has lower R&D costs.     

Statistical Inference,Learning and Models in Big Data

The need for new methods to deal with big data is a common theme in most scientific fields, although its definition tends to vary with the context. Statistical ideas are an essential part of this, and as a partial response, a thematic program on statistical inference, learning and models in big data was held in 2015 in Canada, under the general direction of the Canadian Statistical Sciences Institute, with major funding from, and most activities located at, the Fields Institute for Research in Mathematical Sciences. This paper gives an overview of the topics covered, describing challenges and strategies that seem common to many different areas of application and including some examples of applications to make these challenges and strategies more concrete.     

Measuring progress in agricultural sustainability to support policy-making

The concept of sustainability is one of the forefront issues in discussions of the challenges facing global agriculture, given the mounting pressure to increase food production in both socially responsible and environmentally friendly ways. From the perspective of Irish agriculture, sustainable intensification is of particular relevance, given ambitious targets to increase milk production in the context of European Union (EU) milk quota removal in 2015. A series of farm-level sustainability indicators are developed here using the Teagasc National Farm Survey FADN (Farm Accountancy Data Network) data for Ireland from 2012. Three dimensions, reflecting the multifaceted nature of sustainability (environmental, economic and social) are considered. Given the environmental challenges inherent in the sustainable intensification of agriculture, it is encouraging to observe that the more intensive, top performing farms (in an economic sense) emit relatively less greenhouse gases when compared to their less intensive counterparts. Conversely, the better performing farms in economic terms tend to have a higher nitrogen surplus per hectare on average. This is consistent with their higher rates of production intensity, but poses a challenge in terms of sustainable intensification and expansion. That said this analysis demonstrates that the nitrogen use efficiency of milk production is positively correlated with economic performance, with more intensive farms producing relatively more milk per kilogram of nitrogen surplus. From the perspective of social sustainability, demographic traits also tend to be positively correlated with economic performance. Given a growing recognition of the need for interconnected policy in the area of sustainability, this research should help inform policy debates and provides a guide for the undertaking of similar assessments elsewhere.     

Recreational demand for farm commonage in Ireland: A contingent valuation assessment

This paper measures willingness to pay (WTP) for public access and trail improvements on commonage farmland for recreational walking in upland and lowland areas of Connemara region in the West of Ireland using the contingent valuation method (CVM). Common to both upland and lowland commonage sites was the much higher ranking for infrastructural features by those WTP for scenario implementation compared to those preferring the status quo. Results for those expressing a positive WTP reveal a median willingness to pay (MWTP) for formal access with improved trail infrastructure of €12.22 for the lowlands compared with €9.08 for the uplands.     

Contract costing in outsourcing enterprises: Exploring the benefits of discrete-event simulation

Outsourcing is a business strategy that has received much attention. An increase in outsourcing has a direct influence on the complexity of supply chain networks and on the number of contracts required to manage a supply chain. Outsourcing contracts may be entered into relatively quickly without a full understanding of the true cost implications. The research described here aims to develop tools based on discrete-event simulation to aid outsourcing companies when costing contracts. Currently available software for this type of application is reviewed. A field study is presented from the electronics sector, describing companies’ needs with respect to contract costing and how simulation could be used in the contract costing process. Simulation approaches are described for different contract costing scenarios. The paper concludes with a case study of a preliminary simulation model that has been developed to test the concept with a specific outsourcing scenario.     

Are Production Decisions Decoupled under a Bond Scheme? Experimental Evidence

Experimental economics procedures were used to investigate impacts of a proposed bond scheme on production decisions. As expected, production with subsidy payments tied to a support price was substantially higher than with no policy. A shift from the support price to equivalent annual or lump-sum payments not tied to price resulted in production at or near no-policy levels, providing empirical evidence to support the theoretical prediction that bond schemes would not result in production distortions. Potential extensions to the basic model used in this study also are presented.     

The construction of a firm's governance structure in a setting of uncertainty

Why does the firm look the way it does? Why does it have the structures it has? In particular, what is the function of the board of directors? Many papers have tried, and failed, to link the board's structure to the performance of the firm. Might the board have an alternative rationale for existence? In this paper, I explore the possibility of the board being used as a signaling device. The management, having information about the state of the world the investor does not, constructs a signal (the board of directors) to promote efficiency in an uncertain world. The construction of the board signals the state of the world to the investor, reducing the uncertainty, and thereby attracting necessary capital to the firm. I then examine the size of the signal with respect to other key firm characteristics. I find that the size of the signal diminishes as investors become more concentrated. Copyright © 2004 John Wiley & Sons, Ltd.     

Modelling the Distributional Impact of the COVID-19 Crisis*

The COVID-19 emergency has had a dramatic impact on market incomes and income-support policies. The lack of timely available data constrains the estimation of the scale and direction of recent changes in the income distribution, which in turn constrains policymakers seeking to monitor such developments. We overcome the lack of data by proposing a dynamic calibrated microsimulation approach to generate counterfactual income distributions as a function of more timely external data than are available in dated income surveys. We combine nowcasting methods using publicly available data and a household income generation model to perform the first calibrated simulation based upon actual data, aiming to assess the distributional implications of the COVID-19 crisis in Ireland. Overall, we find that the crisis had an equalizing real-time effect for both gross and disposable incomes, notwithstanding the significant hardship experienced by many households.