AN ANALYSIS OF MANAGEMENT AGREEMENT BARGAINING UNDER ASYMMETRIC INFORMATION

This paper provides a game theoretic analysis of Management Agreements under asymmetric information. A simple two-period game is employed to represent the Coasian bargaining process which takes place between the farmer and English Nature over the introduction of a Management Agreement. The analysis shows that if the farmer possesses an information advantage and wishes to exploit it to gain an economic rent from the bargaining process, inefficient outcomes are possible. The implications of the analysis for the continued reliance upon voluntarism and Management Agreements for the protection of Sites of Special Scientific Interest are considered.     

Between Neo-Liberalism and the Social Market: Approaches to Debt Adjustment and Consumer Insolvency in the EU

Many EU countries introduced debt adjustment systems as a response to the growth of over-indebtedness since the 1980s. These systems, originally introduced in many countries as crisis measures, have now become normalized, metamorphosing through a continuing learning process into a combination of debt adjustment and insolvency relief through a discharge of debt, sometimes after only 1?year, but often after a debt repayment plan over a period of 3–7?years. Since the early 2000s, new Member States of the EU have also introduced insolvency systems, often based on models from the old states. This paper examines experience in European consumer insolvency systems, based on the modest empirical studies of existing systems, primarily England, France and Germany. It discusses the reasons for the use of consumer insolvency, and the limited data on the characteristics of users, charts distinct national approaches and outlines common themes and objectives for consumer insolvency in the context of EU measures to create an integrated credit market in a “competitive social market. To economy”. It concludes by underlining the absence of systematic social science knowledge on existing systems and outlines areas for further research.     

Real Geographies,Real Economies and Soft Spatial Imaginaries: Creating a ‘More than Manchester’ Region

This article develops a framework for analysing region‐building processes as spatiotemporal constructs, involving competing spatial imaginaries and attempts at consolidating these through institution building. Central here is the performative role of what we refer to as ‘soft space imaginaries’ in the ‘phased’ building of regions for planning and economic development over time. We demonstrate how this understanding can be used to examine the phased enactment of successive waves of region‐building by tracing the evolution of multiple soft spatial imaginaries in north‐west England. The analysis exposes the variable logics, alliances of actors, and tactics used to build momentum and secure legitimacy around preferred imaginaries which advocates often promoted on the grounds that they somehow reflected ‘real geographies’ or ‘real economies’. In this context, soft space imaginaries are seen to play an integral role in intellectual case making about the contemporaneous form and purpose of subnational governance. Yet our analysis also exposes the durability of past soft space imaginaries and their continued impact on efforts to build new soft spaces. What emerges is an understanding of soft space imaginaries as more than just superficial representations. They can help determine where government investment is channelled and into what kinds of policies.     

Consumer willingness to pay for in-flight service and comfort levels: A choice experiment

In the competitive aviation market as a result of the emergence of low cost carriers, charter airlines have had to reconsider their approach to service provision. Specifically, the reduction in service and comfort levels offered by the low cost airlines provides charter carriers with an opportunity to differentiate their product based on the quality of the offering. To consider this strategic option we employ an on-line choice experiment to examine consumer choices with respect to the bundle of services on offer when deciding to purchase a flight. With these data we use the Bayesian methods to estimate a mixed logit specification. Our results reveal that in principle passengers are willing to pay a relatively large amount for enhanced service quality.     

Bayesian model averaging and identification of structural breaks in time series

Bayesian Model Averaging (BMA) is used for testing for multiple break points in univariate series using conjugate normal-gamma priors. This approach can test for the number of structural breaks and produce posterior probabilities for a break at each point in time. Results are averaged over specifications including: stationary; stationary around trend and unit root models, each containing different types and number of breaks and different lag lengths. The procedures are used to test for structural breaks on 14 annual macroeconomic series and 11 natural resource price series. The results indicate that there are structural breaks in all of the natural resource series and most of the macroeconomic series. Many of the series had multiple breaks. Our findings regarding the existence of unit roots, having allowed for structural breaks in the data, are largely consistent with previous work.     

Nutritional labelling information: Utilisation of new technologies

Abstract

The increase in food-related diseases in society has led to a variety of public policy and private sector initiatives, such as the use of nutritional labels. Although nutritional labels have been shown to be broadly effective in terms of informing food choice, their influence is moderated by a variety of factors, such as how information is conveyed and processed by consumers. Recent advances in technology might overcome these limitations. Using a choice experiment, this paper examines consumer preferences for alternative technological devices that may aid consumer processing of nutritional information on food packaging. The results show which attributes of the technology consumers prefer, and identifies three distinct segments of consumers (‘information hungry innovators’, ‘active label readers’, and ‘onlookers’), and differences between them in relation to their preferences, demographics, and psychographic characteristics. The identification of segments is a novel aspect of this research, and highlights the importance of finding more customised solutions to the communication of nutritional information – an issue to which technology can contribute.     

CHINA'S EQUILIBRIUM REAL EXCHANGE RATE: A COUNTERFACTUAL ANALYSIS

Abstract.  China's 'equilibrium' real effective exchange rate is explored using an adaptation of the Devarajan-Lewis-Robinson three-good general equilibrium model under a variety of assumptions about the balance of trade. The absence of secondary indices of import and export prices necessitates their construction from trade data. Some undervaluation is suggested in the lead-up to and during the financial crisis, due in part to an extraordinary accumulation of foreign reserves following exchange rate integration in 1994. If, instead, China had run a more typical trade balance prior to the crisis its real effective exchange rate would have been higher by about a tenth.     

Assessing greenhouse gas emissions from electric vehicle operation in Australia using temporal vehicle charging and electricity emission characteristics

ABSTRACT

Significant interest exists in the potential for electric vehicles (EVs) to be a source of greenhouse gas (GHG) abatement. In order to establish the extent to which EVs will deliver abatement, however, a realistic understanding of the electricity and transport sector GHG emissions impacts arising from different approaches to integrating EVs into the power system is required. A key issue in this regard is the extent to which GHG emissions are a function of where and when EV charging will be enabled (or disabled) by the provision of recharging infrastructure and implementation of charging management strategies by the electricity industry. This article presents an investigation of the GHG emissions arising from electricity and gasoline consumption by plug-in hybrid EVs under a range of standard EV-power system integration scenarios. An assessment framework is presented, and GHG emissions from EV use are assessed for the New South Wales (NSW) and South Australian (SA) pools of the Australian National Electricity Market (NEM) using retrospective electricity system generation data for 2011. Results highlight that there is a range of possible outcomes depending on the integration scenario and emissions accounting approach used. This range illustrates value of a temporally explicit assessment approach in capturing the temporal alignment of electricity sector emission intensity and EV charging. Results also show the importance of a clean electricity generation mix in order for EVs to provide a GHG abatement benefit beyond what would be achieved by a hybrid (but non-plug-in) vehicle. The extent to which overnight charging in NSW is observed to produce higher emissions relative to unmanaged charging also illustrates a possible trade-off between GHG emissions and benefits for electricity industry from EV charging at times of low demand.     

Optimal surveillance against foot‐and‐mouth disease: the case of bulk milk testing in Australia

Previous foot‐and‐mouth disease (FMD) outbreaks and simulation‐based analyses suggest substantial payoffs from detecting an incursion early. However, no economic measures for early detection have been analysed in an optimising framework. We investigate the use of bulk milk testing (BMT) for active surveillance against an FMD incursion in Australia. We find that BMT can be justified, but only when the FMD entry probability is sufficiently high or the cost of BMT is low. However, BMT is well suited for post‐outbreak surveillance, to shorten the length of time and size of an epidemic and to facilitate an earlier return to market.