Producing Localized Commodity Frontiers at the End of Cheap Nature: An Analysis of Eco‐scalar Carbon Fixes and their Consequences

There is no single ‘great’ commodity frontier whose exploitation under current socio‐technical conditions could fuel capital accumulation at the global scale. According to Jason Moore, this represents the ‘end of Cheap Nature’ and signals a terminal crisis for capitalism as we know it. In this article we complicate this assertion by showing how, in the context of global environmental governance frameworks of carbon control, a diverse range of actors situated at multiple scales are intensifying the use of cities and their hinterlands for the production/transgression of localized commodity frontiers. We draw on scholarship on uneven geographical development, state‐led restructuring and eco‐scalar fixes to present two case studies from different segments of the carbon cycle in the global South. The first case demonstrates how the introduction of waste‐to‐energy technology in Delhi facilitated the generation of ‘carbon credits’ while waste matter itself became a commodity. The second discusses attempts by the Brazilian state of Amazonas (Amazônia) aspiring to shift from rainforest exploitation to financialized conservation supported by the ‘green global city’ functions of metropolitan Manaus. These cases demonstrate that although the global carbon‐control regime may enable accumulation, implementation remains speculative, and localized commodity frontiers provoke social resistances that jeopardize their durability.     

Discrete choice surveys by telephone

In two consumer studies, discrete choice surveys were administered both by telephone and by traditional pencil and paper methods. Study participants responded to discrete choice surveys concerning pizza restaurants in the first study and fast food restaurants in the second. Neither aggregate level estimated utilities for the pizza restaurants, nor market shares for the fast food restaurants differed by method of administration. The results indicate that discrete choice surveys can be successfully administered by telephone. He received his Ph.D. in marketing from the University of Texas at Dallas. Dr. Perkins is interested in marketing research methodology and in the use of marketing research information in managerial decision making. Dr. Perkins has published articles in theJournal of Marketing Research andPsychometrika. He is a member of the American Marketing Association, the Marketing Research Association, and the TIMS College of Marketing. Jacqueline Roundy recently completed the M.S. degree in marketing from the Pennsylvania State University. In addition she holds an M.B.A. from the University of Utah. She is currently working in Europe.     

Adjoint-based Monte Carlo calibration of financial market models

Adjoint methods have recently gained considerable importance in the finance sector, because they allow to quickly compute option sensitivities with respect to a large number of model parameters. In this paper we investigate how the efficiency of adjoint methods can be exploited to speed up the Monte Carlo-based calibration of financial market models. After analyzing the calibration problem both theoretically and numerically, we derive the associated adjoint equation and propose its application in combination with a multi-layer method, for which we prove convergence to a stationary point of the underlying optimization problem. Detailed numerical examples illustrate the performance of the method. In particular, the proposed algorithm reduces the calibration time for a typical equity market model with time-dependent model parameters from over three hours to less than ten minutes on a usual desktop PC.      

Reinforcement Learning and Savings Behavior

We show that individual investors over‐extrapolate from their personal experience when making savings decisions. Investors who experience particularly rewarding outcomes from 401(k) saving—a high average and/or low variance return—increase their 401(k) savings rate more than investors who have less rewarding experiences. This finding is not driven by aggregate time‐series shocks, income effects, rational learning about investing skill, investor fixed effects, or time‐varying investor‐level heterogeneity that is correlated with portfolio allocations to stock, bond, and cash asset classes. We discuss implications for the equity premium puzzle and interventions aimed at improving household financial outcomes.     

Die <Emphasis Type="Italic">Zeitschrift für die gesamte Versicherungswissenschaft</Emphasis> bleibt die Zeitschrift für alle Disziplinen der versicherungswissenschaftlichen Forschung

Ohne Zusammenfassung     

The high-frequency impact of news on long-term yields and forward rates: Is it real?

Macroeconomic news announcements move yields and forward rates on nominal and index-linked bonds and inflation compensation. This paper estimates the reactions using high-frequency data on nominal and index-linked bond yields, allowing the effects of news announcements on real rates and inflation compensation to be parsed far more precisely than is possible using daily data. Long-term nominal yields and forward rates are very sensitive to macroeconomic news announcements. Inflation compensation is sensitive to announcements about price indices and monetary policy. However, for news announcements about real economic activity, such as nonfarm payrolls, the vast majority of the sensitivity is concentrated in real rates. Accordingly, most of the sizeable impact of news about real economic activity on the nominal term structure of interest rates represents changes in expected future real short-term interest rates and/or real risk premia rather than changes in expected future inflation and/or inflation risk premia. Such sensitivity of real rates to macroeconomics news is hard to rationalize within the framework of existing macroeconomic models.     

The Role of Collateral in Entrepreneurial Finance

Abstract:  Previous research has suggested collateral has the role of sorting entrepreneurs either by observed risk or by private information. In order to test these roles, this paper develops a model which incorporates a signalling process (sorting by observed risk) into the design of an incentive-compatible menu of loan contracts which works as a self-selection mechanism (sorting by private information). It then tests this Sorting by Signalling and Self-Selection Model, using the 1998 US Survey of Small Business Finances. It reports for the first time that: high type entrepreneurs are more likely to pledge collateral and pay a lower interest rate; and entrepreneurs who transfer good signals enjoy better contracts than those transferring bad signals. These findings suggest that the Sorting by Signalling and Self-Selection Model sheds more light on entrepreneurial debt finance than either the sorting-by-observed-risk or the sorting-by-private information paradigms on their own.     

The dynamics of long-term business-to-business exchange relationships

A framework for business-to-business interaction is proposed that integrates approaches to bargaining from social psychology and economics to provide a conceptual paradigm emphasizing long-term exchange relationships rather than individual transactions. The authors propose a classification of negotiation behavior along two continuous dimensions and examine the mechanics of the dyadic negotiation process that translate negotiation behavior into long-term relationships. They suggest that exchange relationships are formed by achieving mutually beneficial outcomes from a series of exchange transactions and that there is a bi-directional link between negotiation behavior and exchange relationships mediated by negotiation outcomes. The framework also explores the determinants of negotiation behavior in dyadic negotiations between businesses in terms of organizational, individual, and “other party” influences. Propositions are developed, using both role theory and economic bargaining theory, to support the overall framework. Finally, the classification of negotiation behavior is revisited to examine the evolution of exchange relationships over time. She received her Ph.D. from Georgia State University. Her research interests include attitude and choice models, services marketing, customer satisfaction, and business-to-business relationships. She has published articles in theJournal of Consumer Research, Journal of Business Research, Psychology and Marketing, Journal of Consumer Satisfaction, Dissatisfaction, and Complaining Behavior, and theJournal of Health Care Management, as well as various conference proceedings. He received his Ph.D. from the University of Pittsburgh. His research interests include organizational buying behavior, negotiation strategies, small group dynamics, and cross-cultural differences in buyer-seller interactions. His research has been published in theJournal of Marketing, Journal of Consumer Research, Journal of International Business Studies, andIndustrial Marketing Management, as well as numerous conference proceedings. She also holds an M.B.A. from the Uni- versity of Tennessee. Her research interests include consumer value determination, consumer satisfaction, and business-to-business relationships.     

Marketing and the law

Marketing decisions are particularly vulnerable to legal rulings made in both the courts and the legislatures. The effective management of those legal implications challenges the modern marketing professional. Grasping marketing’s overall legal environment, including its governing case law, regulatory statutes and future trends, is essential. This review will provide analysis of recent court cases and legislation with particular emphasis on creatively assisting the marketer’s management of the legal factor.