Managerial Views of Corporate Impacts and Dependencies on Ecosystem Services: A Case of International and Domestic Forestry Companies in China

A line of research is emerging investigating the private sector impacts and dependencies on critical biodiversity and ecosystem services, and related business risks and opportunities. While the ecosystem services narrative is being forwarded globally as a key paradigm for promoting business sustainability, there is scarce knowledge of how these issues are considered at managerial level. This study thus investigates managerial views of corporate sustainability after the ecosystem services concept. We analyse interviews conducted with 20 managers from domestic and international forestry companies operating with a plantation-based business model in China. Content analysis was employed to analyse the data, with a focus on four key areas: (1) interviewee familiarity with the ecosystem services concept; (2) their views of corporate dependencies and impacts on ecosystem services; (3) related business risks and opportunities; and (4) viability of existing instruments and practices that can be employed in detecting and addressing business impacts and dependencies on ecosystem services. Through an inductive approach to the empirical findings, we refined a framework that holds operational value for developing company response strategies to ecosystem services impact/dependence assessment, ensuring that all issues are addressed comprehensively, and that related risks and opportunities are properly acknowledged.     

Forecasting high resolution electricity demand data with additive models including smooth and jagged components

Short-Term Load Forecasting (STLF) is a fundamental instrument in the efficient operational management and planning of electric utilities. Emerging smart grid technologies pose new challenges and opportunities. Although load forecasting at the aggregate level has been extensively studied, electrical load forecasting at fine-grained geographical scales of households is more challenging. Among existing approaches, semi-parametric generalized additive models (GAM) have been increasingly popular due to their accuracy, flexibility, and interpretability. Their applicability is justified when forecasting is addressed at higher levels of aggregation, since the aggregated load pattern contains relatively smooth additive components. High resolution data are highly volatile, forecasting the average load using GAM models with smooth components does not provide meaningful information about the future demand. Instead, we need to incorporate irregular and volatile effects to enhance the forecast accuracy. We focus on the analysis of such hybrid additive models applied on smart meters data and show that it leads to improvement of the forecasting performances of classical additive models at low aggregation levels.     

Alternative profitability measures and tests of the structure-performance relationship

This paper compares the inferences gained when alternatively specifying Census-based price-cost margin and IRS-based accounting rate of return as the dependent variable in conventional structure-performance models. We find important differences between the structure-performance inferences of the alternative specifications of the profit measure. Further, the alternative profit measures are not highly correlated.The authors acknowledge the constructive comments of an anonymous referee.     

The Impact of High Tech Production Techniques on Productivity and Profitability in Selected U.S. Manufacturing Industries

This paper examines the impact of high technology onmultifactor productivity and price-cost margins. Principal components obtained from five technologyvariables are related to multifactor productivityand price-cost margin. A negative and significantrelationship between price-cost margin and hightechnology methods when industry effects areexcluded, becomes insignificant in the industryeffects specification. The price-cost marginequations suggest that prior findings of a negativerelationship between profitability and hightechnology may result from omitting industryeffects. For multifactor productivity, there is apositive impact from high technology regardless ofwhether the specification includes industry effects.