ENERGY EFFICIENCY EVALUATION IN MANUFACTURING THROUGH AN ONTOLOGY‐REPRESENTED KNOWLEDGE BASE

Improving energy efficiency in a manufacturing company through an energy management system requires active participation of different stakeholders and involvement of different organizational entities and technical processes. Interoperability of stakeholders and entities is the key factor to achieve a successful implementation of an energy management system. Researchers have been developing approaches in applying ontologies to address interoperability issues among humans as well as machines. Ontologies have also been used for knowledge representation in different domains, such as energy management and manufacturing. In recent years, researchers have developed knowledge‐based intelligent energy management systems in buildings, especially households, which use ontologies for knowledge representation. In the manufacturing domain, ontologies have been used for knowledge management in order to provide a common formal understanding between the stakeholders, who have different background knowledge. This paper proposes an approach to apply ontology to allow knowledge‐based energy efficiency evaluation in manufacturing companies. The ontology provides a formal knowledge representation that addresses the interoperability issues due to different human stakeholders as well as machines involved in the energy management system of the company. This paper also describes the methods used to construct and to process the ontology. Copyright © 2013 John Wiley & Sons, Ltd.     

Determinants and consequences of soft budget constraintsAn empirical analysis using enterprise‐level data in transition countries1

This paper presents empirical work grounded in the soft budget constraint (SBC) literature. A loan is soft when a bank cannot commit the enterprise to hold to a fixed initial budget and/or the timing of repayment. Using data collected by the European Bank for Reconstruction and Development (EBRD) (Business Environment and Enterprise Performance Survey (BEEPS), 2002) in 26 transition economies, we analyze the determinants of managers’ expectations of having a soft loan. In particular, we find that managers’ expectations are lower when the initial financing requires collateral, and higher for larger firms and when firms had recently experienced financial distress. We also provide evidence that managers’ expectations influence their price responsiveness.     

The German bank–growth nexus revisited: savings banks and economic growth in Prussia†

This article provides evidence that smaller, regional public financial intermediaries contributed to Germany's industrial development, using a new dataset of the foundation year and location of Prussian savings banks. This extends the bank–growth nexus beyond its traditional focus on large universal banks. Since savings banks were public financial intermediaries, our results further suggest that state intervention can be successful in the financial sector, particularly at the early stages of industrial development when capital requirements are manageable, and access to international capital markets is limited.     

Crop Insurance as a Strategy for Adapting to Climate Change

Financial insurance for extreme events can play an important role in hedging against the implications of climate change. This paper combines a comprehensive estimation strategy and a unique panel dataset to study the role of financial insurance in farmers' welfare under uncertainty. Data are drawn from a large Italian farm panel dataset. We find that (i) demand for insurance products is likely to increase in response to climatic conditions, and (ii) that the use of insurance reduces the extent of risk exposure. We also find that farms growing more crops are less likely to adopt the insurance scheme. This confirms what is found in the theoretical literature. Crop diversification can be a substitute for financial insurance in hedging against the impact of risk exposure on welfare.     

IPO underpricing,signaling, and property returns

This paper investigates whether IPO signals reveal proprietary information about the prospects of an issuing firm’s underlying industry. By analyzing a sample of European property company (EPC) IPOs from 1997 to 2007, we take advantage of a heterogeneous set of industry performance measures, i.e., yields and total returns of direct property investments in various European property markets that can be clearly assigned to each individual IPO. The results reveal that the main signal of interest, underpricing, is in fact positively related to average property yields for a 12-month post-IPO period; a result that supports our assumption. Other signals, as proposed in previous research, do not appear to contain any information about the prospects of the IPO firm’s target property investment market. We also show that total returns seem to be a biased measure for direct property performance. Further tests for the signaling model’s preconditioned presence of information asymmetry among EPCs reveal that underpricing levels are a function of company-specific ex ante uncertainty proxies. In contrast, property-specific ex ante uncertainty proxies do not explain underpricing levels.