Measuring the natural yield curve

We generalize the concept of the natural rate of interest (Laubach and Williams, 2003; Woodford, 2003) by defining and estimating the natural yield curve (NYC) – the term structure of natural interest rates. Our motivation stems i.a. from the observation that at times when central banks attempt to directly affect long-term interest rates (e.g. via quantitative easing) the gap between the short-term real and natural rate is no more a good indicator of the monetary policy stance. We estimate the NYC on US data, document its main properties and show i.a. that in the period 2008 to 2011 the NYC allows to better capture the US monetary policy stance than the short-term natural rate.     

Russia's Gas Sector: In Need of Liberalization in the Context of the Shale Gas Revolution and Energy Relations with the European Union

Rising gas production from nonconventional deposits in North America and the possibility of growth in the rest of the world pose a serious challenge to Russian energy interests. Although Russia has the largest proven gas reserves and is the number one exporter of fossil fuels, its position as a dominant gas supplier to the European Union (EU) is diminishing. This article examines the main problems of Russia's gas sector in the context of the shale gas revolution and the liberalization of the EU gas market. The article also analyses the perspectives of Russia's energy relations with EU countries and formulates some recommendations for them.     

Selection of a Representative Value Function for Robust Ordinal Regression in Group Decision Making

In this paper, we introduce the concept of a representative value function in a group decision context. We extend recently proposed methods UTA^GMS-GROUP and UTADIS^GMS-GROUP with selection of a compromise and collective preference model which aggregates preferences of several decision makers (DMs) and represents all instances of preference models compatible with preference information elicited from DMs. The representative value function is built on results of robust ordinal regression, so its representativeness can be interpreted in terms of robustness concern. We propose a few procedures designed for multiple criteria ranking, choice, and sorting problems. The use of these procedures is conditioned by both satisfying different degrees of consistency of the preference information provided by all DMs, as well as by some properties of particular decision making situations. The representative value function is intended to help the DMs to understand the robust results, and to provide them with a compromise result in case of conflict between the DMs.     

TOPSIS Based Approach to Scoring Negotiating Offers in Negotiation Support Systems

In this paper we analyze the possibility of applying the technique for order preferences by similarity to ideal solution (TOPSIS) to building the scoring system for negotiating offers. TOPSIS is a multiple criteria decision making method that is based on measuring distances between alternatives under consideration and two bipolar reference alternatives, a positive and negative ideal. Thus the criteria used for the evaluation of alternatives should be described using strong scales. However, in the negotiation, the issues are very often described qualitatively, which results in ordinal or even nominal variables that must be taken into consideration in offers’ evaluation process. What is more, TOPSIS may be applied to solving the discrete decision problems while the negotiation space may be defined by the means of continuous variables too. In this paper we try to modify the TOPSIS algorithm to make it applicable to negotiation support and, moreover, discuss the following methodological issues: using TOPSIS for a negotiation problem with continuous negotiation space; selecting the distance measure for adequate representation of negotiator’s preferences and measuring distances for qualitative issues. Finally, we propose a simple additional mechanism that allows for building the TOPSIS-based scoring system for negotiating offers and does not involve negotiators in time consuming and tiresome preference elicitation process. This mechanism requires from negotiators to construct examples of offers that represent some categories of quality and then by using a goal programming approach it infers all the parameters required by the TOPSIS algorithm. We also show a simple prototype software tool that applies the TOPSIS modified algorithm and may be used in electronic negotiation support.     

Niche tourism attributes scale: a case of storm chasing

In spite of the rapid and large growth of niche tourism, and the proliferation of tour operators catering to such markets, limited information is available on the measurement of tour operator attributes that are critical to maximise the experience and needs of their tourists. Thus, a study was conducted to comprehensively evaluate different operational attributes of small storm-chasing tour operators. Findings reveal high internal reliability and utility for this niche market; additional testing is suggested to evaluate such scale among other small niche tourism operators.     

Metrisable assessment of the course of stream-systemic processes in vector form in industry 4.0

Quality & Quantity - The goal of this paper is to present an innovative conception how to use metrisable vector structure of a manufacturing process, based on quantitative relations between the...     

Toward sustainable corporate behavior: The effect of the critical mass of female directors on environmental,social, and governance disclosure

Boards of directors have recently become more attentive to their stakeholders' concerns, providing more transparent information and adopting more sustainable business strategies. This study investigates the influence of a critical mass of women on boards on the environmental, social, and governance (ESG) disclosure score and its three components separately. Using a sample of the FTSE-MIB listed companies in the 2005–2017 period, we show that reaching a critical mass of female board members—going from one or two women to at least three—enhances the level of ESG disclosure. The results also show that the critical mass of female board members has a positive influence on every component of the ESG score, with the highest contribution of women reaching the governance score. These findings provide insights to shareholders and policymakers and suggest that a critical mass of female board members is particularly effective in improving transparency, and it can be seen as a mechanism to transit to stakeholder governance, fostering more sustainable behavior in firms.     

Macroeconomic Effects of an Ageing Population in Mauritius

The economic literature focuses mostly on faster ageing of population among developed countries; however, many developing countries experience even more dramatic pace of this process. Mauritius, with the median age of population higher than the world average since 1990s, represents a prominent example of such a case. In this paper, we analyse demographic developments in Mauritius and discuss their macroeconomic implications using an open-economy OLG model with demographic shocks. We project that a decline in the Mauritian interest rate and net foreign assets to GDP resulting from ageing will be accompanied by a temporary increase in GDP, consumption and investment.