Perceptions of older consumers regarding food packaging as a prerequisite for its improvement: A case study of Polish market

In many societies, the scale of demographic change associated with increased longevity has the potential to influence the market for consumer goods. As a result, continuous improvement in packaging design that takes into account the needs of older people should become an important challenge for both packaging producers and product manufacturers. Due to the fact that there is limited research concerning the design of food packaging for older people, the aim of the study was to identify the expectations of this group of consumers in this respect. Milk packaging was selected as a model subject of study. Factors influencing older consumers and their buying patterns when purchasing milk have been thoroughly examined. The research was conducted among people over the age of 60 with the use of three methods: a questionnaire (600 subjects), an in‐depth interview (60 subjects) and eye tracking (30 subjects). The results of the study show that older consumers have specific preferences regarding packaging type and design. When considering milk packaging, for example, they prefer glass bottles, simple graphics and font and subdued colours. They most frequently look for information concerning the product's expiration date, its producer's name and its composition. Eye tracking revealed that the older the consumers are, the more problems with finding expiration date they have. The time required to find such information, however, strongly depends on where exactly the expiration date is printed on the packaging. The preferred place in this case is the top of the bottle. Older consumers identify product's brand with the name of the producer. Moreover, the absence of the term ‘ingredients’: on the milk packaging oftentimes causes confusion among older people, who are concerned about potential food additive content.     

Is the Income Elasticity of the Willingness to Pay for Pollution Control Constant?

How willingness to pay for environmental quality changes as incomes rise is a central question in several areas of environmental economics. This paper explores both theoretically and empirically whether or not the willingness to pay (WTP) for pollution control varies with income. Our model indicates that the income elasticity of the marginal WTP for pollution reduction is only constant under very restrictive conditions. Our empirical analysis tests the null hypothesis that the elasticity of the WTP for pollution control with respect to income is constant, employing a multi-country contingent valuation study of eutrophication reduction in the Baltic Sea. Our findings reject this hypothesis, and estimate an income elasticity of the WTP for eutrophication control of 0.1–0.2 for low-income respondents and 0.6–0.7 for high-income respondents. Thus, our empirical results suggest that the elasticity is not constant but is always less than one. This has implications for how benefits transfer exercises, and for theoretical explanations of the environmental Kuznets curve.     

Forecasting household debt with latent transition modelling

Latent transition modelling (LTM) was used to forecast household debt patterns. A model based on three waves (2011, 2013 and 2015) and over 36,000 responses from the biennial panel study of Polish households – Social Diagnosis – provided data for these forecasts. Based on the fact that transitions between latent states are shaped by previous latent states and socio-economic covariates – age of household head, income and number of household members – we were able to demonstrate LTM as a tool to generate aggregate predictions for both medium- and long-term evolution of the household credit market. The declining tendency for household credit participation rates in Poland is expected in the longer term. In particular, the trend should be supported by decline in the proportion of mortgage debtors. The groups of households indebted for the consumption of durables and those seeking credit outside the banking sector are the groups predicted to remain stable or increase in size.     

Applying free random variables to random matrix analysis of financial data. Part I: The Gaussian case

We apply the concept of free random variables to doubly correlated (Gaussian) Wishart random matrix models, appearing, for example, in a multivariate analysis of financial time series, and displaying both inter-asset cross-covariances and temporal auto-covariances. We give a comprehensive introduction to the rich financial reality behind such models. We explain in an elementary way the main techniques of free random variables calculus, with a view to promoting them in the quantitative finance community. We apply our findings to tackle several financially relevant problems, such as a universe of assets displaying exponentially decaying temporal covariances, or the exponentially weighted moving average, both with an arbitrary structure of cross-covariances.     

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.     

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...