A Note on Polish Bank Consolidation

This note compares the possible results of creating the different consolidated banking groups discussed in Bonin and Leven (1996,J. Comp. Econom.23,52–72) with those actually engineered by the Ministry of Finance. A translog cost function is used to apprise the cost increase or decrease resulting from consolidation. The results of these calculations support generally the Polish bank consolidations proposed by Bonin and Leven.J. Comp. Econom.,December 1997,25(3), pp. 441–447. School of Slavonic and East European Studies, University of London, Senate House, Malet Street, London WC1E 7HU, Great Britain.     

Simulation model of the polish economy

This paper presents some results of the simulation model of the Polish economy in transition from the planned to market one. The simulation model is nonlinear and dynamic. It consists of 800 balance equations, 40 of which are difference state equations. The basic time unit is one quarter while the calculation horizon spans between three and 10 years. It was calibrated to the 1994–96 statistical data. The model contains the aggregates of production (divided between the state and private sectors and three production branches), households, public sector, banking system, and foreign trade. The simulation attempts to forecast chosen macroeconomic variables resulting from different scenarios. Sets of effective (Pareto-optimal) solutions and effective growth paths of economy were obtained. The simulation results help to better understand the macroeconomic process in the transition period and can be useful for central-level decisionmakers. This work was partially supported by grant No. 1 HO2B 023 09 from Komitet Badan Naukowych (Polish State Committee for Scientific Research).     

Industrial Policy—An Institutional Economic Framework for Assessment

Abstract:

In this article we suggest an institutional economic approach to classifying government policies, thus offering suggestions to improve the expected outcomes of government policy as well. We elaborate the argument for industrial policy-government policy to directly influence investment and resource allocation decisions by private companies. By adopting dimensions for industries that are stable over time, we can suggest which policies are suitable for which industries.     

Enabling the Circular Economy transition: a sustainable lean manufacturing recipe for Industry 4.0

Over the past 10 years, the concepts and objectives of circular economy have been increasingly detailed and become strategic issues of international, European, and national policies. However, the transition towards circular production models continues to be affected by several barriers and critical factors that make the transition difficult to achieve. The paper tries to design a relationship between sustainable production and lean production, highlighting the opportunity to invest in reverse-logistics and how Industry 4.0 system represents a breeding ground for circular economy targets application. The aim of the current study is to examine the relationships among sustainable production, lean production, and Industry 4.0 in order to evidence the need to adopt a lean methodology and Industry 4.0 technologies in a sustainable development perspective for companies. Following a holistic vision, the authors summarize the production principles and formulas, which, although in parallel, lead to similar results and therefore represent the pillars of a competitive and sustainable business. In conclusion, exploring the circular economy principles and production chain model, challenges, opportunities, and future outlooks are formulated.     

Inequality and growth: What comes from the different inequality measures?

The objective of the paper is to verify if income inequality impedes the growth rates in OECD countries in the period of 1990–2014 and to reveal whether the choice of the income inequality measure determines the sign and the strength of the estimated relationship. We use system GMM to estimate parameters of a dynamic panel growth model. The research indicates that income inequality negatively affects economic growth. We also find evidence that various measures of inequality bring the different scale of consequences for economic growth, with measures that give more weight to the middle part of the distribution being the weakest predictor of GDP growth. Simultaneously, we present the test of weak instruments, which helps to explain these differences.     

Likelihood based testing for no fractional cointegration

We consider two likelihood ratio tests, the so-called maximum eigenvalue and trace tests, for the null of no cointegration when fractional cointegration is allowed under the alternative, which is a first step to generalize the so-called Johansen’s procedure to the fractional cointegration case. The standard cointegration analysis only considers the assumption that deviations from equilibrium can be integrated of order zero, which is very restrictive in many cases and may imply an important loss of power in the fractional case. We consider the alternative hypotheses with equilibrium deviations that can be mean reverting with order of integration possibly greater than zero. Moreover, the degree of fractional cointegration is not assumed to be known, and the asymptotic null distribution of both tests is found when considering an interval of possible values. The power of the proposed tests under fractional alternatives and size accuracy provided by the asymptotic distribution in finite samples are investigated.     

What drives the Bitcoin price? A factor augmented error correction mechanism investigation

This article aims to determine what drives the price of Bitcoin. To achieve this aim, a large set of data is analysed using VEC models augmented by factors representing unobservable economic forces. They have been obtained by means of principal component analysis. This method enables us to contribute to the existing literature on Bitcoin in two ways. First, we employ the dimension reduction technique to combine variables from several papers. Second, we estimate several unobservable economic concepts instead of utilizing proxy variables as is usually done. We find that the main factor driving the Bitcoin price is its popularity. Hence, our result not only confirms some previous findings but reinforces them by providing a better definition of popularity. Finally, we conclude that the Bitcoin price is not affected by supply and demand factors in the way that is natural for conventional currencies.     

Stationary Markovian equilibrium in altruistic stochastic OLG models with limited commitment

We introduce a new class of infinite horizon altruistic stochastic OLG models with capital and labor, but without commitment between the generations. Under mild regularity conditions, for economies with either bounded or unbounded state spaces, continuous monotone Markov perfect Nash equilibrium (henceforth MPNE) are shown to exist, and form an antichain. Further, for each such MPNE, we can also construct a corresponding stationary Markovian equilibrium invariant distribution. We then show for many versions of our economies found in applied work in macroeconomics, unique MPNE exist relative to the space of bounded measurable functions. We also relate all of our results to those obtained by promised utility/continuation methods based upon the work of Abreu et al. (1990). As our results are constructive, we can provide characterizations of numerical methods for approximating MPNE, and we construct error bounds. Finally, we provide a series of examples to show the potential applications and limitations of our results.