This study examines the causal links between improvements in economic freedom and changes in GDP per capita of new EU members in transition in the period 2000‒2009. The empirical results suggest significant causality running from changes in monetary and fiscal freedom, trade openness, regulation of credit, labour, and business, legal structure and security of property rights, and access to sound money to movements in GDP per capita, especially in less and moderately developed CEE transition countries. Moreover, we find evidence that improvements in economic freedom are one of the main factors stimulating the convergence of these economies towards rich EU members. The evidence of causality in the opposite direction is much weaker.
The article raised issues related to the design and execution of low-energy objects in Polish conditions. Based on the designed single-family house, adapted to the requirements of the National Fund for Environmental Protection and Water Management ("NF40" standard), the tools to assist investment decisions by investors were shown. An economic analysis and a multi-criteria analysis were performed using AHP method which had provided an answer to the question whether it is worthwhile to bear higher investment costs in order to adjust to the standards of energy-efficient buildings that fulfil a minimal energy consumption's requirements contained in Polish law. In addition, the variant of object that had optimal characteristics due to the different preferences of investors was indicated. This paper includes analysis and observations on the attempts to unify that part of the building sector, which so far is considered to be personalized, and objects in accordance with the corresponding idea are designed as "custom-made".
The scope of the paper refers to long- and medium-run trends of labour supply in Poland. The main purpose is to determine current trends in the labour supply and its projections till the year 2050. In the theoretical part of the paper determinants of labour supply are considered. The projections are based on the population forecasts till 2050 made by the Central Statistical Office of Poland (CSO) and by the authors’ own simulations. Several variants of upper limit of working age and activity rates are taken into account. The population forecasts by the CSO indicate it will occur big decrease of working age population till 2050. The biggest decrease will refer to the group of working age 18–59/64 years and the lowest decrease in the age group 18–66 years. The analysis shows that the declines in labour supply in the years 2020–2050 will occur in all variants of working age population, the biggest decline in the variant assuming the age group 18–59/64 and the smallest decline – in the group 15–74 years. Retirement age is of big importance for the size of labour supply. This is why it is recommended to encourage older people to prolong their economic activity. It is also necessary to increase activity rates in the working age population.
Biogas production has a big potential to provide clean energy. To evaluate the future production and maturity of biogas technology the generalized Weng model was proved to be effective, due to it has the minimum error. The simple algorithms to determine its parameters have been proposed. The simulation results for China, USA, and EU have been presented. The quantity and quality analysis for biogas feedstock has been carried out. Energy Return on Energy Invested (EROEI) indicator for different biofuels was considered. According to analysis done biogas from maize residue and chicken manure has high EROEI. Shannon Index was suggested to evaluate the diversity of feedstock supply. Biomass energy cost indicator was grounded to be used for feedstock energy and cost assessment. Biogas utilization pathways have been shown. Biogas boilers and CHP have the highest thermal efficiency, but biogas (biomethane) has the highest potential to earn as a petrol substitute. Utilization of biogas upgrading by-product (carbon dioxide) enhances profitability of biogas projects. Methods to assess the optimal pathways have been described.
The problem of regional diversity is the subject of a broad scientific discourse. The dynamics of territory development is connected with many factors. Among them, the so-called spaces for development opportunities of individual units and resiliance issues for external factors of regions. The author discusses the diversity of individuals from the point of view of these two factors. It indicates future directions of regional research, which will show why regions at the start with potentially the same structure are developing completely differently and why in most cases resistance is associated with innovation and in the case of Polish regions it is not.
The approach of a unilateral impact of the financial sector on economic growth was invalidated by the last financial crisis which very quickly changed into a global economic crisis.
The aim of the study is the analysis of the impact of the financial sector on economic growth in the context of the growing phenomenon of financialization, which was one of the significant reasons of the financial crisis. The study was focused on presenting the growing scale of this phenomenon and analysing the impact of money supply in USD and EUR on world GDP and the GDP of the USA and the Eurozone. The following hypothesis was postulated: the growing process of financialization causes the growth of the USD and EUR supply, influencing changes in the world GDP, the GDP of the USA and the Eurozone. The study confirmed the hypothesis of the relation of the money supply with changes in economic growth. However, influencing economic growth with the money supply causes the purchasing power of business entities to decrease and causes growing debt. Furthermore, it does not contribute to the strength of the real economy. A repair of the current “system“ should not be sought for in constantly increasing macroprudential regulations, but in a return to a country’s interventionism, leading to a change in the priorities of the actions of financial institutions; mainly banks, and the supply of money based on fixed parities (gold, energy).
This study examines the impact of monetary policy on economic growth in Ukraine between 2006 and 2019. After the stationarity and co-integration tests, a vector- autoregressive model (VAM) was used to estimate the impact of monetary factors on economic growth in Ukraine. The research results show that GDP changes are largely explained by its own earlier dynamics, but in the long-run real GDP quite strongly depends on the money supply, exchange rate against euro, and basic interest rate. At the same time GDP is weakly dependent on the exchange rate against US dollar, CPI and PPI, the volume of loans to business and external debt. The authors explain their findings and compare them with several other empirical studies on the subject concerning some other countries.
The article aims to explain whether in 2004–2015 Poland experienced economic convergence between regions and counties (Polish: powiat), and whether this process occurred within the regions (Polish: województwo). Following Poland’s EU accession, the Polish policy became dominated by the polarization and diffusion concept of regional development, which may cause differences in the short term, while in the long run it may contribute not only to the increased efficiency of public funds allocation, but also to the elimination of disparities in growth levels. In the analysed period Poland experienced a process of economic divergence between the regions, only the years 2006–2008 saw a short-term reduction in regional disparities. On the other hand, a slow process of reducing economic inequalities between counties took place after 2004. It was, however, varied – a clear reduction in disparities occurred between the land counties (Polish: powiat ziemski) in an almost monotonic manner, whereas city counties (Polish: miasto na prawach powiatu) did not undergo any convergence. Within the regions, the process of economic convergence varied: in five regions, β-convergence was identified, and σ-convergence occurred in all the regions. The process of reducing disparities was significantly dependent on the development pathway of the region.
This paper proposes a fair calculation approach for the cost and emission of generators. Generators also have reactive power requirements along with the active power demand to meet up the total power demand. In this paper, firstly the reactive power is calculated considering the random active power operating points on the capability curve of a generator then the cost for reactive power generation as well as emission are calculated. In order to develop the mathematical function for the reactive power cost and reactive power emission, a curve-fitting technique is applied, which gives the generalised reactive power cost and reactive power emission functions. At the end, the problem is formulated as a multiobjective problem, considering conflicting objectives such as combined active- reactive economic dispatch and combined active-reactive emission dispatch. The problem is converted from the multiobjective load dispatch problem (MOLDP) into a scalar problem, using the weighting method and the best compromised solution has been calculated using the particle swarmoptimization (PSO) technique.Afuzzy cardinal method has been applied to choose the best solution. In order to demonstrate the efficiency of developed functions the proposed method is applied on a 3 generator unit system and a 10 generator unit system, the results obtained show its validity and effectiveness.
Presented paper adresses issue of key research areas, which are important for development of backward regions in Poland. Proposed areas of priority research activities concentrates on: building resilience of regional structures on socio-economic crises; using megatrends impact on development paths; implementing public intervention generating economic growth; developing territorial keys for development; utilising capacity of cities, especially biggest; increasing quality of public management, strengthening of innovativeness and competitiveness of EU regions and cities; using better social and cultural dimension of socio-economic development; increasing potential of cross-border cooperation and using new development concepts, monitoring of socio-economic development through objective measuring of levels and paths. For Poland It is very important to use research activities to support process of closing gap with more affl uent EU regions.
The paper discusses Bayesian productivity analysis of 27 EU Member States, USA, Japan and Switzerland. Bayesian Stochastic Frontier Analysis and a two-stage structural decomposition of output growth are used to trace sources of output growth. This allows us to separate the impacts of capital accumulation, labour growth, technical progress and technical efficiency change on economic development. Since estimates of the growth components are conditioned upon model parameterisation and the underlying assumptions, a number of possible specifications are considered. The best model for decomposing output growth is chosen based on the highest marginal data density, which is calculated using adjusted harmonic mean estimator.
The purpose of this empirical study is to find the relationship between economic growth and foreign direct investment (FDI) in the Commonwealth of Independent States (CIS) and Central and Eastern European Countries (CEECs) using endogenous technological change model. First, we combine the CIS and CEECs into one group to test our hypothesis, and then we test each group separately to account for heterogeneity and draw a conclusion whether FDI is indeed a driving force of the economy. Panel data have been used from 2003 to 2014 and different panel estimation methods have been applied. Additionally, we use the Generalized Method of Moments (GMM) panel estimator to control for endogeneity problem. The present study finds that FDI is an important factor explaining economic growth in the pooled group and CEECs, although it is not significant in the case of CIS.
In many research studies it is argued that it is possible to extract useful information about future real economic activity from the performance of financial markets. However, this study goes further and shows that it is not only possible to use expectations derived from financial markets to forecast future economic activity, but that data about the financial system can be used for this purpose as well. This paper sheds light on the ability to forecast real economic activity, based on additional and different financial variables than what have been presented so far.
The research is conducted for the Polish emerging economy on the basis of monthly data. The results suggest that, based purely on the data from the financial system, it is possible to construct reasonable measures that can, even for an emerging economy, effectively forecast future real economic activity. The outcomes are proved by two different econometric methods, namely, by a time series analysis and by a probit model. All presented models are tested in-sample and out-of-sample.