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Abstract

The objective of this paper is to review the academic literature and identify best practices on the integration of artificial intelligence and sustainable technologies in strategic renewable energy and Power-to-X projects globally. We reflect upon the way in which exemplary case studies can be used to foster a common shared view among different policy makers to highlight new ways through which energy efficiency and systemic improvements in the energy sector may be achieved while curbing carbon emissions and addressing climate change. The main risks, challenges and mitigations for integrating artificial intelligence and sustainable technologies in energy systems are also educed from both the academic literature as well as interviews with experts. Our findings indicate that while the integration of artificial intelligence and sustainable technologies can support energy efficiency and systemic improvements in the energy sector, there are several risks that were not previously identified in the literature. Critical areas of future development for academic research as well as opportunities for professional practice are presented.

Open access

Abstract

In a research study among university students regarding technological change, equality and environmental sustainability, deep-seated dichotomies were found in the students' mental images of the future. This study aims to present these dichotomies as well as propose explanations for them, adding to our understanding of what kind of behavioural barriers inhibit sustainability transformations. The results show that the interviewees truly struggle to decide if the world really is on fire regarding environmental change, if technology is capable of solving the situation, if inequality is truly a problem, and how they can relate to all this. The dichotomies that we found suggest that on the one hand, they find no comfort in the dominant techno-optimistic, eco-modernisation narratives and, on the other hand, they are not aware of any alternatives. The results underline the existence of psychological phenomena such as optimism bias or psychological distancing. In our paper, we also address whether dichotomous thinking poses a problem or whether we may have to accept that dichotomies can become the norm when contemplating the world in its increasing complexity.

Open access

Abstract

This study empirically examines knowledge spillover in Visegrad Four (V4) countries, with an emphasis on global value chains (GVCs). Using patent statistics, the study aims to estimate the knowledge production function, including domestic and foreign knowledge stocks, and found that international knowledge spillover does not contribute much to the innovation of the local economy in the V4 countries because of three factors: i) multinational corporations' (MNCs) strategy to locate a low-cost production base, ii) MNCs' strategy to locate supporting (process, production or non-core product related) research and development (R&D) activities and iii) limited technology spillover effect from MNCs to local firms. Local firms in the V4 countries became dependent on the peripheral products and technologies provided by MNCs, and as a result, local R&D activities in the V4 countries were diverted from patentable innovation.

Open access

Abstract

Managing sustainability-oriented organizational changes has received increasing attention in the international literature from the perspectives of corporations and universities. Nevertheless, researching sustainability change management (SCM) from the perspective of the cooperation of corporations and universities, especially the underlying factors of the cooperation, remained overlooked until now. Based on the change management (CM) literature, this research focuses on an international inter-organizational network with universities and corporations, and empirically studies their autonomous SCM characteristics and the collaborative planning dynamics of a sustainability-led innovation (SLI) project. Results show that SLIs cannot only come from SCM strategies, but emerging opportunities within inter-organizational networks could also induce them. Important contextual factors of CM, i.e., regarding strategy, structure, and capabilities, however, could and should be interpreted during SCM and SLI project planning, as these underlying factors force cooperation partners to compromise with each other in project scope. The results suggest that compromises could not undertake autonomous strategy alignment or capability building, only minor changes in the project scope which will still allow leveraging existing capabilities or require a few additional structural coordination mechanisms. The findings contribute to the literature by highlighting empirical examples of inter-organizational SLI challenges, deriving from autonomous balancing needs during SCM.

Open access

Abstract

Measurement of the performances of inflation targeting (IT) frameworks has been of interest to researchers ever since IT began to be implemented as a monetary policy strategy. The purpose of this paper is to evaluate the impact of domestic and international determinants on success in achieving inflation targets of the selected European economies. Our methodological framework is based on the application of a non-stationary discrete choice model. For this research, four European economies are considered: Czech Republic, Hungary, Poland and Serbia. Their results regarding IT policy can provide a useful benchmark for similar economies that are either planning to adopt the same monetary policy framework or have begun to apply it recently. Our findings indicate that IT success is primarily under the control of monetary policymakers by key policy rate mechanism, but that the impact of additional domestic and international factors that are not easily managed by the central bank like budget balance, exchange rate, growth rate, current account balance, labor cost growth, loans, Harmonized Index of Consumer Prices, inflation, and GDP gap of the Eurozone, can be also significant. Consequently, monetary policymakers need to take into account a wide range of inflation factors, including foreign spillover effects, so that tools for their neutralization can be helpful in achieving the targeted goals.

Open access

Abstract

A set of simple and complex indicators is used to measure the economic condition of economies, and the analysis can be conducted in a static or dynamic approach. This article proposes the author's macroeconomic condition index (MCI), which is based on the popular misery index, supplementing the unemployment and inflation rates with two variables: GDP growth rate and budget deficit. The aim of the study is to assess the macroeconomic situation of Poland against the average for the EU, using the above-mentioned measure. The time scope of the study covers the years 2011–2020, with particular emphasis on the effects of the first year of the Covid crisis. The results indicate that throughout the period the economic situation in Poland in terms of the four variables combined was relatively favourable, although less stable. A sharp downturn occurred in 2020, both domestically and on average in the EU. The main determinants of the worse condition were a decline in the GDP growth rate and an increase in the budget deficit, with relatively steady unemployment and inflation.

Full access

Abstract

It has been known for decades that in a given year and in a given country, with the rise in lifetime income, life expectancy also rises. The difference between the richest and the poorest stratas' life expectancies is called the longevity gap. Recently, as the gap has generally been growing, it has received more and more attention. The issue is important in itself, but it has also an obvious impact on redistribution in the pension system: the greater the longevity gap, the greater is the redistribution from the low benefit pensioners to the high benefit ones in a given pension system. Econometrically estimating the life expectancy-income function may help the analysis. In our short study, first we give a simple estimation, and then we show the influence of the estimate on the redistribution.

Open access
Acta Oeconomica
Authors:
Adrienn Boldizsár
,
Ferenc Mészáros
, and
Tibor Sipos

Abstract

The relationship between economic growth and transport sector is an important and popular topic for researchers, but it also has several untapped areas. To ensure continuous economic growth, it is necessary to answer how and to what extent economic sectors contribute to sustainability; what factors or sets of factors can determine freight performance in a country or region; and how it affects the global economy. This study aims to test the presence of spatial dependence. In this research, the authors looked for the spatial relationships between economic activity (GDP) and freight transport performance using spatial econometric models. The results showed that the spatial impact of freight transport performance and GDP significantly influence each other. The intensity calculation shows that the Baltic States have a high intensity in road freight transport, followed by the Central European region. Eastern Europe, including Russia and the Baltics, are prominent players in rail freight. Furthermore, the spatial econometric models have highlighted that a country with high GDP has some sort of "suction" effect on neighbouring countries with lower GDP along with the freight performance. This is especially true for rail freight. In the long run, the outlined results may even support strategic decision-makers in managing the economic impacts of both road and rail freight transport at the regional level.

Open access

Abstract

This paper examines the geographical distribution of regional state aid in Slovakia between 2004 and 2021, while focusing on projects realized in the least developed districts. The purpose is to answer the following research question: how much investment support is provided to areas with high rates of long-term unemployment to promote local economic activity? The investigation was conducted using a spatial distribution analysis and descriptive statistical methods. The findings demonstrate that the level of support in less developed districts is below the level of aid directed into more developed regions not only in terms of the number of supported projects, but also regarding the total amount of aid and the number of created jobs. Out of the 20 least developed districts we monitored, only the results for Košice-okolie significantly outperformed the results of the other districts. This article provides possible explanations for these findings and contributes to the literature by providing insights into the practical application of state aid in Slovakia.

Open access

Abstract

While decarbonization and hydrogen energy are at the top of European policymakers' agenda, research and innovation (R&I) management of energy companies must focus on clean technologies (cleantech) which could decrease greenhouse gas (GHG) emissions in the sector. The Central European energy sector, however, might face a decarbonization challenge because of the specific geopolitical situation, so aligning R&I directions with regional policy and conditions seem to be crucial to accelerate sectoral and corporate adaptation. This study focuses on the decarbonization progress and strategies of the Visegrád 4 (V4) countries, concerning some of the most promising hydrogen-driven cleantech R&I directions which might induce strategic changes in Central European energy companies. Besides promoting renewable energy sources, results show that V4 strategies usually include the development of nuclear energy capacities to reduce GHG emissions and using the extended natural gas infrastructure for renewable energy storage. The analysed cleantech innovations are included but usually not central in these strategies. Strategic changes in energy companies, however, could be driven by these promising R&I directions, e.g., the hydrogen economy development by power-to-X (P2X) technologies, industrial decarbonization by carbon capture, utilization or storage (CCUS) technologies in the mid-term, and cross-sectoral integration and optimization by smart energy system (SES) development in the long-term.

Open access