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Recent economics of knowledge studies have highlighted the strong positive effects that the limited exhaustibility of knowledge and its cumulability exert on the recombinant generation of new technological knowledge. While existing empirical investigations primarily focus on the knowledge generation and technology production functions, the analysis of the cost of knowledge has received less attention. This paper aims to fill this gap by investigating the dynamics and determinants of patent costs in the European Union in the period 1992–2012. The analysis of patent unit costs in European countries, measured as the amount of research and development (R&D) expenditure per patent application to the European Patent Office (EPO), shows a steady decline and clear convergence toward lower levels, both in time and across countries. We find that a larger stock of patents and a higher technological variety and coherence of its composition are associated with a sharper reduction in patent costs. Our findings suggest that, in Europe, ideas have been getting cheaper. [ABSTRACT FROM AUTHOR]

We evaluate the cross-country convergence of financial development and its relationship with GDP growth. Financial inclusion variables have been widely converged across countries, and the catch-up effect of countries with poor financial coverage mainly drives the convergence. In contrast, financial development measures — including domestic credit, liability, mutual fund size, and stock market capitalization — have diverged since 1985 despite the absolute convergence in GDP and financial inclusion. The GDP growth rates strongly correlate with the change in financial development but not the improvement in financial inclusion. [ABSTRACT FROM AUTHOR]

Recent literature revisits cross-country convergence patterns over the last six decades. Whilst the debate has been about unconditional or conditional convergence, we question whether convergence rates differ across countries. Using the same dataset as in the recent studies of Kremer et al. (NBER Macroecon Annu 36:337–412, 2022) and Acemoglu and Molina (NBER Macroecon Annu 36:425–442, 2022) (GDP per capita for 108 countries over 58 years, 1960–2017), we systematically search models where the degree of heterogeneity varies from the mean group, pooled mean group, fixed effects and pooled estimators of convergence. The Bayesian Information Criterion selects the heterogeneous model whether we use the U.S., a common factor or country-specific trends as the steady state. We estimate a multi-country technological catch-up statistical model using the U.S. as the technological frontier. We show empirically that a failure to allow for heterogeneous rates of convergence creates a bias in the convergence coefficient towards zero. The long-run elasticity to the U.S.—another convergence parameter of interest—associates positively (0.79) with the country's average growth. Countries that learn from the technological frontier also grow faster. [ABSTRACT FROM AUTHOR]

Does China pull up its 31 mainland provinces as it converges to the incomes of advanced economies? The conventional method of modelling convergence in the Chinese provinces has been the Barro approach. This paper models convergence through a common factor, interpreted as the rising tides that lift the boats—the growth of China lifts its provinces. We question the conventional (Barro in Q J Econ 106:407–443 1991) definition of convergence. Imposing a common convergence rate across provinces would bias the convergence rate towards zero. We focus on the heterogeneous model where the convergence rate and long-run elasticity to the common factor differ across provinces. The rising tides of growth disproportionately benefit the poorer provinces and lifts the poor provinces more than the wealthier ones. This reveals the effects of transfer from the coastal provinces that developed first to the inner provinces that developed later. [ABSTRACT FROM AUTHOR]

The literature on convergence in per-capita income across countries has not converged on a common concept of convergence. It may be within a country towards its own steady state or between countries. Between country convergence may be absolute convergence to the same steady state; conditional convergence to country specific steady states, functions of observed variables; or club convergence to different steady states. It may be measured by beta convergence; sigma convergence; or the presence of a common trend. This paper surveys the econometric issues involved in estimating the rate of convergence; testing for convergence; and specifying the unobserved steady state. The survey suggests that rather than there being different ways to measure a single concept, convergence, the different measures are measuring different things. [ABSTRACT FROM AUTHOR]

Copyright of International Economics / Economia Internazionale is the property of Camera di Commercio di Genova and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Hungarian Statistical Review / Statisztikai Szemle is the property of Hungarian Central Statistical Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Industrial convergence refers to the dynamic process in which different industries gradually form new industries through mutual penetration and cross. As an advanced form of industrial synergy, industrial convergence is crucial in building a modern economic system. Using a panel data set covering China's 30 provinces during 2006–2018, this study explores the impact of industrial convergence on regional high-quality development. The findings suggest that: (1) Industrial convergence is conducive to high-quality development, and this conclusion remains robust after a series of tests. (2) For heterogeneity, the positive impact of industrial convergence on high-quality development is greater in regions with optimized energy structure and high investment outward, as does the regions with reasonable financial structure and moderate economic agglomeration. (3) Productivity improvement and industrial upgrading are the mediating paths by which industrial convergence promotes high-quality development, and the former plays a greater role. [ABSTRACT FROM AUTHOR]

Purpose: The paper aims to investigate the impact of socially-responsible human resource (SR-HR) practices on organizational sustainability performance (OSP) in Indian business organizations that are mandated to publish business sustainability and responsibility reporting. Design/methodology/approach: Data were obtained from 620 working professionals employed in the organizations listed on National Stock Exchange in India. The proposed hypotheses were tested by deploying the statistical technique of multiple regression analysis using SPSS Version-21. Findings: The results demonstrated that overall, SR-HR practices impact OSP. More precisely, all the dimensions of SR practices are positively associated with the organization's financial performance, environmental performance and social performance (SP). There was a relatively higher significant impact of legal-oriented human resource management (HRM) on organizational economic and ecological performance. However, in the case of SP, a substantial effect of employee-oriented HRM was found. Practical implications: Study findings encourage HR practitioners to invest in SR-HR practices to build and strengthen employees' abilities and contributing to sustainability goals. Originality/value: This study is one of the few studies conducted in the Indian context that highlights the relevance of the convergence of HRM, human resource development and corporate social responsibility to realize sustainability goals. [ABSTRACT FROM AUTHOR]

This article argues that while South Africa's post-apartheid foreign policy on Africa has largely emphasized state-led continental political and economic integration, the country's Multinational Corporations (MNCs) have led in the practical articulation of integration as an integral part of their expansion strategies in search for increased market share and the establishment of new markets on the continent. It assesses the intersection between South Africa's foreign policy on Africa's integration and the role of the country's MNCs. The article adopts a three-part juxtaposition approach to determine the convergence between South Africa's foreign policy goal of continental integration with the case studies of expansion strategies pursued by two of the country's MNCs namely, Standard Bank of South Africa Limited (Standard Bank) and Shoprite Holdings Limited (Shoprite). African Union member states should ensure that they design foreign policies that align the interests of MNCs with national and continental goals of integration. [ABSTRACT FROM AUTHOR]

This paper contributes to the growing body of literature exploring the ramifications of AI-driven technological singularity and its economic implications. The exploration unfolds in three key segments. First, it sheds light on the concepts of artificial general intelligence (AGI), AI superintelligence, and singularity itself. Subsequently, it discusses the AI alignment problem, addressing the potential outcomes of superintelligent AI on human civilisation. Further, Giddens’ structuration theory is used to highlight the prominent role of AI-based “authoritative resources” in determining the allocation of resources and ensuring distributive justice in a techno-utopian society. The paper also explores the idea of utopia and the “end of history” and concludes with the suggestion that achieving a technological utopia with superintelligent AI is a mechanism design problem.

The activities of the modern state are carried out taking into account the trends inherent in the global community. One of the driving forces behind these trends is the strengthening of economic integration due to the increasing role of finance in the world economy, the effects of globalisation, liberalisation, concentration and centralisation of financial capital, which have shaped the new shape of the modern economic system. The integration of the world economy requires the integration of law in accordance with generally recognised norms and principles at the international level. The international character of law is an external circumstance that determines the facts of legal regulation of the convergence of states and peoples, their economies, cultures and ideologies. Convergence leads to the convergence of different legal systems and economic models. These circumstances indicate the existence of a global phenomenon that can be described as the process of economic and legal convergence. The subject of the study is the patterns of convergence in the field of economics and law. The authors aim to study the genesis of the convergence theory, identify the main trends and prospects for the development of convergence in the current environment, and explain the patterns of convergence in the field of economics and law in the context of globalisation. The methodological basis of the research is the theory of economic and legal convergence, the theory of state regulation of the economy, the theory of socio-economic systems and economic growth developed in the works of domestic and foreign economists, lawyers and philosophers. The study of basic economic and legal institutions is carried out on the basis of the dialectical method, general scientific methods of abstraction, analysis, synthesis and systematic approach. The research of certain issues was carried out using special methods: historical, comparative, interpretation of law, logical and legal, as well as methods of specific economic research, etc. The authors analyse certain issues of economic and legal convergence in terms of their historical formation, relevance, efficiency and prospects for application. Results. Convergence in the field of economics and law is a process of interaction of relevant elements both within national systems and economic and legal systems of different states, characterised by convergence, an increase in the number of links between the elements of converging objects and a certain degree of consistency of the impact of these elements on social relations. On the basis of the study, the authors believe that the use of convergence processes in the field of economics and law at the global level should be carried out only in a harmonious manner, creating common balanced results based on a unifying model of coherent cooperation of the subjects of these processes.

Urban agglomerations (UAs), which serve as pivotal hubs for economic and innovative convergence, play a crucial role in enhancing internal circulation and strengthening external linkages. This study utilizes the China city-level multi-regional input-output tables, incorporating the Dagum Gini coefficient and kernel density estimation methods, to perform a thorough quantitative analysis. Disparities within the national and global value chains ("dual value chains") of Chinese UAs from 2012 to 2017 were assessed. Additionally, the logarithmic mean Divisia index (LMDI) method was applied to disaggregate the drivers of both national and global intermediate inputs (NII and GII). The study's key findings include the following: (1) The national value chain (NVC) within UAs exhibits robust growth, contrasting with the decline in the global value chain (GVC). (2) The inter-UA disparity contribution rate significantly surpasses the combined rates of intra-UA contribution and super-variation density. (3) Distinct evolutionary peak trends are discerned among various UAs within the "dual value chains", highlighting diverse spatial polarization characteristics and expansiveness. (4) The growth of the NVC has transitioned from a negative to a positive impact on NII, while the decline in GVC has substantially counteracted GII growth. Economic and demographic factors notably drive positive improvements in both NII and GII, whereas the efficiency of outflows presents a negative driving effect. Based on these findings, this study offers strategic recommendations to facilitate the effective integration of UAs into the new development paradigm, thereby providing a scientific basis for related decision-making processes. [ABSTRACT FROM AUTHOR]

Machine learning algorithms, and economic interpretation, integrated with survival analysis, are used to examine the temporal dynamics associated with achieving a 5% increase in purchasing power parity-adjusted GDP per capita over a period of 120 months (2013-2022). The comparative investigation reveals that DeepSurv effectively captures non-linear interactions, though standard models exhibit comparable performance under certain conditions. The weight matrix evaluates the economic implications of vulnerabilities, risks, and capacities. To meet the GDP per capita objective, the findings emphasize the necessity of a balanced approach to risk-taking, strategic vulnerability reduction, and investment in governmental capacities and social cohesiveness. The policy guidelines advocate for individualized approaches that account for the complex dynamics at play in decision-making processes. [ABSTRACT FROM AUTHOR]

In the context of global systemic transformations, economic security has become a focal point in political and economic debates. The article explores how economic convergence within the European Union (EU) contributes to strengthening regional economic security. Using an innovative approach based on cluster analysis, the study reveals economic convergence trends among EU member states, highlighting the involvement of this process in promoting economic stability and security in the era of systemic changes. Our methodology involves applying clustering techniques to an extensive set of economic indicators to assess the dynamics of economic convergence between EU countries over the last two decades. The cluster analysis carried out allowed the grouping of countries based on their similar economic characteristics, thus providing a clear picture of the progress towards convergence. The results indicate a strong trend of economic alignment within the EU, with the formation of clusters suggesting a reduction in economic discrepancies. This process of convergence not only reflects greater economic cohesion, but also contributes to the macroeconomic stabilization of the region, an important aspect for economic security in the face of global volatility and uncertainties. The analysis shows that the EU is moving towards uniformity and economic convergence, with economic clusters becoming more similar over time. [ABSTRACT FROM AUTHOR]

This paper investigates the pattern of the financial development convergence for the top (Europe and Central Asia) and the bottom (South Asia) globalized developing regions from 1984 to 2016. We employ the Philips-Sul club convergence approach to measure the financial development convergence's speed. The results validate the convergence of financial development in all countries, including the top and bottom of globalized developing regions. Interestingly, the speed of financial development convergence is less in the bottom globalized developing region than in the top globalized developing region. However, these results vary across developing regions in the case of financial institutions and financial markets. Therefore, solid financial market governance can provide a productive and efficient financial system, particularly in the bottom globalized economies. [ABSTRACT FROM AUTHOR]

In times of crisis, the study of employment is of vital importance, especially that generated by cooperatives, which show great resilience. This paper analyzes the evolution of employment created by cooperatives in the different Spanish regions in relation to total employment between 1999 and 2019 with a pioneering approach. We analyze the existence of convergence clubs among the Spanish regions using the methodology developed by Phillips and Sul (2007, 2009). The results show the existence of four clubs that include the regions that converge in relative terms of cooperative employment over the 20 years analyzed. The lack of homogeneity in the behavior of employment in cooperatives in the different Spanish regions is demonstrated, with certain divergences among regions. These divergences make it difficult to establish a model of cooperative employment for the whole of Spain. [ABSTRACT FROM AUTHOR]

Economic convergence was a goal of the European Union and financial integration was part of the tools to achieve this goal. After decades of successful convergence and closer financial integration, these movements have slowed since the Great Financial Crisis. In this paper, we contribute to explaining these stylized facts by showing, in a country panel setting, with 2SLS estimates, that the positive impact on productivity growth of financial flows, and in particular those intermediated by the banking system, depends on the quality of financial intermediation in the recipient country, but also on the quality of investors in the investor countries. [ABSTRACT FROM AUTHOR]

The validity of purchasing power parity (PPP) between two economies implies goods markets of the two are well integrated. This is a pre-condition for further economic convergence. This study examines validity of the PPP between China and European countries. Since the functional form of the cointegrating relationship may not be exact or linear, we adopt the nonparametric rank tests for analysis, without prior specification of the functional form. We also address the rank problems that occur in multivariate rank tests. The results indicate strong support for nonlinear PPP relationships between China and European countries, especially during the second subsample period. This indicates China's rising economic power, particularly in the most recent decade. Although there have been disputes between China and Europe, these results suggest favorable prospects for closer economic cooperation between the two sides and the need for formulation of common policies to pursue an integrated market in the future. [ABSTRACT FROM AUTHOR]

The authors estimate the alpha and beta of private equity investments using their desmoothed quarterly returns. Although computing the alpha and beta using a lagged linear regression between private and public market returns is straightforward, reconstructing desmoothed private market returns is trickier. A time series of desmoothed private capital returns has application in asset allocation, risk modeling, and return attribution. The authors use a state space modeling framework in which the desmoothing and the parameter estimation are done simultaneously using Bayesian inference. This is likely the first attempt to solve a full Bayesian model that can simultaneously estimate a desmoothed time series of returns as well as perform a lagged linear regression to estimate capital asset pricing model (CAPM) style parameters for private capital. The authors perform extensive model checking, look out for the model's convergence, and resolve any issues leading to overfitting. The estimates are precise with very low Monte Carlo simulation errors and are also in alignment with those in the literature, which validates this model and desmoothing technique. [ABSTRACT FROM AUTHOR]

Motivated by the structural change since the adoption of inflation targeting in October 1992, this research investigates regional house price convergence in the UK over the period 1973:Q4–2020:Q4. By using subsample comparisons, results show that all regions in the inflation-targeting regime converges to one club until the Global Financial Crisis. The finding suggests that the successful inflation-targeting policy can promote integration among regions. [ABSTRACT FROM AUTHOR]

This study deals with the evolution of fuels' prices over time in the EU. The central research inquiry revolves around whether there exists any correlation among the trajectories followed by national prices in the gasoline and diesel markets. The EU, and more specifically the Euro-Area, by its construction, is treated as an OCA (Optimum Currency Area). In an OCA, certain conditions are met to ensure the smooth functioning of a common currency. The fuel price synchronization is essential because it contributes to the effective implementation of policies and promotes stability across the entire macroeconomy. The study covers the period of 2017–2022. For each type of fuel and year, we construct an individual network where network nodes represent the EU member states while the edges connecting these nodes represent strong temporal fuel price correlations among the member states. The properties of the resulting networks are analyzed within a Complex Network framework. Our goal is twofold: first, to detect any potential convergence or divergence in the trajectories of the prices, and second, to investigate the impact of tax and duty implementation on the co-movements of the prices. The empirical findings show that diesel markets have a more pronounced pattern of price co-movements compared to the gasoline markets. Moreover, the application of fuel taxation policies seems to adversely affect the co-movements of prices. [ABSTRACT FROM AUTHOR]

As China's economy transitions from a stage of high-speed growth to a stage of high-quality development, the concept of low-carbon and green economic development has gained increasing popularity. Mastering the regional differences and changing patterns of low-carbon economy and economic growth quality is an important prerequisite for further promoting low-carbon economic development and improving the quality of economic growth. Taking the data of 21 prefecture-level cities in Guangdong Province from 2008 to 2019 as examples, we calculated the low-carbon economy and the quality index of economic growth, and analyzed the convergences between them through coefficient of variation analysis and a panel data convergence model with fixed effects. The results showed that: First, the convergence of low-carbon economy was better than the convergence of economic growth quality. Second, the low-carbon economy of Guangdong Province had σ convergence, and the imbalance between regions of low-carbon economy was alleviated, but the quality of economic growth of Guangdong Province did not have σ convergence. Third, there was absolute and conditional β convergence in the quality of low-carbon economy and economic growth in Guangdong Province. Fourth, the convergence rate of low-carbon economy in Guangdong Province showed "club difference"; the same was true of σ convergence, absolute β convergence, conditional β convergence, and dimensional convergence of economic growth quality in various regions of Guangdong Province. The exploration conducted in this article was conducive to better grasping the changing patterns of low-carbon economy and economic growth quality, enriching relevant research. The conclusions of this paper can provide decision-making basis for China to formulate urban and regional economic policies, achieve high-quality economic development, and "double carbon goal". [ABSTRACT FROM AUTHOR]

This article analyses regional convergence and the diminishing regional disparities within the EU27 from 2000 to 2019. It assesses the impact of income fluctuations on regional inequality by employing secondary analysis of income per capita indicators across NUTS 3 level regions. The article provides a quantitative assessment of regional income inequality, encompassing the most prevalent instruments used in the analysis of inequality data. In particular, it determines EU regional disparities using constructed Theil, Gini and CV indices exposing a more comprehensive evaluation of regional disparities within the EU. It also examines the nexus between spatial effects on regional income inequality. The findings suggest that EU convergence persists at the NUTS 3 level, albeit at a decelerating pace. We also point to the role of clustering effects among neighbouring regions. Notably, the study highlights the diminishing role of regional clustering due to income inequality during the ongoing convergence process. [ABSTRACT FROM AUTHOR]

This paper analyses the impact of highways on the distribution of economic activities between urban agglomerations and peripheral regions in the European Union. In doing so, I use an empirical strategy based on the land use theory employing disaggregated economic and infrastructure data. To address endogeneity, I apply an IV strategy exploiting non-local highway construction as a source of exogenous variation. I find that highways contribute to the diffusion of urban economic activities into surrounding areas, reducing the income gap between European agglomerations and peripheries. Reduced-form estimations suggest that the gap would have been nearly 3% higher in 2020 if the highway networks of European countries had remained at the level of 1990. The study concludes that transportation infrastructure policies can alleviate regional income disparities, increasing economic convergence between urbanised and less urbanised areas. [ABSTRACT FROM AUTHOR]

The ongoing development of entrepreneurship within small and medium-sized enterprises (SMEs) represents an essential factor pertaining to the growth of the modern economy because it has an extremely important impact on economic development, increasing the level of innovation and creating jobs. We tend to believe that SMEs represent a central pillar in the countries with a developing economy, and not only there because of the many benefits they bring about including the demonstrated ability to respond quickly to the changes in the market. The present study presents the convergence of the literature on entrepreneurship, SME, management, innovation and performance in the business sector, highlighting the interest of a very large number of researchers who have studied SMEs on economic growth. In the present study, we used the VOSviewer software for the bibliometric research, the results being reflected in the bibliometric maps that show the links between the keywords identified in the research of specialists in the field. [ABSTRACT FROM AUTHOR]

Copyright of Polish Journal of Economics / Gospodarka Narodowa is the property of SGH Warsaw School of Economics and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This study offers a comprehensive examination of economic growth and convergence in the Indian States and Union Territories (U.T.) over the period from 1991 to 2020. It investigates absolute, sigma, and conditional convergence within this diverse set of states and utilizes the augmented Solow and extended Solow models to explore conditional convergence dynamics. The empirical findings reveal several significant insights. First, there is no substantial negative correlation between the initial per capita GDP ratio and the average annual growth rate, indicating the absence of absolute convergence across the Indian States and U.T. economies during the study period. These results align with those obtained from sigma convergence analysis, reinforcing the absence of widespread convergence. However, conditional convergence is observed, as evidenced by the rate of conditional convergence (coefficient of initial GDP per capita) estimated at 0.038 among the Indian States and U.T. The presence of conditional convergence implies that while initial conditions matter, other factors, including physical and human capital, population growth, and additional variables, significantly contribute to the growth and convergence of Indian regions. The study concludes that policies aimed at promoting economic growth in the Indian States should prioritize the expansion of the labor force, investments in physical and human capital, and prudent government consumption. Furthermore, fostering an environment that encourages access to new technologies and ideas, maintaining sound macroeconomic management, and increasing investments in human capital formation are essential for sustained growth. Effective resource allocation through prudent budgetary policies and heightened investments in the health sector are recommended. Incentives to reduce fertility rates and adept monetary policy management are also identified as crucial elements for ensuring stability and sustainable growth. In summary, this research underscores the importance of adopting a holistic approach to foster economic growth and convergence in the Indian States. The suggested policy measures create a conducive environment for sustained development and prosperity in this diverse and dynamic region. [ABSTRACT FROM AUTHOR]

We analyze the convergence or divergence of the diversity of fiscal systems after the financial crisis of 2007. Studying twenty-nine countries, we first document the evolution of the taxation of households, firms, labor, consumption, and capital. We identify three types of fiscal systems: liberal, intermediate, and high-redistribution, which can be ranked in ascending order of tax rates, confirming known typologies in the diversity of capitalism literature. Only the tax rate on corporate profits shows signs of downward convergence over the period. The other tax rates show rather signs of divergence. Second, a divergence is observed among the liberal and high-redistribution groups over the period. The European countries are converging toward the high-redistribution model, with the exception of Great Britain, which is moving toward the liberal model. Thus, the financial crisis seems to contribute not to the convergence, but to the divergence of fiscal systems. [ABSTRACT FROM AUTHOR]

Theoretical background: Silver has a great importance in the real economy, i.e. in photography, medicine, electrical, electronic and chemical industry. The growing importance of renewable energy sources and the development of solar panels, accumulators and batteries means that the role of silver is significantly strengthened. At the same time, it is also used as an investment asset providing variety in portfolios, on numerous occasions being a cheaper substitute for gold. Researchers are studying connections between those two resources and providing different perspectives on their future based on real economy and the financial market. Purpose of the article: The purpose of this article is to assess the current role of silver in the economy and answer the question of its investment prospective. Research methods: The research methods include elements of descriptive statistics and Pearson’s linear correlation between the prices of silver, gold and copper of the EUR/USD exchange rate and the Dollar Index. The research period is from 2000 to 2023. The analyzed data are daily. A measure of the amount of money in circulation in the United States is the M2 index, which includes cash in circulation and deposits. The inflation will be shown by the Consumer Price Index. The research method is also critical analysis of the subject literature. Main findings: We found that the change in the price of silver is strongly dependent on the USD, and specifically on its supply. A significant increase in the price of silver in the analysed period is related to the ongoing process of quantitative easing and financialization, understood as a growing volume of futures contracts. The occurrence of silver and copper in nature makes them dependent on each other, not only in determining prices, but also currently constitutes a barometer of industrial development. Thanks to the growing demand from industry, shortages of silver can result in serious consequences for production, for which reason they may decide to aggressively improve metal recycling efficiency or hoarding supply, which might push prices further up. However, investment use will not disappear due to its anti-inflation characteristics and may cause an increase in demand among investors who see gold as too expensive. [ABSTRACT FROM AUTHOR]

Theoretical background: The dynamic development of generative artificial intelligence such as ChatGPT has transformed the perception of creative work. In the graphic realm, AI systems like Midjourney, DALL-E, or Adobe Firefly allow the creation of high-quality graphics without the need for artistic skills or hiring a talented designer. Concurrently, the emergence of cryptocurrencies and the associated non-fungible tokens (NFTs) has resulted in radical changes in the creative sector, especially in the art market. Purpose of the article: The aim of this article is to examine the development pace and impact of AI-generated art and NFTs on the global art market, focusing on market trends, dependency on energy prices, segmentation, and how these changes influence artwork pricing and artists’ livelihoods. Research methods: The author has assessed the popularity and development of the NFT market, as well as the main reasons for its collapse in 2022. The author identified possible scenarios for the development of the art market, pointed out the primary potential threats, and highlighted the key determinants of future digital asset valuation. Main findings: Despite initial euphoria, buyers depreciate digital goods, especially those generated by artificial intelligence. They are considered inherently inferior and less valuable. Overproduction of works combined with the availability of AI solutions means that the traditional supply and demand mechanism lowers the price of assets and thereby forces more and more graphic designers, photographers, and painters to abandon their professions. Competition from artificial intelligence is subject to the same supply and demand mechanisms, which reduces the cost of access to quality graphics for entrepreneurs and individuals. Simultaneously, as the market becomes saturated with synthetic goods, there will be a delineation at the segment level, similar to what has happened with artisanal beers, hand-assembled cars, and furniture, or handmade ceramics. An unwritten, “made by humans” certificate will result in a 300–500% higher price for similar goods made by humans compared to works of artificial intelligence. This situation will resemble the division of the clothing or furniture market into mass-produced goods and designer items. Amid all this, the increasingly prominent role of NFTs will be evident, which will also appreciate in value, but due to the ecological taxation resulting from energy consumption that is 100,000 times higher than that of a regular bank payment. [ABSTRACT FROM AUTHOR]

Theoretical background: The article constitutes an analysis of the macroeconomic situation from 2020 to the first quarter of (Q1) in relation to real estate investments. Factors such as the COVID-19 pandemic, the influx of refugees to Poland, and rising inflation had a significant impact on investor behavior in the discussed market. The dynamic macroeconomic situation also led to changes in consumer and tenant preferences, while significantly affecting demand and supply. The years 2020–2023 (Q1) were characterized by a distinct specificity that accentuated the risks associated with real estate investments. This emphasized clear differences in various categories between real estate as investment assets and funds, securities, or other alternative investment methods. Purpose of the article: The aim of the article is to identify the risks associated with real estate investment in Poland during the period from 2020 to 2023 (Q1). It is also crucial to describe the macroeconomic aspects and their impact on the investment real estate market during the mentioned period. Research methods: The article presents the results of an empirical study aimed at identifying factors contributing to the increase in risk associated with real estate investment in the years 2020–2023 (Q1). Additionally, it was significant to verify the financing methods for the purchase of investment properties by the survey participants. The study was based on a survey questionnaire. A total of 250 respondents participated in the study, expressing their willingness to purchase their first or subsequent property for investment purposes during the years 2020–2023 (1Q). Respondents were asked 7 questions, including those related to factors influencing or hindering the completion of investment property transactions in the years 2020–2023 (Q1), as well as the method of financing the purchase and the reason why respondents utilized borrowed capital or relied solely on their own funds. Furthermore the article employed a research methodology that included critical analysis of secondary sources, as well as methods such as analysis, synthesis, description, deduction, induction, and reduction. The Polish and foreign literature related to investment and investment properties was subjected to analysis. Additionally, laws, resolutions, regulations, scientific works from other organizations, and reports were studied, serving as valuable sources of information about the real estate market situation from 2020 to 2023 (Q1). In formulating recommendations, a generalizing-synthesizing method was employed (deduction, reduction, induction). The inductive method aided in analyzing the significance and characteristics of investment properties. On the other hand, the deductive method was used to analyze the issue starting from the macroeconomic situation in Poland and delving into the changes in the investment real estate market. By making a critical analysis of the literature, the reduction technique was applied, thus, verifying the previously formulated hypotheses. Main findings: Based on the conducted analysis, it can be observed that the return on equity (ROE) from real estate investments takes on a negative value when investors partially use borrowed capital. This situation is influenced by high interest rates. However, alongside this factor, there is also a social element related to the high demand for property rentals. In the case of investors investing solely from their own sources, this leads to a return on equity ranging between 2.7% and 3.6% during the analyzed time period. The conducted analysis reveals that macroeconomic, social, and legal factors dynamically shape the demand and supply in the real estate market during the period from 2020 to 2023 (Q1). This is closely related to the decisions of investors aiming to invest their capital in investment properties. [ABSTRACT FROM AUTHOR]

Theoretical background: When making a decision on foreign investments, it is crucial for investors to have a clear understanding of both the potential of the host country and the risks awaiting them. To date, numerous approaches have been developed for assessing the business environment and investment climate (attractiveness) of countries. These developments are based on the research of international organizations, rating agencies, business schools, scientific and research institutions. Among them there are both universal (e.g. Harvard Business School, The Doing Business, Political Risk Services) and specialized (e.g. Method ology of the Bank of Austria, RAEX-Analytics) approaches. The abundance and diversity of methodologies have generated numerous studies aimed at their classification and comparative analysis. Purpose of the article: The aim of this article is to conduct a comparative assessment of selected specialized methodologies for evaluating the investment attractiveness of countries and classify them according to the Applicability Matrix. Research methods: The authors reviewed the literature in the field of investment theory and investment climate assessment, as well as materials containing a direct description of the methodologies for assessing investment climate themselves, algorithms for their application and the results of previous evaluations. The application of the system critical analysis method allowed for a comprehensive examination of the selected approaches and determination of their key characteristics, advantages, and disadvantages. The research procedure also necessitated the utilization of expert assessment method to conduct a weighted comparative analysis of the applicability of the methodologies. Main findings: Within the study, the characteristics, strengths, and weaknesses of the selected specialized methodologies for evaluating investment attractiveness were identified regarding to two key dimensions: information coverage and complexity. The main results include a comparative evaluation of the practical applicability of selected methodologies for assessing the investment climate, as well as their classification into groups with relevant qualitative characteristics according to Applicability Matrix. [ABSTRACT FROM AUTHOR]

Theoretical background: The concept of the economic convergence process is one of the conclusions of neoclassical growth models, especially the Solow–Swan model. According to it, it is possible to catch up with countries with a lower level of economic development to the economic level of developed countries and to finally equalize the economies of countries. However, endogenous economic theories have indicated that economic convergence is not the only realistic scenario of economic development in the modern economy. Purpose of the article: The aim of the research is to determine the degree of beta and sigma economic convergence of the countries of Central and Eastern Europe to the EU-12 in the years 2004–2021. Research methods: Descriptive statistics and regression analysis were used in the research. The regression analysis was based on a beta and sigma convergence study. The first one was aimed at checking whether less developed countries are characterized by a faster rate of economic growth than more developed states, while sigma convergence made it possible to check whether dispersion in the level of socio-economic development in selected countries was levelled in the years 2004–2021. Main findings: According to the results of the research, it is possible to confirm the existence of beta convergence of the CEE countries compared to the EU-12 in terms of economic prosperity, taking into account the average wealth of citizens (GDP per capita). The economic measure, which is key in the study of economic convergence, is the basis for stating that in the years 2004–2021, there was a process of convergence between the groups of the surveyed EU countries. On the other hand, no reduction in the economic differentiation of the countries studied was observed based on the sigma convergence study. [ABSTRACT FROM AUTHOR]

This study examines the convergence/divergence of people's sentiments over Covid-19 in European economies and investigates the role of the support policies that were implemented by governments and central banks. The analysis focuses on 26 EU countries plus the UK, using changes in human mobility to essential places as a proxy for pessimistic/optimistic sentiments. Based on a panel-clustering methodology and multinomial logistic regressions, the results suggest heterogeneous effects of Covid-19 on people's behavior in Europe, which were not drastically reduced through fiscal- or monetary-policy interventions. Heterogeneous Covid-19 impacts are a matter of concern in the EU context, where harmonization is a primary target. Thus, given the need for harmonization, additional EU-wide support policies are necessary in the post-Covid-19 era in order to effectively address asymmetries across member economies and restore the convergence process. [ABSTRACT FROM AUTHOR]

This paper explores the convergence of public expenditures and revenues in the EU28 by applying the panel cluster convergence methodology to updated quarterly data for the period 2002–2019. In order to explore whether the recent debt crisis in EU has affected the harmonisation path, the paper, for the first time, considers both the whole period 2002–2019 and two equally‐sized sub‐periods, that is, 2002–2009 and 2012–2019, which correspond to pre‐and post‐debt‐crisis years. The issue is important for the debate on fiscal harmonisation in Europe, given that the EU's debt crisis has generated many asymmetries across the member states, whilst the design of effective public policies remains a key tool for achieving higher economic growth. Overall, our results provide evidence of divergence, especially for public expenditures since the European debt crisis, which suggests that in the future further efforts towards a stronger harmonisation path will be required by policymakers in EU member states. [ABSTRACT FROM AUTHOR]

This paper investigates the contribution of industrial robots to labor productivity growth and cross-country economic convergence in a sample of 19 developed and 16 emerging countries over the period 1999 to 2019. To answer our research questions, we extend the non-parametric production frontier framework by considering industrial robots as a separate production factor. We find a positive contribution of robotization to labor productivity growth for all countries in our sample. In the period after the financial crisis (2009 to 2019) the contribution of robot capital deepening to productivity growth gained in importance. Over the period 1999 to 2019 we find some evidence of i) unconditional β-convergence (countries with lower initial productivity levels grow faster), ii) a reduction in the dispersion of productivity levels across economies (σ-convergence) and iii) a depolarization (shift from bimodal to unimodal distribution) of the labor productivity distribution in our sample. Accumulation of 'traditional' physical capital is the main driver of β-convergence. Robot capital deepening significantly contributed to economic convergence and the depolarization of the labor productivity distribution, but its effect on the entire shift of the labor productivity distribution is modest and dominated by other drivers of productivity growth such as 'traditional' physical capital deepening and technological change. [ABSTRACT FROM AUTHOR]

Purpose: The attempts made by Saudi Arabia to utilize the soft power of sports over the last decade have helped it envision a promising post-oil future. This study aims to explain the paradigm governing the expansion of sports interactions between Iran and Saudi Arabia. Methods: The statistical population consisted of 11 political science and sports science professionals with written work (e.g., papers, books, notes, or interviews) on public diplomacy, sports diplomacy, and diplomatic interactions in the Middle East, especially between Iran and Saudi Arabia. Sampling was performed through purposive (snowball) sampling and the Delphi method until theoretical saturation. The validity and reliability of this research were evaluated with the contribution of interviewees with Intra-subject agreement of two coders. Results: The research findings indicated that four indirect categories (i.e., geopolitical, ideological, economic, and sociocultural categories) and three direct categories (i.e., sports events, human capital, and sports economy) constituted the paradigm governing the diplomatic interactions between Iran and Saudi Arabia. The key components of indirect and direct categories were economic concepts with a mean of 4.17 and sports economy with a mean of 4.30, respectively. Conclusion: According to the research findings, since Saudi Arabia has put substantial effort into organizing sports events and paid special attention to this area over the last decade, sports can be considered an intriguing means for these two countries to expand their political and economic convergence in the future. [ABSTRACT FROM AUTHOR]

AbstractThis paper uses a structural approach to analyse economic convergence within the West African Economic and Monetary Union (WAEMU) countries. This Regional Economic Community has recorded several postponements of the convergence horizon defined by the Economic Commission. However, it is a framework that is supposed to lead to economic growth and living conditions. So, we estimate a structural convergence model over 1996–2021 for the WAEMU panel of countries. We apply the Generalized Moment Method to address the endogeneity issue in evaluating the coefficient. The analysis confirms no economic convergence within WAEMU countries during this period. This finding means that the economic structures of the WAEMU countries do not come closer over time. Therefore, policymakers must continue implementing initiatives to harmonise regional policies and reinvigorate the regional economic program.

Spatial interactions are important to consider issues like health convergence between the European Union countries and Spanish provinces. Health status is measured by a combination of objective health outcome indicators, such as life expectancy: at birth, at age 65, disability-adjusted life expectancy and healthy life expectancy based on self-perceived health. The period analysed differs from one indicator to another considering 1998–2018. There are two forms of convergence: σ-convergence and absolute β-convergence. Furthermore, the Moran Test is performed to disentangle the degree of spatial dependencies and two models of spatial regression are used to include these dependencies in the absolute β-convergence estimation. Our findings suggest that there is a convergence process among European Union countries and the Spanish provinces. On the other hand, β-convergence is higher in women among European countries and in men for Spanish provinces. Nevertheless, the rise of the dispersion means that there is not clear evidence about trends in the period considered. There are two contributions in our research: to achieve an updated vision of health convergence and to incorporate spatial econometrics in Health Economics research. These insights can help to reduce health inequalities. [ABSTRACT FROM AUTHOR]

This article investigates the dynamic process of convergence among a set of real alternative (art, fine wine, gold, residential real estate) and financial assets in the US context over the period 2003–2019. The objective is to explore the time-varying behavior of their links considering structural breaks coming from exogenous economic and financial shocks that prevent market convergence from being a linear process. Using a procedure that determines endogenously multiple structural breaks and a rolling co-integration framework, we show that price co-movements depend on the global financial and economic environments. Our results confirm the existence of a long-term co-integration relationship among price series but with structural breaks. We find that exogenous shocks lead to a lower degree of convergence of real alternative and conventional assets, and expansion phases promote market convergence between them. Our results contribute to guiding investors in their efforts to diversify their wealth and portfolio. [ABSTRACT FROM AUTHOR]

This paper contributes to the debate on the role of innovation and intellectual property rights (IPRs) in catch‐up policies in developing countries (DCs). We survey the literature on four key points. First, we review the neoclassical and evolutionary theoretical foundations of innovation and catch‐up. Second, we examine why some countries lag behind, in particular in terms of path dependency and multiplicity of convergence dynamics. From this follows the question of how to foster innovation in DCs. We examine the issues of IPRs protection in a third point and industrial policies in a fourth point. Strengthening IPRs protection is often recommended by international institutions. However, the related literature shows that their impact is strongly non‐linear, as the optimal level for DCs is initially low, then increases as the countries develop. This result is robust to a wide range of models and methods. Finally, the literature reveals that industrial policies can be crucial in fostering innovation in DCs, even though their implementation faces serious challenges, in particular the appropriate targeting of industrial policies, and rent‐seeking behaviours in a deteriorated institutional environment. [ABSTRACT FROM AUTHOR]

Bangladesh's remarkable achievements in economic and social progress have placed the country in a position that was unimaginable just 20 years ago. However, has such improvement in development outcomes been equal across all areas within the country? We aim to address this question by analyzing district-level income per capita derived from the 2000 and 2016 rounds of the Household Income and Expenditure Survey. Using models based on standard neoclassical economic convergence theory, which may also account for natural disasters, we find little evidence of convergence. This suggests that income differentials among Bangladesh's 64 districts persist. We also examined the possibility of multiple steady states by estimating models with a three-club structure based on income percentiles as registered in 2000. However, we found no evidence of conditional convergence. Additionally, we explored the potential for endogenous club formation using regression trees and machine learning algorithms. Yet, once again, the results did not support convergence. Overall, our findings reveal no evidence of conditional convergence in income among Bangladesh's districts. This implies that policy implications might vary, with targeted interventions possibly necessary to address the specific factors hindering convergence among similar regions. [ABSTRACT FROM AUTHOR]

Economic integration and globalization are expected to promote economic growth and convergence. This article offers a comparative analysis of the pace of development in terms of GDP per capita in 79 economies from 1970 to 2019. Usually, economic convergence literature aims to establish whether catching-up processes have been successful. This article verifies the existence of growth path similarities to identify clusters of countries that grow at a similar pace and react in a similar way to crises, and compares their dynamics in time. According to the results, coherently with globalization pressures, clusters have become fewer and larger. However, growth path divergences persist and suggest a cluster-based convergence. Integration processes, such as the European Union, have not influenced this trend. The extent to which these clusters are composed of structurally similar economies has been investigated and some consistencies have emerged between the composition of clusters and the classifications provided by the varieties of capitalism theory. [ABSTRACT FROM AUTHOR]

This study analyses 17 care economies using 2016 Luxembourg Income Study data to contribute to extant debate regarding the ongoing utility of care regimes as a classificatory schema for cross-national comparison. Examining similarities and differences in the provision of low-status work in health, education, social work, and domestic services – the 'care economy' – the data reveal devaluation of the labour done by immigrant women care workers, net of national and regime-level variation. In addition, numerous similarities across liberal, corporatist, social democratic, and central and eastern European care regimes emerge, in terms of the overrepresentation of immigrant women in low status care work, and the disproportionate financial penalties these workers incur. Together, findings suggest that notwithstanding national and policy-specific differences, there has been considerable convergence across economies of care towards a 'migrant in the market' model of employment. Such large-scale evidence of this trend calls into question the ongoing efficacy of care regimes for national comparisons of migrant care work under conditions of neoliberal globalization. [ABSTRACT FROM AUTHOR]