Journal Description
Economies
Economies
is an international, peer-reviewed, open access journal on development economics and macroeconomics, published monthly online by MDPI.
- Open Access— free for readers, with article processing charges (APC) paid by authors or their institutions.
- High Visibility: indexed within Scopus, ESCI (Web of Science), EconLit, EconBiz, RePEc, and other databases.
- Journal Rank: JCR - Q2 (Economics) / CiteScore - Q1 (Economics, Econometrics and Finance (miscellaneous))
- Rapid Publication: manuscripts are peer-reviewed and a first decision is provided to authors approximately 22 days after submission; acceptance to publication is undertaken in 5.7 days (median values for papers published in this journal in the first half of 2025).
- Recognition of Reviewers: reviewers who provide timely, thorough peer-review reports receive vouchers entitling them to a discount on the APC of their next publication in any MDPI journal, in appreciation of the work done.
Impact Factor:
2.1 (2024);
5-Year Impact Factor:
2.3 (2024)
Latest Articles
Free Banking Stablecoins
Economies 2025, 13(11), 317; https://doi.org/10.3390/economies13110317 - 6 Nov 2025
Abstract
Monetary policy and central banks faced significant challenges in recent decades, like the Great Recession and the 2008–2009 financial crisis, and the Global Inflation Surge of 2021–2022. The introduction of blockchain technology triggered major financial innovations. Nevertheless, the adoption of digital currencies and
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Monetary policy and central banks faced significant challenges in recent decades, like the Great Recession and the 2008–2009 financial crisis, and the Global Inflation Surge of 2021–2022. The introduction of blockchain technology triggered major financial innovations. Nevertheless, the adoption of digital currencies and stablecoins in particular has been limited and does not have wide and everyday use, like national currencies. To understand non-national currency usage better, we examine free banking in Scotland and the U.S., and specifically note issuance. Lessons from these periods suggest the importance of reserves and coordination mechanisms. Based on these free banking cases, we propose that banks and corporations should have the freedom to issue their own stablecoins. More specifically, we examine the freedom for regulated banks to issue their own stablecoins in a competitive environment, learning from historical precedents how to manage such a system. Free banking stablecoins could provide significant benefits, especially in countries with unstable monetary systems, like emerging economies. Such benefits can range from better monetary policy, inflation targeting, and stability, to a broader range of innovative financial markets and services that can contribute towards entrepreneurship, investments, and economic development. Citizens, entrepreneurs, and domestic and foreign investors can gain from these benefits. At the same time, the banking sector and financial institutions can maintain an important role and further expand and develop by offering innovative financial services in an evolving and challenging environment due to financial technology and disintermediation. Finally, governments and central banks could also benefit from increased financial inclusion, higher economic growth and development, but also from more competition and financial stability, and from financial innovation and technology services.
Full article
(This article belongs to the Special Issue Monetary Policy and Central Banking: Challenges in the Current Environment)
Open AccessArticle
The Cost of Chronicity: Analyzing the Direct Economic Burden of Chronic Diseases in the U.S. from 1996 to 2040
by
Maria Rosa Nieto and Odra A. Saucedo-Delgado
Economies 2025, 13(11), 316; https://doi.org/10.3390/economies13110316 - 5 Nov 2025
Abstract
The mounting prevalence of chronic diseases poses a substantial public health and economic burden, particularly in aging societies such as the United States. Focusing on both direct healthcare expenditure and indirect costs such as productivity loss, this study examines the economic burden of
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The mounting prevalence of chronic diseases poses a substantial public health and economic burden, particularly in aging societies such as the United States. Focusing on both direct healthcare expenditure and indirect costs such as productivity loss, this study examines the economic burden of chronic non-communicable diseases (NCDs) from 1996 to 2040. A multidisciplinary approach is employed, integrating panel data models to identify determinants of real healthcare spending across ten chronic conditions and an Autoregressive Integrated Moving Average (ARIMA) forecasting model to estimate future expenditure as a share of national Gross Domestic Product (GDP). The estimations are based on data available for the period 1996–2015, which serve as the foundation for projections up to 2040. The results show that chronic diseases—especially cardiovascular conditions, diabetes, and respiratory illnesses—are associated with persistent increases in public and private healthcare costs and substantial reductions in labor productivity. Disparities by age, income, and race further intensify this burden. Projections suggest that the financial impact of chronic diseases will escalate significantly through 2040, exceeding the rate of GDP growth. Our study concludes that indirect costs are often underestimated in many models, which limits accurate fiscal planning. We thus underscore the need for integrated economic health forecasting tools to support sustainable, equity-focused health policies. These findings support calls for increased investment in prevention, coordinated chronic care, and more robust data systems to anticipate long-term health and economic outcomes.
Full article
(This article belongs to the Section Health Economics)
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Open AccessArticle
Digital Skills and Digital Transformation Performance in the EU-27: A DESI-Based Nonparametric and Panel Data Study
by
Beata Sofrankova, Elena Sira, Jarmila Horvathova and Martina Mokrisova
Economies 2025, 13(11), 315; https://doi.org/10.3390/economies13110315 - 4 Nov 2025
Abstract
Digital skills represent a key dimension of digital transformation, shaping the innovation potential, competitiveness, and long-term sustainability of the European economy. The aim of this paper is to compare the development of digital skills in EU-27 countries from 2018 to 2024 and identify
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Digital skills represent a key dimension of digital transformation, shaping the innovation potential, competitiveness, and long-term sustainability of the European economy. The aim of this paper is to compare the development of digital skills in EU-27 countries from 2018 to 2024 and identify the strengths and weaknesses within the European context. The analysis is based on secondary data from the Digital Economy and Society Index (DESI). From the total of 36 indicators included in DESI, 12 variables were selected, with an emphasis on 3 core digital-skills metrics: Internet use, ICT specialists, and ICT graduates. To assess their interrelationships and linkages with overall digital transformation performance, non-parametric correlation analyses (Kendall’s Tau and Spearman’s rank correlation) were applied. Furthermore, across-year nonparametric tests (Friedman ANOVA with Kendall’s coefficient of concordance, W) were used to evaluate year-to-year differences and the stability of country rankings over 2018–2024. The empirical results confirmed that higher levels of digital skills are associated with stronger digital transformation performance among EU member states, while significant cross-country disparities persist. Germany and the Nordic economies (Finland, Sweden, and Denmark) achieved the best results, while Southern and Eastern European countries such as Bulgaria, Portugal, and Greece lagged behind. These findings highlight the strategic role of digital education, ICT specialization, and lifelong learning initiatives in promoting sustainable digital transformation and competitiveness across Europe. In addition, panel regression analysis confirmed that digital infrastructure, particularly FTTP coverage and Very High Capacity Networks, is a key driver of digital skills development, whereas the effects of business digitalization appear indirect or delayed. The outcomes provide relevant implications for broadband deployment and user-centric digital public services to support the objectives of the EU Digital Decade 2030. The study contributes to a deeper understanding of the determinants of digital skills and digital transformation performance, providing evidence-based guidance for targeted digital policies aimed at reducing the digital divide and strengthening digital transformation performance within the European Union.
Full article
(This article belongs to the Special Issue Economic Development in the European Union Countries)
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Green Trade, Economic Complexity and Green Indicators: Evidence in Asia Countries with PPML Fixed Effects Model
by
Indraswati Tri Abdi Reviane, Abdul Hamid Paddu, Nur Dwiana Sari Saudi, Hefrizal Handra and Aditya Idris
Economies 2025, 13(11), 314; https://doi.org/10.3390/economies13110314 - 4 Nov 2025
Abstract
This study investigates the relationship between green trade, economic complexity, and green indicators in Asian countries using a Poisson Pseudo Maximum Likelihood (PPML) fixed effects model. This study uses panel data from 33 countries in the Asia region, focusing on the national level
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This study investigates the relationship between green trade, economic complexity, and green indicators in Asian countries using a Poisson Pseudo Maximum Likelihood (PPML) fixed effects model. This study uses panel data from 33 countries in the Asia region, focusing on the national level of each country from 2010 to 2023. The analysis explores how economic sophistication and environmental indicators influence the capacity of economies to engage in sustainable trade. The findings reveal that economic complexity significantly enhances green trade, underscoring the role of knowledge-intensive production structures in fostering environmentally friendly export performance. Among the green indicators, green economic opportunities demonstrate a positive and significant effect on green trade, which indicates that economies allocating greater financial resources to renewable energy and sustainable infrastructure are better positioned to expand their participation in eco-friendly markets. This signals strong trade readiness and market-driven incentives. Conversely, green innovation shows a negative and significant effect, indicating that innovation is not yet translating into export competitiveness, is still costly, and is in an early phase. Moreover, economic complexity and renewable energy show positive and significant effects, reflecting that higher complexity enables the adoption of green technologies, the embedding of sustainability in value chains, and the export of high-value green products. These results suggest that green economic opportunities and regional dynamics play a complementary role in shaping outcomes, with proximity to innovation hubs amplifying the capacity for sustainable trade. The study contributes to the literature by linking economic complexity with green trade in the Asian context, offering evidence-based recommendations to enhance sustainability-driven growth.
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(This article belongs to the Section International, Regional, and Transportation Economics)
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Open AccessArticle
Ripples of Global Fear: Transmission of Investor Sentiment and Financial Stress to GCC Sectoral Stock Volatility
by
Mosab I. Tabash, Suzan Sameer Issa, Marwan Mansour, Azzam Hannoon and Ştefan Cristian Gherghina
Economies 2025, 13(11), 313; https://doi.org/10.3390/economies13110313 - 31 Oct 2025
Abstract
This study analyzes how sectoral stock volatility in the GCC region responds to global financial uncertainty shocks originating from the U.S. (CBOE VIX), Europe (VSTOXX-50), Bitcoin investors’ Sentiment Indices (BSI), and disaggregated global Financial Stress Indicators (FSI) by using both the “Frequency” and
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This study analyzes how sectoral stock volatility in the GCC region responds to global financial uncertainty shocks originating from the U.S. (CBOE VIX), Europe (VSTOXX-50), Bitcoin investors’ Sentiment Indices (BSI), and disaggregated global Financial Stress Indicators (FSI) by using both the “Frequency” and “Time” domain TVP-VAR based connectivity approaches. The “Time” and “Frequency” domain TVP-VAR results indicate that the Energy, Financials, Materials and REIT sectors experience the highest shock spillover from the U.S. and European equity market uncertainty (VIX and VSTOXX-50) for the overall and long-term investment horizons. Whereas, all the five disaggregated global financial stress indicators and BSI transmit higher shocks spillovers towards the sectoral stock conditional volatility of Energy and Materials sectors for the overall and long-term investment horizons. Furthermore, the “Frequency” domain TVP-VAR approach shows that overall shocks spillovers are higher in long-term and intensified during the COVID-19 period. The Energy, Materials, and REIT sectors’ high sensitivity to U.S.VIX and Euro.VSTOXX-50 shocks calls for sector-specific hedging—such as sectors remain least susceptibility to long-term U.S. and European equity risk shocks such as Utility. Over the long-term and overall investment horizons, the Energy and Material sectors’ position as the main shock recipient from all five global financial stress components and the BSI underscores its role as a volatility hub. Policymakers should enforce stress tests and capital buffers for energy and material focused firms, while proactive liquidity management and commodity hedging are vital during global financial stress and BSI spikes to limit funding and operational risks.
Full article
(This article belongs to the Section Macroeconomics, Monetary Economics, and Financial Markets)
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Deterministic and Stochastic Macrodynamic Models for Developing Economies’ Policies: An Analysis of the Brazilian Economy
by
Milton Biage, Pierre Joseph Nelcide and Guilherme de Ferreira Lima, Jr.
Economies 2025, 13(11), 312; https://doi.org/10.3390/economies13110312 - 31 Oct 2025
Abstract
This work verifies the interactions between fiscal and monetary policies in Brazil, involving real GDP, the Interest index, Inflation index, real Exchange rate, and actual public debt, using empirical data from January 1998 to December 2018 to calibrate the model. In the analyses,
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This work verifies the interactions between fiscal and monetary policies in Brazil, involving real GDP, the Interest index, Inflation index, real Exchange rate, and actual public debt, using empirical data from January 1998 to December 2018 to calibrate the model. In the analyses, we employ macrodynamic deterministic and stochastic models of differential equations to examine the interconnection of the endogenous variables and the stability of Brazilian economic policy. In the stochastic model, we introduced stochastic perturbations in the uncontrollable coefficients and additive random walks affecting the endogenous variables. Shocks imposed on the structured dynamic model showed that stochastic innovations propagate more strongly in the monetary variables: inflation, interest rates, and exchange rates. We have also established forecasts for endogenous variables from January 2019 to December 2026 and conducted backtest analyses using the empirical data observed for the endogenous variables from January 2019 to December 2023. The forecast estimations were demonstrated to be satisfactory.
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(This article belongs to the Special Issue Advances in Applied Economics: Trade, Growth and Policy Modeling)
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Urban Vulnerability to Food Insecurity Under Displacement Pressures: Evidence from Tigray, Ethiopia
by
Yibrah Hagos Gebresilassie, Hafte Gebreslassie Gebrihet and Beyene Gebremichael Gessesow
Economies 2025, 13(11), 311; https://doi.org/10.3390/economies13110311 - 31 Oct 2025
Abstract
Food insecurity remains a pressing challenge in conflict zones, where disrupted livelihoods, mass displacement, and eroded institutional support increase household risk. The armed conflict in Ethiopia’s Tigray region erupted in November 2020, devastating infrastructure, displacing over a million people, and amplifying urban hunger.
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Food insecurity remains a pressing challenge in conflict zones, where disrupted livelihoods, mass displacement, and eroded institutional support increase household risk. The armed conflict in Ethiopia’s Tigray region erupted in November 2020, devastating infrastructure, displacing over a million people, and amplifying urban hunger. This study assessed the effects of war-induced internal displacement on the vulnerability of urban households to food insecurity (VFI) in Tigray’s host communities. Using cross-sectional data from 560 households surveyed in May–June 2024, we computed food insecurity using the Household Food Insecurity Experience Scale (FIES) and applied ordered logit regression to identify the drivers of VFI. The findings indicate that 14.46% of households were food-secure, with 21.43%, 35.54%, and 28.57% facing mild, moderate, and severe vulnerability, respectively. Significant predictors included household head age, education, widowed status (especially for women), and humanitarian aid receipt, allied with displacement scale and conflict damages, which elevated vulnerability. These results underscore the need for integrated interventions that blend emergency aid with livelihood restoration. Policies must target at-risk groups, rebuild assets, and enhance access to education and financial resources. Ultimately, facilitating the repatriation of internally displaced persons is vital for post-conflict recovery in the Tigray and analogous settings.
Full article
(This article belongs to the Topic Food Security and Healthy Nutrition)
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Open AccessArticle
Derivation of the Pareto Index in the Economic System as a Scale-Free Network and Introduction of New Parameters to Monitor Optimal Wealth and Income Distributions
by
John G. Ingersoll
Economies 2025, 13(11), 310; https://doi.org/10.3390/economies13110310 - 30 Oct 2025
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The purpose of this work is twofold: first, it aims to derive an exact analytical form of the Pareto index based on the already developed model of the economy as a scale-free network comprising a given amount of either wealth or income (total
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The purpose of this work is twofold: first, it aims to derive an exact analytical form of the Pareto index based on the already developed model of the economy as a scale-free network comprising a given amount of either wealth or income (total number of links, each link representing a non-zero amount or quantum of income or wealth) distributed among its variable number of actors (nodes), all of whom have equal access to the system), and second, it aims to employ the derived analytical form of the Pareto index to determine the degree to which the observed inequality in wealth and in income as measured by the respective empirical values of the Pareto index is inherent in the economic system rather than the result of externally imposed factors invariably reflecting a lack of equal access. The derived analytical form of the Pareto index for wealth or for income is described by an exponential function whose exponent is the inverse of the average number of wealth or of income per actor (one-half of the average number of links per node) in the economic model. This exponent features prominently in the scale-free model of the economy and has a numerical value of 0.69 when the Pareto index attains a numerical value of 2, which signifies the optimal, albeit still unequal, distribution of wealth or of income in the economy under the condition of equal access. Because of the correspondence of the scale-free model of the economy to a physical system comprising quantum particles such as photons in thermodynamic equilibrium or state of maximum entropy in accordance with the laws of statistical mechanics, the inverse of the exponent is proportional to the temperature of the economic system, and a new parameter introduced to describe in a comprehensible manner the deviation in the economic system from its optimal distribution of wealth or income. A comparison of the empirical wealth and income Pareto indexes based on economic data for the four largest economies in the word, i.e., USA, China, Germany, and Japan, which account for over 50% of the global GDP, versus the corresponding optimal values per the scale-free model of the economy reveals interesting trends that can be explained away by the prevailing degrees of equal access, as manifested by inadequate education, health care, and housing, as well as the existence of rules and institutions favoring certain actors over others, particularly with regard to the accumulation of wealth. It has also been determined that the newly introduced parameters in the scale-free model of the economy of temperature as well as the quanta of wealth and of income should be expressed in power purchase exchange rates for meaningful comparisons among national economies over time.
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Open AccessArticle
The Impact of Digital Literacy on Rural Women’s Non-Agricultural Employment—Evidence from China
by
Su Peng and Xihao Feng
Economies 2025, 13(11), 309; https://doi.org/10.3390/economies13110309 - 30 Oct 2025
Abstract
The rapid popularization of digital technology is profoundly altering the employment landscape; especially in rural areas, the digital economy has opened up unprecedented channels to narrow the gender gap in non-agricultural employment. This study utilizes data from the China Family Panel Studies (CFPS)
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The rapid popularization of digital technology is profoundly altering the employment landscape; especially in rural areas, the digital economy has opened up unprecedented channels to narrow the gender gap in non-agricultural employment. This study utilizes data from the China Family Panel Studies (CFPS) from 2014 to 2020, employing a two-way fixed effects model to systematically examine the impact of digital literacy on the non-agricultural employment transition of rural women. The findings demonstrate that integrating social learning theory with digital empowerment theory establishes a dual-pathway analytical framework for examining psychological capital and information environments. Through skill development and resource optimization, digital literacy significantly enhances rural women’s employment participation and occupational re-adaptability, with these effects varying across regions and generations. Furthermore, the study reveals how household economic resources and regional development levels exert differential influences on these outcomes by affecting the acquisition and application of digital skills. These findings expand theoretical understanding of non-agricultural employment mechanisms in the digital era and offer practical policy insights. They also provide evidence-based strategies for enhancing women’s employment quality, advancing gender equality, and promoting rural revitalization, offering valuable guidance for developing countries navigating employment challenges through digital transformation.
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(This article belongs to the Special Issue Economic Indicators Relating to Rural Development)
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Open AccessArticle
Graph Neural Networks and Explainable Spillovers: Global Monetary and Oil Shocks in GCC Financial Markets
by
Amer Morshed
Economies 2025, 13(11), 308; https://doi.org/10.3390/economies13110308 - 29 Oct 2025
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This study investigates how global monetary and oil shocks propagate across advanced and pegged oil economies, focusing on the United States, Germany, the United Kingdom, Saudi Arabia, and the United Arab Emirates over the period 2015–2023. It examines which transmission channels—liquidity, credit, or
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This study investigates how global monetary and oil shocks propagate across advanced and pegged oil economies, focusing on the United States, Germany, the United Kingdom, Saudi Arabia, and the United Arab Emirates over the period 2015–2023. It examines which transmission channels—liquidity, credit, or equity—serve as the dominant conduits of spillovers under fixed exchange rate regimes. To address this question, this paper develops a hybrid causal–computational framework that integrates high-frequency identification of monetary and oil shocks with econometric benchmarks (Local Projections and Time-Varying Parameter VARs) and a Graph Neural Network-based Causal Shock Network (GNN-CSN) enhanced with SHAP explainability. The results show that global monetary shocks significantly raise interbank funding costs in Saudi Arabia and the UAE, while sovereign credit spreads remain largely stable, indicating that liquidity—not credit—constitutes the main transmission channel. Equity markets absorb much of the external adjustment, reflecting sectoral sensitivity to global cycles. By combining causal identification, dynamic estimation, and explainable machine learning, the framework improves predictive accuracy and transparency, offering new evidence on how external shocks shape financial dynamics in resource-dependent, dollar-pegged economies.
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Are Institutions, Innovation, and Education the Key to Sustainable Growth in G20 Economies?
by
Fırat Cem Dogan
Economies 2025, 13(11), 307; https://doi.org/10.3390/economies13110307 - 28 Oct 2025
Abstract
This study aims to examine the fundamental determinants of economic growth in G20 countries in the context of institutional structure, innovation, and education. The significance of the research lies in revealing that sustainable economic growth is shaped not only by traditional macroeconomic factors
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This study aims to examine the fundamental determinants of economic growth in G20 countries in the context of institutional structure, innovation, and education. The significance of the research lies in revealing that sustainable economic growth is shaped not only by traditional macroeconomic factors but also by the effectiveness of institutions, innovation capacity, and human capital investments. The existing literature contains limited studies that comprehensively address the interactions between these three variables and economic growth, specifically in G20 countries. The study applies panel data analysis to G20 countries for the period 2005–2024 and performs panel Granger causality analysis using fixed and random effects models after horizontal section dependence, unit root, and cointegration tests. Empirical findings show that institutions, innovation, and education variables have significant and positive effects on economic growth. Granger causality test results reveal that these variables unidirectionally drive growth, while growth has no feedback effect on these factors. The findings indicate that strengthening institutional reforms, encouraging R&D and innovation investments, and increasing human capital capacity are critical for sustainable and high-quality economic growth for policymakers.
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(This article belongs to the Special Issue The Nexus of Financial Development and Economic Growth: New Evidence in a Changing Global Economy)
Open AccessArticle
Following the Crowd: Unveiling the Impact of Macroeconomic Shocks and Monetary Policy Shifts on Herding Dynamics in the Bangladesh Equity Market
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Muhammad Enamul Haque and Mahmood Osman Imam
Economies 2025, 13(11), 306; https://doi.org/10.3390/economies13110306 - 28 Oct 2025
Abstract
The study examines the dynamics of herding behavior in relation to macroeconomic shocks and monetary policy shifts in the Bangladesh equity market. By employing robust empirical methodologies across distinct market states including bullish, bearish, crisis, extended crisis, and COVID-19 phases, we first demonstrate
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The study examines the dynamics of herding behavior in relation to macroeconomic shocks and monetary policy shifts in the Bangladesh equity market. By employing robust empirical methodologies across distinct market states including bullish, bearish, crisis, extended crisis, and COVID-19 phases, we first demonstrate that herding prevails under conditions of heightened uncertainty. Based on this foundation, we examine how exchange rate fluctuations and interest rate shifts alongside changes in deposit rates and reserve requirements serve as catalysts for collective investor behavior. The findings demonstrate that depreciation of the domestic currency and reductions in interest rates result in significant intensification of herding during vulnerable market phases. Moreover, monetary policy adjustments, predominantly changes in deposit rates and reserve ratios, trigger coordinated trading responses, especially during bearish and crisis markets. These results reveal the profound sensitivity of frontier equity markets to macro-financial signals and underscore the critical role of policy communication and stability in mitigating destabilizing herd dynamics. By bridging macroeconomic policy and investor psychology in a frontier market context, this research offers practical insights that can help regulators and policymakers improve market resilience.
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Open AccessArticle
Cost Analysis of COVID-19 in Australia
by
Imalka Wasana Rathnayaka, Rasheda Khanam and Mohammad Mafizur Rahman
Economies 2025, 13(11), 305; https://doi.org/10.3390/economies13110305 - 27 Oct 2025
Abstract
Access to accurate and reliable information on the cost of COVID-19 is essential for informed socio-economic policy decisions. This paper analyses the economic costs associated with the COVID-19/SARS-CoV-2 pandemic, with a particular focus on Australia. This study examined both the macroeconomic costs measured
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Access to accurate and reliable information on the cost of COVID-19 is essential for informed socio-economic policy decisions. This paper analyses the economic costs associated with the COVID-19/SARS-CoV-2 pandemic, with a particular focus on Australia. This study examined both the macroeconomic costs measured as the foregone gross domestic product attributable to the pandemic and the direct and indirect costs to society. Using a bottom-up costing approach and the WHO-CHOICE model, this study estimates the direct and indirect economic impacts of COVID-19 on the Australian economy. The analysis draws on quarterly and fortnightly data from 2020 to 2022, the period during which the pandemic exerted its most severe economic effects. The results indicate that the per-day inpatient unit cost is estimated at AUD 836, representing the minimum benchmark for direct health costs. The WHO-CHOICE model identifies key determinants of inpatient hospital costs, including hospital bed occupancy, GDP per capita, and hospital admissions, which are found to be highly responsive to changes in inpatient costs. In terms of indirect effects, GDP fell by 1.9 percent below its projected no-COVID level in the first quarter of 2021. Based on these empirical findings, this study proposes several important policy recommendations to enhance economic resilience and healthcare preparedness in future public health crises.
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(This article belongs to the Special Issue Public Health Emergencies and Economic Development)
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Resident-Centred Rural Development Through Place Marketing: Complexity, Sustainability, and Economic Indicators
by
Beáta Kádár and Regina Zsuzsánna Reicher
Economies 2025, 13(11), 304; https://doi.org/10.3390/economies13110304 - 27 Oct 2025
Abstract
Despite the growing importance of rural development, research on place marketing remains fragmented, with no comprehensive systematic literature review (SLR) addressing this field with such focus and detail. The study aims to systematically map scientific publications on place marketing, with a particular focus
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Despite the growing importance of rural development, research on place marketing remains fragmented, with no comprehensive systematic literature review (SLR) addressing this field with such focus and detail. The study aims to systematically map scientific publications on place marketing, with a particular focus on the perspectives of the general public in Central and Eastern Europe (CEE). The research design follows the PRISMA 2020 (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines to ensure transparency and reproducibility of the search process. Using VOSviewer and complementary content analysis, we identified conceptual clusters and traced major thematic trends, revealing the persistent marginalisation of residents’ perspectives and the dominance of competitiveness-oriented approaches. The findings highlight underexplored areas such as community participation, social well-being, and governance mechanisms. Building on these insights, we propose a resident-centred decision-support framework that integrates economic indicators, stakeholder engagement, and sustainability dimensions into rural governance. This framework not only advances theoretical understanding but also provides practical guidance for policymakers and local leaders seeking more resilient, inclusive, and adaptive rural development pathways—particularly within the underrepresented contexts of Central and Eastern Europe.
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(This article belongs to the Special Issue Economic Indicators Relating to Rural Development)
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Bibliometric and Content Analysis on Central Bank Digital Currencies for the Period 2018–2025 and a Policy Model Proposal for Türkiye
by
Ayşegül Bilgiç Ulun
Economies 2025, 13(10), 303; https://doi.org/10.3390/economies13100303 - 21 Oct 2025
Abstract
This study aims to analyze the development of the Central Bank Digital Currency (CBDC) concept and create a design suitable for Turkey’s financial structure. Academic studies scanned in the Web of Science (WOS) database between 2018–2025 were analyzed by bibliometric and content analysis
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This study aims to analyze the development of the Central Bank Digital Currency (CBDC) concept and create a design suitable for Turkey’s financial structure. Academic studies scanned in the Web of Science (WOS) database between 2018–2025 were analyzed by bibliometric and content analysis methods. Most of the studies focused on economics, and the most frequently emphasized topics in the 40 studies analyzed in the content analysis were the importance of CBDC design, its effects on the banking sector, and CBDC with interest rates. By analyzing Turkey’s tax revenues, informal economy, and interest rates, we propose an account-based, interest-bearing retail CBDC model that provides individuals with direct access to the Central Bank of the Republic of Türkiye.
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(This article belongs to the Section Macroeconomics, Monetary Economics, and Financial Markets)
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Deep Reinforcement Learning in a Search-Matching Model of Labor Market Fluctuations
by
Ruxin Chen
Economies 2025, 13(10), 302; https://doi.org/10.3390/economies13100302 - 20 Oct 2025
Abstract
Shimer documents that the search-and-matching model driven by productivity shocks explains only a small share of the observed volatility of unemployment and vacancies, which is known as the Shimer puzzle. We revisit this evidence by replacing the representative firm’s optimization with a deep
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Shimer documents that the search-and-matching model driven by productivity shocks explains only a small share of the observed volatility of unemployment and vacancies, which is known as the Shimer puzzle. We revisit this evidence by replacing the representative firm’s optimization with a deep reinforcement learning (DRL) agent that learns its vacancy-posting policy through interaction in a Diamond–Mortensen–Pissarides (DMP) model. Comparing the learning economy with a conventional log-linearized DSGE solution under the same parameters, we find that while both frameworks preserve a downward-sloping Beveridge curve, learning-based economy produces much higher volatility in key labor market variables and returns to a steady state more slowly after shocks. These results point to bounded rationality and endogenous learning as mechanisms for labor market fluctuations and suggest that reinforcement learning can serve as a useful complement to standard macroeconomic analysis.
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(This article belongs to the Topic Advanced Techniques and Modeling in Business and Economics)
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Mapping China’s Belt and Road Initiative in Europe: Developments and Challenges
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Sara Casagrande and Bruno Dallago
Economies 2025, 13(10), 301; https://doi.org/10.3390/economies13100301 - 19 Oct 2025
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Launched in 2013, China’s Belt and Road Initiative (BRI) was originally devised to link East Asia and Europe through a network of physical and digital infrastructure. This article analyses the BRI’s development in the European context by offering a comparative analysis of 727
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Launched in 2013, China’s Belt and Road Initiative (BRI) was originally devised to link East Asia and Europe through a network of physical and digital infrastructure. This article analyses the BRI’s development in the European context by offering a comparative analysis of 727 BRI and BRI-like projects within 46 European countries from 2005 to 2021. The analysis considers projects’ location, typology, status, and the main enterprises involved in each project. According to our results, there is a “two-speed Europe”. Indeed, while the vast majority of projects are included in the Digital Silk Road (e.g., telecommunication, transfer technology, data centre, 5G, fintech) and are located in North-Western Europe, traditional investments in infrastructure (e.g., ports, roads, railways, SEZ) are concentrated in South-Eastern Europe and the Balkan countries. While North-Western Europe is particularly concerned about cyber security and data protection issues, various South-Eastern European countries look favorably upon the development opportunities offered by the BRI. The BRI is clearly different from the Western approach to development (based on competition and economic liberalism) and integration (based on treaties). The BRI approach—including its platform, leveraging political flexibility, economic pragmatism, ability to mobilize resources, and ability to create synergies between state and business—could take advantage of the flaws of the European integration process. The BRI, with its strengths as well as weaknesses, represents an opportunity for the EU to understand the need for greater economic and political foresight, social cohesion, and economic flexibility to meet the development needs of its member countries. China, too, can draw inspiration from cooperating with EU countries on how to improve the reception of its investment initiatives by focusing on reciprocity, security guarantees, and protection of rights and the environment.
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Open AccessArticle
The Non-Linear Relationship Between External Debt and Economic Growth in African Economies: The Role of Financial Stability, Investment, and Governance Quality
by
Makram Nouaili
Economies 2025, 13(10), 300; https://doi.org/10.3390/economies13100300 - 17 Oct 2025
Abstract
This paper estimates a nonlinear asymmetric dynamics model in the threshold panel data framework to study the extent to which the quality of governance, investment, and financial stability affect the impact of external debt on economic growth in 47 African countries from 2002
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This paper estimates a nonlinear asymmetric dynamics model in the threshold panel data framework to study the extent to which the quality of governance, investment, and financial stability affect the impact of external debt on economic growth in 47 African countries from 2002 to 2022. As a general approach, we use the first-differenced GMM estimator, which allows both threshold variables and regressors to be endogenous. The results confirm that external debt becomes a drag on growth beyond a threshold of 53.49% relative to GDP. Furthermore, the results show that external debt appears to stimulate economic growth mainly by orienting it towards productive investment. In addition, the results show that better governance quality and financial stability accentuate the positive impact of external debt on economic growth. Based on the findings, this study proposes several policy recommendations.
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(This article belongs to the Section Economic Development)
Open AccessArticle
Maternity Leave Reform and Women’s Labor Outcomes in Colombia: A Synthetic Control Analysis
by
Jhon James Mora, Diana Yaneth Herrera Duque, Juan Tomas Sayago and Andres Cendales
Economies 2025, 13(10), 299; https://doi.org/10.3390/economies13100299 - 17 Oct 2025
Abstract
This article examines the effects of maternity leave (Law 1822 of 2017) on the Colombian women’s labor market. Using biannual cohorts during the working life cycle of women (18 to 57 years old) reveals that the law’s implementation reduced the hours worked and
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This article examines the effects of maternity leave (Law 1822 of 2017) on the Colombian women’s labor market. Using biannual cohorts during the working life cycle of women (18 to 57 years old) reveals that the law’s implementation reduced the hours worked and the real hourly wage for younger women compared to older women. Average treatment effects show that the difference between the hours worked after 2017 was 0.917 (treatment vs. control), and before, it was 1.714 h worked (treatment vs. control). Differences show a reduction of 41 h per cohort and year (approximately one week worked). Synthetic control analysis shows that young cohort experienced a reduction of 0.007 U$ cents in 2017 and a reduction of 2.2 h worked in 2017. Our results highlight the importance of differential policies related to maternity leave by age (cohort) when analyzing the incorporation of women into the labor market.
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(This article belongs to the Section Labour and Education)
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Open AccessArticle
Female Wage Employment and Fertility in Kenya
by
Germano Mwabu, Radu Ban, Joy Mueni Kiiru, Regina Gathoni Mwatha and T. Paul Schultz
Economies 2025, 13(10), 298; https://doi.org/10.3390/economies13100298 - 16 Oct 2025
Abstract
The paper examines the association between fertility and female wage employment in Kenya using nationally representative cross-sectional data collected by the Kenya’s National Bureau of Statistics, a government-owned statistical organization. Two findings emerge from our analysis. The first finding is that female wage
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The paper examines the association between fertility and female wage employment in Kenya using nationally representative cross-sectional data collected by the Kenya’s National Bureau of Statistics, a government-owned statistical organization. Two findings emerge from our analysis. The first finding is that female wage employment is negatively correlated with the number of births. Incompatibility of childrearing with wage employment is one of the main explanations for this evidence. The other finding is a much larger magnitude of the negative association between wage employment and male births relative to female newborns, but the difference in the estimated gender-specific coefficients is statistically insignificant. However, there is need for further significance tests on the difference between the gendered coefficients because the larger drop in the number of male births relative to female, as female wage employment expands, has strong support in the biomedical literature. The relevance of the second finding in the context of the biomedical literature on the link between a child’s gender at birth and the environment in which the mother works and lives provides a justification for further research on this issue. The tentative findings of the paper point to labor market policies that could be explored in Kenya and elsewhere in Africa to address the problem of excess fertility, and thus enhance women’s health, agency, and socioeconomic empowerment.
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(This article belongs to the Special Issue Addressing Health Financing Vulnerabilities in Africa Due to the COVID-19 Pandemic)
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