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: CiteScore - Q1 (Economics, Econometrics and Finance (miscellaneous))
- Rapid Publication: manuscripts are peer-reviewed and a first decision is provided to authors approximately 21.4 days after submission; acceptance to publication is undertaken in 6.5 days (median values for papers published in this journal in the second half of 2023).
- 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:
2.6 (2022);
5-Year Impact Factor:
2.7 (2022)
Latest Articles
Investigating the Effects of the COVID-19 Pandemic on Stock Volatility in Sub-Saharan Africa: Analysis Using Explainable Artificial Intelligence
Economies 2024, 12(5), 112; https://0-doi-org.brum.beds.ac.uk/10.3390/economies12050112 - 8 May 2024
Abstract
This study examines the impact of the COVID-19 pandemic on sector volatility in sub-Saharan Africa by drawing evidence from two large and two small stock exchanges in the region. The analysis included stock-specific data, COVID-19 metrics, and macroeconomic indicators from January 2019 to
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This study examines the impact of the COVID-19 pandemic on sector volatility in sub-Saharan Africa by drawing evidence from two large and two small stock exchanges in the region. The analysis included stock-specific data, COVID-19 metrics, and macroeconomic indicators from January 2019 to July 2022. This study employs generalized autoregressive conditional heteroskedasticity (GARCH) models to estimate volatility and Explainable Artificial Intelligence (XAI) in the form of SHapley Additive exPlanations (SHAP) to identify significant factors driving stock volatility during the pandemic. The findings reveal significant volatility increases at the onset of the pandemic, with government stringency measures leading to increased volatility in larger exchanges, while the introduction of vaccination programs helped to reduce volatility. Weaker macroeconomic fundamentals impact volatility in smaller exchanges. The healthcare sector has emerged as the most resilient, while non-essential sectors, such as consumer discretionary, materials, and real estate, face greater vulnerability, especially in smaller exchanges. The research findings reveal that the heightened stock market volatility observed was mainly a result of the government’s actions to combat the spread of the pandemic, rather than its outbreak. We recommend that governments introduce sound policies to balance public health measures and economic stability, and that investors diversify their investments to reduce the impact of pandemics.
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(This article belongs to the Section Macroeconomics, Monetary Economics, and Financial Markets)
Open AccessArticle
Analyzing Fiscal Sustainability in Latin American Countries: A Time–Frequency Perspective
by
Nini Johana Marín-Rodríguez, Juan David Gonzalez-Ruiz and Alejandro Peña
Economies 2024, 12(5), 111; https://0-doi-org.brum.beds.ac.uk/10.3390/economies12050111 - 8 May 2024
Abstract
This study examines fiscal sustainability in Latin American countries from a unique time–frequency perspective, focusing on Brazil, Chile, Colombia, Peru, and Mexico from 1997 to 2022. Using wavelet coherence analysis, it uncovers dynamic relationships between government revenue and expenditure over different time horizons,
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This study examines fiscal sustainability in Latin American countries from a unique time–frequency perspective, focusing on Brazil, Chile, Colombia, Peru, and Mexico from 1997 to 2022. Using wavelet coherence analysis, it uncovers dynamic relationships between government revenue and expenditure over different time horizons, revealing varying causality patterns across countries and periods. The findings underscore the importance of balanced fiscal planning and resource allocation to ensure fiscal sustainability and support economic growth. This research contributes to a deeper understanding of Latin America’s economic landscape and provides valuable insights for policymakers, economists, and stakeholders concerned with the region’s economic stability and development.
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(This article belongs to the Special Issue Fiscal Policy and Macroeconomic Stability)
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Examining the Shifting Dynamics of the Beveridge Curve in the Turkish Labor Market during Crises
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Jamilu Said Babangida, Asad Ul Islam Khan and Ahmet Faruk Aysan
Economies 2024, 12(5), 110; https://0-doi-org.brum.beds.ac.uk/10.3390/economies12050110 - 7 May 2024
Abstract
Following the global financial crisis, an increasing amount of attention has been directed towards examining the Beveridge curve (BC), which indicates the relationship between unemployment and vacancy rates. This research analyzes the unemployment–vacancy rate dynamics in the Turkiye labor market during both the
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Following the global financial crisis, an increasing amount of attention has been directed towards examining the Beveridge curve (BC), which indicates the relationship between unemployment and vacancy rates. This research analyzes the unemployment–vacancy rate dynamics in the Turkiye labor market during both the global financial crisis and COVID-19 periods. The findings from this study demonstrate that the labor market exhibits deteriorating efficiency, as evidenced by movement of BC away from the origin. The unemployment and vacancy rates both increase over time, with a leftward (rightward) shift of BC during the global financial crisis (COVID-19) period. The study also reveals that both crises had no significant effect on unemployment–vacancy rate dynamics. In the Turkish labor market, there exists a situation where the vacancy rate is in shortfall of the unemployment level in Turkiye. This creates a positive relationship between these two factors. The labor market in Turkiye experiences inefficiencies as it struggles to generate a sufficient number of jobs to meet the demand from job seekers.
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(This article belongs to the Special Issue Labour Economics)
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Is There a Link between Remittances, Capital Formation, Structural Transformation and Economic Growth? A Dynamic Panel Analysis for Latin America under the PVAR Approach
by
Eduardo Germán Zurita Moreano, María Gabriela González Bautista, Juan Pablo Vallejo Mata and Víctor Dante Ayaviri-Nina
Economies 2024, 12(5), 109; https://0-doi-org.brum.beds.ac.uk/10.3390/economies12050109 - 6 May 2024
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The literature has mainly focused on analyzing the relationship of remittances with economic growth and social welfare, neglecting more complex aspects where remittances can have relevant implications. To contribute to the literature, the objective of this research is to examine the dynamic relationship
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The literature has mainly focused on analyzing the relationship of remittances with economic growth and social welfare, neglecting more complex aspects where remittances can have relevant implications. To contribute to the literature, the objective of this research is to examine the dynamic relationship between remittances, capital formation, structural transformation and economic growth in 15 Latin American countries during the period 1996–2019. To meet the objective, a panel vector autoregressive regression (PVAR) model was estimated, focusing on the analysis of the impulse-response function and variance decomposition. The results show a positive effect of remittances on economic growth and capital formation and a negative effect of remittances on structural transformation for initial periods and positive for later periods, framing a non-linear relationship. In addition, it was determined that structural transformation does not have a significant impact on economic growth. Finally, it was found that capital formation has a partial positive effect on economic growth. It is concluded that public policies should generate support mechanisms for the efficient channeling of these resources so that they become engines of growth.
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Open AccessArticle
The Impact of the Stimulus Packages on the Economy during COVID-19 in Bangladesh: A Mixed-Method Approach
by
Ruhul Amin, Nahian Rahman, Samira Tasnim, Sima Rani Dey and Mohammad Tareque
Economies 2024, 12(5), 108; https://0-doi-org.brum.beds.ac.uk/10.3390/economies12050108 - 5 May 2024
Abstract
With the unexpected onset of COVID-19, governments across the world responded with a range of preventive measures, including the imposition of lockdowns. To mitigate the adverse effects of lockdowns arising from supply chain shocks and employment loss, governments worldwide chose to implement policies
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With the unexpected onset of COVID-19, governments across the world responded with a range of preventive measures, including the imposition of lockdowns. To mitigate the adverse effects of lockdowns arising from supply chain shocks and employment loss, governments worldwide chose to implement policies to stimulate their economies and keep them working. This study assesses the impact and effectiveness of four of these packages in Bangladesh, employing a mixed-method approach. These packages include “salary support for workers in export-oriented RMG industries”, “working capital loans for affected industries and service sectors”, “working capital loans for cottage, micro, small, and medium enterprises”, and initiatives for “revitalizing the rural economy and job creation”. Each package was examined individually because of their differences in beneficiary groups, implementation methods, and individual objectives. Quantitative analysis involved propensity score matching (PSM), the difference in difference model (DID), and structural equation modelling (SEM). Stakeholders, including policy implementers, Bangladesh Bank officials, policy analysts, academics, workers, and beneficiaries, contributed to the qualitative analysis through extensive key-informant interviews, providing a comprehensive assessment of intervention outcomes. Ultimately, the results show that the packages achieved their socio-economic relief objectives for beneficiaries. The research examined both positive impacts and challenges in their implementation. It suggests that all four packages successfully achieved their goals, such as providing social and economic support, sustaining livelihoods, addressing marginalized groups’ needs, ensuring survival for large industries and small businesses, and promoting employment. In order to better address future shocks, establishing a beneficiary database integrated with the national system is recommended for smoother policy rollout. Despite acknowledged limitations, including challenges in beneficiary identification, data availability, and time constraints, the study’s unbiased estimations provide valuable insights to guide future policy directions in similar situations.
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(This article belongs to the Special Issue Economics after the COVID-19)
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Water For Food in Euphrates–Tigris River
by
Abdelmoneim Bahyeldin Mohamed Metwally, Mai M. Yasser and Merna Ahmed
Economies 2024, 12(5), 107; https://0-doi-org.brum.beds.ac.uk/10.3390/economies12050107 - 3 May 2024
Abstract
Water scarcity is an important threat to food security in the Euphrates–Tigris river. Water scarcity is a huge worldwide problem that results from the rapid increase in water demand, which exceeds the amount of available water. The most significant problems currently affecting countries
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Water scarcity is an important threat to food security in the Euphrates–Tigris river. Water scarcity is a huge worldwide problem that results from the rapid increase in water demand, which exceeds the amount of available water. The most significant problems currently affecting countries are food insecurity water scarcity. The Euphrates–Tigris river countries suffer from different political issues, such as the Syrian war and internal civil conflicts in Iraq. In addition, this area consists of only three countries: Iraq, Syria, and Turkey, but it affects the entire Middle East. Turkey has established many irrigation projects compared to Iraq, which still suffers from the previous American invasion. Therefore, this study examines the Euphrates–Tigris river (using two countries) to examine the relationship between water scarcity and food security from 1992 to 2020. This study will be conducted using a fixed and random regression approach over 18 years. The results show a negative relationship between water scarcity and food security in the short run, at a 10% significance level, and a long-term positive relationship of 1%. Thus, the use of research and development and the encouragement of investments will help policymakers to develop a nexus between water scarcity and food security.
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(This article belongs to the Special Issue Demographics and Regional Economic Development)
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Influence of the Russia–Ukraine War and COVID-19 Pandemic on the Efficiency and Herding Behavior of Stock Markets: Evidence from G20 Nations
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Bilal Ahmed Memon, Faheem Aslam, Hafiz Muhammad Naveed, Paulo Ferreira and Omonjon Ganiev
Economies 2024, 12(5), 106; https://0-doi-org.brum.beds.ac.uk/10.3390/economies12050106 - 1 May 2024
Abstract
Efficiency in stock markets is essential for economic stability and growth. This study investigates the efficiency and herding behavior of the stock markets from the top economies of the world (known as G20 countries). We classify stock market indices using MSCI classification for
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Efficiency in stock markets is essential for economic stability and growth. This study investigates the efficiency and herding behavior of the stock markets from the top economies of the world (known as G20 countries). We classify stock market indices using MSCI classification for the developed and emerging markets to provide a comparative examination using the latest data and by employing the robust multifractal detrended fluctuation (MFDFA) method. In addition to the full sample, the analysis uses sub-sample periods to reveal the hidden features and efficiencies of the G20 markets during the Russia–Ukraine War and COVID-19 for the first time. The findings show the availability of varied multifractality among all G20 stock markets during the overall and crisis periods, exhibit long-range correlations, and may support the fractal market hypothesis. In addition, Italy remains the least efficient, while Germany remains the most efficient stock market. The sub-sample results further reveal unevenness in the local fluctuations and resultant higher inefficiency considering the sheer magnitude and impact of crises on the G20 stock markets. However, the efficiency of developed stock markets performed better as compared to emerging markets. The study of G20 stock markets is useful and provides several implications for a wider audience.
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(This article belongs to the Special Issue Economics after the COVID-19)
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The Nexus between Oil Consumption, Economic Growth, and Crude Oil Prices in Saudi Arabia
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Kolthoom Alkofahi and Jihen Bousrih
Economies 2024, 12(5), 105; https://0-doi-org.brum.beds.ac.uk/10.3390/economies12050105 - 29 Apr 2024
Abstract
The energy revolution in Saudi Arabia has accelerated significantly since 2016, driven by the National Vision 2030. Significant changes to energy subsidies took place, and the renewable energy sector has seen rapid growth. The paper presents an empirical analysis of the Saudi energy
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The energy revolution in Saudi Arabia has accelerated significantly since 2016, driven by the National Vision 2030. Significant changes to energy subsidies took place, and the renewable energy sector has seen rapid growth. The paper presents an empirical analysis of the Saudi energy transition by emphasizing the drivers of fuel consumption in KSA. It primarily attempts to explore the long-run (LR) connection between oil consumption and several economic variables such as economic growth, crude oil prices, investment, and the labor force in Saudi Arabia (KSA) from 1991 up to 2021. The paper implemented the vector error correction model (VECM) and performed different diagnostic tests to provide more evidence about the validity and robustness of the tests. The empirical findings highlighted how important the labor force, savings, GDP, and crude oil price are in determining oil consumption for KSA. The law of demand is significantly present, which negatively affects oil consumption for KSA as an oil exporting country. The results also supported the existence of a long-term direct correlation between the variables and oil consumption. Furthermore, the short-term estimation highlighted that only saving has a negative impact on oil consumption for a single lagged period. Our findings provide governments and regulators with further incentive to slow the expansion in oil consumption, as a larger labor force is demanding more oil to attain the target, faster economic growth, and increased savings are all contributing factors. Our findings are significant because they can assist policymakers, investors, and regulators in generating more efficient oil substitutes and making them affordable for the economy.
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Navigating Kazakhstan’s Sustainable Economic Future: A Study of Tech Innovation, Infrastructure, and Resource Management
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Gani Rakhymzhan, Nazym Esbergenovna Dabyltayeva, Gaukhar Sakhanova, Elvira Abdulmitovna Ruziyeva and Assemgul Bauirzhanovna Bekmukhametova
Economies 2024, 12(5), 104; https://0-doi-org.brum.beds.ac.uk/10.3390/economies12050104 - 28 Apr 2024
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In a quest to illuminate Kazakhstan’s economic horizon within a sustainable context, this study delved into the complex interplay of sustainable tech innovation, investment in sustainable infrastructure, and natural resource management. The study assesses the potential for green economy development by introducing the
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In a quest to illuminate Kazakhstan’s economic horizon within a sustainable context, this study delved into the complex interplay of sustainable tech innovation, investment in sustainable infrastructure, and natural resource management. The study assesses the potential for green economy development by introducing the adoption of sustainable practices as the mediator and corporate social responsibility as the moderator in the examined relationships. We employed a cluster sampling technique, focusing on government sector employees in Kazakhstan. The choice of this sector stemmed from its pivotal role in shaping national policies. A time-lagged approach was incorporated, collecting data at two distinct time points to capture the dynamic evolution of green initiatives over time. As the data unfolded, sustainable tech innovation, investment in sustainable infrastructure, and natural resource management emerged as significant predictors for adopting environmentally responsible practices leading to green economy development. This development process, we found, was further augmented by the moderating influence of corporate social responsibility. Hence, our findings contribute both practical and theoretical insights to the discourse on sustainable economic development. In addressing the intricate interplay of technological, infrastructural, and resource-related factors, this study provides guidance for Kazakhstan’s ongoing transition towards a more sustainable and resilient economic trajectory.
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Open AccessArticle
Assessing the Impact of COVID-19 on Capital Structure Dynamics: Evidence from GCC Economies
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Amanj Mohamed Ahmed, Deni Pandu Nugraha and István Hágen
Economies 2024, 12(5), 103; https://0-doi-org.brum.beds.ac.uk/10.3390/economies12050103 - 26 Apr 2024
Abstract
This study seeks to investigate the potential effects of the recent pandemic (COVID-19) on capital structure dynamics. The Gulf Cooperation Council (GCC) is a fascinating topic for this study because of its distinct economic characteristics. The analysis draws upon a cross-country dataset covering
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This study seeks to investigate the potential effects of the recent pandemic (COVID-19) on capital structure dynamics. The Gulf Cooperation Council (GCC) is a fascinating topic for this study because of its distinct economic characteristics. The analysis draws upon a cross-country dataset covering 208 non-financial listed firms across five GCC countries, with data spanning the years 2010 to 2022. Capital structure is a dependent variable and is measured by total debt to equity, equity multiplier, and short-term debt ratios, while the COVID-19 pandemic, firm size growth, return on assets, tangibility, and growth were applied as independent variables. Using the generalized least squares (GLS) method, findings demonstrated that COVID-19 has a significant and positive influence on debt-to-equity and equity multiplier ratios but a negative one on short-term debt ratio. Thus, non-financial firms increased their debt financing and transferred debt from short-term to long-term funding. In addition, firm-specific factors, such as firm size, tangibility, and macroeconomic factors, such as GDP growth, positively and significantly impact capital financing. Conversely, profitability has a negative relationship with financial leverage. There is a lack of empirical research on how COVID-19 affects the financial structure of non-financial listed companies in GCC nations. Consequently, by filling the previously specified gaps, this study provides proof to support the idea of using debt financing to raise capital for economic recovery. GCC policymakers need to give priority to ensuring that firms have convenient access to inexpensive finance in light of the financial consequences caused by COVID-19. This will guarantee that companies have the resources necessary to bounce back and support economic growth.
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(This article belongs to the Special Issue Economics after the COVID-19)
Open AccessArticle
Fuel Price Networks in the EU
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Fotios Gkatzoglou, Theophilos Papadimitriou and Periklis Gogas
Economies 2024, 12(5), 102; https://0-doi-org.brum.beds.ac.uk/10.3390/economies12050102 - 26 Apr 2024
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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
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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.
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(This article belongs to the Special Issue Complex Networks on Macroeconomics and Finance: Models, Methods, Applications)
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Family Restrictions at Work
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Enriqueta Aragones
Economies 2024, 12(5), 101; https://0-doi-org.brum.beds.ac.uk/10.3390/economies12050101 - 26 Apr 2024
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This paper analyzes one of the causes of the current gender-unbalanced situation in the labor market: the discrimination that individuals face at work due to their commitment to unpaid care work. It aims at finding mechanisms that may induce a change from the
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This paper analyzes one of the causes of the current gender-unbalanced situation in the labor market: the discrimination that individuals face at work due to their commitment to unpaid care work. It aims at finding mechanisms that may induce a change from the current unbalanced situation to a world in which males and females are found in more equal shares in all professions and at all levels. I construct a formal model that includes the heterogeneity of individuals regarding their family commitments and I investigate how it affects the individual’s optimal labor market participation. The welfare of individuals with commitment to family duties is reduced for two different reasons: for not being able to participate as much in the labor market and thus receive a lower labor income and for not being able to contribute as much to their family commitments. I compare the results for the female and male sections of the society and I illustrate the observed gender gaps in terms of labor market participation, income levels, and the overall utility obtained. I find that even though the gender wage gap may be alleviated with reductions in the cost associated to unpaid care work, the gender utility gap will persist.
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(This article belongs to the Section Labour and Education)
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The Manufacturing Reshoring Phenomenon: A Policy-Oriented Analysis of Factors Driving the Location Decision
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Xavier Bornert and Dario Musolino
Economies 2024, 12(5), 100; https://0-doi-org.brum.beds.ac.uk/10.3390/economies12050100 - 25 Apr 2024
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For several decades, multinational enterprises (MNEs) have offshored their manufacturing activities to low-cost countries to achieve significant productivity gains. However, changes in the relative competitiveness of countries, social effects of deindustrialization in advanced economies and the vulnerability of global value chains (GVCs) revealed
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For several decades, multinational enterprises (MNEs) have offshored their manufacturing activities to low-cost countries to achieve significant productivity gains. However, changes in the relative competitiveness of countries, social effects of deindustrialization in advanced economies and the vulnerability of global value chains (GVCs) revealed by the COVID-19 pandemic have encouraged some firms, supported by governments, to “reshore” part, or all of their offshore industrial operations back to their home country. Reshoring decisions are motivated by a variety of endogenous and exogenous factors that are empirically analyzed in this paper to understand how reshoring policies implemented by governments can more effectively address the factors driving the firms’ location decisions. A review of the reshoring policies implemented in Europe, the UK and the US is conducted to provide general policy recommendations regarding policy instruments, SMEs, innovation and regionalization of value chains. This paper fills a gap in the literature by connecting the micro-level supply chain management analysis of firms’ reshoring drivers with the macro-level economic policy perspective on reshoring. The review of existing reshoring policies calls for an in-depth analysis by the manufacturing sector and at the local level.
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(This article belongs to the Special Issue Global Value Chains—Development Challenges in Uncertain Circumstances)
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Exploring the Macroeconomic Effects of Renewable Energy in Tajikistan: An Empirical Analysis
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Mirzosaid Sultonov, Behruz Hasanov, Pirumsho Valizoda and Fumiaki Inagaki
Economies 2024, 12(5), 99; https://0-doi-org.brum.beds.ac.uk/10.3390/economies12050099 - 25 Apr 2024
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Tajikistan holds the eighth position globally in terms of hydropower potential, estimated at 527 terawatt-hours (TWh), with a technically exploitable capacity of 317 TWh. Only 4–6 percent of this immense potential is currently utilized. In this paper, employing a combination of the Johansen
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Tajikistan holds the eighth position globally in terms of hydropower potential, estimated at 527 terawatt-hours (TWh), with a technically exploitable capacity of 317 TWh. Only 4–6 percent of this immense potential is currently utilized. In this paper, employing a combination of the Johansen cointegration test, vector autoregression, and the Granger-causality test on annual data from 1993 to 2021, we examine the causality relationship between electricity production and key macroeconomic variables, including gross domestic product (GDP), GDP per capita, exports, imports, final consumption, capital investment, and employment, in Tajikistan. The empirical findings reveal a positive unidirectional causality from electricity production to exports and imports. A positive bidirectional or feedback causality is found between electricity production and variables such as GDP, GDP per capita, final consumption, and employment. No causality relationship between electricity production and variables such as trade openness and capital investment is observed. The exploration of complex causal relationships between electricity production and key macroeconomic variables in Tajikistan, as revealed in this study, offers a modest yet meaningful addition to academic discourse. It presents insights that may inform policymakers and stakeholders, albeit with a recognition of the limitations inherent in the findings. These insights could potentially guide the formulation of sustainable development strategies and shed light on the underutilized potential of the country’s hydropower resources.
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Monetary Policy Spillovers and Inter-Market Dynamics Perspective of Preferred Habitat Model
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Abdul Wahid and Oskar Kowalewski
Economies 2024, 12(5), 98; https://0-doi-org.brum.beds.ac.uk/10.3390/economies12050098 - 24 Apr 2024
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This study advances the understanding of the Preferred Habitat Model’s capacity to shed light on the inter-market transfer of mean returns and the diffusion of price volatility in Pakistani investment markets. It examines the extent to which returns in one market exert a
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This study advances the understanding of the Preferred Habitat Model’s capacity to shed light on the inter-market transfer of mean returns and the diffusion of price volatility in Pakistani investment markets. It examines the extent to which returns in one market exert a systematic influence on returns across others under the potential sway of interest rate policy shifts, USD exchange rate volatility, and domestic inflation trends. Employing a methodological arsenal that includes the GARCH process, enhanced by Dynamic Conditional Correlations (DCC), as well as the Markov Switching Model, this research assesses the propagation of mean returns and volatility across markets. The analysis uncovers significant linkages between monetary policy and stock market indices, underscoring the profound impact of monetary policy on cross-market performance transmission. These insights are pivotal for regulators overseeing the nuanced interaction between monetary policy and market performance. They are crucial for local and international investors interested in developing economies, especially in Pakistan’s markets.
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(This article belongs to the Section Macroeconomics, Monetary Economics, and Financial Markets)
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Tax Complexity and Firm Tax Evasion: A Cross-Country Investigation
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Prianto Budi Saptono, Gustofan Mahmud, Fauzilah Salleh, Intan Pratiwi, Dwi Purwanto and Ismail Khozen
Economies 2024, 12(5), 97; https://0-doi-org.brum.beds.ac.uk/10.3390/economies12050097 - 24 Apr 2024
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This paper endeavours to investigate whether a complex tax system influences firms’ propensity toward tax evasion across countries. To achieve the objectives of this study, we utilised the World Bank Enterprise Survey and the World Bank’s Doing Business databases covering more than 46,000
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This paper endeavours to investigate whether a complex tax system influences firms’ propensity toward tax evasion across countries. To achieve the objectives of this study, we utilised the World Bank Enterprise Survey and the World Bank’s Doing Business databases covering more than 46,000 companies from 83 countries. Our study revealed that the increased time required to pay taxes and higher total tax payments were associated with a greater extent and incidence of tax evasion among firms. The consistency of these benchmark regression results was proven through endogeneity analysis and several robustness tests. Furthermore, our heterogeneity analyses showed that the effect of tax complexity on firm tax evasion was more prominent in low- and lower-middle-income countries and also in the primary industry. These findings offer promising evidence for policymakers, particularly in low- and lower-middle-income countries where the majority of companies operate in the primary industry. Addressing the complexity of the tax system could potentially mitigate the adverse impact on tax evasion levels in these countries. Furthermore, our spatial analysis provides valuable insights, emphasising the potential impact of tax complexity in neighbouring countries and underscoring the necessity for policymakers in the home countries to strategise on harmonising and streamlining their tax systems.
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Exchange Rate Regimes in India: Central Bank Interventions and Purchasing Power Parity in the Context of ASEAN Currencies
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Angad Siddharth, Constantinos Alexiou and Sofoklis Vogiazas
Economies 2024, 12(4), 96; https://0-doi-org.brum.beds.ac.uk/10.3390/economies12040096 - 19 Apr 2024
Abstract
In this study spanning four decades, we explored the relationship between the Reserve Bank of India’s (RBI) interventions and the validity of Purchasing Power Parity (PPP) across two distinct exchange rate regimes: the fixed exchange rate regime (1975–1993) and the managed floating regime
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In this study spanning four decades, we explored the relationship between the Reserve Bank of India’s (RBI) interventions and the validity of Purchasing Power Parity (PPP) across two distinct exchange rate regimes: the fixed exchange rate regime (1975–1993) and the managed floating regime (1994–2015). Applying an error correction model (VECM), our analysis reveals that under the fixed exchange rate regime, the environment is conducive to PPP due to frequent interventions by the RBI. However, in the managed floating regime, selective interventions weaken the applicability of PPP. These findings align with prior research but also hint at the limitations of linear models in capturing the intricate dynamics of PPP when central banks are involved. Nonlinear models may hold the key to unraveling the relationship more effectively.
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(This article belongs to the Collection International Financial Markets and Monetary Policy)
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CO2 Emissions, Remittances, Energy Intensity and Economic Development: The Evidence from Central Asia
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Bekhzod Kuziboev, Olimjon Saidmamatov, Elbek Khodjaniyazov, Jakhongir Ibragimov, Peter Marty, Davron Ruzmetov, Umidjon Matyakubov, Ekaterina Lyulina and Dilshad Ibadullaev
Economies 2024, 12(4), 95; https://0-doi-org.brum.beds.ac.uk/10.3390/economies12040095 - 17 Apr 2024
Abstract
Remittances are a crucial part of economic expansion, especially in Central Asia. Nevertheless, it is not possible to ignore its environmental damage. This paper is a pioneer in investigating the association among CO2 emissions, remittances, energy consumption and economic development in Central
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Remittances are a crucial part of economic expansion, especially in Central Asia. Nevertheless, it is not possible to ignore its environmental damage. This paper is a pioneer in investigating the association among CO2 emissions, remittances, energy consumption and economic development in Central Asian countries (Uzbekistan, Kazakhstan, Kyrgyzstan and Tajikistan) spanning the period of 1995–2022. As a methodology, the FMOLS estimator is applied to check linear impact and long-run association as well. Panel threshold regression model and 2SLS method are applied to examine potential non-linear relations among the studied variables. Hausman–Taylor and Amacurdy estimators are employed to control the endogeneity issue among the variables of interest. The results suggest the existence of a long-run relationship among the studied variables. Precisely, applying the FMOLS method, remittances negatively impact CO2 emissions in the long run. The relationship between CO2 emissions and remittances is distorted when the endogeneity issue is considered with the Panel threshold regression model, 2SLS method, and Hausman–Taylor and Amacurdy estimators. This distortion validates the linear impact of remittances on CO2 emissions in CA. The Dumitrescu–Hurlin causality test shows that all independent variables have a causal effect on the dependent variable, validating the effect of the studied variables. Consequently, decision-makers should facilitate remittances towards more environmentally friendly and sustainable solutions to prevent the detrimental effects of remittance inflows on carbon emissions in Central Asia.
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(This article belongs to the Special Issue Economics of Migration)
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Government Funding Allocations to Universities and the Business Cycle: An Analysis of Canada’s Provincial Governments
by
Duane Rockerbie and Stephen Easton
Economies 2024, 12(4), 94; https://0-doi-org.brum.beds.ac.uk/10.3390/economies12040094 - 16 Apr 2024
Abstract
Canada’s universities each receive an annual operating grant from their provincial government to partially finance operating expenses. This paper estimates the sensitivity of provincial operating grants to the business cycle by disentangling the effects of procyclical income on government revenue and the countercyclical
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Canada’s universities each receive an annual operating grant from their provincial government to partially finance operating expenses. This paper estimates the sensitivity of provincial operating grants to the business cycle by disentangling the effects of procyclical income on government revenue and the countercyclical effect on student demand by utilizing an economic regression model composed of three equations. Our panel data include the total real operating grant paid to all universities within a province, total student enrolment, real per capita government revenue, and real per capita gross domestic product for Canada’s ten provinces over the 1992–2019 sample period. The results confirm that real per capita government revenues are procyclical and that full-time equivalent student enrolments are counter-cyclical. The total real operating grant is only weakly associated with cyclical changes in provincial government revenue. Instead, the total real operating grant is mainly determined by countercyclical changes in student demand. This partially offsets the potential reduction in funding to universities during an economic downturn. Provincial governments in Canada can smooth the total allocation over the business cycle by adjusting other expenditures and using debt financing. Our results suggest they do this to some extent, but not enough to avoid a net reduction in real operating grants during an economic downturn.
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(This article belongs to the Topic Risk Management in Public Sector)
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What Factors Are Limiting Financial Inclusion and Development in Peru? Empirical Evidence
by
Sergio Luis Náñez Alonso, Javier Jorge-Vazquez, Lieslie Gallegos Arias and Noelia Muñoz del Nogal
Economies 2024, 12(4), 93; https://0-doi-org.brum.beds.ac.uk/10.3390/economies12040093 - 16 Apr 2024
Abstract
Despite recent efforts in Peru to boost financial inclusion, significant issues of exclusion persist, especially among vulnerable groups. This article aims to identify and analyze areas at risk of financial exclusion using a multifaceted methodology: the Financial Access Survey (FAS) for comparative analysis
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Despite recent efforts in Peru to boost financial inclusion, significant issues of exclusion persist, especially among vulnerable groups. This article aims to identify and analyze areas at risk of financial exclusion using a multifaceted methodology: the Financial Access Survey (FAS) for comparative analysis (Peru versus other countries and regions), geographical-distribution analysis, and the Access to Cash Index (ACI) methodology. Findings reveal that remote rural areas of Peru, particularly those inland, as well as mountainous or jungle regions, face higher risks of financial exclusion due to low digital literacy, limited digital banking usage, sparse branch and ATM networks, and inadequate transportation infrastructure. These insights can inform targeted public policies to enhance financial inclusion in Peru, as well as the development.
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(This article belongs to the Special Issue Economic Indicators Relating to Rural Development)
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