Economies, Volume 11, Issue 11 (November 2023) – 21 articles

Remittances are one of the major driving forces of economic growth in Bangladesh. The paper’s main objective is to empirically investigate the effect of COVID-19 on the remittance inflow to Bangladesh using a gravity model framework. We have employed monthly data of remittance inflow to Bangladesh from January 2018 to September 2022 with its top twelve partners, namely the Kingdom of Saudi Arabia, the United Arab Emirates, Kuwait, Qatar, Oman, Bahrain, Libya, the United Kingdom, Italy, Malaysia, Singapore, and Japan. Using the gravity equation, we tapped the COVID-19 dummy as the critical variable of our interest, along with COVID transmission, mortality, and vaccination data at home and abroad. Using Poisson pseudo-maximum likelihood (PPML), fixed-effect (FE), and random-effect (RE) estimations, we find that during the COVID-19 pandemic, remittance inflow to Bangladesh increased significantly after controlling for other Gravity variables. Full article

The configurative comparative method, Dynamic Pattern Synthesis (DPS) is used to replicate previous research into the impact of the euro on economic convergence. The DPS method ensures a forensic examination of the diverse variable patterns that influence cluster memberships. As with previous research conclusions, there are multiple patterns of convergence and divergence. Consistent clusters across the time periods compared are Germany, the Netherlands, Luxembourg, and Ireland; Slovakia and Estonia; Italy, Spain, and Slovenia; and Portugal and Greece. The variable patterns most likely to influence cluster definitions are differences in GDP per capita, productivity, and investment, although there are other differing variable patterns that influence specific smaller cluster memberships and the consistency of memberships over time. Externalities undermine nominal convergence. An example is the divergence of the experience of consumer inflation between 2016 and 2022. Nevertheless, some convergence in long-term interest rates is achieved. There is also divergence in the real convergence target of GDP per capita. As regards structural changes, productivity differences widen, and investment as a percentage of GDP converges during COVID-19. The theoretical implications are that the complex dynamics between collaboration, competitive markets, and global instabilities makes convergence unlikely. Real convergence, such as reducing the distribution differences of GDP per capita, is only likely to be possible over many decades, and needs considerable government interventions. Complex systems theory informs us that limits to convergence are inevitable in dynamic systems where events bring unplanned divergences. Full article

The COVID-19 pandemic had a severe impact on the restaurant industry. Temporary shutdowns and seating capacity restrictions led to a sharp drop in sales. In this scenario, digitalization emerged as a crucial strategy for business survival, offering opportunities to increase restaurants’ competitiveness and revenues. This study examines the financial profitability of restaurants during 2020, comparing establishments with digital sales tools to those without. Multiple linear regression results indicate that liquidity, sales growth, restaurant size, and having a website directly influenced profitability. In addition, restaurants with their own online ordering and home delivery services or associated with delivery platforms experienced lower profitability losses. These findings contribute to our understanding of the role of digitalization in the restaurant sector during the pandemic, providing valuable practical and theoretical implications for the industry in similar contexts. Full article

This study aims to investigate the influence of digital financial inclusion on China’s urban–rural income disparity. A comparative analysis on income differences between western and eastern regions in China was conducted in this paper. The study utilized a static panel approach as it consisted of 22 provinces in China that covered the period from 2011 to 2020. This paper employs Stata software for the data analysis. The dependent variable of this study is the urban–rural income gap. Meanwhile, the independent variables consist of the total index level, breadth of coverage, depth of use, degree of digitization, digital payment level, digital insurance level, and digital credit level. The control variables employed in this article are education level, financial support, economic transformation, technological progress, and trade openness. The empirical outcomes indicate that the seven independent variables potentially minimize the urban–rural income gap between the two regions. However, digital financial inclusion appears to have a more significant effect in lessening the urban–rural gap in the western region compared to the eastern region in China. The findings demonstrate that all the variables exhibit a higher degree of influence on the urban–rural income differences in the west than in the east, except for the credit index. The outcome reveals that the effect of the credit index in the western region (0.10%) is slightly lower than the eastern region (0.11%). In general, the present findings can provide valuable insights for policy makers in their efforts to address the urban–rural income gap in the two regions through the implementation of digital financial inclusion initiatives. The study should be conducted regularly to observe the trend of the income disparities between the western and eastern regions in China. Future studies can also focus on other regions or narrow the focus to provincial and city levels to capture more detailed information. Full article

Economic activities’ efficiency represents the level of performance that uses the lowest quantity of inputs to achieve the highest possible amount of output. This paper presents the process of calculating the relative efficiency of separate non-financial activities in an economy using the DEA methodology. The purpose of this paper was to create the DEA model for monitoring the relative efficiency of individual non-financial activities of the economy. The purpose was achieved through the realization of two objectives. The first one included the determination of the relative efficiency of the above-mentioned activities in the period from 2002 to 2020 using the data from non-financial entities in the Republic of Croatia. The second objective consisted of ranking the economic activities according to their relative efficiency. An output variable that measures the efficiency was presented using the return on assets, while the total debt to EBITDA, EBITDA per employee, assets turnover and human capital efficiency were used as input variables. Research results indicate that the DEA methodology could be used as an economic activity’s relative efficiency measurement tool, giving the possibility to rank it according to its relative efficiency using the accounting ratios. Research results show that service sectors’ economic activities were the most efficient ones according to the lower assets engagement and the respective sources of financing that dominate. The highest average relative efficiency in 19 years was scored using wholesale, retail and repair activities as well as information, communication and education. The lowest average relative efficiency was achieved in construction, water supply, sewerage, waste management and remediation activities as well as accommodation and food service activities, which is the consequence of their low level of activity and profitability and high indebtedness in the analyzed period. The relative efficiency scores calculated using the DEA methodology could be used as a benchmark for companies on a micro level, while on the macro level decision-makers can obtain a deeper insight into the relative efficiency of the nonfinancial activities. Full article

Throughout history, women have struggled to find their place in the labour market. Their participation in the labour market is usually characterised by worse working conditions; they tend to work in lower-paid jobs, under worse social conditions, and in the vast majority of cases their work in the household is not credited. Women make up half of the world’s population, and their non-participation in the labour force has negative consequences for economic growth. Therefore, this paper examines the impact of women’s participation in the labour market on living standard in the European Union. Data on women’s participation in entrepreneurship and politics were also analysed as part of this work. Panel data analysis was conducted for the period 2009–2022 for 27 members of the European Union, using fixed and random effects. The results show that long-term unemployment has a negative impact on GDP per capita. Moreover, a higher share of women in parliament and better education of women is confirmed to be crucial for GDP per capita growth. Failure to include women could have serious consequences for economic growth. The key to success is education and social change that enable women to play the same role as men in the labour market. Full article

The process of deepening the economic integration of European economies reached its peak with the formation of a supranational entity for conducting monetary policy. However, the high degree of financial integration of the market also implied the vulnerability of the economic union in terms of prompt reaction to external shocks with divergent effects. Oil price fluctuations are of essential importance for macroeconomic performance, which is particularly reflected in countries more dependent on the import of this raw material. This research aims to apostrophize the asymmetric effects of oil price fluctuations on the stock market indices on a sample of higher (Germany, Italy, France) vs. lower (Croatia, Bulgaria, Ireland) oil importers. The empirical findings are determined based on impulse response functions derived from the VAR model as well as the Granger causality test of the relationship between stock market indices and oil price fluctuations. In order to identify the isolated impact of oil price movements on stock market indices of selected European economies, the VAR (Vector AutoRegression) model is evaluated in the time period 2013M1-2023M1. The results of the research indicate an asymmetric mechanism of the impact of oil shocks on the financial markets of EU member states. Full article

In this research, our primary objective is to dissect the influence of specific locational elements—proximity to international borders, substantial ports, and significant railway junctions—on the economic vitality of Hungary’s counties from 2001 to 2020. The aim is to reveal how these factors individually contribute to economic disparities and to demonstrate their compounded effect on regional prosperity. This analysis is particularly timely and pertinent as regional inequalities are becoming more pronounced globally, making understanding such disparities crucial for effective policy formulation and regional planning. Utilizing GDP per capita as a fundamental indicator of economic health, we meticulously categorized counties, revealing a clear correlation between these locational advantages and economic performance. We innovatively employed Python to script a unique code, creating a matrix that enriches the presentation of our results, thereby facilitating a more nuanced understanding of these correlations. Our findings are significant in the current socio-economic climate, highlighting the need for tailored strategies considering unique regional attributes. This study is instrumental for policymakers and stakeholders in formulating informed, targeted strategies to harness these locational advantages, fostering balanced development, and narrowing the economic divide within the nation. The actuality of our research lies in its immediate relevance, offering insights critical to current discussions and decisions in regional development planning. Full article

As the population in affluent countries has been experiencing rapid aging, understanding its impact on the regional economy has become an important research topic. In this study, we investigate whether regional population aging has affected the economy in the United States. Using instrumental variables based on age structure, we have identified significant positive impacts on employment growth and negative impacts on the population growth rate. Additionally, there was no significant impact on local wages but a positive impact on rent levels. This can be interpreted as evidence that a higher proportion of the elderly population actually enhances local production and consumption amenity levels, as suggested by the spatial equilibrium model. These results imply that regional population aging may not have a significant negative impact on the regional economy. Full article

Natural resource rent (NRR) can be a blessing for the economic growth of resource-rich economies but may cause environmental problems. The present research explores the effects of NRR, economic growth, trade openness (TO), and foreign direct investment (FDI) on the carbon intensities of different sources of carbon emissions in Saudi Arabia from 1968 to 2021. The environmental Kuznets curve (EKC) is substantiated in the relationship between economic growth and the carbon intensities of gas emissions and cement emissions in the long run. The EKC is also validated in models of the carbon intensities of oil emissions, gas flaring emissions, and aggregated CO₂ emissions in the short run. TO reduces the carbon intensities of oil emissions, gas emissions, and cement emissions in the long run. FDI mitigates the carbon intensity of gas flaring emissions but increases the carbon intensity of cement emissions. NRR increases the carbon intensities of all investigated sources of emissions in a linear analysis. In a nonlinear analysis, increasing NRR increases and decreasing NRR reduces the carbon intensities of all sources of emissions except aggregated CO₂ emissions. In the short-run results, TO decreases the carbon intensity of gas flaring emissions and increases the carbon intensities of gas emissions and cement emissions. FDI decreases the carbon intensities of all sources of emissions. In a linear analysis, NRR reduces the carbon intensities of oil emissions and cement emissions and increases the carbon intensities of gas emissions and gas flaring emissions. In a nonlinear analysis, increasing NRR reduces the carbon intensity of cement emissions and increases the carbon intensities of gas emissions and gas flaring emissions. Moreover, decreasing NRR reduces the carbon intensities of gas emissions, gas flaring emissions, and aggregated CO₂ emissions and increases the carbon intensities of oil emissions and cement emissions. The effect of NRR is asymmetrical in models of the carbon intensities of aggregated CO₂ emissions, oil emissions, and gas flaring emissions and symmetrical in models of the carbon intensities of gas emissions and cement emissions. Full article

This research presents a bibliometric analysis of the scientific literature on collective bargaining between 2012 and 2021. The main objective of this research is to analyze how scientific research on collective bargaining has evolved during this period and to identify current trends and future lines of research on the institution of governance of labor relations. For this purpose, 1676 documents collected in the Web of Science Core Collection and 1971 in Scopus have been analyzed. This analysis has made it possible to determine which have been the scientific papers with the greatest impact, the most relevant researchers, and the most used keywords. As a contribution, note the classification made in relation to which are the most relevant scientific journals, the most cited papers, or the most influential researchers in the field of collective bargaining. As conclusions and future lines of research identified, this research points out the need to delve into studies related to the promotion of dialogue between human resources management and the legal representation of workers about working conditions that positively affect workplace well-being, as well as investigations related to the power and legitimacy of negotiation by social and economic agents. Full article

Business innovation is fundamental for sustained economic growth at the regional level. Knowing the common characteristics of innovative companies and their location is essential to carry out appropriate economic policies. To this end, we have carried out a double analysis: one grouping of companies according to characteristics and another by geolocation. This study focused on one of Spain’s 17 autonomous communities, the Comunitat Valenciana, a region characterised by significant industrial diversity. Our results show, among other things, that size is not a differentiating factor when it comes to innovation, and that there is a positive relationship between physical clustering and productivity. Full article

Reflections on the factors that influence the delocalization of Italian companies to other countries, arising from a rapidly changing world economy, offer invaluable insight into companies facing similar tough choices. Usually, this decision is attributed to economic, fiscal, and institutional factors. This article examines the process of delocalization of Italian enterprises and empirically verifies the main factors which influence the delocalization of Italian enterprises to East European Countries. The results suggest that “labor market regulation”, “business regulation”, and “size of government” or better said, the labor cost the host country, is the main incentive of Italian enterprises to delocalize their production. Empirical results also show that institutional factors such as “rule of law”, “control of corruption”, “political stability”, and “broadband infrastructure” have a positive and significant correlation with the delocalization of Italian enterprises to the East European Countries. The results in this case suggest that Italian companies are looking for an environment in which the state knows how to enforce their own rules, but also a state that is somewhat “corruptible”. Full article

The article reports on the interactions and possibility of coordination between macroprudential and monetary policies in South Africa, based on business and financial cycles synchronisation. To this end, relying on financial and economic time series indicators spanning the period 2000M01–2018M12, a two-step Markov switching dynamic factor model was adopted for the measurement of composite indices, while both the dynamic conditional correlations and asymmetric generalised dynamic conditional correlations models were adopted for synchronisation analysis, together with the Metcalfe scale of coordination. The empirical evidence obtained is such that, under conditions of financial and real economic stress in South Africa, when there is crisis management rather than crisis prevention, macroprudential policy and monetary policy decisions are complementary. Therefore, there will be limited/no need for coordination between the two policy decisions. However, under normal times when there is crisis prevention rather than management, macroprudential policy and monetary policy decisions are noncomplementary; hence, the greatest degree of coordination is warranted, even though it might not be easy. Therefore, we conclude that it is possible to the coordinate the conduct of macroprudential, and monetary policies based on the synchronicity of business and financial cycles. Full article

Food security is a requirement for meeting household food demands and is expressed in the availability of enough food that is sufficient both in quantity and quality, safe, equitable, and inexpensive. Academics and practitioners have attempted to revise food security models that may depict disaster-prone places, particularly Pamijahan District; however, these varied models each have their setbacks when compared to the world’s various global conditions. This study aims to examine how food security is affected by the availability, accessibility, and consumption of food under the influence of climate change and the COVID-19 outbreak in the period 2017–2022. The methods used in this study were mixed-methods (quantitative and qualitative). In this study, participants underwent SMART PLS 3.0 analysis, followed by quantitative analytic techniques. Study results showed that the total food security condition of Cibunian Village in Pamijahan District in the period 2017–2022 can be categorized as vulnerable. Based on the FSVA analysis, it revealed that Cibunian Village was in the category of being vulnerable to food insecurity in general for the 2017–2022 period, while based on the SKPG analysis from the perspective of food access, there has been a 33.3% increase in food insecurity. The COVID-19 outbreak, climate change, and food consumption are the causes, and they all significantly and positively affect food security. This work advances our knowledge of food security in the COVID-19 outbreak age and the issues posed by global climate change. Everywhere, even in disaster-prone areas, complete food security should be attained. Full article

Given the importance of international trade, we empirically investigate the impact of information and communication technologies on the exports, imports, and total trade of five service items by using a panel data for 19 MENA countries from 2005 to 2019. Unlike most previous studies, we use the Information and Communication Technologies Development Index, which is a composite index that combines 11 indicators that include the access, use, and skill aspects of the technology. The results are as follows: the Information and Communication Technologies Development Index has a negative and statistically significant effect on exports of information technology services, and a positive and statistically significant effect on imports and total trade in financial services. Furthermore, we found also that the Information and Communication Technologies access sub-index has a significant effect on total trade in information technology services and transport. For the Information and Communication Technologies use sub-index, its effect on imports of travel services and exports of both travel and information technology services is significant. It also has a significant positive effect on total trade in travel and information technology services. As for the Information and Communication Technologies skills sub-index, the results show that it has significant positive effects on total trade in IT services and travel, and a negative significant effect on transport. These results provide interesting policy insights for information and communication technologies development and the growth of services trade for policy makers. Full article

Significant advancements have been made in studying innovation within the digital economy over the past 20 years. Research on innovation and the digital economy is crucial since it changes all facets of human existence, including business models and entrepreneurial trends. Research regarding innovation in the digital economy has experienced growth over time. However, only a small number of research works have investigated their references using the most widely utilized citation mapping approach, scientometric analysis. This scientometric analysis used 822 published innovation and digital economy research papers from 2000 to August 2023 from the Scopus database. Data analysis and visualization were carried out using biblioshiny (bibliometric package) in R and VOSviewer. According to the data, the study on innovation within the digital economy has grown by 22.75% yearly since 2000. This study offers valuable insight for society, academics, academic institutions, researchers, policymakers, and businesses. The findings reveal the pivotal aspects of the research, derived from the most frequently referenced subjects, publications, authors, and keywords to determine current and future trends in innovation in the digital economy. Full article

This study quantifies the impact of selected economic determinants on corporate tax revenues. The methodology applies a panel regression method with the 27 EU Member States considered for 2004–2020. This paper used a panel regression model with fixed effects, and the Arellano adjustment was used to achieve robust standard deviations. Source data were obtained from the European Commission, Eurostat, World Bank and Transparency International databases. Based on this hypothesis, we wanted to prove that the nominal tax rate, which is legislatively determined based on political consensus, is a decisive determinant of the amount of tax revenue. However, the analysis results reject this hypothesis, although the model showed it as positive but statistically insignificant. On the other hand, an interesting research result is that the analysis confirmed the effective tax rate as a significant determinant of tax revenues. From this, we can conclude that policies should be aimed at an effective tax rate or a better harmonisation of the nominal tax rate towards the effective rate. Full article

The Portuguese First Republic (1910–1926) was marked by significant instability at the most diverse levels. With a special focus on the financial dimension of this period, the objective of this paper is to test the sustainability of the Portuguese fiscal policy, also referred to as the sustainability of public finances itself. The methodology involves testing the stationarity of public debt and budget balance and also the cointegration between state revenue and expenditure. The results obtained shows that the state’s intertemporal budgetary constraint was violated during the First Republic regime, which denotes unsustainability. This conclusion is justified by the existence of a non-stationary budget balance and the absence of cointegration between state revenue and expenditure. These results are manifestly different from those that have already been obtained for other Portuguese regimes, namely for the Estado Novo (1933–1974) and democracy (1974–present), where sustainability existed. This paper is yet another demonstration of how important it is to maintain control of state’s accounts. We hope that this paper can be useful to stimulate new research on Portuguese public finances and also on the important issue of fiscal policy sustainability. Full article

Over the last three decades, Vietnam has undergone economic reforms and achieved rapid economic growth. However, the country is still facing numerous challenges linked to a relatively high share of employment in an informal economic sector, which could prevent Vietnam from escaping from the middle-income trap and becoming a high-income country. This research explores the effect of foreign direct investment (FDI) on job creation in the formal economic sector of Vietnam. A subnational dataset of 63 cities/provinces from 2006 to 2020 was analyzed using an instrumental variable two-stage least-squares fixed-effect model. The results show that FDI is an employment growth-enhancing factor in the formal economic sector. Specifically, FDI enterprises are found to be more capable than domestic enterprises in creating employment, and there is a positive employment spillover from the foreign to the domestic sector, although the magnitude of the effect remains small. Apart from FDI, firm agglomeration, capital resource productivity, and government support for sector development spur employment growth. Labor quality, profitability and foreign industrial agglomeration are identified to be determinants of FDI. Furthermore, the impact mechanism of FDI on the formal sector’s employment is further discussed using mindspongeconomics, the SM3D knowledge management system, and the culture tower. Full article

The relationship between inflation and real GDP growth is one of the most widely researched topics in macroeconomics. At the same time, it is certainly not an exaggeration to claim that this nexus also stands at the heart of monetary policy, given the fact that low inflation in combination with high and sustained output growth should be the central objective of any sound economic policy. The latter notion becomes even more obvious when taking account of the fact that many central banks all over the world have selected target levels for inflation and communicated them to the public. Against this background, it is of utmost importance for central banks to understand more about the nature and formation of the relationship between inflation and real GDP. This study attempts to shed more light on the specific shape of this relationship for the euro area and, more specifically, on the issue of possible regime shifts therein. The analysis provides strong evidence for non-linear effects in the euro area. As a by-product, and seemingly the novel contribution, of this paper, the methods used allow for the quantification of a switching point across the different regimes. It is found that this breakpoint closely matches the ECB’s previous definitions of price stability and its new inflation target of 2%. While these results look encouraging, further research in this area seems to be warranted. Full article