Development Level Of Countries Research Articles

Assessment of the Development of the Circular Economy in the EU Countries: Comparative Analysis by Multiple Criteria Methods

In recent decades, attention to environmental resource management has increased worldwide. Circular economy (CE) is a concept that is increasingly being considered as a solution to this range of challenges. Therefore, it is important to monitor the development of CE. This research is an attempt to contribute to the CE surveillance literature by providing a framework for comparing the positions of states and their classifications. The main goal of the article is to assess the level of circular economy development in EU countries according to the chosen methodology. The indicators used in this study are sourced from the European Commission Monitoring Framework database, which includes data from 27 European Union (EU) countries over the time frame from 2016 to 2020. The analysis was carried out using Multi-Criteria Decision Methods (MCDM), such as Simple Additive Weighing (SAW), and the objective method of estimating weights in accordance with proportional differences (APROD), which helped to assess the state of CE. The results showed that EU countries can be divided into three groups based on the level of performance of the CE, and their level of development in relation to the circular economy is different. The level of circular economy development in most EU countries is low. Germany, the Netherlands, France, and Italy demonstrated the best positions. The study findings were derived from the combination of two MCDMs, thus increasing the refinement of the overall methodology. Doi: 10.28991/ESJ-2024-08-02-013 Full Text: PDF

DEVELOPMENT AND APPLICATION OF CRITERIA FOR ASSESSING THE SUSTAINABILITY OF NATIONAL FINANCIAL SYSTEMS

Currently, all processes take place in the context of the global integration of the financial structure, the economic systems of states are no exception. As we know, a country's development level depends on its institutions. Studying this issue, namely the adaptability of the financial system to the global actions of globalization, we clearly understand the need to consider this issue from focusing on the criterion of stress sustainability. The technological development of these systems within the global economy, of course, implies the diversification of its institutions, which specifically show possible options for setting goals by market participants, moreover, ways and costs in order to achieve these goals. Working in new conditions, market players set the rules of the game, they can be tacitly approved or tacitly applied. Thus, their effect is different for different players, that is, for someone positive, and for another negative. The financial system of the country is defined as the subject of the study. We used the following scientific methods. Namely, a comprehensive system approach, analysis and synthesis, scientific abstraction, dialectical method of cognition and others. We are confident that the conclusions will serve for further development, including theoretical, of the national financial system. Keywords: national financial system, sustainability, criteria, evaluation, quantitative methods, factor analysis, financial stability index.

Nexus between technological innovation and environmental pollution in selected OECD countries

AbstractAddressing environmental pollution is fundamental to establishing sustainable development across the globe. While navigating the Fourth Industrial Revolution, it is of critical relevance for economies worldwide to come up with innovative measures that can withstand the factors driving environmental pollution. On that note, this study explores the technological innovation‐environmental pollution linkages in the context of 10 members of the Organization for Economic Cooperation and Development (OECD) using data spanning from 1994 to 2018. Notably, considering ecological footprints as the environmental proxy, the analysis controls for the corresponding levels of economic growth, financial development, and renewable energy consumption in the concerned countries. In addition, the long‐term estimates are investigated using Augmented Mean Group, Common Correlation Effects Mean Group, Fully Modified Ordinary Least Square, and Dynamic Ordinary Least Square techniques while the causality relationship is determined by Dumitrescu‐Hurlin panel bootstrapped causality test. The results establish the long‐term cointegrating linkages among the variables considered. It is also observed that economic growth increases the ecological footprint level, while technological innovation, renewable energy consumption, and financial development reduce it. Moreover, the results reveal that technological innovation and ecological footprint causally influence each other, while there are one‐way causalities moving from economic growth and financial development to ecological footprint. Furthermore, a two‐way causality concerning renewable energy consumption and ecological footprint is also detected. Considering these results, it is pertinent for the selected OECD countries to improve energy efficiency rates, scale investment for developing the renewable energy sector, and execute policies that support investments in initiatives concerning low‐carbon technological development. Additionally, these countries should look to implement policies that are compatible with the objectives of establishing green growth so that low‐emission development can take place to tackle climate change‐related problems.

Safety of agricultural machinery and tractor maintenance planning with fuzzy logic and MCDM for agricultural productivity

Productivity is one of the most important measures used to determine the growth and development level of countries or sectors. A wide variety of projects have been planned and implemented to increase agricultural productivity. The productivity to be obtained in agriculture; Soil conditions, climate, seeds, fertilizer, pesticides, labor and agricultural mechanization directly affect it. Agricultural mechanization is the realization of agricultural activities by using energy together with agricultural tools and machines. Agricultural mechanization; It is an important agricultural production technology that helps increase agricultural productivity. Due to the inadequate maintenance planning of agricultural machinery, agricultural machinery cannot be utilized at the desired level in agricultural production. Most agricultural equipment is subject to frequent changes in speed and direction of movement while operating. Damage that can be seen on a single machine; It also causes other machines to malfunction. During the year, especially in the months when agricultural activity is high, excessive working tempo can cause tractors to malfunction. The breakdown of tractors causes disruptions in agricultural activities. In addition, the breakdown of tractors increases the repair costs. Since there is no tractor maintenance planning, farmers face interruptions in agricultural activities due to tractor malfunction. However, tractor malfunctions may cause cost and economic losses. For these reasons, there is a need for appropriate maintenance planning of agricultural machinery in order to continue agricultural activities without disruption. Maintenance planning; It consists of a set of preventive activities to improve the reliability and availability of any system. The main purpose of this study is to determine and rank the importance level weights of the criteria that are important for agricultural machinery maintenance planning using the fuzzy AHP method. Fuzzy AHP method, which provides ease of application, was preferred in determining the Criterion Weights. The research proposes a framework to determine the weights of appropriate criteria for care planning selection through a combined approach of fuzzy multi-criteria decision making involving relevant stakeholders. On the basis of the prioritization of criteria of tractor maintenance planning (TMP), it was found from the ranking that checking for all fluid levels (TMP1) ranked first. This respectively is followed by checking for general conditions (TMP4), checking for tires and wheels (TMP2) and checking for batteries (TMP3). With the results of the study, a guide was created for farmers and other stakeholders, as well as decision makers, to help plan the maintenance of machines in better working conditions. It is also thought that this study will be encouraging for other studies.

Assessing the level of organic farming development in the European countries

Organic farming is an essential approach to agriculture that seeks to reduce the negative impact of human activities on the environment and ensure the sustainability of food production. The study aims to determine the integral index of the development of organic farming and to create a clustering model of organic farming in European countries. As a research methodology, additive-multiplicative convolution was used to determine the integral index of organic farming development. Cluster analysis (the Ward method and the k-means clustering method) identified respective clusters. The integrated index is based on eight indicators of organic farming from the Eurostat database, 2012–2020, and ranges from zero to one. The following countries have the highest value of the integral index: Italy (0.57), France (0.54), Spain (0.54), Germany (0.45), and Turkey (0.47). Three clusters were identified according to eight indicators of organic agriculture. The first cluster includes countries-leaders in agricultural territories (about 2.1 million hectare) with the highest state financial support for agricultural research and development (1.1 billion euros). The second cluster includes countries with the most minor organic farming operators (50-100 operators). The third cluster includes countries with the highest index of annual income from the sale of farm products (200-220 points) but with the highest level of usage of dangerous pesticides (250 points). The heterogeneity of clusters allows one to determine the strengths and weaknesses of organic farming in European countries.

Can Media Literacy Intervention Improve Fake News Credibility Assessment? A Meta-Analysis.

Fake news impacts individuals' behavior and decision-making while also disrupting political processes, perceptions of medical advice, and societal trends. Improving individuals' ability to accurately assess fake news can reduce its harmful effects. However, previous research on media literacy interventions designed for improving fake news credibility assessments has yielded inconsistent results. We systematically collected 33 independent studies and performed a meta-analysis to examine the effects of media literacy interventions on assessing fake news credibility (n = 36,256). The results showed that media literacy interventions significantly improved fake news credibility assessments (Hedges' g = 0.53, 95% confidence interval [0.29-0.78], p < 0.001). Gaming interventions were the most effective intervention form. Conversely, the intervention channel, outcome measurement, and subject characteristics (age, gender, and country development level) did not influence the intervention effects.

Community Mental Health in Türkiye and Europe: Data and Influencing Factors

Human is an entity that can be completed with the combination of biological, psychological and social factors. The concept of health is defined as being in a state of complete mental, social and physical well-being. The term "community mental health" defines mental health care in relation to the individual and the environment in which the individual interacts. If the factors affecting mental health are known and intervened, it is predicted that community mental health will make positive progress. The aim of this study is to examine and compare the factors affecting community mental health by analysing community mental health data in Türkiye and Europe. The World Health Organisation (WHO) examines these factors in three groups as individual, family and community and structural factors. In order to analyse the degree to which these factors affect mental health, data from Türkiye and Europe were analysed by examining the reports of the World Health Organization, European Commission, European Parliament, OECD, Institute for Health Metrics and Evaluation and Turkish Statistical Institute. It is seen that community mental health is affected by the community's understanding of health and illness, access to mental health services, gender, age, education, the concept of loneliness, unemployment, diseases affecting the world such as pandemics and the economy. As a result of mental health reports and analyses, not much difference was observed between the factors affecting public mental health in Türkiye and Europe. In general, it is seen that there are country-based evaluations in mental health data. Differences between countries are generally interpreted with the development levels of countries. However, cultural differences between countries are not emphasised. For an accurate comparison, multicentre studies should be conducted involving researchers from different countries who know the culture of the society.

Study on the Impact of the Development of Digital Economy in RCEP Member Countries on China's Export Trade

With the rise of the global wave of digitisation, the digital economy has become an important driver of international trade. This study aims to deeply explore the impact of the development of digital economy in RCEP member countries on China's trade. On the basis of the panel model which comprehensively analyses three kinds of digital economy development status measurement indicators such as digital economy development status, digital information industry and digital cultural resources input of RCEP countries, it assigns values to the digital economy development status of each country by means of the fixed effect model and empirically proves the relationship between the digital economy development level of member countries and the development of China's export trade. The results show that the digital economy development capacity of RCEP member countries will have a positive promotion effect on the overall improvement of China's foreign trade and export volume, and the conclusions drawn from the empirical results provide suggestions and countermeasures for the high-quality development of China's digital economy to promote foreign trade and export.

How can there be an economic transition to a green ecosystem by adapting plastic-to-fuel technologies through renewable energy?

Plastics partially help define the way humanity lives today and plastic waste is an increasing phenomenon. It seems to be a serious concern that causes economic inefficiencies and environmental degradation that result in high CO2 emissions rates. To overcome this issue, regulations and policies on the production and behavior of plastics and energy should be reconsidered in the growing world economy. To this end, this study aims to foster economic pathways for decision-makers and answers the question of “How can there be an economic transition to a green eco-system by adapting plastic-to-fuel technologies through renewable energy?”. This strategy is introduced by an autoregressive distributed lag (ARDL) time-series methodology with the worldwide data from 1950 to 2022, considering energy production, economic growth, and CO2 emissions as independent variables; and plastic production as a dependent variable. The findings reveal the existence of a long-run cointegration relationship. An increase in renewable energy production (REP) and CO2 emissions causes a decrease in plastic production, while the opposite is valid for non-renewable energy production (NREP). The relationships between environmental degradation, energy production and economic growth are conducted through a global perspective. Therefore, this pioneering aspect of the article is expected to become a reference study for many studies in the future, in mitigating global warming by adapting plastic-to-fuel technologies. The paper shows how the production and use of renewable energy have critical importance in terms of the economic development levels of countries and therefore, can benefit countries (i.e., particularly developing and least developed countries) for environmentally friendly production and consumption patterns through a very important good: plastic.

Does the Effect of Different Governance Channels Depend on the Level of Development of African Countries?

The level of development of African States is consistent with the discussions surrounding the need for countries in the region to be fully immersed in practical philosophy. Decision-makers must adopt a coordinated strategy to stimulate the sustainable development of their economy; by incorporating various national plans aimed at encouraging well-being into national governance mechanisms. This paper studied the impact of governance on sustainable development. We use a dynamic panel estimation model, incorporating the PCA technique, to group the governance indicators of Kaufmann et al. [1] into three main composite indicators: economic, institutional and political governance. The Pooled Mean Group (PMG) estimate shows that the development level of African countries is strongly influenced by established institutions. In the short- and long-term, various governance indicators (political, economic, and institutional) have a significant impact on human development and the ecological footprint of countries with high levels of development. On the other hand, they can only significantly stimulate development in countries with a medium level of development in the long term. Much more effort should be made in poorly developed countries to address the shortcomings that limit the implementation of laws and the fulfillment of the obligations of companies, the state, and citizens to ensure sustainable development.

Has GVC participation exacerbated inequality of the embodied carbon in fossil energy industry export trade?

Introduction: The fossil energy sector is an important part of international trade, and the flow of products between sectors will bring about the flow of embodied carbon. There are relatively few studies on embodied carbon in the fossil energy sector, which are mostly concentrated in other sectors and are not well integrated with GVC. Combining embodied carbon with GVC provides a better view of the allocation of environmental responsibility in trade. At the same time, it can also help different countries to improve the environment with the help of GVC.Methods: This research is based on the World Input–Output Database. First, by using multi-regional input–output, this paper measures fossil energy trade embodied carbon (FEE) data of 39 countries from 2000 to 2014; second, using structural decomposition analysis, we find what factors affect FEE. Finally, we analyze theimpact of global value chain (GVC) on the FEE.Results: This study obtained the following conclusions: 1) different GVCs have different effects on the embodied carbon in trade. Simple forward, complex forward, and simple backward to embedded play a positive role. The complex backward GVC has a negative impact; 2) high-income countries can get greater positive environmental effects through GVC, and middle-income countries cannot obtain or obtain less environmental effects; and 3) the backward GVC affects the FEE by affecting the proportion of fossil energy consumption.Discussion: The results show that the FEE shall be jointly responsible for the world’s countries, and different countries should make different contributions to the world’s environmental protection comprehensively considering factors such as the economic development level of various countries. This proposes relevant policy suggestions in China.

Projection of Bosai Culture in Natural Disasters: The Case of the Turkish Republic of North Cyprus

Since the existence of the world, several destructive disasters have been experienced that have shaped the earth and threatened the existence of mankind in this world. Events such as landslides, floods, earthquakes, avalanches, wars, industrial accidents and epidemics, which occur almost on a daily basis in different geographies, have caused a very high number of casualties and property losses. These destructive events are classified into two according to their sources, namely natural and human disasters. Natural disasters began to take place long before man existed on the planet and they will probably continue until the end of the world. Each natural disaster affects the lives of societies and people from physical, sociological and economic aspects. Disasters such as earthquakes, floods, hurricanes, storms, forest fires, volcanic eruptions and landslides are of natural origin and they cause loss of life or property. In addition, people also experience psychological and sociological devastation. Millions of people lost their lives and billions of dollars of economic losses occurred due to disasters in the last century. Therefore, the development level of countries plays a critical role in terms of their preparedness for disasters and their relationship with resilience. Earthquake is a natural disaster of high importance in terms of the area it affects and the destruction it causes. As in every sector of the countries exposed to earthquakes, deep wounds can be inflicted in their education system. Since living with an earthquake brings with it several problems and phenomena, the issue of education stands out as a concept that countries should take precautions and study. For example, its ability to adapt to and make investments in innovations, to pay attention to pre-disaster education, and to learn from past mistakes has raised Japan to the level of the country with the highest disaster preparedness in the world. At this point, with the correct methods it applies and the precautions it takes, Japan sets a good example for a country with a high earthquake risk, such as the Turkish Republic of Northern Cyprus. Therefore, using a literature review, this paper focuses on the extent to which the reality of earthquakes is included in the secondary school geography curriculum of public schools in TRNC, which is located in the first-degree earthquake zone. According to the findings, Social Studies and Geography textbooks were examined at all levels, and only 6th grade Social Studies and 9th grade Geography textbooks found information about earthquakes. However, it has been observed that this information needs to be more extensive on earthquake preparation, earthquake time, and what to do after the earthquake, and no application is included. As a result, earthquake is a natural phenomenon, which is turned into disaster due to lack of education and knowledge. From this perspective, in order to prevent economic and human capital losses, the country’s population must be prepared at all levels of education for the steps to take before, during and after the earthquake.

Digital competence of society as a component of modern public administration

Today, digital transformation covers all areas of human activity, including the public administration sector. At the same time, the effectiveness of reforms in this area largely depends on society’s digital competence, which determines people’s ability to use innovative products and services. The study aims to analyse the impact of society’s digital competence on developing e-government as a component of digital public administration. The study used statistical analysis, correlation analysis, and multivariate regression analysis. It was found that there is a significant or high correlation between the level of the population’s digital competence and the development of e-government. Assessment of the impact of separate indicators characterising the citizens’ digital competence on the E-Government Development Index (EGDI) revealed that approximately 74.54% of the variation in this indicator can be explained through the used independent variables, namely, “Digital Skills among Population”, “Global Science and Technology Skills” and “E-Participation Index”. The novelty of the research is to quantify the impact of citizens’ digital competence on the level of e-government development in European countries. Government officials can use the results to further develop strategies and measures to improve digital public administration.

The equity of carbon emissions in international trade from the perspective of value added

AbstractInternational trade drives the transboundary transfer of carbon emissions. However, due to the differences in the economic development level and industrial structure of countries, the whole understanding of the inequality exchange between carbon emissions and the value added remains to be illuminated. Here, to uncover the global pattern of this inequality exchange, we construct a multi‐regional input–output model (MRIO) and inequality exchange index (IEI) from 1991 to 2016, to carry out macro path research with the goal of achieving global carbon neutrality. The results show that: (1) The carbon emissions per unit of value added through trade have declined in most countries, and the decline rate of developing countries was faster than that of developed ones. (2) In general, the developed countries were in an advantageous position in the value added and carbon emission exchange, while the developing countries were in a disadvantageous position. (3) Six sectors – agriculture, forestry, and animal husbandry; electrical and machinery; electricity, gas, and water; petroleum, chemical, and N‐metallic mineral products; transport; and financial intermediation and business activities – accounted for more than half of the carbon emissions of global trade, but with the advancement of energy conservation and emission‐reduction measures, carbon emissions have decreased to varying degrees. (4) From a global perspective, promoting cooperation on carbon reduction technologies from developed countries to developing ones might be a key and effective way to achieve global carbon reduction. The study aims to provide new insights into the formulation of global carbon neutrality and carbon emission responsibility‐sharing policies.

Navigating the Intricate Relationship between Investments and Global Output: A Leontief Matrix Case Study of Romania

This research delves into the intricate dynamics underlying the impact of investments on global output, employing the Leontief matrix as a robust analytical framework. Investments wield a profound influence on economies worldwide, with varying effects contingent upon investment types, development levels of countries, and external factors such as trade conflicts and global shocks. The diverse range of investment forms, including physical capital, human capital, R&amp;D, and technological investments, engenders distinct implications for productivity, innovation, and efficiency. Developing and developed economies navigate unique trajectories, with investments playing a pivotal role in bridging infrastructure gaps, improving technology, and spurring growth. However, external disruptions, such as trade wars and global shocks, introduce an element of complexity, reshaping investment patterns and altering global output trajectories. This study centers on harnessing the Leontief matrix’s prowess to evaluate the interplay of investments and global output, focusing on the Romanian economy. By analyzing input–output tables, encompassing 105 branches aggregated into 10 sectors, the research captures the intricate connections between economic segments. Notably, the Romanian context reveals the volatility of the matrix coefficients, an outcome of ongoing transitional processes, technological advancements, and fluctuating relative prices. In unraveling the intricate threads weaving investments and global output, this study contributes to a nuanced comprehension of these multifaceted interactions. The findings underscore the significance of tailoring investment strategies to specific economic contexts and advocate for robust frameworks, such as the input–output model, to inform policy decisions and drive sustainable growth in an increasingly complex global economy.

Energy Transition, Human Development and Energy Justice in the Southern Countries

Energy poverty deteriorates the human capital and the growth potential in the developing and emerging countries. We estimate the long-run effect of electricity access, modern renewable energy consumption, and traditional renewable energy consumption on human development (index). We use an AutoRegressive Distributed Lag/ARDL model based on pooled mean group estimation for a panel of 44 southern countries, representing three energy-poor regions of the world over the period 1990-2018. By distinguishing two groups of countries according to their level of HDI, we show that it exists a positive and significant relationship between electricity access and human development in countries with low and medium HDI and a positive effect of modern renewable energy on the level of human development in countries with higher HDI. In addition, the estimations reveal a significant negative effect of conventional renewable energy use on human development for the two countries groups.

The never-ending debate: Do FDI promote institutional change? Evidence from India and partner countries

Institutional quality has been opined as a significant determinant of FDI inflow in international business literature. On the contrary, literature on determinants of institutional quality and how it changes is scant and merits further study. This study analyses the impact of FDI on institutional distance in the context of India and its partner countries, i.e., whether it leads to convergence or divergence of institutional distance. We identified a significantly positive impact of FDI on institutional distance. Further, to capture the heterogeneity among our partner countries, we subdivided our sample based on the partner country's development level and analysed the source of change in institutional distance.

Dynamic Analysis of the EU Countries Sustainability: Methods, Models, and Case Study

The agenda for sustainable development actualizes sustainability analysis of countries’ social, ecological, and economic conditions, as well as the necessity of designing practical recommendations to realize the sustainable development goals (SDGs). Sustainability analysis is a part of decision making and policy development in a broad environmental, economic, and social context. That is why this analysis goes beyond simple technical assessment. In order to make sustainability a target variable in development strategies, it is necessary to use special methods combining mathematical tools and managerial content. The paper systematizes modern mathematical methods for assessing economic sustainability and proposes a methodology for the integrated assessment of the social, economic, and environmental sustainability of countries, which were tested on data from 24 EU countries over 12 periods. The case study results derived from spatial and temporal samples are consistent with the currently observed processes in the EU. The content basis is the UN concept of sustainable development, the instrumental basis is multivariate comparisons, the Mahalanobis distances method, the correlation and regression analysis, analysis of variance, time series analysis, and trends analysis. Composite indices of social, economic, and environmental sustainability of the EU countries, each of them including five indicators, were developed in this study; the levels of social, economic, and environmental sustainability of EU countries were determined, as well as individual instability indicators. Mahalanobis distances and relative and absolute sustainability indicators were calculated and determined. Cluster analysis of the EU countries by levels of social, economic, and environmental instability and Mahalanobis distances, the diagnosis of the current situation and dominant trends were carried out for testing the hypothesis that there are positive relations between the instability of development and Mahalanobis distances. Hypotheses about the relationship between instability and the level of country development, reflected in the values of socio-economic and environmental indicators, and whether countries with good values of social, environmental, and economic indicators are the most sustainable, were investigated.

Global, regional, and national burden of gallbladder and biliary diseases from 1990 to 2019.

Gallbladder and biliary diseases (GABDs) are a major public health issue. To analysis the cause-specific incidence, prevalence, and years lived with disability (YLDs) and its temporal trends of GABDs at the global, regional, and national level. Data on GABD were available from the Global Burden of Disease study 2019. The estimated annual percentage change (EAPC) was used to quantify temporal trend in GABD age-standardized incidence rates (ASIRs), age-standardized prevalence rate (ASPR), and age-standardized YLD rate (ASYR) by region, sex. We analyzed the relationship between the GABD burden and country development level using the human development index (HDI). In 2019, the incident cases of GABD were 52003772, with an ASIR of 63432/100000 population. Globally, the number of incident cases and ASIR of GABD increased 97% and 58.9% between 1990 and 2019. Although, the ASPR and ASYR decreased from 1990 to 2019, the number of prevalent and YLDs cases increased. The highest ASIR was observed in Italy, and the highest ASPR and ASYR was observed in United Kingdom. The highest burden of GABD was found in low-SDI region, and the burden in female was significantly higher than males. A generally negative correlation (ρ = -0.24, P < 0.05) of GABD with the EAPC and human development index (HDI) (in 2021) were observed for ASIR. What's more, no correlation in ASPR (ρ = -0.06, P = 0.39) and ASYR (ρ = -0.07, P = 0.36) of GABD with the EAPC and HDI (in 2021) were observed, respectively. GABD remain a major global public health challenge; however, the burden of GABD varies geographically. Globally, the number of incident cases and ASIR of GABD increased between 1990 and 2019. The results of our study provide insight into the global disease burden of GABD and may assist policymakers in formulating effective policies to mitigate modifiable risk factors.

Institutions and macroeconomic indicators: entrepreneurial activities across the world

PurposeEntrepreneurial activity is a phenomenon that increases the economic growth of countries and improves their social welfare. The economic development levels of countries have significant effects on these entrepreneurial activities. This research examines which institutional and macroeconomic variables explain early-stage entrepreneurship activities in developed and developing economies.Design/methodology/approachThe authors conducted panel data analysis on the data from the Global Entrepreneurship Monitor (GEM) and International Monetary Fund (IMF) surveys covering the years 2009–2018.FindingsFirst, the authors' results reveal that cognitive, normative and regulatory institutions and macroeconomic factors affect early-stage entrepreneurial activity in developed and developing countries differently. Second, the authors' findings indicate that cognitive, normative and regulatory institutions affect early-stage entrepreneurship more positively in developed than developing countries. Finally, the authors' results report that macroeconomic factors are more effective in early-stage entrepreneurial activity in developing countries than in developed countries.Originality/valueThis study provides a better understanding of the components that help explain the differences in entrepreneurship between developed and developing countries regarding institutions and macroeconomic factors. In this way, it contributes to developing entrepreneurship literature with the theoretical achievements of combining institutional theory and macroeconomic indicators with entrepreneurship literature.