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This chapter explores the transformation and interrelation of the concepts of ‘competition’ and ‘competitiveness’. This analysis enables us to substantiate the elements of national economic competitiveness and, subsequently, build strategies to increase the competitiveness of economic agents in world markets.

The authors use systemic, historical, adaptive and synergetic methods. Moreover, the authors apply structural and functional analysis, empirical generalisation and grouping. The research object is the transformation of the concept of competition.

Under the conditions of digitisation, geopolitical aggravation, geo-economic factors, and more general scientific and technological progress, competition becomes a dynamic process and transforms into an endogenous component of the market environment, which stimulates change in economic entities.

Competitiveness is a diverse economic concept that encompasses mechanisms of interactions and interrelations of economic entities, multi-level economic coordination apparatus and competitive advantages that help achieve economic goals. Nevertheless, contemporary definitions of competitiveness are unclear because of its scale and the simultaneous need for its application to entire nations. Consequently, this research analyses the transformation and interrelation of the concepts of ‘competition’ and ‘competitiveness’. Moreover, the research identifies and substantiates the main elements of the national economic competitiveness of Russia. The research findings facilitate future micro- and meso-level research on strategies for managing and transforming the national economy.

The aim of this chapter is to draw attention to the changes that have taken place in Czechia in the last 20 years in the field of foreign trade, focussing on the key milestones of 2002, 2012 and 2022. The chapter also explains the important link between the performance of foreign trade and economic growth; this link has its support in theory, and above all in empiricism. The importance of foreign trade for economic growth is key, especially from the point of view of changes in the territorial and commodity structure, which saw several important changes in the observed period 2002–2022, so we can relevantly explain the effects on the economic growth of Czechia. However, the chapter finds a connection with yet another economic category, which is competitiveness. The method of measuring and subsequent ranking of competitiveness is also of utmost importance. If the economy is to be competitive, it must have its own strategy, and this directly concerns the key instruments of pro-export policy.

This paper aims to investigate the smart economic development (SED) patterns in Europe in relation to competitiveness. Motivational focus corresponds to global events: the fourth industrial revolution, transition to a low-carbon economy, economic shocks (such as the 2008 financial crisis, Brexit or the coronavirus pandemic), which requires rethinking development policies, targeting competitiveness increase and reducing imbalances in economic development.

The analysis includes self-organising neural networks cluster analysis and correlations, comparative analysis of SED indicators structure and cumulative index estimation with World Economic Forum (WEF) global competitiveness index. The panel data set of 19 years from 2000 to 2018 for 30 European countries.

Overall, cross-country examination suggests that European countries of higher competitiveness illustrate higher estimates in SED. The key determinants are juridical fairness, social responsibility, competence building, intelligence and welfare employment to develop smart patterns for reaching higher competitiveness.

The limitations relate to the particular sample of European countries and gathering statistical data and a methodology of the SED index calculation. In addition, the paper contains a macroeconomic environment focus on competitiveness estimation. Further research may be improved with micro and mezzo environment incorporation at a cross-country analysis level.

By linking well-known terms of competitiveness and economic development with a concept of smartness, new approaches to policymaking emerged. The methodology presented in this paper has implications for territorial cohesion policies, competitiveness and branching strategies. The combination of SED sub-indexes and WEF GCI might aid a more accurate ex ante measurement.

The findings are essential for fostering a smart approach in economic development for long-term competitiveness.

This paper provides original empirical evidence about the relationship between SED and competitiveness and adds new knowledge that smartness becomes a way for building countries’ competitiveness by identified two profiles of SED patterns by development stages, namely, integrated to economic development and institutional-based which is divided to focus and balanced.

The purpose of this paper is to analyze the performance and the relationship between competitiveness, real gross domestic product (GDP) growth and human development in 20 countries of the Latin America and Caribbean region during the 2006-2015 period. The main argument to uphold here is that – from the perspective of virtuous circle – countries with better conditions of competitiveness are those with better economic performance and with better conditions for human development.

Time series data were organized at three levels: individual countries, groups of nations and Latin America and Caribbean as a whole. Indicators used were: index of competitiveness, rates of change in real GDP and Human Development Index. Cluster analysis tests were performed: data ranges were determined and quintiles were established. Countries were ranked in five categories and comparative position matrices were determined for each variable. Linear correlations between indexes were calculated. Linear correlation coefficients were determined in terms of groups of countries and considering Latin America and Caribbean as a whole.

Findings revealed that decreasing conditions in competitiveness and economic growth indicators are the representative situation since 2009. The most competitive country in the region is Chile, and the weakest is Venezuela. Nevertheless, all Latin American and Caribbean countries analyzed seem to have made progress in terms of human, economic and social development. Regarding correlations, Dominican Republic showed an inverse relationship between competitiveness and economic growth, while Jamaica and Venezuela showed inverse relationships between competitiveness and human development. At the individual country level, no statistically significant relationship between economic growth and human development was detected.

Findings highlight the necessity of future research that result in a deeper understanding of the transmission mechanisms between economic and social performance in Latin American and Caribbean countries. Particular reasons at the micro level that explain improvements or deteriorations in competitiveness and human development must also be analyzed. Based on the degrees of freedom, time series could have included more years, but a lack of information was found for some countries. It would also be necessary to observe each particular case considering the type of economy, production characteristics and export/import composition.

Results complement the existing literature by exploring competitiveness and its relationship with economic and social variables in developing countries. The authors also believe that this paper is relevant for macroeconomic and social policy debates involving competitiveness and human well-being in this region of the world.

This paper supports an important argument: human well-being and national development must be the ultimate goal of competitiveness. Traditional literature focuses on levels and determinants of competitiveness in developed countries, but it usually does not take into account social and human aspects of the process in developing countries. Little attention has been paid to analyze the relationship between competitiveness and socioeconomic variables in developing countries. Methods and findings of this paper complement the existing literature by studying the relationships among competitiveness, real GDP growth and human development in Latin American and Caribbean countries, using correlation analysis.

The objective of this study is threefold–first, to develop a Regional Competitiveness Index (RCI) for measuring competitiveness of sub-national regions for India; second, to test this index for its ability to explain regional growth, which validates usage and applicability of this index; and third, to further investigate if the competitiveness of states is in turn caused by economic growth, i.e. it is tested if there is a bidirectional causality between competitiveness and regional growth.

The data of indicators used in the index are from sources available freely in public domain. The competitiveness index is constructed using equal weightage supported by principal component analysis (PCA) technique. The causal relationship analysis is done using panel data of 10 years from 2008 to 2017 for 32 Indian states/union territories. The generalized method of moments (GMMs) is used for this dynamic regression estimation.

Based on RCI score, states have been ranked and through rank analysis, the authors observe the performance status of these sub-national regions and are able to categorize them as improving, no change or deteriorating in regional competitiveness. Using the GMM estimation, the association between RCI and economic growth is found to be significant at 10% level. This shows that regional competitiveness as captured through the RCI score is able to explain regional economic growth and economic disparity among the sub-national units. Further, that RCI score is found to Granger-cause growth, while growth does not lead to better RCI scores. This establishes the usefulness of RCI as an important policy variable to compare states and provide direction for sectoral reforms.

The limitations of the study include (1) broad assumption that these sub-national regions belong to a uniform macro-economic and technology environment, and (2) data constraints as it is a longitudinal study. The study implies that the composite index could capture differences in regional competitiveness explaining regional economic disparity and that competitiveness causes higher economic growth and not vice versa.

The RCI score can prove to be a useful indicator of economic performance of different states and can be used by national and state policymakers to compare and assess regional disparity among different states. The pillar-wise scores will be useful for in-depth study of weakness and strength of the sub-national territories.

Construction of an RCI for sub-national territories and analysis of panel data for longitudinal study of ten years is unique in the regional competitiveness literature.

This paper aims to investigate theoretically and empirically the interactions between smart economic development (SED) and competitiveness in Central and Eastern European (CEE) countries. The main argument to uphold here is that smartness approach has been traditionally more focused on smart urban planning and smart specialization.

An evaluation by index, correlation and significance analysis is used to present original empirical evidence from six CEE countries.

Smartness approach integration into economic development justifies the identification of SED determinants: basics (welfare, digitality, environmental, social responsibility) and enhancers (learning, networking, agility, innovations and knowledge-driven). The interaction between SED and countries’ competitiveness in CEE countries might be described by two approaches, namely, focus-based (several most important basics and enhancers) and balance-based (equal importance of basics and enhancers).

The limitations relate to the particular sample of CEE countries and gathering opportunities of statistical data.

The combination of SED-Index sub-indices and WEF GCI might aid a more accurate ex ante measurement. Despite common global challenges, each country should choose its own combinations for smartness determinants to achieve long-term competitiveness.

The findings are important for fostering smartness approach in economic development for long-term competitiveness.

This paper contributes to economic development literature by discovering basics and enhancers for SED. By linking well-known term of competitiveness and economic development with a concept of smartness, the new approaches, namely, focus-based and balance-based, to policy making in CEE countries emerged.

This study aims to evaluate the competitiveness of nations and seeks to answer the following research question: how does the competitiveness of nations include improvements in the quality of life, thus influencing and contributing to social progress in both social and economic indices?

This paper collected secondary data from the World Economic Forum and the socioeconomic dimensions of the Social Progress Imperative Index and considered the dimensions of these indices, which were demonstrated using Pearson’s correlation coefficient. The main focus was on the documentary analysis that was carried out to explain the realities of 121 countries from 2014 to 2017 as taken from these indices, considering the 10 countries at the top and bottom.

This study showed the use of new measures for the performance of nations that are less dependent on economics and focus more on social development, which may be a trend for the future of nations, and produce a more holistic view for the study. “Innovation” is the factor with the weakest relationship with social progress, which is justified by a weaker relationship with one of the subcategories, “basic human needs”, when analyzed in isolation. However, when the authors analyze the best and worst nations, the authors observe that economic factors are still prevalent, with the “institutions” and “infrastructure” factors being effective for improving competitiveness and the quality of life.

The findings represent a new, emerging configuration in country performance, but the study has its limitations, such as the use of only two pooled variables and the fact that it does not correlate their dimensions or variables.

This study can represents an expansion logic for measuring the performance of countries considering social factors. The main contributions of this study are its statistical evidence and documentary analysis of the relationship between economic and social variables. The main contribution of this paper is to show that over time (2014–2017) economic factors, as measured by the competitiveness index of nations, relate to aspects of social welfare, as measured by the social progress index.

The purpose of this paper is to determine whether the way competitiveness is measured matters, as well as to analyze the relationship between tax burden and economic competitiveness using a variety of model specifications.

This paper uses statistical models aimed at finding the relationship between taxes and different measures of economic competitiveness, such as gross domestic product per capita, employment and a third-party competitiveness index. Other variables are also considered, and statistical procedures such as lag specifications and “white period” errors are used to address problems of endogeneity and serial correlation.

The models find no robust relationship between taxes and competitiveness. Certain models find correlations between the tax burden of specific income groups with economic competitiveness, but these vary in direction and are difficult to interpret. This follows past research, which shows different results depending on the period analyzed, measure of competitiveness and other variables used.

This paper looks at many of the different measures of competitiveness, control variables and periods that are used in the previous literature and shows how any changes to these model specifications cause inconsistent results. This paper highlights that, because results can vary greatly depending on the model, researchers and policymakers must be careful when drawing any conclusions from relationships between taxes and economic competitiveness.

This paper aims to assess the short- and long-run effects of the interaction between institutional quality and financial development (FD) on the competitiveness of the WAEMU economy over the period 2007–2018.

The methodology consisted of cross-referencing a synthetic indicator of FD with indicators of institutional quality and then estimating an auto regressive distributed lag model.

The results of the pooled mean group and dynamic fixed effect estimation show a positive and significant impact of this interaction on the competitiveness of the economy in the long run. In the short run, the results are quite similar to those in the long run for the direct effects but different for the crosses. Also, the analysis of country specificity shows that the results are similar to those in the short run since the interaction between FD and institutional quality (political stability and government effectiveness) negatively affects the competitiveness of Burkina Faso, Ivory Coast and Mali, and positively affects the competitiveness of Benin and Senegal.

These results suggest the need for effective policies to improve the quality of institutions to enhance the mobilization of financial resources through FD to ensure the competitiveness of economies. Improving the quality of the political and institutional environment is a prerequisite for economic competitiveness.

The paper is in line with the New Institutional Economics that developed in the 1970s. This referential framework is a heterogeneous body of work that encompasses works whose common point is the determination of the role of institutions in economic coordination. Unlike previous studies, which have focused on the contribution of the interaction between institutional quality variables and FD on economic growth, this paper analyzes the effects of this interaction on economic competitiveness. It, therefore, constitutes a contribution to this literature and aims primarily to fill this gap.

In today's global economy, a country's level of competitiveness has emerged as an important policy tool for business leaders and the impact of many economic and institutional “hard” factors on competitiveness have been studied. The purpose of this paper is to examine the impact that diversity, a “soft” factor, has on a country's level of competitiveness.

Using a sample of 102 countries, a multiple regression analysis is performed in which the relationship between a country's competitiveness, as proxied by the global competitiveness index, and diversity, as proxied by ethnic, linguistic, and religious diversity, are tested while controlling for other factors known to affect competitiveness. Further, a cluster analysis is performed in an effort to illuminate global patterns in competitiveness.

The results indicate that greater levels of ethnic diversity negatively and significantly affect a country's competitiveness, but greater levels of linguistic diversity positively and significantly affect competitiveness while religious diversity has no effect.

The reasons behind for the analysis results still need further research. For example, why do greater levels of linguistic diversity positively affect country competitiveness?

The IMF, World Bank, and other investors of capital need to understand whether diversity will help or hinder aid and loan programs and corporations need to consider diversity when conducting global business and foreign investment.

This study is the first to examine the relationship between diversity and country‐level competitiveness and has value to global business managers and investors.