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This paper discusses the nominal and real convergence regarding Greece being a country-member of the European Union (EU), and of the Economic and Monetary Union (EMU). We argued that nominal convergence is relative to Maastricht criteria when real convergence has been investigated through six different axes: (1) the five Maastricht Criteria, (2) the GDP per capita in PPP prices, (3) the real GDP growth rates, (4) the minimum wages, (5) the HDI index development, and (6) the unemployment rates. We concluded for the case of Greece that by utilizing alternative indicators, such as the Maastricht criteria, and the above criteria only nominal convergence exists while real convergence appears to be a long-term target with many obstacles. In particular, Greece has managed to achieve the criteria proposed by the EMU (Maastricht Criteria) for membership, decisively different levels of unemployment, wages, and GDP growth rate/GDP per capita in PPP prices, and different human development indexes appear for the case of Greece.

Innovation convergence is critical to national or regional economic growth patterns. This article provides a systematic review of innovation convergence research through qualitative discussions combined with bibliometric methods. Through this article, researchers interested in the field of innovation convergence can quickly understand the development of the field, quickly identify authors and publications with significant impact, and collaborative networks in the field.

This article is based on the relevant literature included in the WOS database from 1990 to 2021, using Citespace, Gephi and other software to conduct a systematic bibliometric analysis of the research in the new convergence field.

This research shows that the second half of the twentieth century was a boom period for research on economic convergence. 2. The subject foundation of innovation convergence research mainly includes mathematics, economics, political science and computational science. 3. The journals that publish research in this field are widely distributed, including the fields of economics, natural sciences and complex sciences. 4. The research in the field of innovation convergence is inseparable from the research in the field of economic growth.

This study may help others to understand the development history and research trends of the innovation convergence field, as well as the literature and cooperative scientific research institutions that have an important influence.

“It should also be noted that the objective of convergence and equal distribution, including across under-performing areas, can hinder efforts to generate growth. Contrariwise, the objective of competitiveness can exacerbate regional and social inequalities, by targeting efforts on zones of excellence where projects achieve greater returns (dynamic major cities, higher levels of general education, the most advanced projects, infrastructures with the heaviest traffic, and so on). If cohesion policy and the Lisbon Strategy come into conflict, it must be borne in mind that the former, for the moment, is founded on a rather more solid legal foundation than the latter” European Commission (2005, p. 9)Adaptation of Cohesion Policy to the Enlarged Europe and the Lisbon and Gothenburg Objectives.

Purpose – In this paper we analyze the relationship between economic convergence with the European Union (EU) and foreign direct investment flows to five EU countries (Bulgaria, Czech Republic, Poland, Romania and Hungary) in the period 2001–2010, in order to determine if the process of economic convergence with the EU level influences FDI inflows in these economies. The paper covers an important research question and reveals empirical findings for the new EU member states.

Methodology – This paper uses a quantitative analysis based on a convergence index creation, and also an exploratory data analysis in order to determine how economic convergence with the EU level influences FDI inflows. The economic convergence index is made up of two equal parts, more exactly a real convergence index and a structural convergence index, and is computed by comparison with the EU average.

Findings – The study does not provide us with a clear answer to our question regarding the influence of the convergence process on the level of FDI attracted by a country. We report a tight relationship between convergence index and FDI inflows in Bulgaria, but quite divergent evolutions of the two variables in the case of Hungary. For the other three countries the indicators fluctuate a lot.

Originality – The main contribution of the paper is represented by additional empirical evidence on economic convergence and FDI inflows for the new EU member states. The empirical research in this area is at an early stage and even though the existing stage does not provide us with accurate conclusions, the theme remains important for the business environment.

Another important contribution of the study consists of creating an economic convergence index that is composed by both real and structural indexes and that offers valuable information regarding the economic evolution of the new EU member states.

This chapter aims to analyze whether member countries of the Pacific Alliance agreement showed economic and financial convergence during the 2010–2016 period. The sample consists of four Latin American countries that are members of the Alianza del Pacífico (Pacific Alliance): Mexico, Chile, Colombia, and Peru. We use an economic convergence index (ECI) to classify the degree of the countries’ convergence regarding a given monetary area, considering the size of their economy, and compute three criteria: (1) nominal variables (used to define the Maastricht criteria), which are inflation, long-term interest rates, public debt, fiscal deficit as percentages of gross domestic product (GDP), and exchange rate volatility; (2) real and cyclical variables such as real GDP growth, gap between real GDP and potential GDP, unemployment, current account balance as a percentage of GDP, and short-term interest rates; and (3) a conditional combination that unequally weights nominal and real variables. We also use correlation analysis to compare coefficients. The results can be analyzed in the medium term in terms of descriptive statistics of their real and nominal variables, convergence indexes, and correlation analysis. The results show that the countries of the Pacific Alliance under study are converging in terms of nominal variables such as interest rate, exchange rate, fiscal deficits, and government debt. Also it can be observed that convergence occurs in real and weighted variables, although to a lesser magnitude. In relation to real variables related to GDP growth and foreign trade, these variables adjust less quickly than nominal ones.

This paper aims to examine the convergence in per-capita income (measured as per-capita net state domestic product) of regions in India during the period 1990–1991 to 2017–2018. Two separate analyses have also been done for the sub-periods, i.e., 1990–1991 to 2003–2004 and 2004–2005 to 2017–2018, to find out the effect of the second phase of economic liberalization in India.

In a panel data study, the estimation of absolute and conditional beta (β)-convergence and sigma (σ)-convergence across 17 Indian regions have been done. To measure the dispersion of per-capita income across the regions in India, the standard deviation of logs, Gini coefficient, Mehran measure, Piesch measure, Kakwani measure and Theil index have been estimated. In addition to this, these indices have been regressed over time.

This study finds the presence of absolute and conditional β-convergence; the regions with low initial per-capita income have grown faster than the regions with high initial per-capita income. Further, this study finds that foreign direct investment (FDI) inflow and the availability of power enhance growth across regions. However, this study finds the presence of σ-divergence, which indicates that the economic inequality among the regions in India has widened over the periods, calling for policy interventions to promote growth in the backward regions through the promotion of FDI inflow and the availability of power.

This study highlights the rising economic inequality among the regions in India by analyzing the latest available data through appropriate econometric techniques.

The purpose of this paper is to investigate convergence or divergence trends at global scale.

The paper questions the methodology and findings of the conventional convergence literature using linear OLS models. It introduces polynomial (quadratic) weighted least square (WLS) regression analysis to explore whether a number of economic performance indicators follow a non‐linear pattern of change.

The results indicate the formation of two groups in the world: a convergence one, including countries with low to medium‐high development levels, and a divergence one including countries with medium‐high to very high development levels.

Data availability after 1990 (for the composite indicators).

The findings shed light on important issues, such as the decrease of economic disparities between countries, the prospects for global economic convergence, and the development of a more equal world. Apart from obvious policy implication such findings are also of theoretical significance, providing a basis to check (indirectly) the validity of alternative growth theories.

This is the first paper (to the authors' knowledge) that explores world convergence/divergence employing quadratic WLS regression analysis with a number of economic indicators. WLS regressions enable the removal of the impact of country size on results, whereas non‐linear modelling allows the possibility of multiple equilibria and different development trajectories to be taken into account. Finally, the employment of various economic‐performance indicators (simple and composite) works as a cross‐check of validity for the results provided.

The purpose of this paper is to empirically test the economic convergence that operate between five selected Asian countries (namely Thailand, Singapore, Malaysia, the Philippines and Indonesia). In particular, it seeks to investigate how increased economic integration has impacted the inter-country income levels among the five founding members of ASEAN.

A new Machine Learning (ML) approach is applied along with a panel data analysis (GMM), and the application of KOF Globalization Index.

The Generalized Method of Moments (GMM) results highlight that the endogenous growth theory seems to be supported for the selected Asian countries, indicating evidence of diverging forces resulting from unequal growth and polarization dynamics. Overcoming the technical issues raised by the econometric approach, the new ML algorithm brings contrasted but interesting results. Using the KOF Globalization Index, the authors confirm how the last phase of globalization set the conditions for an economic convergence among sample members.

Using the KOF Globalization Index, the authors confirm how the last phase of globalization set the conditions for an economic convergence among sample members. As a matter of fact, the new LSTM algorithm has provided consistent evidence supporting the existence of converging forces. In fact, the results highlighted the effectiveness of the experiments and the algorithm we chose. The high predictability of the authors’ model and the absence of self-alignment in the values showed a convergence be-tween the economies.

The unexpected Eurozone Sovereign Debt Crisis (2010–2012) aroused different attempts of interpretation among analysts and practitioners. While some attributed the crisis to a “contagion” effect of the Subprime Mortgages Financial Crisis in the United States (2007–2009), others saw in it an expression of deeper fundamental economic imbalances.

This chapter presents an evaluation of whether there is convergence or divergence in the sectorial international competitiveness of the Eurozone area countries. A Dynamic Panel Data analysis on country-level exports for all Eurozone members for a period that goes from 1993 to 2014 finds significant evidence of international competitiveness convergence in four- out of 10-export sectors, and no significant evidence of divergence in the rest. While that evidence is not consistent with the high expectations generated by monetary integration more than 15 years ago, those four sectors correspond to high value-added economic activities and, in that sense, indicate a more homogeneous productive modernization process is taking place in the area.

Does education still serve as a great equalizer today? Does today’s worldwide expansion of schooling foster a global economic convergence? These questions need fresh answers at this time of growing concern over inequality. Past studies have abundantly documented the effects of schooling on within-country inequality, but we know little about corresponding effects on between-country inequality. We fill this gap by drawing on two innovations. The first is to formulate a theory of global inequality that integrates international differences in both the quantity and quality of education. The second, methodological, innovation is to propose and apply a method for decomposing trends in global inequality in GDP in terms of five social forces that include the quantity and quality of schooling. Analyses focus on the 1990–2010 period. The results confirm the continued salience of education: Trends in education account for as much as 80% of the 1990–2010 decline in between-country GDP inequality. However, we find a declining significance of “quantity” over “quality.” In sum, education remains salient as a global equalizer but its salience increasingly depends on bridging international differences in school quality.