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Using composite indices, the paper examines the nexus between militarization, globalization and liberal democracy. The democratic peace theory, the conflict inhibiting effects of international trade – a key and dominant facet of globalization – and the democracy promoting globalization hypothesis form the theoretical underpinnings of the empirical investigation.

To probe into the issue at hand, the paper adopts a dynamic panel VAR estimation procedure. Given the usual data constraints, the sample consists of 113 countries, and the estimations span the period 1995–2019.

The findings from the dynamic panel VAR estimations suggest the presence of a negative and statistically significant nexus between the level of globalization and the level of militarization. No statistically traceable nexus between globalization and liberal democracy was found.

The findings offer empirical support to the hypothesis that the strong links of interdependence shaped by globalization reduce the need for military preparedness. The results lead to a tentative inference in favor of the doux commerce thesis. Nonetheless, given that the estimations span a historically specific period – the entire post-bipolar era – the inferences that stem from the findings should be treated with caution.

To the best of the authors’ knowledge, the composite indices Bonn International Centre for Conflict Studies (BICC) militarization index, the globalization index of the Swiss Economic Institute (Konjunkturforschungsstelle) (KOF), LibDem, polyarchy have not hitherto been jointly used in previous studies to examine the nexus between militarization, globalization and liberal democracy.

This study aims to investigate current deglobalization against globalization and to hypothesize reasons and drivers of deglobalization. In addition, the study suggests an empirical model to test whether deglobalization exists in the world economy. The consequences of deglobalization are discussed.

Various measures for deglobalization are introduced for monitoring the deglobalization of a country, and statistical measures are reported. The research framework for deglobalization and empirical models are suggested. The relationship between deglobalization and globalization is being modeled using three KOF globalization indexes: economic, political and societal. This study used panel data from 1970 to 2017 for developed and developing countries to determine the degree of deglobalization.

Deglobalization has been found empirically since the global financial crisis. Deglobalization is estimated by the decreasing trend of import share in a country's gross domestic product and is influenced by manufacturing imports, country's income divide and political globalization. Both economic and societal globalizations have negative influence on deglobalization. Deglobalization is more apparent in developed countries than in developing countries, and the deglobalization trend will continue in diverse formats.

This study limits the use of few variables to test the antecedents of deglobalization. Another study can be done to extend preceding variables and estimate the consequences of deglobalization, which may segregate the globalization effect. The international business executive should understand the complexity of deglobalization and consider business benefits and risks to be encountered.

This study used panel data from 1970 to 2017 for developed and developing countries to determine the degree of deglobalization.

The study's objective is to examine the relevance of globalization in affecting the size of the shadow economy in selected African nations.

To do this, the authors employ the KOF globalization index and implement both static and dynamic common correlated mean group estimators on a panel of 24 African nations from 1995–2017. This technique accommodates the issue of cross-sectional dependence, sample bias and endogenous regressors. Panel threshold analysis is also conducted to establish the nonlinearity between globalization and the shadow economy. To examine the causality between the variables, the study employs Dumitrescu and Hurlin's panel causality test.

The results show that globalization reduces the size of the shadow economy. The results of the nonlinear analysis suggest a U-shaped relationship. Overall globalization has a threshold impact of 48.837%, economic globalization has 45.615% and political globalization has 66.661% while social globalization has a threshold value of 35.744%. The results of the panel causality show that there is a bidirectional causality between the two variables.

The results suggest that the government and other relevant authorities need to introduce capital controls and other policy measures to moderate the degree of social, political and cultural diffusion. Appropriate policies should be formulated to monitor the extent of African economic openness to other continents to maximize the gains from globalization.

Apart from being the first study in the African region that evaluates the relevance of globalization in controlling the shadow economy, it also analyzes the dynamics and threshold analysis between the two variables using advanced panel econometrics which makes the study unique. The study suggests that globalization tools are useful for affecting the size of the shadow economy in Africa. This study provides fresh empirical evidence on the impact of globalization on the shadow economy in the case of Africa.

This study aims to analyse the impact of digital divide (DD) on income inequality in sub-Saharan Africa over the period 2004–2016.

In applying a finite mixture model (FMM) to a sample of 35 sub-Saharan African (SSA) countries, this study posits that DD affects income inequality differently.

The findings show that the effect of DD on income inequality varies across two distinct groups of countries, which differ according to their level of globalization. In addition, the study shows that most globalized countries are more inclined to be in the group where the effect of DD on income inequality is negative. The results are consistent with several robustness checks, including alternative measures of income inequality and additional control variables.

This study complements that extant literature by assessing linkages among the DD, globalization and income inequality in sub-Saharan African countries contingent on cross-country heterogeneity.

This paper attempts to investigate through empirical exercise how the chances of female employment opportunities rise in a developing country like India, against the backdrop of changes in institutions that are associated with globalization.

The paper develops a simultaneous equation model through a growth equation, gender equation and globalization equation to identify the factors impacting female labor market opportunities in India, based on annual time series data 1991–2019.

The major results of this study are as follows: (1) It is social globalization that positively impacts gender equality in employment opportunities apart from economic growth and trade diversification; (2) Evidence of “feminization of labor force” in the context of trade diversification is found; and (3) Equal gender opportunities reflect in equalizing outcomes in the labor market.

Growth strategies need to be constructed in such a way in India that it has redistributive implications and benefits women. The state agency needs to optimize the productive base of human resources and increase women's empowering capability through social and legal sanctions.

The uniqueness of the present paper lies in contributing to the existing literature on how gender inequality impacts trade diversification and how trade diversification impacts gender.

The contribution of women entrepreneurs is still invisible and needs to be properly investigated. The purpose of this paper is to investigate this relationship by measuring women entrepreneurship and economic development at global level.

Secondary data has been retrieved from Female Entrepreneurship Index Report 2015, Human Development Report 2015 and KOF Index of Globalization 2015. Cross-sectional data is used from 69 countries of the world. Multiple regression is applied to estimate the data.

The results explained the significant impact of women entrepreneurship on the economies of the world. It was observed that women participation in entrepreneurial activities not only supports to their family income but also plays a significant role in economic development and social well-being of the society.

There is no information about total output of women entrepreneurs in terms of new enterprises setups and established businesses of women except for year 2015. So, to measure the real contribution of women entrepreneurs around the globe is still a challenge.

It is reality that when women would be empowered as entrepreneurs then whole society gets benefits from it, as women entrepreneurs are beneficial for not only economic development but also social development of society.

This study uniquely addresses the contribution of women entrepreneurs in the world economy which is still an unseen but a powerful benefactor of development.

This paper aims to discuss the main characteristics of the Middle East North Africa (MENA) region's capital inflows volatility. It also examines the effect of institutional quality and information availability on capital inflows volatility in selected MENA countries (Bahrain, Egypt, Israel, Jordan, Kuwait, Libya, Morocco, Oman, Saudi Arabia and Tunisia) in the period 1996–2017.

The study's assessments are based on the International Country Risk Guide (ICRG) and globalization indices. It also employs an updated data set of balance of payments indicators released by the International Monetary Fund. Moreover, the study uses econometric panel modeling of random effect model, with Driscoll-Kraay robust standard error, to analyze the relationship between capital inflows volatility, institutional quality and information availability.

The paper finds that both institutional quality and information availability are in an inverse relationship with the total capital inflows volatility in the MENA region. However, the findings vary across the different components of total capital inflows. For example, the volatility of foreign direct investment (FDI) declines, like total capital flows, as the two factors improve. However, the volatility of foreign portfolio investment (FPI) is negatively related to institutional quality but does not have any significant relationship with information availability. While the volatility of foreign other investments (FOI) decreases with the availability of information, but does not have any significant relationship with institutional quality.

This paper expands the limited literature regarding the determinants of capital inflows volatility. Furthermore, it is the first study that investigates the effect of institutional quality and information availability on capital inflows volatility in the MENA region.

The purpose of this paper is to contribute to a better understanding on relations between Chinese Outward Foreign Direct Investment (OFDI) and host country political risk. To contribute to a better understanding of whether traditional wisdom on foreign direct investment (FDI) is sufficient to explain the internationalization of Chinese multinational enterprises, the author collected 15 proxy variables from the PRS Group and Heritage Foundation and applied principal component analysis (PCA) to construct a new political risk index (PRI) that measures multiple facets of political risk for 139 countries.

Using this new PRI as a criterion, the author investigated changes in the political risk distribution (PRD) of Chinese outward FDI (OFDI) regarding investment destinations, large projects, annual investment outflows and sectorial distributions from 2006–2017.

The author found that the vast majority of Chinese OFDI during this period is concentrated in moderate- and low-risk countries, even at the sectorial level. This paper also shows that the continuing reform of Chinese OFDI policy and strong government support have led to an unprecedented increase in Chinese OFDI, while the PRD of Chinese OFDI has maintained a gradual decline over the past decade.

This research provides a new measurement that covers multiple facets of political risk.

Among the many factors fueling the inflationary tendencies in an economy such as monetary shocks, structural shocks, demand shocks, external shocks and demographic changes, the issue of inflation (INF) has also been found to be related to fiscal policy decisions of the government. The purpose of this study is to investigate the inflationary tendencies in India particularly from the fiscal point of view. The study also examines the influence of other potential determinants such as output growth rate, interest rate, trade-openness (TO) and oil price inflation (OPI).

To examine the dynamic nature of association between fiscal deficit and inflation, the study applies the Toda-Yamamoto (1995) test and Breitung and Candelon (2006) test to investigate the nature of causality in time and frequency domain frameworks. In addition, to scrutinize the possibility of a long-run association, that too from an asymmetric point of view, the study applies a Non-linear Autoregressive Distributed lag model (NARDL) given by Shin et al. (2014). Finally, non-linear cumulative dynamic multipliers are used to trace the traverse between disequilibrium position of short-run and subsequent long-run equilibrium of the system.

The authors found a unidirectional causality from fiscal deficit to inflation in case of time domain analysis and no feedback causality is reported. However, in case of frequency domain design, causality from fiscal deficit to inflation is found at low frequencies only, i.e. no short-run causality is established and hence dynamic nature of the relationship between the two variables is vindicated. Using NARDL model, the results document the existence of an asymmetric long-run direct association between fiscal deficit and inflation. However, an increase in deficit is found to be more inflationary and a decrease affects the inflation with a lower magnitude. The asymmetric impact of fiscal deficit on inflation can be explained through the existence of liquidity constraints, consumption-investment downward inflexibility and the downward price stickiness. Contractionary monetary policy action is found to be more effective than an expansionary one, signifying the asymmetric influence of monetary policy actions on the inflation of India. Similarly, in a supply-constrained economy with downward price rigidity, the authors found an asymmetric impact of output growth and output decline on inflation. As regard to the trade-openness, although an asymmetry is reported, the signs refute the validation of Romer (1993) hypothesis. Finally, the impact of oil price inflation on the inflationary pressures is according to theory but the coefficients are devoid of statistical significance.

These results indicate some important policy recommendations. Fiscal consolidation strategy should be executed in an appreciable manner to achieve the sound fiscal health and lower INF. The disciplined fiscal strategy would also be imperative for an effective monetary policy. Monetary authorities should possess noticeable credibility to manage the macroeconomic system and policy stances should be implemented according to requirements of the economy. Growth in output should be encouraged to have two-fold benefits to the economy – reducing INF on the one hand and fiscal deficits on the other.

The study contributes to the existing literature in the following ways. First, taking note of dynamic nature of the relationship between these two variables, the study examined the deficit INF nexus in a dynamic and asymmetric framework. The novelty of the study is ensured by the very nature of it is the first study in case of India to identify the fiscal INF in an asymmetric configuration. The authors applied a NARDL model, given by Shin et al. (2014) to examine the existence of any cointegrating relationship in an asymmetric paradigm. Second, the nature of causality between fiscal deficit and INF has been examined in a time domain and FD framework to portray precisely the casual interactions between these two variables in the short-run and long run. The study will, therefore, enrich the existing literature along the asymmetric lines.

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.