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In this paper, we define a tractable procedure to measure worker incomplete information in the labor market. The procedure, which makes use of earnings distribution skewness, is based on econometric frontier estimation techniques, and is consistent with search theory. We apply the technique to 11 countries over various years, and find that incomplete information leads workers to receive on average about 30–35% less pay than they otherwise would have earned, had they information on what each firm paid. Generally, married men and women suffer less from incomplete information than the widowed or divorced; and singles suffer the most. Women suffer more from incomplete information than men. Schooling and labor market experience reduce these losses, but institutions within a country can reduce them, as well. For example, we find that workers in countries that strongly support unemployment insurance (UI) receive wages closer to their potential, so doubling UI decreases incomplete information and results in 5% higher wages. A more dense population reduces search costs leading to less incomplete information. A more industrial economy disseminates wage information better, so workers exhibit less incomplete information and higher wages. Finally, we find that foreign worker inflows increase incomplete information, and at the same time reduce average wage levels, at least in the short run.

This study aims to explore the relationships between GDP growth, education spending, central bank transparency (CBT) and accountability on the corruption perception index within the G20 countries, emphasizing their combined effects and interdependencies.

Using the central bank transparency index (CBTI) introduced by Dinçer et al. (2019), an analysis spanning from 2002 to 2019 was conducted on selected G20 countries, further refining the results by excluding EU members. Data sources included World Bank statistics and CBTI data. The research deployed the heteroskedastic and contemporaneously correlated panel-corrected standard error model to detail the effects of the aforementioned factors on the corruption index.

The study revealed no statistical evidence that economic growth had an effect on reducing corruption. Education spending emerged as a potent tool in curbing corruption, especially in EU nations. A strong correlation was identified between CBT and reduced corruption, consistent across G20 countries, regardless of EU affiliation. The insights emphasize the importance of enhancing education spending and CBT in combating corruption. For effective anti-corruption measures, countries are encouraged to invest more in education, amplify internal checks and adopt transparent central bank policies. Further research could delve into cultural, historical and political variables to understand corruption dynamics comprehensively.

This study aspires to address the existing gaps in the literature and provide a substantial contribution to the ongoing discourse and efforts to understand and mitigate corruption within the G20 countries and globally.

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.

The connection between urbanization and energy consumption in the context of cross-country and cross-sector analyses is poorly understood, especially in the Association of South East Asian (ASEAN). This paper aims to present the first extensive multi-level analysis of the relationship between urbanization and energy consumption in ASEAN countries from 1995 to 2013.

The multi-level (across country and sector) index decomposition method is used to analyze urbanization, energy mix, energy intensity and activity effects on energy demand. Urbanization is measured by two representative factors, name the urban population and the number of non-agriculture workers.

Despite the decreasing rate of urbanization, its effect on energy consumption has played the most important role since 2000. Since then, the effect has continued to increase at the national and sectoral levels across the whole region. The strongest urbanization impacts are encountered in the residential sector, followed by transportation and industrial sectors with much weaker effects in the commercial sector. The way in which urbanization impacts energy consumption depends strongly on the income level of the country studied.

The results provide quantitative relationships between urbanization and energy demand. For example, if the urban population and the non-agriculture workers decreased by 0.1 per cent per year, this would reduce energy demand by 1.4 per cent and 2.6 per cent per year respectively.

This contribution provides detailed quantitative insights into the relationships between urbanization and energy demand at sectoral, national and international levels, which are invaluable for policymakers in the region.

Prior research suggests that payment mechanisms are imbued with cues that affect purchase evaluation and future spending behavior. Credit cards are distinguished from other payment mechanisms as they elicit greater willingness to spend, prompt weaker recollections of past credit expenses and overvaluation of available funds – a phenomena the authors call as “credit card effect.” Little is known about the individuals’ differential exposure to the credit card effect. The purpose of this paper is to present a new concept and measure of susceptibility to the credit card misuse and indebtedness (SCCMI).

The study focussed on young credit card users (aged 18-25) from Malaysia, Singapore, and the UK as they represent varying levels of credit card issuance and consumer protection regulations. The authors conducted confirmatory factor analysis and invariance tests to assess the validity, reliability and parsimony of the proposed scale in the three countries. Further, the authors examined the prediction power of SCCMI on consumer tendency to become a revolving credit card debtor.

Results show that the SCCMI scale is valid, reliable and parsimonious across the multi-country context. The paper provided additional validity support through known-group comparison among various payers of credit card bills.

The convenience sampling used for the study is the main limitation. The findings bear important implications for more socially responsible marketing practice and better public policies in credit carder regulation for protecting young credit card users.

The new concept and measurement scale can be used for identifying the vulnerable individuals in credit card use, assisting consumer knowledge training, improving policies for credit card regulation, and helping credit card providers in socially responsible marketing practice.

The cross-country validity of the SCCMI scale provides a unique contribution for monitoring and auditing consumer vulnerability in credit card misuse in Asian and European market conditions.

SCCMI offers an original concept that is distinct from previous research in that SCCMI focusses solely on the state of likelihood to commit credit card abuse rather than the behavioral manifestations of credit card misuse. SCCMI provides a new tool for marketers and public policy makers for ethically responsible credit card marketing and regulation to protect youths’ benefits.

This paper aims to improve upon the initial quantitative assessment of Kerlin’s macro-institutional social enterprise (MISE) framework (Monroe-White et al., 2015) to test for the effect of country-level institutions on the social enterprise sector. Major improvements are the inclusion of the civil society variable and expansion of the culture component in the analysis.

By following Kerlin’s (2013) original work that draws on the theory of historical institutionalism, this paper employs multi-level regression analysis to test the effect of country-level institutional factors on organizational-level social enterprise across countries. This analysis uses new macro-level data specifically for civil society and culture components.

The initial assessment of the framework found that several country-level factors had a significant effect on the variance in the size of the social enterprise sector across countries. The analysis provided here additionally shows a significant positive influence of civil society on the size of the social enterprise sector and shows that formal institutions capture the effect of informal cultural institutions when included in the model together.

This analysis provides policymakers, development actors and researchers with a better understanding of the influence of civil society on social enterprises and the interaction between formal and informal institutional underlying factors.

This paper’s significant contribution is the addition of civil society in the MISE analysis, which was not possible before owing to lack of data, and additional cultural analysis.

The purpose of this paper is to set forth a less-costly, more flexible approach to teaching the analysis of international business development opportunities.

The approach capitalizes upon the high-quality business condition metrics, which are necessary to inform the development decision, that have recently become freely-available through a set of institutions that gather and distribute these metrics.

Critical thinking skills in this area are developed here not just by understanding the tools of analysis but also by having participated in a series of active classroom activities focused upon private investment decisions in a set of disparate countries.

This approach develops rising business professionals with refined critical thinking skills who will be able to immediately contribute to international business development decision-making.

Opportunities for students to learn these critical thinking skills can be far more available because the traditional method by which these skills have been taught has been by finding a partner business with the resources to pay for such data. In exchange for allowing students to use the data experientially the partner firm benefits from the work product of the students who study the international business development project at the firm’s offices.

The approach set forth provides an accessible alternate for those on-campus students and distance-learning students who do not need to have the flexibility to travel to the site of a business partner – where most of this learning has heretofore been arranged.

This study seeks to examine differences in the signals of brand quality that consumers utilize in and across different countries. The approach is driven by the practical goal of helping international firms understand how they could tailor their marketing mix to target consumers based on the particular signals of brand quality that they use in different countries.

Survey data are collected from Austria, Belgium, Hong Kong, Indonesia, Russia, Singapore, Thailand and the USA and analyzed using factor analysis to identify the signals that are used as extrinsic and intrinsic cues of brand quality in different clusters of countries. Two major dimensions of signals of quality are identified and used to generate four clusters of countries representing different beliefs in signals of brand quality.

Two major dimensions of signals of quality are identified and used to generate four clusters of countries representing different beliefs in signals of brand quality. These dimensions broadly fall in to those that can be characterized as external signals (brand popularity, retailer's name and volume of advertising) and internal signals (brand name, price and country of origin) with the eight countries clustering in terms of these signals. Thus, Austria, Belgium, Hong Kong and the USA form one cluster with Thailand and Russia forming another cluster while Indonesia and Singapore show differences in their signal preferences.

Practical implications in terms of standardization versus differentiation of marketing mix strategies are discussed. The most important implication is that differentiation of marketing strategies would seem to be advantageous contrary to the commonly held view that international firms need to standardize their marketing strategies in the face of increasing globalization and alleged consumer convergence.

This study seeks to examine differences in the signals of brand quality that consumers utilize in and across different countries.

The Brazilian municipalities show a huge disparity in income level. The GDP per capita difference between the richest and the poorest municipalities is about 190 times, according to IBGE (2000) database. This paper aims to analyze the impacts of Brazilian municipalities institutional quality on their levels of per capita income.

Institutionalist theory provides a plausible explanation for the gap among municipalities income level. Many empirical studies based on cross-country data have found a high correlation between institutional quality and the level of economic development, but there is little research concerning the extreme inequality within the national territory and its relationship with institutional quality. The theory suggests that the institutions matter for the level of economic development because of their effects on political power distribution, generation of economic opportunities, innovation, human capital accumulation, and so on.

Overall, an increase by one point in the average quality of the institutions is able to increase the average GDP per capita around 20 percent. This means that each point of increase in the quality of the municipality institutions is able to increase the municipality GDP per capita by R$1,000 (around US$600).

This is an important research that sheds light to the importance of institutional quality at local level and its influence over growth in a developing country.

This study attempts to assess the role that institutional quality (IQ) plays in influencing inflows and outflows of Foreign Direct Investment (FDI) for BRICS nations as burgeoning FDI is flowing into and out of these countries. Moreover, this paper explores the impact of individual governance indicators separately on the FDI flows.

The study analyses this nexus for these emerging economies for the period 1996–2019 using autoregressive distributed lag technique.

The study indicates a significant and positive coefficient for IQ in India and South Africa, suggesting that improving IQ would enhance the IFDI. However, for outward FDI (OFDI)–IQ linkage, the results show a negatively significant impact of IQ on OFDI for Brazil and Russia. Additionally, the authors observe control of corruption as a significant institutional component for attracting inward FDI for Brazil, India and South Africa, whereas it is an insignificant factor for Russia and China. Further, the authors notably find that upgrading the governance indicators will decrease the level of OFDI for Brazil, Russia, China and South Africa. On the contrary, findings suggest that improving the IQ will foster the OFDI for India.

This study uses time-series analysis instead of cross-country analysis (used extensively in literature), avoiding heterogeneity. Further, this study explores the IFDI–IQ link for BRICS nations, which are captivating a significant chunk of IFDI, and still not given much attention in the extant literature. Moreover, the authors identify the impact of IQ on the OFDI, neglected by the existing studies.