scholarly journals Wealth Code Unlocked: The Combined Effect of Emotional Intelligence and Intelligence Quotient

2021 ◽  
Author(s):  
Azad A. Kabir ◽  
Raeed A. Kabir ◽  
Jebun Nahar ◽  
Ritesh Sengar
Keyword(s):  
Intelligence Quotient ◽  
Good Governance ◽  
National Income ◽  
Emotional Awareness ◽  
Multivariate Model ◽  
Gross National Income ◽  
Corruption Perception Index ◽  
Average Intelligence ◽  
Corruption Perception ◽  
Per Capita

Background: Intelligence quotient (IQ) is a measure of intellectual ability of performing, comprehension, and learning. Previous studies reported that intelligence measures predict various measures of job performance and income. Emotional awareness (EA) is the measure of emotional capacity to recognize and make sense of one’s emotions, as well as those of others. A high level of emotional awareness (EA) indicates one can learn from expressed emotions quickly. Both IQ and EA are important for personal and professional success. Objective: This study tests the hypothesis that the average national income rank is best predicted by the combined effect of the population's average intelligence quotient (one's ability to perform and learn) and emotional awareness (ability to recognize and make sense of emotions). Method: The population’s average intelligence quotient (IQ), emotional awareness (EA), and indices of good governance, which include corruption perception index and educational expenses for each country, were obtained from public data sources. The outcome variable was per capita gross national income. All the variables that are statistically significant in univariate analysis were included in the multivariate regression analyses but excluded from the final model if not statistically significant. Result: The total number of countries included in the final analysis was 81 because of missing values in different variables. Intelligence quotient (IQ) and emotional awareness (EA) were found to be highly correlated, at 0.77 and 0.32 respectively, with the per capita gross national income. The independent effects of intelligence quotient (IQ) and emotional awareness (EA) were found significant in the multivariate model after adjusting for measures of good governance. The R square value for the final multivariate model was 0.82. The corruption perception index (CPI) and educational expenses were strongly correlated with other measures of good governance such as democracy index, functioning of government, electoral process and pluralism, political participation, and civil liberty, but these variables were found not significant in the multivariate model. Conclusion: The study concludes the effect of intelligence quotient (IQ) and emotional awareness (EA) are complementary to each other but intelligence quotient (IQ) is a stronger predictor than emotional awareness (EA) for gross national income or wealth. We also find that indicators of good governance, including corruption perception index and educational expenses, have important associations with per capita gross national income. This study implies a nation may build more wealth if the educational system focuses on developing emotional awareness in addition to intelligence.

scholarly journals Kabir Wealth Code: The combined effect of emotional awareness (EA) and intelligence quotient (IQ)

2021 ◽  
Author(s):  
Azad A. Kabir ◽  
Raeed A. Kabir ◽  
Jebun Nahar ◽  
Ritesh Sengar
Keyword(s):  
Intelligence Quotient ◽  
Good Governance ◽  
National Income ◽  
Emotional Awareness ◽  
Multivariate Model ◽  
Gross National Income ◽  
Corruption Perception Index ◽  
Average Intelligence ◽  
Corruption Perception ◽  
Per Capita

Background: Intelligence quotient (IQ) is a measure of intellectual ability of performing, comprehension, and learning. Previous studies reported that intelligence measures predict various measures of job performance and income. Emotional awareness (EA) is the measure of emotional capacity to recognize and make sense of one’s emotions, as well as those of others. A high level of emotional awareness (EA) indicates one can learn from expressed emotions quickly. Both IQ and EA are important for personal and professional success.Objective: This study tests the hypothesis that the average national income rank is best predicted by the combined effect of the population's average intelligence quotient (one's ability to perform and learn) and emotional awareness (ability to recognize and make sense of emotions).Method: The population’s average intelligence quotient (IQ), emotional awareness (EA), and indices of good governance, which include corruption perception index and educational expenses for each country, were obtained from public data sources. The outcome variable was per capita gross national income. All the variables that are statistically significant in univariate analysis were included in the multivariate regression analyses but excluded from the final model if not statistically significant.Result: The total number of countries included in the final analysis was 81 because of missing values in different variables. Intelligence quotient (IQ) and emotional awareness (EA) were found to be highly correlated, at 0.77 and 0.32 respectively, with the per capita gross national income. The independent effects of intelligence quotient (IQ) and emotional awareness (EA) were found significant in the multivariate model after adjusting for measures of good governance. The R square value for the final multivariate model was 0.82. The corruption perception index (CPI) and educational expenses were strongly correlated with other measures of good governance such as democracy index, functioning of government, electoral process and pluralism, political participation, and civil liberty, but these variables were found not significant in the multivariate model. Conclusion: The study concludes the effect of intelligence quotient (IQ) and emotional awareness (EA) are complementary to each other but intelligence quotient (IQ) is a stronger predictor than emotional awareness (EA) for gross national income or wealth. We also find that indicators of good governance, including corruption perception index and educational expenses, have important associations with per capita gross national income. This study implies a nation may build more wealth if the educational system focuses on developing emotional awareness in addition to intelligence. The study concludes the effect of intelligence quotient (IQ) and emotional awareness (EA) are complementary to each other but intelligence quotient (IQ) is a stronger predictor than emotional awareness (EA) for gross national income or wealth. We also find that indicators of good governance, including corruption perception index and educational expenses, have important associations with per capita gross national income. This study implies a nation may build more wealth if the educational system focuses on developing emotional awareness in addition to intelligence.

scholarly journals Wealth Code Unlocked: The Combined Effect of Emotional Intelligence and Intelligence Quotient

2021 ◽  
Author(s):  
Raeed A Kabir ◽  
Jebun Nahar ◽  
Ritesh Sengar ◽  
Azad Kabir Kabir
Keyword(s):  
Emotional Intelligence ◽  
Interpersonal Relationships ◽  
Interaction Effect ◽  
Intelligence Quotient ◽  
Good Governance ◽  
National Income ◽  
Final Model ◽  
Corruption Perception Index ◽  
Average Intelligence ◽  
Corruption Perception

Intellectual quotient (IQ) is a measure of intellectual “ability” of performing, comprehension, and learning. Previous study reported that intelligence measures predict various measures of job performance and income. Emotional intelligence (EI) is the capacity of awareness, controlling and expression of one's emotions, seeking more feedback, and managing one's emotion to handle interpersonal relationships judiciously and empathically. These characteristics are also important for personal and professional success. Objective: This study tests a hypothesis whether the average national income rank is best predicted by the combined effect of the population's average intelligence quotient (one's ability to perform and learn) and emotional intelligence (emotional ability to express and handle interpersonal relationships). Method: The population average intelligence quotient, emotional intelligence, and indices of good governance, which include corruption perception index and educational expenses for each country were obtained from public data sources. The outcome variable for this study was the average national income rank. All the variables that are significant in univariate analysis were included in the multivariate regression analyses but excluded from the final model if not significant. Result: The total number of countries included in the final analysis was 81 because of missing values in different variables. The product of intelligent quotient (IQ) scores and emotional intelligence (EI) were found highly correlated at -0.75 ( p <0.05) with the national average income rank. The independent effect of intelligence quotient (IQ) and emotional intelligence (EI) was found not significant when their interaction effect (the product of IQ and EI) was introduced in the model. The R square value for the multivariate model with the interaction effect of intelligence quotient (IQ) and emotional intelligence (EI) was the highest at 0.73. The final model also included measures of good governance such as educational expense and corruption perception index (CPI). The corruption perception index (CPI) and educational expense were strongly correlated with measurements of good governance such as democracy index, functioning of government, electoral process and pluralism, political participation, and civil liberty, but these variables were found not significant in the multivariable model. Conclusion: The study concludes the effect of emotional intelligence and intelligence quotient are complementary to each other and holds the key to predicting average national income or wealth rank. This study also implies a nation may build more wealth if educational institutes focus on developing emotional intelligence (EI) and intelligence quotient (IQ).

scholarly journals Η σχέση μεταξύ αντιλαμβανόμενης διαφθοράς, γραφειοκρατίας, εισοδήματος και οικονομικής ανάπτυξης

2011 ◽  
Author(s):  
Παναγιώτα Παπακωνσταντίνου
Keyword(s):  
National Income ◽  
Gross National Income ◽  
Corruption Perception Index ◽  
Corruption Perception ◽  
Per Capita

O σκοπός της έρευνάς μας ήταν η διερεύνηση της επίδρασης της διαφθοράς σε ορισμένες μακροοικονομικές μεταβλητές. Συγκεκριμένα θέλαμε να εξετάσουμε τις σχέσεις μεταξύ διαφθοράς και επιπέδου εισοδήματος, βάσει της κατάταξης της παγκόσμιας τράπεζας (ΕΗ1), διαφθοράς και ρυθμού οικονομικής μεγέθυνσης (ΕΗ2), διαφθοράς και γραφειοκρατίας (ΕΗ3), διαφθοράς και φορολογικών εσόδων (EH4), και τέλος διαφθοράς και επιπέδου στρατιωτικών δαπανών (EH5). Οι ερευνητικές υποθέσεις ΕΗ1 και ΕΗ4 διερευνώνται στο πλαίσιο μιας περιγραφικής ανάλυσης, καθώς ο στόχος σε τέτοιου είδους αναλύσεις είναι η διαπίστωση της ύπαρξης κάποιου προτύπου στην συμμεταβολή των δύο μεταβλητών, ενώ η ΕΗ2 διερευνάται στο πλαίσιο μιας αιτιολογικής ανάλυσης, καθώς αποσκοπεί στην μέτρηση κάποιας αιτιώδους σχέσης μεταξύ δύο μεταβλητών. Για την διερεύνηση των παραπάνω ερευνητικών υποθέσεων επιλέξαμε ένα δείγμα 180 χωρών, για τις οποίες υπήρχαν στοιχεία αναφορικά με την τιμή του δείκτη αντιλαμβανόμενης διαφθοράς (Corruption Perception Index, CPI) για το 2008. Οι χώρες αυτές, σύμφωνα με την κατάταξη που χρησιμοποιεί η Παγκόσμια Τράπεζα (για οικονομίες με πληθυσμό μεγαλύτερο των 30.000 ατόμων), ανήκουν σε μια από τις ακόλουθες τέσσερεις κατηγορίες βάσει του κατά κεφαλήν Ακαθάριστου Εθνικού Εισοδήματος (gross national income (GNI) per capita) το 2009: • Χώρες Χαμηλού Εισοδήματος: Χώρες με κατά κεφαλήν Ακαθάριστο Εθνικό Εισόδημα μικρότερο από 995$. • Χώρες Κατωτέρου-Μέσου Εισοδήματος: Χώρες με κατά κεφαλήν Ακαθάριστο Εθνικό Εισόδημα μεταξύ 996$ και 3.945$. • Χώρες Ανωτέρου-Μέσου Εισοδήματος: Χώρες με κατά κεφαλήν Ακαθάριστο Εθνικό Εισόδημα μεταξύ 3.946$ και 12.195$. • Χώρες Υψηλού Εισοδήματος: Χώρες με κατά κεφαλήν Ακαθάριστο Εθνικό Εισόδημα μεγαλύτερο από 12.196$.

Analysis Good Governance of Corruption Eradication toward Penta Helix Model in Indonesia

2020 ◽  
Vol 3 ◽  
pp. 14-28
Author(s):  
Aris Sarjito ◽  
Ghazalie
Keyword(s):  
Research Method ◽  
Annual Report ◽  
Good Governance ◽  
Positive Influence ◽  
Business Community ◽  
Upward Trend ◽  
Corruption Perception Index ◽  
Transparency International ◽  
Survey Results ◽  
Corruption Perception

Transparency International released an annual report on the corruption perception index in 2018. The survey results of 180 countries showed a bad score because more than two-thirds scored less than 50. The highest score is 100, which means very clean or free of corruption, and the lowest is zero which means it is very corrupt. Indonesia must learn from New Zealand and Australia who have succeeded in helping improve the corruption perception index in their country, even though Indonesia's corruption perception index experienced an upward trend in 2014-2018. In an effort to analyze Good Governance in eradicating corruption in Indonesia, the researchers applied the Penta Helix Model, better known as the ABCGM concept, namely Academicians, Business, Community, Government, and Media to reduce the level of corruption in Indonesia. This research method is qualitative to investigate, find, describe, and explain the quality or features of social influences that cannot be explained, measured or described through a quantitative approach. The Penta Helix model is considered to have a positive influence in eradicating corruption.

scholarly journals Determinant of The Poverty in The Moslem Countries: Ibn Khaldun Development Model

2016 ◽  
Vol 5 (1) ◽  
pp. 15-30
Author(s):  
Dian Paisal Putra ◽  
Indra Indra
Keyword(s):  
Gini Index ◽  
Control Variable ◽  
Development Model ◽  
Gdp Per Capita ◽  
Education Expenditure ◽  
Role Of Government ◽  
Corruption Perception Index ◽  
Ibn Khaldun ◽  
Corruption Perception ◽  
Per Capita

This current paper examined the determinant of the poverty in the OIC countries. Our empirical model was based on Ibn Khaldun development model that emphasizes several aspects, namely: the country's wealth (proxied by GDP per capita), the role of government (proxied by health and education expenditures), human resources (proxied by HDI), sharia (proxied by corruption perception index), development (proxied by investment), and justice (proxied by Gini index). We used panel data model consisting nine OIC countries over 2003-2012. This study verified that GDP per capita significantly contribute to the reduction of poverty in the OIC countries. We also found that unemployment (as a control variable) encountered a role in triggering poverty in OIC countries. Meanwhile, it found that education expenditure, Gini index, HDI, and Corruption Perception Index found no significant effect on poverty. DOI:  10.15408/sjie.v5i1.3130 

scholarly journals Fertility and socio-economic determinants: evidence from co-integration and multivariate Granger casualty tests

2016 ◽  
Vol 4 (1) ◽  
pp. 134
Author(s):  
Prakash Kengnal ◽  
Asha Bullappa
Keyword(s):  
Labour Force ◽  
National Income ◽  
Participation Rate ◽  
Labour Force Participation ◽  
Fertility Rate ◽  
Gross National Income ◽  
Female Labour Force Participation ◽  
Labour Force Participation Rate ◽  
Female Labour ◽  
Per Capita

Background: The empirical work on fertility determinants widely discusses the role of socio-economic factors like female labour force participation rate, urban population and per capita gross national income in determining fertility rates. The India’s high fertility rate began to decline gradually after late 1950s and continued to fall since then. India achieved almost 31 per cent decline in fertility rate from 1990 to 2012. The objective was to examine the relationship between fertility rate, urbanization, female labour force participation rate and per capita gross national income for India.Methods: This study covers the sample period from 1990-2012. Moreover, the direction of causality between fertility rate, urbanization, female labour force participation rate and per capita gross national income in India using Granger Causality test within the Vector Error-Correction Model (VECM) are examined.Results: As a summary of the empirical results, we found that fertility rate, urbanization, female labour force participation rate and per capita gross national income in India are co-integrated and there is unidirectional Granger Causality between the four variables in long and short-run.Conclusions: The growth in urban population, female labour force participation rate and per capita gross national income are responsible for the decrease in fertility rate in India.

Infrastructural Drivers of Online Shopping

2021 ◽  
pp. 109-121
Author(s):  
Syed Akhter
Keyword(s):  
Privacy Protection ◽  
Credit Card ◽  
Online Shopping ◽  
Developing Economies ◽  
National Income ◽  
Gross National Income ◽  
Online Purchases ◽  
Per Capita ◽  
Internet Penetration ◽  
Conceptual Foundations

While online shopping expenditures have been increasing in both developed and developing economies, they still account for a small share of total retail sales. Significant differences also exist across countries in the amount of money consumers spend on a per capita basis on online purchases. The authors utilize the conceptual foundations of infrastructural framework to examine the effects of infrastructural drivers on online shopping expenditures in 43 countries. Findings show that per capita telecommunications investments and per capita gross national income are significantly associated with per capita online shopping expenditures. Privacy protection, Internet penetration, and credit card penetration were not significant.

scholarly journals Gravity-type model of Czech agricultural export

2012 ◽  
Vol 48 (No. 10) ◽  
pp. 463-466 ◽  
Author(s):  
M. Ševela
Keyword(s):  
Gross National Product ◽  
National Income ◽  
Gross National Income ◽  
National Product ◽  
Type Model ◽  
Geographical Distance ◽  
Commodity Group ◽  
Agricultural Export ◽  
Export Volume ◽  
Per Capita

The article concentrates on the application of gravity-type model to explain the volume of agro-exports from the Czech Republic. The multiplicative exponential function of the appropriate explanatory variables is used to describe the bilateral trade flows. Gross national product, gross national product per capita and geographical distance between the capitals of economies proved statistically significant. From regression analysis of the transformed data, there is apparent the positive correlation between the export volume of the commodity group 0 – Food and live animals SITC, rev.3 and gross national income. On the contrary, the negative correlation is between the agro-export volume and gross national income per capita and geographical distance as well. The built model is significant at the 5% level and explains more than 75% of dependent variable variance.

Eligibility to Use the Fund's Facilities for Concessinal Financing

Policy Papers ◽  
2013 ◽  
Vol 2013 (20) ◽  
Author(s):  
Keyword(s):  
Poverty Reduction ◽  
Market Access ◽  
National Income ◽  
Gross National Income ◽  
Small States ◽  
Executive Directors ◽  
Short Term ◽  
Small Countries ◽  
Per Capita ◽  
One Year

During the 2012 Review of Poverty Reduction and Growth Trust (PRGT) Eligibility, Executive Directors expressed a number of concerns about the eligibility framework. The Board decided to bring forward the next review of eligibility by one year, to early 2013, in light of these concerns. In particular, Directors called for the review to assess: Possible shortcomings of the gross national income (GNI) per capita criterion in the case of small states, and whether additional or alternative variables should be used to better capture members‘ circumstances, particularly those of small states; as well as further options to enhance the flexibility of the PRGT-eligibility framework to cover small and very small countries; The application of the short-term vulnerabilities criterion for graduation, which can lead to repeated non-graduation of members that meet either the income or the market access criteria for graduation.

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