Коррупция и государство в Сахеле

Начиная с 2000 гг. новые инструменты оценки борьбы с коррупцией создают нелестный образ госу-дарств Сахеля. Согласно наиболее известному из них – Списку стран по восприятию коррупции (Corruption Perception Index, CPI), составляемому международной неправительственной организацией Transparency International, в 2016 г. практически все страны региона попали в группу государств с эндемической коррупцией. Однако восприятие коррупции внутри группы варьирует: Сенегал и Буркина Фасо считаются менее коррумпированными, чем Мали и Нигер, которые, в свою очередь, вы-глядят лучше Мавритании и особенно Чада, входящего в список 20 наиболее коррумпированных стран мира – вместе с Бурунди, Гаити, Центральноафриканской Республикой и Демократической Республи-кой Конго. Однако эти чисто количественные и вырванные из контекста измерения проливают мало света на социальное и культурное обрамление повседневной коррупции. Настоящая статья опирается на качественные эмпирические полевые исследования, ведущиеся автором в Нигере, Сенегале и Мавритании. Starting in the early 2000s, new means of measurement produced by the international anticorruption indus-try cast a rather unflattering light on the Sahelian countries, stigmatizing them for their lack of public integ-rity. In 2016 the best known of these tools, Transparency International’s “Corruption Perception Index” ranked all Sahelian countries, excepting (barely) Senegal, as states with systemic corruption (a score lower than 43). Perceptions vary from country to country: Senegal and Burkina Faso are reputedly less corrupt than Mali and Niger; these two are, in turn, more virtuous than Mauritania, and even more so than Chad. These approaches, purely quantitative and decontextualized, shed little light on how corruption is socially and culturally embedded in everyday life. In contrast, this article is based on qualitative empirical studies and on the author’s own research in Niger, Senegal, and Mauritania.

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

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.

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

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.

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

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).

Recasting Governance for Challenging Times

For the better part of the last twenty years, a multitude of international conventions, principles, standards have been agreed to strengthen governance and reduce corruption. These have led to a plethora of statements, institutions and regulations, experiments - each with their own valid inner logic. However, if we look for tangible, on-the-ground results, we are in for a big surprise, or rather disappointment. Taken together, the outcomes that have been reported (such as new control and tracking vehicles, anti-corruption legislation, and the like) have been at best intermediate, rather than final results to be sought. Moreover, they have bee difficult to upscale and easy to circumvent by agents that have a dynamism, adaptability and imagination that is difficult to match by the entities and vehicles that have been created to control corruption and facilitate accountability. As a result, impact on the ground remained at best imperceptible in “moving the needle” to achieve tangible progress. It has now been 10 years that some 70 percent of countries worldwide scored poorly (below 50, in a scale of 0 to 100) in Transparency International’s Corruption Perception Index — with no improvements of significance throughout this period. Growing signs of public discontent strongly suggest a widening gulf between elites and civil societies, and a consequent inability to respond to emerging societal demands. By now, it should be painfully evident that the time has come to take a dispassionately critical review of the approaches taken to date, and see how they need to be recast to respond to the evolving conditions around the world. This article is aimed at contributing to such review and help rethink, where necessary to recast such approaches to generate effective responses for the remainder of the century.

Political Myth of ‘Shonar Bangla’ and Rising Frustration in Bangladesh

The “Shonar Bangla” (Golden Bangla) political myth met some important historical needs during the time of the nationalistic movements in Bangladesh. However, it is likely to have created excessive expectations in regards to the managerial capability of the nationalists who successfully spearheaded the movements. Following independence in 1971, these nationalists could not translate even a tiny fraction of the myth into reality. Their dire failure in this regard might have produced a feeling of excessive frustration among Bangladeshis and as such, it may have adversely impacted the socioeconomic and political conditions in Bangladesh. By comparing some relevant data of Bangladesh and some of its peer countries (Malaysia, Indonesia, Thailand and Turkey (MITT)), this study finds that the corruption perception index of the preceding year significantly and positively influences the current frustration level in Bangladesh. Despite some limitations of the data set, the findings are intuitively acceptable and instructive for all concerned.