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Limist of data indicatiors for pupblic administrators - Essay Example

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Limits of Data Indicators for Public Administrators Introduction: We are working in the governmental sector in Abu Dhabi and are concerned about internal security due to political unrest in the region. Hence, we are worried about snowballing effects that may cause turmoil to our political status…
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Limits of Data Indicators for Public Administrators Introduction: We are working in the governmental sector in Abu Dhabi and are concerned about internal security due to political unrest in the region. Hence, we are worried about snowballing effects that may cause turmoil to our political status. An investigation and analysis report is needed to discover the underlying causes of the political unrest. Our initial assumptions were that the fundamentals of the political unrest are corruption in government, the rate of freedom, and levels of unemployment, specifically pertaining to young men.

Transparency International defines corruption as “the abuse of entrusted power for private gain."1 On the other hand, freedom is defined by Freedom House as "the opportunity to act spontaneously in a variety of fields outside the control of the government and/or other centers of potential domination."2 We need to realize that both corruption and freedom have a common factor – government. According to the assumptions of the media, countries with high levels of corruption, low levels of freedom, and high levels of unemployment, specifically among young men, are the main reasons why some countries face political vulnerability and turmoil.

Table 1, located in Appendix I, shows rates of corruption according to CPI investigations and questions, which are based on methodology that measures countries according to two main categories – political rights and civil liberties. Data Perceptions: An interesting line graph forms after studying the data in the Table 1 (located in Appendix I). This line graph shows how close the rates of freedom and unemployment are. More specifically, the graph shows that the country with the highest rate of freedom (least amount of freedom) is Libya (7.0). To compare this with another country, Tunisia has a rate of 6.0. In terms of levels of employment, Libya has a high level of unemployment (30 percent), while Tunisia shows a low level of unemployment (14 percent), which is almost significant when compared to the media's perceptions.

However, the corruption line on the graph only shows a slight increase, while the freedom rate and the unemployment rate fluctuate depending on the specific country. This might be not the case in other MENA countries. Other Influencing Factors: Referring back to Appendix I, Table 2 shows us that the rate of economic distress and underlying vulnerability have a strong correlation, just as the previous chart estimated. Countries in the Middle East and North Africa that display great economic distress are extremely vulnerable to political upheaval.

Another reason for potential political risk may be due to high rates of educated people in the affected countries. Our statistics show that there are also high rates of unemployment in these same countries. From this, we can concur that educated young men are struggling to find work in these countries and are against corruption, demand the right of speech, and insist on having voting rights. This is displayed by the amount of knowledge that these young men have gained by using technology to influence public opinion on these matters.

[Collect the data required regarding education level in MENA] Mysterious Stability: The United Arab Emirates has one of the lowest rates of corruption (6.3) and has low unemployment (2.4), yet is almost considered to be listed under the category of Not Free countries (5.5). Hence, stability has nothing to do with the rate of freedom. On the other hand, corruption is playing a vital role in political stability in the U.A.E. Result of Analysis: As the tables and graphs show below, some countries are influenced by levels of corruption, unemployment, and freedom, such as Libya at 2.

2, 30 percent, and 7.0 respectively. Conversely, other countries are influenced only by the rates of unemployment and corruption, such as Yemen at 35 percent and 2.2 respectively. In comparison, Qatar is considered to be the least corrupt country in the region (7.7) and has the lowest rate of unemployment (0.5). In this case, almost everybody is employed and this seems to be the next focus of political unrest according to the recent acquisition of bribery issues as revealed by the media. Appendix I Table 1 Countries CPI/Freedom/unemployment rate COUNTRY / TERRITORY CPI 2010 SCORE Unemployment rate Freedom Rate Iraq 1.5 15.3 5.5 Iran 2.2 14.6 6.0 Libya 2.2 30 7.0 Yemen 2.2 35 5.5 Lebanon 2.5 4.0 Syria 2.5 8.3 6.

5 Algeria 2.9 9.9 5.5 Egypt 3.1 9.7 5.5 Djibouti 3.2 59 5.0 Morocco 3.4 9.8 4.5 Tunisia 4.3 14 6.0 Kuwait 4.5 2.2 4.0 Jordan 4.7 13.4 5.5 Saudi Arabia 4.7 10.8 6.5 Bahrain 4.9 15 5.5 Oman 5.3 15 5.5 Israel 6.1 6.4 1.5 United Arab Emirates 6.3 2.4 5.5 Qatar 7.7 0.5 5.5 Country Underlying vulnerability Economic distress Index score Sudan 7.9 8 8 Iraq 8.8 7 7.9 Lebanon 7.1 7 7 Algeria 6.3 7 6.6 Iran 5.4 7 6.2 Yemen 6.3 6 6.1 Saudi Arabia 4.2 8 6.1 Syria 4.6 7 5.8 Morocco 6.3 5 5.6 Bahrain 5 6 5.5 Israel 5 6 5.

5 Kuwait 5 6 5.5 Egypt 3.8 7 5.4 Jordan 3.8 7 5.4 Tunisia 4.2 5 4.6 Libya 4.6 4 4.3 Qatar 4.2 4 4.1 United Arab Emirates 4.2 4 4.1 Oman 3.8 4 3.9

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