Compare and evaluate multiculturalism and assimilation as alternative Essay

Compare and evaluate multiculturalism and assimilation as alternative approaches to dealing with immigrant populations. Use evid - Essay Example The rate of immigration has doubled in the last five decades alone, accounting for the greater proportion of workers in the industrialized nations of the world (Shah, 2008, para. 4). The estimated number of international immigrants represented about three percent of the global total population. Many of these immigrants either came from Asia or Africa, and most of them are undocumented migrant workers using illegal means or channels to gain entry. Half of all immigrants are women; other than the reasons cited earlier, immigrants also choose to leave their own countries due to ethnic persecution (if they belong to a minority), avoidance of military or armed conflicts, and political harassment. A new reason recently cited as driver for increases in immigration is increased globalization, in which their original home countries suffered from open trade policies, making them losers due to greater economic inequality (ibid. para. 8). Some people also immigrate for better educational opportu nities while others do so for a good retirement place in another country, such as a warmer climate and lower costs of living. An improvement in transportation technologies, cheaper travel rates, and shorter travel times have in many ways also contributed to the heightened phenomenon of global immigration today. Discussion The United Nations considers international migration as one of the basic human rights, and the sacred right to freedom of travel and movement is included in its Universal Declaration of Human Rights. Relatedly, basic human rights apply to everybody, whether as an immigrant or not; the U. N. agency charged with carrying out this mandate is the United Nations Educational, Scientific, and Cultural Organization (or UNESCO) to encourage all member states to respect all rights of immigrants at par or level with that of its own native citizens (Ban, 2007, para. 1) and to promote the speedy, orderly, and peaceful integration of migrants to society in general. It is quite i ronic how many Western countries had previously urged Russia and China, in the past decades, to allow their citizens to move freely and migrate if they want to go, but now these Western countries are reluctant to accept more migrants and put up hindrances, controls, or new laws to limit immigration. Admittedly, there are benefits to free immigration such as lower labor costs that help the host country, contribute to cultural diversity of society, enhance mutual understanding, alleviate labor shortages, and increase the talent pool of the nation (Fassi, 2011). Moreover, countries with declining populations also benefit from new people. But on the other hand, some people resist immigrants because of competition for scarce jobs, cultural adulteration or influences, social adjustments, increased demands on social services like health care, policing, sanitation, food, housing, educational facilities, welfare and pension benefits, among others (Sterba 2009). In some European countries, a new element of the drawbacks of immigration has been added, that of cultural conflicts, social intolerance, and religious extremism. Some immigrants resist integration, and prefer ethnic segregation. Precisely due to these existing and other incipient problems related to new immigrants, various countries have tried several approaches towards achieving faster

Quantitative Decision Making Research Paper Example | Topics and Well Written Essays - 1000 words

Quantitative Decision Making - Research Paper Example - the independent and dependent variables can be determined incorrectly (in this case it is hard to determine whether change in export production of passenger cars influences export production of commercial vehicles or vice versa); - the perceived relationship may be a result of simultaneous influence of the third (moderator) variable on both of the variables separately (for example, correlation between export production numbers of passenger cars and commercial vehicles can be explained by the influence of the increase/decrease of the exchange rate on exports of the automotive industry in general). It may be true in this case, as the suggested regression model explains only 22.2% of variance (R-Squared value is indicated in the table below). Thus, if the export production number of passenger cars increases by 10,000 the export production number of commercial vehicles will go up by 572 (0.0572 coefficient). The constant 13,002 can be considered rather an anchor point for the regression line and should not be taken as the value of JCYF when JCYL is equal to 0 due to the fact that the data set available contains no observation with JCYF equals to or is close to 0. To project the export production number of passenger cars (... - the perceived relationship may be a result of simultaneous influence of the third (moderator) variable on both of the variables separately (for example, correlation between export production numbers of passenger cars and commercial vehicles can be explained by the influence of the increase/decrease of the exchange rate on exports of the automotive industry in general). It may be true in this case, as the suggested regression model explains only 22.2% of variance (R-Squared value is indicated in the table below). Linear regression equation JCYF = 13002 + 0.0572 x JCYL (coefficients indicated in the table): Multiple R-Square Adjusted StErr of Summary R R-Square Estimate 0.4708 0.2217 0.1730 4184.251262 Degrees of Sum of Mean of F-Ratio p-Value ANOVA Table Freedom Squares Squares Explained 1 79773016.56 79773016.56 4.5564 0.0486 Unexplained 16 280127337.9 17507958.62 Coefficient Standard t-Value p-Value Lower Upper Regression Table Error Limit Limit Constant 13002.19876 7187.903864 1.8089 0.0893 -2235.476735 28239.87425 JCYL 0.05720163 0.026797739 2.1346 0.0486 0.000392961 0.1140103 Thus, if the export production number of passenger cars increases by 10,000 the export production number of commercial vehicles will go up by 572 (0.0572 coefficient). The constant 13,002 can be considered rather an anchor point for the regression line and should not be taken as the value of JCYF when JCYL is equal to 0 due to the fact that the data set available contains no observation with JCYF equals to or is close to 0. To project the export production number of passenger cars (JCYL), given export of commercial vehicles (JCYF), the JCYF value should simply be plugged into the regression line equation. The point of estimate number would be