The condition of the economy is determined by the amount of employment. Using the global unemployment rate as a measure provides incite. Over the past 34 years, there have been fluctuations in unemployment. A number of circumstances cause this. The fall of the Soviet union caused unemployment in Eastern Europe. The global financial crisis in 2008 harmed the labor market and COVID-19 change the nature of employment. The data from over the decades is not precise. While it can be argued it was accurate, the total number of unemployed was higher. The period between 1991 to 2016 does not reflect all people without work. Much of the data used comes from either the World Bank or International Monetary Fund. These institutions have been criticized related to their conduct in regards to Global South nations. Errors can occur in data collection and the way unemployment is measured is subject to change. People who given up seeking work or not trying are excluded from the data. This distorts the statistics of global unemployment. The number is much larger and growing. A trend can be seen with certain events. The next wave of global unemployment will come from automation and artificial intelligence. The effects of the 2020 COVID-19 pandemic caused another mass global unemployment event. The world has not recovered in terms of business security and income. The working class suffers the most, but the middle class will be the next victim. Many skilled jobs are going to be replaced. The middle class could cease to exist with the full integration of automation and artificial intelligence. Data collection must be as precise as possible to help formulate solutions to increases in global unemployment. Otherwise, economic reports from various institutions will not be useful.
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