The term that best describes the government's policies towards businesses in the late 19th century is laissez-faire
Laissez-faire is a theory that was against government intervention in business activities. It is an economic theory that was used during the 18th century and it was against government involvement in business affairs.
<h2>Further Explanation</h2>
Laissez-faire is a French word that means Leave alone. The principle behind this economic theory is that the government shouldn't involve in the economy. This principle believed that government intervention in the economy will affect businesses and would have a negative impact on society.
Laissez-faire is certainly one of the key components of free-market capitalism.
The concept behind the Laissez-faire economic theory was that economic competition is the best way to develop the economy. The principle encouraged natural self-regulation, which was regarded as the best form of regulation.
Laissez-faire economists claimed that government intervention in business would cripple the economy; they believed that government intervention would complicate industries and business affairs.
Laissez-faire economists were against the government in the areas of legislation or oversight; they opposed the minimum wage, trade restrictions, duties, and taxes.
Laissez-faire economists also seen cooperate taxes as a sanction for production.
Therefore, the term that best describes the government's policies towards businesses in the late 19th century is laissez-faire
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KEYWORDS:
- Laissez-faire
- economy
- businesses
- government
- policies
- 19th century
Immediately south of the United States is the continent of South America. Africa also lies mostly south of the United States although in the different hemisphere. The same holds for Australia, it is more southern than the United States but not immediately southern of it.
Answer:
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Answer:
that among these are life, liberty and the pursuit of happiness
Answer:
Cross sectional
Explanation:
In cross sectional studies the data of a population is studied and how one variable varies with another variable at set point in time. The data of the variables is collected in two points in time. How one variable affects the other variables in the other time is studied and the conclusions are drawn.
Here, the Professor has found that satisfaction of home life which was measured at the first time is strongly correlated with satisfaction of the job measured at the second time.
Hence, this is an example of cross sectional correlation.