It will help organize the flow of ideas
Answer:
Which action best reflects the influence of John Maynard Keynes?
B. A government gives jobs to workers during an economic recession.
Explanation:
John Maynard Keynes was a The British economist who strongly and vehemently advocated for "increased government expenditures, lower taxes, government offering full employment, and government intervention in economic activities" in order to stimulate demand, pull the economy out of recession, and kickstart it from slump. He is known as the father of Keynesian Economics.
Answer: The correct answer is the first statement.
Explanation: Marginal revenue product measures the amount by wich the extra production of one more worker increases a firm's total revenue.
<u>It is an economic term used to describe the change in total income that results from a unit change of one type of input variable. There are many types of input variables that you can change, such as adding an employee or a new machine.</u>
The correct answers to these open questions are the following.
Maple Farms, Inc. v. City School District of Elmira.
Could something like this bankrupt a company?
Yes, it can, if the proper forecast were not done taking into consideration all of the possible variables at medium and long-range.
Do you agree with the decision?
It was a tough decision because the court declared in its decision that the performance was not impracticable, as Maple Farm Inc indicated when decided to break the contract.
In strict theory, I agree with the court's decision because the explanation was that an "impractical" occurred when an event happened totally unexpected. And in this case, Mapple Farm Inc could have taken extra provisions knowing that milk had a 10% increase the last year and had the chance of more increases in the present year.
That is how a company can avoid this type of situation. Taking better provisions, contemplating all kinds of variables, knowing that in the future, something unexpected can happen and could be prevented with the proper forecast.
