Answer:
Real GDP is not the direct indication of happiness, because happiness is dependent on a number of other factors, which when combined can result in a happy life.
Explanation:
Real GDP is defined as the measure of the value of the output of the economy, in the macroeconomics, which reflects the money value of all goods and services produced in a given year. Here the output of the economy is also adjusted for the changes in prices occurring in the year.
According the referred application 3 of the book, it is true that the people of United States have become less happy despite the real GDP rise over the last 30 years. This is because the growth of real GDP is not able to cope up simultaneously with the increased workplace stress, jeopardized married life, traffic congestion, health problems and deterioration of environment.
In conclusion, it can be stated that Money does play an important role in increasing the happiness. However the factor alone is not able to cope up with all the problems and this is true only when all the other factors such as a conducive working environment, happy married life, healthy life are also accompanying more money.
Answer:
452592.56
Explanation:
10000(1.1)^40=452592.555682
Answer:
The <u>eclectic paradigm</u> argues that combining location specific assets or resource endowments and the firm's own unique assets often requires FDI.
Answer: Fixed-position layouts
Explanation: Fixed-position layouts are employed to assemble large, bulky, or fragile products to safely and effectively transferred them to a particular site for completion. E.g Assembling of an airplane. furthermore, personnel, supplies, and equipment are brought to the location where the product will be assembled. In involves ensuring that all the right people, equipment, and materials arrive on time and this is a challenging tasks when using fixed-position layouts.
Answer:
a) 120 skiers per day
b) 6.25% increase in revenue
Explanation:
a) If the average skier stays 10 days, the average turnover is 1/10 of the skiers per day, or 1200/10 = 120 skiers per day.
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b) For a stay of n days, the average skier spends ...
50 +(n-1)30 = 20 +30n
and the average spending per day is ...
(20 +30n)/n = (20/n) +30
So, for a 10-day stay, the average skier spends in restaurants ...
20/10 +30 = 32 . . . . per day
And for a 5-day stay, the average skier will spend ...
20/5 +30 = 34 . . . . per day
The change in restaurant revenue is expected to be ...
(34 -32)/32 × 100% = 2/32 × 100% = 6.25%
Restaurant revenues will be 6.25% higher compared to last year.