Yes its true primary research is more expensive tha secondary market research
Assume that the market for corn is perfectly competitive. Currently, firms growing corn are generating losses. In the long run, we can expect "some firms to exit causing the market price of corn to rise.".
<h3>What is perfectly competitive market?</h3>
According to economic theory, perfect competition exists when all businesses sell the same goods, market share has no bearing on prices, businesses can enter or quit the market without any obstacles, consumers have perfect or complete information, and businesses are unable to set prices.
There are five characteristics that have to exist in order for a market to be considered perfectly competitive. The characteristics are -
- homogenous items,
- no entry or exit obstacles,
- price taker sellers,
- transparent products, and
- no seller has any control over market prices.
The three key components of perfect competition are as follows:
- There are a lot of buyers and sellers in the market.
- These buyers and sellers are in competition with one another.
- The good being offered or purchased is uniform.
- Companies are free to enter or leave the market.
To know more about; Why is perfect competition the best form of market structure?, here
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Answer:
The correct answer is b. substitutes, complements.
Explanation:
One argument for the growing income gap between the unskilled and skilled workers in America is that unskilled workers are <u>substitute</u>s with technology and skilled are <u>complements</u> with technology.
Answer:
d. offer lower prices for customers and lead to greater customer satisfaction
Explanation:
Supply chain analytics programs have many objectives that, if realized, would offer lower prices for customers and lead to greater customer satisfaction.
Supply Chain Analytics can be defined as the use of data-driven intelligence in improving operational efficiency and effectiveness to reduce customer service cost and increase customer service experience.
Therefore through the use of predictive modelling, businesses are able to understand the pattern of customer transactions which aids them in reducing transaction costs and improving their satisfaction.
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