Using the annual data for the period of 2000 and 2010, Prof Omanya applied a Cobb -Douglas production function to estimate the production for the Kenya's manufacturing sector using firms listed on Nairobi Securities Exchange. His results were given as: Q= K0.45 L0.55 Where Q = units of output; L = units of Labor; and K = units of capital What are the marginal products of Labor and Capital? Calculate the factor intensity and explain the technique of production that is being used by Prof Omanya How would you characterize the Kenya's manufacturing sector in terms of returns to scale? What are the main three causes of such returns to scale?

Using the annual data for the period of 2000 and 2010, Prof Omanya applied a Cobb -Douglas production function to estimate the production for the Kenya's manufacturing sector using firms listed on Nairobi Securities Exchange. His results were given as: Q= K0.45 L0.55 Where Q = units of output; L = units of Labor; and K = units of capital What are the marginal products of Labor and Capital? Calculate the factor intensity and explain the technique of production that is being used by Prof Omanya How would you characterize the Kenya's manufacturing sector in terms of returns to scale? What are the main three causes of such returns to scale?

Managerial Economics: Applications, Strategies and Tactics (MindTap Course List)

14th Edition

ISBN:9781305506381

Author:James R. McGuigan, R. Charles Moyer, Frederick H.deB. Harris

Publisher:James R. McGuigan, R. Charles Moyer, Frederick H.deB. Harris

Chapter7: Production Economics

Section: Chapter Questions

Problem 10E

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Using the annual data for the period of 2000 and 2010, Prof Omanya applied a Cobb -Douglas production function to estimate the production for the Kenya's manufacturing sector using firms listed on Nairobi Securities Exchange. His results were given as: Q= K0.45 L0.55 Where Q = units of output; L = units of Labor; and K = units of capital What are the marginal products of Labor and Capital? Calculate the factor intensity and explain the technique of production that is being used by Prof Omanya How would you characterize the Kenya's manufacturing sector in terms of returns to scale? What are the main three causes of such returns to scale?
Alternative Measures of Productivity A common measure of productivity, as explained in thischapter and as used by many business and trade organizations, including the U.S. Bureau of LaborStatistics, is the ratio of output to input, where input is typically measured in units of materials, laborhours, or related measures. An alternative is to use the ratio of capacity available to capacity utilized. For example, the amount of capacity in the U.S. manufacturing industries has almost doubledover the past two decades. However, the rate of capacity utilization (output/capacity available) hasfallen slightly over this period of time, with a steep drop in 2009 followed by slow increases in 2010and 2011. Some would say that this measure gives a better picture of productivity than the one wehave used in the chapter.Required Compare the measure of productivity based on capacity utilization with the measure used inthe chapter. Which measure do you think is most useful for assessing the state of the…
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Confirm that the Cobb-Douglas production function satisfies all the three properties: more is better, concavity, and CRS.
Suppose output (Q) is related to labor (L) and capital (K) in the following nonlinear way: Q = aLbKc When taking log to this equation, it is transformed into a linear LnQ = lna + b ln(L) + c Ln (K) One hundred twenty-three observations are used to obtain the following regression results: Dependant Variable: Q R-square F-ratio p-value on F Observations: 123 0.7547 184.56 0.00001 Variable Parameter Estimate Standard error t-ratio p-value Intercept 5.5215 0.9750 5.66 0.0001 L 0.650 0.2950 2.20 0.0295 K 0.350 0.1450 2.41 0.0173 A. Write the regression equation based on the output either in the transformed linear form or the original non-linear form. B. How do we interpret the coefficient of labor (L)? C. Is it statistical significance at the 1 percent level of significance?
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The hypothesis, (as stated in the title) of E.F. Schumacher’s seminal book Small is Beautiful belongs to the industrial age and has no relevance to our contemporary Web 2.0 world. Is this statement true? Why or why not? add one reference please, between 150-200 words only
The O’Neill Shoe Manufacturing Company will produce a special-style shoe if the ordersize is large enough to provide a reasonable profit. For each special-style order, the company incurs a fixed cost of $2000 for the production setup. The variable cost is $60 per pair, and each pair sells for $80.a. Let x indicate the number of pairs of shoes produced. Develop a mathematical modelfor the total cost of producing x pairs of shoes.b. Let P indicate the total profit. Develop a mathematical model for the total profit realized from an order for x pairs of shoes.c. What is the breakeven point?