SlideShare a Scribd company logo
1 of 13
Return to Scale in Electricity Supply
By:
Marc Nerlove (1961)
28/01/2024 1
Contents
1. Introduction
2. Theoretical Development
3. Results and Discussion
4. Conclusion
28/01/2024 2
1. Introduction
 Pioneering work to model the structure of production
in the industry using neoclassical cost function
approach was done by Nerlove in 1961.
 Scale of economies in electricity generation.
 Cobb-Douglas Production Function with three inputs
Capital, Labor and Fuel
Prices of inputs Cant be treated as
exogenous rather they are endogenous
 A research Gap
 Gap Bridging
 Treated as exogenous factor.
28/01/2024 3
2. Theoretical Development
Cobb–Douglas function to model output as a
function of capital, K, labor, L, and fuel, F:
𝑄 = 𝛼0𝐾𝛼𝐾𝐿𝛼𝐿𝐹𝛼𝐹𝑒𝜀𝑖
The economies of scale parameter is;
𝑟 = 𝛼𝐾 + 𝛼𝐿 + 𝛼𝐹
The value 1 indicates constant return to scale
The production model is loglinear
These three factors prices can be treated as
exogenous variables (Research Gap)
28/01/2024 4
2. Theoretical Development
For a firm that optimizes by choosing its factors
of production, the demand for fuel would be;
𝑭∗
= 𝑭∗
𝑸, 𝑷𝑲, 𝑷𝑳, 𝑷𝑭
and likewise for labor and capital.
The firm’s objective of cost minimization
problem was;
𝑴𝒊𝒏 𝑷𝑲𝑲 + 𝑷𝑳𝑳 + 𝑷𝑭𝑭 + 𝝀(𝑸 − 𝜶𝟎𝑲𝜶𝑲𝑳𝜶𝑳𝑭𝜶𝑭)
28/01/2024 5
2. Theoretical Development
Find the optimal cost minimizing bundle of
factor demand , substitute in the cost function
gives
𝑪 𝑸, 𝑷𝑲, 𝑷𝑳, 𝑷𝑭 = 𝒓𝑨𝑸𝟏/𝒓𝑷𝑲
𝜶𝑲/𝒓
𝑷𝑳
𝜶𝑳/𝒓
𝑷𝑭
𝜶𝑭/𝒓
𝒆𝜺𝒊/𝒓
or
𝒍𝒏𝑪 .
= 𝒍𝒏𝒓 + 𝒍𝒏 + (𝟏/𝒓) ∗ 𝒍𝒏𝑸 + (𝜶𝑲/𝒓) ∗ 𝐥𝐧 𝑷𝑲
+ (𝜶𝑳/𝒓) ∗ 𝐥𝐧 𝑷𝑳 + (𝜶𝑭/𝒓) ∗ 𝐥𝐧 𝑷𝑭 + 𝜺𝒊/𝒓
𝒍𝒏𝑪 = 𝜷𝟏 + 𝜷𝒒𝒍𝒏𝑸 + 𝜷𝒌𝒍𝒏𝑷𝑲 + 𝜷𝑳𝒍𝒏𝑷𝑳 + 𝜷𝑭𝒍𝒏𝑷𝑭 + 𝒖𝒊
28/01/2024 6
2. Theoretical Development
𝑙𝑛𝐶∗
= 𝛽1 + 𝛽𝑞𝑙𝑛𝑄 + 𝛽𝐿𝑙𝑛𝑃𝐿
∗
+ 𝛽𝐾𝑙𝑛𝑃𝐾
∗
Where;
𝑙𝑛𝐶∗ = 𝐿𝑛𝐶 − 𝑙𝑛𝑃𝐹
𝑙𝑛𝑃𝐿
∗
= 𝐿𝑛𝑃𝐿 − 𝑙𝑛𝑃𝐹
𝑙𝑛𝑃𝐾
∗
= 𝐿𝑛𝑃𝐾 − 𝑙𝑛𝑃𝐹
Data:
145 US Electricity generation Firms in 1955
28/01/2024 7
3. Empirical Result
28/01/2024 8
Variables Coefficient Std. Err. t-stats P-Value
Constant -2.1518 0.3853 -5.58 0.000
𝒍𝒐𝒈(𝑸) 0.7206 0.0174 41.29 0.000
𝒍𝒐𝒈(𝑷𝑳
∗
) 0.5944 0.2048 2.90 0.004
𝒍𝒐𝒈(𝑷𝑲
∗
) -0.0078 0.1909 -0.04 0.967
F (3, 141) 638.33 Prob > F 0.0000
R-squared 0.9314 RMSE 0.1704
Regression Result
3. Empirical Result
Graphical Representation
28/01/2024 9
3. Empirical Result
28/01/2024 10
Variables Mod 1 Mod 2 Mod 3 Mod 4 Mod 5
Constant −7.1685
(3.2569)
−6.3592
(1.9322)
−8.5340
(3.3073)
−2. 9185
(4.9759)
−8. 3718
(5.1163)
𝒍𝒏𝑸 0.4219
(0.0874)
0.7179
(0.1563)
1.0201
(0.3732)
0. 8292
(0.4476)
1. 6289
(0.3128)
𝒍𝒏𝑷𝑳
∗ −0.6795
(0.7555)
−0.2235
(0.3688)
−0.0812
(0.3759)
0. 6216
(0.7807)
1. 2888
(0.9498)
𝒍𝒏𝑷𝑲
∗ 0.0090
(0.0090)
−0.4626
(0.3718)
−0.2962
(0.3525)
−1297701
(0.6833)
−1. 4237
(0.8418)
𝑹𝟐 0,5227 0.5682 0.3284 0.4163 0.5757
Regression results of Sub Samples
3. Empirical Result
28/01/2024 11
𝒍𝒏𝑪 Coefficient Std.error t Stats P Value
𝒍𝒏𝑸 0. 0175 0. 1155 0.15 0.880
𝒍𝒏𝑸𝟐 0. 0632 0. 0094 6.71 0.000
𝒍𝒏𝑷𝑳
∗ 0. 1888 0. 2828 0.67 0.505
𝒍𝒏𝑷𝑲
∗ -0.6737 0. 2634 -2.56 0.012
𝑪𝒐𝒏𝒔𝒕𝒂𝒏𝒕 -3. 0564 1. 2408 -2.46 0.15
Regression results with Quadratic Specification
Conclusion
28/01/2024 12
There is evidence of a marked degree of
increasing returns to scale at firm level; but
the degree of returns to scale varies
inversely with output and is considerably
less, especially for large firms.
28/01/2024 13

More Related Content

Similar to Advanced Microeconomics Presentation.pptx

Generating, Cataloging and Applying Energy Efficiency Performance Standards
Generating, Cataloging and Applying Energy  Efficiency Performance StandardsGenerating, Cataloging and Applying Energy  Efficiency Performance Standards
Generating, Cataloging and Applying Energy Efficiency Performance Standards
Mark Miller, P.E.
 
Chapter 18 sensitivity analysis
Chapter 18   sensitivity analysisChapter 18   sensitivity analysis
Chapter 18 sensitivity analysis
Bich Lien Pham
 
Chapter 18 sensitivity analysis
Chapter 18   sensitivity analysisChapter 18   sensitivity analysis
Chapter 18 sensitivity analysis
Bich Lien Pham
 
Development of a solar PV energy assessment tool for EG-Audit Ltd.
Development of a solar PV energy assessment tool for EG-Audit Ltd.Development of a solar PV energy assessment tool for EG-Audit Ltd.
Development of a solar PV energy assessment tool for EG-Audit Ltd.
Daniel Owen
 
Curve_Fitting.pdf
Curve_Fitting.pdfCurve_Fitting.pdf
Curve_Fitting.pdf
Irfan Khan
 
EMPIRICAL PROJECTObjective to help students put in practice w.docx
EMPIRICAL PROJECTObjective  to help students put in practice w.docxEMPIRICAL PROJECTObjective  to help students put in practice w.docx
EMPIRICAL PROJECTObjective to help students put in practice w.docx
SALU18
 
eni_Rossi Gianmarco - Energy Management System for the Optimization of the Up...
eni_Rossi Gianmarco - Energy Management System for the Optimization of the Up...eni_Rossi Gianmarco - Energy Management System for the Optimization of the Up...
eni_Rossi Gianmarco - Energy Management System for the Optimization of the Up...
Gianmarco Rossi
 

Similar to Advanced Microeconomics Presentation.pptx (20)

Generating, Cataloging and Applying Energy Efficiency Performance Standards
Generating, Cataloging and Applying Energy  Efficiency Performance StandardsGenerating, Cataloging and Applying Energy  Efficiency Performance Standards
Generating, Cataloging and Applying Energy Efficiency Performance Standards
 
IRJET- IR Instrument Thermal Background Modelling and Radiometric Analysis
IRJET- IR Instrument Thermal Background Modelling and Radiometric AnalysisIRJET- IR Instrument Thermal Background Modelling and Radiometric Analysis
IRJET- IR Instrument Thermal Background Modelling and Radiometric Analysis
 
Mathematical Investigation on Emission of Bio Diesel in Internal Combustion E...
Mathematical Investigation on Emission of Bio Diesel in Internal Combustion E...Mathematical Investigation on Emission of Bio Diesel in Internal Combustion E...
Mathematical Investigation on Emission of Bio Diesel in Internal Combustion E...
 
Topic 4.1
Topic 4.1Topic 4.1
Topic 4.1
 
Selecting representative days
Selecting representative daysSelecting representative days
Selecting representative days
 
Chapter 18 sensitivity analysis
Chapter 18   sensitivity analysisChapter 18   sensitivity analysis
Chapter 18 sensitivity analysis
 
Chapter 18 sensitivity analysis
Chapter 18   sensitivity analysisChapter 18   sensitivity analysis
Chapter 18 sensitivity analysis
 
ECONOMIC LOAD DISPATCH USING PARTICLE SWARM OPTIMIZATION
ECONOMIC LOAD DISPATCH USING PARTICLE SWARM OPTIMIZATIONECONOMIC LOAD DISPATCH USING PARTICLE SWARM OPTIMIZATION
ECONOMIC LOAD DISPATCH USING PARTICLE SWARM OPTIMIZATION
 
Development of a solar PV energy assessment tool for EG-Audit Ltd.
Development of a solar PV energy assessment tool for EG-Audit Ltd.Development of a solar PV energy assessment tool for EG-Audit Ltd.
Development of a solar PV energy assessment tool for EG-Audit Ltd.
 
Af4201214217
Af4201214217Af4201214217
Af4201214217
 
Curve_Fitting.pdf
Curve_Fitting.pdfCurve_Fitting.pdf
Curve_Fitting.pdf
 
A Visual Guide to Design of Experiments using Quantum XL
A Visual Guide to Design of Experiments using Quantum XLA Visual Guide to Design of Experiments using Quantum XL
A Visual Guide to Design of Experiments using Quantum XL
 
Economic and Emission Dispatch using Whale Optimization Algorithm (WOA)
Economic and Emission Dispatch using Whale Optimization Algorithm (WOA) Economic and Emission Dispatch using Whale Optimization Algorithm (WOA)
Economic and Emission Dispatch using Whale Optimization Algorithm (WOA)
 
EMPIRICAL PROJECTObjective to help students put in practice w.docx
EMPIRICAL PROJECTObjective  to help students put in practice w.docxEMPIRICAL PROJECTObjective  to help students put in practice w.docx
EMPIRICAL PROJECTObjective to help students put in practice w.docx
 
eni_Rossi Gianmarco - Energy Management System for the Optimization of the Up...
eni_Rossi Gianmarco - Energy Management System for the Optimization of the Up...eni_Rossi Gianmarco - Energy Management System for the Optimization of the Up...
eni_Rossi Gianmarco - Energy Management System for the Optimization of the Up...
 
Artificial bee colony algorithm applied to optimal power flow solution incorp...
Artificial bee colony algorithm applied to optimal power flow solution incorp...Artificial bee colony algorithm applied to optimal power flow solution incorp...
Artificial bee colony algorithm applied to optimal power flow solution incorp...
 
Probabilistic forecasting of long-term peak electricity demand
Probabilistic forecasting of long-term peak electricity demandProbabilistic forecasting of long-term peak electricity demand
Probabilistic forecasting of long-term peak electricity demand
 
The cost of power generation
The cost of power generationThe cost of power generation
The cost of power generation
 
001
001001
001
 
Khaled eskaf presentation predicting power consumption using genetic algorithm
Khaled eskaf  presentation predicting power consumption using genetic algorithmKhaled eskaf  presentation predicting power consumption using genetic algorithm
Khaled eskaf presentation predicting power consumption using genetic algorithm
 

More from akashayosha

More from akashayosha (17)

HSK1-L6.pptx
HSK1-L6.pptxHSK1-L6.pptx
HSK1-L6.pptx
 
HSK1-L5.pptx
HSK1-L5.pptxHSK1-L5.pptx
HSK1-L5.pptx
 
HSK1-L4.pptx
HSK1-L4.pptxHSK1-L4.pptx
HSK1-L4.pptx
 
HSK1-L3.pptx
HSK1-L3.pptxHSK1-L3.pptx
HSK1-L3.pptx
 
HSK1-L2.pptx
HSK1-L2.pptxHSK1-L2.pptx
HSK1-L2.pptx
 
HSK1-L1.pptx
HSK1-L1.pptxHSK1-L1.pptx
HSK1-L1.pptx
 
Capital Market Responses to Environmental performance.pptx
Capital Market Responses to Environmental performance.pptxCapital Market Responses to Environmental performance.pptx
Capital Market Responses to Environmental performance.pptx
 
Lab practice session.pptx
Lab practice session.pptxLab practice session.pptx
Lab practice session.pptx
 
Exercises.pptx
Exercises.pptxExercises.pptx
Exercises.pptx
 
Advanced Econometrics L13-14.pptx
Advanced Econometrics L13-14.pptxAdvanced Econometrics L13-14.pptx
Advanced Econometrics L13-14.pptx
 
Advanced Econometrics L11- 12.pptx
Advanced Econometrics L11- 12.pptxAdvanced Econometrics L11- 12.pptx
Advanced Econometrics L11- 12.pptx
 
Advanced Econometrics L10.pptx
Advanced Econometrics L10.pptxAdvanced Econometrics L10.pptx
Advanced Econometrics L10.pptx
 
Advanced Econometrics L9.pptx
Advanced Econometrics L9.pptxAdvanced Econometrics L9.pptx
Advanced Econometrics L9.pptx
 
Advanced Econometrics L7-8.pptx
Advanced Econometrics L7-8.pptxAdvanced Econometrics L7-8.pptx
Advanced Econometrics L7-8.pptx
 
Advanced Econometrics L5-6.pptx
Advanced Econometrics L5-6.pptxAdvanced Econometrics L5-6.pptx
Advanced Econometrics L5-6.pptx
 
Advanced Econometrics L3-4.pptx
Advanced Econometrics L3-4.pptxAdvanced Econometrics L3-4.pptx
Advanced Econometrics L3-4.pptx
 
Advanced Econometrics L1-2.pptx
Advanced Econometrics L1-2.pptxAdvanced Econometrics L1-2.pptx
Advanced Econometrics L1-2.pptx
 

Recently uploaded

From Luxury Escort Service Kamathipura : 9352852248 Make on-demand Arrangemen...
From Luxury Escort Service Kamathipura : 9352852248 Make on-demand Arrangemen...From Luxury Escort Service Kamathipura : 9352852248 Make on-demand Arrangemen...
From Luxury Escort Service Kamathipura : 9352852248 Make on-demand Arrangemen...
From Luxury Escort : 9352852248 Make on-demand Arrangements Near yOU
 
20240429 Calibre April 2024 Investor Presentation.pdf
20240429 Calibre April 2024 Investor Presentation.pdf20240429 Calibre April 2024 Investor Presentation.pdf
20240429 Calibre April 2024 Investor Presentation.pdf
Adnet Communications
 
VIP Call Girl in Mira Road 💧 9920725232 ( Call Me ) Get A New Crush Everyday ...
VIP Call Girl in Mira Road 💧 9920725232 ( Call Me ) Get A New Crush Everyday ...VIP Call Girl in Mira Road 💧 9920725232 ( Call Me ) Get A New Crush Everyday ...
VIP Call Girl in Mira Road 💧 9920725232 ( Call Me ) Get A New Crush Everyday ...
dipikadinghjn ( Why You Choose Us? ) Escorts
 
VIP Independent Call Girls in Mira Bhayandar 🌹 9920725232 ( Call Me ) Mumbai ...
VIP Independent Call Girls in Mira Bhayandar 🌹 9920725232 ( Call Me ) Mumbai ...VIP Independent Call Girls in Mira Bhayandar 🌹 9920725232 ( Call Me ) Mumbai ...
VIP Independent Call Girls in Mira Bhayandar 🌹 9920725232 ( Call Me ) Mumbai ...
dipikadinghjn ( Why You Choose Us? ) Escorts
 

Recently uploaded (20)

From Luxury Escort Service Kamathipura : 9352852248 Make on-demand Arrangemen...
From Luxury Escort Service Kamathipura : 9352852248 Make on-demand Arrangemen...From Luxury Escort Service Kamathipura : 9352852248 Make on-demand Arrangemen...
From Luxury Escort Service Kamathipura : 9352852248 Make on-demand Arrangemen...
 
Top Rated Pune Call Girls Sinhagad Road ⟟ 6297143586 ⟟ Call Me For Genuine S...
Top Rated  Pune Call Girls Sinhagad Road ⟟ 6297143586 ⟟ Call Me For Genuine S...Top Rated  Pune Call Girls Sinhagad Road ⟟ 6297143586 ⟟ Call Me For Genuine S...
Top Rated Pune Call Girls Sinhagad Road ⟟ 6297143586 ⟟ Call Me For Genuine S...
 
Shrambal_Distributors_Newsletter_Apr-2024 (1).pdf
Shrambal_Distributors_Newsletter_Apr-2024 (1).pdfShrambal_Distributors_Newsletter_Apr-2024 (1).pdf
Shrambal_Distributors_Newsletter_Apr-2024 (1).pdf
 
20240429 Calibre April 2024 Investor Presentation.pdf
20240429 Calibre April 2024 Investor Presentation.pdf20240429 Calibre April 2024 Investor Presentation.pdf
20240429 Calibre April 2024 Investor Presentation.pdf
 
The Economic History of the U.S. Lecture 23.pdf
The Economic History of the U.S. Lecture 23.pdfThe Economic History of the U.S. Lecture 23.pdf
The Economic History of the U.S. Lecture 23.pdf
 
Booking open Available Pune Call Girls Wadgaon Sheri 6297143586 Call Hot Ind...
Booking open Available Pune Call Girls Wadgaon Sheri  6297143586 Call Hot Ind...Booking open Available Pune Call Girls Wadgaon Sheri  6297143586 Call Hot Ind...
Booking open Available Pune Call Girls Wadgaon Sheri 6297143586 Call Hot Ind...
 
The Economic History of the U.S. Lecture 20.pdf
The Economic History of the U.S. Lecture 20.pdfThe Economic History of the U.S. Lecture 20.pdf
The Economic History of the U.S. Lecture 20.pdf
 
(INDIRA) Call Girl Mumbai Call Now 8250077686 Mumbai Escorts 24x7
(INDIRA) Call Girl Mumbai Call Now 8250077686 Mumbai Escorts 24x7(INDIRA) Call Girl Mumbai Call Now 8250077686 Mumbai Escorts 24x7
(INDIRA) Call Girl Mumbai Call Now 8250077686 Mumbai Escorts 24x7
 
03_Emmanuel Ndiaye_Degroof Petercam.pptx
03_Emmanuel Ndiaye_Degroof Petercam.pptx03_Emmanuel Ndiaye_Degroof Petercam.pptx
03_Emmanuel Ndiaye_Degroof Petercam.pptx
 
The Economic History of the U.S. Lecture 21.pdf
The Economic History of the U.S. Lecture 21.pdfThe Economic History of the U.S. Lecture 21.pdf
The Economic History of the U.S. Lecture 21.pdf
 
The Economic History of the U.S. Lecture 18.pdf
The Economic History of the U.S. Lecture 18.pdfThe Economic History of the U.S. Lecture 18.pdf
The Economic History of the U.S. Lecture 18.pdf
 
00_Main ppt_MeetupDORA&CyberSecurity.pptx
00_Main ppt_MeetupDORA&CyberSecurity.pptx00_Main ppt_MeetupDORA&CyberSecurity.pptx
00_Main ppt_MeetupDORA&CyberSecurity.pptx
 
VIP Call Girl in Mira Road 💧 9920725232 ( Call Me ) Get A New Crush Everyday ...
VIP Call Girl in Mira Road 💧 9920725232 ( Call Me ) Get A New Crush Everyday ...VIP Call Girl in Mira Road 💧 9920725232 ( Call Me ) Get A New Crush Everyday ...
VIP Call Girl in Mira Road 💧 9920725232 ( Call Me ) Get A New Crush Everyday ...
 
05_Annelore Lenoir_Docbyte_MeetupDora&Cybersecurity.pptx
05_Annelore Lenoir_Docbyte_MeetupDora&Cybersecurity.pptx05_Annelore Lenoir_Docbyte_MeetupDora&Cybersecurity.pptx
05_Annelore Lenoir_Docbyte_MeetupDora&Cybersecurity.pptx
 
Solution Manual for Financial Accounting, 11th Edition by Robert Libby, Patri...
Solution Manual for Financial Accounting, 11th Edition by Robert Libby, Patri...Solution Manual for Financial Accounting, 11th Edition by Robert Libby, Patri...
Solution Manual for Financial Accounting, 11th Edition by Robert Libby, Patri...
 
Indore Real Estate Market Trends Report.pdf
Indore Real Estate Market Trends Report.pdfIndore Real Estate Market Trends Report.pdf
Indore Real Estate Market Trends Report.pdf
 
VVIP Pune Call Girls Katraj (7001035870) Pune Escorts Nearby with Complete Sa...
VVIP Pune Call Girls Katraj (7001035870) Pune Escorts Nearby with Complete Sa...VVIP Pune Call Girls Katraj (7001035870) Pune Escorts Nearby with Complete Sa...
VVIP Pune Call Girls Katraj (7001035870) Pune Escorts Nearby with Complete Sa...
 
VIP Independent Call Girls in Mira Bhayandar 🌹 9920725232 ( Call Me ) Mumbai ...
VIP Independent Call Girls in Mira Bhayandar 🌹 9920725232 ( Call Me ) Mumbai ...VIP Independent Call Girls in Mira Bhayandar 🌹 9920725232 ( Call Me ) Mumbai ...
VIP Independent Call Girls in Mira Bhayandar 🌹 9920725232 ( Call Me ) Mumbai ...
 
The Economic History of the U.S. Lecture 30.pdf
The Economic History of the U.S. Lecture 30.pdfThe Economic History of the U.S. Lecture 30.pdf
The Economic History of the U.S. Lecture 30.pdf
 
The Economic History of the U.S. Lecture 17.pdf
The Economic History of the U.S. Lecture 17.pdfThe Economic History of the U.S. Lecture 17.pdf
The Economic History of the U.S. Lecture 17.pdf
 

Advanced Microeconomics Presentation.pptx

  • 1. Return to Scale in Electricity Supply By: Marc Nerlove (1961) 28/01/2024 1
  • 2. Contents 1. Introduction 2. Theoretical Development 3. Results and Discussion 4. Conclusion 28/01/2024 2
  • 3. 1. Introduction  Pioneering work to model the structure of production in the industry using neoclassical cost function approach was done by Nerlove in 1961.  Scale of economies in electricity generation.  Cobb-Douglas Production Function with three inputs Capital, Labor and Fuel Prices of inputs Cant be treated as exogenous rather they are endogenous  A research Gap  Gap Bridging  Treated as exogenous factor. 28/01/2024 3
  • 4. 2. Theoretical Development Cobb–Douglas function to model output as a function of capital, K, labor, L, and fuel, F: 𝑄 = 𝛼0𝐾𝛼𝐾𝐿𝛼𝐿𝐹𝛼𝐹𝑒𝜀𝑖 The economies of scale parameter is; 𝑟 = 𝛼𝐾 + 𝛼𝐿 + 𝛼𝐹 The value 1 indicates constant return to scale The production model is loglinear These three factors prices can be treated as exogenous variables (Research Gap) 28/01/2024 4
  • 5. 2. Theoretical Development For a firm that optimizes by choosing its factors of production, the demand for fuel would be; 𝑭∗ = 𝑭∗ 𝑸, 𝑷𝑲, 𝑷𝑳, 𝑷𝑭 and likewise for labor and capital. The firm’s objective of cost minimization problem was; 𝑴𝒊𝒏 𝑷𝑲𝑲 + 𝑷𝑳𝑳 + 𝑷𝑭𝑭 + 𝝀(𝑸 − 𝜶𝟎𝑲𝜶𝑲𝑳𝜶𝑳𝑭𝜶𝑭) 28/01/2024 5
  • 6. 2. Theoretical Development Find the optimal cost minimizing bundle of factor demand , substitute in the cost function gives 𝑪 𝑸, 𝑷𝑲, 𝑷𝑳, 𝑷𝑭 = 𝒓𝑨𝑸𝟏/𝒓𝑷𝑲 𝜶𝑲/𝒓 𝑷𝑳 𝜶𝑳/𝒓 𝑷𝑭 𝜶𝑭/𝒓 𝒆𝜺𝒊/𝒓 or 𝒍𝒏𝑪 . = 𝒍𝒏𝒓 + 𝒍𝒏 + (𝟏/𝒓) ∗ 𝒍𝒏𝑸 + (𝜶𝑲/𝒓) ∗ 𝐥𝐧 𝑷𝑲 + (𝜶𝑳/𝒓) ∗ 𝐥𝐧 𝑷𝑳 + (𝜶𝑭/𝒓) ∗ 𝐥𝐧 𝑷𝑭 + 𝜺𝒊/𝒓 𝒍𝒏𝑪 = 𝜷𝟏 + 𝜷𝒒𝒍𝒏𝑸 + 𝜷𝒌𝒍𝒏𝑷𝑲 + 𝜷𝑳𝒍𝒏𝑷𝑳 + 𝜷𝑭𝒍𝒏𝑷𝑭 + 𝒖𝒊 28/01/2024 6
  • 7. 2. Theoretical Development 𝑙𝑛𝐶∗ = 𝛽1 + 𝛽𝑞𝑙𝑛𝑄 + 𝛽𝐿𝑙𝑛𝑃𝐿 ∗ + 𝛽𝐾𝑙𝑛𝑃𝐾 ∗ Where; 𝑙𝑛𝐶∗ = 𝐿𝑛𝐶 − 𝑙𝑛𝑃𝐹 𝑙𝑛𝑃𝐿 ∗ = 𝐿𝑛𝑃𝐿 − 𝑙𝑛𝑃𝐹 𝑙𝑛𝑃𝐾 ∗ = 𝐿𝑛𝑃𝐾 − 𝑙𝑛𝑃𝐹 Data: 145 US Electricity generation Firms in 1955 28/01/2024 7
  • 8. 3. Empirical Result 28/01/2024 8 Variables Coefficient Std. Err. t-stats P-Value Constant -2.1518 0.3853 -5.58 0.000 𝒍𝒐𝒈(𝑸) 0.7206 0.0174 41.29 0.000 𝒍𝒐𝒈(𝑷𝑳 ∗ ) 0.5944 0.2048 2.90 0.004 𝒍𝒐𝒈(𝑷𝑲 ∗ ) -0.0078 0.1909 -0.04 0.967 F (3, 141) 638.33 Prob > F 0.0000 R-squared 0.9314 RMSE 0.1704 Regression Result
  • 9. 3. Empirical Result Graphical Representation 28/01/2024 9
  • 10. 3. Empirical Result 28/01/2024 10 Variables Mod 1 Mod 2 Mod 3 Mod 4 Mod 5 Constant −7.1685 (3.2569) −6.3592 (1.9322) −8.5340 (3.3073) −2. 9185 (4.9759) −8. 3718 (5.1163) 𝒍𝒏𝑸 0.4219 (0.0874) 0.7179 (0.1563) 1.0201 (0.3732) 0. 8292 (0.4476) 1. 6289 (0.3128) 𝒍𝒏𝑷𝑳 ∗ −0.6795 (0.7555) −0.2235 (0.3688) −0.0812 (0.3759) 0. 6216 (0.7807) 1. 2888 (0.9498) 𝒍𝒏𝑷𝑲 ∗ 0.0090 (0.0090) −0.4626 (0.3718) −0.2962 (0.3525) −1297701 (0.6833) −1. 4237 (0.8418) 𝑹𝟐 0,5227 0.5682 0.3284 0.4163 0.5757 Regression results of Sub Samples
  • 11. 3. Empirical Result 28/01/2024 11 𝒍𝒏𝑪 Coefficient Std.error t Stats P Value 𝒍𝒏𝑸 0. 0175 0. 1155 0.15 0.880 𝒍𝒏𝑸𝟐 0. 0632 0. 0094 6.71 0.000 𝒍𝒏𝑷𝑳 ∗ 0. 1888 0. 2828 0.67 0.505 𝒍𝒏𝑷𝑲 ∗ -0.6737 0. 2634 -2.56 0.012 𝑪𝒐𝒏𝒔𝒕𝒂𝒏𝒕 -3. 0564 1. 2408 -2.46 0.15 Regression results with Quadratic Specification
  • 12. Conclusion 28/01/2024 12 There is evidence of a marked degree of increasing returns to scale at firm level; but the degree of returns to scale varies inversely with output and is considerably less, especially for large firms.