Muutke küpsiste eelistusi

Energy Demand in Industry: What Factors Are Important? 1st ed. 2015 [Kõva köide]

  • Formaat: Hardback, 196 pages, kõrgus x laius: 235x155 mm, kaal: 4498 g, 16 Illustrations, black and white, 1 Hardback
  • Sari: Green Energy and Technology
  • Ilmumisaeg: 19-Aug-2015
  • Kirjastus: Springer
  • ISBN-10: 9401799520
  • ISBN-13: 9789401799522
Teised raamatud teemal:
  • Kõva köide
  • Hind: 83,99 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Tavahind: 111,99 €
  • Säästad 25%
  • Raamatu kohalejõudmiseks kirjastusest kulub orienteeruvalt 3-4 nädalat
  • Kogus:
  • Lisa ostukorvi
  • Tasuta tarne
  • Tellimisaeg 2-4 nädalat
  • Lisa soovinimekirja
Energy Demand in Industry: What Factors Are Important? 1st ed. 2015Suurem pilt
  • Formaat: Hardback, 196 pages, kõrgus x laius: 235x155 mm, kaal: 4498 g, 16 Illustrations, black and white, 1 Hardback
  • Sari: Green Energy and Technology
  • Ilmumisaeg: 19-Aug-2015
  • Kirjastus: Springer
  • ISBN-10: 9401799520
  • ISBN-13: 9789401799522
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9789401799522.html
Märksõnad:
The book presents a stochastic analysis based on production risk and application of this method in the industrial sector under production risk where energy use is an input factor. Using South Korea as a case study, the book empirically models energy demand at the industrial level and analyzes the results to identify key determinants of energy demand, productions level, productions risk and energy usage efficiency.

Particular attention is paid to the factors that enhance production risk or increase variations in energy input during production. A dynamic panel model is specified and applied to 25 Korean industrial sectors over the period 1970-2007. The determinants of energy usage are identified and their effects in the form of elasticities of energy usage are estimated. In addition the structural changes in the energy demand pattern are explored. Stochastic production technology is applied to create two primary models: A production model where the energy usage is a determinant of output and an energy demand model based on an inverted factor demand model where demand is a key determinant of the level of energy usage.

The findings reveal that: First, there are large variations in the degree of overuse or inefficiency in energy usage among the individual industries and over time; second, ICT (information and communication technology) capital and labor are substituting energy; third, ICT capital and value added services are two input factors decreasing the variability of energy demand while non-ICT capital, material and labor are increasing the variability of energy demand.  Finally, the results suggest that technical progress contributes more to the increase of mean of energy demand than to the reduction of the level of risk. An emerging recommendation is that industries increase the level of ICT capital and digitalization and invest more in R&D activities and value added services to reduce the uncertainty related to their demand for energy.This study forms the structure of the demand for energy under stochastic production risk for the South Korean industrial sector. Public research programs aimed at the industrial sector should be concerned about both mean and risk properties in research on new technologies and in the investigation of possible alternative energy inputs.





This book describes the state of the art in energy usage analysis and production risk, applying factor requirement methodology. It will be of use as a main or supplementary text in the teaching of advanced graduate courses but also as a reference for those working on empirically advanced research. The book is an important addition to the existing literature on industrial development, with its focus on energy as a core production input.
1 Overview
1(20)
1.1 Introduction
1(2)
1.2 The Concept of Energy Use Efficiency
3(1)
1.3 Objectives
4(1)
1.4 Theoretical Justification
5(2)
1.5 The Research Design
7(1)
1.6 Empirical Motivations
7(1)
1.7 Assumptions and Limitations
8(1)
1.7.1 Energy Price
8(1)
1.7.2 Methodological and Theoretical Assumptions
9(1)
1.8 Operational Definitions
9(4)
1.9 Expected Outcome
13(1)
1.10 The Structure of the Book
14(1)
1.11 Summary
15(1)
References
16(5)
2 History of Economic Development in South Korea
21(10)
2.1 Introduction
21(1)
2.2 The Development of Industrial and Technological Policies
22(2)
2.3 Energy Consumption
24(2)
2.4 Policies of Energy Conservation and Structural Changes
26(1)
2.5 Energy Efficiency
27(1)
2.6 Summary
28(1)
References
28(3)
3 Literature on Energy Demand
31(16)
3.1 Introduction
32(1)
3.2 Inter-Factor Substitutability and Complementarity
32(4)
3.3 Energy Efficiency
36(3)
3.4 Energy Demand
39(1)
3.5 The Elasticity of Demand
40(1)
3.6 Critique of Previous Literature
41(1)
3.7 Summary
41(1)
References
42(5)
4 Literature on Production Risk
47(16)
4.1 Introduction
48(1)
4.2 The Utility Theory and Expectation
48(1)
4.3 The Argument of the Utility Function
49(1)
4.4 The Theory of Firm Behavior
50(3)
4.4.1 Producer's Decision in the Presence of Risk
51(1)
4.4.2 Just and Pope Postulates
52(1)
4.5 The Production Risk
53(2)
4.6 Mean Factor Inputs and Output Variance
55(1)
4.7 Technical Efficiency
56(1)
4.8 Critique of Previous Literature
57(1)
4.9 Summary
58(1)
References
59(4)
5 Econometrics of Panel Data Estimation
63(26)
5.1 Introduction
63(1)
5.2 Fixed Effect and Random Effect Models
64(1)
5.3 Characteristics of Panel Data
65(1)
5.3.1 Advantages
65(1)
5.3.2 Disadvantages and Limitations
65(1)
5.4 Industry Heterogeneity and Heteroskedasticity
66(1)
5.5 Industry Heterogeneity and Panel Data Availability
67(1)
5.6 The Theoretical Framework
67(2)
5.7 The Econometric Model
69(10)
5.7.1 Feasible Generalized Least Square (FGLS)
72(1)
5.7.2 Cobb-Douglas Production Function
73(3)
5.7.3 The Translog Function
76(1)
5.7.4 Models for Production Risk
77(1)
5.7.5 Specification of the Variance
78(1)
5.8 Model Specification
79(4)
5.8.1 Two-Stage Estimation Procedure for the Variance Function Parameters
79(1)
5.8.2 Estimation of the Energy Demand Model Using Production Risk Approach
79(4)
5.9 Sampling Distribution Properties
83(1)
5.10 Summary
84(1)
References
85(4)
6 The EUKLEMS Database
89(20)
6.1 Introduction
89(1)
6.2 The Data Source
90(1)
6.3 Population and Sampling Strategy
91(1)
6.4 Classification of the Industries
91(3)
6.5 The Dependent and the Independent Variables
94(1)
6.6 Multicollinearity and Validation of Results
95(2)
6.7 Overview of Statistical Analysis
97(6)
6.7.1 Summary Statistics
97(3)
6.7.2 Classification of the Industries Based on Their Characteristics
100(1)
6.7.3 Inputs and Output Levels by Industry
101(2)
6.8 Energy Intensity in the Industries
103(2)
6.9 Empirical Test for Heterogeneity
105(1)
6.10 Summary
106(1)
References
107(2)
7 Production Function Models Estimation
109(20)
7.1 Introduction
110(1)
7.2 Cobb-Douglas Production Function
110(3)
7.3 The Translog Production Function
113(9)
7.3.1 The Model's Overall Performance
113(2)
7.3.2 Specification Test
115(1)
7.3.3 Regularity Conditions Test
115(1)
7.3.4 The Elasticities of Inputs
116(1)
7.3.5 The Rate of Returns to Scale
117(1)
7.3.6 The Rate of Technical Change
118(2)
7.3.7 The Growth in the Total Factor Productivity
120(1)
7.3.8 Hypotheses Testing
121(1)
7.4 Summary
122(2)
Appendix A Elasticities Estimates for the Translog Production Function
124(4)
References
128(1)
8 Energy Demand Model I
129(22)
8.1 Introduction
129(1)
8.2 The Energy Demand Model not Accounting for Risk
130(3)
8.3 The Overall Performance
133(1)
8.4 Regularity Conditions Test
133(1)
8.5 The Elasticities of Energy Demand
134(1)
8.6 The Rate of Technical Change
135(3)
8.7 Hypotheses Testing
138(1)
8.8 Summary
139(1)
Appendix A Elasticities Estimates for the Translog Energy Demand Model I
139(10)
References
149(2)
9 Energy Demand Model II
151(20)
9.1 Introduction
152(1)
9.2 The Energy Demand Model Accounting for Risk
152(1)
9.3 Empirical Tests for Heteroskedasticity
153(1)
9.4 A Three-Stage FGLS Estimation
153(3)
9.5 The Overall Performance
156(1)
9.6 Regularity Conditions Tests
157(1)
9.7 Specification Test
157(1)
9.8 The Energy Demand Elasticities
158(1)
9.9 The Marginal Risks Effects
159(2)
9.10 Technical Efficiency
161(1)
9.11 Hypotheses Testing
161(1)
9.12 Summary
162(1)
Appendix A Summary Data, Parameter Estimates, and Elasticities for the Translog Energy Demand Model II
163(6)
References
169(2)
10 Discussion of the Results and Policy Implications
171(18)
10.1 Introduction
172(1)
10.2 The Growth in Energy Consumption
172(1)
10.3 The Elasticities of Inputs
173(6)
10.3.1 The Production Function Models
173(3)
10.3.2 The Energy Demand Models
176(3)
10.4 The Returns to Scale
179(1)
10.5 The Marginal Effects
179(1)
10.6 Technical Efficiency
180(3)
10.7 Conclusion About the Research Questions and Their Hypotheses
183(1)
10.7.1 The Research Questions
183(1)
10.7.2 Overview of Analysis and Hypotheses Testing
183(1)
10.8 Implications for Industry and Policy Makers
184(1)
10.9 Summary
185(1)
References
186(3)
11 Summary and Conclusion
189(6)
11.1 Overall Summary
189(4)
11.2 Overall Findings of the Empirical Study
193(1)
11.3 Conclusions and Practical Recommendations
193(1)
11.4 Recommendations for Further Research
194(1)
Index 195
Nabaz T. Khayyat, a Kurdish citizen, an Engineering Economist, has a PhD in economics, from Swiss Management University, Zurich, Switzerland and a PhD in Engineering and IT Policy from Seoul National University, South Korea. He worked for the United Nations Mine Action Program for many years where he acquired the knowledge and managerial skills in mine action information systems. His research interest are mainly in the areas of energy economics, demand forecasting, productivity analysis and production risk. He has a number of published books and journal articles.