发一本书，可能有人需要：Input–Output Analysis: Foundations and Extensions

13015

收藏 2010-08-16

Miller, R.E., Blair, P.D., Input–Output Analysis: Foundations and Extensions. Prentice-Hall,Englewood-Cliffs, New Jersey

Contents
List of Figures page xxii
List of Tables xxiv
Preface xxix
1 Introduction and Overview 1
1.1 Introduction 1
1.2 Input–Output Analysis: The Basic Framework 2
1.3 Outline for this Text 3
1.4 InternetWebsite and Text Locations of Real Datasets 8
References 9
2 Foundations of Input–Output Analysis 10
2.1 Introduction 10
2.2 Notation and Fundamental Relationships 10
2.2.1 Input–Output Transactions and National Accounts 13
2.2.2 Production Functions and the Input–Output Model 15
2.3 An Illustration of Input–Output Calculations 21
2.3.1 Numerical Example: Hypothetical Figures – Approach I 21
Impacts on Industry Outputs 21
Other Impacts 24
2.3.2 Numerical Example: Hypothetical Figures – Approach II 26
2.3.3 Numerical Example: Mathematical Observations 27
2.3.4 Numerical Example: The US 2003 Data 29
2.4 The Power Series Approximation of (I − A)−1 31
2.5 Open Models and Closed Models 34
2.6 The Price Model 41
2.6.1 Overview 41
2.6.2 Physical vs. Monetary Transactions 42
2.6.3 The Price Model based on Monetary Data 43
2.6.4 Numerical Examples Using the Price Model based
on Monetary Data 44
Example 1: Base Year Prices 44
Example 2: Changed Base Year Prices 45
2.6.5 Applications 46
2.6.6 The Price Model based on Physical Data 47
Introduction of Prices 48
Relationship between A and C 49
2.6.7 Numerical Examples Using the Price Model based on
Physical Data 50
Example 1: Base Year Prices 50
Example 2: Changed Base Year Prices 51
2.6.8 The Quantity Model based on Physical Data 51
2.6.9 A Basic National Income Identity 53
2.7 Summary 53
Appendix 2.1 The Relationship between Approaches I and II 54
A2.1.1 Approach I 54
A2.1.2 Approach II 55
Appendix 2.2 The Hawkins–Simon Conditions 58
Problems 62
References 66
3 Input–Output Models at the Regional Level 69
3.1 Introduction 69
3.2 Single-Region Models 70
3.2.1 National Coefficients 70
3.2.2 Regional Coefficients 72
3.2.3 Closing a Regional Model with respect to Households 74
3.3 Many-Region Models: The Interregional Approach 76
3.3.1 Basic Structure of Two-Region Interregional Input–Output
Models 77
3.3.2 Interregional Feedbacks in the Two-Region Model 80
3.3.3 Numerical Example: Hypothetical Two-Region Interregional
Case 82
3.3.4 Interregional Models with more than Two Regions 86
3.3.5 Implementation of the IRIO Model 87
3.4 Many-Region Models: The Multiregional Approach 87
3.4.1 The Regional Tables 87
3.4.2 The Interregional Tables 89
3.4.3 The Multiregional Model 91
3.4.4 Numerical Example: Hypothetical Two-Region
Multiregional Case 93
3.4.5 The US MRIO Models 96
3.4.6 Numerical Example: The Chinese Multiregional
Model for 2000 97
3.5 The Balanced Regional Model 101
3.5.1 Structure of the Balanced Regional Model 101
3.5.2 Numerical Example 104
3.6 The Spatial Scale of Regional Models 105
3.7 Summary 106
Appendix 3.1 Basic Relationships in the Multiregional Input–Output
Model 107
Appendix 3.2 Sectoral and Regional Aggregation in the 2000 Chinese
Multiregional Model 109
Appendix 3.3 The Balanced Regional Model and the Inverse of a
Partitioned (I − A) Matrix 110
Problems 111
References 115
4 Organization of Basic Data for Input–Output Models 119
4.1 Introduction 119
4.2 Observations on Ad Hoc Survey-Based Input–Output Tables 119
4.3 Observations on Common Methods for Generating
Input–Output Tables 120
4.4 A System of National Economic Accounts 121
4.4.1 The Circular Flow of Income and Consumer Expenditure 122
4.4.2 Savings and Investment 123
4.4.3 Adding Overseas Transactions: Imports, Exports, and Other
Transactions 126
4.4.4 The Government Sector 127
4.4.5 The Consolidated Balance Statement for National Accounts 128
4.4.6 Expressing NetWorth 131
4.5 National Income and Product Accounting Conventions 133
4.6 Assembling Input–Output Accounts: The US Case 134
4.7 Additional Considerations 137
4.7.1 Secondary Production: Method of Reallocation 140
Example 1: Reallocation of Secondary Production 141
4.7.2 Secondary Production: Commodity-by-Industry Accounting 142
Example 2: Commodity-by-Industry Accounts 142
4.7.3 Reconciling with the National Accounts 143
4.7.4 Producers’ and Consumers’ Prices 144
Example 3: Trade and Transportation Margins 146
4.7.5 Accounting for Imports and Exports 149
Example 4: Competitive and Noncompetitive Imports 149
4.7.6 Removing Competitive Imports from Total Transactions
Tables 150
Approximation Method I 151
Approximation Method II 151
Example 5: Import Scrubbing 152
Implications of the Estimating Assumptions 154
4.7.7 Adjustments for Inventory Change 157
4.7.8 Adjustments for Scrap 157
4.8 Valuation and Double Deflation 157
Example 6: Double Deflation 159
4.9 The Aggregation Problem: Level of Detail in Input–Output Tables 160
4.9.1 The Aggregation Matrix 161
Example 7: Sectoral Aggregation 162
4.9.2 Measures of Aggregation Bias 165
4.10 Summary 168
Appendix 4.1 Spatial Aggregation in IRIO and MRIO Models 168
A4.1.1 Spatial Aggregation of IRIO Models 168
A4.1.2 Spatial Aggregation of MRIO Models 172
Problems 176
References 180
5 The Commodity-by-Industry Approach in Input–Output Models 184
5.1 Introduction 184
5.1.1 The Use Matrix 185
5.1.2 The Make Matrix 186
5.2 The Basic Accounting Relationships 187
5.3 Technology and Total Requirements Matrices in the
Commodity–Industry Approach 188
5.3.1 Industry Source of Commodity Outputs 189
5.3.2 Commodity Composition of Industry Outputs 189
5.3.3 Generating Total Requirements Matrices 189
Using D 190
Using C 191
5.3.4 “Industry-Based” Technology 192
5.3.5 “Commodity-Based” Technology 193
5.3.6 Direct Requirements (Technical Coefficients) Matrices
Derived from Basic Data 195
5.3.7 Total Requirements Matrices 196
Approach I: Starting with Technical Coefficients 196
Approach II: Avoiding C−1 in Commodity Technology Cases 198
Is Singularity Likely to be a Problem in Real-World Models? 199
5.4 Numerical Examples of Alternative Direct and Total Requirements
Matrices 201
5.4.1 Direct Requirements Matrices 202
5.4.2 Total Requirements Matrices 202
Commodity-Demand Driven Models 202
Industry-Demand Driven Models 202
5.5 Negative Elements in the Commodity–Industry Framework 203
5.5.1 Commodity Technology 203
Direct Requirements Matrices 203
Transactions Matrices 205
Total Requirements Matrices 206
5.5.2 Industry Technology 207
Direct Requirements Matrices 207
Total Requirements Matrices 207
5.5.3 Making a Model Choice 208
Which Model to Choose? 208
Dealing with Negative Values 209
5.6 Nonsquare Commodity–Industry Systems 211
5.6.1 Commodity Technology 211
5.6.2 Industry Technology 212
Direct Requirements Matrices 212
Total Requirements Matrices 213
5.7 Mixed Technology in the Commodity–Industry Framework 213
5.7.1 Commodity Technology in V1 216
5.7.2 Industry Technology in V1 218
5.7.3 Numerical Examples with Mixed Technology
Assumptions 219
Example 1: Commodity Technology in V1 219
Example 2: Industry Technology in V1 220
5.7.4 Additional Mixed Technology Variants 220
5.8 Summary 222
Appendix 5.1 Alternative Approaches to the Derivation of Transactions
Matrices 223
A5.1.1 Industry Technology 224
Commodity-by-Commodity Requirements 224
Industry-by-Industry Requirements 225
A5.1.2 Commodity Technology 226
Commodity-by-Commodity Requirements 226
Industry-by-Industry Requirements 228
Appendix 5.2 Elimination of Negatives in Commodity Technology
Models 229
A5.2.1 The Problem 229
3 × 3 Example 229
4 × 4 Example 229
5 × 5 Example (from Almon, 2000) 230
A5.2.2 Approaches to Elimination of Negative Elements 230
A5.2.3 Results of the Iterative Procedure 234
3 × 3 Example 234
4 × 4 Example 234
5 × 5 Example 235
Problems 237
References 240
6 Multipliers in the Input–Output Model 243
6.1 Introduction 243
6.2 General Structure of Multiplier Analysis 244
6.2.1 Output Multipliers 245
Simple Output Multipliers 245
Total Output Multipliers 247
Example: The US Input–Output Model for 2003 248
Output Multipliers in Commodity–Industry Models 249
Commodity-Demand-Driven Models 249
Industry-Demand-Driven Models 250
6.2.2 Income/Employment Multipliers 250
Income Multipliers 250
Type I and Type II Income Multipliers 252
Relationship Between Simple and Total Income Multipliers or
Between Type I and Type II Income Multipliers 253
Which Multiplier to Use? 254
Even More Income Multipliers 255
Physical Employment Multipliers 255
6.2.3 Value-Added Multipliers 256
6.2.4 Matrix Representations 256
6.2.5 Summary 257
6.3 Multipliers in Regional Models 259
6.3.1 Regional Multipliers 259
6.3.2 Interregional Input–Output Multipliers 261
Intraregional Effects 261
Interregional Effects 262
National Effects 263
Sectoral Effects 263
More Than Two Regions 264
.........
剩下的目录写不下了,帖子有长度限制

附件列表

0521517133.pdf