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Index
Cover Page
Halftitle Page
Dedication Page
Title Page
Copyright Page
Contents
Figures and tables
About the authors
Acknowledgments
Preface
1. The setting and introduction
2. Location analysis for industry and service trades: comparative cost and other approaches
2.0 Introduction
2.1 Industry location principles and the comparative cost approach
2.1.1 Locational analysis for the iron and steel industry
2.1.2 Analysis of the aluminum industry, and energy and other location factors
2.2 Service trades location principles
2.3 Spatial and location measures
2.3.1 The location quotient
2.3.2 The coefficient of localization
2.3.3 The localization curve
2.4 Geographic information systems (GIS)
2.5 Concluding remarks
Endnotes
References
3. Regional and interregional input-output analysis
3.0 Introduction
3.1 A single region
3.1.1 The statistical framework: input-output accounts
3.1.2 Technical coefficients and the input-output model
3.1.3 Input-output analysis
3.2 Two or more regions: the interregional input-output (IRIO) system
3.2.1 The statistical framework: interregional input-output accounts
3.2.2 Technical and trade coefficients in the IRIO model
3.2.3 Input-output analysis with the IRIO model
3.3 Two or more regions: the multiregional input-output (MRIO) system
3.3.1 The statistical framework: multiregional input-output accounts
3.3.2 Input-output analysis with the MRIO model
3.4 Constructing models from less than perfect data sets
3.4.1 Survey-based tables
3.4.2 Nonsurvey-based tables
3.4.3 Hybrid tables
3.4.4 Interregional connections
3.4.5 Empirical implementation
3.5 Fusion of comparative cost and input-output: editorial remarks
Appendix 3.1 The commodity-industry approach in input-output models
Appendix 3.2 Additional linkage measures from input-output data
Appendix 3.3 Data for the two-region IRIO numerical example
Appendix 3.4 The RAS approach to updating or regionalization of input-output tables
Endnotes
References
Mathematical appendix. Elements of matrix algebra
4. Regional and spatial econometric analysis
4.0 Introduction
4.1 Econometric models and their uses
4.1.1 The basic structure
4.1.2 Three typical applications
4.2 Some underlying statistical theory
4.2.1 Desirable properties of estimators
4.2.2 Ordinary least squares (OLS) estimators
4.2.3 Assumptions of OLS estimators
4.2.4 Other estimators
4.3 Some problems of estimation
4.3.1 Specification errors
4.3.2 The expected value of the error term is not equal to zero
4.3.3 The variance of the error term is not constant
4.3.4 Correlated error terms
4.3.5 Stochastic explanatory variables, multicollinearity, and measurement errors
4.4 Other relevant econometric models
4.4.1 The use of dummy variables
4.4.2 Discrete choice models
4.4.3 Pooled time-series and cross-section models
4.4.4 Simultaneous equations models
4.5 Spatial econometrics
4.5.1 Spatial dependence
4.5.2 Spatial heterogeneity
4.6 The ‘art’ of econometric model building
4.7 Fusion of econometrics and input-output: some editorial remarks
Endnotes
References
5. Programming and industrial and urban complex analysis
5.0 Introduction
5.1 A simple linear programming problem: a graphic solution
5.2 Basic aspects of nonlinear programming
5.2.1 Introduction of multiple types of constraints
5.3 Industrial complex analysis as interregional programming
5.4 Urban and other complexes
5.5 Concluding remarks
Endnotes
References
6. Gravity and spatial interaction models
6.0 Introduction
6.1 A simple probability point of view
6.2 Definition and measurement of mass
6.3 Definitions and measures of distance
6.4 Functional forms for spatial separation
6.5 Constrained gravity (spatial interaction) models
6.6 Calibration, tests and applications of spatial interaction models
6.6.1 The use of OLS (ordinary least squares) to test the effect of distance, cooperation and hostility upon trade of nations
6.6.2 The use of maximum likelihood in a policy oriented application with particular attention to characteristics of origins, destinations and types of distance (separation) measures
6.7 Conclusion
Endnotes
References
7. Social accounting matrices and social accounting analysis
7.0 Introduction
7.1 The overall conceptual framework
7.2 Classification and disaggregation of accounts
7.2.1 Production activities cum commodities
7.2.2 Institutions
7.2.3 Factors of production
7.3 Data requirements in the construction of a SAM
7.4 SAM multiplier analysis and extensions
7.4.1 Unconstrained multipliers
7.4.2 Constrained multipliers
7.4.3 Structural path analysis and transmission of economic influence within the SAM framework
7.4.4 SAM as the foundation of computable general equilibrium models
7.5 Studies and applications based on the SAM
7.5.1 General overview
7.5.2 National applications
7.5.3 A regional-interregional application: the two-region Indonesian SAM for 1980
7.5.4 A village application: impact of rural industrialization on village life and economy: a comparison of two Indian village SAMs
Endnotes
References
8. Applied general interregional equilibrium
8.0 Introduction
8.1 A highly simplified model introducing distance and transport inputs as basic variables
8.1.1 The consumption subsystem
8.1.2 The production subsystem
8.1.3 The transport subsystem
8.1.4 The market subsystem
8.2 Transport inputs, location and trade in a two-country world
8.2.1 The consumption subsystem
8.2.2 The production system
8.2.3 The transport subsystem
8.2.4 The market subsystem
8.2.5 The location problem in an applied general interregional equilibrium framework
8.2.6 Some concluding remarks
8.3 The scaffolding of a core social accounting matrix for an applied general interregional equilibrium (AGIE) model
8.3.1 Trade in a two country/three region world: the scaffolding of an interregional (international) input-output core
8.3.2 Extensions to obtain the scaffolding of a core social accounting frame: a top-down approach
8.3.3 Extensions and generalizations to a multi-region, multi-country world
8.3.4 Extensions with a bottoms-up approach to AGIE models
8.3.5 The exploration of a Financial SAM and its fusion with a Real SAM
8.4 Problems and questionable character of the basic assumptions of standard applied general equilibrium models
8.4.1 Problems in representing the consumption subsystem
8.4.2 Questionable character of the production subsystem
8.4.3 Problems regarding scale economies in the transport and production subsystems, externalities, and market imperfections
8.4.4 Questionable character of intertemporal analysis
8.4.5 Problems of capturing behavior of governments, the Rest of the World and feedback sequences
8.4.6 Non-economic factors and other structural shortcomings
8.5 Some seminal contributions by regional scientists to the development of an applied general interregional (AGIE) model for a pure space economy
8.6 Concluding remarks
Appendix 8.1 The basic functions, exogenous magnitudes, variables and equations of the two nation/three region model
Endnotes
References
9. Interregional and spatial microsimulation
9.0 Introduction
9.1 Basic features of microsimulation
9.2 Likely extensions, costs, and other limiting factors in microsimulation
9.3 Applications
9.3.1 Wealth in the United States: family stock ownership and accumulation, 1960-1995
9.3.2 The potential of microsimulation for urban models
9.4 Concluding remarks
Endnotes
References
10. New channels of synthesis: the fusion of regional science methods
10.0 Introduction
10.1 Location analysis for industry and service trades and its fusion with input-output, econometrics and programming
10.2 Channel II. Social accounting analysis and its fusion with applied general interregional equilibrium analysis and other methods
10.3 Channel III. Methods for analyzing urban and metropolitan processes
10.3.1 Fusion centering around gravity and gravity-type models
10.3.2 Fusion centering around urban complex analysis
10.4 Channel IV. On comprehensive syntheses and conflict management
10.5 Conclusion
Appendix: Tables of pairwise comparison and relative weights
Endnotes
References
Index
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