Rethinking Input-Output Analysis: A Spatial Perspective (Advances in Spatial Science)

Preface of the First Edition
Preface of the Second Edition
Contents
List of Variables and Coefficients
Mathematical Notation
1 Introduction: Importance Interindustry Relations and Overview
	References
2 Basic, Demand-Driven IO Quantity Models
	2.1 Single-Region IO Tables and Their Descriptive Power
	2.2 Mathematics Versus Economics of the Closed Economy IO Model
	2.3 Open Economy Interregional and Multi-regional IO Models
		2.3.1 Separating Trade Origin Ratios and Technical Coefficients
		2.3.2 Underestimation of Interregional Spillovers and Feedbacks
	References
3 Updating Different Types of IO Tables
	3.1 RAS and MR-RAS: Bi- and Multi-proportional Scaling
	3.2 GRAS and MR-GRAS: Including Negative Values
	3.3 CRAS: Advantage of Using Time Series of IOTs
	References
4 From Regional IO Tables to Interregional SU Models
	4.1 Construction of Regional IO Tables: Towards Non-biased Methods
		4.1.1 Most Non-survey Methods Overestimate Intra-regional Multipliers
		4.1.2 CRAS: Advantage of Using Cross Sections of RIOTs
		4.1.3 DE-BRIOT: Advantage of Constructing Bi-regional IOTs
	4.2 Construction of Interregional Supply–Use Tables and Models
		4.2.1 Difficulty of Deriving an IO Model from a Supply–Use Table
		4.2.2 Family of Interregional Supply–Use Tables and Models
	4.3 Difference Between Constructing Interregional and International SUTs
	References
5 From Basic IO and SU Models to Demo-economic Models
	5.1 Interregional Models with Endogenous Household Consumption
	5.2 Further Demo-economic Model Extensions
	5.3 Where to End with Endogenizing Final Demand?
	References
6 Cost-Push IO Price Models and Interaction with Quantities
	6.1 Forward Causality of the Single-Region IO Price Model
	6.2 Interregional IO Price Model with a Price–Wage–Price Spiral
	6.3 Interacting IO Price and Quantity Models: Lower Multipliers
	References
7 Supply-Driven IO Quantity Model and Its Dual, Price Model
	7.1 On the Plausibility of the Supply-Driven IO Quantity Model
		7.1.1 Basic Supply-Driven IO Model: Factories May Run Without Labour
		7.1.2 Type II Supply-Driven IO Model: More Private Cars May Run on Less Gas
	7.2 Revenue-Pull IO Price Model: Its Plausible Dual
	7.3 Markets: Why All Four IO Models Overestimate Their Typical Impacts
	References
8 Negative IO Supply Shock Analyses: When Substitution Matters
	8.1 On the Limited Usability of the IO Model in Case of Supply Shocks
	8.2 Nonlinear SU Programming Alternative: Much Smaller Disaster Multipliers
	8.3 Disaster Reconstruction Phase: Adding the Dynamic Leontief Model
	References
9 Other IO Applications with Complications
	9.1 Key Sector and Linkage Analysis: A Half-Truth
		9.1.1 Analytical and Empirical Comparison of Key Sector Measures
		9.1.2 Cluster and Linkage Analysis for Three Dutch Spatial Policy Regions
		9.1.3 The Mostly Forgotten, Cost Side of the Coin
	9.2 Structural Decomposition Analysis: Another Half-Truth
		9.2.1 Shift and Share Analysis: Impact of Industry Mix
		9.2.2 Structural Decomposition Analysis: A Demand-Side Story
		9.2.3 Growth Accounting: The Other, Supply Side of the Coin
		9.2.4 Solution: Econometric GA with SSA and SDA Components
	References
10 The Future: What to Forget, to Maintain and to Extend
	References
Correction to: Rethinking Input-Output Analysis
	Correction to:  J. Oosterhaven, Rethinking Input-Output Analysis, Advances in Spatial Science, https://doi.org/10.1007/978-3-031-05087-9
Appendix Matrix Algebra for Input–Output Analysis
References