
This textbook helps students to understand the social, economic, and environmental importance of the mutual relations between industries in the same and in different regions and nations and demonstrates how to model these relations using regional, interregional, and international input-output (IO) models. It enables readers to extend these basic IO models with endogenous household expenditures, to employ supply-use tables (SUTs) that explicitly distinguish the products used and sold by industry, and to use social accounting matrices (SAMs) that detail the generation, redistribution and spending of income. In addition to the standard demand-driven IO quantity model and its accompanying cost-push IO price model, the book also discusses the economic assumptions and usefulness of the supply-driven IO quantity model and its accompanying revenue-pull IO price model. The final chapters highlight three main applications of the IO model: (1) economic impact analysis of negative supply shocks as caused by, for example, natural disasters, (2) linkages, key sector, and cluster analysis, (3) structural decomposition analysis, especially of regional, interregional, and international growth, and demonstrate the strengths and weaknesses of these IO applications.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 27 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
