Internal and External Matrix Multipliers in the Input-Output Model

Miyazawa, Ken-ichi

doi:10.1007/978-3-642-48146-8_4

Cited by 32 publications

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“…However, despite the recognition of the importance of the input-output model, the results obtained from the application of the original models by Leontief input-output, or input-output model modified by Miyazawa (1966), may underestimate the impacts of activities that comprise the economy of the Brazilian Amazon. Indeed, the results of the Input-Output Matrix have shown relevant when it comes to estimate the multiplier effects of the product, income and employment in an economy.…”

Section: Methodology For Application Of the Social Accounting Matrixmentioning

confidence: 99%

The importance of financial institutions for the development of the Brazilian Amazon: An application of the social accounting matrix

Carvalho

2015

RAE

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The fundamental purpose of this article is intended to measure the economic impacts that the regional financial institutions are providing along the chain of values of the productive activities located in the Brazilian Amazon and their impacts on economic activities through the Social Accounting Matrix. The main conclusion is that to break the status quo in the region, it is necessary to set a national regional development policy that favors the formation of vertically integrated production chains and a trade policy that encourages the export of most products value-added so that the benefits arising can be internalized in the Brazilian Amazon in the form of income and employment.

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Section: Methodology For Application Of the Social Accounting Matrixmentioning

confidence: 99%

The importance of financial institutions for the development of the Brazilian Amazon: An application of the social accounting matrix

Carvalho

2015

RAE

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“…Today these concepts are now commonly defined as backward and forward linkages within the economic supply chain. Key-linkages analysis was developed in parallel with the advancement of inputoutput methods and can be regarded as an important complement to this area of research (Hirschman 1958;Chenery and Watanabe 1958;Miyazawa 1966). Early pioneers in the field of key-linkage analysis such as Chenery and Watanabe (1958) and Hirschman (1958) established the basic methodology and showed how the method could be used to study the structure of economies and for identifying key-sectors.…”

Section: Key-linkages Analysismentioning

confidence: 99%

Exploring Vulnerability and Interdependency of UK Infrastructure Using Key-Linkages Analysis

2015

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It has been argued the UK has experienced significant underinvestment in critical infrastructure over the last two decades. This in turn has resulted in infrastructure that is less capable of assisting the UK economy to grow. This article seeks to undertake an in-depth analysis of the inter-linkages and economic contributions from infrastructure within the UK. It explores the relationship between nine infrastructure sectors and how these sectors contribute to the rest of the UK economy using keylinkage analysis. Each infrastructure sector is shown to be unique in the way it interacts with other economic sectors and in the form of contribution it makes to the economy overall. Infrastructure is found to be a necessary and important part of economic development. The analysis finds that over the last 23 years there has been a decline in the relative economic contribution from infrastructure to UK GVA. Only two infrastructure sectors increased their relative contribution to GVA since 1992. These were the water transport sector and sewerage and sanitary services sector. Railway transport and gas distribution have had the largest relative decline in contribution towards UK GVA with relative contributions decreasing by over 50 % since 1992. The three most important infrastructure sectors contributing to UK GDP are land transport, electricity production and distribution and telecommunications respectively.

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“…where BM,BN are the Miyazawa (1966Miyazawa ( , 1971 internal multipliers and llM,!lN are the external multipliers, for sectors M and N respectively. The matrix:…”

Section: Multipliers and Linkagesmentioning

confidence: 99%

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mentioning

confidence: 99%

An Analysis of Internal and External Linkages of Manufacturing and Non-manufacturing Industries: Application to Chinese Metropolitan Economies

Guo

Sonis

Hewings

1999

Advances in Spatial Science

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In this chapter, the methodology developed for multi-regional economic systems analysis by Miyazawa (1966Miyazawa ( , 1971 and extended by Sonis and Hewings (1993), is directed to an examination of the interdependencies between industry groups within one region rather than the interdependencies between regions. The interactions between some a priori defined strategic industry groups can be revealed by drawing on Miyazawa's concepts of internal and external multipliers and Sonis and Hewings ' (1993) extension to the synergetic interactions of regional sub-systems (see also chapter 2 in this volume). In this way, the dependencies and interdependencies between groups of sectors of an economy can be revealed.The primary focus in this chapter is on measures of intersectorallinkages within and between two different economic production groups, manufacturing and nonmanufacturing, and the impact of external components of final demand on output through these linkages. The structural differences derived from internal and .external multiplier analysis in connection with the two strategic industry group decomposition are revealed, and the impacts of other regions' (as well as other countries') influence, through regional trade (import and export), on the particular region's economic structure and development are identified. This accomplished, it is then possible to link the patterns of regional trade and the identified economic structures to reveal 1) the internal and external linkages of a region's economy; 2) the relative contributions of domestic and foreign demand to growth and structural change of manufacturing and non-manufacturing sectors; and 3) the importance of a region's external economic relationships to its overall economic performance. The results of the empirical analysis, using selected Chinese regional input-output tables, illustrate the new method and the insights that contribute to a comparative analysis of regional economic structure.

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Internal and External Matrix Multipliers in the Input-Output Model

Cited by 32 publications

References 0 publications

The importance of financial institutions for the development of the Brazilian Amazon: An application of the social accounting matrix

The importance of financial institutions for the development of the Brazilian Amazon: An application of the social accounting matrix

Exploring Vulnerability and Interdependency of UK Infrastructure Using Key-Linkages Analysis

An Analysis of Internal and External Linkages of Manufacturing and Non-manufacturing Industries: Application to Chinese Metropolitan Economies

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