Nonsurvey Techniques for Constructing Regional Interindustry Models

Schaffer, William A.; Chu, Kong

doi:10.1111/j.1435-5597.1969.tb01403.x

Cited by 59 publications

(28 citation statements)

References 4 publications

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“…The inputeoutput coefficients for site preparation were estimated using a simple location quotient (SLQ) technique [40]. Because it was difficult to acquire any exact data regarding biochar production processes, for simplicity, we assumed that the production of biochar, apart from fuel, would result in other inputs of energy production that are similar to those required by the already existing electricity, steam and hot water supply industries.…”

Section: Modified Inputeoutput Model For Socio-economic Impactsmentioning

confidence: 99%

Socio-economic impacts of a local bioenergy-based development strategy – The case of Pielinen Karelia, Finland

Lehtonen

Okkonen

2016

Renewable Energy

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Keywords:Socio-economic impacts Regional inputeoutput modelling Bioenergy Place-based development a b s t r a c tThe regional bioeconomy has great importance for generating socio-economic impacts, especially in sparsely populated resource peripheries. The benefits include increased employment and income and improved security of supply. In this study, the modified regional inputeoutput model of North Karelia, Finland is applied for analysing the socio-economic impacts of a bioenergy-based local development strategy. The results indicate significant socio-economic benefits of a local development strategy based on bioenergy. This benefit is corroborated by approximately 12 million euros in annual income impacts and 280 personnel working years in the district. New stimuli in a currently declining municipality could potentially break negative path dependency. New bioenergy and bioeconomic developments are promising solutions for the construction of place-based regional development in resource peripheries.

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Section: Modified Inputeoutput Model For Socio-economic Impactsmentioning

confidence: 99%

Socio-economic impacts of a local bioenergy-based development strategy – The case of Pielinen Karelia, Finland

Lehtonen

Okkonen

2016

Renewable Energy

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“…In addition to the ''simple'' location quotient (SLQ) method, it includes the purchase-only location quotient (Consad Research Corporation 1967); the cross-industry location quotient, whose development Schaffer and Chu (1969) attribute to Charles Leven; the modified cross-industry location quotient (Morrison and Smith 1974); the semilogarithmic location quotient (Round 1978); and recent variations thereof (Flegg, Webber, and Elliott 1995;Flegg and Webber 2000). However, the empirical evidence suggests that these do not necessarily perform better in terms of accuracy (Morrison and Smith 1974;Bonfiglio 2005;Riddington, Gibson, Anderson 2006).…”

Section: The Lq Methodsmentioning

confidence: 94%

“…Since a number of survey articles on nonsurvey methods are already available, I refrain here from providing yet another survey and instead refer the inclined reader to the contributions by Schaffer and Chu (1969), Richardson (1985), and Tohmo (2004). This stream of literature identifies four different varieties of nonsurvey methods, respectively called location quotient (LQ) methods, the CB or supply-demand pool (SDP), the RAS method, and finally an econometric method presented by Stevens et al (1983).…”

Section: Nonsurvey Methods Of Regionalizationmentioning

confidence: 96%

Construction of Regional Input-Output Tables Using Nonsurvey Methods

Kronenberg

2009

International Regional Science Review

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Regional input-output tables are usually not constructed from survey data but are estimated using nonsurvey regionalization methods, which saves time and money. However, traditional regionalization methods ignore cross-hauling (the simultaneous exporting and importing of one and the same type of product). This flaw results in an underestimation of trade and an overestimation of regional output multipliers. This article presents a new approach based on an estimate of product heterogeneity, which addresses the problem of cross-hauling and is applicable to European System of Accounts tables with indirectly allocated imports. Its application is illustrated by the estimation of a regional input-output table for North Rhine-Westphalia, one of Germany's federal states. The results are compared to the traditional commodity balance approach, indicating that the new method suffers far less from the underestimation of trade and the overestimation of multipliers.

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“…In practice, these assumptions are unlikely to hold. Therefore, several authors have analysed the extent to which LQ-based estimates of regional input coefficients are biased (Schaffer and Chu, 1969;Smith and Morrison, 1974;Round, 1978;Harrigan et al, 1981;Willis, 1987;Harris and Liu, 1998;Tohmo, 2004;Stoeckl, 2012). Typically, the primary emphasis is on the influence of cross-hauling.…”

Section: Non-survey and Partial-survey Methods For Constructing Io Tamentioning

confidence: 99%

Beyond Intermediates: The Role of Consumption and Commuting in the Construction of Local Input–Output Tables

Hermannsson

2016

Spatial Economic Analysis

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Estimating intermediate trade using conventional non-survey methods produces biased results. This problem has led to a methodological recommendation that emphasises the accurate estimation of intermediate trade flows. This paper argues for a qualification of the consensus view: when simulating input-output (IO) tables, analysts need also to consider spill-over effects driven by wage and consumption flows. In particular, for metropolitan economies, capturing wage and consumption flows is essential to obtain accurate Type II multipliers. This is demonstrated by constructing an interregional IO table, which captures the interdependence between a city and its commuter belt, nested within the wider regional economy. JEL Codes: C67; R12; R15; R23.

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Nonsurvey Techniques for Constructing Regional Interindustry Models

Cited by 59 publications

References 4 publications

Socio-economic impacts of a local bioenergy-based development strategy – The case of Pielinen Karelia, Finland

Socio-economic impacts of a local bioenergy-based development strategy – The case of Pielinen Karelia, Finland

Construction of Regional Input-Output Tables Using Nonsurvey Methods

Beyond Intermediates: The Role of Consumption and Commuting in the Construction of Local Input–Output Tables

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