Central place theory and intercommunity input-output analysis

Robison, M. Henry; Miller, Jason R.

doi:10.1007/bf01434596

Cited by 14 publications

(4 citation statements)

References 19 publications

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“…For example, in the work on the Queensland model data to implement region specific econometric consumption functions were not available, so the linkages between the regions were treated in an interregional IO model (Dewhurst andWest 1990, 1991). Advances in MRIO modeling seem to be addressing the high costs associated with the implementation of MRIO models as a number of non-survey MRIO approaches have recently been suggested (Deichmann 1989;Hulu and Hewings 1993;Olson 1998;Robison and Miller 1991). Advances in MRIO modeling seem to be addressing the high costs associated with the implementation of MRIO models as a number of non-survey MRIO approaches have recently been suggested (Deichmann 1989;Hulu and Hewings 1993;Olson 1998;Robison and Miller 1991).…”

Section: Representation Of Multiregional Linkages In Integrated Modelsmentioning

confidence: 99%

Integrated regional econometric+input-output modeling: Issues and opportunities

Rey¹

2000

Papers Reg Sci

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Recent research on integrated econometric+input-output modeling for regional economies is reviewed. The motivations for and the alternative methodological approaches to this type of analysis are examined. Particular attention is given to the issues arising from multiregional linkages and spatial effects in the implementation of these frameworks at the sub-national scale. The linkages between integrated modeling and spatial econometrics are outlined. Directions for future research on integrated econometric and input-output modeling are identified.JEL classification: C51, C67, R15

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Section: Representation Of Multiregional Linkages In Integrated Modelsmentioning

confidence: 99%

Integrated regional econometric+input-output modeling: Issues and opportunities

Rey¹

2000

Papers Reg Sci

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“…Robison and Miller (1991) employ a spatial extension of the supply-demand-pool (SDP) (Schaffer and Chu 1969) nonsurvey I-O modeling technique to estimate trade among places in hierarchically structured regions. In this section we extend that technique, and offer it as a general method for estimating intercommunity trade in rural area community I-O models.…”

Section: Modeling Intercommunity Tradementioning

confidence: 99%

“…Examples from rural regions would include agricultural and other raw materials shipped to higher-order places for processing. Rural economies are simple and normally raw materials trade will have to be obtained from observation rather than technique (Robison and Miller 1991).…”

Section: Non-hierarchical Tradementioning

confidence: 99%

Community input-output models for rural area analysis with an example from central Idaho

Robison¹

1997

The Annals of Regional Science

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In this paper we outline an I-O modeling approach tailored to the needs of rural area analysis. We cover four essential features. First, the rural area I-O model must convey an individual community focus. Second, the household sector must be defined in a manner that specifically captures the great openness of rural community economies. Third, the model should offer a degree of closure that provides an assessment of the community economic base. And finally, the rural community I-O model must be defined to include estimates of intercommunity trade, and intercommunity multiplier effects. Having laid the theoretical foundations, we identify subcounty data sources, and describe a collection of nonsurvey and hybrid approaches for estimating model components. The community I-O approach is illustrated next, with an empirical example from central Idaho. The paper closes with a discussion that considers the implications of community I-O in other contexts, including I-O analysis in less developed countries, and in addressing modeling issues in larger nonrural regions.

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“…Related analyhcal and applied research has dealt with many issues, including the impact of shifting manufacturing and service activities (Miller and Bluestone 1988;BarMey and McNamara 1992;Glasmeier and Substantial progress has also been made in modeling the health, structure, and stability of community economies in rural areas. Here an especially important topic has been the estimation of employment multipliers, which have been shown to depend upon functional specialization (Mulligan and Kim 1991;Mulligan and Fik 1994), intercommunity linkages (Robison and Miller 1991;Robison et al 1993), and hierarchical position (Stabler 1987;Olfert and Stabler 1994).…”

Section: Introductionmentioning

confidence: 99%

Interindustry Employment Requirements in Nonmetropolitan Communities

Mulligan¹,

Vias²

1996

Growth and Change

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Interindustry employment requirements are examined in nonmetropolitan communities ranging in population size between 1,000 and 15,000. A ten-sector economic base model is first used to estimate the demand for nonbasic employment in five different functional types of communities. A new and improved method for community impact assessment is then outlined. Here a distance-weighting procedure is applied to the various type-specific estimates of nonbasic employment so that a composite employment requirements matrix can be calculated for any study community. Finally, postimpact interindustry requirements are decomposed into two effects: preimpact employment requirements plus nonbasic employment shifts reflecting structural change. All estimates and findings are based on the Arizona Community Data Set.

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Central place theory and intercommunity input-output analysis

Cited by 14 publications

References 19 publications

Integrated regional econometric+input-output modeling: Issues and opportunities

Integrated regional econometric+input-output modeling: Issues and opportunities

Community input-output models for rural area analysis with an example from central Idaho

Interindustry Employment Requirements in Nonmetropolitan Communities

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