Location Conditions, Factors and Decisions: An Evaluation of Selected Location Surveys

Nishioka, Hisao; Krumme, Günter

doi:10.2307/3145282

Cited by 25 publications

(5 citation statements)

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“…Campbell (1958) concludes-on the basis of a survey of manufacturing firms which had moved out of New York City during the period 1947-1955-that space and site considerations dominate, yet taxes play a special role in the businessman's locational decision making, because they offer a clue to the political environment indicating its responsiveness or hostility to the demands of business. Nishioka and Krumme (1973) define two relevant concepts of interest: location conditions and location factors. Location conditions are differences among locations that exist for all industries, while location factors refer to the specific importance that is attached to such differences by individual firms when choosing locations for specific factories.…”

Section: Literature Reviewmentioning

confidence: 99%

An Investigation on the Aggregate Behavior of Firm Relocations to New Jersey (1990–1999) and the Underlying Market Elasticities

Holguín‐Veras

Levinson

et al. 2005

Netw Spat Econ

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This paper reports the key results of an in depth analysis of ten years worth of data about business relocations to the State of New Jersey. The analyses have focused on the key geographic patterns of business relocations, and an econometric investigation of the role of transportation accessibility on the business relocation process. The estimated models focus on explaining the business relocation behavior, as well as the business relocation flows from the original locations to New Jersey.The first model assumes that the probability of a business relocating to a given location in New Jersey is a function of the combined attraction to the economic poles of New York City and Philadelphia. The results obtained suggest the existence of two opposing trends concerning the role played by New York City. The discrete choice models estimated provide additional insights into the role of transportation accessibility, suggesting that the type of economic activity performed by the firm shapes the firm's valuation of accessibility to markets.The paper also studied the role of transportation accessibility as an explanatory variable of the business relocation flows by means of estimating aggregate demand models and destination constrained gravity models. In all cases the authors were able to estimate statistically significant and conceptually valid models that explain the aggregate behavior of the variables under study. These models were estimated for both the total number of relocations (all firms) as well as the major industry types. The resulting models were used to compute the elasticities with respect to accessibility variables. The chief conclusion is that different industry types exhibit different elasticities.In order to do the computations for the elasticities of the gravity model, the authors developed a mathematical formulation. Simply stated, this formulation demonstrates that the elasticity of the spatial interaction between an origin i and a destination j is simply the summation of the elasticities at the production end, and at the destination. The market elasticity is then computed as the weighted average of the elasticities for each of the market segments.

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Section: Literature Reviewmentioning

confidence: 99%

An Investigation on the Aggregate Behavior of Firm Relocations to New Jersey (1990–1999) and the Underlying Market Elasticities

Holguín‐Veras

Levinson

et al. 2005

Netw Spat Econ

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“…The spatial distribution of economic activity and sewer services, access roads to sites, lowhas been the subject of much theoretical study cost financing, and other public services. In during the last 150 years [11,19,20]. The twoaddition, revenues may be foregone as a result state study which provides primary evidence of tax concessions effected through facility for this article is, to the authors' knowledge, lease-purchase contracts.…”

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confidence: 99%

Location Determinants of Manufacturing Industry in Rural Areas

Smith

Deaton

Kelch

1978

J. Agric. Appl. Econ.

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The spatial distribution of economic activity has been the subject of much theoretical study during the last 150 years. The two-state study which provides primary evidence for this article is, to the authors' knowledge, the first attempt to analyze statistically the determinants of industrial location in rural communities with an explicit objective of more enlightened public action at the local, state, and federal levels.

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“…Various researchers (Nishioka and Krumme, 1973;Brown, 1979;Bannister and Stolp, 1995) or financial or other executives (Moriarty, 1980) have identified many location characteristics which are responsible for the efficiency of bank branches or other productive resources. Others use relatively unstructured interviews to obtain information on the circumstances surrounding the choice of location (Schmenner, 1982).…”

Section: Classificationmentioning

confidence: 99%

A Hierarchical Location Model for Locating Bank Branches in a Competitive Environment

Miliotis

Dimopoulou

Giannikos

2002

Int Trans Operational Res

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Recent developments in the provision of banking services are expected to affect the structure and the organization of modern banks significantly. Consequently, it has become necessary for most banks to reorganize their service network. In this context we demonstrate how demand-covering models may be combined with geographical information systems (GIS) to determine the optimal location of bank branches, taking into account the various factors that characterize local conditions within the demand area. The essence of the proposed models is to employ a GIS to represent various criteria concerning the demand for banking services (geographical, social, economic, etc.) as well as the competition in each particular area. This information is then taken into account by appropriate demand-covering models which determine the locations that achieve the maximum capture of the demand. Finally, we present some initial results concerning the application of this approach by a major Greek commercial bank.

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Location Conditions, Factors and Decisions: An Evaluation of Selected Location Surveys

Cited by 25 publications

References 0 publications

An Investigation on the Aggregate Behavior of Firm Relocations to New Jersey (1990–1999) and the Underlying Market Elasticities

An Investigation on the Aggregate Behavior of Firm Relocations to New Jersey (1990–1999) and the Underlying Market Elasticities

Location Determinants of Manufacturing Industry in Rural Areas

A Hierarchical Location Model for Locating Bank Branches in a Competitive Environment

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