THE LOCATION THEORY OF THE PLANTATION*

ABSTRACT This paper develops a method for studying noninfinitesimal operational units, with the Thünen location and land use model. With constant returns to scale and perfect divisibility of nonland inputs, all operational units would occupy only a point on the landscape. The present model uses increasing returns to scale to generate large operational units, called “plantations” and studies the comparative statics. The setting of the model is an agricultural operation in which some processing of raw crop must be conducted prior to shipment to market. The processing is assumed to have increasing returns to scale.     

REGIONAL LABOR PRODUCTIVITY IN THE NETHERLANDS: EVIDENCE OF AGGLOMERATION AND CONGESTION EFFECTS*

ABSTRACT This paper studies the impact of localization, urbanization, and diversification on regional labor productivity levels and growth. We find substantial effects, accounting for roughly half of the explained variation in the labor productivity differences within the Netherlands in the 1990s. Diversification, urbanization, and localization effects are significant and positive for productivity levels. These levels appear cointegrated. The error correction specification of productivity growth surprisingly reflects negative agglomeration effects. From the theoretical model it follows that congestion effects must have taken precedence over agglomeration effects during this period. Both agglomeration and congestion effects are dampened by job density in neighboring regions. Finally, policy simulations with the estimated model show that spatial concentration is more harmful to national productivity growth than spatial dispersion.     

THE PURE THEORY OF HOUSEHOLD LOCATION AN AXIOMATIC APPROACH*

In this paper, I present an axiomatic basis for the neoclassical model of household location in a monocentric urban area. I generalize the existing framework and demonstrate that many of the conclusions derived using parametric models continue to hold even without the popularly assumed well-behaved utility and transportation cost functions.     

OPTIMUM LOCATION AND THEORY OF THE FIRM UNDER A REGULATORY CONSTRAINT*

This paper attempts to incorporate space in the theory of a regulated firm. It will show that the A-J effects are not affected in a spatial setting. In addition, it will also demonstrate that as the difference between the regulated fair rate of return and the unconstrained profit-maximizing rate of return on capital becomes greater, the optimum location of the regulated firm moves towards the site of the product market, if capital and labor are complements (substitutes) and if marginal transportation costs (with respect to distance) are an increasing (decreasing) function of labor usage.     

THE INTRAMETROPOLITAN DISTRIBUTION OF R&D ACTIVITIES: THEORY AND EMPIRICAL EVIDENCE*

ABSTRACT. The paper presents a first attempt to unveil the underlying determinants of the geography of R&D labs within contemporary metropolises. To this end, the study builds on the premise of contemporary intraurban location and pricing models, suggesting that intraurban variations in property rents must reflect the imputed location preferences of firms or their workforce, as well as the extent to which local institutional constraints hinder these preferences. Against this background, the study proceeds with the econometric analysis of R&D property rent differentials within Greater Los Angeles. The empirical results indicate that access to research and nonresearch universities, transportation access, access to a host of worker amenities, as well as zoning and other local regulations play a critical role in shaping the intraurban geography of R&D labs.     

NESTED FISCAL IMPACT MEASURES USING THE NEW THEORY OF LOCAL PUBLIC GOODS*

In this paper, we use recent advances in the theory of local public goods to develop more-complete measures of the fiscal impacts of population change. Each fiscal impact measure extends the average-cost-based simple multiplier. The service-based impact measure accounts for the public service production function. The local welfare measure further allows the size of the public budget to vary. The global welfare measure additionally introduces interneighborhood substitution of public services. These four nested measures are calculated for police servims in Vancouver. We demonstrate that the commonly used simple multiplier is an unreliable estimator of fiscal impacts.     

SOLVING A THREE-DIMENSIONAL URBAN ACTIVITY MODEL OF LAND USE INTENSITY AND TRANSPORT CONGESTION*

ABSTRACT Recent developments in combining input-output and transportation planning models have made it possible to construct realistic comprehensive urban and regional activity models of land use intensity. These models form the basis for a rigorous approach to studying the interactions among urban activities. However, efficient computational solution methods for implementing such comprehensive models are still not available. In this paper, an efficient solution method for a nonlinear programming urban systems model is developed by combining Evans's partial linearization technique with Powell's hybrid method. The solution algorithm is applied to a small but realistic urban area with a detailed transportation network.     

EMPIRICAL IMPLICATIONS OF ADVANCES IN CANONICAL THEORY*

Canonical correlation has seen growing acceptance in geographical research as a tool for analysing the interrelationships between two sets of variables.¹ It provides a natural extension to the multivariate case of simple correlation analysis introduced into the discipline in the fifties for measuring the degree of areal association between two individual variables.² It has also proved valuable for forging a link between traditional geographic variables measuring the attributes of places and those indicating interactions among them.³ Recently, major developments in canonical theory have occurred which provide two major benefits for geographical research.⁴ First, asymmetrical regression relationships in addition to symmetrical correlation relationships between two variable sets can be determined. Researchers can use canonical regression to examine the degree to which one variable set is capable of predicting the other, in addition to canonical correlation which examines the symmetrical interrelationships between the two.⁵ Secondly, much improved methods are available for measuring the number, strength, and nature of the interrelationships between the two variable sets, and for assessing the adequacy of the canonical model in general.⁸ The purpose of this paper is to provide an overview of these developments and, more particularly, to explore their implications for the validity of empirical results obtained in earlier applications of canonical analysis. This is not intended as a criticism of these studies but rather as an attempt to further our understanding of spatial structure and process through re-examination of existing data in the light of refined techniques.