A micro-simulation model of firms: Applications of concepts of the demography of the firm

Wissen, van Leonardus

doi:10.1007/s101100050039

Cited by 67 publications

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“…We define an establishment as a distinct economic unit that produces goods or services at a single physical location. In contrast, a firm is a legal entity that consists of one or more establishments or plants under common ownership and control (van Wissen, 2000). Thus, it is a newly created establishment that offers job opportunities to members of a given population provided they possess the appropriate skills and desired characteristics.…”

Section: Introductionmentioning

confidence: 99%

Location choices of newly created establishments: Spatial patterns at the aggregate level

Buczkowska

Lapparent

2014

Regional Science and Urban Economics

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in AbstractThis paper explores the problems associated with the location choice of newly created establishments at the aggregate level. Much work has been done in this domain, however, several issues arise when analyzing involved phenomena, which scholars have yet to fully explore: 1) addressing the excess of zeros problem in the location choice model in highly heterogeneous geographic areas and 2) determining an appropriate way to accommodate spatial effects for location decisions. We tested models that include both stocks of preexisting establishments and variables that represent measures of accessibility to the workforce and population, proximity to shops, services, transport infrastructure, availability of land, as well as prices and tax levels.We concluded that an establishment does not act in isolation during its decision-making processes and that it is likely to be influenced by other establishments located nearby. When selecting the appropriate location in which to set up in the market, an establishment may consider not only the characteristics of a particular area, but also the characteristics of neighboring zones. Having estimated 84 nested and non-nested count data models, we found that the hurdle models are preferred for taking into account the presence of excess zeros. Hurdle models offer greater flexibility in modeling zero outcomes and relax the assumption that the zero observations and the positive observations come from the same data generating process. In addition, the paper finds that the models tested with the distance matrix indicate that the incorporation of spatial spillovers leads to an enhancement in the models' performance.

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Section: Introductionmentioning

confidence: 99%

Location choices of newly created establishments: Spatial patterns at the aggregate level

Buczkowska

Lapparent

2014

Regional Science and Urban Economics

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“…When the LUMOS project started in 2008, the initial intention was to build, conform the advice of the international audit committee, a 'full-fledged integrated agent based simulation framework', which would in the long term replace Land Use Scanner. Such a framework could make use of state-of-the-art insights, methods and techniques in spatial modelling, such as micro-simulation, and could enable the simulation of mutual interaction between actors or processes as firm demography (Van Wissen, 2000). A micro-representation of activities in space would also allow feedback processes that take place at a local level to be simulated.…”

Section: Exploring Optionsmentioning

confidence: 99%

Land-Use Modelling in Planning Practice

Koomen¹,

Beurden²

2011

GeoJournal Library

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No part of this work may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical, photocopying, microfilming, recording or otherwise, without written permission from the Publisher, with the exception of any material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work.Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com) ForewordA generation or more ago when land use transport models were first being developed, the focus was on how different models compared with one another in technical and theoretical terms. There was a concern for dynamics, for interaction and for calibration and validation, but less so for how such models might be interfaced with wider planning processes and the stakeholders that operate such systems and are indeed influenced by the plans that emerged from them. The state of the art then consisted of comparative studies of cross-sectional comprehensive spatial interaction model applications catalogued, for example, in the ISGLUTI Project -the International Study Group on Land Use Transport Interaction -and reported in the book by Webster, Bly and Paulley (1988). The dominant focus was very much in terms of the technical performance of models rather than their use in planning or policy-making.As our experience of these models grew and evolved, this focus began to shift to the context in which models were best used. Onto the agenda came ideas about the various tools that had been developed to inform how we might best make good plans, and how these could be stitched together into coherent planning methods. Planning support systems in analogy to decision support in management were first formally suggested over 20 years ago by Britton Harris (1989) in his seminal article Beyond geographic information systems: computers and the planning professional as a way of bridging the development of computer models and tools with the activities of plan-making. Since then, a series of contributions to ways of building this bridge have been forged, the most recent being reported by Brail's (2008) in the collection of papers in his book Planning Support Systems for Cities and Regions. Many of these sketch the wider context and illustrate how a diversity of models and methods are coming together to define appropriate forums for dialogues between model builders, planners and the wider set of stakeholders involved in policy and its implementation.So far we do not have a detailed blow by blow account of building and applying models as part of planning support systems. Until now that is, because this book represents the first such chronology of how a suite of land-use modelling tools called LUMOS -Land Use MOdelling System -which is centred on the Land Use Scanner model with another model Environment Explorer being sometimes v vi Foreword used in parallel, is being fashioned to examine a wide array of different planning issues ranging...

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“…Some of the main points are that firms prefer to stay in their present location if possible (Bade, 1983), fairly significant regional deficiencies are required to induce a firm to move (Van Wissen 2000) and that the main determinates of moving decisions are internal factors (Brouwer et al, 2004). Maoh and Kanaroglou (2007) also found that when most firms moved, they tended to move only a short distance, usually within the same region.…”

Section: Firm Relocationsmentioning

confidence: 99%

An Agent-Based Computational Approach to Explaining Persistent Spatial Unemployment Disparities

McArthur¹,

Thorsen²,

Ubøe

2008

SSRN Journal

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This paper explores possible reasons for persistent spatial unemployment disparities using agent-based computational methods. The method relies on observing the actions of thousands of individuals within an artificial society. The paper models the effect of unemployment insurance, wage disparities, region specific amenities and innate residential preferences on regional labour market interactions, accounting for both migration and commuting. An empirical example of Rogaland county in south-west Norway is given, where unemployment disparities have proved remarkably persistent for decades. The model provides non-trivial insight into the nature of spatial unemployment disparities as well as making a valuable contribution to the policy debate.

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A micro-simulation model of firms: Applications of concepts of the demography of the firm

Cited by 67 publications

References 0 publications

Location choices of newly created establishments: Spatial patterns at the aggregate level

Location choices of newly created establishments: Spatial patterns at the aggregate level

Land-Use Modelling in Planning Practice

An Agent-Based Computational Approach to Explaining Persistent Spatial Unemployment Disparities

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