Modelling the Emergence of Spatial Patterns of Economic Activity

Yang, Jung-Hun; Ettema, Dick

doi:10.18564/jasss.2100

Cited by 9 publications

(14 citation statements)

References 7 publications

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“…Externality operating across all industrial entities affects the overall spatial scale of a wide area beyond the city scale. It is estimated that externality operating by the industry sector affects the economic activities within the city scale [17]. This step can be summarized with two assumptions: Hypothesis 1 (H1).…”

Section: Model Descriptionmentioning

confidence: 99%

“…If a city is a product of socioeconomic dynamics formed by physical constraints [16], we can assume that its growth is determined by how MAR and Jacobs externalities overcome these constraints [15,17]. If the economic and industrial policy is a function-oriented approach that deals with urban growth, a mathematical basic frame is needed as a starting point to link functions and forms (i.e., to converge economic policies with spatial planning).…”

Section: Introductionmentioning

confidence: 99%

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Modelling the Relationship of Infrastructure and Externalities Using Urban Scaling

Yang

Nam

2022

Sustainability

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A surprising aspect of the agglomeration economy is the lack of attention to the impact on the physical environment. Even in the field of spatial planning, road infrastructure has been built in situations where the consideration of the agglomeration economy is insufficient. The urban scaling proposed by theoretical physicists is an excellent tool to solve this problem but is only at the level of conceptually comparing the index values extracted by individually scaling socioeconomic indicators and urban infrastructure with the population. Accordingly, the frame model scales the urban infrastructure with the number of workers by industry sector and includes a density externality structure so that the agglomeration economy and urban infrastructure can be linked directly. Three experiments were conducted to verify the frame model: first, the Zipf distribution of economic activity found straight lines in large cities, peaks in medium cities and hills in small cities; the cities were categorised by urban size. The second experiment verified that linearisation was due to Jacobs externalities, while the third confirmed that the peak was due to Marshall–Arrow–Romer externalities. Moreover, in distinguishing traditional and modern industries, thresholds of 0.6 in agglomeration and 1.0 in economic interaction were found.

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Section: Model Descriptionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Modelling the Relationship of Infrastructure and Externalities Using Urban Scaling

Yang

Nam

2022

Sustainability

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“…It is analyzed how specialization between regions and the agglomeration of creative activity is influenced by different aspects like the educational system or migration incentives. In [96] the emergence of spatial patterns of economic activity is analyzed from the perspective of firms which grow at different rates, might spawn spin-outs and relocate. The interplay of Marshall and Jacobs externalities with congestion effects is captured in an agent-based multi-level, multi-scale model.…”

Section: An Agent-based Perspective On New Economic Geography Models mentioning

confidence: 99%

Spatial Interactions in Agent-Based Modeling

Ausloos¹,

Dawid

Merlone

2015

Dynamic Modeling and Econometrics in Economics and Finance

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Agent Based Modeling (ABM) has become a widespread approach to model complex interactions. In this chapter after briefly summarizing some features of ABM the different approaches in modeling spatial interactions are discussed. It is stressed that agents can interact either indirectly through a shared environment and/or directly with each other. In such an approach, higherorder variables such as commodity prices, population dynamics or even institutions, are not exogenously specified but instead are seen as the results of interactions. It is highlighted in the chapter that the understanding of patterns emerging from such spatial interaction between agents is a key problem as much as their description through analytical or simulation means.

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“…It is analyzed how specialization between regions and the agglomeration of creative activity is influenced by different aspects like the educational system or migration incentives. In Yang and Ettema (2012) the emergence of spatial patterns of economic activity is analyzed from the perspective of firms which grow at different rates, might spawn spin-outs and relocate. The interplay of Marshall and Jacobs externalities with congestion effects is captured in an agent-based multi-level, multi-scale model.…”

Section: An Agent-based Perspective On New Economic Geography Models mentioning

confidence: 99%