Spatial fragmentation of industries by functions

Bade, Franz-Josef; Bode, Eckhardt; Cutrini, Eleonora

doi:10.1007/s00168-014-0652-y

Cited by 5 publications

(4 citation statements)

References 48 publications

(60 reference statements)

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“…Several recent studies have found similar trends in other developed countries (see, e.g., Brunelle, 2013, for Canada andBade, Bode, andCutrini, 2015, for Germany). In effect, this implies an increasing specialization by functions and occupations instead of traditional sectoral divisions.…”

Section: This Classifies Cities (Metropolitan Areas Plus Those Counties Not Included In Any Metropolitansupporting

confidence: 59%

The Changing Distribution of Firms and Workers Across Cities

Puga

2017

SSRN Journal

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Section: This Classifies Cities (Metropolitan Areas Plus Those Counties Not Included In Any Metropolitansupporting

confidence: 59%

The Changing Distribution of Firms and Workers Across Cities

Puga

2017

SSRN Journal

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“…At present, the methods used to identify morphological characteristics of industry clusters mainly include (1) the set threshold value, based on expert opinions or experiences, (2) clustering algorithms, e.g., Local Getis-Ord Gi statistic [37], DBSCAN (density-based spatial clustering of applications with noise) [20], (3) the distance-based method, for example, Ripley's K [38], L, and M functions [39,40], and (4) methods based on density contour. Chen and Yu [41] compared the spatial distribution structure of social and economic elements in a city to the undulating terrain surface and introduced the contour tree method [22,37] into urban center recognition.…”

Section: Geographic Distribution and Identification Methodsmentioning

confidence: 99%

Identification and Geographic Distribution of Accommodation and Catering Centers

Han

Song

2020

IJGI

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As the most important manifestation of the activities of the life service industry, the reasonable layout of spatial agglomeration and dispersion of the accommodation and catering industry plays an important role in guiding the spatial structure of the urban industry and population. Applying the contour tree and location quotient index methods, based on points of interest (POI) data of the accommodation and catering industry in Beijing and on the identification of the spatial structure and cluster center of the accommodation and catering industry, we investigated the distribution and agglomeration characteristics of the urban accommodation and catering industry from the perspective of industrial spatial differentiation. The results show that: (1) the accommodation and catering industry in Beijing presents a polycentric agglomeration pattern in space, mainly distributed within a radius of 20 km from the city center and on a relatively large scale; areas beyond this distance contain isolated single cluster centers. (2) From the perspective of the industry, the cluster centers close to the core area of the city are characterized by the agglomeration of multiple advantageous industries, while those in the outer suburbs of the city are more prominent in a single industry. (3) From the perspective of the location quotient of cluster centers, the leisure catering industries are mainly located close to the urban centers. On the contrary, the cluster centers in the outer suburbs and counties are relatively small and dominated by restaurants and fast food industries. Commercial accommodation businesses are mainly distributed in the transportation hub centers and in entertainment and leisure areas.

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“…In order to reach such objectives, at first the occupations were separated in two groups, white-collar occupations and blue-collar occupations, according to Duranton and Puga (2005) and Bade et al (2004;2015). Later, the locational quotient (LQ) was calculated for each occupational group in the industrial sector as a whole and each city size group.…”

Section: Final Commentsmentioning

confidence: 99%

Occupational Employment Pattern and Functional Specialization in the Brazilian Cities

Carneiro

Silva

2020

BARU

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the objective of this paper is to analyze the location pattern of occupational employment in Brazil in 2010, as well as to test of the hypothesis of functional specialization according to the size of Brazilian municipalities and if this specialization changes according to the industrial sector. For this, we used the local Moran's I and the Locational Quotient. The results show that there is significant spatial heterogeneity in the distribution of occupations in the industrial sector in Brazilian municipalities. In addition, the hypothesis of functional specialization in function of the size of the cities and the importance to analyze each sector separately was confirmed. As not all sectors present the same pattern of functional specialization, especially for occupations related to management and R&D activities. These results provide additional information to understand sectoral and occupational structure of regional economies, factors that have a direct influence in the regional growth and development.

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Spatial fragmentation of industries by functions

Cited by 5 publications

References 48 publications

The Changing Distribution of Firms and Workers Across Cities

The Changing Distribution of Firms and Workers Across Cities

Identification and Geographic Distribution of Accommodation and Catering Centers

Occupational Employment Pattern and Functional Specialization in the Brazilian Cities

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