Bibliometric Analysis of the Quantitative Methods Applied to the Measurement of Industrial Clusters

Chain, Caio Peixoto; Santos, Antônio Carlos dos; Castro, Luiz Gonzaga de; Prado, José Willer do

doi:10.1111/joes.12267

Cited by 42 publications

(33 citation statements)

References 109 publications

(205 reference statements)

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“…The K d function is very popular in spatial economics (Chain et al (2019) or see Marcon and Puech (2017) for a review). It is therefore interesting to compare their properties in order to understand the main differences between the two statistical measures.…”

Section: Discussionmentioning

confidence: 99%

Distance-based measures of spatial concentration: introducing a relative density function

2019

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For more than a decade, distance-based methods have been widely employed and constantly improved in spatial economics. These methods are a very useful tool for accurately evaluating the spatial distribution of economic activity. We introduce a new distance-based statistical measure for evaluating the spatial concentration of industries. The m function is the first relative density function to be proposed in economics. This tool supplements the typology of distance-based methods recently drawn up by Marcon and Puech (2017). By considering several simulated and real examples, we show the advantages and the limits of the m function for detecting spatial structures in economics.

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Section: Discussionmentioning

confidence: 99%

Distance-based measures of spatial concentration: introducing a relative density function

2019

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“…Content analysis (bibliometric analysis) was adopted for this study. Thus, Chain, Santos, Junior, and Prado (2019) said that bibliometric analysis is usually applied to knowledge fields that are useful and important for the Vol. 12, No.…”

Section: Methodological Proceduresmentioning

confidence: 99%

A Systematic Literature Review on Mergers and Acquisitions: A Bibliometric Analysis Approach

Osuma

Ikpefan

Olonade³

et al. 2021

IJFR

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Many studies have examined the effects of mergers and acquisitions, but their results vary significantly. Thus, mergers and acquisitions are one of the most popular corporate restructuring activities undertaken by various organizations, institutes, companies (both private and public), agencies, and establishments, all in a quest to achieve the desired aim of the companies. But a pertinent question exists as to if mergers and acquisitions (M&A) have produced the desired goals and objectives of the companies. Therefore this study aims to examine the results, empirical preference, and author's opinions of existing literature as to if M&A had produced synergy gains or not. Bibliometric analysis is the methodological procedure used in this study. A total number of fifty (50) high-profile literatures were qualitatively examined, and it shows that M&A produced synergy gains to the level of 48%. From the analysis, M&A was also found not to produce synergy gain to the level of 28%, thus making the remaining 24% to be associated with authors whose views weren't explicit and those that are undecided to M&A producing synergy gains. This review study recommends that horizontal mergers and acquisitions be encouraged to increase the companies' market share, leading to their desired goals and objectives.

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“…Other issues related to the limits in identifying spatial agglomeration through raw concentration measures have been discussed by Carlei and Nuccio (). And Chain, Santos, Castro, and Prado () have provided a bibliometric analysis of the methods used for the measurement of industrial clusters.…”

Section: Main Limits Of Spatial Concentration Indicesmentioning

confidence: 99%

Measuring spatial concentration: A transportation problem approach

Ferrante

Magno

Cantis

et al. 2020

Papers in Regional Science

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This paper will propose an index for measuring spatial concentration, which is based on the solution of a particular transportation problem. This approach extends a new index proposed for the measurement of seasonality to the spatial case, and it takes into account the level of the concentration of the phenomenon of interest according to its spatial distribution. Various properties of the proposed index, which make it a desirable measure for spatial concentration, will also be described. An empirical application, using data from selected European countries, will be provided, and the results derived from the proposed index will be compared with those derived from currently used indices.

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Bibliometric Analysis of the Quantitative Methods Applied to the Measurement of Industrial Clusters

Cited by 42 publications

References 109 publications

Distance-based measures of spatial concentration: introducing a relative density function

Distance-based measures of spatial concentration: introducing a relative density function

A Systematic Literature Review on Mergers and Acquisitions: A Bibliometric Analysis Approach

Measuring spatial concentration: A transportation problem approach

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