The Role of Returns to Scale and Capital Utilization in Productivity Changes: the Case of Korean Manufacturing

1993 ◽  
Vol 7 (1) ◽  
pp. 95-110 ◽  
Author(s):  
Jung M. Kang ◽  
Jene K. Kwon
Keyword(s):  
Returns To Scale ◽  
Capital Utilization

Firm Size, Innovation, and Market Share Instability: the Role of Negative Feedback and Idiosyncratic Events

2000 ◽  
Vol 03 (01n04) ◽  
pp. 417-431 ◽  
Author(s):  
Mariana Mazzucato
Keyword(s):  
Market Share ◽  
Negative Feedback ◽  
Firm Size ◽  
Returns To Scale ◽  
Evolutionary Model ◽  
Structural Factors ◽  
Technological Opportunity ◽  
Specific Level ◽  
The Relationship

An evolutionary model is built which uses structural and random factors to account for the emergence of market share instability and industry concentration. The structural factors are studied through the relationship between firm size and innovation (dynamic returns to scale) while the random factors are studied through the effect of shocks on this feedback relationship. We find that market share instability is the highest under the negative feedback regime, when the industry specific level of technological opportunity is intermediate, and when shocks are neither very large nor very small.

Market power and returns to scale in farm-value share determination

2019 ◽  
Vol 11 (1) ◽  
pp. 70-78 ◽  
Author(s):  
Ling Ma ◽  
Alexander Nuetah ◽  
Xiuqing Wang
Keyword(s):  
Market Power ◽  
Returns To Scale ◽  
Content Type ◽  
Equilibrium Displacement Model ◽  
Constant Return ◽  
Exogenous Shocks ◽  
Constant Returns To Scale ◽  
Oligopsony Power

Purpose The purpose of this paper is to investigate the role of market power and returns to scale in the determination of farm-value share. Design/methodology/approach This paper utilizes the equilibrium displacement model to investigate the role of market power and returns to scale in the determination of farm-value share. Contrary to the current literature, the paper incorporates oligopoly power, oligopsony power and non-constant return to scale into one generalized model, which systematically enables us investigate the impacts of market power on the determination and changes of farm-value share. Findings The results imply that market power as well as non-constant returns to scale is central to the understanding of farm-value share. These, in turn, indicate that ignoring the impacts of market power and degree of return to scale may overestimate or underestimate the impacts of exogenous shocks on changes in farm-value share. Originality/value Thus, to the best of the authors’ knowledge, no literature has examined the co-existence of oligopsony power, oligopoly power as well as non-constant return to scale in farm-value share determination. This paper therefore tries to fill this gap.

scholarly journals Spatial matching on the urban labor market: estimates with unique micro data

2021 ◽  
Vol 55 (1) ◽  
Author(s):  
Marcin Wozniak
Keyword(s):  
Labor Market ◽  
Returns To Scale ◽  
Spatial Models ◽  
Spatial Relationship ◽  
Spillover Effects ◽  
Spatial Panel ◽  
Spatial Spillovers ◽  
Panel Models ◽  
Matching Process

AbstractIn the paper, we investigate spatial relationship on the labor market of Poznań agglomeration (Poland) with unique data on job vacancies. We have developed spatial panel models to assess the search and matching process with a particular focus on spatial spillovers. In general, spatial models may provide different findings than regular panel models regarding returns to scale in matching technology. Moreover, we have identified global spillover effects as well as other factors that impact the job-worker matching. We underline the role of data on job vacancies: the data retrieved from commercial job portals produced much more reliable estimates than underestimated registered data.

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