scholarly journals Inflation Dynamics and Real Marginal Costs: New Evidence from U.S. Manufacturing Industries

2011 ◽  
Author(s):  
Ivan Petrella ◽  
Emiliano Santoro
2021 ◽  
Vol 52 (1) ◽  
pp. 151-178
Author(s):  
Stuart V. Craig ◽  
Matthew Grennan ◽  
Ashley Swanson

2015 ◽  
Vol 13 (1) ◽  
pp. 119-134
Author(s):  
Davor Mance ◽  
Nenad Vretenar ◽  
Jana Katunar

Sixty years ago, Samuelson’s “Pure Theory of Public Expenditure” expounded the classification of goods, and Bain’s “Economies of Scale, Concentration and the Condition of Entry in Twenty Manufacturing Industries” expounded the structure-conduct-performance paradigm. To the present day, rivalry in- and excludability from consumption classify goods, and subadditivity and irreversibility in production classify market structure. Opportunity costs of production in the form of prospective sunk costs incentivise investment and production, and the sunk costs themselves induce subadditivities, specialization and convexity of the marginal rate of technical substitution. Opportunity costs in consumption are determined by the marginal costs of replacement. In light of the recent Nobel price award to Jean Tirole, we revisit some of the forgotten discussions and clarify some of the terminology under a more economic framework of opportunity costs.


2018 ◽  
Author(s):  
Stuart Craig ◽  
Matthew Grennan ◽  
Ashley Teres Swanson

Author(s):  
Dai Yannan ◽  
Alim Al Ayub Ahmed ◽  
Tsung-Hsien Kuo ◽  
Haider Ali Malik ◽  
Abdelmohsen A. Nassani ◽  
...  

Urban Studies ◽  
2020 ◽  
pp. 004209802091215
Author(s):  
Liang Zheng

This article utilises economic census microdata to examine the impact of state-owned enterprises (SOEs) on the employment growth of manufacturing industries in Chinese cities between 2004 and 2008. The main findings show that the presence of SOEs inhibits employment growth in the manufacturing industry. Using the historical landscape of SOEs as an instrumental variable, our findings underscore that the overall impact of SOEs remains negative. This study then explores three potential mechanisms underlying this negative relationship. First, SOEs appear to have no significant impact on knowledge spillovers in their own industry. Second, SOEs tend to hinder the entry of new privately-owned enterprises (POEs) into the marketplace. Third, SOEs are generally less productive than POEs. The article also provides new evidence about dynamic externalities theory: the employment growth rate of manufacturing industries is higher in cities, with a substantial number of rivals in their own industry.


2016 ◽  
Vol 43 (5) ◽  
pp. 863-878 ◽  
Author(s):  
João P. Romero ◽  
John S.L. McCombie

Purpose The purpose of this paper is twofold: to investigate the existence of different degrees of returns to scale in low-tech and high-tech manufacturing industries; and to examine whether the degrees of returns to scale change through time. Design/methodology/approach The empirical investigation implemented in the paper uses data from the EU KLEMS Database, covering a sample of 12 manufacturing industries in 11 OECD countries over the period 1976-2006. The investigation employed two different estimation methods: instrumental variables and system GMM. The robustness of the results was assessed by employing two different specifications of Kaldor-Verdoorn’s Law, by using lags and five-year averages to smooth business-cycle fluctuations, and by dividing the sample into two time periods. Findings The results reported in the paper provide strong evidence in support of the hypothesis of substantial increasing returns to scale in manufacturing. The investigation suggests that high-tech manufacturing industries exhibit larger degrees of returns to scale than low-tech manufacturing industries. Finally, the analysis revealed also that the magnitude of the returns to scale in manufacturing have increased in the last decades, driven by increases in the magnitude of returns to scale observed in high-tech industries. Originality/value No previous work has assessed the hypothesis that increasing returns to scale vary according to the technological content of industries. Moreover, no previous work has used system GMM or data from EU KLEMS to test Kaldor-Verdoorn’s Law. Most importantly, the findings of the paper present new evidence on the degree of returns to scale in high-tech and low-tech manufacturing industries.


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