Measuring the Economic Impact of Metrological Frauds in Trade Metrology Using an Input-Output Model - Archive ouverte HAL Access content directly
Conference Papers Year : 2016

Measuring the Economic Impact of Metrological Frauds in Trade Metrology Using an Input-Output Model

(1, 2) , (1)
1
2

Abstract

The present study aims to evaluate the economic distortion in trade metrology due to metrological frauds in measuring instruments used in the commerce and industry. The economic distortion represents the economic losses due to measurement deviations in trade. An Input-Output Model approach is carried out in order to determine the economic distortion whenever an output in a process represents the input to another one and it considers the aggregation of values of products traded in the economy. A case test is also conducted using empirical data of measurement errors and metrological frauds in the fuel sector in Brazil in order to determine their economic impact. The results show that the impact of metrological frauds increase the distortion uncertainty from US$ 54,910,307.13 to US$ 303,734,309.35 toward consumers’ losses creating a great asymmetry in the market.
Fichier principal
Vignette du fichier
434863_1_En_74_Chapter.pdf (1.02 Mo) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01615696 , version 1 (12-10-2017)

Licence

Attribution - CC BY 4.0

Identifiers

Cite

Bruno A. Rodrigues Filho, Rodrigo Franco Gonçalves. Measuring the Economic Impact of Metrological Frauds in Trade Metrology Using an Input-Output Model. IFIP International Conference on Advances in Production Management Systems (APMS), Sep 2016, Iguassu Falls, Brazil. pp.624-632, ⟨10.1007/978-3-319-51133-7_74⟩. ⟨hal-01615696⟩
63 View
144 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More