Data di Pubblicazione:
2014
Abstract:
3. SHORTER- RUN CRIMINAL CYCLES IN
COUNTERFEITING
3.1 The Issue and the Data Set
3.1.1 Our peculiar data set
In this part our chapter we deal with the shorter- run cycles relating to the
crimes of counterfeiting of goods. The data on the international diffusion
of counterfeiting are sometimes unreliable and misleading because of
the variety of definitions of the phenomenon. We, in this chapter, work
with a unique data set of monthly data for Italy, disaggregated for the 20
Italian Regions, relating to the investigations of the Italian Fiscal Police
(Guardia di Finanza, GDF) into counterfeiting crimes for the five- year
period 2006–2010.16 The data set includes the monthly number of interventions
in the 20 Regions and their results in terms of goods confiscated
and of individuals indicted. The data are disaggregated in four categories
or subcategories of anti- crime interventions by the GDF: counterfeiting
of ‘Made in Italy’,17 counterfeiting of branded goods,18 counterfeiting of
branded goods in the fashion sector,19 and counterfeiting in relation to the
safety and health requirements of European Union and Italian laws.20
In Table 22.4 we have normalized the data on the population. We do not
have the monthly changes of population. But the changes in the population
between the various years are modest and while in the first years
there is a slight increase, in the last year there is a small decrease. Unlike
in the previous part where we examined the long- run cycles of corruption
and frauds, we shall not consider the cycles of the counterfeiting crimes,
normalized to the population. But this would not significantly change the
fluctuations in the observed values.
COUNTERFEITING
3.1 The Issue and the Data Set
3.1.1 Our peculiar data set
In this part our chapter we deal with the shorter- run cycles relating to the
crimes of counterfeiting of goods. The data on the international diffusion
of counterfeiting are sometimes unreliable and misleading because of
the variety of definitions of the phenomenon. We, in this chapter, work
with a unique data set of monthly data for Italy, disaggregated for the 20
Italian Regions, relating to the investigations of the Italian Fiscal Police
(Guardia di Finanza, GDF) into counterfeiting crimes for the five- year
period 2006–2010.16 The data set includes the monthly number of interventions
in the 20 Regions and their results in terms of goods confiscated
and of individuals indicted. The data are disaggregated in four categories
or subcategories of anti- crime interventions by the GDF: counterfeiting
of ‘Made in Italy’,17 counterfeiting of branded goods,18 counterfeiting of
branded goods in the fashion sector,19 and counterfeiting in relation to the
safety and health requirements of European Union and Italian laws.20
In Table 22.4 we have normalized the data on the population. We do not
have the monthly changes of population. But the changes in the population
between the various years are modest and while in the first years
there is a slight increase, in the last year there is a small decrease. Unlike
in the previous part where we examined the long- run cycles of corruption
and frauds, we shall not consider the cycles of the counterfeiting crimes,
normalized to the population. But this would not significantly change the
fluctuations in the observed values.
Tipologia CRIS:
2.1 Contributo in volume (Capitolo o Saggio)
Keywords:
COUNTERFEITING; criminal cycles; made in Italy
Elenco autori:
Mantovani, Michela; Caputo, M; Forte, F
Link alla scheda completa:
Titolo del libro:
Handbook of Alternative Theories of Public Economics.