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)
210 Macarena Pérez-Suárez · Isidora Sánchez-Torné
4.2. shifT-shaRe analysis
To clarify Section 4.1. and to understand the reason for the evolution of the
number of people working in cooperatives registered with the Social Security,
a Shift-share analysis is carried out to determine the effects caused by the
variation in employment in cooperatives in Spain and its regions. According to
the results of the Shift-share analysis, presented in Table 7 and 8, four trends
can be observed (Table 6).
Table 6. pRemises of CoopeRaTive employmenT.
Period Confirmations
Full period
(2005 - 2020)
There is a negative variation rate in fourteen of the seventeen regions of Spain. Moreover, those
territories that exhibited a growth in employment in cooperatives also did so in the total number
of companies.
Increase in employment in total companies and reduction of employment in cooperatives: An-
dalusia, Extremadura, Galicia, the Balearic Islands, Ceuta, and Melilla. The first three areas show
a positive National and Competitive Effect, but the Dynamic Effect is negative and higher than
the other two, which implies that employment in cooperatives at the regional level is positive but
not enough to counteract the national decreasing dynamics. The second group shows a weak
cooperative sector with negative figures in the Competitive and Dynamic Effect.
Increase in employment in the total number of enterprises and in the cooperatives motivated by
the National and competitive effect: Community of Madrid, Murcia, Navarre, Basque Country.
Thus, this increase was due both to the cooperatives’ own national expansion and to the increase
in cooperative hiring in these regions.
Reduction of employment in total companies and cooperatives: Aragón, Asturias, the Canary Is-
lands, Cantabria, Castile and León, Castilla-La Mancha, Catalonia, Valencian Community, La Rioja,
show a weak cooperative sector with negative figures in the Competitive and Dynamic Effect, in
addition to exceptionally low results in the National Effect.
Pre-financial
crisis period
(2005-2007)
The rate of change was positive for eight regions: Cantabria, Castilla-La Mancha, Catalonia, Valen-
cian Community, Navarre, the Balearic Islands, Community of Madrid, Basque Country.
Increase in employment in total companies and reduction of employment in cooperatives: An-
dalusia, Aragón, Asturias, the Canary Islands, Castile and León, Ceuta and Melilla, Extremadura,
Galicia, Murcia, La Rioja. In this case the negative results are justified through competitive and
dynamic effects, thus revealing the weakness of these cooperatives to increase their workforce.
Increase in employment in total enterprises and increase in employment in cooperatives:
Cantabria, Castilla-La Mancha, Catalonia, Valencian Community, Navarre, the Balearic Islands,
Community of Madrid, Basque Country. All these regions, except Castilla-La Mancha, presented
the same justification: National and positive competitive effect. Thus, the growth of contracts
in cooperatives was due both to the national growth itself and to the increase in cooperative
contracts in these regions. Castilla-La Mancha owes its entire increase to national inertia.
Financial Crisis
Period (2008-
2015)
Four regions show an increase in employment in cooperatives: Andalusia, Ceuta and Melilla,
Navarre, Basque Country.
Increase in employment in the total number of companies and reduction of employment in
cooperatives: Murcia and Navarre show positive figures in their Dynamic and Competitive Effect,
which is evidence of the employment-generating potential of their cooperatives, but the National
Effect is negative and higher.
Increase in employment in total enterprises and cooperatives: Andalusia. This was due to the
Dynamic and Competitive Effect, which highlights the strength of cooperatives in this territory to
generate employment.
Reduction of employment in total enterprises and in cooperatives: Cantabria, Castilla-La Mancha,
Catalonia, Community of Madrid, Extremadura, Galicia, Aragón, Asturias, the Balearic Islands,
the Canary Islands, Castile and León, La Rioja.
Decrease in employment in total companies and increase in cooperatives for the same reasons
as Andalusia: Ceuta and Melilla, Navarre, Basque Country.
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