Abstract
A multiple factor analysis is developed to assess the differences in the economic performance and employment levels of social cooperatives in three main geographical areas: North, Central and South Italy, between 2008 and 2011. The results showed that despite the global economic and financial meltdown, the social cooperatives in these areas increased their overall turnover and total assets between 2008 and 2011. Furthermore, the employment data showed a positive trend during this period. The analysis also found that the prolonged crisis in 2010 and 2011 affected mainly the southern regions, where conjunctural factors exacerbated long-term structural deficiencies.
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Notes
In providing job opportunities for disabled people, type B social cooperatives encourage them to work in several fields: agricultural, industrial, construction, etc.
These data warehouse is the result of a research project by the EURICSE, which started at the end of 2009. The project’s main objective is the systematic collection of administrative and statistical archives on Italian cooperatives and their organisation into a consistently updated, integrated database (data warehouse) that allows for the periodic dissemination of statistical reports and research for the benefit of the stakeholders (researchers, practitioners and policy makers).
AIDA is a database created by the Bureau Van Dijk (www.bvdinfo.com); it stores the contact and economic data of more than 950,000 Italian enterprises.
The INPS (www.inps.it) is the main Italian social security institution, where all employees and most of the self-employed who do not have an autonomous security fund and must be insured.
The sector of activity is based on the ATECO2007 code concerning the main economic activity declared by the cooperative to the territorial Chamber of Commerce. For more information, see www.istat.it//strumenti//definizioni//ateco.
This package’s main features are that it can take into account both quantitative and categorical variables and different types of structures within the data (a partition in the variables, a hierarchy in the variables and a partition in the individuals), and it can allow for the introduction of supplementary individuals and variables in the analysis (Lê et al. 2008).
References
Abdi H, Valentin D (2007) Multiple factor analysis. In: Salkind NJ (ed) Encyclopedia of measurement and statistics. Sage, Thousand Oaks, CA, pp 657–663
Accetturo A, Giunta A, Rossi S (2011) The Italian firms between crisis and the new globalization. Bank of Italy Occasional Paper N. 86
Andreaus M, Costa E (2009) La cooperazione sociale in Friuli Venezia Giulia: percorsi di sviluppo del settore, punti di forza e di debolezza [Social cooperatives in Friuli-Venezia Giulia: weakness and strengths]. Impresa Sociale 78(2):185–219
Anheier HK, Hass R, Beller A (2013) Accountability and transparency in the German nonprofit sector: a Paradox. Int Rev Public Admin 18(3):69–84
Austin J, Stevenson H, Skillern JW (2006) Social and commercial entrepreneurship: same, different, or both? Entrep Theory Pract 30:1–22
Banca d’Italia (2012) L’economia delle regioni italiane [Economic developments in the Italian regions]. Economie Regionali [Regional Economies]
Beaubien L, Rixon D (2012) Key performance indicators in co-operatives: directions and principles. J Co-oper Studies 45(2):5–15
Bentivogli C, Viviano E (2012) Changes in the Italian economy: the cooperatives. Bank of Italy Occasional Paper N. 113
Birchall J (2013) Resilience in a downturn: the power of financial cooperatives. International Labour Office, International Labour Organization (ILO), Geneva
Blackwood AS, Roeger KL, Pettijohn SL (2012) The nonprofit sector in brief: public charities, giving, and volunteering. Washington, DC: National Center for Charitable Statistics, Urban Institute Retrieved from http://www.urban.org/publications/412674.html
Borzaga C, Fazzi L (2014) Civil society, third sector, and healthcare: the case of social cooperatives in Italy. Soc Sci Med 123:234–241
Borzaga C, Ianes A (2006) L’Economia della Solidarietà. Storia e Prospettive della Cooperazione Sociale, Donzelli Editore, Roma
Borzaga C, Santuari A (2001) Italy: from traditional co-operatives to innovative social enterprises. In: Borzaga C, Defourny J (eds) The emergence of social enterprises. Routledge, London, pp 166–181
Borzaga C, Carini C, Costa E, Carpita M, Andreaus M (2012) La cooperazione in Italia nel 2008 [Italian cooperatives in 2008]. EURICSE Working Papers N. 26 | 12
Bugamelli M, Cristadoro R, Zevi G (2009) The international crisis and the Italian productive system: a firm-level study. Bank of Italy Occasional Paper No. 58
Caivano M, Rodano ML, Siviero S (2010) The transmission of the global financial crisis to the Italian economy: a counterfactual analysis, 2008–2010. Bank of Italy Occasional Paper N. 64
Carroll JD (1968) A generalization of canonical correlation analysis to three or more sets of variables. In: Proceedings of the 76th Convention of the American Psychological Association, pp 227–228
Chaves R, Monzón JL (2012) Beyond the crisis: the social economy, prop of a new model of sustainable economic development. Serv Business 6:5–26
Cheney G, Cruz IS, Peredo AM, Nazareno E (2014) Worker cooperatives as an organizational alternative: challenges, achievements and promise in business governance and ownership. Organization 21(5):591–603
Costa E, Andreaus M, Carini C, Carpita M (2012) Exploring the efficiency of Italian social cooperatives by descriptive and principal component analysis. Serv Business 6(1):117–136
Dart R, Clow E, Armstrong A (2010) Meaningful difficulties in the mapping of social enterprises. Soc Enterp J 6(3):186–193
Defourny J, Nyssens M (2006) Defining social enterprises. In: Nyssens M (ed) Social enterprise: at the crossroads of market, public policies and civil society. Routledge, New York, pp 3–27
Defourny J, Nyssens M (2010) Conceptions of social enterprise and social entrepreneurship in Europe and the United States: convergences and divergences. J Soc Entrep 1(1):32–53
EACB (2010) European Cooperative Banks in the Financial and Economic Turmoil, Research Paper
Economist (2009) Saving the world, special report on entrepreneurship, 12 March
Escofier B, Pagès J (2008) Analyses factorielles simples et multiples: objectifs, méthodes et interprétation, 4th edn. Dunod, Paris
Fecher F, Chaves R, Monzon JL (2012) Introduction: recent trends in social economy research. Ann Public Cooper Econom 83(3):251–258
Greenacre MJ, Blasius J (2006) Multiple correspondence analysis and related methods. Chapman & Hall/CRC, London
Guzman I, Arcas N (2008) The usefulness of accounting information in the measurement of technical efficiency. Agric Cooper Ann Public Cooper Econom 79(1):107–131
Heras-Saizarbitoria I (2014) The ties that bind? Exploring the basic principles of worker-owned organizations in practice. Organization 21(5):645–665
Hotelling H (1933) Analysis of a complex of statistical variables into principal components. J Educ Psychol 24(417–441):498–520
Husson F, Josse J, Lê S, Mazet J (2007) FactoMineR: factor analysis and data mining with R. R package version 1.04, http://CRAN.R-project.org/package=FactoMineR
ICE Italian Trade Agency (2012) Rapporto 2011–2012 L’Italia nell’economia internazionale [Italy in the international economy—2011–2012 Report]. www.ice.gov.it/statistiche/rapporto20112012.htm
Istat (2008) Le cooperative sociali in Italia–Anno 2005 [Social cooperatives in 2005]. Informazioni n.4, Roma
Istat (2012) Rapporto annuale 2012—La situazione del Paese [2012 report]. www.istat.it/it/archivio/61203
Jolliffe IT (2002) Principal component analysis. Springer Verlag, New York
Julia JF, Chaves R (2012) Introduction: social economy, a third sector in a plural people-oriented economy. Serv Business 6:1–4
Kerlin JA (2006) Social enterprise in the United States and Europe: understanding and learning from the differences. Voluntas 17:247–263
Kyriakopoulos K, Meulenberg M, Nilsson J (2004) The impact of cooperative structure and firm culture market orientation and performance. Agribusiness 20(4):379–396
Lambru M, Petrescu C (2014) Surviving the crisis: worker cooperatives in Romania. Organization 21(5):730–745
Le Roux B, Rouanet H (2004) Multiple correspondence analysis. Quantitative applications in the social sciences, SAGE, Series
Lê S, Jossie J, Husson F (2008) FactoMineR: an R package for multivariate analysis. J Stat Softw 25(1):1–18
Lerman Z, Parliament C (1991) Size and industry effects in the performance of agricultural cooperatives. Eur Rev Agric Econom 6(1):15–29
López-Espinosa G, Maddocks J, Polo-Garrido F (2009) Equity-liabilities distinction: the case for co-operatives. J Int Financ Manag Account 20(3):274–306
Mancino A, Thomas A (2005) An Italian pattern of social enterprise: the social cooperative. Nonprofit Manag Leadersh 15(3):357–369
Marin-Sanchez M, Melia-Martì E (2006) The new European co-operative societies and the need for a normalized accounting in the European Union. Chamard J, Webb T (eds). Proceedings of Symposium on Accounting for Co-operatives, Saint Mary’s University, MMCCU
Monzón-Campos JL and Chaves-Ávila R (2012) The social economy in the European Union, European economic and social committee, Bruxelles: European Union. Retrieved from: http://www.eesc.europa.eu/resources/docs/qe-30-12-790-en-c.pdf
Pagès J (1996) Eléments de comparaison entre l’analyse factorielle multiple et la méthode STATIS [Elements of comparison between multiple factor analysis and STATIS method]. Revue de Statistique Appliquée XLIV(4):81–95
Pasquinelli S (1993) Stato sociale e terzo settore in Italia [Welfare state and third sector in Italy]. Stato e Mercato 38
Pearson K (1901) On lines and planes of closest fit to systems of points in space. Philos Mag 6(2):559–572
Picciotti A, Bernardoni A, Cossignani ML (2014) Social cooperatives in italy: economic antecedents and regional distribution. Ann Public Cooper Econom 85(2):213–231
Salamon LM, Wojciech Sokolowski S, Haddock MA, Tice HS (2013) The state of global civil society and volunteering: latest findings from the implementation of the UN nonprofit handbook. Working Paper No. 49. Baltimore: Johns Hopkins Center for Civil Society Studies
Steinberg R, Powell WW (2006) The nonprofit sector: a research handbook. Yale University Press, New Haven
Thomas A (2004) The rise of social cooperatives in Italy. Voluntas 15(3):243–263
United Nations Statistics Division (2003) Handbook on nonprofit institutions in the system of national accounts. Series F, No. 91,. St/ESA/Stat/Ser.F/91. New York: United Nations
Zamagni V (2012) Interpreting the roles and economic importance of cooperative enterprises in a historical perspective. J Entrep Organ Divers 1(1):21–36
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Appendix 1: Economic efficiency and capitalisation indexes
Appendix 1: Economic efficiency and capitalisation indexes
1.1 Turnover to operating costs
This index aims at understanding the relation between operating expenses and turnover from the business activity.
Situation 1 (≤1): the situation is not sustainable over the medium to long term, as the costs incurred by the cooperative exceed the turnover;
Situation 2 (>1, ≤1.2): the turnover is close to the costs incurred. This class identifies situations in which the cooperative is not able to cover other costs of an extraordinary nature, and financial matters or situations where there is no positive surplus to reinvest in the cooperative’s activity for further growth.
Situation 3 (>1.2, ≤1.4): situations in which the cooperative saves between 20 and 40 % of the turnover. This surplus could be eroded by the coverage of any extraordinary financial costs.
Situation 4 (>1.4): the cooperative saves more than 40 % of its turnover, thus, managing to generate a positive surplus to be used to cover financial costs and the financing of its activities.
1.2 Profit (loss) to turnover
This index measures the cooperative’s self-financing ability. It is not to be understood as an index to evaluate the cooperative’s economic performance, which can be analysed through a joint reading of the profit (loss) and the distribution of wealth to shareholders, through compensation for the services conferred, which vary depending on the sector.
Situation 1 (≤−0.06): cooperatives without economic equilibrium. This type of cooperative reaches its institutional aim through the depletion of its resources, distributing more resources to shareholders than it has available. This situation can result from conditions of internal inefficiency or more correctly, from an incorrect perception of the cooperative’s goals, with an imbalance in institutional purpose at the expense of economic and financial equilibrium.
Situation 2 (>−0.06; ≤0): denotes a slight economic imbalance, sustainable over the short to medium term, but it requires a high degree of attention.
Situation 3 (>0 ≤0.06): probably the most balanced. The cooperative is in equilibrium. The slightly positive operating result may indicate a company’s ability to remunerate its members, or the community for a social cooperative, while strengthening its equity capital.
Situation 4 (>0.06): may at first appear positive but, in reality, may denote a condition of overall ineffectiveness in the company. In other words, in this situation, just as there might be in the first, there is an incorrect perception of the cooperative’s goals, with one stakeholder (in this case, the company itself) prevailing over the other. In this situation, however, the cooperative may be unable to achieve its institutional goal, despite having the economic resources to do so. Therefore, it may move towards a path of decline because of an inability to adequately meet the expectations of shareholders and the community. This is a typical situation representing strategic weakness. However, there are certainly a number of specific situations in which these levels can be considered ideal, especially when, through careful planning, the cooperative aims to increase its equity capital, distributing less wealth to stakeholders, to support a more balanced investment plan.
1.3 Equity to total assets
This index is an indicator of capitalisation. It indicates the extent to which the total assets are covered by equity.
Situation 1 (≤0): negative or non-existent equity. This is a negative and even dangerous situation, regardless of any consideration of the phase of the life cycle, as the cooperative is completely without equity or has a negative net worth, and the debts exceed the value of the total assets.
Situation 2 (>0 ≤0.15): equity is non-existent or very small, compared to total assets. This situation is slightly better than the previous one, but must still be resolved through increased earnings retention for some exercises.
Situation 3 (>0.15; ≤0.35): equity is highly present in the sources of funding.
Situation 4 (>0.35): a highly capitalised company, with a level of funds that can exceed that of the third parties.
For levels 3 and 4, it is necessary to assess the degree of equity in accordance with the actual need for loans, with these characteristics. Often, studies on cooperation are based on the assumption that cooperatives are undercapitalised, but this judgement cannot be separated from the actual need for stable sources of funding. Cooperatives with very elastic structures in terms of total assets, without the expectation of an increase in property, can be safely placed in level 3, leaving level 4 to those cooperatives with more rigid total asset structures or to those that are about to start investment plans.
1.4 Fixed assets to total assets
This is an index of the rigidity of total assets. It is clearly not possible to determine a priori threshold values with which to make a judgement on a balance sheet, as this indicator is closely related to the specificities of the sector and the company’s organisational structure.
The thresholds that are identified only serve to summarise the characteristics of the structure.
Situation 1 (≤0.06): total assets are very elastic, with no significant fixed assets, and therefore, they primarily consist of current assets.
Situation 2 (>0.06, ≤0.22): capital is still very elastic, with a strong prevalence of current assets.
Situation 3 (>0.2, ≤0.45): quite rigid invested capital, with fixed assets representing a major share of the total assets.
Situation 4 (>0.45): rigid total assets, with a prevalence of fixed capital.
These situations are certainly influenced by the sector of activity, organisational structure and corporate policies, and partly also by the cooperative’s life phase. A cooperative in the start-up phase often shows strong rigidity in terms of its total assets, which are often very modest in absolute terms because, in the face of substantial inconsistencies in current assets, there are investments and capitalised costs that are typical of the constitution, which then clearly affect the structure of the total assets.
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Costa, E., Carini, C. Northern and southern Italian social cooperatives during the economic crisis: a multiple factor analysis. Serv Bus 10, 369–392 (2016). https://doi.org/10.1007/s11628-015-0274-1
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DOI: https://doi.org/10.1007/s11628-015-0274-1