Abstract
Background, aim and scope
Assuming that the goal of social life cycle assessment (SLCA) is to assess damage and benefits on its ‘area of protection’ (AoP) as accurately as possible, it follows that the impact pathways, describing the cause effect relationship between indicator and the AoP, should have a consistent theoretical foundation so the inventory results can be associated with a predictable damage or benefit to the AoP. This article uses two concrete examples from the work on SLCA to analyse to what extent this is the case in current practice. One considers whether indicators included in SLCA approaches can validly assess impacts on the well-being of the stakeholder, whereas the other example addresses whether the ‘incidence of child labour’ is a valid measure for impacts on the AoPs.
Materials and methods
The theoretical basis for the impact pathway between the relevant indicators and the AoPs is analysed drawing on research from relevant scientific fields.
Results
The examples show a lack of valid impact pathways in both examples. The first example shows that depending on the definition of ‘well-being’, the assessment of impacts on well-being of the stakeholder cannot be performed exclusively with the type of indicators which are presently used in SLCA approaches. The second example shows that the mere fact that a child is working tells little about how this may damage or benefit the AoPs, implying that the normally used indicator; ‘incidence of child labour’ lacks validity in relation to predicting damage or benefit on the AoPs of SLCA.
Discussion
New indicators are proposed to mitigate the problem of invalid impact pathways. However, several problems arise relating to difficulties in getting data, the usability of the new indicators in management situations, and, in relation to example one, boundary setting issues.
Conclusions
The article shows that it is possible to assess the validity of the impact pathways in SLCA. It thereby point to the possibility of utilising the same framework that underpins the environmental LCA in this regard. It also shows that in relation to both of the specific examples investigated, the validity of the impact pathways may be improved by adopting other indicators, which does, however, come with a considerable ‘price’.
Recommendations and perspectives
It is argued that there is a need for analysing impact pathways of other impact categories often included in SLCA in order to establish indicators that better reflect actual damage or benefit to the AoPs.
Similar content being viewed by others
Notes
For earlier work on social aspects in LCA, see Benoît and Mazijn (2009); Klöpffer and Udo de Haes (2008); Jørgensen et al. (2008), (2009); Dreyer et al. (2006); Hunkeler (2006); Labuschagne and Brent (2006); Norris (2006); Weidema (2006); Gauthier (2005); Hunkeler and Rebitzer (2005); Schmidt et al. (2004); Klöpffer (2003). The reader may also refer to following sources: Earthster (2008); Flysjö (2006); Grießhammer et al. (2006); Manhart and Grieβhammer (2006); Nazarkina and Le Bocq (2006); Barthel et al. (2005); Méthot (2005); Spillemaeckers et al. (2004)
AoP is a term originally defined in environmental LCA to represent the classes of environmental endpoints that society wants to protect (Udo de Haes et al. 1999)
An assessment will in this article be defined as ‘valid’ if the assessment measures what we intend to measure. An assessment method is valid if it allows for valid assessments. The degree of validity in other words defines the correspondence between reality and the assessment result. Validity is not to be confused with ‘reliability’ which ‘merely’ relates to reproducibility or the degree to which the result will always be the same if the assessment method is applied on the same situation. An assessment method can thereby be highly reliable without being valid whereas the opposite is not possible (Carmines and Zeller 1979).
A question which arises is how we can validly assess social impact pathways. For this to make sense, we have to make a series of assumptions about the social world. First of all, we have to assume that the social world is real and that it can be examined and communicated accurately. If not, it does not make sense to say that an assessment of the social world resembles accurately the reality of the social world. The social world is by other words in this SLCA framework assumed real, measurable, communicable and independent of our measurements.
It does not serve the purpose of this article to discuss these positions towards the nature of the social world in any depth but we will however mention that opposite viewpoints are widespread throughout academia implying that several research paradigms within the social sciences would contest these assumptions. See for example Burrell and Morgan (1979) for a discussion of different research paradigms within the social sciences.
Many different but reasonably related definitions of this construct can be found. See for example Galloway (2006) for an overview.
The mentioned literature deals with several different and closely related constructs. SWB is in some cases mentioned together with the term (subjective) ‘quality of life’, which by some is seen as identical to SWB and by some is seen as a broader construct. This article will utilise experience gained on ‘quality of life’ research without making a distinction between the terms when they are used in reasonably similar ways.
Several studies have been made addressing the consequences of discrimination (Williams (1999), Williams and Williams-Morris (2000)), yet, these studies relate to impacts of racial discrimination experienced in all parts of the everyday life and thus seem in many ways to differ from the impacts that may be suspected to affect children that are not paid as much as their elder colleagues, for example because wage discrimination only relates to the working life and because it only relates to a limited period of the person’s life. Thus simply assuming that the consequences of discrimination are also true for wage discrimination among children seems somewhat dubious.
References
Amin S, Quayes S (2006) Market work and household work as deterrents to schooling in Bangladesh. World Dev 34(7):1271–1286
Barthel L, Wolf MA, Eyerer P (2005) Methodology of life cycle sustainability for sustainability assessments. Presentation on the 11th Annual International Sustainable Development Research Conference (AISDRC), 6th–8th of June 2005, Helsinki, Finland
Basu K, Van PH (1998) The economics of child labor. Am Econ Rev 88(3):412–427
Berger-Schmitt R, Noll H (2000) Conceptual framework and structure of a european system of social indicators’, EU Reporting Working Paper No. 9, Mannheim, Germany. http://www.gesis.org/fileadmin/upload/dienstleistung/daten/soz_indikatoren/eusi/paper9.pdf
Benoît C, Mazijn B (2009) Guidelines for social life cycle assessment of products. UNEP/SETAC Life Cycle Initiative, Druk in de weer, Belgium
Burrell G, Morgan G (1979) Sociological paradigms and organisational analysis. Ashgate Publishing Limited, Aldershot, England
Carley M (1981) Social measurement and social indicators: issues of policy and theory. G. Allen, Boston, USA
Carmines EG, Zeller RA (1979) Reliability and validity assessment: reliability and validity assessments. Sage, Beverly Hills, USA
Cummins RA (2000) Objective and subjective quality of life: an interactive model. Soc Indic Res 52(1):55–72
Cummins RA (2005) Moving from the quality of life concept to a theory. J Intell Disabil Res 49(10):699–706
Diener E, Suh E (1997) Measuring quality of life: economic, social and subjective indicators. Soc Indic Res 40(1–2):189–216
Diener E, Biswas-Diener R (2002) Will money increase subjective well-being? Soc Indic Res 57(2):119–169
Diener E, Lucas R, Oishi S (2002) Subjective well-being: the science of happiness and life satisfaction. In: Snyder CR, Lopez SJ (eds) Handbook of positive psychology. Oxford University Press, New York
Dreyer L, Hauschild M, Schierbeck J (2006) A framework for social life cycle impact assessment. Int J Life Cycle Assess 11(2):88–97
Earthster (2008) www.earthster.org
Edmonds EV, Pavcnik N (2003) Child labor in the global economy. J Econ Perspect 19(1):199–220
Fassa AG, Facchini LA, Dall’Agnol MM, Christiani D (2000) Child labor and health: problems and perspectives. Int J Occup Env Heal 6(1):55–62
Felce D, Perry J (1996) Assessment of quality of life. In: Quality of Life, Volume I: Conceptualization and measurement. American Association on Mental Retardation, Washington DC, US
Flysjö A (2006) Indicators as a complement to life cycle assessment – a case study of salmon. Presentation held 17th of June 2006 in Lausanne
Forastieri V (2002) Children at work: health and safety risks, 2nd edn. International Labour Organisation, Genova, Switzerland
Galloway S (2006) Quality of life and well-being: measuring the benefits of culture and sports: literature review and thinkpiece. Centre for Cultural Policy Research, University of Glasgow. http://www.scotland.gov.uk/Publications/2006/01/13110743/0
Gauthier C (2005) Measuring corporate social and environmental performance: the extended life-cycle assessment. J Bus Ethics 59(1–2):199–206
Grießhammer R, Benoît C, Dreyer LC, Flysjö A, Manhart A, Mazijn B, Méthot A, Weidema BP (2006) Feasibility study: Integration of social aspects into LCA. Discussion paper from UNEP-SETAC Task Force Integration of Social Aspects in LCA meetings in Bologna (January 2005), Lille (May 2005) and Brussels (November 2005). Freiburg, Germany
Hunkeler D (2006) Societal LCA methodology and case study. Int J Life Cycle Assess 11(6):371–382
Hunkeler D, Rebitzer G (2005) The future of life cycle assessment. Int J Life Cycle Assess 10(5):305–308
Ilahi N, Orazem P, Sedlacek G (2001) The implications of child labor for adult wages, income and poverty: retrospective evidence from Brazil, Mimeo, Iowa State University, USA. http://www.grade.org.pe/Eventos/nip_conference/private/sedlacek-%20child_labor%20retros.pdf
ILO (2007) Child labour wages and productivity: results from demand side surveys. International Programme for the Elimination of Child Labour (IPEC) under the International Labour Organisation, Geneva, Switzerland
Jørgensen A, Le-Boqc A, Nazakina L, Hauschild M (2008) Methodologies for social life cycle assessment. Int J Life Cycle Assess 13(2):96–103
Jørgensen A, Hauschild M, Jørgensen MS, Wangel A (2009) Relevance and feasibility of social life cycle assessment from a company perspective. Int J Life Cycle Assess 14(3):204–214
Klöpffer W (2003) Life-cycle based methods for sustainable product development. Int J Life Cycle Assess 8(3):157–159
Klöpffer W, Udo de Haes H (2008) Life cycle sustainability assessment of products (with comments by Helias A. Udo De Haes). Int J Life Cycle Assess 13(2):89–95
Labuschagne C, Brent AC (2006) Social indicators for sustainable project and technology life cycle management in the process industry. Int J Life Cycle Assess 11(1):3–15
Levison D, Richard A, Shahid A, Sandhya B (1996) Is child labour really necessary in India’s carpet industry? Labour market papers 15. Employment Department, International Labour Organisation, Geneva, Switzerland
Manhart A, Grieβhammer R (2006) Social impacts of the production of notebook PCs – contribution to the development of a product sustainability assessment (PROSA). Öko-Institut e.V, Freiburg, Germany
Martel JP, Dupuis G (2006) Quality of work life: theoretical and methodological problems, and presentation of a new model and measuring instrument. Soc Indic Res 77(2):333–368
Méthot A (2005) FIDD: a green and socially responsible venture capital fund. Presentation on the Life Cycle Approaches for Green Investment—26th LCA Swiss Discussion Forum, 2005, Lausanne, Switzerland
Michalos AC (2001) Social indicators research and health-related quality of life research. Soc Indic Res 65(1):27–72
Nazarkina L, Le Bocq A (2006) Social aspects of sustainability assessment: feasibility of social life cycle assessment (S-LCA). EDF 2006, Moret-sur-Loing, France
Norris GR (2006) Social impacts in product life cycles—towards life cycle attribute assessment. Int J Life Cycle Assess 11(1):97–104 (special issue)
Plous S (2003) The psychology of prejudice, stereotyping, and discrimination: an overview. In: Plous S (ed) Understanding prejudice and discrimination. McGraw-Hill, New York, US
Ray R, Lancaster G (2005) The impact of children’s work on schooling: multi-country evidence. Inter Labour Rev 144(2):189–210
Rain JS, Irving ML, Steiner DD (1991) A current look at the job satisfaction/life satisfaction relationship: review and future considerations. Human Relat 44(2):287–307
Schalock RL (1996) Reconsidering the conceptualization and measurement of quality of life. Quality of life, Volume I: conceptualization and measurement. American Association on Mental Retardation, Washington DC, USA
Schalock RL, Brown I, Brown R, Cummins RA, Felce D, Matikka L, Keith KD, Parmenter T (2002) Conceptualization, measurement, and application of quality of life for persons with intellectual disabilities: report of an international panel of experts. American Association on Mental Retardation 40(6):457–470
Schmidt I, Meurer M, Saling P, Kicherer A, Reuter W, Gensch C (2004) SEEbalance—managing sustainability of products and processes with the socio-eco-efficiency analysis by BASF. Greener Manage Int 45:79–94
Sirgy MJ, Michalos AC, Ferriss AL, Easterlin RA, Patrick D, Pavot W (2006) The quality-of-life (QOL) research movement: past, present, and future. Soc Indic Res 76(3):343–466
Spillemaeckers S, Vanhoutte G, Taverniers L, Lavrysen L, van Braeckel D, Mazijn B, Rivera JD (2004) Integrated product assessment—the development of the label ‘sustainable development’ for products ecological. Social and Economical Aspects of Integrated Product Policy, Belgian Science Policy, Belgium
Staines GL (1980) Spillover versus compensation: a review of the literature on the relationship between work and nonwork. Hum Relat 33(2):111–129
Tait M, Padgett MY, Baldwin TT (1989) Job and life satisfaction: a re-evaluation of the strength of the relationship and gender effect as a function of the date of the study. J Appl Psychol 74(3):502–507
Udo de Haes HA, Jolliet O, Finnveden G, Hauschild M, Krewitt W, Müller-Wenk R (1999) Best available practice regarding impact categories in life cycle assessment. Int J Life Cycle Assess 4(2):66–74
Weidema BP (2006) The integration of economic and social aspects in life cycle impact assessment. Int J Life Cycle Assess 11(1):89–96 (special issue)
WHO (1995) The world health organization quality of life assessment (WHOQOL): Position paper from the World Health Organization. Soc Sci Med 41(10):1403–1409
Williams DR (1999) Race, socioeconomic status, and health: the added effects of racism and discrimination. An New York Acad Sci 896:173–188
Williams DR, Williams-Morris R (2000) Racism and mental health: the African-American experience. Ethnic Health 5(3–4):243–68
World Bank (1997) Expanding the measures of wealth: indicators of environmentally sustainable development. Environmentally sustainable development studies and monographs series no. 17. The World Bank, Washington, USA
Author information
Authors and Affiliations
Corresponding author
Additional information
Responsible editor: Andreas Ciroth
Rights and permissions
About this article
Cite this article
Jørgensen, A., Lai, L.C.H. & Hauschild, M.Z. Assessing the validity of impact pathways for child labour and well-being in social life cycle assessment. Int J Life Cycle Assess 15, 5–16 (2010). https://doi.org/10.1007/s11367-009-0131-3
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11367-009-0131-3