Social impact assessment in LCA using the Preston pathway

被引:85
|
作者
Feschet, Pauline [1 ]
Macombe, Catherine [2 ]
Garrabe, Michel [3 ]
Loeillet, Denis [1 ]
Saez, Adolfo Rolo [4 ]
Benhmad, Francois [3 ]
机构
[1] CIRAD, UPR Syst Prod Bananes, F-34398 Montpellier 5, France
[2] Cemagref Irstea, UMR ITAP ELSA, F-34196 Montpellier 5, France
[3] Univ Montpellier I, UMR Art Dev, F-34960 Montpellier 2, France
[4] CIRAD, UMR SELMET, Stn Ligne Paradis, F-97410 St Pierre, France
来源
关键词
Banana; Cameroon; Health; Pathway; Preston curve; Social LCA; ECONOMIC-DEVELOPMENT; CHANGING RELATION; HEALTH; LIFE; MORTALITY; GROWTH; WEALTH; INCOME; LEVEL;
D O I
10.1007/s11367-012-0490-z
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The purpose of the social Life Cycle Assessment (LCA) method is to predict the social impacts on people caused by the changes in the functioning of one product chain throughout its life cycle. Changes in health status are very important experiences for people. The aim of this paper is to build a pathway between changes in economic activity generated by the functioning of a product chain and the changes in health status of the population in the country where the economic activity takes place. Empirical and historical factors suggest that increased economic activity through growth in income leads to improvements in the health of a country's population. This empirical relationship is well known in economics as the Preston curve. Using this relationship, we design a pathway for social LCA impact assessment. This pathway may be used to explain or predict the potential impact caused by the modification of one product sector upon the health of a population. The Preston relationship usually is calculated for a cross section of countries. We assess whether the Preston relationship is valid when a single country is considered alone. Drawing from scientific literature regarding development, we define the context where the use of the Preston relationship is justified. We describe the general design of the Preston pathway, using a recalculated (panel based) relationship, and specify the conditions for its use. We apply it to the case of company B, a banana industry in Cameroon, for the period between 2010 and 2030. We highlight that the panel calculation of the Preston relationship remains significant when a country is considered alone. We suggest that the following conditions are required for the pathway to be used: (1) the activity is set within countries where the GDP per capita in purchasing power parity is less than $10,000 at the start of the period, (2) the assessed activity accounts for a significant part of the annual GDP and/or demonstrates obvious signs that it represents a huge stake in the country's economy, (3) the duration of the assessed activity is regular and long enough, and (4) the added value created by the activity is shared within the country. We found that the future activity of company B would improve the potential LEX of the entire population of Cameroon by 5 days over 20 years, based on 200,000 t of bananas exported annually (in comparison with no activity). When the four conditions for use are met, and provided results are interpreted by comparing them with other situations or countries, the recalculated panel-based relationship may be used to explain or predict a change in potential life expectancy generated by a change in economic activity. The Preston pathway may be useful for impact assessment in social LCA. The assessment is valid only when used for a comparative analysis and must be done within a multi-criteria framework. Complementary pathways therefore need to be designed. We suggest that the conditions for use and other research issues be discussed and fine-tuned further. Moreover, we welcome comments and criticisms.
引用
收藏
页码:490 / 503
页数:14
相关论文
共 50 条
  • [1] Social impact assessment in LCA using the Preston pathwayThe case of banana industry in Cameroon
    Pauline Feschet
    Catherine Macombe
    Michel Garrabé
    Denis Loeillet
    Adolfo Rolo Saez
    François Benhmad
    The International Journal of Life Cycle Assessment, 2013, 18 : 490 - 503
  • [2] LCA impact assessment: Case study using a consumer product
    Owens, J. William
    International Journal of Life Cycle Assessment, 1996, 1 (04): : 209 - 217
  • [3] Environmental Impact Assessment of Agricultural Production Using LCA: A Review
    Alhashim, Rahmah
    Deepa, Raveendranpillai
    Anandhi, Aavudai
    CLIMATE, 2021, 9 (11)
  • [4] Environmental impact assessment of salmonid feeds using Life Cycle Assessment (LCA)
    Papatryphon, E
    Petit, J
    Kaushik, SJ
    van der Werf, HMG
    AMBIO, 2004, 33 (06) : 316 - 323
  • [5] Approaches to valuation in LCA impact assessment
    Powell J.C.
    Pearce D.W.
    Craighill A.L.
    The International Journal of Life Cycle Assessment, 1997, 2 (1) : 11 - 15
  • [6] Application of the impact pathway analysis in the context of LCA
    Krewitt W.
    Mayerhofer P.
    Trukenmüller A.
    Friedrich R.
    The International Journal of Life Cycle Assessment, 1998, 3 (2) : 86 - 94
  • [7] The environmental impact assessment of wheat and barley production by using life cycle assessment (LCA) methodology
    F. Fallahpour
    A. Aminghafouri
    A. Ghalegolab Behbahani
    M. Bannayan
    Environment, Development and Sustainability, 2012, 14 (6) : 979 - 992
  • [8] A fuzzy logic approach for the impact assessment in LCA
    González, B
    Adenso-Díaz, B
    González-Torre, PL
    RESOURCES CONSERVATION AND RECYCLING, 2002, 37 (01) : 61 - 79
  • [9] The technical feasibility of LCA impact assessment.
    Owens, JW
    1996 TAPPI LIFE CYCLE ASSESSMENT SYMPOSIUM, 1996, : 155 - 193
  • [10] A method for human health impact assessment in social LCA: lessons from three case studies
    Rickard Arvidsson
    Jutta Hildenbrand
    Henrikke Baumann
    K. M. Nazmul Islam
    Rasmus Parsmo
    The International Journal of Life Cycle Assessment, 2018, 23 : 690 - 699