Working with the Social Hotspot Database

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Transcription:

Working with the Social Hotspot Database Catherine Benoit- Norris, Deana Aulisio, Gregory A. Norris Ökobilanz- Werksta0, Aachen, Germany

Social Life Cycle Assessment (S-LCA) is a technique to assess the social and socio-economic impacts over entire supply chains. The Guidelines recommend to carry Life Cycle Attribute Assessment to inform hotspots identification and provide an alternative way to present results Site-specific field evaluations are then determined based on labor intensity, severity of issues, and level of risk.

" First comprehensive data resource for Social Life Cycle Assessment: Eases inventory data collection efforts reduce time & cost " It provides the Life Cycle Inventory data used in LCA to conduct hotspots assessment. " The wealth of information put together (more than 40 000 data points) contributes to advance the knowledge on social issues data availability worldwide. " The database information create a baseline that can also be used to put the site specific impacts or companies SR programs implemented, in perspective

" 18 themes and 20 tables (and growing) and over 60 indicators related to Human Rights, Labour Rights and Decent Work, Governance, Access to Community Services " Provide data for all UNEP Subcategories that can be assessed at the generic level " For over 113 countries and 57 sectors (data 191, model 113 countries) " More than a 100 publicly available secondary sources of information used " Gaining knowledge on important data gaps/ countries missing and sector information

Where are the people in my supply chain/unit processes? Worker hours by country-specific sector (CSS) Prioritize the CSS by those with greatest share of worker hours What are the specific risks to consider and opportunities available to improve the situation? SHDB tables What share of worker hours in supply chain has? social issues of concern (ie., hotspots) attributes of interest complete data

Currently in Database Labor Laws/Conventions Wage Assessment Population living in Poverty Child Labor Forced Labor Excessive Working Time Freedom of Association, Collective Bargaining, Right to Strike Legal System Indigenous Rights Gender Equity High Conflict Zones Children Out of School Access to Improved Drinking water Access to Improved Sanitation Access to Hospital Beds NEW Unemployment Health Issues Smallholder vs. Commercial Farms Injuries and Deaths in the Workplace Migrant Workers Toxics in the Workplace Corruption Intellectual Property Rights / Traditional Knowledge

Data driven approach Review of data source available Does it make sense to assess the theme at sector level? Choice of best available data Development of characterization methods - distribution

Comprehensiveness (# country and sectors for which data is available) Legitimacy of the data source Reliability of method(s) used to collect data by the source Quantitative indicators Data capture well the theme investigated

www.socialhotspot.org

Highlight social hotspots in product supply chain using Social Hotspot Database (SHDB) and literature review Model two lists of country-specific sectors (CSS) in SHDB Literature review of supply chain (Process tree and trade data) Worker hours assessment based on GTAP Perform extensive lit review on social issues Gather info on relevant media campaigns, initiatives, certifications & labeling, and audit data if available Determine countries and sectors most at risk and for what social issues

Completed 7 pilots in 3 sector groups mandated by The Sustainability Consortium Completed 2 other studies for organizations Orange juice, Strawberry Yogurt, Wheat cereal from U.S. Laundry Detergent, Shampoo, Hard Surface Cleaner from U.S. Laptop from China Computer from China Fresh juice mix

LABOR INTENSITY: Worker Hours (WH) Model SEVERITY of ISSUES + LEVEL of RISK: Hotspot Database* Hotspot Index + Influence ECONOMIC INPUT: GTAP Database wages indexed to output INDUSTRY STATISTICS: Wage Rates from ILO, etc Country /Sector Indicators: Working conditions and community impact databases EXTERNAL Literature review Data from outside source Model Developed by New Earth Database developed by New Earth Final Index * Database content:18 social themes including over 60 indicators by country, and sector utilizing >100 publicly available references. Over 150 country specific sector were examined.

Electricity generation and water treatment and distribution in the U.S. is also ranked high, within the top 100.

Sector Vegetable & Fruits Chemical Products Machinery Manufacture Oil Wages Risk of Population living on <$2/day Child labor Risk of Child Labor Forced Labor Risk of Forced Labor Labor Laws Risk of not having Collective Bargaining Rights Country-level Legal System Gender Working Time Overall weakness of Legal System Overall weakness of Gender Equity Excessive Working Time - >48 hours/ week School Risk of Children not attending School total Sector-level Indigenous Wages Potential of Average wage being < Minimum Wage by Sector Potential for Indigenous Rights Infringements by Sector Hotspot Country Index USA 22.6804 n.d. low medium very high medium low low high medium n.e. India 63 very high high high high medium very high high high very high very high China 50.5155 high high high very high high high medium low low very high Mexico 32.0388 medium medium high high high high medium medium low very high Brazil 24.2718 high medium high high high medium low high high n.e. China 51.0638 high high high very high high high medium low low n.e. Venezuela 39 high medium low medium very high medium low high very high n.e. Russia 34 low medium high very high very high medium low high low n.e. China 51.0638 high high high very high high high high low low n.e. Angola 78.6408 very high very high medium high very high very high high very high very high very high Venezuela 42.4528 high medium low medium very high medium low high very high very high Coal China 54.6392 high high high very high high high high low medium very high Gas Turkmenistan 45.6311 very high medium high high very high high medium medium very high very high Electricity USA 23 n.d. low medium very high medium low medium high low very high Water USA 23 n.d. low medium very high medium low medium high low very high

Worker hours pattern vary greatly (concentration vs distribution) by sector Retail, infrastructure and services are often contributing a large share of WH Dichotomy of risk vs worker hours share (example: fuel extraction) Companies needs actionable items Where to start? Literature review confirmed SHDB assessment Need to complement GTAP assessment with trade data on product inputs

Continue to build database (product category level) and improve website (living wage) Encourage/ conduct site specific assessments with results Refine methodology for Hotspot assessment/ Selection of hotspots Investigate methods of uncertainty analysis of database

TSC has been one of the main supporters of the SHDB project and mandated the Product categories reports Other financial support eg. Canadian organizafon ECPAR CMU, UNH, Univ of Ark, Earthster team, Advisory Board Catherine Benoît-Norris, catherine.benoit@earthster.org Deana Aulisio, deana.aulisio@earthster.org