| Literature DB >> 35905045 |
Jaan-Henrik Kain1, Patrik Zapata2, Adalberto Mantovani Martiniano de Azevedo3, Sebastián Carenzo4, Goodluck Charles5, Jutta Gutberlet6, Michael Oloko7, Jessica Pérez Reynosa8, María José Zapata Campos9.
Abstract
Waste picker organisations (WPOs) around the globe collect, transport and process waste to earn their living but represent a widely excluded, marginalised and impoverished segment of society. WPOs are highly innovative, created by grassroots out of "nothing" to deliver economic, social and environmental sustainability. Still, we do not know how such innovations are developed, and how they are disseminated and adopted by other groups. This article examines characteristics, challenges and innovations of WPOs across five countries in Latin America and East Africa. It is based on quantitative and qualitative data regarding modes of organisation and management, gender, received support, business orientations, environmental and social contributions, and innovations developed in response to multiple challenges. The paper provides a comprehensive understanding of WPOs' activities and their grassroots innovations in the Global South. The study shows how WPOs contribute significantly to the economic, social and environmental sustainability of the societies they serve as well as the wider urban societies. To start and maintain WPOs in informal settlements with a lack of infrastructure, institutional frameworks, and public and private investors is a difficult quest. WPOs take many different organisational forms depending on the complexity of local realities, ranging from advanced collective organization as cooperatives to small self-help groups and microentrepreneurs. Self-organisation into regional and national networks provides economic opportunities, autonomy and stability as well as political influence. Yet, institutional support is fundamental and the lack thereof threatens their existence. Sustaining WPOs as important providers of socio-environmental benefits through governmental and non-governmental actions is a worthwhile undertaking that builds sustainability.Entities:
Mesh:
Year: 2022 PMID: 35905045 PMCID: PMC9337677 DOI: 10.1371/journal.pone.0265889
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.752
Fig 1Types of waste picker organizations across the different countries.
Fig 2Number of participants in the initiatives, including gender composition.
Number of members in blue; number of female members in red. Note that two of the initiatives in Argentina have significantly more members and end up outside the chart: one with 600 members of which 350 are female and one with 3,564 members of which 2,110 are female.
Fig 3Gender of members, leadership groups, and chairperson (president or similar) in waste picker organizations.
Expressed as share of females in %.
Numbers and types of support actions received by initiatives during start-up and currently.
| Country | All support | Support to start the initiative | Present support (2018) | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Quantity/ WPO | Funding | Training | Facilities | Other | Quantity/ initiative | Funding | Training | Facilities | Other | Quantity/ initiative | |
|
| 3,3 | 31% | 31% | 25% | 31% | 1,2 | 25% | 81% | 56% | 50% | 2,1 |
|
| 4,8 | 14% | 90% | 90% | 76% | 2,7 | 48% | 62% | 67% | 29% | 2,0 |
|
| 1,3 | 27% | 19% | 13% | 4% | 0,6 | 19% | 23% | 15% | 6% | 0,6 |
|
| 5,0 | 80% | 90% | 30% | 80% | 2,8 | 50% | 50% | 50% | 70% | 2,2 |
|
| 1,3 | 36% | 39% | 4% | 14% | 0,9 | 11% | 7% | 11% | 4% | 0,3 |
|
| 2,4 | 32% | 43% | 27% | 28% | 1,3 | 25% | 36% | 31% | 20% | 1,1 |
“Quantity/WPO” signifies the mean number of support types received by the initiatives but does not say anything regarding the volume of those support actions. Percentages signify the share of organizations receiving a type of support action.
Range of networking with other initiatives at local, urban, regional, national, and international levels.
| Range of networking | ||||
|---|---|---|---|---|
| Country | Local | Urban region | National | International |
|
| 63% | 0% | 88% | 6% |
|
| 86% | 86% | 95% | 5% |
|
| 44% | 65% | 0% | 0% |
|
| 90% | 0% | 30% | 0% |
|
| 68% | 14% | 0% | 0% |
|
| 63% | 43% | 14% | 2% |
Networking is expressed as the percentage of initiatives engaging in the different types of networks.
Fig 4Types of clients.
Divided into Argentina, Brazil, Kenya, Nicaragua, Tanzania, and All countries.
Prioritized clients.
| Prioritized clients | Diversity of clients Types of clients per initiative | ||||
|---|---|---|---|---|---|
| Prio 1 | Prio 2 | Prio 3 | Prio 1+2+3 | ||
|
| Households (81%) | Shops (31%) | Shops (19%) | Households (88%) | 2.6 |
| Large industries (13%) | Restaurants, hotels (25%) | Schools, hospitals (13%) | Shops (56%) | ||
| Shops (6%) | Households (6%) | Restaurants, hotels (13%) | Restaurants, hotels (38%) | ||
| Large industries (6%) | Large industries (6%) | Large industries (31%) | |||
| Schools, hospitals (13%) | |||||
|
| Households (57%) | Large industries (29%) | Schools, hospitals (14%) | Households (81%) | 4.9 |
| Large industries (29%) | Households (24%) | Local government (14%) | Large industries (62%) | ||
| Schools, hospitals (5%) | Schools, hospitals (5%) | Large industries (10%) | Schools, hospitals (38%) | ||
| Shops (5%) | Shops (5%) | Other (10%) | Local government (24%) | ||
| Other (5%) | Other (5%) | Other (14%) | |||
| Shops (10%) | |||||
| Restaurants, hotels (5%) | |||||
|
| Households (48%) | Schools, hospitals (30%) | Schools, hospitals (20%) | Households (56%) | 2.5 |
| Other (30%) | Households (20%) | Restaurants, hotels (20%) | Other (35%) | ||
| Restaurants, hotels (10%) | Restaurants, hotels (10%) | Restaurants, hotels (33%) | |||
| Large industries (10%) | Large industries (21%) | ||||
| Shops (21%) | |||||
| Schools, hospitals (15%) | |||||
| Local government (2%) | |||||
|
| Households (50%) | Schools, hospitals (30%) | Schools, hospitals (20%) | Households (70%) | 2.1 |
| Other (30%) | Households (20%) | Restaurants, hotels (20%) | Schools, hospitals (50%) | ||
| Restaurants, hotels (10%) | Restaurants, hotels (10%) | Restaurants, hotels (40%) | |||
| Large industries (10%) | Other (30%) | ||||
| Large industries (10%) | |||||
|
| Households (50%) | Restaurants, hotels (25%) | Shops (29%) | Households (68%) | 2.6 |
| Large industries (32%) | Households (18%) | Restaurants, hotels (14%) | Large industries (50%) | ||
| Other (7%) | Other (18%) | Large industries (11%) | Restaurants, hotels (43%) | ||
| Schools, hospitals (4%) | Shops (11%) | Local government (7%) | Shops (43%) | ||
| Restaurants, hotels (4%) | Schools, hospitals (7%) | Schools, hospitals (4%) | Other (29%) | ||
| Shops (4%) | Large industries (7%) | Other (4%) | Schools, hospitals (14%) | ||
| Local government (7%) | |||||
|
| Households (54%) | Restaurants, hotels (19%) | Shops (9%) | Households (68%) | 2.9 |
| Large industries (17%) | Households (13%) | Restaurants, hotels (7%) | Large industries (33%) | ||
| Other (16%) | Schools, hospitals (11%) | Schools, hospitals (7%) | Other (25%) | ||
| Shops (6%) | Large industries (11%) | Large industries (5%) | Shops (24%) | ||
| Restaurants, hotels (4%) | Shops (10%) | Local government (4%) | Restaurants, hotels (30%) | ||
| Schools, hospitals (2%) | Other (7%) | Other (2%) | Schools, hospitals (20%) | ||
| Local government (2%) | Households (1%) | Local government (7%) | |||
Expressed as a percentage of initiatives having clients as first, second and third priority. Clients with zero priority are not listed. The Prio 1+2+3 category is calculated by adding the percentages in the Prio 1, 2 and 3 columns. Note that not all initiatives have listed their second and third priority clients. The diversity of clients is expressed as the mean number of different types of clients per initiative.
Prioritized services.
| Prioritized services | Diversity of services Types of services per initiative | ||||
|---|---|---|---|---|---|
| Prio 1 | Prio 2 | Prio 3 | |||
|
| Collection (75%) | Sorting (50%) | Buying & selling (31%) | Collection (88%) | 4.8 |
| Transportation (6%) | Buying & selling (19%) | Recycling (25%) | Sorting (69%) | ||
| Buying & selling (6%) | Collection (13%) | Sorting (13%) | Buying & selling (56%) | ||
| Sorting (6%) | Transportation (6%) | Processing (13%) | Recycling (38%) | ||
| Recycling (6%) | Processing (6%) | Education (13%) | Processing (19%) | ||
| Recycling (6%) | Transportation (13%) | ||||
| Education (13%) | |||||
|
| Collection (71%) | Sorting (76%) | Processing (48%) | Sorting (95%) | 4.0 |
| Sorting (14%) | Collection (14%) | Buying and selling (38%) | Collection (86%) | ||
| Education (10%) | Processing (5%) | Sorting (5%) | Processing (57%) | ||
| Processing (5%) | Other (5%) | Buying & selling (38%) | |||
| Education (10%) | |||||
| Other (5%) | |||||
|
| Collection (42%) | Dumping/disposal (17%) | Dumping/disposal (17%) | Collection (48%) | 3.0 |
| Buying & selling (35%) | Sorting (10%) | Sorting (10%) | Buying & selling (48%) | ||
| Sorting (6%) | Collection (6%) | Transportation (6%) | Sorting (40%) | ||
| Recycling (6%) | Transportation (6%) | Buying & selling (6%) | Transportation (31%) | ||
| Transportation (4%) | Buying & selling (6%) | Recycling (4%) | Recycling (21%) | ||
| Clean-ups (4%) | Recycling (4%) | Processing (2%) | Dumping/disposal (17%) | ||
| Other (2%) | Processing (2%) | Composting (2%) | Clean-ups (6%) | ||
| Composting (2%) | Education (2%) | Other (6%) | |||
| Education (2%) | Clean-ups (2%) | Processing (6%) | |||
| Clean-ups (2%) | Advocacy (6%) | ||||
| Composting (2%) | |||||
| Education (2%) | |||||
|
| Collection (80%) | Sorting (40%) | Sorting (30%) | Collection (100%) | 3.0 |
| Sorting (10%) | Transportation (30%) | Transportation (20%) | Sorting (80%) | ||
| Recycling (10%) | Collection (20%) | Recycling (10%) | Transportation (50%) | ||
| Recycling (20%) | |||||
|
| Collection (61%) | Sorting (46%) | Processing (21%) | Collection (64%) | 2.5 |
| Sorting (11%) | Transportation (32%) | Dumping/disposal (18%) | Sorting (68%) | ||
| Other (11%) | Collection (4%) | Transportation (14%) | Transportation (54%) | ||
| Transportation (7%) | Processing (4%) | Sorting (11%) | Processing (25%) | ||
| Recycling (7%) | Recycling (4%) | Clean-ups (4%) | Dumping/disposal (18%) | ||
| Buying & selling (4%) | Education (4%) | Other (4%) | Other (14%) | ||
| Recycling (11%) | |||||
| Buying & selling (4%) | |||||
| Education (4%) | |||||
| Clean-ups (4%) | |||||
|
| Collection (59%) | Sorting (42%) | Processing (15%) | Collection (67%) | 3.3 |
| Buying & selling (15%) | Transportation (19%) | Buying & selling (13%) | Sorting (63%) | ||
| Sorting (9%) | Collection (9%) | Dumping/disposal (11%) | Buying & selling (33%) | ||
| Recycling (6%) | Recycling (6%) | Sorting (11%) | Transportation (30%) | ||
| Transportation (4%) | Buying & selling (5%) | Transportation (7%) | Processing (20%) | ||
| Other (3%) | Processing (4%) | Recycling (6%) | Recycling (17%) | ||
| Education (2%) | Advocacy (2%) | Education (2%) | Dumping/disposal (11%) | ||
| Clean-ups (2%) | Other (2%) | Clean-ups (2%) | Other (7%) | ||
| Processing (1%) | Education (1%) | Other (2%) | Education (5%) | ||
| Composting (1%) | Clean-ups (3%) | ||||
| Advocacy (2%) | |||||
| Composting (1%) | |||||
a) First priority; b) Second priority; and c) Third priority. Services with zero priority are not listed. The Prio 1+2+3 category is calculated by adding the percentages in the Prio 1, 2 and 3 columns. The diversity of services is expressed as the mean number of different types of services per initiative.
Types and share of recycled materials.
| Argentina | Brazil | Kenya | Nicaragua | Tanzania | All | |
|---|---|---|---|---|---|---|
|
| Paper (20.3%) | Plastic (16.9%) | Plastic (30.1%) | Paper (20.5%) | Plastic (34.8%) | Plastic (24.7%) |
| Cardboard (20.3%) | Paper (14.6%) | Metal (21.5%) | Cardboard (7.7%) | Metal (19.6%) | Metal (18.2%) | |
| Plastic (20.3%) | Cardboard (14.6%) | Paper (14.0%) | Plastic (25.6%) | No recycling (13.0%) | Paper (15.8%) | |
| Metal (17.4%) | White paper | Organic waste | Metal (20.5%) | Paper (10.9%) | Glass (11.9%) | |
| Glass (11.6%) | (13.5%) | (8.6%) | Glass (25.6%) | Glass (8.7%) | Cardboard (10.4%) | |
| General recyclables(4.3%) | Metal (13.5%) | Glass (6.5%) | Cardboard (6.5%) | White paper (3.9%) | ||
| Textile (4.3%) | Glass (13.5%) | Bones, fish scales (4.3%) | General recyclables(2.2%) | General recyclables(2.7%) | ||
| Tyres, rubber (1.4%) | General recyclables* (4.5%) | Cardboard (2.2%) | Organic waste (2.2%) | Organic waste (2.7%) | ||
| Newspaper (1.1%) | Textile (2.2%) | Electronics (2.2%) | Electronics (2.7%) | |||
| * Includes cooking oil, fluorescent lamps, etc. | Charcoal dust (2.2%) | No recycling (2.1%) | ||||
| General recyclables(1.1%) | Textile (1.5%) | |||||
| White paper (1.1%) | Bones, fish scales (1.2%) | |||||
| Electronics (1.1%) | Tyres, rubber (0.6%) | |||||
| Tyres, rubber (1.1%) | Charcoal dust (0.6%) | |||||
| Saw dust (1.1%) | Saw dust (0.3%) | |||||
| Furniture (1.1%) | Furniture (0.3%) | |||||
| Ash (1.1%) | Newspaper (0.3%) | |||||
| No recycling (1.1%) | Ash (0.3%) | |||||
|
| 4.3 | 4.2 | 1.9 | 3.9 | 1.4 | 2.7 |
The diversity of recyclables is expressed as the mean number of different types of recyclables per initiative.
Challenges perceived by waste picker organizations.
|
| Lack of initial capital and capital to grow, lack of trust of financial institutions to get loans. |
| Machines donated often are not the solution: do not fit local requirements and are abandoned or break down. | |
| Lack of necessary facilities (storage, causing environmental pollution), transportation, machines, tools. | |
| Formalisation, lack of official documents (certifications, permits). | |
|
| Commercialization (initial lack of knowledge of retailers, sales of materials, supply chain, low bargaining power, market price fluctuation, low profit rates). |
| Lack of technical, political, legal or financial incentives to expand the range of recycled materials. | |
| Competition both between groups and with large companies, including the threat of large-scale incineration. | |
| Waste collection customers in low-income settlements are not paying. | |
|
| Precarious working conditions, high member turnover, governments not honouring service contracts. |
|
| Legislation/illegality (impeding certain activities), polyethylene bag ban in Kenya (withdrawing a recyclable), police persecution, harassment, bribes. |
|
| Internal conflicts, lack of trust, lack of group cohesion, lack of experience in administration, conflicts in leadership, bad leadership, bad management, absenteeism, lack of transparency, culture of working solo and lack of experience of collective management. The same individuals tend to remain in leadership positions. |
|
| Insufficient inclusion of women. |
| Unequal distribution of benefits, funds. | |
| Conflicts within and between groups. | |
| Alcoholism. | |
|
| Lack of environmental awareness (illegal dumping). |
|
| Knowledge and capacities (e.g. to treat machines, to reach retailers). |
| Lack of advocacy skills. | |
| Stigmatisation and prejudice, specifically associated with child labour. | |
| Society’s lack of knowledge about waste pickers and waste. | |
| Animal cruelty. |
A summary of identified innovations through interviews by country and type of innovation.
| Argentina | Brazil | Kenya | Nicaragua | Tanzania | |
|---|---|---|---|---|---|
|
| Research and Development on non-marketable recyclables (design of processes and machinery to transform non-marketable plastics and cellulose materials into marketable recyclables). | Identification and processing of new materials. | Processing materials (e.g. reuse of charcoal dust in briquettes). | New products (jewellery). | Processing machines for added value and transformation of materials (e.g. crushing machines). |
|
| R&D about non-marketable materials allows to add value to those materials (Expanded polystyrene, Doy pack and beer labels) which otherwise would not have value, destined for the landfill. They are key to validate the waste picker cooperatives as professional service providers to large manufacturers, as they address the "cradle-to-cradle" traceability not only of regular ‘recyclables’ (cardboard, PET, paper) but also for ‘non-marketable’ waste, which otherwise is landfilled. | Collective commercialization between networks of waste picker cooperatives. Floating capital to enable collective sales. | Community clean-ups (as a marketing and educational tool). Using youths for door-to-door sensitization. | Partnerships between large beverage corporations for waste collection of e.g. glass, as part of a reverse logistics system. | Selling to larger retailers. |
|
| Official contracts between coops and companies, backed by the environmental authorities. | Participatory decision making, self-management, transparency and full access to all information by all members. | Training in bookkeeping, team building, group management. | Internal management, learning collective interests, unity, self-organization. | Distributed leadership, participatory management (e.g. UWAWABU community group), shared management with the local government whenever waste pickers were provided contracts by the government. |
|
| Alliance with NGOs and authorities. | Contracts between local government and waste picker cooperatives (e.g. Ourinhos, Mauá, Ribeirão Pires) for selective waste collection. | Training and capacity building in partnership with NGOs, universities and governmental agencies. | Partnership with local government and private companies (e.g. waste transportation by boat). | Alliances with formal small and medium-sized enterprises in providing transportation and other services. |
|
| Redefinition of which materials are socially considered ‘recyclable’ and which not. | Creating low barrier work opportunities. | Improving financing opportunities through table banking. | Generating income for women. | Offering lunch, food, accommodation, loans for members. |
|
| The Research and Development praxis on this material involves a complex knowledge co-production, which is derived from waste pickers themselves. | Support and capacity building (e.g. accounting) through Instituto Catasampa and Rede Cata Vida. | Self-learning (identifying products and markets). | Mapping and surveying waste pickers and WPOs, as part of a recruitment process by the Nicaraguan Waste Picker Organization RedNica. | Training members in customer service. |