Better Cotton has changed farming techniques (behaviors) that in turn, among other social benefits, decreased the amount of water used per hectare when cultivating cotton (climate change adaptation). In addition, in 2021 it set a target of also reducing greenhouse gas emissions per ton of Better Cotton produced by 50% from a 2017 baseline (climate change mitigation). Its primary focus is on fostering voluntary action by the commercial sector, not regulations for the commercial sector, nor consumer communications. A similar approach could be used to increase the sustainability (or other desired traits) of many different commodities that are grown, caught or mined, and then used to manufacture items for sale. Designated in 2024.
Note: To minimize site maintenance costs, all case studies on this site are written in the past tense, even if they are ongoing as is the case with this particular program.
Better Cotton was both a program and a brand. It brought together large global retailers like Adidas, Gap, H&M, and IKEA, as well as NGOs like the Interchurch Organisation for Development Cooperation (ICCO), International Federation of Agricultural Producers (IFAP), Organic Exchange, Pesticides Action Network (PAN) UK and the World Wildlife Fund. Member fees, matched by institutional donors and private foundations, funded capacity building activities to support member farmers collectively face issues like pest management, soil health /soil testing, and fiber protection, as well as social issues like child labor, decent work, sustainable livelihoods, and gender equality.
In 2005, as the World Wildlife Fund led a multi-stakeholder round table process to look at sustainability in various sectors. The Better Cotton Initiative was one of the ideas that emerged, and it quickly drew the support of organizations such as Adidas, Gap, H&M, Interchurch Organisation for Development Cooperation (ICCO), International Federation of Agricultural Producers (IFAP), International Finance Corporation, IKEA, Organic Exchange, Oxfam, Pesticides Action Network (PAN) UK and the WWF. Research and preparation were conducted from 2006 to 2009, including supply and demand market analyses, and an assessment of interest from existing major brands and other potential program delivery partners.
In 2009 the initiative was officially launched, and its first standard was published.
In 2010, Better Cotton entered its implementation stage, focusing first on Brazil, India, Pakistan, and West & Central Africa. The diversity in climate, farm size, agricultural methods and environmental and social conditions supported broader concept testing and refinement for a roll-out in other countries. The same year, for the first time, funding was provided for capacity building.
2011 saw the first harvests of Better Cotton in Brazil, India, Mali and Pakistan. 2012 saw the first harvest in China. By 2019, over 20% of global cotton production was Better Cotton.
The program has been most thoroughly documented in India, which is the second largest cotton-producing country in the world and has had the largest number of farmers participating in the programme (roughly one million farmers by 2022, growing 1.3 million hectares of cotton.)
Objectives included: reducing water and pesticide use, lowering greenhouse gas emissions, increasing yields and farmer profits, and reaching training milestones.
In addition, in 2021 the program set a target of also reducing greenhouse gas emissions per ton of Better Cotton produced by 50% from a 2017 baseline.
Research and preparation were conducted from 2006 to 2009, including supply and demand market analyses, and an assessment of interest from existing major brands and other potential program delivery partners. Further research was conducted in each participating country, involving further stakeholder consultations, field visits and interviews with individuals.
Sustainable livelihood was a key motivator identified through this research. For example, India had about six million farmers who grew cotton for their livelihoods on small plots of land. These farmers were vulnerable to unexpected events affecting their income or assets. In response to such events, they might have had to sell necessities, cut back on food or even send their children to work. Maintaining their livelihood was challenging and was becoming even more so with climate change. Better Cotton could help these farmers tackle these challenges and position themselves in a segment of the market that would continue to thrive and grow.
The research uncovered other key motivators as well, such as crop yields and profits. Better Cotton has proven its ability to increase these. Additional motivators included social benefits like decent work, reductions in child labor, sustainable livelihoods, and improved gender equality.
Common barriers faced by the farmers and their staff included crop pests, poor soil, droughts, cotton fiber degradation, and gender inequality.
Decent Work and Gender Equality in India
India was prioritized for Better Cotton’s activities on decent work, given the extent of related challenges in India and the number of farms already engaged in that country. The program then conducted stakeholder consultations, field visits and interviews with nearly 700 individuals. One of the barriers identified was a lack of clarity among producers regarding age-appropriate work, which led to child labor. This insight was corroborated through licensing assessment findings. This issue was in turn related to the root causes of decent work challenges, such as poverty, limited awareness of rights and lack of voice, particularly among vulnerable populations.
Prioritizing Audiences
Better Cotton prioritized smallholder farmers and vulnerable groups, such as women and low-income households, recognizing their heightened exposure to climate impacts and economic instability. By targeting these groups, the initiative aimed to address the inequities that often leave marginalized communities most at risk in agricultural systems.
Geographically, the program focused on regions facing acute challenges like water scarcity, high pesticide use, and urgent climate adaptation needs, such as parts of India and sub-Saharan Africa. This strategic prioritization ensured that resources and training were directed where they could generate the greatest impact, maximizing sustainability outcomes while promoting equitable access to tools and support. Additionally, these focus areas aligned with the goals of key donors and partners, fostering a collaborative approach to improving both environmental and social resilience in cotton production.
Better Cotton was based on seven guiding principles and criteria:
Farmer Recruitment Strategies
Better Cotton collaborated with local partners and stakeholders to recruit farmers into the program. Through these partnerships, they conducted outreach and training sessions to educate farmers on sustainable practices and the environmental and financial benefits of joining the Better Cotton network. This collaborative approach ensured that recruitment strategies were tailored to local contexts and effectively engaged farming communities.(Financial Incentives; Mass Media; Vivid, Credible, Empowering Communication; Word of Mouth.) Requiring farmers to join the program and commit to its guidelines further strengthened their commitment. (Obtaining a Commitment)
Reducing Barriers Through Capacity Building
Experienced, field-level partners taught these principles and criteria, and supported farmers in implementing the Standard effectively. (Norm Appeals; Vivid, Personalized, Credible, Empowering Communication.) These capacity building efforts were funded through volume-based fees paid by member retailers and brands. Additionally, the program approached institutional donors and private foundations to match the fees contributed by the private sector. This strong financial framework ensured that training and support remained sustainable and impactful.
Building on this foundation, in-country trainers, known as Field Facilitators, played a crucial role in disseminating sustainable farming practices among Better Cotton farmers. They conducted regular training sessions, field demonstrations, and farm visits to ensure farmers understood and implemented Better Cotton standards. (Building Motivation and Engagement Over Time; Overcoming Specific Barriers; Vivid, Credible, Empowering Communication.)
To maintain consistency and quality across diverse regions, Better Cotton employed a comprehensive Assurance Program that included self-assessments, second-party checks, and third-party verification to monitor compliance and provide feedback. This comprehensive approach ensured that farmers consistently met Better Cotton's high standards across diverse contexts.
Complementing the efforts of trainers, local leaders and early adopters of Integrated Pest Management (IPM) served as champions within the community. They acted as peer educators, facilitating the adoption of IPM practices among fellow farmers. Their involvement enhanced the scalability and replicability of sustainable practices within the community, creating a ripple effect that drove widespread adoption of Better Cotton principles. (Norm Appeals; Word of Mouth)
Assurance
Farms and farmer groups had to meet all the core requirements of the Better Cotton Principles and Criteria before being licensed to sell Better Cotton. This involved a combination of assessments by approved third-party verifiers, trained Better Cotton staff members, and the producers themselves (self-assessments), as well as support visits from program partners to engage farmers in continuous improvement. By combining multiple layers of oversight, the program ensured that farmers received the necessary guidance and support to meet these standards. (Feedback; Overcoming Specific Barriers)
Building on this system, Better Cotton's Assurance Program involved independent third-party verification bodies that assessed compliance with the Better Cotton Standard System. These verifiers were accredited by recognized international accreditation bodies to ensure impartiality and competence.
In addition, the program provided systems for segregating and tracking the flow of licensed cotton, to ensure that cotton sold as “Better Cotton” was produced by licensed growers.
Promotion
Many Better Cotton retailers and brand members were major household names with reach and influence across their global supply chains. They encouraged their suppliers to join and source Better Cotton, and communicated their own stories with consumers, creating further interest in and demand for brands such as theirs that supported Better Cotton. (Norm Appeals; Vivid, Personalized, Credible, Empowering Communication)
Better Cotton in India
Volume-based member fees, matched by institutional donors and private foundations, funded capacity building activities.
Better Cotton collected data from all participating medium and large farms. For smaller farms, it generally used data from a representative sample of randomly selected farmers.
The following detail for Better Cotton India highlights the systematic approach used by the program when measuring achievements. Before COVID, it collected data from all farmers in randomly selected groups of farmers (called “Learning Groups”) within each Production Unit. Since then, it collected data from 10 farmers per group (out of 30-40 per group) in each randomly selected group from each Production Unit. About 10% of the Learning Groups were included in each sample.
At the producer unit level, program partners paid Field Facilitators to collect the data from the Farmer Field Books given to the farmers each growing season. The data were first reviewed by the Facilitators with each farmer, then checked by the Producer Unit Manager.
At first, achievements were calculated by comparing Better Cotton farmers with non-participating farmers in the same country. For example, the program’s December 2021 Impact Report evaluated how licensed Better Cotton Farmers in China, India, Pakistan, Tajikistan and Turkey performed on environmental, social, and economic criteria, compared to farmers who weren’t participating in the program. Comparisons could not be conducted for farms in the other participating countries due to confidentiality, data protection, and data sharing restrictions; and in three countries there were too few NON-participating farms to make reliable comparisons.
The program gradually shifted towards ‘longitudinal analysis’, which instead involved comparing the performance of participating farms against past performance. This approach is exemplified in the India Impact Report, 2014-2023.
In 2021, the program published a report, based on assessments from 200,000 farms over three seasons, that identified changes in emissions intensity per metric tonne of lint produced
Assessments by approved third-party verifiers, trained Better Cotton staff members, and the producers themselves (self-assessments), as well as support visits from program partners all contributed feedback towards continuous improvement.
Table One: How Participating Farms Compare with average NON-Participating Farms (within the same country; 2020 report)
The following table summarizes comparison data for member farms vs non-member farms in five participating countries.
|
Indicator |
China |
India |
Pakistan |
Tajikistan |
Turkey |
|
Irrigation water used (cubic meters per hectare) |
-14% |
-10% |
-11% |
-16% |
-2% |
|
Profit (net income per hectare) |
+17% |
+18% |
+35%+ |
NA |
+19% |
|
Yield (cotton harvested per hectare) |
+10% |
+9% |
+12% |
+15% |
+5% |
|
Synthetic Pesticides used (kg per hectare) |
-20% |
-23% |
-12% |
-62% |
-3% |
|
Synthetic fertilizer used (kg per hectare) |
-8% |
-13% |
-16% |
-6% |
-2% |
Impacts – Individual Participants
Table One summarizes comparison data for member farms vs non-member farms in five participating countries.
India 2014-2023
Impacts – Overall
Water Use
Carbon Emissions
Yield
Profitability
Supply Chain Impact
Global Reach and Coverage
Lessons Learned
Reports
Landmark Designation
This case study was written by Jay Kassirer and Yu-Jyuan Ye in 2024 and 2025. The program described in this case study was designated by our Climate Change panel in 2024.
Designation as a Landmark (best practice) case study through our peer selection process recognizes programs and social marketing approaches considered to be among the most successful in the world. They are nominated both by our peer-selection panels and by Tools of Change staff, and are then scored by the selection panels based on impact, innovation, replicability and adaptability.
The Climate Change panel that designated this program consisted of:
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