Original Article A comprehensive study of business operations and consumer outreach in the sustainable recycling industry in Ahmedabad INTRODUCTION India’s rapid
industrialisation and increasing consumerism have significantly contributed to
textile waste generation. UNEP and World Bank studies highlight that the
majority of textile waste ends up in landfills, creating soil and water
contamination, contributing to greenhouse gas emissions, and placing strain on
municipal waste systems. Ahmedabad is a focal point due to: ·
Its
large-scale textile mills and garment clusters, ·
Increasing
fast-fashion consumption patterns, ·
Lack of
organised textile collection infrastructure, ·
High
dependency on informal waste workers. The circular
economy model repair, reuse, recycle represents a key opportunity to reduce
environmental impact. However, the transition to circular fashion is challenged
by fragmentation in supply chains, low automation, limited consumer engagement,
and minimal government intervention at ground level. This study explores both operational processes and consumer outreach efforts that shape the
textile recycling ecosystem. RESEARCH OBJECTIVES and QUESTIONS RESEARCH OBJECTIVES 1)
To study
the operational structure and business models adopted by recycling enterprises
in Ahmedabad. 2)
To
analyses the efficiency and challenges in sourcing, processing, and
distribution of recyclable materials. 3)
To
examine the level of consumer awareness, participation, and behavioral patterns
toward recycling practices. RESEARCH QUESTIONS 1)
How do
recycling businesses in Ahmedabad structure their operations to achieve
sustainability and profitability? 2)
What is
the key operational challenges faced by recycling enterprises in the areas of
logistics, supply chain, and resource management? 3)
What
role do technology, government policies, and collaborations play in promoting
sustainable recycling ecosystems? RESEARCH HYPOTHESES ·
H1: Efficient supply chain management
significantly enhances the scalability and profitability of recycling
enterprises in Ahmedabad. ·
H2: Higher levels of consumer awareness and
accessibility to recycling facilities lead to increased participation in
recycling initiatives. ·
H3: Policy interventions and
government-supported programs positively influence the performance and
innovation of recycling firms. GLOBAL CONTEXT Studies from
Japan, Sweden, and Germany highlight that the success of textile recycling
depends on: ·
Automated
sorting technologies ·
Integration
of digital tracking systems ·
Strong
municipal waste policies ·
Civic
participation frameworks Ellen
MacArthur Foundation (2021) suggests that adopting circular fashion can reduce textile waste by up
to 30–40% globally. INDIAN CONTEXT Indian recycling
is characterised by: ·
Heavy
dependence on informal workers (handling nearly 70% of waste), ·
Lack of
automated sorting and categorisation systems, ·
Minimal
formal incentives for households to recycle textiles, ·
High
contamination of textile waste due to poor segregation. ·
NITI Aayog (2023) highlights that India’s circular textile
potential remains underutilized due to gaps in infrastructure, awareness, and
policy enforcement. AHMEDABAD-SPECIFIC RESEARCH Ahmedabad
contributes significantly to India’s textile footprint. AMC reports indicate: ·
Growing
volume of pre- and post-consumer waste, ·
Limited
textile-specific recycling facilities, ·
Absence
of community-level textile collection points. There is almost no
peer-reviewed research on startups like Re-Verse Green Clothing, indicating a
major academic gap. CONSUMER BEHAVIOUR STUDIES Past studies
conclude: ·
Awareness
does not equate behavioural action ("awareness–action gap"). ·
Convenience,
trust, and incentives are major behavioural drivers. ·
Gen Z
and millennials are key consumer groups in sustainable fashion. METHODOLOGY A mixed-method
research design was adopted: Primary Data ·
Survey
with 200 respondents (students, professionals, homemakers, retailers). ·
Interviews
with Re-Verse’s operational team, waste collectors, and sustainability experts.
·
Field
visits to collection units, sorting units, and recycling machinery. Secondary Data ·
AMC
waste management reports ·
Government
policy documents ·
Research
journals ·
Sustainability
industry portals Tools Used ·
Descriptive
analysis ·
Crosstab
analysis ·
Consumer
charts and graphs ·
Thematic
qualitative analysis RESULTS AND ANALYSIS OPERATIONS AND SUPPLY CHAIN ANALYSIS Key findings
show: ·
40–45%
households segregate waste regularly. ·
60–70%
of recyclable material sourced through informal workers. ·
Manual
sorting increases labour time by 35–40%. ·
Contamination
rate of textile waste is approx. 48%, reducing recycling efficiency. ·
Logistic
inefficiencies lead to cost increases of 20–25% per cycle. Company-Level
Findings (Re-Verse Green Clothing) Re-Verse uses a
reverse logistics pipeline: 1)
Collection
(doorstep drives, retail bins, NGO partnerships) 2)
Sorting
(colour, fabric type, condition) 3)
Mechanical
recycling (shredding → fibre → yarn) 4)
Upcycling
into new garments 5)
Distribution
through D2C channels Technological
additions include RFID batch tracking, solar-powered units, and biodegradable
packaging. CONSUMER BEHAVIOUR ANALYSIS Survey of 200
respondents revealed: Awareness ·
70%
aware of general recycling ·
Only 32%
aware of textile recycling specifically Motivators ·
Environmental
concern – 55% ·
Accessibility
of collection points – 65% ·
Incentives
or discounts – 42% ·
Transparency
& trust – 47% Barriers ·
Low
accessibility – 58% ·
Confusion
about what materials can be recycled – 41% ·
Distrust
in process – 44% ·
Time
constraints – 39% Purchase
Behaviour ·
62%
willing to buy recycled products ·
Stronger
acceptance among 18–30 age group ·
Women
more likely to recycle than men
The graph presents
key behavioral drivers identified in the survey. Accessibility to collection
points is the highest motivator, followed by environmental concern,
affordability, and transparency. DISCUSSION Major findings
show: ·
Structural
Gaps: Fragmented supply
chains, lack of proper collection infrastructure. ·
Behavioural
Gaps: High awareness but low
behavioural consistency due to trust and convenience barriers. ·
Technology
Gaps: Limited automation
slows processing. ·
Policy
Gaps: Weak enforcement of
textile-specific segregation rules. ·
Market
Trends: Youth are driving a
shift towards sustainable fashion. Re-Verse Green
Clothing serves as a model but requires: ·
Greater
integration with informal sector ·
Larger-scale
logistics support ·
Stronger
community outreach CONCLUSION Ahmedabad is
poised to become a major circular textile hub but requires: ·
Structured
waste collection networks ·
Enhanced
transparency through digital tools ·
Awareness
campaigns targeting households ·
Technology
investments in sorting and recycling Consumer behaviour
trends show strong future potential, especially among youth, but the industry
must address accessibility, trust, and pricing concerns. RECOMMENDATIONS For Industry ·
Establish
ward-level textile collection points. ·
Integrate
informal workers into formal systems through training. ·
Develop
RFID and QR-based transparency tools. ·
Scale up
reverse logistics networks. For Government ·
Offer
subsidies for recycling machinery. ·
Implement
textile-specific segregation rules under AMC. ·
Facilitate
public–private partnerships for recycling hubs. For Future
Research ·
Longitudinal
tracking of textile waste flows. ·
AI-based
classifications of recyclable textiles. ·
Psychological
determinants of sustainable fashion adoption in Tier-1 and Tier-2 cities. ACKNOWLEDGMENTS None. REFERENCES Ahmedabad Municipal Corporation. (2023). Solid Waste Management Annual Report. Ahmedabad Municipal Corporation, Gujarat. Biswas, A., and Roy, M. (2015). Green products: An Exploratory Study on Consumer Behaviour in Emerging Economies. Journal of Cleaner Production, 87(1), 463–468. https://doi.org/10.1016/j.jclepro.2014.09.075 Bocken, N. M. P., Bakker, C., and de Pauw, I. (2016). Product Design and Business Model Strategies for a Circular Economy. Journal of Industrial and Production Engineering, 33(5), 308–320. https://doi.org/10.1080/21681015.2016.1172124 Ellen
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