Claim Missing Document
Check
Articles

Found 2 Documents
Search

Revitalizing Sustainability: Exploring the Feasibility and Impacts of Polymer Waste Buy-Back Programs in Nigeria Solaja, Oludele Mayowa; Onafeso, Olumide D.; Amoo, Olamide Faruq
Indonesian Journal of Social and Environmental Issues (IJSEI) Vol. 5 No. 2 (2024): August
Publisher : CV. Literasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47540/ijsei.v5i2.1281

Abstract

The escalating environmental concerns associated with polymer waste have prompted a global call for sustainable solutions. This study explores the viability and potential impact of implementing buy-back programs for polymer waste in Nigeria. Through an extensive review of existing literature, environmental policies, and case studies, the research aims to provide insights into the economic, environmental, and social dimensions of such initiatives. The study adopted a qualitative research design with the use of in-depth interviews among 25 participants comprising ecopreneurs, environmental management officers, and community residents in the Ijebu region of Ogun State, Nigeria. Based on participant interviews, the research shows that stakeholders realize the economic and environmental benefits of such programs, but various difficulties must be overcome for success. Efficient collection and transportation methods are needed due to logistical challenges like those in waste management programs. Positive policies are needed to stimulate and regulate buy-back efforts, as is regulatory assistance. Community trust and engagement are crucial to buy-back program success.
Unleashing the Power of AI: Revolutionizing Plastic Waste Management for Sustainable Development in Developing Nations Solaja, Oludele Mayowa
Waste Technology Vol 12, No 1 (2024)
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/12.1.%p

Abstract

Plastic waste pollution poses a significant environmental challenge worldwide, particularly in developing countries like Nigeria, where limited waste management infrastructure exacerbates the problem. This paper examines the potential of artificial intelligence (AI) technologies to address plastic waste reduction in developing countries, with a focus on the Nigerian context. Through a comprehensive analysis of challenges, opportunities, case studies, policy implications, and recommendations, the paper highlights the transformative role of AI in waste management. Challenges such as infrastructure gaps, data scarcity, and ethical considerations are identified, alongside opportunities for innovation, efficiency, and sustainability. Case studies from developed and developing countries illustrate successful AI applications in waste collection, sorting, recycling, and pollution monitoring. Policy implications emphasize the importance of comprehensive legislation, investment in infrastructure and technology, public awareness, and cross-sectoral collaboration. Recommendations include extended producer responsibility policies, landfill bans, education campaigns, and international cooperation. The future of AI-driven plastic waste reduction in developing countries hinges on technological advancement, collaborative partnerships, increased investment, supportive policies, and regulatory frameworks. By harnessing the power of AI technologies and collective action, developing countries can address the plastic waste crisis, promote environmental sustainability, and foster a cleaner, greener future for all.