Importance of Data in Plastic Waste Management in India

Mandavi Singh, Trinayana Kaushik
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Abstract

Sustainable development goals have a global indicator framework that guides countries in selecting relevant indicators for the national indicator framework. It can be used by countries to track progress around specific targets. To track such progress around the plastic economy, a data-driven approach is required. Plastic waste management has long been a challenge and is considered an issue mainly due to the lack of infrastructure, technology, and efficient systems for collecting and processing plastic. However, not much importance is given to ‘how much’ that is the ‘data’ for plastics to deal with. The polymer supply chain is extremely complex due to its multiple forms, numerous applications across sectors and products, and vast time range within which they can reach their end of life. There are only rough estimates about plastic waste generation in India without any proper methodology. Even when a certain methodology is provided it is not holistic as it does not consider the informal sector of India, leading to the debilitation of data generated. Data transparency is a must to build a circular waste value chain. It could be achieved via the unified digital platform and strengthening of extended producer responsibility. Instead of just provision of the numbers, transparency could be brought by stating the methods for data collection and its completeness which can translate to how veritable the quoted numbers are and where to fill the gaps in assumptions and calculations.
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数据在印度塑料废物管理中的重要性
可持续发展目标有一个全球指标框架,指导各国为国家指标框架选择相关指标。各国可以利用它来跟踪具体目标的进展情况。为了跟踪塑料经济的进展,需要一种数据驱动的方法。塑料废物管理长期以来一直是一个挑战,主要是由于缺乏收集和处理塑料的基础设施、技术和有效系统。然而,对于塑料需要处理的“数据”到底有多少,人们并没有给予太多重视。聚合物供应链非常复杂,因为它有多种形式,跨部门和产品的众多应用,并且它们可以在很长时间内达到其使用寿命。在没有任何适当的方法的情况下,对印度产生的塑料废物只有粗略的估计。即使提供了某种方法,它也不是全面的,因为它没有考虑到印度的非正式部门,导致所产生的数据不足。数据透明是建立循环废物价值链的必要条件。这可以通过统一的数字平台和加强生产者延伸责任来实现。不只是提供数字,还可以通过说明数据收集方法及其完整性来带来透明度,这可以转化为引用的数字的真实性,以及在哪里填补假设和计算中的空白。
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