Attitude of Chinese public towards municipal solid waste sorting policy: A text mining study

Wu, Zezhou; Zhang, Yan; Chen, Qiaohui; Wang, Hao

doi:10.1016/j.scitotenv.2020.142674

Cited by 107 publications

(63 citation statements)

References 39 publications

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“…In the 2010s, China surpassed DB4b, transitioned rapidly through DB5 due to a considerable tightening of environmental regulation and control on waste recovery and disposal facilities; and since became established within DB7 thanks to a sustained focus on technology adaptation and innovation. Very recently, policy attention has shifted to recycling, with separate collection of MSW fractions now mandatory in major cities (Wu et al, 2021); China is implementing policy instruments that are reflective of a transition towards DB9.…”

Section: Testing the 9dbs Frameworkmentioning

confidence: 99%

The nine development bands: A conceptual framework and global theory for waste and development

Whiteman

Webster²,

Wilson

2021

Waste Manag Res

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Solid waste management (SWM) is an essential utility service. More than two to three billion people worldwide still lack basic services, whereas some countries are already moving beyond SWM towards waste and resource management (WaRM) and a circular economy. This paper sets out a novel conceptual framework and global theory of waste and development, providing a road map, allowing a country or city to locate their current position and plot their way ahead. We identify nine development bands (9DBs) with significant commonalities in terms of critical challenges and developmental pressure points. DB1–DB4 reflect stepwise improvement towards the new baseline of meeting the SDG 11.6.1 indicators of universal collection and management in controlled facilities (DB5). Countries can then choose to move towards environmentally sound management and the ‘reduce, reuse, recycle’ (3Rs) (DB6-9), with an ultimate aspiration of ‘zero waste’. We test the 9DBs conceptual framework against historical journeys of higher income countries. The main application will be in low- and middle-income countries striving towards SDG 11.6.1, where it fills a key gap in the practitioners’ toolkit by enabling initial framing/scoping of the problem and smarter interventions to be designed and sense checked. Key insights include targeted governance/institutional reforms, appropriate and affordable systems/technology and adapting solutions to a diversity of local needs and realities.

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Section: Testing the 9dbs Frameworkmentioning

confidence: 99%

The nine development bands: A conceptual framework and global theory for waste and development

Whiteman

Webster²,

Wilson

2021

Waste Manag Res

View full text Add to dashboard Cite

show abstract

“…Wang et al established the concept of IoT-enabled accountability in MSW source separation based on the perspective of accounting theory and demonstrated its validity through several case studies (Wang et al, 2021a ). However, it was noted that factors, such as fines, charges, time, procedures, and rules, under the compulsory policy breed negative attitudes toward source separation (Wu et al, 2021 ). In addition, external factors such as the types of recycled materials, classification policies (Hou et al, 2020 ), recycling plans (Stoeva & Alriksson, 2017 ), market facilitators, and government factors (Xu et al, 2017 ), economic incentives, or penalties (Varotto & Spagnolli, 2017 ) also affected residents' recycling behavior.…”

Section: Msw Generation and Source Separationmentioning

confidence: 99%

Source separation, transportation, pretreatment, and valorization of municipal solid waste: a critical review

Zhang

Liu

Chen

et al. 2021

Environ Dev Sustain

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“…Moreover, some problems are very hard to capture; for example, emotions are, by nature, subjectively experienced in a specific context, so their objective assessment is very difficult [ 5 , 6 ]. Wang et al [ 7 ] and Feizollah et al [ 8 ] argue that state-of-art computational techniques based on machine learning methods can potentially eliminate such methodological issues.…”

Section: Introductionmentioning

confidence: 99%

Modeling the public attitude towards organic foods: a big data and text mining approach

Singh

Glińska-Neweś

2022

J Big Data

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This study aims to identify the topics that users post on Twitter about organic foods and to analyze the emotion-based sentiment of those tweets. The study addresses a call for an application of big data and text mining in different fields of research, as well as proposes more objective research methods in studies on food consumption. There is a growing interest in understanding consumer choices for foods which are caused by the predominant contribution of the food industry to climate change. So far, customer attitudes towards organic food have been studied mostly with self-reported methods, such as questionnaires and interviews, which have many limitations. Therefore, in the present study, we used big data and text mining techniques as more objective methods to analyze the public attitude about organic foods. A total of 43,724 Twitter posts were extracted with streaming Application Programming Interface (API). Latent Dirichlet Allocation (LDA) algorithm was applied for topic modeling. A test of topic significance was performed to evaluate the quality of the topics. Public sentiment was analyzed based on the NRC emotion lexicon by utilizing Syuzhet package. Topic modeling results showed that people discuss on variety of themes related to organic foods such as plant-based diet, saving the planet, organic farming and standardization, authenticity, and food delivery, etc. Sentiment analysis results suggest that people view organic foods positively, though there are also people who are skeptical about the claims that organic foods are natural and free from chemicals and pesticides. The study contributes to the field of consumer behavior by implementing research methods grounded in text mining and big data. The study contributes also to the advancement of research in the field of sustainable food consumption by providing a fresh perspective on public attitude toward organic foods, filling the gaps in existing literature and research.

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Attitude of Chinese public towards municipal solid waste sorting policy: A text mining study

Cited by 107 publications

References 39 publications

The nine development bands: A conceptual framework and global theory for waste and development

The nine development bands: A conceptual framework and global theory for waste and development

Source separation, transportation, pretreatment, and valorization of municipal solid waste: a critical review

Modeling the public attitude towards organic foods: a big data and text mining approach

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