Impact of socioeconomic status on municipal solid waste generation rate

Khan, Debishree; Kumar, Atul; Samadder, Sukha Ranjan

doi:10.1016/j.wasman.2016.01.019

Cited by 183 publications

(95 citation statements)

References 21 publications

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“…In this case, holding all other variables constant, a member increase in HH will increase the total HH waste generation by 0.12 kg/day, significant at 1%. Other studies have also found similar positive result (Afroz et al, 2011;Afroz, Masud, Akhtar, & Duasa, 2013;Gu et al, 2015;Khan et al, 2016;Maskey et al, 2016;Sankoh et al, 2012;Senzige et al, 2014;Sujauddin et al, 2008;Suthar & Singh, 2015;Trang et al, 2017). The more members in a HH, the more will be purchased and consumed that will ultimately result in higher waste generation.…”

Section: Waste Generationmentioning

confidence: 60%

“…The primary step is to understand how much and what kind of waste is generated in order to decide the most effective strategy for its management (Adeniran, Nubi, & Adelopo, 2017;Aleluia & Ferrão, 2016;Armijo de Vega, Ojeda Benítez, & Ramírez Barreto, 2008;Edjabou et al, 2015;Gallardo, Edo-Alcón, Carlos, & Renau, 2016;Khan, Kumar, & Samadder, 2016;Miezah, Obiri-Danso, Kádár, Fei-Baffoe, & Mensah, 2015;Trang, Dong, Toan, Hanh, & Thu, 2017). This study attempted to make a move in this direction by analyzing generation and composition of household (HH) waste in Gorkha municipality.…”

Section: Introductionmentioning

confidence: 99%

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Household Waste Generating Factors and Composition Study for Effective Management in Gorkha Municipality of Nepal

Maskey¹,

Singh²

2017

JSD

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Municipal solid waste is a growing concern in cities of developing countries and households are the main contributor. Lack of reliable data sources remain one of the major drawbacks for deciding on effective waste management option. The study area Gorkha municipality is selected because it is one of the highly under-researched and least resource intensive municipalities in Nepal. However, continued growth in municipal waste if left unattended will only intensify the problem and thus demands proactive action. Therefore, the objective of this study is to analyze waste composition and to evaluate the socioeconomic factors impacting household waste generation for effective management. Using stratified sampling method, 401 households were selected from all 15 municipal wards. Socioeconomic factors impacting household waste generation were assessed using Ordinary Least Square regression model. The rate of household waste generation in Gorkha municipality is found to be 0.24 kg/capita/day and estimated total household waste generation of 9.4 tonnes/day. Household size and income are found to have positive impact on waste generation, both statistically significant at 1% and thus can be important indicators to forecast solid waste generation trend. Household waste composition was 47.25% organic waste, 37.52% recyclable waste that comprised of 10.38% paper and paper products, 9.88% glass, 6.92% metal, 5.39% plastic, 3.57% textile and 1.38% rubber and leather, and rest 15.23% other waste. Organic waste has the highest share and if not managed properly, creates serious health and environmental hazards. It could be managed efficiently by composting at household and local government level.

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Section: Waste Generationmentioning

confidence: 60%

Section: Introductionmentioning

confidence: 99%

Household Waste Generating Factors and Composition Study for Effective Management in Gorkha Municipality of Nepal

Maskey¹,

Singh²

2017

JSD

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“…administrative, functional, and economic type of the municipality [2] affluence ("standard of living") and inhabitants' lifestyle [15,16] average size of a household [5] buildings type and heating system [2,5,12] climate factors (the temperature and precipitation) and the season of the year [7,12,17,18] eating habits and health indicators, such as lifespan and infant mortality, as well as the age structure of population [17,19] fees for waste collection and disposal calculated per one inhabitant or per one ton and the frequency of waste collection [7,12] household size [2,5,15,20] level of contamination in selectively collected waste [7,12] municipality's income from taxes calculated per one inhabitant [13,21,22] other technical and sanitary equipment of buildings [5] participation in taxes comprising national budget income personal income tax [5] participation of ashes and/or biodegradable waste in the mixed municipal waste stream [7,12] participation of households composting organic waste [7,12]…”

Section: Independent Variablesmentioning

confidence: 99%

Identification and Analysis of Sets Variables for of Municipal Waste Management Modelling

2019

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Due to the large quantities of municipal waste generated, their harmful effects on the environment should be minimized. The rationalization of waste management is therefore necessary to achieve a more sustainable development system. In order to support the decision-making process for municipal waste management, this document focuses on developing models for practical use by local authorities in forecasting and managing the size of waste stream in their area. This action, because of its specificity, is a difficult task, especially because of the systemic changes made and the territorial differentiation and changes in the living level of the population. The work presents studies conducted in 2479 municipalities for which mass accumulation index forecasts were developed, using selected methods based on readily available input variables that have not yet been used (structure municipalities and typology of municipalities by scope of influence). The studies confirmed the hypothesis that the amount of municipal waste collected from households depends both on the administrative type of the municipality and on the factors related to the location and socioeconomic function of the area. The inclusion of localization and socioeconomic factors, which so far were not used to model the municipal waste stream, allowed for the reduction of the prediction error of this indicator. Relevant waste stream forecasts will allow local governments to achieve more effectively the objective of sustainable waste management and thus reduce their environmental impact. The achievement of this objective will be possible not only through the preparation of infrastructure to serve the projected waste volumes; it will also identify the waste management areas where the municipal waste reception process is inadequate. Thus, it will help to eliminate illegal processing and the landfill of waste. Keywords: municipal waste; sustainable waste management; ecological modelling; forecasting the amount of waste; limiting the impact of waste on the environment

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“…The difference in waste generation could be related to Gross Domestic Product (GDP). Authors [33][34][35] have pointed out that an increase in income results in a household waste generation rate increase and a change in waste composition (see the difference in the GDP in Table 2). The waste fractions are shown in Table 3.…”

Section: Domestic Solid Waste Characterisationmentioning

confidence: 99%

Recyclables Valorisation as the Best Strategy for Achieving Landfill CO2e Emissions Abatement from Domestic Waste: Game Theory

2017

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Various nations in the world have developed technologies and strategies for appropriate waste disposal, and to abate waste generation and greenhouse gasses. Alternatives like recovering materials can help, but they require reliable information to improve planning and management. This study quantifies the Carbon dioxide (CO 2 ) emissions produced by the lack of valorisation of materials in a Mexican city. Two waste characterisations in a lower-class neighbourhood were carried out. For the CO 2 emission estimation, two scenarios were considered. DEFRA emission factors for waste treatment processes were used. Waste generation was 0.64 kg/capita/day in the first study, and 0.50 kg/capita/day in the second. The CO 2 eq emissions of collected waste in the neighbourhood were estimated at 1824 kg for 2013 (0.20 kg/capita/day) and 1636 kg for 2015 (0.19 kg/capita/day). The behaviour of solid waste management in the city can be explained by the "prisoner's dilemma" model, studied in game theory, which is ideally suited to analysing situations affected by multiple agents, but requires an accurate understanding of solid waste actors and social implications.

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Impact of socioeconomic status on municipal solid waste generation rate

Cited by 183 publications

References 21 publications

Household Waste Generating Factors and Composition Study for Effective Management in Gorkha Municipality of Nepal

Household Waste Generating Factors and Composition Study for Effective Management in Gorkha Municipality of Nepal

Identification and Analysis of Sets Variables for of Municipal Waste Management Modelling

Recyclables Valorisation as the Best Strategy for Achieving Landfill CO2e Emissions Abatement from Domestic Waste: Game Theory

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