Household solid waste characterization by family socioeconomic profile as unit of analysis

Ojeda‐Benítez, Sara; Vega, Carolina Armijo-de; Marquez-Montenegro, Ma Ysabel

doi:10.1016/j.resconrec.2008.03.004

Cited by 117 publications

(62 citation statements)

References 15 publications

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“…Increase in HH size will lead to more waste generation but at a decreasing rate (OECD, 2014). While it is apparent for more members of a HH to generate more waste, the phenomena of 'group living' and 'common consumption' can sometimes saturate the amount of waste being generated as number of generators increase (Gu et al, 2015;Ojeda-Benítez, Vega, & Marquez-Montenegro, 2008). Many studies have also supported HH size to have opposing effect on waste generation (Bandara et al, 2007;Irwan, Basri, & Watanabe, 2012;Kayode & Omole, 2011;Miezah et al, 2015;Ogwueleka, 2013;Qu et al, 2009).…”

Section: Occupationmentioning

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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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: Occupationmentioning

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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“…Qu et al (2009) utilized a variety of socioeconomic variables across different districts of Beijing City to derive the required number of households. Ojeda-Benitez et al (2008) conducted residential solid waste sampling by utilizing income levels across family typology. Sujauddin et al (2008) randomly selected 75 households in Chittagong, Bangladesh from five different socioeconomic groups to characterize household solid waste.…”

Section: Introductionmentioning

confidence: 99%

Municipal solid waste generation in Kathmandu, Nepal

Dangi

Pretz

Urynowicz

et al. 2011

Journal of Environmental Management

140

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Abstract:Waste stream characteristics must be understood to tackle waste management problems in Kathmandu Metropolitan City (KMC), Nepal. Three-stage stratified cluster sampling was used to evaluate solid waste data collected from 336 households in KMC. This information was combined with data collected regarding waste from restaurants, hotels, schools and streets. The study found that 497.3 g capita À1 day À1 of solid waste was generated from households and 48.5, 113.3 and 26.1 kg facility À1 day À1 of waste was generated from restaurants, hotels and schools, respectively. Street litter measured 69.3 metric tons day À1. The average municipal solid waste generation rate was 523.8 metric tons day À1 or 0.66 kg capita À1 day À1 as compared to the 320 metric tons day À1 reported by the city. The coefficient of correlation between the number of people and the amount of waste produced was 0.94. Key household waste constituents included 71% organic wastes, 12% plastics, 7.5% paper and paper products, 5% dirt and construction debris and 1%hazardous wastes. Although the waste composition varied depending on the source, the composition analysis of waste from restaurants, hotels, schools and streets showed a high percentage of organic wastes. These numbers suggest a greater potential for recovery of organic wastes via composting and there is an opportunity for recycling. Because there is no previous inquiry of this scale in reporting comprehensive municipal solid waste generation in Nepal, this study can be treated as a baseline for other Nepalese municipalities.

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“…These societal changes influence the charac- teristics of given households, including family size, societal status and wealth, residential location and community status. Various authors have described the correlation between household solid waste generation and composition and relevant socioeconomic factors [3,9,10,[15][16][17][18][19][20]. In addition, some studies were conducted using regression analysis to establish the relationship between waste generation and socioeconomic factors [21].…”

Section: Introductionmentioning

confidence: 99%

A Situational Assessment of Socioeconomic Factors Affecting Solid Waste Generation and Composition in Freetown, Sierra Leone

Sankoh¹,

Yan²,

Conteh³

2012

JEP

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The generation of solid waste has become an increasing environmental and public health problem, especially in developing countries. These problems associated with the generation of solid waste are part of social changes where households play an important role. Invariably, these social changes influence the size, structure and characteristics of given households. This paper presents the findings of a study carried out in Freetown municipal area in Sierra Leone to assess socioeconomic factors affecting household solid waste generation and composition in Freetown, Sierra Leone. Structured questionnaires were administered with respect to these socioeconomic factors in four (4) selected constituencies of the city. These are the most populated constituencies that generated 70% of the total quantity of solid waste in the city. Therefore, they are suitable samples of the study area. The rate of waste generation was determined by using doorto-door approach in five (5) selected households from each constituency through sorting and weighing of solid wastes respectively. The dependent variables were solid waste generation and composition, and the independent variables were family size, education, income levels among others. The data obtained were subjected to statistical analysis to determine relationships between independent variables and dependent variables through correlation. The results showed that the solid waste generation and composition in Freetown was significantly affected by average family size, employment status, monthly income, and number of room(s) occupied by households. In general, the paper adequately suggests new insights concerning the role of socioeconomic factors in affecting the generation and composition of household solid waste.

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Household solid waste characterization by family socioeconomic profile as unit of analysis

Cited by 117 publications

References 15 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

Municipal solid waste generation in Kathmandu, Nepal

A Situational Assessment of Socioeconomic Factors Affecting Solid Waste Generation and Composition in Freetown, Sierra Leone

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