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What Drives Households’ Payment for Waste Disposal and Recycling Behaviours? Empirical Evidence from South Africa’s General Household Survey

Bibliographic Data

ID15505552
AuthorsAbiodun Olusola Omotayo (0000-0002-4423-9983, North-West University, corresponding author), Abeeb Babatunde Omotoso (0000-0001-8460-4060, Oyo State College of Agriculture and Technology, P.M.B. 10, Igboora, Oyo State, Nigeria), Adebola Saidat Daud (Oyo State College of Agriculture and Technology, P.M.B. 10, Igboora, Oyo State, Nigeria), Adebayo Ogunniyi (0000-0002-2952-2959, International Institute of Tropical Agriculture), Kehinde Oluseyi Olagunju (0000-0002-5619-054X, Agri Food and Biosciences Institute)
Year2020
Volume17
Issue19
Pages7188-7188
Publication date2020-10-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph17197188
PMID33019499
OpenAlexW3089379447
LanguageEN
Citations received5
References cited58

Safeguarding the environment and its citizens' health remains one of the key policy priorities of the governments of many developing and emerging countries. Using the 2017 General Household Survey (GHS) dataset, this study examines the driving factors affecting households' recycling behaviour and payment for waste disposal in South Africa. The methods of data analysis were based on descriptive statistics and a Bivariate Probit regression model. The descriptive statistics results indicate that there are 56.29% male-headed and 43.71% female headed households, with an average age of 49 years. In addition, the study shows that 89.97% of household heads had formal education with a mean monthly income of 11,099.07 ZAR/650.504 USD. The study also revealed that 22% of the households sampled had access to social grants. The results from the Bivariate Probit regression model show that household's income, access to social grants, formal educational attainment and the age of the household were significant ( p < 0.01) driving factors affecting households' recycling behaviour and payment for waste disposal. The study concludes that the households' socio-economic factors affect their recycling behaviour and willingness to pay for waste management in South Africa. Actions targeted at poverty alleviation and environmental sensitization programmes are key for facilitating environmental conservation behaviours of households in South Africa in order to achieve the environmental sustainability Sustainable Development Goal (SDG) target of the United Nations

Business · Descriptive statistics · Economic growth · Economics · Geography · Household income · Multivariate probit model · Payment · Poverty · Probit model · Socioeconomics · Sustainability · Environmental Education and Sustainability · Municipal Solid Waste Management · Sustainable Building Design and Assessment · Finance

  • Consumer challenges with waste sorting at Latvian households

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    Open Access•Grace Kadyamadare, Melanie Samson•Urban Forum•2024

  • Waste Disposal Practices in Low-Income Settlements of South Africa

    Open Access•Lorren K Haywood, Thandi Kapwata et al.•International Journal of…•2021

  • Investigating the drivers of solid waste generation and disposal

    Open Access•Abiodun Olusola Omotayo•Environment Development and…•2024

  • What a Waste 2.0

    Silpa Kaza, Kaza Silpa et al.•What a Waste•2018

  • What a Waste

    Daniel Hoornweg, Perinaz Bhada‐Tata et al.•2012

  • Solid waste management challenges for cities in developing countries

    Open Access•Lilliana Abarca Guerrero, Lilliana Abarca-Guerrero et al.•Waste Management•2013

  • The theory of planned behavior

    Open Access•Icek Ajzen•Organizational Behavior and Human…•1991

  • Poverty and productivity in female-headed households in Zimbabwe

    Sara Horrell, Pramila Krishnan•The Journal of Development Studies•2007

  • Health in the sustainable development goals

    Open Access•Katherine Buse, Kent Buse et al.•Globalization and Health•2015

  • Willingness to pay before and after program implementation

    Open Access•Prasenjit Sarkhel, Sarmila Banerjee et al.•Environment Development and…•2016

  • Are flood victims more concerned about climate change than other people? The role of direct experience in risk perception and behavioural response

    Lorraine Whitmarsh•Journal of Risk Research•2008

  • On global absences

    Open Access•Xavier Bonal•International Journal of…•2006

  • Assessing Gender Inequality in Food Security among Small-holder Farm Households in urban and rural South Africa

    Open Access•Byela Tibesigwa, Martine Visser•World Development•2016

  • Women, Weather, and Woes

    Open Access•Martin Flatø, Raya Muttarak et al.•World Development•2016

  • Waste governance agenda in Nigerian cities

    Chukwunonye Ezeah, Clive L Roberts•Habitat International•2014

  • Urbanization in developing countries

    Open Access•Barney Cohen•Technology in Society•2006

  • Belief, Attitude, Intention and Behavior

    R J Hill, Martin Fishbein et al.•Contemporary Sociology A Journal…•1977

  • Garbage and Recycling with Endogenous Local Policy

    Open Access•Thomas C Kinnaman, Don Fullerton•Journal of Urban Economics•2000

  • A Multilevel Analysis of the Determinants of Recycling Behavior in the European Countries

    Open Access•Daniel Guerin, Jean Crête et al.•Social Science Research•2001

  • Gender and Multidimensional Poverty in South Africa

    Open Access•Michael Rogan•Social Indicators Research•2015

  • Poverty and Headship in Post-apartheid South Africa, 1997-2006

    Open Access•Michael Rogan•Social Indicators Research•2013

Unique citing works5
Citations per year1
Citation span2021 - 2026 (6)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 5

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