ANALYSIS OF HOUSEHOLDâ€™S ENVIRONMENT AND WILLINGNESS TO PAY FOR WASTE DISPOSAL IN SOUTH AFRICA

Omotayo, Abiodun Olusola; Omotoso, Abeeb Babatunde; Daud, Saidat Adebola; Tshwene, Seleke Christopher; Nkonki-Mandleni, Busisiwe

doi:10.21506/j.ponte.2020.5.10

Cited by 4 publications

(4 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Improvement SWM in Bahir Dar city highly factors consideration in the SWM demand of households [13]. WTP and the concept of waste management of South African households are vital to the public policy implication on the environment and health sustainability [14].…”

Section: Discussionmentioning

confidence: 99%

Study of Household Willingness to Pay to Improve Solid Waste Management at Residential

Ismail

2021

IOP Conf. Ser.: Earth Environ. Sci.

View full text Add to dashboard Cite

Households at residential paid for the facilities of solid waste, but usually unsatisfied service. This study aimed to evaluate the household willingness to pay for solid waste management facilities and analyze the model of willingness to pay for solid waste management facilities at Cikarang residential. Quantitative research with a survey using a questionnaire to collect the data. The population used was housewife live at Cikarang residential at least recent five years and manage the solid waste from her house. Data analysis using multiple regression to find that the household willingness to pay model. The factors of willingness to pay preferences used were awareness, perception, and preferences. The result showed the willingness to pay households for solid waste management on average is 37,800 IDR, and the total fee paid on average is 37,350 IDR. There is no significant difference between that two amounts. Preference variable significance affects willingness to pay preferences, while awareness and perception variables were not. The regression model was: Willingness to pay preferences = 2.499 + 0.468 preference + é.

show abstract

Section: Discussionmentioning

confidence: 99%

Study of Household Willingness to Pay to Improve Solid Waste Management at Residential

Ismail

2021

IOP Conf. Ser.: Earth Environ. Sci.

View full text Add to dashboard Cite

show abstract

“…SSA in particular will experience intermittent high rain intensity (Christensen et al, 2007;Thompson et al, 2010). This will be in addition to existing sensitivity to rain variability in SSA because of the predominance of rain-fed agriculture in the region (Omotoso et al, 2023). Climate change is one of the biggest threats facing humankind today and is already having adverse impacts particularly in rural areas where the majority of the population (67%) lives and mainly depend on agriculture-based livelihoods (Adger et al, 2003;Dube and Phiri, 2013;ZIMSTAT, 2013;IPCC, 2014;Apraku et al, 2018a,b;Phiri et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Typology analysis and adaptive capacity of commercial gardening farmers to climate change in peri-urban areas along the coastal area of Benin (West Africa)

Ahouangan,

Koura,

Lesse

et al. 2024

Front. Sustain. Food Syst.

View full text Add to dashboard Cite

The coastal environment represents a special site for human and economic activities. The population growth in this area has led to strong urbanization and, therefore, to the establishment of small-scale vegetable farms to feed the growing urban and peri-urban populations. This is an opportunity for youth employment and reduce poverty as this activity generates reliable incomes. However, in recent years, climatic changes and rapid urbanization have influenced agricultural activities in this area. The aim of this study was to characterize market gardening systems along the coastal area of Benin and understand farmers’ perceptions and adaptation strategies in response to the ongoing environmental changes. Data was collected from 130 farms using individual semi-structured questionnaires. A principal component analysis (PCA), K-Mean multivariate classification and statistical inference were used for data analysis. Three farm groups were identified from the hierarchical bottom-up classification: modern coastal farms (MCF, 59.24%), small-scale intra-urban farms (SIF, 35.38%) and traditional co-managed lowland farms (TCF, 5.38%). The perceived environmental changes were mainly temperature increases, strong winds and migration to another farmland. The criteria differentiating the groups were strong winds and variation in the start date of the rains (p < 0.05). According to current strategies farmers in groups 1 and 2 preferred crop diversification, those in group 3 moved their farms. Future strategies range from the early sale of crops to the use of modern watering equipment to the cessation of farming. Thus, sustainable farm management requires the involvement of decentralized structures and local stakeholders to maintain the livelihoods of local populations.

show abstract

“…This means that agricultural production will have to increase by ∼60% by 2050 to satisfy the expected demands for food and animal feed (FAO, 2013). It is safe to say that there is an urgency for policymakers to prioritize the development and implementation of specific adaptation strategies in SSA's agricultural industry to mitigate the effects of climate change and enhance agricultural productivity and sustainability (Omotoso et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

A systematic review identifying the drivers and barriers to the adoption of climate-smart agriculture by smallholder farmers in Africa

Finizola e Silva,

Van Schoubroeck,

Cools

et al. 2024

Front. Environ. Econ.

View full text Add to dashboard Cite

Climate change impact, food security concerns, and greenhouse gas emissions are pressuring agricultural production systems in developing countries. There is a need for a shift toward sustainable food systems. One of the concepts introduced to drive this shift is climate-smart agriculture (CSA), endorsed by international organizations to address multifaceted challenges. Despite widespread attention and support, the adoption of CSA among African farmers remains low. This systematic literature review aims to shed light on the factors influencing CSA adoption amongst African farmers. Within the articles identified as relevant, over 50 CSA practices and more than 40 factors influencing CSA adoption were distinguished. These influencing factors can be categorized as personal, farm-related, financial, environmental, and informational. The focus of this review is to identify and explain the overall impact (positive, negative, or mixed) of these factors on CSA adoption. Overall, many factors result in mixed effects, only some factors have an unambiguous positive or negative effect on CSA adoption. For instance, educational level emerges as a key personal factor, positively impacting CSA adoption, along with positive influences from farmers' experience and farm size among farm-related factors. Financial factors reveal distinct patterns, with income from farming and access to credit positively influencing adoption, while off-farm income exhibits a negative effect. Environmental factors, though less researched, indicate positive impacts related to changes in rainfall patterns, temperature, and droughts. Lastly, informational factors consistently exhibit a positive effect on CSA adoption, with training, access to extension, group memberships, climate information, and CSA awareness playing crucial roles. These findings provide valuable insights for policymakers seeking to enhance CSA adoption in Africa, offering a nuanced understanding of the multifaceted dynamics at play.

show abstract

ANALYSIS OF HOUSEHOLDâ€™S ENVIRONMENT AND WILLINGNESS TO PAY FOR WASTE DISPOSAL IN SOUTH AFRICA

Cited by 4 publications

References 0 publications

Study of Household Willingness to Pay to Improve Solid Waste Management at Residential

Study of Household Willingness to Pay to Improve Solid Waste Management at Residential

Typology analysis and adaptive capacity of commercial gardening farmers to climate change in peri-urban areas along the coastal area of Benin (West Africa)

A systematic review identifying the drivers and barriers to the adoption of climate-smart agriculture by smallholder farmers in Africa

Contact Info

Product

Resources

About