Farmers’ willingness-to-pay for eco-friendly agricultural waste management in Ethiopia: A contingent valuation

Atinkut, Haimanot B.; Yan, Tao; Arega, Yibeltal; Raza, Muhammad Haseeb

doi:10.1016/j.jclepro.2020.121211

Cited by 76 publications

(31 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In Ethiopia, the government realized that it is impossible to address the problem of environment, particularly SWM, without involvement of local communities for sustainability of funds to manage SWM services. The most significant aspect of municipal SWM is collection and transportation of solid waste as it demands the major share of municipal budget and has the greatest impact on urban life and also places a heavy burden on the economy of the country [21,22]. To minimize these problems the participation of local communities or service receivers is important in providing solutions to problems of SWM [23,24].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Households' Willingness to Pay for Improved Solid Waste Management Services in Gondar city, Ethiopia: Evidence from a double-bounded Dichotomous Contingent Valuation Method

Wegedie¹,

Eyasu²,

Yizengaw³

et al. 2020

Preprint

View full text Add to dashboard Cite

Background: Waste is a byproduct of human life. Nowadays, municipal solid waste is being produced in excessive amounts and in this way, both developing and developed countries are facing challenges regarding generation of waste. Economic development, urbanization and improved living standards in cities have contributed to increase in the amount and complexity of solid waste produced. Methods: this study aims to Analysis of households' willingness to pay for improved solid waste management Services in Gondar city, Ethiopia: evidence from a double-bounded dichotomous contingent Valuation Method.Result: A total of 222 randomly selected households were interviewed to address the objective of this study. Finally, the survey result indicated that 192(87.3%) of sample households were willing to pay for improved solid waste management services. Following this, the one and double-bounded dichotomous contingent valuation result revealed that the mean willingness to pay estimated from the Double Bounded dichotomous CVM and open ended formats were 34.48 and 17.0756 ETB[1] per month per households respectively. The total WTP was obtained by adding the WTP of the total households in each stratum, and is equal to 941361ETB and 1900848 ETB for open ended and double bounded format, respectively. Additionally, the bivariate probit model result demonstrated that income and education have positive and significant effects on willingness to pay bid amounts. The results, age, marital status, Bid1 and Bid2 have a negative and significant effect on households’ amount of willingness to pay for better solid waste management services. Conclusion: When allocating service charges the city municipality considers amount of solid waste generation and income level of the households. The study results show that when educational status of the households increases and increase their willing to participate in planned improved solid waste management service. Thus, awareness creation is importance for better solid waste management. Additionally the city municipality facilitates a learning media for uneducated households to come up with at least secondary education level.

show abstract

Section: Introductionmentioning

confidence: 99%

Analysis of Households' Willingness to Pay for Improved Solid Waste Management Services in Gondar city, Ethiopia: Evidence from a double-bounded Dichotomous Contingent Valuation Method

Wegedie¹,

Eyasu²,

Yizengaw³

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…Further, the authors stated that the likelihood of disposing waste in the right bin increases by 6.8% per 1000 RMB increase in the local per capita income. Besides, the absence of environmental protection rewards increases the low level of environmental protection awareness and waste classification [11,12,28,29]. Also, from our findings, it was evident that there was not enough environmental protection training within the rural areas of Jiangsu.…”

Section: Discussionmentioning

confidence: 71%

“…Level of education positively and significantly influenced rural waste classification and environmental protection awareness. Rural residents with higher education levels are more probable to collect, classify, and be aware of the need for environmental protection [11]. On the other hand, we assumed that lack of education diminishes the environmental awareness to the point that a rural resident might not be observant about environmental pollution and the need for awareness.…”

Section: Discussionmentioning

confidence: 99%

“…China incorporated the rural solid waste into the scope of the public administration, emphasizing the need to control waste and sewages to enhance the living environments of the rural population. However, despite the efforts put in place by the government, challenges still exist, such as inherent characteristics of waste classification, lack of facilities, and administrative measures that overwhelm rural waste management [11][12][13].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Rural Residents’ Awareness of Environmental Protection and Waste Classification Behavior in Jiangsu, China: An Empirical Analysis

Liu

Osewe

Wang

et al. 2020

IJERPH

View full text Add to dashboard Cite

Achieving waste classification and environmental protection awareness assists in enhancing the rural ecological environment, improves the quality of the rural residents’ life, and augments the rate of reusing resources within the rural setups. In order to study the factors influencing rural waste classification and environmental protection awareness, we conducted a project among rural residents of Jiangsu, China. We used both the logistic regression model and the ordinary least squares model to achieve the goals of this paper. Similarly, we found that the households’ level of education influenced the rural residents’ decision to classify waste and to protect the environment regarding whether a household consists of a village cadre; the availability of public waste collection facilities; the distance between households and the waste collection points; whether the waste is picked, assorted, and collected locally; and the cost of waste disposal. In light of all these factors, we recommended that the authorities should increase the rural residents’ waste classification and environmental protection awareness. Also, through the local government, the national government should strengthen and sustain rural waste disposal funds. Finally, there should be stringent laws and regulations outlining the role of the rural residents regarding waste classification and environmental protection awareness.

show abstract

“…Therefore, the four value ranges had been redefined as: 1=weaker demand attitude (non-compensation); 2=weak demand attitude (partial compensation); 3=strong demand attitude (complete compensation); 4= stronger demand attitude (excess compensation) (see Table 4). Drawing on existing studies [4,[26][27][28] and combining with the actual situations of field survey, this paper determined 12 influencing factors of farmers' ecological compensation attitude: family size (FS), total family income (INCO), voluntary fertilizer/pesticide reduction ratios (FRR/PRR), education level of the head of the household (EDU), age of the head of the household (AGE), whether the head of the household has other jobs (OTHER), proportion of agricultural income in the total family income (POA), any immediate relatives living in the water source areas (RELAT), area of cultivated land (AREA), fragmentation of cultivated land (FRAGM), whether aware the farmland is in water source protection zone (AWARE), farmers' evaluation of the impact of pesticides/fertilizers on the environment (IOP/IOF).…”

Section: Variable Selectionmentioning

confidence: 99%

Farmers’ Willingness as Well as Its Compensation Strategy to Prevent and Control Agricultural Non-Point Source Pollution in Water Source Areas-Based on a Comparative Analysis of Pesticide and Fertilizer Inputs

Leng¹,

Pan²

2020

IJSDP

View full text Add to dashboard Cite

This paper took the voluntary pesticide and fertilizer reduction ratios of the farmers as the substitute variables for farmers' willingness to prevent and control the agricultural non-point source pollution. Then, the paper adopted an improved double-bounded dichotomous choice (DBDC) to obtain farmers’ voluntary pesticide and fertilizer reduction ratios and the corresponding compensation attitudes of the farmers. The research found that, in contrast to fertilizers, pesticides are a stronger output-related factor for farmers, and any reduction in pesticides would cause great output fluctuations. After the influencing factors of the farmers’ compensation attitude towards pesticide and fertilizer reduction were subject to ordinal regression analysis, the main influencing factors of farmers’ compensation attitude towards fertilizer and pesticide reduction were obtained respectively, which had further proved that for farmers, compared with pesticides, the risk of fertilizer reduction is lower, and their attitudes are quite different, but as long as the compensation is sufficient, they are willing to take more stringent measures.

show abstract

Farmers’ willingness-to-pay for eco-friendly agricultural waste management in Ethiopia: A contingent valuation

Cited by 76 publications

References 42 publications

Analysis of Households' Willingness to Pay for Improved Solid Waste Management Services in Gondar city, Ethiopia: Evidence from a double-bounded Dichotomous Contingent Valuation Method

Analysis of Households' Willingness to Pay for Improved Solid Waste Management Services in Gondar city, Ethiopia: Evidence from a double-bounded Dichotomous Contingent Valuation Method

Rural Residents’ Awareness of Environmental Protection and Waste Classification Behavior in Jiangsu, China: An Empirical Analysis

Farmers’ Willingness as Well as Its Compensation Strategy to Prevent and Control Agricultural Non-Point Source Pollution in Water Source Areas-Based on a Comparative Analysis of Pesticide and Fertilizer Inputs

Contact Info

Product

Resources

About