Smallholder farmers’ willingness to pay for sustainable land management practices in the Upper Blue Nile basin, Ethiopia

Alemu, Gashaw Tenna; Tsunekawa, Atsushi; Haregeweyn, Nigussie; Nigussie, Zerihun; Tsubo, Mitsuru; Elias, Asres; Ayalew, Zemen; Berihun, Daregot; Adgo, Enyew; Meshesha, Derege Tsegaye; Molla, Dessalegn; Okoyo, Eric Ndemo; Zemedu, Lemma

doi:10.1007/s10668-020-00835-6

Cited by 24 publications

(10 citation statements)

References 47 publications

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“…Although, some farmers claimed that if costs are involved with the opportunity of improving crop yield, then they would not mind paying for it. This result is conformed to Alemu et al (2021) who reported that smallholder farmers' willingness to pay for SLMP in the Upper Blue Nile basin in Ethiopia was found to be 76%.…”

Section: Subp Model Results For Information Acquisitionsupporting

confidence: 89%

Does Information Acquisition Influence the Adoption of Sustainable Land Management Practices? Evidence From Mpumalanga Province South Africa

Oduniyi

Tekana

2021

Front. Sustain. Food Syst.

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Agricultural information plays a vital role in adopting agricultural technology. The study explored if information acquisition is related to the adoption of sustainable land management practices (SLMP) and jointly decided in Mpumalanga Province of South Africa. Primary data were collected through face-to-face interviews, using a proportionate random sampling technique to get 250 smallholder farmers to participate in the survey. A seemingly unrelated bivariate probit (SUBP) model and a recursive bivariate probit (RBP) model were adopted to examine the objective. The statistical estimation of the SUBP showed that there is a relationship, an empirical association between information acquisition and SLMP; while RBP estimation showed that information acquisition was exogenous in the adoption model; thus, the decision to acquire information and adopt SLMP was not jointly decided. Therefore, the study presents the determinants of information acquisition alongside with the adoption of SLPM. The result from the SUBP model, indicated that the years spent in school; agricultural extension service; the number of extension visits and the years of farming, influenced both information acquisition and the adoption of SLMP. The cost attached positively influenced the adoption of SLMP; while gender, marital status and age only influenced the information acquisition.

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Section: Subp Model Results For Information Acquisitionsupporting

confidence: 89%

Does Information Acquisition Influence the Adoption of Sustainable Land Management Practices? Evidence From Mpumalanga Province South Africa

Oduniyi

Tekana

2021

Front. Sustain. Food Syst.

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“…These factors can be classified according to the sources of influence such as internal factors and external factors. Internal factors such as the capacity of the producer /consumer establishment include the size of the labor, the quality of the labor (education level, skills, experience in the consumer manufacturing sector or gender) (Alemu et al, 2020;Antony et al, 2020). External factors include supply markets for products and services, distribution networks, production and consumption customs, scientific and technological achievements (Divilly, 2018;Flydé n & Haglund, 2018;Hsu & Lin, 2018).…”

Section: Explanation Of Driving Parameters Of the Empirical Modelsmentioning

confidence: 99%

Estimated the Willingness to Pay Levels for the Adoption of the Internet of Things-IoTs Technology: An Empirical Study in Swiftlet Farming in Binh Thuan Province, Vietnam

Minh¹,

Tai²,

Quang³

et al. 2022

ASS

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Imported into Vietnam since 2005, domestic swiftlet farming has been being received, noticed, and invested by various stakeholders and multi-local government levels. Entering the digital era, digital technologies are amending the farming of swiftlet and the application of the Internet of Things-IoT technology along with Artificial Intelligence-AI is expanding rapidly. IoTs and Artificial Intelligent positively support farmers in order to collect, synthesize and analyze statistics of data, to be able to self-control, adjust the behavior of the farming activities based on precisely dosed indicators to limit the potential risks due to the enemies of the swiftlet or the bad guys stealing bird's nest. This study investigated 120 producers in Phan Thiet, Ham Thuan Bac, and Bac Binh where the highest population of swiftlet activity in Binh Thuan province, Vietnam. The study applies the Willingness to Pay method in combining with the Linear Regression Model (LRS) to estimate the level of the Willingness to Pay (WTP) and its determinants for the adoption of the Internet of Things (IoTs) technology. The findings indicated that producers agreed to pay 380 million VND (nearly 30% of total investment in equipment and technology) but the level of the WTP showed a large variation: 55 million of lowest group and while more than 1200 million of the highest one. The LRS model with 12 explanatory variables allowed to explain 51% of the factors' influence on the WTP. The findings indicated that should be taken into account the multi-aspects of solutions from producers, enterprises and local government achieve sustainable development in swiftlet farming.

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“…A review of the literature indicates that most studies that use time payments in developing countries implement separate stated preference questions for both time and money payment vehicles (e.g. Gibson et al, 2016;Khanal et al, 2019;Endalew et al, 2020;Girma et al, 2020;Hagedoorn et al, 2020;Navrud and Vondolia, 2020;Alemu et al, 2021). This research design feature is likely due to the fact that combining both time and money attributes in one choice format rarely suits applications other than transportation and recreation demand studies.…”

Section: Literature Review Time-to-money Conversionmentioning

confidence: 99%

Estimating Benefits of Nature-based Solutions: Diverging Values From Choice Experiments With Time or Money Payments

Hagedoorn

Koetse

Beukering

2021

Front. Environ. Sci.

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Nature-based solutions (NBS) provide a promising means to a climate resilient future. To guide investments in NBS, stated preference studies have become a common tool to evaluate the benefits of NBS in developing countries. Due to subsistence lifestyles and generally lower incomes, SP studies in developing countries increasingly use time payments as an alternative to the traditionally implemented money payments. It remains unclear, however, how time values should be converted into money values, how the payment affects willingness to pay (WTP) estimates, and how this influence varies across settings with different levels of market integration. We compare the results of choice experiments that use either time or money payments and that are implemented in urban and rural Ghana. The choice experiments target to value different NBS aimed at erosion prevention and other ecosystem service benefits along the highly erosion prone Ghanaian coastline. Time payments are converted into monetary units using two generic wage-based conversion rates and one novel individual-specific non-wage-based conversion rate. We find higher WTP estimates for the time payments. Moreover, we find that the underlying implicit assumptions related to the currently commonly applied generic wage-based conversion rates do not hold. Finally, we find higher levels of market integration and smaller WTP disparities in the urban site, providing evidence that market integration allows for convergence of WTP estimates. These results provide guidance on the accurate estimation of NBS benefits through the implementation of stated preference studies with time payments.

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Smallholder farmers’ willingness to pay for sustainable land management practices in the Upper Blue Nile basin, Ethiopia

Cited by 24 publications

References 47 publications

Does Information Acquisition Influence the Adoption of Sustainable Land Management Practices? Evidence From Mpumalanga Province South Africa

Does Information Acquisition Influence the Adoption of Sustainable Land Management Practices? Evidence From Mpumalanga Province South Africa

Estimated the Willingness to Pay Levels for the Adoption of the Internet of Things-IoTs Technology: An Empirical Study in Swiftlet Farming in Binh Thuan Province, Vietnam

Estimating Benefits of Nature-based Solutions: Diverging Values From Choice Experiments With Time or Money Payments

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