Estimating the economic value of climate services for strengthening resilience of smallholder farmers to climate risks in Ethiopia: A choice experiment approach

Tesfaye, Abonesh; Hansen, James; Kassie, Girma T.; Radeny, Maren A.O.; Solomon, Dawit

doi:10.1016/j.ecolecon.2019.04.019

Cited by 23 publications

(25 citation statements)

References 28 publications

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“…The scope of CE includes thinking of its value, which is also included in the analysis of the valuation benefit cost [35]. In a CE, respondents need to choose their preferred options from among sets of hypothetical alternatives with different attribute levels.…”

Section: The Ce (Choice Experiment) Designmentioning

confidence: 99%

Constructing an adaptability evaluation framework for community disaster management from an earthquake event

Lin¹,

Lee²

2022

Preprint

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The frequency and intensity of natural disasters continue to increase with climate change, especially earthquake disasters, causing community in the serious damage and casualties. How to improve community awareness and adaptability to disasters is key point for policymakers, because each community may bring different perspectives to understanding community disaster adaptive and resilience. Based on the aspects of adaptive capacity and community resilience, we adopting the choice experiment (CE) to assess the disaster prevention preferences of urban and suburban residents to establish an adaptive evaluation framework for community disaster management. The results show features that affect the differentiation of community residents' participation regarding community disaster management program are : 1) to have a regularly disaster prevention drills, 2) to cooperate drills with local governments, 3) to train to become a disaster prevention vanguard, and 4) to assemble NGOs and government forces to respond for disaster-occurring. The scenario of integrated disaster prevention educations and community organization transformation has the highest welfare effects among all the proposed scenarios; And only if the disaster prevention management preference and disaster perception ability of community residents are applied to the disaster prevention strategy, so that disaster management can be effectively implemented in the community. These findings provide useful theoretical construction and policy inspiration for the government in the development of disaster management and community disaster management organizations.

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Section: The Ce (Choice Experiment) Designmentioning

confidence: 99%

Constructing an adaptability evaluation framework for community disaster management from an earthquake event

Lin¹,

Lee²

2022

Preprint

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“…Thus far, few studies have used choice experiments to study famers' preferences for ICT-based extension tools: Altobelli et al [29,30] considered irrigation advisory services in Italy, Oyakhilomen et al [31,32] studied ICT-enabled extension services, and Tesfaye et al [33] studied climate services in Ethiopia. These studies, however, mostly focus on the preferred content rather than on the characteristics of the interaction with the ICT tool.…”

Section: Introductionmentioning

confidence: 99%

How to Make a Smartphone-Based App for Agricultural Advice Attractive: Insights from a Choice Experiment in Mexico

et al. 2022

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Mobile phone apps can be a cost-effective way to provide decision support to farmers, and they can support the collection of agricultural data. The digitisation of agricultural systems, and the efforts to close the digital divide and to include smallholders, make data ownership and privacy issues more relevant than ever before. In Central and South American countries, smallholders’ preferences regarding data licenses and sharing have largely been ignored, and little attention has been paid to the potential of nonfinancial incentives to increase the uptake of digital solutions and participation by farmers. To investigate incentives for smallholder farmers to potentially use an agricultural advisory app in which they share their data, a Discrete Choice Experiment was designed. Based on a survey of 392 farmers in Mexico, preferences for attributes related to its usage were revealed using a conditional logit (CL) model. To explore heterogeneity, groups and profiles were explored through a latent class (LC) model. The CL model results revealed, for example, farmers’ positive preference to receive support at first use and access to training, while negative preference was found for sharing data with private actors. The LC identified three classes which differ in their preference for attributes such as the degree of data sharing. Furthermore, for example, a farmer’s connectedness to an innovation hub was found to be one of the significant variables in the class membership function. The main contribution of the study is that it shows the importance of nonfinancial incentives and the influence of data sharing on farmer preferences.

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“…ICT can help improve the conditions of rural communities, mainly by persuading financial institutions to enter potential rural markets in unconventional ways [7,49,50]. Mobile phone usage (MPU) helps increase productivity and profitability [51][52][53], alleviates losses affected by environmental disasters [54,55], and mitigates environmental pollution [56]. Compared to that of developed nations, the agricultural sector of emerging countries is dominated by small-scale farming, which can get optimum benefits from ICTs [7,57].…”

Section: Introductionmentioning

confidence: 99%

Toward Cleaner Production: Can Mobile Phone Technology Help Reduce Inorganic Fertilizer Application? Evidence Using a National Level Dataset

Khan

Ray

Kassem

et al. 2021

Land

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Increasing agricultural production and optimizing inorganic fertilizer (IF) use are imperative for agricultural and environmental sustainability. Mobile phone usage (MPU) has the potential to reduce IF application while ensuring environmental and agricultural sustainability goals. The main objectives of this study were to assess MPU, mobile phone promotion policy, and whether the mediation role of human capital can help reduce IF use. This study used baseline regression analysis and propensity score matching, difference-in-differences (PSM-DID) to assess the impact of MPU on IF usage. However, the two-stage instrumental variables method (IVM) was used to study the effects of mobile phone promotion policy on IF usage. This study used a national dataset from 7,987 rural households in Afghanistan to investigate the impacts of MPU and associated promotion policies on IF application. The baseline regression outcomes showed that the MPU significantly reduced IF usage. The evaluation mechanism revealed that mobile phones help reduce IF application by improving the human capital of farmers. Besides, evidence from the DID technique showed that mobile phone promotion policies lowered IF application. These results remained robust after applying the PSM-DID method and two-stage IVM to control endogenous decisions of rural households. This study results imply that enhancing the accessibility of wideband in remote areas, promoting MPU, and increasing investment in information communication technologies (ICTs) infrastructure can help decrease the IF application in agriculture. Thus, the government should invest in remote areas to facilitate access to ICTs, such as having a telephone and access to a cellular and internet network to provide an environment and facility to apply IF effectively. Further, particular policy support must focus on how vulnerable populations access the internet and mobile phone technologies.

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Estimating the economic value of climate services for strengthening resilience of smallholder farmers to climate risks in Ethiopia: A choice experiment approach

Cited by 23 publications

References 28 publications

Constructing an adaptability evaluation framework for community disaster management from an earthquake event

Constructing an adaptability evaluation framework for community disaster management from an earthquake event

How to Make a Smartphone-Based App for Agricultural Advice Attractive: Insights from a Choice Experiment in Mexico

Toward Cleaner Production: Can Mobile Phone Technology Help Reduce Inorganic Fertilizer Application? Evidence Using a National Level Dataset

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