Irrigation Advisory Services: Farmers preferences and willingness to pay for innovation

Altobelli, Filiberto; Marta, Anna Dalla; Heinen, M.; Jacobs, Claire; Giampietri, Elisa; Mancini, Marco; Cimino, Orlando; Trestini, Samuele; Kranendonk, R.P.; Chanzy, André; Debolini, Marta; Courault, Dominique; Kanecka‐Geszke, Ewa; Kasperska-Wołowicz, Wiesława; Blanco-Velázquez, Francisco José; Anaya‐Romero, María; Witt, Marlene de; Clercq, Willem de; Espejo, Antonio Diaz; Hernández‐Santana, Virginia; Caracciolo, Francesco; Giudice, Teresa Del

doi:10.1177/00307270211002848

Cited by 11 publications

(9 citation statements)

References 39 publications

(27 reference statements)

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“…Farmer's age, on the other hand, had interestingly a significant positive relationship with high risk aversion of farmer's behavior. The result is similar to that of the works of Altobelli et al (2021), Dilshad et al (2019), Iqbal et al (2016 and Ullah et al (2015) and in contrast with the works of Dadzie and Acquah (2012) and Saqib et al (2016). The positive and significant coefficients of age show that aged farmers are more risk-averse than young farmers and thus when the age increases, farmers become more risk-averse.…”

Section: Factors Explaining Risk Aversion Behavior Of Maize Farmerssupporting

confidence: 82%

Characterizing Risk Behaviour of Maize Farmers using the Experimental Gambling Approach: An Empirical Study in Ghana

Dadzie

Larbi

Ghartey

2022

Caraka Tani J. Sustain. Agric.

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<p>Along the maize value chain in Ghana are a wide range of risks that confront actors; the risk chain actors' face include production and marketing risks. Accordingly, risk management, which has become an integral part of maize value chain activities, is challenged with several factors, some of which are economic, institutional, social and behavioral factors. This study posits that risk preferences/behavior of farm decision-makers in the maize value chain have empirical importance for economic and policy analysis. Thus, an experimental gambling approach was used to elicit the risk aversion behavior of respondents (farmers). Here, the respondents' risk aversion behavior over varying game levels was investigated. The multinomial logit model was used to investigate endogenous and exogenous factors explaining the risk behavior. The data were obtained by interviewing 220 maize farmers who were sampled with a two-stage sampling procedure. This study revealed that most of the farmers in the study area exhibited risk aversion behavior. About 33% of farmers showed extreme risk aversion behavior at the games’ lowest level and increased to 45% as the game level rose. It was also found that sex, age, level of formal education, access to credit, access to the storage facility, household size, farm size and the number of extension visits to the farm significantly explained the risk aversion behavior the maize farmers exhibited. Because farmers are risk-averse and become more risk-averse as stakes become high, any farm innovations to be introduced to them must be implemented gradually, especially with the low-income farmers. It is also critical to make risk mitigation 'handles' available to farmers so that they can rely on them during times of risk.</p>

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Section: Factors Explaining Risk Aversion Behavior Of Maize Farmerssupporting

confidence: 82%

Characterizing Risk Behaviour of Maize Farmers using the Experimental Gambling Approach: An Empirical Study in Ghana

Dadzie

Larbi

Ghartey

2022

Caraka Tani J. Sustain. Agric.

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“…Along with it, the behavioral and socio-economic determinants of farmers for the adoption of these efficient irrigation technologies are also evolving. The success of these technologies can be supported by the integration of stakeholders' needs in the design of IASs [10,11].…”

Section: Introductionmentioning

confidence: 99%

An Analysis of Preference Weights and Setting Priorities by Irrigation Advisory Services Users Based on the Analytic Hierarchy Process

Donati,

Viaggi,

Srdjevic

et al. 2023

Agriculture

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Objective: Stakeholders—farmers from four different European areas (Campania (IT), Kujawsko-Pomorskie (PL), Limburg (NL), Andalusia (ES))—are asked to share, from the OPERA project, their opinions on five criteria that all aim at improving the use of irrigation advisory services (IASs). Each criterion has different characteristics that affect the way farmers rank it. The present study has two objectives. The first is to individuate the priorities of the preferences expressed by the stakeholders. The second objective is to carry out a ranking of the weights of the criteria by case study, ranking the groups and their associated properties among farmers’ profiles. Methods: The answers to 120 questionnaires dispensed to the future users of IASs in the four agricultural sites were analyzed in detail, and then the given priorities were evaluated through the analytic hierarchy process (AHP). The AHP methodology was used to determine the relative weights of the five assessment criteria, and finally, to select the one with major value. Results and conclusions: The results show that A5 (assuring economic sustainability) was the most important criterion. The contributions provided by this study are twofold: Firstly, it presents an application of a methodology that involves the conversion of a linguistic judgement of farmers in a correspondence weight. Secondly, it tackles decision making regarding improving the use of IASs, evaluating the preferences expressed by the stakeholders. Irrigation advisory services can play a key role in assisting users to adopt new techniques and technologies for more efficient water use and increased production.

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“…Irrigation advisory services (IASs) (i.e., achieving efficiency in irrigation water use) represent a potential response to this emerging need [7,8]. IASs can optimize water management in agriculture thanks to tools and techniques ranging from traditional irrigation scheduling that advises farmers on when and how to irrigate, to Earth-observation (EO), satellite-based technologies, the internet of things (IoT) and unmanned aerial vehicles (UAVs).…”

Section: Introductionmentioning

confidence: 99%

“…BM concepts have been previously applied to other irrigation technologies such as smart irrigation networks [17], pivot irrigation systems [18], or solar pumps [19,20]. As opposite, to the best of our knowledge, there is a lack of BM application to IASs, as the literature focused mainly on quantifying the benefits associated with the adoption of the service [9,21] and on the investigation of potential users' preferences and willingness to pay [8].…”

Section: Introductionmentioning

confidence: 99%

A Step toward Water Use Sustainability: Implementing a Business Model Canvas for Irrigation Advisory Services

Santini

Fonzo²,

Giampietri

et al. 2023

Agriculture

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Some major future global challenges are linked to more efficient use of water for irrigation to respond to the growing water scarcity coupled with the increasing food demand. Although irrigation advisory services (IASs) are considered effective instruments to increase water use efficiency in agriculture, their diffusion remains limited. This is due to several constraints mainly linked to their low accessibility and high costs. To overcome the bottlenecks associated with IASs’ adoption, this paper proposes a business model (BM) as a tool for scaling up IASs within a business perspective, with the aim of encouraging the diffusion of this technology while enhancing the associated environmental and social benefits. Drawn from the experience of the OPERA project, we structured the business model taking advantage of the opinion of relevant stakeholders and IASs’ potential users to identify specific limitations and understand their needs. It turned out that farmers are willing to adopt IASs but require that the service is easily accessible, with high-quality information that are delivered at an affordable cost. Indeed, here a BM with an innovative way to produce and deliver value is proposed. The value proposition is built upon key features namely, integration, customization, accessibility, and sustainability that reflect users’ needs and preferences. Our BM also provides a detailed revenues strategy that guarantees the financial sustainability of IASs. To design and represent our BM, the “Business Model Canvas ©” has been adopted. We concluded that an innovative and well-structured BM has the potential to leave the IASs profitable and capable to ensure environmental and social sustainability.

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Irrigation Advisory Services: Farmers preferences and willingness to pay for innovation

Cited by 11 publications

References 39 publications

Characterizing Risk Behaviour of Maize Farmers using the Experimental Gambling Approach: An Empirical Study in Ghana

Characterizing Risk Behaviour of Maize Farmers using the Experimental Gambling Approach: An Empirical Study in Ghana

An Analysis of Preference Weights and Setting Priorities by Irrigation Advisory Services Users Based on the Analytic Hierarchy Process

A Step toward Water Use Sustainability: Implementing a Business Model Canvas for Irrigation Advisory Services

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