Estimation of farmers’ willingness to pay for water in the agricultural sector

Bozorg‐Haddad, Omid; Malmir, Marzieh; Mohammad-Azari, Sahar; Loáiciga, Hugo A.

doi:10.1016/j.agwat.2016.08.011

Cited by 17 publications

(13 citation statements)

References 29 publications

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“…The negative signs of both variables indicate that their increase reduces farmer WTP. These result show that the social characteristics do not affect the value of farmer WTP, 12 The similar result identified by [24] who found that, when faced with water scarcity, farmers employ irrigation system with high efficiency to reduce the use and cost of water and change cropping pattern to cultivate crops with low water requirements. the identical result has also been identified by [15] who identified the determinants of WTP for groundwater in Iran.…”

Section: Determinants Of Willingness To Paysupporting

confidence: 67%

Determinants of willingness to pay for non-technical irrigation in East Java, Indonesia

Rondhi¹,

Peratama²,

Budiman³

et al. 2018

Preprint

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Declining water supply is the main cause of rising water fee for agricultural use. Moreover, in non-technical irrigation, poor irrigation infrastructure exacerbates water scarcity. Thus, the purpose of this study is to identify farmer willingness to pay for non-technical irrigation and its determinants. Structured questionnaire was used to collect data from 100 farmers. Contingent valuation method was employed to elicit farmer WTP and multiple linear regression was used to find its determinants. The result shows that farmer average WTP is Rp 3,055,168 /ha/year. It accounts for 20 percent of total farmer revenue and almost 20 times fee for technical irrigation. Economic and technical variables are the significant determinants of WTP while social variables seem insignificant to WTP. This result indicates high economic value of water, and to improve irrigation management we recommend establishing irrigation infrastructure gradually by mobilizing farmer resources (capital and management) and strengthening WUA.

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Section: Determinants Of Willingness To Paysupporting

confidence: 67%

Determinants of willingness to pay for non-technical irrigation in East Java, Indonesia

Rondhi¹,

Peratama²,

Budiman³

et al. 2018

Preprint

View full text Add to dashboard Cite

show abstract

“…The problem is compounded by the fact that instances of lower than average water supply often coincide with higher than average need for irrigation. A wide range of mathematical programming techniques have been applied, individually and in combination, to support irrigation planning including multistage stochastic programming (28% of articles on irrigation in the sample including [34,54,173]), stochastic dynamic programming (25% of articles on irrigation in the sample including [12,22,158]), inexact programming, including fuzzy and interval-based programming, (36% of articles on irrigation in the sample, for example [35,105,152]) and nonlinear programming (14% of articles on irrigation in the sample including [10,25]). The problem has been studied at various levels ranging from the farm level [22,83,92] to the level of a large water system or country [107,144,221].…”

Section: Agricultural Irrigationmentioning

confidence: 99%

Review of Mathematical Programming Applications in Water Resource Management Under Uncertainty

Archibald

Marshall

2018

Environ Model Assess

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Economic development, variation in weather patterns and natural disasters focus attention on the management of water resources. This paper reviews the literature on the development of mathematical programming models for water resource management under uncertainty between 2010 and 2017. A systematic search of the academic literature identified 448 journal articles on water resource management for examination. Bibliometric analysis is employed to investigate the methods that researchers are currently using to address this problem and to identify recent trends in research in the area. The research reveals that stochastic dynamic programming and multistage stochastic programming are the methods most commonly applied. Water resource allocation, climate change, water quality and agricultural irrigation are amongst the most frequently discussed topics in the literature. A more detailed examination of the literature on each of these topics is included. The findings suggest that there is a need for mathematical programming models of large-scale water systems that deal with uncertainty and multiobjectives in an effective and computationally efficient way.

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“…Bozorg-Haddad et al (2016) estimated farmer's response to the price of agricultural water. No effect on water use was found under low prices compared to non-priced water.…”

Section: Introductionmentioning

confidence: 99%

Optimizing Irrigation Depth Using a Plant Growth Model and Weather Forecast

Baki¹,

Fujimaki²,

Tokumoto³

et al. 2018

JAS

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Numerical models of crop response to irrigation and weather forecasts with internet access should be fully utilized in modern irrigation management. In this respect, we developed a new numerical scheme to optimize irrigation depth that maximizes net income. Net income was calculated as a function of cumulative transpiration over irrigation interval which depends on irrigation depth. To evaluate this scheme, we carried out a field experiment for groundnut (Arachis hypogaea L.) grown in a sandy field of the Arid Land Research Center, Tottori University, Japan. Two treatments were established to compare the net income of the proposed scheme with that of an automated irrigation system. Results showed that although the proposed scheme gave a larger amount of seasonal irrigation water 28%, it achieved 2.18 times of net income owing to 51% higher yield compared to results of the automated irrigation system. This suggests that the proposed scheme would be more economical tool than automated irrigation systems to optimize irrigation depths.

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Estimation of farmers’ willingness to pay for water in the agricultural sector

Cited by 17 publications

References 29 publications

Determinants of willingness to pay for non-technical irrigation in East Java, Indonesia

Determinants of willingness to pay for non-technical irrigation in East Java, Indonesia

Review of Mathematical Programming Applications in Water Resource Management Under Uncertainty

Optimizing Irrigation Depth Using a Plant Growth Model and Weather Forecast

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