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Comparison of Different Water Supply Risk Management Tools for Irrigators: Option Contracts and Insurance

Abstract

Irrigators must cope with the risk of not having enough water to meet crop demands. There are different tools for managing this risk, including water market mechanisms and insurance. Given the choice, farmers will opt for the tool that offers the greatest positive change in expected utility. This paper presents a theoretical assessment of farmers’ expected utility for two different water option contracts and a drought insurance policy. We analyze the conditions that determine farmers’ preferences for these instruments and perform a numerical application to a water-stressed Spanish region. Results show that farmers’ willingness to pay for the considered risk management tools are greater than the preliminary estimates of these instruments costs. This suggests that option contracts and insurance may help farmers manage water supply availability risks.

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Notes

  1. A MGF of a random variable is a specification of its probability distribution, which is a convenient means of collecting together all the moments of a random variable into a single power series.

  2. Our assessment takes into account only the changes in farmers’ expected utility caused by differences in water availability (due to an option contract or an insurance).

  3. \(b=c-P_{w}; c\) is the marginal profit of water use and \(P_w \) is the water tariff.

  4. This applies to farmers relying on inter-basin transfers, where, because of area-of-origin preferences, no volume is transferred unless minimum water volumes are stored in the region whence the transfer is derived. Any other condition can be established as a trigger for the option contract in its place.

  5. A farmer exercising the water supply option contract will pay\(P_w \) plus \(P_e\) for the optioned volume \(P_e\), defined as a surcharge on top of the price paid for the normal source of water supply \((P_w) \). If the exercise price agreed in the option contract were lower than the price paid for the normal source of water supply, \(P_e \) would then be negative. This is not a very common situation, but it can occur when the contract is established between water users who have very different water productivities. In order to simplify the presentation of this approach, unless otherwise stated, only positive \(P_e\) values are considered in the analysis. An example of an inter-basin exchange with a lower exercise price than \(P_w\) that took place in the Spanish water market is presented in Sect. 5.

  6. \({ MGF}_{{w}} \left( {-{rb}} \right) ={ UIMGF}_{{w}} \left( {-{rb}} \right) +{ LIMGF}_{{w}} \left( {-{rb}} \right) \). UIMGF and the LIMGF are calculated in the same way, the only difference being the value of the integral limits (the expression of \({ UIMGF}_{{w}} \left( {-{rb}} \right) \) is given in “Appendix 3”).

    $$\begin{aligned} { LIMGF}_{{w}} \left( {-{rb}} \right) = {MGF}_{{w}} \left( {-{rb}} \right) \left[ {-{Q}\left( {{\upalpha },\left( {{\lambda }+{rb}} \right) {w}_{{g}} } \right) +1} \right] \end{aligned}$$

    Q (.) is a regularized gamma function.

  7. \({ LIMGF}_{{w}} \left( {-{ rP}_{{e}} } \right) ={\mathop {\int }\nolimits _{0}^{{{w}}_{{g}}}} {e}^{-{{ rP}}_{{e}} {w}}{f}\left( {w} \right) { dw}\). As \({P}_{{e}} =0\); then \(\mathop \int \nolimits _{0}^{{w}_{{g}}} {e}^{0}{f}\left( {w} \right) { dw}=\mathop {\int } \nolimits _0^{{w}_{{g}} } {f}\left( {w} \right) {dw}={\gamma }\).

  8. Equation (17) can be rewritten as \({\mathop {\int } \nolimits _0^{w_{g}}} (1-e^{-rP_e \left( {w-w_g } \right) })f\left( w \right) dw<0,\) where \({\mathop {\int }\nolimits _0^{w_g }} (1-e^{-rP_e \left( {w-w_g } \right) })f\left( w \right) dw\) is the expected utility of \(\left( {-P_e \left( {w-w_g } \right) } \right) \), i.e., the expected disutility of the increase in the cost of water due to obtaining it through the option contract instead of from the usual water source. If \(P_e <0\), this expected utility would be positive and thus \(R_{ins} <R_{opt_b }\).

  9. Obviously, irrigators will only sign the option contract if their WTP (risk premium, \(R\)) is greater than the price that they have to pay for the contract \((P); R>P\).

  10. See “Appendix 6”, showing the remaining comparisons between the proposed tools.

  11. A comparative statics analysis has been carried out in order to determine the influence of the main parameters on the value of the risk premium for each instrument. This material is available from the authors upon request.

  12. http://www.crcc.es/informacion-general/informacion-c-r-c-c/.

  13. As the \(p\) value approaches one, we have no basis to reject the hypothesis that the fitted distribution actually generated our data set (Source: @Risk Manual).

  14. Wealth data sourced from the Spanish Farm Accountancy Data Network (RECAN), published by the Spanish Ministry of Agriculture, Food and Environment, MAGRAMA, http://www.magrama.gob.es/es/estadistica/temas/estadisticas-agrarias/economia/red-contable-recan/.

  15. We are aware of agreements between water users in the Tagus (sellers) and Segura basins (buyers) to sell water at a price of . If there is a drought period and they are exempted from paying the aqueduct tariff, the final price of this water would be lower than the usual water price.

  16. http://www.scrats.es/wp-content/uploads/2013/10/131014-ENMIENDAS-ATS-_TEXTO-DEFINITIVO_.pdf .

  17. Nevertheless, in practice, the costs of insurance are usually very high, reaching levels sometimes unaffordable for potential customers. That is why agricultural insurance policies are subsidized in most countries. However, insuring water shortages based on clearly objective and transparent measures (such as those governing the Tagus–Segura Aqueduct and transfers) would perhaps be offered at reduced administrative costs, because there is no need to adjust losses in the fields. They could even be attached, as an optional guarantee, to already offered insurance policies covering crop losses. In this case, no matter whether the policy is subsidized, the administration and commercial cost of the premium may be reduced.

Abbreviations

CARA:

Constant absolute risk aversion

DARA:

Decreasing absolute risk aversion

MGF:

Moment generating function

PDF:

Probability density function

CV:

Coefficient of variation

WTP:

Willingness to pay

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Acknowledgments

This study has been developed in the framework of the European project ‘Water Markets Scenarios for Southern Europe: new solutions for coping with water scarcity and drought risk?’ WATER CAP & TRADE (ERA-Net, P100220C-631).

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Correspondence to Dolores Rey.

Appendices

Appendix 1: Farmers’ Expected Utility with No Risk Management Tool

$$\begin{aligned} EU_0 \left( {\widetilde{\uppi }} \right)= & {} \mathop \int \nolimits _0^{\overline{w}} U\left( {\widetilde{\pi } _0 }\right) f\left( w \right) dw\nonumber \\= & {} \mathop \int \nolimits _0^{\overline{w}}\left[ {1-e^{-r\left( {a+bw} \right) }} \right] f\left( w \right) dw\nonumber \\= & {} \mathop \int \nolimits _0^{\overline{w}} f\left( w \right) dw - \mathop \int \nolimits _0^{\overline{w}} e^{-ra} e^{-rbw} f\left( w \right) dw \nonumber \\= & {} 1-e^{-ra}\mathop \int \nolimits _0^{\overline{w}} e^{-rbw }f\left( w \right) dw \nonumber \\= & {} 1-e^{-ra}{\textit{MGF}}_w \left( {-rb} \right) \end{aligned}$$
(21)

Appendix 2: Expected Utility and Risk Premium with Option Contract (a)

$$\begin{aligned} EU_{opt_a } \left( {\widetilde{\pi } } \right)= & {} Z{\mathop {\int }\nolimits _{0}^{w_{g}}} \left[ {1-e^{-r\left( {a+bw_g -P_{opt_a } -P_e \left( {w_g -w} \right) } \right) }} \right] f\left( w \right) dw\nonumber \\&\quad +\,\left( {1-Z} \right) {\mathop {\int }\nolimits _{0}^{w_{g}}} \left[ {1-e^{-r\left( {a+bw-P_{opt_a } } \right) }} \right] f\left( w \right) dw\nonumber \\&\quad +\,{\mathop {\int }\nolimits _{w_{g}}^{\bar{w}}} \left[ {1-e^{-r\left( {a+bw-P_{opt_a } } \right) }} \right] f\left( w \right) dw\nonumber \\= & {} Z\gamma - Ze^{{ - r(a + bw_{g} - P_{{opt_{a} }} - P_{e} w_{g} )}} {\textit{LIMGF}}_{w} ( - rP_{e} )\nonumber \\&\quad +\,\gamma - e^{{ - r(a - P_{{opt_{a} }} )}} {\textit{LIMGF}}_{w} ( - rb) - Z\gamma \nonumber \\&\quad +\,Ze^{{ - r(a - P_{{opt_{a} }} )}} {\textit{LIMGF}}_{w} ( - rb) + (1 - \gamma ) - e^{{ - r(a - P_{{opt_{a} }} )}} {\textit{UIMGF}}_{w} ( - rb) \nonumber \\= & {} 1 - e^{{ - r(a - P_{{opt_{a} }} )}} ({\textit{UIMGF}}_{w} ( - rb) + {\textit{LIMGF}}_{w} ( - rb)) \nonumber \\&\quad -\,Ze^{{ - r(a + bw_{g} - P_{{opt_{a} }} - P_{e} w_{g} )}} {\textit{LIMGF}}_{w} (-rP_{e} )\nonumber \\&\quad +\,Ze^{{ - r(a - P_{{opt_{a} }} )}} {\textit{LIMGF}}_{w} (- rb) =1-e^{-r\left( {a-P_{opt_a } } \right) }{\textit{MGF}}_w \left( {-rb} \right) \nonumber \\&\quad -\,Ze^{-r\left( {a+bw_g -P_{opt_a } -P_e w_g } \right) }{\textit{LIMGF}}_w \left( {-rP_e } \right) \nonumber \\&\quad +\,Ze^{-r\left( {a-P_{opt_a } } \right) }{\textit{LIMGF}}_w \left( {-rb} \right) \end{aligned}$$
(22)
$$\begin{aligned} EU_0 \left( {\widetilde{\pi } } \right)= & {} EU_{opt_a } \left( {\widetilde{\pi } } \right) \\ 1-e^{-ra}{\textit{MGF}}_w \left( {-rb} \right)= & {} 1-e^{-r\left( {a-R_{opt_a } } \right) }{\textit{MGF}}_w \left( {-rb} \right) \end{aligned}$$
$$\begin{aligned}&\quad -Ze^{-r\left( {a+bw_g -R_{opt_a } -P_e w_g } \right) }{\textit{LIMGF}}_w \left( {-rP_e } \right) +\,Ze^{-r\left( {a-R_{opt_a } } \right) }{\textit{LIMGF}}_w \left( {-rb} \right) \nonumber \\&\quad -\,e^{-ra}{\textit{MGF}}_w \left( {-rb} \right) = -e^{-ra}e^{rR_{opt_a } }\left[ {\textit{MGF}}_w \left( {-rb} \right) +Ze^{-r\left( {b-P_e } \right) w_g }{\textit{LIMGF}}_w \left( {-rP_e } \right) \right] \nonumber \\&\quad -\,{\textit{ZLIMGF}}_w \left( {-rb} \right) \nonumber \\&R_{opt_a } = \frac{1}{r} ln\left( {\frac{{\textit{MGF}}_w \left( {{-}rb} \right) }{\left( {1{-}Z} \right) {\textit{MGF}}_w \left( {{-}rb} \right) +\hbox {Z}\left[ {e^{{-}r\left( {b{-}P_e } \right) w_g }{\textit{LIMGF}}_w \left( {{-}rP_e } \right) +{\textit{UIMGF}}_w \left( {{-}rb} \right) } \right] }} \right) \nonumber \\ \end{aligned}$$
(23)

Appendix 3: Upper Incomplete Moment Generation Function (UIMGF)

We consider that variable \(\widetilde{w}\) follows a gamma distribution \(f(w)\):

$$\begin{aligned} f\left( w \right)= & {} \frac{\lambda ^{\alpha }}{{\Gamma }\left( \alpha \right) }w^{\alpha -1}e^{-\lambda w}\nonumber \\ {\textit{UIMGF}}_w \left( {-rb} \right)= & {} \mathop \int \nolimits _{w_g }^{\overline{w}} e^{-rbw}\frac{\lambda ^{\alpha }}{{\Gamma }\left( \alpha \right) }w^{\alpha -1}e^{-\lambda w} dw= \left[ {-\frac{\lambda ^{\alpha }w^{\alpha }E_{1-\alpha } \left( {\left( {\lambda +rb} \right) w} \right) }{{\Gamma }\left( \alpha \right) }} \right] _{w_g }^{\overline{w}} \end{aligned}$$
(24)

\(E\) is an exponential integral function.

$$\begin{aligned} E_n \left( z \right)= & {} z^{n-1}{\Gamma }\left( {1-n,z} \right) \\ E_{1-\alpha } \left( {\left( {\lambda +rb} \right) w} \right)= & {} \left( {\left( {\lambda +rb} \right) w} \right) ^{-\alpha }{\Gamma }\left( {\alpha ,\left( {\lambda +rb} \right) w} \right) \end{aligned}$$

So, the expression of \({{\textit{UIMGF}}}_{w}(-{rb})\) is

$$\begin{aligned} {\textit{UIMGF}}_w \left( {-rb} \right)= & {} -\frac{\lambda ^{\alpha }}{{\Gamma }\left( \alpha \right) }\left[ {w^{\alpha }\left( {w\left( {\lambda +rb} \right) } \right) ^{-\alpha }{\Gamma }\left( {\alpha ,\left( {\lambda +rb} \right) w} \right) } \right] _{w_g }^{\overline{w}}\nonumber \\= & {} -\frac{\lambda ^{\alpha }}{{\Gamma }\left( \alpha \right) }\left[ {\left( {\lambda +rb} \right) ^{-\alpha }{\Gamma }\left( {\alpha ,\left( {\lambda +br} \right) w_g } \right) } \right] _{w_g }^{\overline{w}}\nonumber \\= & {} \frac{\lambda ^{\alpha }}{\left( {\lambda +rb} \right) ^{\alpha }}\left[ {\frac{-{\Gamma }\left( {\alpha ,\left( {\lambda +rb} \right) w_g } \right) }{{\Gamma }\left( \alpha \right) }} \right] _{w_g }^{\overline{w}}\nonumber \\= & {} {\textit{MGF}}_w \left( {-rb} \right) \left( {\left[ {Q\left( {\alpha ,\left( {\lambda +rb} \right) w_g } \right) } \right] -\left[ {Q\left( {\alpha ,\left( {\lambda +rb} \right) {\overline{w}}} \right) } \right] } \right) \end{aligned}$$
(25)

\(Q\)(.) is the regularized gamma function, whose domain is [0,1].

Appendix 4: Expected Utility and Risk Premium with Option Contract (b)

If we assume that irrigators will always exercise the option at the maturity date when their water allotment is below \(w_{g}\), their profit function is

$$\begin{aligned} \widetilde{\pi } _{opt_b } \left( w \right)= & {} a+b\widetilde{w}-P_{opt_b } \quad if\quad \widetilde{w}\ge w_g\nonumber \\ \widetilde{\pi } _{opt_b } \left( w \right)= & {} a+b\hbox {w}_g -P_{opt_b } -P_e \left( {w_g -\widetilde{w}} \right) \quad if \quad \widetilde{w}<w_g \end{aligned}$$
$$\begin{aligned} EU_{opt_b } \left( {\widetilde{\pi } } \right)= & {} \mathop \int \nolimits _0^{w_g } \left[ {1-e^{-r\left( {a+bw_g -P_{opt_b } -P_e \left( {w_g -w} \right) } \right) }} \right] f\left( w \right) dw\nonumber \\&+\,\mathop \int \nolimits _{w_g }^{\overline{w}} \left[ {1-e^{-r\left( {a+bw-P_{opt_b } } \right) }} \right] f\left( w \right) dw\nonumber \\= & {} \gamma -e^{-r\left( {a+bw_g -P_{opt_b } -P_e w_g } \right) }\mathop \int \nolimits _0^{w_g } e^{-rP_e w}f\left( w \right) dw\nonumber \\&+\,\left( {1-\gamma } \right) -e^{-r\left( {a-P_{opt_b } } \right) }\mathop \int \nolimits _{w_g }^{\overline{w}} e^{-rbw} f\left( w \right) dw\nonumber \\= & {} 1-e^{-r\left( {a+bw_g -P_{opt_b } -P_e w_g } \right) }{\textit{LIMGF}}_w \left( {-rP_e } \right) -e^{-r\left( {a-P_{opt_b } } \right) }{\textit{UIMGF}}_w \left( {-rb} \right) \nonumber \\ \end{aligned}$$
(26)
$$\begin{aligned} EU_0 \left( {\widetilde{\pi } } \right)= & {} EU_{opt_b } \left( {\widetilde{\pi } } \right) \nonumber \\ 1-e^{-ra}{\textit{MGF}}_w \left( {-rb} \right)= & {} 1-e^{-r\left( {a+bw_g -R_{opt_b } -P_e w_g } \right) }{\textit{LIMGF}}_w \left( {-rP_e } \right) \nonumber \\&\quad -e^{-r\left( {a-R_{opt_b } } \right) }{\textit{UIMGF}}_w \left( {-rb} \right) \nonumber \\ -e^{-ra}{\textit{MGF}}_w \left( {-rb} \right)= & {} -e^{-r\left( {a+bw_g -R_{opt_b } -P_e w_g } \right) }{\textit{LIMGF}}_w \left( {-rP_e } \right) \nonumber \\&\quad -e^{-r\left( {a-R_{opt_b } } \right) }{\textit{UIMGF}}_w \left( {-rb} \right) \nonumber \\ {\textit{MGF}}_w \left( {-rb} \right)= & {} e^{rR_{opt_b } }\left[ {e^{-r\left( {b-P_e } \right) w_g }{\textit{LIMGF}}_w \left( {-rP_e } \right) +{\textit{UIMGF}}_w \left( {-rb} \right) } \right] \nonumber \\ R_{opt_b }= & {} \frac{1}{r}\ln \left( {\frac{{\textit{MGF}}_w \left( {-rb} \right) }{e^{-r\left( {b-P_e } \right) w_g }{\textit{LIMGF}}_w \left( {-rP_e } \right) +{\textit{UIMGF}}_w \left( {-rb} \right) }} \right) \end{aligned}$$
(27)

Appendix 5: Expected Utility and Risk Premium with Insurance

The farmers’ profit function in this case is

$$\begin{aligned} \widetilde{\pi } _{ins} \left( w \right)= & {} a+b\widetilde{w} -P_{ins}\quad if\quad \widetilde{w}\ge w_g\\ \widetilde{\pi } _{ins} \left( w \right)= & {} {a+b\hbox {w}_{g}} -{P}_{ins} \quad if \quad \widetilde{w}<w_g \end{aligned}$$
$$\begin{aligned} EU_{ins} \left( {\widetilde{\pi } } \right)= & {} \mathop \int \nolimits _0^{w_g } 1-e^{-r\left( {a+bw_g -P_{ins} } \right) }f\left( w \right) dw\nonumber \\&+\,\mathop \int \nolimits _{w_g }^{\overline{w}} 1-e^{-r\left( {a+bw-P_{ins} } \right) }f\left( w \right) dw\nonumber \\= & {} \gamma -\gamma e^{-r\left( {a+bw_g -P_{ins} } \right) }+\left( {1-\gamma } \right) -e^{-r\left( {a-P_{ins} } \right) }{\textit{UIMGF}}_w \left( {-rb}\right) \nonumber \\= & {} 1-\gamma e^{-r\left( {a+bw_g -P_{ins} } \right) }-e^{-r\left( {a-P_{ins} } \right) }{\textit{UIMGF}}_w \left( {-rb} \right) \end{aligned}$$
(28)
$$\begin{aligned} EU_0 \left( {\widetilde{\pi } } \right)= & {} EU_{ins} \left( {\widetilde{\pi } } \right) \nonumber \\ 1-e^{-ra}{\textit{MGF}}_w \left( {-rb} \right)= & {} 1-\gamma e^{-r\left( {a+bw_g -R_{ins} } \right) }-e^{-r\left( {a-R_{ins} } \right) }{\textit{UIMGF}}_w \left( {-rb} \right) \nonumber \\ R_{ins}= & {} \frac{1}{ r} ln \left( {\frac{{\textit{MGF}}_w \left( {-rb} \right) }{\gamma e^{-rbw_g }+ {\textit{UIMGF}}_w \left( {-rb} \right) }} \right) \end{aligned}$$
(29)

Appendix 6: Comparison of Instruments

1.1 Comparison Between the Two Option Contracts (a) and (b)

We first compare the risk premiums and then assess the conditions that make one instrument more attractive to the farmer than the other. \(R_{opt_b}\) will be greater than \(R_{opt_a}\) for all cases. Intuitively, the conclusion is the same, as option contract (b) offers more guarantees than contract (a), and the probability of the farmer being able to purchase the optioned volume at the maturity date is greater.

If \(R_{opt_b } >R_{opt_a } \), then

$$\begin{aligned}&e^{-r\left( {b-P_e } \right) w_g }{\textit{LIMGF}}_w \left( {-rP_e } \right) + {\textit{UIMGF}}_w \left( {-rb} \right) \nonumber \\&\quad <\left( {1-Z} \right) {\textit{MGF}}_w \left( {-rb} \right) +\hbox {Z }\left[ {e^{-r\left( {b-P_e } \right) w_g }{\textit{LIMGF}}_w \left( {-rP_e } \right) +{\textit{UIMGF}}_w \left( {-rb} \right) } \right] \nonumber \\&e^{-r\left( {b-P_e } \right) w_g }{\textit{LIMGF}}_w \left( {-rP_e } \right) + {\textit{UIMGF}}_w \left( {-rb} \right) < {\textit{MGF}}_w \left( {-rb} \right) \end{aligned}$$
(30)

For \(R_{opt_b } \) to be positive, the above expression must hold (as the numerator of the logarithm on the right side of the expression has to be greater than the denominator on the left side).

We calculate the conditions that determine whether farmers will take out an option contract or insurance thus:

$$\begin{aligned} P_{opt_b } - P_{opt_a } <\frac{1}{r} ln\left( {\frac{D_{opt_a } }{D_{opt_b } }} \right) \end{aligned}$$
(31)

If \(P_{opt_b } <P_{opt_a } +\frac{1}{r} ln\left( {\frac{D_{opt_a } }{D_{opt_b } }} \right) \), they would choose the option contract (b); and if \(P_{opt_b } >P_{opt_a } +\frac{1}{r }\ln \left( {\frac{D_{opt_a } }{D_{opt_b } }} \right) \), they would purchase the option contract (a) \((D_{opt_a } \) is always higher than \(D_{opt_b } )\). The farmer would be indifferent to the two if \( P_{opt_b } =P_{opt_a } +\frac{1}{r} ln\left( {\frac{D_{opt_a } }{D_{opt_b } }} \right) \).

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Rey, D., Garrido, A. & Calatrava, J. Comparison of Different Water Supply Risk Management Tools for Irrigators: Option Contracts and Insurance. Environ Resource Econ 65, 415–439 (2016). https://doi.org/10.1007/s10640-015-9912-2

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