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Conservation agriculture in Ecuador’s highlands: a discrete choice experiment

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Abstract

Conservation agriculture has successfully spread in a number of developing country contexts, resulting in both positive production and environmental impacts. However, there are ongoing questions about the appropriateness of conservation agriculture for small-scale farming as poor farmers tend to be risk averse, typically lack access to credit, and may have planning horizons associated with heavily discounted future benefits. This study investigates farmer attitudes toward how a hypothetical set of conservation agriculture production practices will affect yield, labor use, erosion, and cost in two communities of Bolivar province, Ecuador, through the implementation of a discrete choice experiment. Results show producers are most concerned with future yields, planting labor, and overall costs. While off-farm erosion impacts are of concern, producers only placed small values on these impacts. Results provide support for conservation agriculture outreach to highlight practices that increase long-run production and reduce the time and technical skills associated with planting.

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Notes

  1. Melloco, from the Basellacae family, is an edible tuber produced in the Andean region.

  2. United States Agency for International Development (USAID).

  3. Due to financial and time constraints, all surveys had to be completed over 3 weeks (15 days, M-F). The geography of each watershed is such that producers are not in close proximity to one another nor are their farms necessarily adjacent to the road. These conditions mean that enumerators had to walk long distances to conduct the interviews. After multiple discussions with INIAP researchers, it was determined that completing on average 15 surveys per day was a realistic goal. This is how the initial target of 225 (15*15) producer surveys was determined, providing a survey coverage of more than 20% of the watersheds’ population.

  4. For an overview of the type and scope of on-farm field trials conducted in both sub-watersheds, please see Barrowclough et al. (2016). Additional information on CA practices is available in Lal (2001) and Hobbs et al. (2008).

  5. ‘Jab-planting’ refers to the practice of using a pole (or stick) to manually ‘jab’ a hole into the untilled ground and placing seed directly into the formed hole.

  6. A labeled design occurs when alternatives are assigned to represent a specific good or service; e.g., alternatives assigned to signify a particular CA practice. An unlabeled (generic) design occurs when the alternative is given no identifiable marking except for the attributes used to describe said alternative.

  7. Cost is assumed to be fixed to ensure attribute WTP estimates fell within the anticipated prior boundaries.

  8. The DCE chart design, pictograms, attribute definitions, and script were validated prior to application during pilot interviews. Fortunately, agricultural researchers at INIAP have worked with producers in the study watersheds over an extended period. Preceding the pilot interviews, the authors collaborated with INIAP researchers who are familiar with the cultural and educational backgrounds of watershed producers. This ensured clarity of the research design with survey respondents. Following the pilot interviews, modifications were made to further ensure respondents understood the questions/tasks that were asked of them.

  9. Using observed characteristics of the respondent and the respective agricultural practice in question, along with unobserved characteristics (stochastic portion of utility (ε ij )), Eq. 2 specifies the probability that a respondent will choose an alternative over another. Equation 2 means the respondent’s choice will be whichever alternative provides the highest level of utility.

  10. For additional information on the econometric techniques used here and in Discrete Choice Experiments in general, please see Louviere et al. (2000), Train (2009), and Hensher et al. (2005).

  11. The log-normal distribution of −1*Cost and −1*Planting Labor was taken to ensure the proper theoretical sign.

  12. Assigning Cost, Four-Year Yield, Planting Labor, Low Erosion, and Medium Erosion a log-normal distribution implies heterogeneous preferences, whereas assigning One-Year Yield and Weeding Labor to be fixed implies homogeneous preferences. Homogenous, or fixed, preferences assume the marginal utility of those attributes is the same among respondents whereas heterogeneous, or diverse, preferences assume the marginal utility differs among respondents.

  13. The RPL model was estimated in Stata using the mixlogit command developed by Hole (2007).

  14. However, it is possible that labor markets are imperfect and are therefore driving higher than anticipated WTP values.

  15. The sign of the variable’s effect is in parentheses. A positive (negative) sign suggests that, on average, that variable is associated with greater(lower) utility from the application of CA.

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Correspondence to Michael J. Barrowclough.

Appendix

Appendix

See Table 6 and Fig. 3.

Table 6 Willingness-to-pay estimates (all respondents)
Fig. 3
figure 3

Discrete choice experiment attributes and level

Survey 1: Discrete choice experiment introduction script

N.B.: Writing below in italics and enclosed by parenthesis () is not read to respondents but rather a cue for the enumerator to follow during the DCE introduction process

This section involves a set of farming methods known as ‘Conservation Agriculture.’ The main objective of these methods is to increase soil fertility and decrease soil erosion. We have identified six farm production factors that may potentially change after adopting these types of practices and we would like to know your preferences toward them. The six production factors are: Change in yield 1 year after adoption, Change in yield 4 years after adoption, Change in number of days spent on labor for planting, Change in number of days spent on labor for weeding, Change in soil erosion, and Change in cost of production

In a moment I will ask you to choose between three different farming scenarios. Two of these scenarios will describe a hypothetical outcome were you to adopt a conservation agriculture practice. The third scenario will be if you were to continue with the farming practice(s) that you currently use. The three farming scenarios are described by the six farm production factors that I previously mentioned. These farm production factors can take different values, which I will describe now

(After this script is read aloud by the enumerator, respondents are shown a print of the six DCE attributes and their respective levels as shown in Fig. 3 . The enumerator describes the six attributes and their respective levels using the attribute description given in Table 3 . After this has been completed, the enumerator continues with the introductory script below.)

When making your choice between the three different farm scenarios please assume all production factors, other than the six just discussed, regarding your farm operation will be no different across the three farming scenarios

When you make your choice, please do so under the assumption that given the alternative you choose, the levels of the farm production factors shown would come true. It is very important to remember your farm income and budgetary constraints your family faces when making your choice. Before we begin, we will go through an example together

(The enumerator shows the respondent a choice scenario example as seen in Fig. 2 and reiterates the previous points from the DCE introduction. Once the respondent and enumerator complete the choice scenario example, the eight choice scenarios are presented.)

Survey 2: Risk assessment experiment

1. Suppose that your farm is the only income your family earns and the income you earn currently from your farm can be guaranteed for life. You are given the opportunity to implement at no additional costs the 4 CA practices previously mentioned: Cover Crop, Crop Rotation, Reduced Tillage, and Contour Cropping, with a 50–50 chance it will double your income after 4 years and a 50–50 chance that it will cut your income after 4 years BY 20%. After 4 years, the change will be permanent

Would you adopt the practices? YES/NO

 If your answer to #1 is NO, go to question #2

 If your answer to #1 is YES, go to question #5

2. Suppose the chances were that there was a 50–50 chance it will double your income made over 4 years and a 50–50 chance that it will cut your income made over 4 years BY 10%

Would you adopt the practices? YES/NO

 If your answer to #2 is NO, go to question # 3

 If your answer to #2 is YES, your risk tolerance is MODERATE

3. Suppose the chances were that there was a 50–50 chance it will double your income made over 4 years and a 50–50 chance that it will cut your income made over 4 years BY 8%

Would you adopt the practices? YES/NO

 If your answer to #3 is NO, go to question #4

 If your answer to #3 is YES, your risk tolerance is LOW

4. Suppose the chances were that there was a 50–50 chance it will double your income made over 4 years and a 50–50 chance that it will cut your income made over 4 years BY 5%

Would you adopt the practices? YES/NO

 If your answer to # 4 is NO, your risk tolerance is EXTREMELY LOW

 If your answer to #4 is YES, your risk tolerance is VERY LOW

5. Suppose the chances were that there was a 50–50 chance it will double your income made over 4 years and a 50–50 chance that it will cut your income made over 4 years 33%

Would you adopt the practices? YES/NO

 If your answer to #5 is NO, your risk tolerance is MODERATELY HIGH

 If your answer to #5 is YES, go to question 6

6. Suppose the chances were that there was a 50–50 chance it will double your income made over 4 years and a 50–50 chance that it will cut your income made over 4 years BY 50%

Would you adopt the practices? YES/NO

 If your answer to #6 is NO, your risk tolerance is VERY HIGH

 If your answer to #6 is YES, your risk tolerance is EXTREMELY HIGH

  1. Risk Tolerance descriptions taken from Hanna et al. (2001)

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Barrowclough, M.J., Alwang, J. Conservation agriculture in Ecuador’s highlands: a discrete choice experiment. Environ Dev Sustain 20, 2681–2705 (2018). https://doi.org/10.1007/s10668-017-0011-0

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