Abstract

AbstractThis study investigates which factors may influence producers’ use of irrigation technologies and/or water management practices (WMPs). One major finding is that Arkansas producers are more likely to rely on WMPs instead of sprinkler irrigation as a response to changes in depth to water and drought occurrences. This finding highlights the importance of expanding the existing literature that focuses mostly on more efficient irrigation technologies, especially in areas where WMPs are more prevalent. Climate factors also play a role. Sprinkler systems are more prevalent in regions with lower average temperature. WMPs are used to mitigate the impact of more frequent droughts.

Highlights

  • The availability of water has become a limiting factor for agricultural production in many parts of the world (United Nations World Water Assessment Programme, 160 QIUQIONGHUANGETAL .2015)

  • Results from specification 1 show that higher temperature tends to reduce the likelihood of soybean producers using sprinkler irrigation (Tables 5 and 6)

  • Higher temperature reduces the attractiveness of sprinkler irrigation relative to gravity irrigation

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Summary

Introduction

Among the existing studies that have examined the influence of climatic factors on irrigation technology choices, the focus has been on average climate conditions such as average temperature and total precipitation (Finkel and Nir, 1983; Frisvold and Deva, 2013; Negri and Brooks, 1990; Olen, Wu, and Langpap, 2016; Schoengold and Sunding, 2014) These measures, do not capture variations in climate factors. This article examines whether historical variations in climatic factors have any predictive powers of producers’ choices of irrigation technologies and/or WMPs. In addition to average climate conditions, such as mean daily temperature and total precipitation, a moment-based approach is used to measure expected climate risks such as volatility and the likelihood of extreme events.

Study Site and Data Description
Empirical Specification
Constructing Climate Risk Variables
Empirical Results
Results on Climate Variables
Conclusion

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