Estimating the Damage Function of Disease and Insect Pest of Ginseng Considering Spatial Autocorrelation

Yongjoon Kim

Journal of Rural Development/Nongchon-Gyeongje, 2017, vol. 40, issue 4

Abstract: The increasing trend in disease and insect pest (DIP) outbreaks is expected to continue due to climate change and become one of the major risks for the agricultural sector. Many researchers tried to construct a flexible control system of the DIP outbreaks that have intensified with climate change. This study estimated a DIP damage function for ginseng that is incorporating spatial autocorrelation and weather variables. We find that major DIP of ginseng such as anthracnose and gray mold has statistically significant spatial autocorrelation effects within the effective distance. Our estimation result also shows that there exists a significant relationship between DIP outbreaks and weather variables except for Pseudococcus Comstock. And anthracnose outbreaks show a strong spatial autocorrelation especially when the effective distance is considered.

Keywords: Crop; Production/Industries (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:ags:jordng:330736

DOI: 10.22004/ag.econ.330736

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