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

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  • Kim, Yongjoon

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.

Suggested Citation

  • Kim, Yongjoon, 2017. "Estimating the Damage Function of Disease and Insect Pest of Ginseng Considering Spatial Autocorrelation," Journal of Rural Development/Nongchon-Gyeongje, Korea Rural Economic Institute, vol. 40(4), December.
    • Handle: RePEc:ags:jordng:330736
    DOI: 10.22004/ag.econ.330736
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    Cited by:

    1. Donggeun Han & Donghee Yoo & Taeyoung Kim, 2023. "Analysis of social welfare impact of crop pest and disease damages due to climate change: a case study of dried red peppers," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-13, December.

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    Keywords

    Crop Production/Industries;

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