An Analysis of Structural Changes for Korean Livestock Industry Using Input-Output Analysis

Inbae Ji

Journal of Rural Development/Nongchon-Gyeongje, 2013, vol. 36, issue 01

Abstract: In order to identify the economic impacts of the livestock sector on the national economy in general and the structural changes in the livestock industry and its related industries, an input-output analysis was conducted using the Ritz-Spaulding model with the past 20 years’ input-output tables. Cattle, hog, poultry, meat and processed meat products, dairy products, animal feed, and agricultural machinery have showed high growth rates over the past 20 years. However those are low in comparison to the total industrial growth rate of the nation. Also, it is shown that the added-value ratios are lower than those of other industries. However, it appears that the livestock industry and its related industries have more effect on inducing production and employment in comparison to other industries, making a significant contribution to the national economy. They also have high linkage effect, implying that their development has positive effect on the growth of the entire economy. Therefore, the substantiality of livestock industry and its related industries should be ensured, so that they can drive the qualitative growth of the livestock industry.

Keywords: Livestock; Production/Industries (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:

Downloads: (external link)
https://ageconsearch.umn.edu/record/330576/files/RE36-1-02.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ags:jordng:330576

DOI: 10.22004/ag.econ.330576

Access Statistics for this article

More articles in Journal of Rural Development/Nongchon-Gyeongje from Korea Rural Economic Institute Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().