Korean Journal of Agricultural Science (Korean J. Agric. Sci.; KJOAS)
Indexed in KCI (Korea Citation Index), Open Access, Peer Reviewed.
pISSN 2466-2402
eISSN 2466-2410
Menu
Soon BM, Cho S, Kwak SY, Kang DI. Forestry management efficiency analysis based on Forestry Household Economy Survey and forestry management survey. Korean Journal of Agricultural Science 50:155-166.
Korean Journal of Agricultural Science (Korean J. Agric. Sci.) 2023 March, Volume 50, Issue 1, pages 50:155-166. https://doi.org/10.7744/kjoas.20230010
Received on 17 November 2022, Revised on 18 November 2022, Accepted on 23 February 2023, Published on 30 March 2023.
Byung Min Soon1,*, Sumin Cho1, Soo Yeon Kwak2, Dae Ik Kang3
1Department of Agricultural Economics, Chungnam National University, Daejeon 34134, Korea
2Government and Public Research, Gallup Korea, Seoul 03167, Korea
3ICT Management and Statistics Division, Director for ICT Management and Statistics Division, Korea Forest Service, Daejeon 35208, Korea
*Corresponding author: soonbm@cnu.ac.kr
This study aimed to analyze management efficiency to increase forestry income and competitiveness. We used the Forestry Household Economy Survey to generate a ratio of input and output. Eight sectors were considered: silviculture/logging, gathering (e.g., pine mushroom), chestnut tree cultivation, astringent persimmon tree cultivation, nut tree cultivation, mushroom cultivation, material for landscape, and other cultivations. Data Envelopment Analysis (DEA) was used to calculate management efficiency for these eight sectors in the forestry market. Moreover, a bootstrap DEA was also used to overcome the sample size and achieve relative efficiency that the normal DEA does not show. We found that silviculture/logging, mushroom cultivation, and material for landscape are relatively efficient sectors among the eight sectors. Bootstrap DEA results show that silviculture/logging is relatively efficient compared to mushroom cultivation and material for landscape. We also used the Forestry Management Survey to compare the results with those of the Forestry Household Economy Survey. The results were not the same except for landscape. The reasons are that input or output data are different in the two surveys and the sample size is not the same in the two surveys. Nevertheless, our study can provide necessary evidence for forestry income improvement and management efficiency.
Bootstrap Data Envelopment Analysis (DEA), Data Envelopment Analysis, Forestry Household Economy Survey, Forestry Management Survey
Choi DW, Lim CR. 2017. An analysis of management performance and efficiency of medician crop farm-mainly on Angelica dahurica and Bupleurum falcatum. Journal of Korea Academia-Industrial Cooperation Society 18:400-406. [in Korean]
Farrell MJ. 1957. The measurement of productive efficiency. Journal of the Royal Statistical Society: Series A (General) 120:253-281.
Hong EY, Park JS, Lee JB. 2006. An analysis on the technical efficiency of red pepper farming in Korea. Korean Journal of Agricultural Management and Policy 16:8719-8727. [in Korean]
Hong SJ, Huh YK, Chung SO, Hong SH. 2012. Efficiency analysis of agricultural machinery rental system using the DEA model. Korean Journal of Agricultural Science 39:279-289. [in Korean]
Jang CS, Min KT, Koo JC, Jeong JH, Choi JY, Kim ME, Lee YH. 2014. A study on the role of Kofpi in increasing forestry household income and growing forest-related industry. Korea Rural Economic Institute, Naju, Korea. [in Korean]
Jeong SH, Seo ST. 2021. Analysis of technical efficiency of pear farms-focusing on homogeneity classification. Korean Journal of Agricultural Management and Policy 48:181-199. [in Korean]
Kang CY, Park HT. 2006. An analysis of efficiency of environmentally-friendly rice production. Journal of Rural Development 28:19-40. [in Korean]
Kim CG, Lee SK, Kim TY. 2009. Efficiency analysis of organic farm management. Korea Journal of Organic Agriculture 17:19-33. [in Korean]
Kim JH, Choi KD, Kim SK. 2008. A Data Envelopment Analysis model evaluation of efficiency of deep-sea fishing industry. The Journal of Fisheries Business Administration 39:49-65. [in Korean]
Kim YH, Lee JB, Chun DW, Park SY. 2011. Using fuzzy-DEA to measure the efficiency of Korean cattle farms. Korean Journal of Agricultural Management and Policy 38:888-916. [in Korean]
Kim YS. 1999. Measuring the technical and scale efficiencies of Korean rice farm. The Korean Journal of Agricultural Economics 40:1-14.
Kwon OS. 2019. Production economics. Pakyoungsa, Seoul, Korea. [in Korean]
Lee SG, Jeon SG. 2016. An analysis on the change of the management efficiency distribution of citrus farms. Journal of Agriculture & Life Science 50:207-221. [in Korean]
Lee SS, Kim CS, Lee SH. 2001. An analysis on the efficiency of apple production in environmental agriculture using DEA. The Korean Journal of Agricultural Economics 42:51-65. [in Korean]
Lee, SY, Jeon JH, Won HK, Lee JM. 2014. Management efficiency of the full-time and part-time oak mushroom farms using DEA models. Journal of Korean Society of Forest Science 103:639-645. [in Korean]
Lim SJ, Jeon SG, Hwang CH, Jang MK. 2015. An analysis on the changes of productivity efficiency distribution of greenhouse grape farms. Journal of Rural Development 38:93-114. [in Korean]
Lin QL, Rhee ZW, Hong NK, Kim TK. 2014. An analysis of production efficiency of controlled tomato production. Korean Journal of Agricultural Management and Policy 41:380-399. [in Korean]
Oh HS, Rhee HC, Kim TY. 2004. Efficiencies of the internet marketings for environmentally friendly agricultural products. The Korean Journal of Agricultural Economics 45:139-161. [in Korean]
Shephard RW. 1970. Cost and production functions. Reprint of the 1953 edition. published by Princeton University Press, Princeton, USA.
Statistics Korea. 2021. Forestry Household Economy Survey. Statistics Korea, Daejeon, Korea.
Won HK, Jeon JH, Yoo BI, Lee SY, Lee JM, Ji DH. 2013. Management efficiency of chestnut-cultivating households in Chungnam province, Journal of Korean Society of Forest Science 102:390-397. [in Korean]
Yeo MS, Hong SJ. 2010. An analysis on technical efficiency of apiculture farming in Korea. Korean Journal of Agricultural Science 37:509-514. [in Korean]
Byung Min Soon, https://orcid.org/0000-0003-0571-9770
Sumin Cho, https://orcid.org/0000-0001-5613-6319
Soo Yeon Kwak, Gallup Korea, Researcher
Dae Ik Kang, Korea Forest Service, Director
이 논문은 2022년도 정부(과학기술정보통신부)의 재원으로 한국연구재단의 지원을 받아 연구되었음(NRF-2022M3J6A1084843).
No potential conflict of interest relevant to this article was reported.