Forestry management efficiency analysis based on Forestry Household Economy Survey and Forestry Management Survey

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


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.

Figures & Tables

Fig. 1. Technical and scale efficiency of Data Envelopment Analysis (DEA).