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. 2021 Feb 27;18(5):2334.
doi: 10.3390/ijerph18052334.

The Perception of Occupational Safety and Health (OSH) Regulation and Innovation Efficiency in the Construction Industry: Evidence from South Korea

Jaeho Shin  1 , Yeongjun Kim  2 , Changhee Kim  2
Affiliations

The Perception of Occupational Safety and Health (OSH) Regulation and Innovation Efficiency in the Construction Industry: Evidence from South Korea

Jaeho Shin et al. Int J Environ Res Public Health. .

Abstract

Due to safety issues in the construction industry, interest in research on occupational safety and health (OSH) regulations remains high. Previous studies indicated that OSH regulations not only affect performance in and of themselves, but also indirectly by increasing awareness of such regulations. Studies also demonstrated that OSH regulation can affect innovation and corporate safety. However, the effect of OSH regulation on innovation remains unclear, as the relationship between the perception of OSH regulation and innovation is not fully understood. This study measures the innovation efficiency of companies in the Korean construction industry using data envelopment analysis (DEA), and investigates the relationship between innovation efficiency and companies' perceptions of OSH regulations. Results indicate that companies that positively recognize OSH regulations tend to be more innovative than those that do not. This study also validates differences in innovation efficiency depending on the perception of OSH regulations by bootstrap DEA. The results of this study suggest appropriate strategies to promote innovation in the construction industry from the perspectives of both government and practitioners in firms.

Keywords: OSH; construction industry; innovation efficiency; occupational safety and health regulation; perception of regulations.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Casualties in the construction industry in South Korea [4].
Figure 2
Figure 2
Research flowchart.
Figure 3
Figure 3
Frontiers of BCC and CCR models.
Figure 4
Figure 4
Bootstrap procedure based on [58,59,60].
Figure 5
Figure 5
Input and output for efficiency measurement.
Figure 6
Figure 6
Box and whisker plot of VRS efficiency by groups.
Figure 7
Figure 7
Box and whisker plot of bootstrap efficiency by groups.
See this image and copyright information in PMC

References

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