IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v9y2017i12p2241-d121575.html
   My bibliography  Save this article

Incorporating Workplace Injury to Measure the Safety Performance of Industrial Sectors in Taiwan

Author

Listed:
  • Li-Ting Yeh

    (Department of Cooperative Economics and Social Entrepreneurship, Feng Chia University, No. 100 Wenhwa Rd., Seatwen, Taichung 40724, Taiwan)

Abstract

The severity of workplace injuries varies by industry. Information on workplace injuries can enable firms and governments to effectively improve their safety performance based on the specific contexts of each industry. Incorporating the three workplace injury rates (being wounded or ill, disability, and death), a data envelopment analysis (DEA) model is developed to evaluate the safety performance of 17 industrial sectors in Taiwan. The results suggest that the Taiwanese government should pay particular attention to the mining and quarrying industry, which has the lowest safety performance. Additionally, the results provide abundant information for the Taiwanese government to design industry safety regulations in a way that may prompt firms to develop a sustainable economy by improving their health and safety practices and enhancing their overall safety performance.

Suggested Citation

  • Li-Ting Yeh, 2017. "Incorporating Workplace Injury to Measure the Safety Performance of Industrial Sectors in Taiwan," Sustainability, MDPI, vol. 9(12), pages 1-14, December.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:12:p:2241-:d:121575
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/9/12/2241/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/9/12/2241/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Nishimura, Junichi & Okamuro, Hiroyuki, 2011. "Subsidy and networking: The effects of direct and indirect support programs of the cluster policy," Research Policy, Elsevier, vol. 40(5), pages 714-727, June.
    2. Rolf Färe & Shawna Grosskopf & Carl A Pasurka, Jr., 2001. "Accounting for Air Pollution Emissions in Measures of State Manufacturing Productivity Growth," Journal of Regional Science, Wiley Blackwell, vol. 41(3), pages 381-409, August.
    3. Burke, M.J. & Sarpy, S.A. & Smith-Crowe, K. & Chan-Serafin, S. & Salvador, R.O. & Islam, G., 2006. "Relative effectiveness of worker safety and health training methods," American Journal of Public Health, American Public Health Association, vol. 96(2), pages 315-324.
    4. Jean-Philippe Boussemart & Walter Briec & Christophe Tavera, 2011. "More evidence on technological catching-up in the manufacturing sector," Applied Economics, Taylor & Francis Journals, vol. 43(18), pages 2321-2330.
    5. Pasurka, Carl Jr., 2006. "Decomposing electric power plant emissions within a joint production framework," Energy Economics, Elsevier, vol. 28(1), pages 26-43, January.
    6. Rosenkranz, Lydia & Seintsch, Björn & Dieter, Matthias, 2015. "Decomposition analysis of changes in value added. A case study of the sawmilling and wood processing industry in Germany," Forest Policy and Economics, Elsevier, vol. 54(C), pages 36-50.
    7. Zaim, Osman, 2004. "Measuring environmental performance of state manufacturing through changes in pollution intensities: a DEA framework," Ecological Economics, Elsevier, vol. 48(1), pages 37-47, January.
    8. W. Kip Viscusi, 2004. "The Value of Life: Estimates with Risks by Occupation and Industry," Economic Inquiry, Western Economic Association International, vol. 42(1), pages 29-48, January.
    9. Chang, Dong-Shang & Yang, Fu-Chiang, 2011. "Assessing the power generation, pollution control, and overall efficiencies of municipal solid waste incinerators in Taiwan," Energy Policy, Elsevier, vol. 39(2), pages 651-663, February.
    10. Muhammad Dawood Idrees & Maria Hafeez & Jung-Yong Kim, 2017. "Workers’ Age and the Impact of Psychological Factors on the Perception of Safety at Construction Sites," Sustainability, MDPI, vol. 9(5), pages 1-15, May.
    11. Chang, Dong-Shang & Liu, Wenrong & Yeh, Li-Ting, 2013. "Incorporating the learning effect into data envelopment analysis to measure MSW recycling performance," European Journal of Operational Research, Elsevier, vol. 229(2), pages 496-504.
    12. Yu, Ming-Miin, 2010. "Assessment of airport performance using the SBM-NDEA model," Omega, Elsevier, vol. 38(6), pages 440-452, December.
    13. Youngho Chang, 2015. "Energy And Environmental Policy," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 60(03), pages 1-19.
    14. Shu-Chiang Lin & Ilma Mufidah & Satria Fadil Persada, 2017. "Safety-Culture Exploration in Taiwan’s Metal Industries: Identifying the Workers’ Background Influence on Safety Climate," Sustainability, MDPI, vol. 9(11), pages 1-16, October.
    15. Avkiran, Necmi K. & Rowlands, Terry, 2008. "How to better identify the true managerial performance: State of the art using DEA," Omega, Elsevier, vol. 36(2), pages 317-324, April.
    16. Alexander Schiersch, 2013. "Firm size and efficiency in the German mechanical engineering industry," Small Business Economics, Springer, vol. 40(2), pages 335-350, February.
    17. Dios-Palomares, Rafaela & Martínez-Paz, José M., 2011. "Technical, quality and environmental efficiency of the olive oil industry," Food Policy, Elsevier, vol. 36(4), pages 526-534, August.
    18. Sözen, Adnan & Alp, İhsan & Kilinc, Cuma, 2012. "Efficiency assessment of the hydro-power plants in Turkey by using Data Envelopment Analysis," Renewable Energy, Elsevier, vol. 46(C), pages 192-202.
    19. Delimiro Visbal-Cadavid & Mónica Martínez-Gómez & Francisco Guijarro, 2017. "Assessing the Efficiency of Public Universities through DEA. A Case Study," Sustainability, MDPI, vol. 9(8), pages 1-19, August.
    20. Zhou, P. & Ang, B.W. & Poh, K.L., 2008. "A survey of data envelopment analysis in energy and environmental studies," European Journal of Operational Research, Elsevier, vol. 189(1), pages 1-18, August.
    21. Haugland, Sven A. & Myrtveit, Ingunn & Nygaard, Arne, 2007. "Market orientation and performance in the service industry: A data envelopment analysis," Journal of Business Research, Elsevier, vol. 60(11), pages 1191-1197, November.
    22. William W. Cooper & Lawrence M. Seiford & Kaoru Tone, 2007. "Data Envelopment Analysis," Springer Books, Springer, edition 0, number 978-0-387-45283-8, December.
    23. Davies, Rhys & Jones, Paul & Nuñez, Imanol, 2009. "The impact of the business cycle on occupational injuries in the UK," Social Science & Medicine, Elsevier, vol. 69(2), pages 178-182, July.
    24. Chia-Hung Sun, 2006. "Imperfect Competition, Economic Miracle, and Manufacturing Productivity Growth: Empirical Evidence from Taiwan," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 34(3), pages 341-359, September.
    25. Scheel, Holger, 2001. "Undesirable outputs in efficiency valuations," European Journal of Operational Research, Elsevier, vol. 132(2), pages 400-410, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Seongwook Ha, 2018. "Surface Acting and Job-Related Affective Wellbeing: Preventing Resource Loss Spiral and Resource Loss Cycle for Sustainable Workplaces," Sustainability, MDPI, vol. 10(4), pages 1-12, April.
    2. Ismail, Siti Noraishah & Ramli, Azizan & Aziz, Hanida Abdul, 2021. "Influencing factors on safety culture in mining industry: A systematic literature review approach," Resources Policy, Elsevier, vol. 74(C).
    3. Li-Ting Yeh, 2020. "Using Weighted Data Envelopment Analysis to Measure Occupational Safety and Healthy Economic Performance of Taiwan’s Industrial Sectors," Mathematics, MDPI, vol. 8(9), pages 1-13, September.
    4. Marta Gómez-Galán & José Pérez-Alonso & Ángel-Jesús Callejón-Ferre & Julián Sánchez-Hermosilla-López, 2018. "Assessment of Postural Load during Melon Cultivation in Mediterranean Greenhouses," Sustainability, MDPI, vol. 10(8), pages 1-33, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    2. Gómez-Calvet, Roberto & Conesa, David & Gómez-Calvet, Ana Rosa & Tortosa-Ausina, Emili, 2014. "Energy efficiency in the European Union: What can be learned from the joint application of directional distance functions and slacks-based measures?," Applied Energy, Elsevier, vol. 132(C), pages 137-154.
    3. Jia-Ching Juo, 2014. "Decomposing the change in profit of Taiwanese banks: incorporating risk," Journal of Productivity Analysis, Springer, vol. 41(2), pages 247-262, April.
    4. Zhou, P. & Ang, B.W. & Poh, K.L., 2008. "A survey of data envelopment analysis in energy and environmental studies," European Journal of Operational Research, Elsevier, vol. 189(1), pages 1-18, August.
    5. Leleu, Hervé, 2013. "Shadow pricing of undesirable outputs in nonparametric analysis," European Journal of Operational Research, Elsevier, vol. 231(2), pages 474-480.
    6. Dakpo, Hervé K & Jeanneaux, Philippe & Latruffe, Laure, 2014. "Inclusion of undesirable outputs in production technology modeling: The case of greenhouse gas emissions in French meat sheep farming," Working Papers 207806, Institut National de la recherche Agronomique (INRA), Departement Sciences Sociales, Agriculture et Alimentation, Espace et Environnement (SAE2).
    7. Ching-Cheng Lu & Liang-Chun Lu, 2019. "Evaluating the energy efficiency of European Union countries: The dynamic data envelopment analysis," Energy & Environment, , vol. 30(1), pages 27-43, February.
    8. Dan Wu & Ching-Cheng Lu & Xiang Chen & Pei-Chieh Tu & An-Chi Yang & Chih-Yu Yang, 2021. "Evaluating the Dynamic Energy Production Efficiency in APEC Economies," Energies, MDPI, vol. 14(14), pages 1-20, July.
    9. Chang, Dong-Shang & Liu, Wenrong & Yeh, Li-Ting, 2013. "Incorporating the learning effect into data envelopment analysis to measure MSW recycling performance," European Journal of Operational Research, Elsevier, vol. 229(2), pages 496-504.
    10. Sueyoshi, Toshiyuki & Goto, Mika, 2012. "DEA environmental assessment of coal fired power plants: Methodological comparison between radial and non-radial models," Energy Economics, Elsevier, vol. 34(6), pages 1854-1863.
    11. Laurens Cherchye & Bram De Rock & Antonio Estache & Barnabé Walheer, 2013. "Reducing Energy Use without Affecting the Economic Objectives: a Sectoral Analysis," Working Papers ECARES ECARES 2013-11, ULB -- Universite Libre de Bruxelles.
    12. Vaninsky, Alexander, 2010. "Prospective national and regional environmental performance: Boundary estimations using a combined data envelopment – stochastic frontier analysis approach," Energy, Elsevier, vol. 35(9), pages 3657-3665.
    13. Toloo, Mehdi & Hančlová, Jana, 2020. "Multi-valued measures in DEA in the presence of undesirable outputs," Omega, Elsevier, vol. 94(C).
    14. Cherchye, Laurens & Rock, Bram De & Walheer, Barnabé, 2015. "Multi-output efficiency with good and bad outputs," European Journal of Operational Research, Elsevier, vol. 240(3), pages 872-881.
    15. Sueyoshi, Toshiyuki & Goto, Mika, 2011. "Methodological comparison between two unified (operational and environmental) efficiency measurements for environmental assessment," European Journal of Operational Research, Elsevier, vol. 210(3), pages 684-693, May.
    16. Ji, Xiang & Li, Guo & Wang, Zhaohua, 2017. "Impact of emission regulation policies on Chinese power firms’ reusable environmental investments and sustainable operations," Energy Policy, Elsevier, vol. 108(C), pages 163-177.
    17. Sueyoshi, Toshiyuki & Goto, Mika, 2014. "Environmental assessment for corporate sustainability by resource utilization and technology innovation: DEA radial measurement on Japanese industrial sectors," Energy Economics, Elsevier, vol. 46(C), pages 295-307.
    18. Chen, Chih Cheng, 2017. "Measuring departmental and overall regional performance: applying the multi-activity DEA model to Taiwan׳s cities/counties," Omega, Elsevier, vol. 67(C), pages 60-80.
    19. Sueyoshi, Toshiyuki & Goto, Mika, 2012. "Weak and strong disposability vs. natural and managerial disposability in DEA environmental assessment: Comparison between Japanese electric power industry and manufacturing industries," Energy Economics, Elsevier, vol. 34(3), pages 686-699.
    20. Welch, Eric & Barnum, Darold, 2009. "Joint environmental and cost efficiency analysis of electricity generation," Ecological Economics, Elsevier, vol. 68(8-9), pages 2336-2343, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:9:y:2017:i:12:p:2241-:d:121575. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.