References
- Ajija, S. R., Soepriyanto, G. and Setiawan, D. (2021). Measuring Energy Efficiency in Indonesian Manufacturing Industries: A Stochastic Frontier Analysis Approach, International Journal of Energy Economic, and Policy, 11(5), 1–10.
- Alola, A. A., Onifade, S. T. and Alola, U. V. (2022). The Influence of Renewable Energy and Economic Freedom Aspects on Ecological Sustainability in the G7 Countries, Sustainable Development, 30(1), 61–74. https://doi.org/10.1002/sd.2414
- Balakrishnan, R., Linsmeier, T. J. and Venkatachalam, M. (1996). Financial Benefits from JIT Adoption: Effects of Customer Concentration and Cost Structure, The Accounting Review, 71(2), 183–205.
- Beck, N. and Katz, J. N. (1995). What to do (and not to do) with Time-series Cross-section Data, American Political Science Review, 89(3), 634–647. https://doi.org/10.2307/2082979
- Belsley, D. A., Kuh, E. and Welsch, R. E. (2005). Regression Diagnostics: Identifying Influential Data and Sources of Collinearity, Hoboken, John Wiley and Sons.
- Boyd, G. A. (2008). Estimating Plant Level Manufacturing Energy Efficiency with Stochastic Frontier Regression, The Energy Journal, 29(2), 23–44. https://doi.org/10.5547/ISSN0195-6574-EJ-Vol29-No2-2
- Cachon, G. and Tewiesch, C. (2016). Operations Management, New York, McGraw-Hill US hihger Ed USE Legacy.
- Cannon, A. R. (2008). Inventory Improvement and Financial Performance, International Journal of Production Economics, 115(2), 581-593. https://doi.org/10.1016/j.ijpe.2008.07.006
- Capkun, V., Hameri, A. P. and Weiss, L. A. (2009). On the Relationship between Inventory and Financial Performance in Manufacturing Companies, International Journal of Operations and Production Management, 29(8), 789–806. https://doi.org/10.1108/01443570910977698
- Cengiz, M. F., Yilmaz, B. and Uyar, B. (2018). Assessing Energy Efficiency in OECD Countries: A Bayesian Stochastic Frontier Analysis, Environmental Science and Pollution Research, 25, 28592–28602.
- Chen, H., Frank, M. Z. and Wu, O. Q. (2005). What Actually Happened to the Inventories of American Companies between 1981 and 2000?, Management Science, 51(7), 1015–1031. https://doi.org/10.1287/mnsc.1050.0368
- Chen, H., Frank, M. Z. and Wu, O. Q. (2007). US Retail and Wholesale Inventory Performance from 1991 to 2005, Manufacturing and Service Operations Management, 9(4), 430–456. https://doi.org/10.1287/msom.1060.0129
- Chuang, H. H. C., Oliva, R. and Heim, G. R. (2019). Examining the Link between Retailer Inventory Leanness and Operational Efficiency: Moderating Roles of Firm Size and Demand Uncertainty, Production and Operations Management, 28(9), 2338-2364. https://doi.org/10.1111/poms.13055
- Chuang, Y.-C., Olhager, J. and Lin, H.-C. (2019). Exploring the Impact of Inventory Leanness on Efficiency: An Empirical Study on Retail Firms, International Journal of Production Economics, 211, 204–216.
- Collier, D. A. and Evans, J. R. (2021). Operations and Supply Chain Management, Boston, Cengage Learning, Inc.
- Demichela, M., Baldissone, G. and Darabnia, B. (2018). Using Field Data for Energy Efficiency Based on Maintenance and Operational Optimisation. A Step towards PHM in Process Plants, Processes, 6(3), 25.
- Elsayed, K. and Wahba, H. (2013). Reinvestigating the Relationship between Ownership Structure and Inventory Management: A Corporate Governance Perspective, International Journal of Production Economics, 143(1), 207-218. https://doi.org/10.1016/j.ijpe.2013.01.011
- Eroglu, C. and Hofer, C. (2011). Lean, Leaner, Too Lean? The Inventory-performance Link Revisited, Journal of Operations Management, 29(4), 356-369. https://doi.org/10.1016/j.jom.2010.05.002
- Filippini, M. and Hunt, L. C. (2011). Energy Demand and Energy Efficiency in the OECD Countries: A Stochastic Demand Frontier Approach, The Energy Journal, 32(2), 59–80. https://doi.org/10.5547/ISSN0195-6574-EJ-Vol32-No2-3
- Filippini, M. and Hunt, L. C. (2012). US Residential Energy Demand and Energy Efficiency: A Stochastic Demand Frontier Approach, Energy Economics, 34(5), 1484–1491. https://doi.org/10.1016/j.eneco.2012.06.013
- Florida, R. (1996). Lean and Green: The Move to Environmentally Conscious Manufacturing, California Management Review, 39(1), 80-105. https://doi.org/10.2307/41165877
- Gaur, V., Fisher, M. L. and Raman, A. (2005). An Econometric Analysis of Inventory Turnover Performance in Retail Services, Management Science, 51(2), 181-194. https://doi.org/10.1287/mnsc.1040.0298
- Gorus, M. S. and Karagol, E. T. (2022). Reactions of Energy Intensity, Energy Efficiency, and Activity Indexes to Income and Energy Price Changes: The Panel Data Evidence from OECD Countries, Energy, 254. https://doi.org/10.1016/j.energy.2022.124281
- Greene, W. H. (2012). Econometric Analysis (7th ed.), Boston, Pearson Education.
- Haans, R. F., Pieters, C. and He, Z. L. (2016). Thinking about U: Theorizing and Testing U‐and Inverted U‐Shaped Relationships in Strategy Research, Strategic Management Journal, 37(7), 1177-1195. https://doi.org/10.1002/smj.2399
- Haider, S. and Bhat, J. A. (2018). Assessing Energy Efficiency of Indian Paper Industry and Influencing Factors: A Non-parametric Approach, International Journal of Energy Sector Management, 12(4), 622–641.
- Haider, S. and Mishra, P. P. (2021). Does Innovative Capability Enhance the Energy Efficiency of Indian Iron and Steel firms? A Bayesian Stochastic Frontier Analysis, Energy Economics, 95, 105136. https://doi.org/10.1016/j.eneco.2021.105128
- International Energy Agency(IEA). (2020). Iron and Steel Technology Roadmap, https://www.iea.org/reports/iron-and-steel-technology-roadmap#overview
- Isaksson, O. H. D. and Seifert, R. W. (2014). Inventory Leanness and the Financial Performance of Firms, Production Planning and Control, 25(12), 999–1014. https://doi.org/10.1080/09537287.2013.797123
- Kang, S. (2012). Measurement of Energy Efficiency for the Reduction of Greenhouse Gases, Journal of Environmental Policy, 11(1), 75. https://doi.org/10.17330/JOEP.11.1.201203.75
- Kang, Y. and Kim H. (2012). Comparison of Energy Efficiency by Production Frontier Approach: Based on OECD Countries, Environmental and Resource Economics Review, 20(1), 33–60.
- Karplus, V. J. and Zhang, D. (2017). Management and Energy Efficiency in a Chinese Manufacturing Cluster, Unpublished Manuscript submitted to the 9th Annual Alliance for Research in Corporate Sustainability, https://corporate-sustainability.org/wp-content/uploads/Karplus_Management_and_Energy_Efficiency.pdf
- Kim, G and Lee, J.-W. (2017). Analyzing the Impact of Inventory Management Performance on the Energy Efficiency in Korean Petrochemical Companies, Korean Management Science Review, 34(3), 1-14. https://doi.org/10.7737/KMSR.2017.34.3.001
- Kim, G. (2019). Investigating the Relationships Among Inventory Turnover Performance, IT, and Firm and Industry Characteristics, Journal of Korea Society of Industrial Information Systems, 24(3), 1-21.
- Kim, G. (2020). Examining the Impact of Inventory Management Performance on the Greenhouse-gas Emission Efficiency in Korean Steel Companies, Logos Management Review, 18(1), 113-134. https://doi.org/10.22724/LMR.2020.18.1.7
- Kim, G. (2022a). Examining the Link between Inventory Leanness and Energy Efficiency in Korean Steel Companies, Korean Review of Corporation Management, 13(3), 75-89. https://doi.org/10.20434/KRICM.2022.08.13.3.75
- Kim, G. (2022b). Investigating the Nonlinear Relationships between Adjusted Inventory Turnover and Operational Efficiency, Journal of the Korean Production and Operations Management Society, 33(1), 155-177. https://doi.org/10.32956/kopoms.2022.33.1.155
- Kim, G. (2023). Assessing the Energy Efficiency of the Korean Steel Firms with Stochastic Frontier Analysis: Marginal Effect of Inventory Leanness, Innovation Enterprise Research, 8(1), 141-157. https://doi.org/10.37297/IER.2023.3.8.1.141
- Kim, G. (2024a). Investigating the Impact of Inventory Resource Efficiency on Energy Efficiency: a Bayesian Stochastic Frontier Approach, Korean Review of Corporation Management, 15(2), 1-23. https://doi.org/10.20434/KRICM.2024.5.15.2.1
- Kim, G. (2024b). Estimating the Energy Efficiency of Korean Steel Companies Using Bayesian Stochastic Frontier Analysis, Journal of Global Business Administration, 21(2), 1-19. https://doi.org/10.38115/asgba.2024.21.2.1
- Kolias, G. D., Dimelis, S. P. and Filios, V. P. (2011). An Empirical Analysis of Inventory Turnover Behaviour in Greek Retail Sector: 2000–2005, International Journal of Production Economics, 133(1), 143-153. https://doi.org/10.1016/j.ijpe.2010.04.026
- Korea Energy Agency. (2024). Energy Statistics Data (in Korean), https://www.energy.or.kr
- Kumbhakar, S. C., Wang, H. J. and Horncastle, A. P. (2015). A Practitioner's Guide to Stochastic Frontier Analysis Using Stata, Cambridge University Press.
- Lee, S. Y. and Klassen, R. D. (2008). Drivers and Enablers that Foster Environmental Management Capabilities in Small‐and Medium‐Sized Suppliers in Supply Chains, Production and Operations Management, 17(6), 573–586. https://doi.org/10.3401/poms.1080.0063
- Lind, J. T. and Mehlum, H. (2010). With or Without U? The Appropriate Test for a U-shaped Relationship, Oxford Bulletin of Economics and Statistics, 72(1), 109-118. https://doi.org/10.1111/j.1468-0084.2009.00569.x
- Melville, N., Gurbaxani, V. and Kraemer, K. (2007). The Productivity Impact of Information Technology across Competitive Regimes: The Role of Industry Concentration and Dynamism, Decision Support Systems, 43(1), 229-242. https://doi.org/10.1016/j.dss.2006.09.009
- Ministry of Trade, Industry and Energy. (2025). 2023 National Energy Census report (in Korean), https://www.kesis.net/sub/sub_0001_04.jsp
- Modi, S. B. and Mishra, S. (2011). What Drives Financial Performance–Resource Efficiency or Resource Slack?: Evidence from US based Manufacturing Firms from 1991 to 2006, Journal of Operations Management, 29(3), 254-273. https://doi.org/10.1016/j.jom.2011.01.002
- Nguyen, A. T., Reiter, S. and Rigo, P. (2023). Impacts of Climate Change and Building Energy Efficiency Measures on the Energy Performance of Office Buildings, Journal of Building Engineering, 57, 104837.
- Oh, S.-C. and Hildreth, A. J. (2014). Estimating the Technical Improvement of Energy Efficiency in the Automotive industry—Stochastic and Deterministic Frontier Benchmarking Approaches, Energies, 7(9), 6196–6222. https://doi.org/10.3390/en7096196
- Park, J. S., Lee, H. G., Kim, J. H., Yoon, E. H. and Baek, J. W. (2018). Analysis of an M/M/1 Queue with an Attached Continuous-type (s,S)-inventory, Journal of Korea Society of Industrial Information Systems, 29(3), 67-77.
- Park, N. G., Lee, S. J., Go, B. S., Dinh, M. C., Lee, J. Y. and Park, M. (2024). Proposal of a Factory Energy Management Method Using Electric Vehicle Batteries, Journal of Korea Society of Industrial Information Systems, 29(3), 67-77. https://doi.org/10.9723/JKSIIS.2024.29.3.067
- Rumyantsev, S. and Netessine, S. (2007). What Can Be Learned From Classical Inventory Models? A Cross-industry Exploratory Investigation, Manufacturing and Service Operations Management, 9(4), 409–429. https://doi.org/10.1287/msom.1070.0166
- Shao, S. and Yang, L. (2019). Effects of Technological Innovation on Energy Efficiency in China: Evidence from a Spatial Dynamic Panel Analysis, Science of The Total Environment, 686, 428–439.
- Stevenson, W. J. (2019). Operations Management, New York, McGraw-Hill Education.
- Sun, L. and Huang, C. (2020). Is Energy Efficiency of Belt and Road Initiative Countries Catching Up or Falling Behind? Evidence from a Panel Quantile Regression Approach, Energy Reports, 6, 225–232. https://doi.org/10.1016/j.egyr.2020.03.028
- Swamidass, P. M. (2007). The Effect of TPS on US Manufacturing during 1981–1998: Inventory Increased or Decreased as a Function of Plant Performance, International Journal of Production Research, 45(16), 3763–3785. https://doi.org/10.1080/00207540701223675
- Tanaka, K. (2008). Assessment of Energy Efficiency Performance Measures in Industry: Analysis of Aggregate Energy Intensity in Manufacturing and Effects of Sectoral Aggregation, Energy Economics, 30(2), 667–679.
- Torrie, R. D., Jaccard, M. and Hébert, M. (2018). Reconciling Energy Efficiency and Energy Intensity Metrics: An Integrated Decomposition Analysis, Energy Efficiency, 11, 2137–2151. https://doi.org/10.1007/s12053-018-9659-z
- Wanke, P., Azad, M. A. K. and Barros, C. P. (2020). Efficiency in the Chinese Energy Industry: A Bayesian Stochastic Frontier Analysis, Energy Economics, 85, 104573. https://doi.org/10.1016/j.cie.2020.106487
- World Steel Association. (2021). Climate Change and the Production of Iron and Steel, https://worldsteel.org/wp-content/uploads/Climate-change-production-of-iron-and-steel-2021.pdf.
- Zhou, P., Ang, B. W. and Zhou, D. Q. (2012). Measuring Economy-wide Energy Efficiency Performance: A Parametric Frontier Approach, Applied Energy, 90(1), 196-200. https://doi.org/10.1016/j.apenergy.2011.02.025
- Zhou, Y., Tokimatsu, K., Nishio, M. and Yue, Y. (2016). Evaluating the Energy Efficiency of China's Iron and Steel Sector Using Stochastic Frontier Analysis, Energy Policy, 88, 585–594.
- Özkan, O., Haruna, R. A. and Alola, A. A. (2023). Investigating the Nexus between Economic Complexity and Energy-related Environmental Risks in the USA: Empirical Evidence from Quantile Methods, Environmental Science and Pollution Research, 30, 12345–12358.