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Does Reduction of Material and Energy Consumption Affect to Innovation Efficiency? The Case of Manufacturing Industry in South Korea

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  • Jaeho Shin

    (College of Business Administration, Seoul National University, Seoul 08826, Korea
    These authors contributed equally to this work.)

  • Changhee Kim

    (College of Business Administration, Incheon National University, Incheon 22012, Korea
    These authors contributed equally to this work.)

  • Hongsuk Yang

    (College of Business Administration, Seoul National University, Seoul 08826, Korea)

Abstract

“Reduction of material and energy consumption” (RMEC) exists as a major objective of innovation and it is proved to affect positively to innovation performance from previous literature. Though innovation should be measured in efficiency rather than performance itself, however, the relationship between material and energy reduction on innovation efficiency is still unanswered. In this paper, we analyzed the effect of RMEC on innovation efficiency considering both innovation inputs and outputs. We utilized data of 388 manufacturing enterprises in Korea, and performed data envelopment analysis (DEA) and tobit regression analysis. According to the result, firms show difference by industry type in terms of innovation efficiency and RMEC. Moreover, the effect of RMEC on innovation efficiency turned out to be negative. The result indicates a possibility that input used for innovation might overweigh the output yielded when firms pursue innovation for the RMEC.

Suggested Citation

  • Jaeho Shin & Changhee Kim & Hongsuk Yang, 2019. "Does Reduction of Material and Energy Consumption Affect to Innovation Efficiency? The Case of Manufacturing Industry in South Korea," Energies, MDPI, vol. 12(6), pages 1-14, March.
  • Handle: RePEc:gam:jeners:v:12:y:2019:i:6:p:1178-:d:217358
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    as
    1. Per Andersen & Niels Christian Petersen, 1993. "A Procedure for Ranking Efficient Units in Data Envelopment Analysis," Management Science, INFORMS, vol. 39(10), pages 1261-1264, October.
    2. Kneip, Alois & Simar, Léopold & Wilson, Paul W., 2008. "Asymptotics And Consistent Bootstraps For Dea Estimators In Nonparametric Frontier Models," Econometric Theory, Cambridge University Press, vol. 24(6), pages 1663-1697, December.
    3. Guan, Jiancheng & Chen, Kaihua, 2012. "Modeling the relative efficiency of national innovation systems," Research Policy, Elsevier, vol. 41(1), pages 102-115.
    4. Barbara Casu & Philip Molyneux, 2003. "A comparative study of efficiency in European banking," Applied Economics, Taylor & Francis Journals, vol. 35(17), pages 1865-1876.
    5. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    6. Daniel Jugend & Joao Victor Rojas Luiz & Charbel Jose Chiappetta Jabbour & Sérgio Luis a Silva & Ana Beatriz Lopes de Sousa Jabbour & Manoel Henrique Salgado, 2017. "Green Product Development and Product Portfolio Management: Empirical Evidence from an Emerging Economy," Business Strategy and the Environment, Wiley Blackwell, vol. 26(8), pages 1181-1195, December.
    7. Wang, Chun-Hsien & Lu, Yung-Hsiang & Huang, Chin-Wei & Lee, Jun-Yen, 2013. "R&D, productivity, and market value: An empirical study from high-technology firms," Omega, Elsevier, vol. 41(1), pages 143-155.
    8. Masaaki Kotabe & Janet Y Murray, 1990. "Linking Product and Process Innovations and Modes of International Sourcing in Global Competition: A Case of Foreign Multinational Firms," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 21(3), pages 383-408, September.
    9. Léopold Simar & Paul W. Wilson, 1998. "Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models," Management Science, INFORMS, vol. 44(1), pages 49-61, January.
    10. Chen, Yao, 2005. "Measuring super-efficiency in DEA in the presence of infeasibility," European Journal of Operational Research, Elsevier, vol. 161(2), pages 545-551, March.
    11. John W. Welte & Grace M. Barnes & William F. Wieczorek & Marie-Cecile O. Tidwell & Joseph H. Hoffman, 2007. "Type of Gambling and Availability as Risk Factors for Problem Gambling: A Tobit Regression Analysis by Age and Gender," International Gambling Studies, Taylor & Francis Journals, vol. 7(2), pages 183-198, August.
    12. Kunapatarawong, Rasi & Martínez-Ros, Ester, 2016. "Towards green growth: How does green innovation affect employment?," Research Policy, Elsevier, vol. 45(6), pages 1218-1232.
    13. Mohamed Ariff & Luc Can, 2009. "IMF Bank-Restructuring Efficiency Outcomes: Evidence from East Asia," Journal of Financial Services Research, Springer;Western Finance Association, vol. 35(2), pages 167-187, April.
    14. Yu-Shu Peng & Shing-Shiuan Lin, 2008. "Local Responsiveness Pressure, Subsidiary Resources, Green Management Adoption and Subsidiary’s Performance: Evidence from Taiwanese Manufactures," Journal of Business Ethics, Springer, vol. 79(1), pages 199-212, April.
    15. Perrigot, Rozenn & Barros, Carlos Pestana, 2008. "Technical efficiency of French retailers," Journal of Retailing and Consumer Services, Elsevier, vol. 15(4), pages 296-305.
    16. Jaeho Shin & Changhee Kim & Hongsuk Yang, 2018. "The Effect of Sustainability as Innovation Objectives on Innovation Efficiency," Sustainability, MDPI, vol. 10(6), pages 1-13, June.
    17. Fera, M. & Macchiaroli, R. & Iannone, R. & Miranda, S. & Riemma, S., 2016. "Economic evaluation model for the energy Demand Response," Energy, Elsevier, vol. 112(C), pages 457-468.
    18. Wang, Qunwei & Hang, Ye & Sun, Licheng & Zhao, Zengyao, 2016. "Two-stage innovation efficiency of new energy enterprises in China: A non-radial DEA approach," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 254-261.
    19. Yu-Shan Chen & Shyh-Bao Lai & Chao-Tung Wen, 2006. "The Influence of Green Innovation Performance on Corporate Advantage in Taiwan," Journal of Business Ethics, Springer, vol. 67(4), pages 331-339, September.
    20. Khoshroo, Alireza & Mulwa, Richard & Emrouznejad, Ali & Arabi, Behrouz, 2013. "A non-parametric Data Envelopment Analysis approach for improving energy efficiency of grape production," Energy, Elsevier, vol. 63(C), pages 189-194.
    21. Kaihua Chen & Jiancheng Guan, 2012. "Measuring the Efficiency of China's Regional Innovation Systems: Application of Network Data Envelopment Analysis (DEA)," Regional Studies, Taylor & Francis Journals, vol. 46(3), pages 355-377, April.
    22. Zhong, Wei & Yuan, Wei & Li, Susan X. & Huang, Zhimin, 2011. "The performance evaluation of regional R&D investments in China: An application of DEA based on the first official China economic census data," Omega, Elsevier, vol. 39(4), pages 447-455, August.
    23. Aija Leiponen & Constance E. Helfat, 2010. "Innovation objectives, knowledge sources, and the benefits of breadth," Strategic Management Journal, Wiley Blackwell, vol. 31(2), pages 224-236, February.
    24. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    25. GUAN, Jian Cheng & YAM, Richard C.M. & Tang, Esther P.Y. & Lau, Antonio K.W., 2009. "Innovation strategy and performance during economic transition: Evidences in Beijing, China," Research Policy, Elsevier, vol. 38(5), pages 802-812, June.
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