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Labor Union Effects on Innovation and Commercialization Productivity: An Integrated Propensity Score Matching and Two-Stage Data Envelopment Analysis

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  • Dongphil Chun

    (Policy Development Team, Division of Policy and Cooperation, Korea Research Institute of Chemical Technology (KRICT), Yuseong-gu, Daejeon 305-600, Korea)

  • Yanghon Chung

    (Korea Advanced Institute of Science and Technology, 291, Daehak-ro, Yuseong-gu, Daejeon 305-701, Korea)

  • Chungwon Woo

    (Korea Advanced Institute of Science and Technology, 291, Daehak-ro, Yuseong-gu, Daejeon 305-701, Korea)

  • Hangyeol Seo

    (Korea Advanced Institute of Science and Technology, 291, Daehak-ro, Yuseong-gu, Daejeon 305-701, Korea)

  • Hyesoo Ko

    (Korea Advanced Institute of Science and Technology, 291, Daehak-ro, Yuseong-gu, Daejeon 305-701, Korea)

Abstract

Research and development (R&D) is a critical factor in sustaining a firm’s competitive advantage. Accurate measurement of R&D productivity and investigation of its influencing factors are of value for R&D productivity improvements. This study is divided into two sections. The first section outlines the innovation and commercialization stages of firm-level R&D activities. This section analyzes the productivity of each stage using a propensity score matching (PSM) and two-stage data envelopment analysis (DEA) integrated model to solve the selection bias problem. Second, this study conducts a comparative analysis among subgroups categorized as labor unionized or non-labor unionized on productivity at each stage. We used Korea Innovation Survey (KIS) data for analysis using a sample of 400 Korean manufacturers. The key findings of this study include: (1) firm innovation and commercialization productivity are balanced and show relatively low innovation productivity; and (2) labor unions have a positive effect on commercialization productivity. Moreover, labor unions are an influential factor in determining manufacturing firms’ commercialization productivity.

Suggested Citation

  • Dongphil Chun & Yanghon Chung & Chungwon Woo & Hangyeol Seo & Hyesoo Ko, 2015. "Labor Union Effects on Innovation and Commercialization Productivity: An Integrated Propensity Score Matching and Two-Stage Data Envelopment Analysis," Sustainability, MDPI, vol. 7(5), pages 1-19, April.
    • Handle: RePEc:gam:jsusta:v:7:y:2015:i:5:p:5120-5138:d:48786
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    as
    1. Fare, Rolf & Grosskopf, Shawna, 1996. "Productivity and intermediate products: A frontier approach," Economics Letters, Elsevier, vol. 50(1), pages 65-70, January.
    2. Machin, Stephen & Stewart, Mark, 1996. "Trade Unions and Financial Performance," Oxford Economic Papers, Oxford University Press, vol. 48(2), pages 213-241, April.
    3. Yung-ho Chiu & Chin-wei Huang & Yu-Chuan Chen, 2012. "The R&D value-chain efficiency measurement for high-tech industries in China," Asia Pacific Journal of Management, Springer, vol. 29(4), pages 989-1006, December.
    4. Inha Oh & Jeong-Dong Lee & Almas Heshmati & Gyoung-Gyu Choi, 2009. "Evaluation of credit guarantee policy using propensity score matching," Small Business Economics, Springer, vol. 33(3), pages 335-351, October.
    5. Lööf, Hans & Heshmati, Almas, 2004. "The Impact of Public Funding on Private R&D investment: New Evidence from a Firm Level Innovation Study," Working Paper Series in Economics and Institutions of Innovation 6, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies, revised 01 Mar 2005.
    6. Spyros Arvanitis, 2005. "Modes of labor flexibility at firm level: Are there any implications for performance and innovation? Evidence for the Swiss economy," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 14(6), pages 993-1016, December.
    7. Thomas Sexton & Herbert Lewis, 2003. "Two-Stage DEA: An Application to Major League Baseball," Journal of Productivity Analysis, Springer, vol. 19(2), pages 227-249, April.
    8. Engel, Dirk & Keilbach, Max, 2007. "Firm-level implications of early stage venture capital investment -- An empirical investigation," Journal of Empirical Finance, Elsevier, vol. 14(2), pages 150-167, March.
    9. Michie, Jonathan & Sheehan, Maura, 1999. "HRM Practices, R&D Expenditure and Innovative Investment: Evidence from the UK's 1990 Workplace Industrial Relations Survey (WIRS)," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 8(2), pages 211-234, June.
    10. Utterback, James M & Abernathy, William J, 1975. "A dynamic model of process and product innovation," Omega, Elsevier, vol. 3(6), pages 639-656, December.
    11. 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.
    12. Julian R. Betts & Cameron W. Odgers & Michael K. Wilson, 2001. "The effects of unions on research and development: an empirical analysis using multi-year data," Canadian Journal of Economics, Canadian Economics Association, vol. 34(3), pages 785-806, August.
    13. Kim B. Clark, 1982. "Unionization and Firm Performance: The Impact on Profits, Growth and Productivity," NBER Working Papers 0990, National Bureau of Economic Research, Inc.
    14. James Heckman & Salvador Navarro-Lozano, 2004. "Using Matching, Instrumental Variables, and Control Functions to Estimate Economic Choice Models," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 30-57, February.
    15. Alex Bryson & Lorenzo Cappellari & Claudio Lucifora, 2004. "Does Union Membership Really Reduce Job Satisfaction?," British Journal of Industrial Relations, London School of Economics, vol. 42(3), pages 439-459, September.
    16. Mansfield, Edwin, 1981. "Composition of R and D Expenditures: Relationship to Size of Firm, Concentration, and Innovative Output," The Review of Economics and Statistics, MIT Press, vol. 63(4), pages 610-615, November.
    17. Connolly, Robert A & Hirsch, Barry T & Hirschey, Mark, 1986. "Union Rent Seeking, Intangible Capital, and Market Value of the Firm," The Review of Economics and Statistics, MIT Press, vol. 68(4), pages 567-577, November.
    18. Haibo Zhou & Ronald Dekker & Alfred Kleinknecht, 2011. "Flexible labor and innovation performance: evidence from longitudinal firm-level data," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 20(3), pages 941-968, June.
    19. A. Smith, Jeffrey & E. Todd, Petra, 2005. "Does matching overcome LaLonde's critique of nonexperimental estimators?," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 305-353.
    20. Zoltan J. Acs & David B. Audretsch, 2008. "Innovation in Large and Small Firms: An Empirical Analysis," Chapters, in: Entrepreneurship, Growth and Public Policy, chapter 1, pages 3-15, Edward Elgar Publishing.
    21. Hirsch, Barry T, 1991. "Union Coverage and Profitability among U.S. Firms," The Review of Economics and Statistics, MIT Press, vol. 73(1), pages 69-77, February.
    22. Kamien, Morton I & Muller, Eitan & Zang, Israel, 1992. "Research Joint Ventures and R&D Cartels," American Economic Review, American Economic Association, vol. 82(5), pages 1293-1306, December.
    23. John T. Addison & Joachim Wagner, 1994. "UK Unionism and Innovative Activity: Some Cautionary Remarks on the Basis of a Simple Cross-country Test," British Journal of Industrial Relations, London School of Economics, vol. 32(1), pages 85-98, March.
    24. Bronars, Stephen G & Deere, Donald R, 1993. "Unionization, Incomplete Contracting, and Capital Investment," The Journal of Business, University of Chicago Press, vol. 66(1), pages 117-132, January.
    25. Lawrence M. Seiford & Joe Zhu, 1999. "Profitability and Marketability of the Top 55 U.S. Commercial Banks," Management Science, INFORMS, vol. 45(9), pages 1270-1288, September.
    26. Jens Matthias Arnold & Katrin Hussinger, 2005. "Export Behavior and Firm Productivity in German Manufacturing: A Firm-Level Analysis," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 141(2), pages 219-243, July.
    27. Geroski, P A, 1990. "Innovation, Technological Opportunity, and Market Structure," Oxford Economic Papers, Oxford University Press, vol. 42(3), pages 586-602, July.
    28. Harabi, Najib, 1995. "Appropriability of technical innovations an empirical analysis," Research Policy, Elsevier, vol. 24(6), pages 981-992, November.
    29. Lee, Hakyeon & Park, Yongtae & Choi, Hoogon, 2009. "Comparative evaluation of performance of national R&D programs with heterogeneous objectives: A DEA approach," European Journal of Operational Research, Elsevier, vol. 196(3), pages 847-855, August.
    30. Heshmati, Almas & Loof, Hans, 2005. "The Impact of Public Funds on Private R&D Investment: New Evidence from a Firm Level Innovation Study," Discussion Papers 11862, MTT Agrifood Research Finland.
    31. Yasar, Mahmut & Rejesus, Roderick M., 2005. "Exporting status and firm performance: Evidence from a matched sample," Economics Letters, Elsevier, vol. 88(3), pages 397-402, September.
    32. Wang, Eric C. & Huang, Weichiao, 2007. "Relative efficiency of R&D activities: A cross-country study accounting for environmental factors in the DEA approach," Research Policy, Elsevier, vol. 36(2), pages 260-273, March.
    33. Markus Frölich & Almas Heshmati & Michael Lechner, 2004. "A microeconometric evaluation of rehabilitation of long-term sickness in Sweden," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(3), pages 375-396.
    34. Morikawa, Masayuki, 2010. "Labor unions and productivity: An empirical analysis using Japanese firm-level data," Labour Economics, Elsevier, vol. 17(6), pages 1030-1037, December.
    35. Menezes-Filho, Naercio Aquino, 1997. "Unions and Profitability over the 1980s: Some Evidence on Union-Firm Bargaining in the United Kingdom," Economic Journal, Royal Economic Society, vol. 107(442), pages 651-670, May.
    36. James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 605-654.
    37. Alberto Abadie & David Drukker & Jane Leber Herr & Guido W. Imbens, 2004. "Implementing matching estimators for average treatment effects in Stata," Stata Journal, StataCorp LP, vol. 4(3), pages 290-311, September.
    38. Rajeev H. Dehejia & Sadek Wahba, 2002. "Propensity Score-Matching Methods For Nonexperimental Causal Studies," The Review of Economics and Statistics, MIT Press, vol. 84(1), pages 151-161, February.
    39. Czarnitzki, Dirk & Thorwarth, Susanne, 2012. "Productivity effects of basic research in low-tech and high-tech industries," Research Policy, Elsevier, vol. 41(9), pages 1555-1564.
    40. Van Reenen, John & Menezes-Filho, Naercio, 2003. "Unions and Innovation: A Survey of the Theory and Empirical Evidence," CEPR Discussion Papers 3792, C.E.P.R. Discussion Papers.
    41. Ulph, Alistair & Ulph, David, 1989. "Labor markets and innovation," Journal of the Japanese and International Economies, Elsevier, vol. 3(4), pages 403-423, December.
    42. Banker, Rajiv D. & Gadh, Vandana M. & Gorr, Wilpen L., 1993. "A Monte Carlo comparison of two production frontier estimation methods: Corrected ordinary least squares and data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 67(3), pages 332-343, June.
    43. Naercio Menezes-Filho & David Ulph & John Van Reenen, 1998. "R&D and Unionism: Comparative Evidence from British Companies and Establishments," ILR Review, Cornell University, ILR School, vol. 52(1), pages 45-63, October.
    44. Voos, Paula B & Mishel, Lawrence R, 1986. "The Union Impact on Profits: Evidence from Industry Price-Cost Margin Data," Journal of Labor Economics, University of Chicago Press, vol. 4(1), pages 105-133, January.
    45. Donna Marie DeCarolis & David L. Deeds, 1999. "The impact of stocks and flows of organizational knowledge on firm performance: an empirical investigation of the biotechnology industry," Strategic Management Journal, Wiley Blackwell, vol. 20(10), pages 953-968, October.
    46. Paradi, Joseph C. & Rouatt, Stephen & Zhu, Haiyan, 2011. "Two-stage evaluation of bank branch efficiency using data envelopment analysis," Omega, Elsevier, vol. 39(1), pages 99-109, January.
    47. Saranga, Haritha & Moser, Roger, 2010. "Performance evaluation of purchasing and supply management using value chain DEA approach," European Journal of Operational Research, Elsevier, vol. 207(1), pages 197-205, November.
    48. 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.
    49. Machin, Stephen & Wadhwani, Sushil, 1991. "The Effects of Unions of Investment and Innovation: Evidence from WIRS," Economic Journal, Royal Economic Society, vol. 101(405), pages 324-330, March.
    50. Chris Freeman & Luc Soete, 1997. "The Economics of Industrial Innovation, 3rd Edition," MIT Press Books, The MIT Press, edition 3, volume 1, number 0262061953, December.
    51. Julian R. Betts & Cameron W. Odgers & Michael K. Wilson, 2001. "The effects of unions on research and development: an empirical analysis using multi‐year data," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 34(3), pages 785-806, August.
    52. Richard Blundell & Rachel Griffith & John van Reenen, 1999. "Market Share, Market Value and Innovation in a Panel of British Manufacturing Firms," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 66(3), pages 529-554.
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    7. Chun, Dongphil & Hong, Sungjun & Chung, Yanghon & Woo, Chungwon & Seo, Hangyeol, 2016. "Influencing factors on hydrogen energy R&D projects: An ex-post performance evaluation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 1252-1258.
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