IDEAS home Printed from https://ideas.repec.org/a/eee/riibaf/v54y2020ics0275531919302363.html
   My bibliography  Save this article

Outsourcing and firm performance nexus: An analysis using the conventional and panel double-bootstrap procedure

Author

Listed:
  • Valiyattoor, Vipin
  • Bhandari, Anup Kumar

Abstract

Industrial performance is an essential element of economic progress. In this study, we examine the impact of outsourcing on industrial performance using the firm-level data of 191 textile companies in India over the period 2000–2015. First, we follow the conventional non-parametric two-stage procedure and analyse the nexus between outsourcing and firm performance under a single-objective setting. We then test the influence of outsourcing on the performance of multiple-objective firms using reverse directional distance function scores. To address the bias in efficiency estimation and the serial correlation issue in the second-stage regression, we use truncated regression and the double-bootstrap procedure for panel data analysis. Our results show an improvement in industrial performance over the study period. Our analysis following the conventional two-stage procedure shows that the outsourcing of manufacturing activities and professional jobs contributes to industrial performance. The relation between outsourcing and firm performance essentially remains the same in a more reliable analysis using a panel double bootstrap procedure.

Suggested Citation

  • Valiyattoor, Vipin & Bhandari, Anup Kumar, 2020. "Outsourcing and firm performance nexus: An analysis using the conventional and panel double-bootstrap procedure," Research in International Business and Finance, Elsevier, vol. 54(C).
    • Handle: RePEc:eee:riibaf:v:54:y:2020:i:c:s0275531919302363
    DOI: 10.1016/j.ribaf.2020.101279
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0275531919302363
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ribaf.2020.101279?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Bee Yan Aw & Mark J. Roberts & Daniel Yi Xu, 2011. "R&D Investment, Exporting, and Productivity Dynamics," American Economic Review, American Economic Association, vol. 101(4), pages 1312-1344, June.
    2. Leopold Simar & Paul Wilson, 2000. "A general methodology for bootstrapping in non-parametric frontier models," Journal of Applied Statistics, Taylor & Francis Journals, vol. 27(6), pages 779-802.
    3. Sourafel Girma & Holger Görg, 2004. "Outsourcing, Foreign Ownership, and Productivity: Evidence from UK Establishment‐level Data," Review of International Economics, Wiley Blackwell, vol. 12(5), pages 817-832, November.
    4. Van Biesebroeck, Johannes, 2005. "Firm Size Matters: Growth and Productivity Growth in African Manufacturing," Economic Development and Cultural Change, University of Chicago Press, vol. 53(3), pages 545-583, April.
    5. Philippe Aghion & Robin Burgess & Stephen J. Redding & Fabrizio Zilibotti, 2008. "The Unequal Effects of Liberalization: Evidence from Dismantling the License Raj in India," American Economic Review, American Economic Association, vol. 98(4), pages 1397-1412, September.
    6. Holger Görg & Aoife Hanley & Eric Strobl, 2008. "Productivity effects of international outsourcing: evidence from plant‐level data," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 41(2), pages 670-688, May.
    7. Gustavo Crespi & Chiara Criscuolo & Jonathan Haskel, 2008. "Productivity, exporting, and the learning‐by‐exporting hypothesis: direct evidence from UK firms," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 41(2), pages 619-638, May.
    8. Worthington, Andrew C. & Zelenyuk, Valentin, 2018. "Data envelopment analysis, truncated regression and double-bootstrap for panel data with application to Chinese bankingAuthor-Name: Du, Kai," European Journal of Operational Research, Elsevier, vol. 265(2), pages 748-764.
    9. Aparicio, Juan & Pastor, Jesus T. & Ray, Subhash C., 2013. "An overall measure of technical inefficiency at the firm and at the industry level: The ‘lost profit on outlay’," European Journal of Operational Research, Elsevier, vol. 226(1), pages 154-162.
    10. Cinzia Daraio & Léopold Simar & Paul W. Wilson, 2018. "Central limit theorems for conditional efficiency measures and tests of the ‘separability’ condition in non‐parametric, two‐stage models of production," Econometrics Journal, Royal Economic Society, vol. 21(2), pages 170-191, June.
    11. Gene M. Grossman & Elhanan Helpman, 2005. "Outsourcing in a Global Economy," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(1), pages 135-159.
    12. Fixler, Dennis J. & Siegel, Donald, 1999. "Outsourcing and productivity growth in services," Structural Change and Economic Dynamics, Elsevier, vol. 10(2), pages 177-194, June.
    13. Wolfgang Keller, 2004. "International Technology Diffusion," Journal of Economic Literature, American Economic Association, vol. 42(3), pages 752-782, September.
    14. Henry Tulkens & Philippe Eeckaut, 2006. "Nonparametric Efficiency, Progress and Regress Measures For Panel Data: Methodological Aspects," Springer Books, in: Parkash Chander & Jacques Drèze & C. Knox Lovell & Jack Mintz (ed.), Public goods, environmental externalities and fiscal competition, chapter 0, pages 395-429, Springer.
    15. Daraio, Cinzia & Simar, Leopold & Wilson, Paul, 2018. "Central limit theorems for conditional efficiency measures and tests of the ‘separability’ condition in non-parametric, two-stage models of production," LIDAM Reprints ISBA 2018023, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    16. Fabio Schiantarelli & Fidel Jaramillo, 2002. "Access to Long Term Debt and Effects on Firms' Performance: Lessons from Ecuador," Research Department Publications 3153, Inter-American Development Bank, Research Department.
    17. 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.
    18. Cinzia Daraio & Léopold Simar, 2007. "Conditional nonparametric frontier models for convex and nonconvex technologies: a unifying approach," Journal of Productivity Analysis, Springer, vol. 28(1), pages 13-32, October.
    19. Banker, Rajiv D. & Chang, Hsihui, 2006. "The super-efficiency procedure for outlier identification, not for ranking efficient units," European Journal of Operational Research, Elsevier, vol. 175(2), pages 1311-1320, December.
    20. 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.
    21. Timothy Besley & Robin Burgess, 2004. "Can Labor Regulation Hinder Economic Performance? Evidence from India," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(1), pages 91-134.
    22. Subhash C. Ray & Kankana Mukherjee, 2017. "A reverse directional distance function to reconcile between competing efficiency goals: an application to Indian manufacturing," Indian Economic Review, Springer, vol. 52(1), pages 103-126, December.
    23. K. J. Arrow, 1971. "The Economic Implications of Learning by Doing," Palgrave Macmillan Books, in: F. H. Hahn (ed.), Readings in the Theory of Growth, chapter 11, pages 131-149, Palgrave Macmillan.
    24. Bădin, Luiza & Daraio, Cinzia & Simar, Léopold, 2012. "How to measure the impact of environmental factors in a nonparametric production model," European Journal of Operational Research, Elsevier, vol. 223(3), pages 818-833.
    25. Andrés J. Picazo‐Tadeo & Ernest Reig‐Martínez, 2006. "Outsourcing and efficiency: the case of Spanish citrus farming," Agricultural Economics, International Association of Agricultural Economists, vol. 35(2), pages 213-222, September.
    26. Valentin Zelenyuk & Vitaliy Zheka, 2006. "Corporate Governance and Firm’s Efficiency: The Case of a Transitional Country, Ukraine," Journal of Productivity Analysis, Springer, vol. 25(1), pages 143-157, April.
    27. Dibyendu Maiti, 2013. "Market imperfections, trade reform and total factor productivity growth: theory and practices from India," Journal of Productivity Analysis, Springer, vol. 40(2), pages 207-218, October.
    28. Mitra, Arup & Varoudakis, Aristomene & Veganzones-Varoudakis, Marie-Ange, 2002. "Productivity and Technical Efficiency in Indian States' Manufacturing: The Role of Infrastructure," Economic Development and Cultural Change, University of Chicago Press, vol. 50(2), pages 395-426, January.
    29. Nandini Gupta, 2005. "Partial Privatization and Firm Performance," Journal of Finance, American Finance Association, vol. 60(2), pages 987-1015, April.
    30. Ross, Stephen A, 1973. "The Economic Theory of Agency: The Principal's Problem," American Economic Review, American Economic Association, vol. 63(2), pages 134-139, May.
    31. Jovanovic, Boyan, 1982. "Selection and the Evolution of Industry," Econometrica, Econometric Society, vol. 50(3), pages 649-670, May.
    32. Kotabe, Masaaki, 1989. ""Hollowing-out" of U.S. multinationals and their global competitiveness : An intrafirm perspective," Journal of Business Research, Elsevier, vol. 19(1), pages 1-15, August.
    33. Anup Kumar Bhandari & Pradip Maiti, 2007. "Efficiency of Indian Manufacturing Firms: Textile Industry as a Case Study," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 6(1), pages 71-88, April.
    34. Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
    35. R. G. Chambers & Y. Chung & R. Färe, 1998. "Profit, Directional Distance Functions, and Nerlovian Efficiency," Journal of Optimization Theory and Applications, Springer, vol. 98(2), pages 351-364, August.
    36. Kumar , Anup & Sudarsan, Arun, 2016. "Institutionalist versus distortionist views of labor market reforms: An investigation into the post-liberalized manufacturing sector in India," Journal of Economics, Finance and Administrative Science, Universidad ESAN, vol. 21(41), pages 63-72.
    37. Hummels, David & Ishii, Jun & Yi, Kei-Mu, 2001. "The nature and growth of vertical specialization in world trade," Journal of International Economics, Elsevier, vol. 54(1), pages 75-96, June.
    38. Gary Ferrier & Joseph Hirschberg, 1997. "Bootstrapping Confidence Intervals for Linear Programming Efficiency Scores: With an Illustration Using Italian Banking Data," Journal of Productivity Analysis, Springer, vol. 8(1), pages 19-33, March.
    39. 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.
    40. Mary Amiti & Shang-Jin Wei, 2006. "Service Offshoring and Productivity: Evidence from the United States," NBER Working Papers 11926, National Bureau of Economic Research, Inc.
    41. H. Son Nghiem & T. Coelli, 2002. "The Effect of Incentive Reforms Upon Productivity: Evidence from the Vietnamese Rice Industry," Journal of Development Studies, Taylor & Francis Journals, vol. 39(1), pages 74-93.
    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. Sari, Dyah Wulan & Restikasari, Wenny & Ajija, Shochrul Rohmatul & Tarbiyah Islamia, Haura Azzara & Muchtar, Darmawati, 2021. "The Impacts of Foreign Direct Investment and Export Expansion on the Performance of the High-Tech Manufacturing Industry," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 55(2), pages 91-105.
    2. Bhattacharya, Mita & Okafor, Luke Emeka & Pradeep, V., 2021. "International firm activities, R&D, and productivity: Evidence from Indian manufacturing firms," Economic Modelling, Elsevier, vol. 97(C), pages 1-13.
    3. Abd Hadi Mustaffa & Nur Zahidah Bahrudin & Zahariah Sahudin & Hasni Abdullah & Muhammad Ridzuan Abdul Aziz, 2023. "What have we Learned from Firm Efficiency Research for the Past 35 Years? A Bibliometric Analysis," Information Management and Business Review, AMH International, vol. 15(1), pages 216-227.

    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. Amir Moradi-Motlagh & Ali Emrouznejad, 2022. "The origins and development of statistical approaches in non-parametric frontier models: a survey of the first two decades of scholarly literature (1998–2020)," Annals of Operations Research, Springer, vol. 318(1), pages 713-741, November.
    2. Léopold Simar & Paul W. Wilson, 2015. "Statistical Approaches for Non-parametric Frontier Models: A Guided Tour," International Statistical Review, International Statistical Institute, vol. 83(1), pages 77-110, April.
    3. Gounopoulos, Dimitrios & Kallias, Konstantinos & Newton, David & Tzeremes, Nickolaos, 2016. "Political connections and IPO underpricing: An efficiency problem," MPRA Paper 69427, University Library of Munich, Germany.
    4. Valentin Zelenyuk, 2019. "Data Envelopment Analysis and Business Analytics: The Big Data Challenges and Some Solutions," CEPA Working Papers Series WP072019, School of Economics, University of Queensland, Australia.
    5. Cinzia Daraio & Léopold Simar & Paul W. Wilson, 2020. "Fast and efficient computation of directional distance estimators," Annals of Operations Research, Springer, vol. 288(2), pages 805-835, May.
    6. Engida, Tadesse Getacher & Rao, Xudong & Oude Lansink, Alfons G.J.M., 2020. "A dynamic by-production framework for analyzing inefficiency associated with corporate social responsibility," European Journal of Operational Research, Elsevier, vol. 287(3), pages 1170-1179.
    7. Esteve, Miriam & Aparicio, Juan & Rodriguez-Sala, Jesus J. & Zhu, Joe, 2023. "Random Forests and the measurement of super-efficiency in the context of Free Disposal Hull," European Journal of Operational Research, Elsevier, vol. 304(2), pages 729-744.
    8. Halkos, George & Tzeremes, Nickolaos, 2011. "A conditional full frontier modelling for analyzing environmental efficiency and economic growth," MPRA Paper 32839, University Library of Munich, Germany.
    9. Halkos, George & Tzeremes, Nickolaos, 2011. "A non-parametric analysis of the efficiency of the top European football clubs," MPRA Paper 31173, University Library of Munich, Germany.
    10. Liu, John S. & Lu, Louis Y.Y. & Lu, Wen-Min, 2016. "Research fronts in data envelopment analysis," Omega, Elsevier, vol. 58(C), pages 33-45.
    11. Nicola Galluzzo, 2021. "Estimation of the impact of CAP subsidies as environmental variables on Romanian farms," Economia agro-alimentare, FrancoAngeli Editore, vol. 23(3), pages 1-24.
    12. Thyago Celso Cavalcante Nepomuceno & Katarina Tatiana Marques Santiago & Cinzia Daraio & Ana Paula Cabral Seixas Costa, 2022. "Exogenous crimes and the assessment of public safety efficiency and effectiveness," Annals of Operations Research, Springer, vol. 316(2), pages 1349-1382, September.
    13. Massimo Finocchiaro Castro & Calogero Guccio & Ilde Rizzo, 2014. "An assessment of the waste effects of corruption on infrastructure provision," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 21(4), pages 813-843, August.
    14. Bernardino Benito & José Solana & María-Rocío Moreno, 2014. "Explaining efficiency in municipal services providers," Journal of Productivity Analysis, Springer, vol. 42(3), pages 225-239, December.
    15. Falavigna, G. & Ippoliti, R., 2020. "The socio-economic planning of a community nurses programme in mountain areas: A Directional Distance Function approach," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    16. Yiorgos Gadanakis & Francisco José Areal, 2020. "Accounting for rainfall and the length of growing season in technical efficiency analysis," Operational Research, Springer, vol. 20(4), pages 2583-2608, December.
    17. Calogero Guccio & Marco Ferdinando Martorana & Isidoro Mazza & Giacomo Pignataro & Ilde Rizzo, 2022. "Is innovation in ICT valuable for the efficiency of Italian museums?," European Planning Studies, Taylor & Francis Journals, vol. 30(9), pages 1695-1716, September.
    18. Uribe-Bohorquez, María-Victoria & Martínez-Ferrero, Jennifer & García-Sánchez, Isabel-María, 2018. "Board independence and firm performance: The moderating effect of institutional context," Journal of Business Research, Elsevier, vol. 88(C), pages 28-43.
    19. Bampatsou, Christina & Halkos, George, 2018. "Dynamics of productivity taking into consideration the impact of energy consumption and environmental degradation," Energy Policy, Elsevier, vol. 120(C), pages 276-283.
    20. Sebastian Kohl & Jan Schoenfelder & Andreas Fügener & Jens O. Brunner, 2019. "The use of Data Envelopment Analysis (DEA) in healthcare with a focus on hospitals," Health Care Management Science, Springer, vol. 22(2), pages 245-286, June.

    More about this item

    Keywords

    Firm performance; Outsourcing; Textile industry in India; DEA; Double bootstrapping;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • L24 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Contracting Out; Joint Ventures
    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance
    • L67 - Industrial Organization - - Industry Studies: Manufacturing - - - Other Consumer Nondurables: Clothing, Textiles, Shoes, and Leather Goods; Household Goods; Sports Equipment

    Statistics

    Access and download statistics

    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:eee:riibaf:v:54:y:2020:i:c:s0275531919302363. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ribaf .

    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.