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Productivity drain or productivity gain? The effect of new technology adoption in the oilfield market

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  • Zhang, Qizheng
  • Qian, Zesen
  • Wang, Shuo
  • Yuan, Lingran
  • Gong, Binlei

Abstract

This article aims to investigate the changing effects of new technology adoption on productivity convergence among oilfield service companies in the context of the shale technical revolution. A club convergence test is utilized to evaluate the competitiveness of each firm with and without new technologies, followed by a productivity catch-up model to identify the effect of new technology utilization over time. Using an unbalanced panel data of 114 major oilfield service companies worldwide from 1997 to 2014, the empirical results show that all firms with shale technologies are converging to the frontier. Increased utilization of shale technologies caused productivity drains when they were first invented, but then led to productivity gains when the technology became more sophisticated. Furthermore, productivity convergence was witnessed during the sample period.

Suggested Citation

  • Zhang, Qizheng & Qian, Zesen & Wang, Shuo & Yuan, Lingran & Gong, Binlei, 2022. "Productivity drain or productivity gain? The effect of new technology adoption in the oilfield market," Energy Economics, Elsevier, vol. 108(C).
    • Handle: RePEc:eee:eneeco:v:108:y:2022:i:c:s0140988322001086
    DOI: 10.1016/j.eneco.2022.105930
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    as
    1. Peter R. Hartley and Kenneth B. Medlock III, 2013. "Changes in the Operational Efficiency of National Oil Companies," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    2. Boothby, Daniel & Dufour, Anik & Tang, Jianmin, 2010. "Technology adoption, training and productivity performance," Research Policy, Elsevier, vol. 39(5), pages 650-661, June.
    3. Binlei Gong, 2020. "New Growth Accounting," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(2), pages 641-661, March.
    4. Gale A. Boyd, 2008. "Estimating Plant Level Energy Efficiency with a Stochastic Frontier," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 23-44.
    5. Galor, Oded, 1996. "Convergence? Inferences from Theoretical Models," Economic Journal, Royal Economic Society, vol. 106(437), pages 1056-1069, July.
    6. Kopsakangas-Savolainen, Maria & Svento, Rauli, 2011. "Observed and unobserved heterogeneity in stochastic frontier models: An application to the electricity distribution industry," Energy Economics, Elsevier, vol. 33(2), pages 304-310, March.
    7. Chevalier, Paul-Antoine & Lecat, Rémy & Oulton, Nicholas, 2012. "Convergence of firm-level productivity, globalisation and information technology: Evidence from France," Economics Letters, Elsevier, vol. 116(2), pages 244-246.
    8. Peter C. B. Phillips & Donggyu Sul, 2009. "Economic transition and growth," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(7), pages 1153-1185.
    9. Chen, Shuai & Gong, Binlei, 2021. "Response and adaptation of agriculture to climate change: Evidence from China," Journal of Development Economics, Elsevier, vol. 148(C).
    10. James Bessen, 2002. "Technology Adoption Costs and Productivity Growth: The Transition to Information Technology," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 5(2), pages 443-469, April.
    11. Jinhyung Lee & Jeffrey S. McCullough & Robert J. Town, 2013. "The impact of health information technology on hospital productivity," RAND Journal of Economics, RAND Corporation, vol. 44(3), pages 545-568, September.
    12. Amsler, Christine & Prokhorov, Artem & Schmidt, Peter, 2016. "Endogeneity in stochastic frontier models," Journal of Econometrics, Elsevier, vol. 190(2), pages 280-288.
    13. Robin C. Sickles & Mary L. Streitwieser, 1998. "An analysis of technology, productivity, and regulatory distortion in the interstate natural gas transmission industry: 1977-1985," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 13(4), pages 377-395.
    14. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    15. Olley, G Steven & Pakes, Ariel, 1996. "The Dynamics of Productivity in the Telecommunications Equipment Industry," Econometrica, Econometric Society, vol. 64(6), pages 1263-1297, November.
    16. Cette, Gilbert & Corde, Simon & Lecat, Rémy, 2018. "Firm-level productivity dispersion and convergence," Economics Letters, Elsevier, vol. 166(C), pages 76-78.
    17. Binlei Gong, 2020. "Effects of Ownership and Business Portfolio on Production in the Oil and Gas Industry," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).
    18. Binlei Gong & Robin C. Sickles, 2020. "Non-structural and structural models in productivity analysis: study of the British Isles during the 2007–2009 financial crisis," Journal of Productivity Analysis, Springer, vol. 53(2), pages 243-263, April.
    19. Rachel Griffith & Elena Huergo & Jacques Mairesse & Bettina Peters, 2006. "Innovation and Productivity Across Four European Countries," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 22(4), pages 483-498, Winter.
    20. Schmidt, Peter & Sickles, Robin C, 1984. "Production Frontiers and Panel Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(4), pages 367-374, October.
    21. Dosi, Giovanni, 1993. "Technological paradigms and technological trajectories : A suggested interpretation of the determinants and directions of technical change," Research Policy, Elsevier, vol. 22(2), pages 102-103, April.
    22. Daniel A. Ackerberg & Kevin Caves & Garth Frazer, 2015. "Identification Properties of Recent Production Function Estimators," Econometrica, Econometric Society, vol. 83, pages 2411-2451, November.
    23. Ioannis Bournakis, 2012. "Sources of TFP growth in a framework of convergence-evidence from Greece," International Review of Applied Economics, Taylor & Francis Journals, vol. 26(1), pages 47-72, January.
    24. Zesen Qian & Lingran Yuan & Shuo Wang & Qizheng Zhang & Binlei Gong, 2021. "Epidemics, Convergence, and Common Prosperity: Evidence from China," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 29(6), pages 117-138, November.
    25. Konrad Lyncker & Rasmus Thoennessen, 2017. "Regional club convergence in the EU: evidence from a panel data analysis," Empirical Economics, Springer, vol. 52(2), pages 525-553, March.
    26. Subal C. Kumbhakar & Gudbrand Lien, 2017. "Yardstick Regulation of Electricity Distribution Disentangling Short-run and Long-run Inefficiencies," The Energy Journal, International Association for Energy Economics, vol. 0(Number 5).
    27. James Levinsohn & Amil Petrin, 2003. "Estimating Production Functions Using Inputs to Control for Unobservables," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 70(2), pages 317-341.
    28. Bernard, Andrew B & Jones, Charles I, 1996. "Comparing Apples to Oranges: Productivity Convergence and Measurement across Industries and Countries," American Economic Review, American Economic Association, vol. 86(5), pages 1216-1238, December.
    29. Peter C. B. Phillips & Donggyu Sul, 2007. "Transition Modeling and Econometric Convergence Tests," Econometrica, Econometric Society, vol. 75(6), pages 1771-1855, November.
    30. Binlei Gong, 2019. "Like father like son? Revisiting the role of parental education in estimating returns to education in China," Review of Development Economics, Wiley Blackwell, vol. 23(1), pages 275-292, February.
    31. Gong, Binlei, 2020. "Agricultural productivity convergence in China," China Economic Review, Elsevier, vol. 60(C).
    32. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    33. Greene, William, 2005. "Reconsidering heterogeneity in panel data estimators of the stochastic frontier model," Journal of Econometrics, Elsevier, vol. 126(2), pages 269-303, June.
    34. Binlei Gong & Robin C. Sickles, 2021. "Resource allocation in multi-divisional multi-product firms," Journal of Productivity Analysis, Springer, vol. 55(2), pages 47-70, April.
    35. Bartolucci, Francesco & Belotti, Federico & Peracchi, Franco, 2015. "Testing for time-invariant unobserved heterogeneity in generalized linear models for panel data," Journal of Econometrics, Elsevier, vol. 184(1), pages 111-123.
    36. Stacy Eller & Peter Hartley & Kenneth Medlock, 2011. "Empirical evidence on the operational efficiency of National Oil Companies," Empirical Economics, Springer, vol. 40(3), pages 623-643, May.
    37. Federico Belotti & Silvio Daidone & Giuseppe Ilardi & Vincenzo Atella, 2013. "Stochastic frontier analysis using Stata," Stata Journal, StataCorp LP, vol. 13(4), pages 718-758, December.
    38. Manuel Llorca & José Baños & José Somoza & Pelayo Arbués, 2017. "A Stochastic Frontier Analysis Approach for Estimating Energy Demand and Efficiency in the Transport Sector of Latin America and the Caribbean," The Energy Journal, International Association for Energy Economics, vol. 0(Number 5).
    39. Bournakis, Ioannis & Mallick, Sushanta, 2018. "TFP estimation at firm level: The fiscal aspect of productivity convergence in the UK," Economic Modelling, Elsevier, vol. 70(C), pages 579-590.
    40. Kumbhakar, Subal C., 1990. "Production frontiers, panel data, and time-varying technical inefficiency," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 201-211.
    41. Berlemann Michael & Wesselhöft Jan-Erik, 2014. "Estimating Aggregate Capital Stocks Using the Perpetual Inventory Method: A Survey of Previous Implementations and New Empirical Evidence for 103 Countries," Review of Economics, De Gruyter, vol. 65(1), pages 1-34, April.
    42. Eric Bartelsman & John Haltiwanger & Stefano Scarpetta, 2013. "Cross-Country Differences in Productivity: The Role of Allocation and Selection," American Economic Review, American Economic Association, vol. 103(1), pages 305-334, February.
    43. Geroski, P A, 1991. "Innovation and the Sectoral," Economic Journal, Royal Economic Society, vol. 101(409), pages 1438-1451, November.
    44. Hartley, Peter & Medlock III, Kenneth B., 2008. "A model of the operation and development of a National Oil Company," Energy Economics, Elsevier, vol. 30(5), pages 2459-2485, September.
    45. Fisman, Raymond & Svensson, Jakob, 2007. "Are corruption and taxation really harmful to growth? Firm level evidence," Journal of Development Economics, Elsevier, vol. 83(1), pages 63-75, May.
    46. Gong, Binlei, 2018. "Agricultural reforms and production in China: Changes in provincial production function and productivity in 1978–2015," Journal of Development Economics, Elsevier, vol. 132(C), pages 18-31.
    47. Fuentelsaz, Lucio & Gómez, Jaime & Palomas, Sergio, 2009. "The effects of new technologies on productivity: An intrafirm diffusion-based assessment," Research Policy, Elsevier, vol. 38(7), pages 1172-1180, September.
    48. Parisi, Maria Laura & Schiantarelli, Fabio & Sembenelli, Alessandro, 2006. "Productivity, innovation and R&D: Micro evidence for Italy," European Economic Review, Elsevier, vol. 50(8), pages 2037-2061, November.
    49. Luis Orea, Inmaculada C. Álvarez, and Tooraj Jamasb, 2018. "A Spatial Stochastic Frontier Model with Omitted Variables: Electricity Distribution in Norway," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    50. Shurui Zhang & Shuo Wang & Lingran Yuan & Xiaoguang Liu & Binlei Gong, 2020. "The impact of epidemics on agricultural production and forecast of COVID-19," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 12(3), pages 409-425, July.
    51. Cornwell, Christopher & Schmidt, Peter & Sickles, Robin C., 1990. "Production frontiers with cross-sectional and time-series variation in efficiency levels," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 185-200.
    52. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    53. Lingran Yuan & Shurui Zhang & Shuo Wang & Zesen Qian & Binlei Gong, 2021. "World agricultural convergence," Journal of Productivity Analysis, Springer, vol. 55(2), pages 135-153, April.
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    More about this item

    Keywords

    New technology adoption; Shale technical revolution; Oilfield market; Productivity convergence; Stochastic frontier analysis;
    All these keywords.

    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • E23 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Production

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