IDEAS home Printed from https://ideas.repec.org/a/wly/mgtdec/v41y2020i3p339-353.html
   My bibliography  Save this article

Capital, labor, and derived demand for information: Evidence from China

Author

Listed:
  • Xiaofeng Li
  • Tingjie Lu

Abstract

In this paper, information capital is considered as a separate input of production along with noninformation capital and labor. The substitution possibility among information capital, noninformation capital and labor has been estimated by nonlinear iterative algorithm using Chinese data for 1995–2017. The empirical results from the study imply that estimates of Chinese input substitution degree and productivity are underestimated without including information capital as an input separate from noninformation capital. When information capital and labor are combined, the contribution ratio of labor force may increase. Information capital interacts with noninformation capital and labor to promote economic development and production efficiency.

Suggested Citation

  • Xiaofeng Li & Tingjie Lu, 2020. "Capital, labor, and derived demand for information: Evidence from China," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(3), pages 339-353, April.
  • Handle: RePEc:wly:mgtdec:v:41:y:2020:i:3:p:339-353
    DOI: 10.1002/mde.3103
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/mde.3103
    Download Restriction: no

    File URL: https://libkey.io/10.1002/mde.3103?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
    ---><---

    References listed on IDEAS

    as
    1. Prieger, James E., 2013. "The broadband digital divide and the economic benefits of mobile broadband for rural areas," Telecommunications Policy, Elsevier, vol. 37(6), pages 483-502.
    2. Sanjeev Dewan & Kenneth L. Kraemer, 2000. "Information Technology and Productivity: Evidence from Country-Level Data," Management Science, INFORMS, vol. 46(4), pages 548-562, April.
    3. Chang-Tai Hsieh & Peter J. Klenow, 2009. "Misallocation and Manufacturing TFP in China and India," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(4), pages 1403-1448.
    4. Tasso Adamopoulos & Loren Brandt & Jessica Leight & Diego Restuccia, 2022. "Misallocation, Selection, and Productivity: A Quantitative Analysis With Panel Data From China," Econometrica, Econometric Society, vol. 90(3), pages 1261-1282, May.
    5. Ceccobelli, M. & Gitto, S. & Mancuso, P., 2012. "ICT capital and labour productivity growth: A non-parametric analysis of 14 OECD countries," Telecommunications Policy, Elsevier, vol. 36(4), pages 282-292.
    6. Henningsen, Arne & Henningsen, Géraldine, 2012. "On estimation of the CES production function—Revisited," Economics Letters, Elsevier, vol. 115(1), pages 67-69.
    7. Pohjola, Matti (ed.), 2001. "Information Technology, Productivity, and Economic Growth: International Evidence and Implications for Economic Development," OUP Catalogue, Oxford University Press, number 9780199243983.
    8. Rainer Klump & Peter McAdam & Alpo Willman, 2007. "Factor Substitution and Factor-Augmenting Technical Progress in the United States: A Normalized Supply-Side System Approach," The Review of Economics and Statistics, MIT Press, vol. 89(1), pages 183-192, February.
    9. Shahiduzzaman, Md. & Alam, Khorshed, 2014. "Information technology and its changing roles to economic growth and productivity in Australia," Telecommunications Policy, Elsevier, vol. 38(2), pages 125-135.
    10. Thursby, Jerry G & Lovell, C A Knox, 1978. "An Investigation of the Kmenta Approximation to the CES Function," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 19(2), pages 363-377, June.
    11. David, Paul A, 1990. "The Dynamo and the Computer: An Historical Perspective on the Modern Productivity Paradox," American Economic Review, American Economic Association, vol. 80(2), pages 355-361, May.
    12. Berndt, Ernst R & Wood, David O, 1975. "Technology, Prices, and the Derived Demand for Energy," The Review of Economics and Statistics, MIT Press, vol. 57(3), pages 259-268, August.
    13. Arne Henningsen & Géraldine Henningsen, 2011. "Econometric Estimation of the “Constant Elasticity of Substitution" Function in R: Package micEconCES," IFRO Working Paper 2011/9, University of Copenhagen, Department of Food and Resource Economics.
    14. Su, Xuanming & Zhou, Weisheng & Nakagami, Ken'Ichi & Ren, Hongbo & Mu, Hailin, 2012. "Capital stock-labor-energy substitution and production efficiency study for China," Energy Economics, Elsevier, vol. 34(4), pages 1208-1213.
    15. Zha, Donglan & Zhou, Dequn, 2014. "The elasticity of substitution and the way of nesting CES production function with emphasis on energy input," Applied Energy, Elsevier, vol. 130(C), pages 793-798.
    16. Keting Shen & John Whalley, 2013. "Capital-Labor-Energy Substitution in Nested CES Production Functions for China," NBER Working Papers 19104, National Bureau of Economic Research, Inc.
    17. Chen, Yueh H. & Lin, Winston T., 2009. "Analyzing the relationships between information technology, inputs substitution and national characteristics based on CES stochastic frontier production models," International Journal of Production Economics, Elsevier, vol. 120(2), pages 552-569, August.
    18. Jianxin Wu & Yanrui Wu & Bing Wang, 2018. "Local Government Debt, Factor Misallocation and Regional Economic Performance in China," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 26(4), pages 82-105, July.
    19. Rajabiun, Reza & Middleton, Catherine A., 2013. "Multilevel governance and broadband infrastructure development: Evidence from Canada," Telecommunications Policy, Elsevier, vol. 37(9), pages 702-714.
    20. Ward, Michael R. & Zheng, Shilin, 2016. "Mobile telecommunications service and economic growth: Evidence from China," Telecommunications Policy, Elsevier, vol. 40(2), pages 89-101.
    21. Sanjeev Dewan & Chung-ki Min, 1997. "The Substitution of Information Technology for Other Factors of Production: A Firm Level Analysis," Management Science, INFORMS, vol. 43(12), pages 1660-1675, December.
    22. Sotiris Papaioannou & Sophia Dimelis, 2007. "Information Technology as a Factor of Economic Development: Evidence from Developed and Developing Countries," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 16(3), pages 179-194.
    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. Yunwei Li & Qiuping Ji & Zijie Wang & Zishan Xiong & Simeng Zhan & Yiping Yang & Yu Hao, 2022. "Green energy mismatch, industrial intelligence and economics growth: theory and empirical evidence from China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(10), pages 11785-11816, October.

    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. Lagomarsino, Elena, 2020. "Estimating elasticities of substitution with nested CES production functions: Where do we stand?," Energy Economics, Elsevier, vol. 88(C).
    2. Paul E. Brockway & Matthew K. Heun & João Santos & John R. Barrett, 2017. "Energy-Extended CES Aggregate Production: Current Aspects of Their Specification and Econometric Estimation," Energies, MDPI, vol. 10(2), pages 1-23, February.
    3. Liu, Yajie & Cui, Lijuan & Xiong, Yanyan & Yao, Xianguo, 2023. "Does the development of the Internet improve the allocative efficiency of production factors? Evidence from surveys of Chinese manufacturing firms," Structural Change and Economic Dynamics, Elsevier, vol. 66(C), pages 161-174.
    4. Awad, Atif & Albaity, Mohamed, 2022. "ICT and economic growth in Sub-Saharan Africa: Transmission channels and effects," Telecommunications Policy, Elsevier, vol. 46(8).
    5. Valeria Costantini & Francesco Crespi & Elena Paglialunga, 2019. "Capital–energy substitutability in manufacturing sectors: methodological and policy implications," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 9(2), pages 157-182, June.
    6. Matthew K. Heun & João Santos & Paul E. Brockway & Randall Pruim & Tiago Domingos & Marco Sakai, 2017. "From Theory to Econometrics to Energy Policy: Cautionary Tales for Policymaking Using Aggregate Production Functions," Energies, MDPI, vol. 10(2), pages 1-44, February.
    7. Feng, Shenghao & Zhang, Keyu, 2018. "Fuel-factor nesting structures in CGE models of China," Energy Economics, Elsevier, vol. 75(C), pages 274-284.
    8. Cao, Jing & Ho, Mun S. & Ma, Rong, 2020. "Analyzing carbon pricing policies using a general equilibrium model with production parameters estimated using firm data," Energy Economics, Elsevier, vol. 92(C).
    9. Prasanna Tambe & Lorin M. Hitt, 2014. "Job Hopping, Information Technology Spillovers, and Productivity Growth," Management Science, INFORMS, vol. 60(2), pages 338-355, February.
    10. Lugovoy, Oleg & Potashnikov, Vladimir, 2013. "Forward-Looking Energy Elasticity Parameters for Nested CES Production Function," Conference papers 332336, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    11. Ajoy Ketan Sarangi & Rudra Prakash Pradhan, 2020. "ICT infrastructure and economic growth: a critical assessment and some policy implications," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 47(4), pages 363-383, December.
    12. Francisco J. Santos-Arteaga & Debora Di Caprio & Madjid Tavana, 2024. "Information and Communication Technologies and Labor Productivity: A Dynamic Slacks-Based Data Envelopment Analysis," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(3), pages 14076-14102, September.
    13. Xiao, De & Yu, Fan & Guo, Chenhao, 2023. "The impact of China's pilot carbon ETS on the labor income share: Based on an empirical method of combining PSM with staggered DID," Energy Economics, Elsevier, vol. 124(C).
    14. Zhu, Xuehong & Zeng, Anqi & Zhong, Meirui & Huang, Jianbai, 2021. "Elasticity of substitution and biased technical change in the CES production function for China's metal-intensive industries," Resources Policy, Elsevier, vol. 73(C).
    15. Bataille, Chris & Melton, Noel, 2017. "Energy efficiency and economic growth: A retrospective CGE analysis for Canada from 2002 to 2012," Energy Economics, Elsevier, vol. 64(C), pages 118-130.
    16. Knoblach, Michael & Rößler, Martin & Zwerschke, Patrick, 2016. "The Elasticity of Factor Substitution Between Capital and Labor in the U.S. Economy: A Meta-Regression Analysis," CEPIE Working Papers 03/16, Technische Universität Dresden, Center of Public and International Economics (CEPIE).
    17. Ronald Ravinesh Kumar & Peter Josef Stauvermann & Nikeel Kumar & Syed Jawad Hussain Shahzad, 2019. "Exploring the effect of ICT and tourism on economic growth: a study of Israel," Economic Change and Restructuring, Springer, vol. 52(3), pages 221-254, August.
    18. Li, Qing & Wu, Yanrui, 2020. "Intangible capital, ICT and sector growth in China," Telecommunications Policy, Elsevier, vol. 44(1).
    19. Michael Knoblach & Fabian Stöckl, 2020. "What Determines The Elasticity Of Substitution Between Capital And Labor? A Literature Review," Journal of Economic Surveys, Wiley Blackwell, vol. 34(4), pages 847-875, September.
    20. Winston T. Lin, 2013. "Assessing the impacts of the integration of the ICT investments of Taiwan and China upon economic growth in Taiwan," Chapters, in: Peter C.Y. Chow (ed.), Economic Integration Across the Taiwan Strait, chapter 3, pages 56-80, Edward Elgar Publishing.

    More about this item

    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:wly:mgtdec:v:41:y:2020:i:3:p:339-353. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www3.interscience.wiley.com/cgi-bin/jhome/7976 .

    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.