[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/p/tas/wpaper/23733.html
   My bibliography  Save this paper

R&D and wholesale trade are critical to the economy: Identifying dominant sectors from economic networks

Author

Abstract
Using a network approach we empirically identify the most critical sectors for 49 different economies. Wholesale trade is dominant for over half the countries, but increasingly R&D activities are taking on an equivalent importance. Recognizing R&D as a critical sector as countries develop urges caution against disinvesting in this sector.

Suggested Citation

  • Dungey, Mardi & Volkov, Vladimir, 2017. "R&D and wholesale trade are critical to the economy: Identifying dominant sectors from economic networks," Working Papers 2017-12, University of Tasmania, Tasmanian School of Business and Economics.
    • Handle: RePEc:tas:wpaper:23733
    as

    Download full text from publisher

    File URL: http://eprints.utas.edu.au/23733/1/2017_12_Dungey_Volkov.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Andrew T. Foerster & Pierre-Daniel G. Sarte & Mark W. Watson, 2011. "Sectoral versus Aggregate Shocks: A Structural Factor Analysis of Industrial Production," Journal of Political Economy, University of Chicago Press, vol. 119(1), pages 1-38.
    2. Diebold, Francis X. & Yılmaz, Kamil, 2014. "On the network topology of variance decompositions: Measuring the connectedness of financial firms," Journal of Econometrics, Elsevier, vol. 182(1), pages 119-134.
    3. Coe, David T. & Helpman, Elhanan, 1995. "International R&D spillovers," European Economic Review, Elsevier, vol. 39(5), pages 859-887, May.
    4. Fadinger, Harald & Ghiglino, Christian & Teteryatnikova, Mariya, 2015. "Income differences and input-output structure," Working Papers 15-11, University of Mannheim, Department of Economics.
    5. William D. Nordhaus, 2002. "Productivity Growth and the New Economy," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 33(2), pages 211-265.
    6. Pesaran, M. Hashem & Yang, Cynthia Fan, 2020. "Econometric analysis of production networks with dominant units," Journal of Econometrics, Elsevier, vol. 219(2), pages 507-541.
    7. Xavier Gabaix, 2011. "The Granular Origins of Aggregate Fluctuations," Econometrica, Econometric Society, vol. 79(3), pages 733-772, May.
    8. Andres Rodriguez-Pose & Riccardo regstdcenzi, 2008. "Research and Development, Spillovers, Innovation Systems, and the Genesis of Regional Growth in Europe," Regional Studies, Taylor & Francis Journals, vol. 42(1), pages 51-67.
    9. Daron Acemoglu & Vasco M. Carvalho & Asuman Ozdaglar & Alireza Tahbaz‐Salehi, 2012. "The Network Origins of Aggregate Fluctuations," Econometrica, Econometric Society, vol. 80(5), pages 1977-2016, September.
    10. Ando, Sakai, 2014. "Measuring US sectoral shocks in the world input–output network," Economics Letters, Elsevier, vol. 125(2), pages 204-207.
    11. Perez-Sebastian, Fidel, 2015. "Market failure, government inefficiency, and optimal R&D policy," Economics Letters, Elsevier, vol. 128(C), pages 43-47.
    12. Marrocu, Emanuela & Paci, Raffaele & Usai, Stefano, 2013. "Proximity, networking and knowledge production in Europe: What lessons for innovation policy?," Technological Forecasting and Social Change, Elsevier, vol. 80(8), pages 1484-1498.
    13. Dominick Bartelme & Yuriy Gorodnichenko, 2015. "Linkages and Economic Development," NBER Working Papers 21251, National Bureau of Economic Research, Inc.
    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. Pesaran, M. Hashem & Yang, Cynthia Fan, 2020. "Econometric analysis of production networks with dominant units," Journal of Econometrics, Elsevier, vol. 219(2), pages 507-541.
    2. Hamill, Philip A. & Hutchinson, Mark & Nguyen, Quang Minh Nhi & Mulcahy, Mark, 2018. "FDA approval announcements: Attention-grabbing or event-day misspecification?," Economics Letters, Elsevier, vol. 170(C), pages 171-174.
    3. Pesaran, M. Hashem & Yang, Cynthia Fan, 2021. "Estimation and inference in spatial models with dominant units," Journal of Econometrics, Elsevier, vol. 221(2), pages 591-615.
    4. George Kapetanios & M. Hashem Pesaran & Simon Reese, 2018. "A Residual-based Threshold Method for Detection of Units that are Too Big to Fail in Large Factor Models," CESifo Working Paper Series 7401, CESifo.
    5. Jorge Miranda Pinto, 2021. "Production Network Structure, Service Share, and Aggregate Volatility," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 39, pages 146-173, January.

    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. Brownlees, Christian & Mesters, Geert, 2021. "Detecting granular time series in large panels," Journal of Econometrics, Elsevier, vol. 220(2), pages 544-561.
    2. Dong, Feng & Wen, Yi, 2019. "Long and Plosser meet Bewley and Lucas," Journal of Monetary Economics, Elsevier, vol. 102(C), pages 70-92.
    3. Jorge Miranda Pinto, 2021. "Production Network Structure, Service Share, and Aggregate Volatility," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 39, pages 146-173, January.
    4. Erik Frohm & Vanessa Gunnella, 2021. "Spillovers in global production networks," Review of International Economics, Wiley Blackwell, vol. 29(3), pages 663-680, August.
    5. David Rezza Baqaee & Emmanuel Farhi, 2019. "The Macroeconomic Impact of Microeconomic Shocks: Beyond Hulten's Theorem," Econometrica, Econometric Society, vol. 87(4), pages 1155-1203, July.
    6. Pablo D. Azar, 2021. "Moore’s Law and Economic Growth," Staff Reports 970, Federal Reserve Bank of New York.
    7. Daron Acemoglu & Pablo D. Azar, 2020. "Endogenous Production Networks," Econometrica, Econometric Society, vol. 88(1), pages 33-82, January.
    8. Tian, Can, 2021. "Input-output linkages in Pigouvian industrial fluctuations," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 1078-1095.
    9. Imbs, Jean & Pauwels, Laurent, 2019. "Fundamental Moments," CEPR Discussion Papers 13662, C.E.P.R. Discussion Papers.
    10. Frohm, Erik & Gunnella, Vanessa, 2017. "Sectoral interlinkages in global value chains: spillovers and network effects," Working Paper Series 2064, European Central Bank.
    11. Paflioti, Persa & Vitsounis, Thomas K. & Teye, Collins & Bell, Michael G.H. & Tsamourgelis, Ioannis, 2017. "Box dynamics: A sectoral approach to analyse containerized port throughput interdependencies," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 396-413.
    12. Pedro P Romero & Ricardo López & Carlos Jiménez, 2018. "Sectoral networks and macroeconomic tail risks in an emerging economy," PLOS ONE, Public Library of Science, vol. 13(1), pages 1-17, January.
    13. Everett Grant & Julieta Yung, 2019. "Upstream, Downstream & Common Firm Shocks," Globalization Institute Working Papers 360, Federal Reserve Bank of Dallas.
    14. Everett Grant & Julieta Yung, 2021. "The double‐edged sword of global integration: Robustness, fragility, and contagion in the international firm network," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(6), pages 760-783, September.
    15. Baruník, Jozef & Bevilacqua, Mattia & Faff, Robert, 2024. "Dynamic industry uncertainty networks and the business cycle," Journal of Economic Dynamics and Control, Elsevier, vol. 159(C).
    16. Eva F. Janssens & Robin L. Lumsdaine, 2024. "Sectoral slowdowns in the United Kingdom: Evidence from transmission probabilities and economic linkages," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(1), pages 22-40, January.
    17. Dongyeol Lee, 2019. "Transmission of Domestic and External Shocks through Input-Output Network: Evidence from Korean Industries," IMF Working Papers 2019/117, International Monetary Fund.
    18. Lo Turco, Alessia & Maggioni, Daniela & Zazzaro, Alberto, 2019. "Financial dependence and growth: The role of input-output linkages," Journal of Economic Behavior & Organization, Elsevier, vol. 162(C), pages 308-328.
    19. Molnárová, Zuzana & Reiter, Michael, 2022. "Technology, demand, and productivity: What an industry model tells us about business cycles," Journal of Economic Dynamics and Control, Elsevier, vol. 134(C).
    20. Altinoglu, Levent, 2021. "The origins of aggregate fluctuations in a credit network economy," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 316-334.

    More about this item

    Keywords

    Networks; input-output tables; sectors; research and development;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:tas:wpaper:23733. 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: Oscar Pavlov (email available below). General contact details of provider: https://edirc.repec.org/data/dutasau.html .

    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.