IDEAS home Printed from https://ideas.repec.org/a/rej/journl/v17y2014i52p45-62.html
   My bibliography  Save this article

Is Solow’s Paradox Absent in World Leading Capital Markets? Econometric Evidence

Author

Listed:
  • Bilal Mehmood
  • Anam Shafique
  • Rabia Rafaqat

Abstract

Information technology has transformed the traditional economy into digital economy during this century. Yet there has been debate of Solow’s Paradox in theoretical and empirical literature. Considering its importance, this research examines its impact on Capital Market Activity by using 47 countries of world’s leading capital markets. Market capitalization of listed companies (% of GDP) and Stock traded turnover ratio (%) have been considered as proxies for capital market activity while Information and Communication Technology expenditure is used as development indicators for ICT. Recently development Pooled Mean Group (PMG) approach to cointegration is employed on data of 47 countries capital markets for time span 1990-2012. PMG being a heterogeneous panel estimation technique allows the slope and short run parameters to vary across the countries. Results show the presence of long run relationship between ICT development and capital market activity. Recommendations are made on the basis of empirical findings.

Suggested Citation

  • Bilal Mehmood & Anam Shafique & Rabia Rafaqat, 2014. "Is Solow’s Paradox Absent in World Leading Capital Markets? Econometric Evidence," Romanian Economic Journal, Department of International Business and Economics from the Academy of Economic Studies Bucharest, vol. 17(52), pages 45-62, June.
  • Handle: RePEc:rej:journl:v:17:y:2014:i:52:p:45-62
    as

    Download full text from publisher

    File URL: http://www.rejournal.eu/sites/rejournal.versatech.ro/files/articole/2014-10-14/2980/3mehmood.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Stephen W. Pruitt & David R. Peterson, 1986. "Security Price Reactions Around Product Recall Announcements," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 9(2), pages 113-122, June.
    2. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    3. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    4. Maddala, G S & Wu, Shaowen, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 631-652, Special I.
    5. Pesaran, M. H. & Shin, Y. & Smith, R. P., 1997. "Pooled Estimation of Long-run Relationships in Dynamic Heterogeneous Panels," Cambridge Working Papers in Economics 9721, Faculty of Economics, University of Cambridge.
    6. Singh, Ajit & Singh, Alaka & Wiesse, Bruce, 2000. "Information technology, venture capital and the stock market," MPRA Paper 53718, University Library of Munich, Germany.
    7. Pesaran, M. Hashem & Smith, Ron, 1995. "Estimating long-run relationships from dynamic heterogeneous panels," Journal of Econometrics, Elsevier, vol. 68(1), pages 79-113, July.
    8. Markus Eberhardt, 2011. "Panel time-series modeling: New tools for analyzing xt data," United Kingdom Stata Users' Group Meetings 2011 22, Stata Users Group.
    9. Brown, Stephen J. & Warner, Jerold B., 1985. "Using daily stock returns : The case of event studies," Journal of Financial Economics, Elsevier, vol. 14(1), pages 3-31, March.
    10. Bilal Mehmood & Wasif Siddiqui, 2013. "What Causes What? Panel Cointegration Approach on Investment in Telecommunication and Economic Growth: Case of Asian Countries," Romanian Economic Journal, Department of International Business and Economics from the Academy of Economic Studies Bucharest, vol. 16(47), pages 3-16, March.
    11. G. S. Maddala & Shaowen Wu, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 631-652, November.
    12. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
    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. Bilal Mehmood & Syed Hassan Raza & Rizwan Baqar, 2015. "Defence, Debt and Democracy: The 3D in South Asia," International Journal of Economics and Empirical Research (IJEER), The Economics and Social Development Organization (TESDO), vol. 3(7), pages 312-319, July.
    2. Farwa Amjad & Bilal Mehmood, 2016. "Dynamics of FDI, Technological Transformation and Environmental Degradation in Developing Countries: A Panel Analysis," Romanian Economic Journal, Department of International Business and Economics from the Academy of Economic Studies Bucharest, vol. 18(59), pages 3-24, March.

    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. Bilal Mehmood & Syed Hassan Raza & Mahwish Rana & Huma Sohaib & Muhammad Azhar Khan, 2014. "Triangular Relationship between Energy Consumption, Price Index and National Income in Asian Countries: A Pooled Mean Group Approach in Presence of Structural Breaks," International Journal of Energy Economics and Policy, Econjournals, vol. 4(4), pages 610-620.
    2. Armenia Androniceanu & Irina Georgescu, 2023. "The Impact of CO 2 Emissions and Energy Consumption on Economic Growth: A Panel Data Analysis," Energies, MDPI, vol. 16(3), pages 1-17, January.
    3. Salisu, Afees A. & Ndako, Umar B., 2018. "Modelling stock price–exchange rate nexus in OECD countries: A new perspective," Economic Modelling, Elsevier, vol. 74(C), pages 105-123.
    4. Lin, Boqiang & Omoju, Oluwasola E., 2017. "Focusing on the right targets: Economic factors driving non-hydro renewable energy transition," Renewable Energy, Elsevier, vol. 113(C), pages 52-63.
    5. Helmut Herwartz & Jordi Sardà & Bernd Theilen, 2016. "Money demand and the shadow economy: empirical evidence from OECD countries," Empirical Economics, Springer, vol. 50(4), pages 1627-1645, June.
    6. Bilal MEHMOOD & Muhammad ALEEM & Nabeel SHAHZAD, 2015. "AIR-TRANSPORT AND MACROECONOMIC PERFORMANCE IN ASIAN COUNTRIES: An Analysis," Pakistan Journal of Applied Economics, Applied Economics Research Centre, vol. 25(2), pages 179-192.
    7. Cem Ertur & Antonio Musolesi, 2017. "Weak and Strong Cross‐Sectional Dependence: A Panel Data Analysis of International Technology Diffusion," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(3), pages 477-503, April.
    8. Nusair, Salah A., 2019. "Oil price and inflation dynamics in the Gulf Cooperation Council countries," Energy, Elsevier, vol. 181(C), pages 997-1011.
    9. Usman, Muhammad & Makhdum, Muhammad Sohail Amjad, 2021. "What abates ecological footprint in BRICS-T region? Exploring the influence of renewable energy, non-renewable energy, agriculture, forest area and financial development," Renewable Energy, Elsevier, vol. 179(C), pages 12-28.
    10. Gautam, Tej K. & Paudel, Krishna P., 2018. "The demand for natural gas in the Northeastern United States," Energy, Elsevier, vol. 158(C), pages 890-898.
    11. Koedijk, Kees G. & Tims, Ben & van Dijk, Mathijs A., 2011. "Why panel tests of purchasing power parity should allow for heterogeneous mean reversion," Journal of International Money and Finance, Elsevier, vol. 30(1), pages 246-267, February.
    12. Chakraborty, Saptorshee Kanto & Mazzanti, Massimiliano, 2021. "Renewable electricity and economic growth relationship in the long run: Panel data econometric evidence from the OECD," Structural Change and Economic Dynamics, Elsevier, vol. 59(C), pages 330-341.
    13. Eleftherios Thalassinos & Marta Kadłubek & Le Minh Thong & Tran Van Hiep & Erginbay Ugurlu, 2022. "Managerial Issues Regarding the Role of Natural Gas in the Transition of Energy and the Impact of Natural Gas Consumption on the GDP of Selected Countries," Resources, MDPI, vol. 11(5), pages 1-22, April.
    14. Thian-Hee Yiew & Chin-Yu Lee & Lin-Sea Lau, 2021. "Economic growth in selected G20 countries: How do different pollution emissions matter?," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(8), pages 11451-11474, August.
    15. Pao, Hsiao-Tien & Tsai, Chung-Ming, 2011. "Multivariate Granger causality between CO2 emissions, energy consumption, FDI (foreign direct investment) and GDP (gross domestic product): Evidence from a panel of BRIC (Brazil, Russian Federation, I," Energy, Elsevier, vol. 36(1), pages 685-693.
    16. Guneratne B Wickremasinghe & Jae H Kim, 2008. "Weak-Form Efficiency of Foreign Exchange Markets of Developing Economies," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 7(2), pages 169-196, August.
    17. Luisito Bertinelli & Olivier Cardi & Romain Restout, 2015. "Technical Change Biased Toward the Traded Sector and Labor Market Frictions," Working Papers halshs-01252508, HAL.
    18. Ibrahiem, Dalia M. & Hanafy, Shaimaa A., 2021. "Do energy security and environmental quality contribute to renewable energy? The role of trade openness and energy use in North African countries," Renewable Energy, Elsevier, vol. 179(C), pages 667-678.
    19. Djaballah Mustapha, 2020. "The Relationship Between the Financial Innovation and the Money Supply: Empirical Study on the Maghreb Countries," Economics and Business, Sciendo, vol. 34(1), pages 168-178, February.
    20. Valérie Mignon & Christophe Hurlin, 2005. "Une synthèse des tests de racine unitaire sur données de panel," Économie et Prévision, Programme National Persée, vol. 169(3), pages 253-294.

    More about this item

    Keywords

    Solow’s Paradox; ICT expenditure; Market capitalization of listed companies; Stock traded turnover ratio; Mean Group;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

    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:rej:journl:v:17:y:2014:i:52:p:45-62. 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: Radu Lupu (email available below). General contact details of provider: https://edirc.repec.org/data/frasero.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.