IDEAS home Printed from https://ideas.repec.org/a/mgt/youmgt/v19y2021i1p27-48.html
   My bibliography  Save this article

Regional Business Confidence as Early Indicator of Regional Economic Growth

Author

Listed:
  • Ewert Kleynhans

    (North-West University, South Africa)

  • Clive Coetzee

    (North-West University, South Africa)

Abstract

Official sub-national GDP figures in South Africa are usually published with long delays or not at all, i.e. relevant, reliable, and real-time economic data on a provincial and local (municipal) level are often non-existent, causing a significant data asymmetry at the sub-national level. The search for an ‘optimal’ sub-national proxy for regional economic growth focuses on the possible use of regional business confidence. This article, therefore, investigates the use of regional business confidence indices (RBCI) as an early indicator or proxy of the regional economic growth rate (RGDP). To this end, the study employed panel cointegration methodology and techniques to interrogate the possible association between regional business confidence and regional economic growth, focusing on three specific regions of KwaZulu-Natal, South Africa. The results suggest that the utilisation of regional business confidence indicators indeed has merit. Constraints experienced in the study indicate the direction that further studies may follow, especially concerning the scope of the period and cross-sections. The research, therefore, addresses a fundamental gap in the data asymmetry in South Africa, while also setting a benchmark for other researchers to follow.

Suggested Citation

  • Ewert Kleynhans & Clive Coetzee, 2021. "Regional Business Confidence as Early Indicator of Regional Economic Growth," Managing Global Transitions, University of Primorska, Faculty of Management Koper, vol. 19(1 (Spring), pages 27-48.
  • Handle: RePEc:mgt:youmgt:v:19:y:2021:i:1:p:27-48
    DOI: 10.26493/1854-6935.19.27-48
    as

    Download full text from publisher

    File URL: https://www.hippocampus.si/ISSN/1854-6935/19.27-48.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.26493/1854-6935.19.27-48?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. Pesaran, M.H. & Shin, Y., 1995. "An Autoregressive Distributed Lag Modelling Approach to Cointegration Analysis," Cambridge Working Papers in Economics 9514, Faculty of Economics, University of Cambridge.
    2. L. H. Binge, 2020. "Business Confidence and the Business Cycle in South Africa," Advances in African Economic, Social and Political Development, in: Willem H. Boshoff (ed.), Business Cycles and Structural Change in South Africa, pages 237-263, Springer.
    3. 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.
    4. André Binette & Jae Chang, 2013. "CSI: A Model for Tracking Short-Term Growth in Canadian Real GDP," Bank of Canada Review, Bank of Canada, vol. 2013(Summer), pages 3-12.
    5. Wim Naudé & Mark McGillivray & Stephanie Rossouw, 2008. "Measuring the Vulnerability of Subnational Regions," WIDER Working Paper Series RP2008-54, World Institute for Development Economic Research (UNU-WIDER).
    6. Ghouse, Ghulam & Khan, Saud Ahmed & Rehman, Atiq Ur, 2018. "ARDL model as a remedy for spurious regression: problems, performance and prospectus," MPRA Paper 83973, University Library of Munich, Germany.
    7. Willem H. Boshoff (ed.), 2020. "Business Cycles and Structural Change in South Africa," Advances in African Economic, Social and Political Development, Springer, number 978-3-030-35754-2.
    8. Khaysy Srithilat & Gang Sun & Thongphet Chanthanivong & Maketta Thavisay, 2018. "The Relationship between Inflation, Exchange Rate, and Currency Substitution: Evidence from Panel Vector Error Correction Model Approach," International Journal of Economics and Financial Issues, Econjournals, vol. 8(2), pages 79-84.
    9. Teresa Santero & Niels Westerlund, 1996. "Confidence Indicators and Their Relationship to Changes in Economic Activity," OECD Economics Department Working Papers 170, OECD Publishing.
    10. Dervis Kirikkaleli, 2016. "Interlinkage Between Economic, Financial, and Political Risks in the Balkan Countries: Evidence from a Panel Cointegration," Eastern European Economics, Taylor & Francis Journals, vol. 54(3), pages 208-227, May.
    11. Konstantins Benkovskis, 2008. "Short-Term Forecasts of Latvia's Real Gross Domestic Product Growth Using Monthly Indicators," Working Papers 2008/05, Latvijas Banka.
    12. Easaw, Joshy Z. & Heravi, Saeed M., 2004. "Evaluating consumer sentiments as predictors of UK household consumption behavior: Are they accurate and useful?," International Journal of Forecasting, Elsevier, vol. 20(4), pages 671-681.
    13. Dimitrios Asteriou & Keith Pilbeam & Cecilia Eny Pratiwi, 2021. "Public debt and economic growth: panel data evidence for Asian countries," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 45(2), pages 270-287, April.
    14. Kirikkaleli, Dervis & Sokri, Abderrahmane & Candemir, Mehmet & Ertugrul, Hasan Murat, 2017. "Panel cointegration: Long-run relationship between internet, electricity consumption and economic growth. Evidence from OECD countries," MPRA Paper 114709, University Library of Munich, Germany.
    15. Nelson C. Mark & Donggyu Sul, 2003. "Cointegration Vector Estimation by Panel DOLS and Long‐run Money Demand," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 65(5), pages 655-680, December.
    16. Andy C.C. Kwan & John A. Cotsomitis, 2006. "The Usefulness of Consumer Confidence in Forecasting Household Spending in Canada: A National and Regional Analysis," Economic Inquiry, Western Economic Association International, vol. 44(1), pages 185-197, January.
    17. Chow, Gregory C & Lin, An-loh, 1971. "Best Linear Unbiased Interpolation, Distribution, and Extrapolation of Time Series by Related Series," The Review of Economics and Statistics, MIT Press, vol. 53(4), pages 372-375, November.
    18. Annabelle Mourougane & Moreno Roma, 2003. "Can confidence indicators be useful to predict short term real GDP growth?," Applied Economics Letters, Taylor & Francis Journals, vol. 10(8), pages 519-522.
    19. James Mitchell & Richard J. Smith & Martin R. Weale & Stephen Wright & Eduardo L. Salazar, 2005. "An Indicator of Monthly GDP and an Early Estimate of Quarterly GDP Growth," Economic Journal, Royal Economic Society, vol. 115(501), pages 108-129, February.
    20. Pedroni, Peter, 1999. "Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 653-670, Special I.
    21. Wojciech W. Charemza & Derek F. Deadman, 1997. "New Directions In Econometric Practice, Second Edition," Books, Edward Elgar Publishing, number 1139.
    Full references (including those not matched with items on IDEAS)

    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 Iqbal & Xuan Tang & Samma Faiz Rasool, 2023. "Investigating the nexus between CO2 emissions, renewable energy consumption, FDI, exports and economic growth: evidence from BRICS countries," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(3), pages 2234-2263, March.
    2. Škare, Marinko & Porada-Rochoń, Małgorzata, 2023. "Are we making progress on decarbonization? A panel heterogeneous study of the long-run relationship in selected economies," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    3. Muñoz, Sònia, 2004. "Real effects of regional house prices: dynamic panel estimation with heterogeneity," LSE Research Online Documents on Economics 24704, London School of Economics and Political Science, LSE Library.
    4. Dávila-Fernández, Marwil J. & Sordi, Serena, 2019. "Path dependence, distributive cycles and export capacity in a BoPC growth model," Structural Change and Economic Dynamics, Elsevier, vol. 50(C), pages 258-272.
    5. Herzer, Dierk & Nunnenkamp, Peter, 2015. "Income inequality and health: Evidence from developed and developing countries," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 9, pages 1-56.
    6. Kirikkaleli, Dervis & Sokri, Abderrahmane & Candemir, Mehmet & Ertugrul, Hasan Murat, 2017. "Panel cointegration: Long-run relationship between internet, electricity consumption and economic growth. Evidence from OECD countries," MPRA Paper 114709, University Library of Munich, Germany.
    7. Euler Pereira G. de Mello & Francisco Marcos R. Figueiredo, 2014. "Assessing the Short-term Forecasting Power of Confidence Indices," Working Papers Series 371, Central Bank of Brazil, Research Department.
    8. Luisito Bertinelli & Olivier Cardi & Romain Restout, 2015. "Technical Change Biased Toward the Traded Sector and Labor Market Frictions," Working Papers halshs-01252508, HAL.
    9. Acikgoz, Senay & Ben Ali, Mohamed Sami, 2019. "Where does economic growth in the Middle Eastern and North African countries come from?," The Quarterly Review of Economics and Finance, Elsevier, vol. 73(C), pages 172-183.
    10. Breitung, Jörg & Pesaran, Mohammad Hashem, 2005. "Unit roots and cointegration in panels," Discussion Paper Series 1: Economic Studies 2005,42, Deutsche Bundesbank.
    11. Katrin Assenmacher & Stefan Gerlach, 2008. "Financial Structure and the Impact of Monetary Policy on Asset Prices," Working Papers 2008-16, Swiss National Bank.
    12. In Choi, 2013. "Panel Cointegration," Working Papers 1208, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    13. Le, Thai-Ha & Bui, Manh-Tien & Uddin, Gazi Salah, 2022. "Economic and social impacts of conflict: A cross-country analysis," Economic Modelling, Elsevier, vol. 115(C).
    14. Assenmacher-Wesche, Katrin & Gerlach, Stefan, 2008. "Ensuring financial stability: Financial structure and the impact of monetary policy on asset prices," IMFS Working Paper Series 16, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    15. BERTINELLI, Luisito & CARDI, Olivier & RESTOUT, Romain, 2020. "Relative Productivity And Search Unemployment In An Open Economy," Journal of Economic Dynamics and Control, Elsevier, vol. 117(C).
    16. Steve Bond & Asli Leblebicioglu & Fabio Schiantarelli, 2010. "Capital accumulation and growth: a new look at the empirical evidence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(7), pages 1073-1099, November/.
    17. Manuel David Cruz, 2022. "Labor productivity, real wages, and employment: evidence from a panel of OECD economies over 1960-2019," Working Papers PKWP2203, Post Keynesian Economics Society (PKES).
    18. Cardi, Olivier & Restout, Romain, 2015. "Imperfect mobility of labor across sectors: a reappraisal of the Balassa–Samuelson effect," Journal of International Economics, Elsevier, vol. 97(2), pages 249-265.
    19. Ramalho, Esmeralda A. & Caleiro, António & Dionfsio, Andreia, 2011. "Explaining consumer confidence in Portugal," Journal of Economic Psychology, Elsevier, vol. 32(1), pages 25-32, February.
    20. Blaise Gnimassoun & Valérie Mignon, 2015. "Persistence of Current-account Disequilibria and Real Exchange-rate Misalignments," Review of International Economics, Wiley Blackwell, vol. 23(1), pages 137-159, February.

    More about this item

    Keywords

    business confidence; gross regional product; economic growth; panel data econometrics; fixed effects; random effects; GDP; BCI;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E01 - Macroeconomics and Monetary Economics - - General - - - Measurement and Data on National Income and Product Accounts and Wealth; Environmental Accounts
    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications
    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development

    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:mgt:youmgt:v:19:y:2021:i:1:p:27-48. 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: Alen Jezovnik (email available below). General contact details of provider: https://edirc.repec.org/data/fmkupsi.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.