IDEAS home Printed from https://ideas.repec.org/a/rbs/ijbrss/v9y2020i6p97-107.html
   My bibliography  Save this article

The macroeconomic determinants of cross-country efficiency in wealth maximization: A joint analysis through the SFA and GMM models

Author

Listed:
  • Md Harun Or Rosid

    (School of Management, Huazhong University of Science and Technology (HUST), Wuhan, PRC)

  • Zhao Xuefeng

    (School of Management, Huazhong University of Science and Technology (HUST), Wuhan, PRC)

  • Sujan Chandra Paul

    (Department of Accounting & Information Systems, University of Barishal, Bangladesh)

  • Md Reza Sultanuzzaman

    (School of Economics and Management, Nanchang University, Nanchang, Jiangxi, China.)

Abstract

In the arena of economic analysis, the wealth of a nation is getting more and more attention to be a better indicator to evaluate the status of an economy. This paper had studied the aggregate household wealth of different nations of the world, 106 countries, for the year 2009-2018. During these years, only two countries of the world, China and the USA have managed to increase their wealth tremendously over the last decade while others experienced a slow pace in the growth of wealth. To satisfy the query of how efficient these countries were in maximizing their wealth, a stochastic frontier approach (SFA) has been used to predict the technical efficiency dependent variable and then generalized methods of moments (GMM) and other models have been used to find out the determinants of this efficiency. The study had come up with the result that land, labor, and capital mainly contributed to the output of wealth maximization while past year level of efficiency, export, and import played the main roles in determining the wealth maximizing efficiency status of a nation. It is found that there is a negative relationship between past-year efficiency with current years and the more a country imports, the less efficient the country is while the more it exports, the more efficient the country is in maximizing wealth. Key Words: Net Wealth, Stochastic Frontier Analysis, Technical Efficiency, Generalized Methods of Moments, Principal Component Analysis

Suggested Citation

  • Md Harun Or Rosid & Zhao Xuefeng & Sujan Chandra Paul & Md Reza Sultanuzzaman, 2020. "The macroeconomic determinants of cross-country efficiency in wealth maximization: A joint analysis through the SFA and GMM models," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 9(6), pages 91-107, October.
    • Handle: RePEc:rbs:ijbrss:v:9:y:2020:i:6:p:97-107
    DOI: 10.20525/ijrbs.v9i6.894
    as

    Download full text from publisher

    File URL: https://www.ssbfnet.com/ojs/index.php/ijrbs/article/view/894/690
    Download Restriction: no
    File URL: https://doi.org/10.20525/ijrbs.v9i6.894
    Download Restriction: no
    File URL: https://libkey.io/10.20525/ijrbs.v9i6.894?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. Zhou, Xianbo & Li, Kui-Wai & Li, Qin, 2011. "An analysis on technical efficiency in post-reform China," China Economic Review, Elsevier, vol. 22(3), pages 357-372, September.
    2. Ahmad Baharumshah & Siew-Voon Soon, 2015. "Demand for broad money in Singapore: does wealth matter?," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 39(3), pages 557-573, July.
    3. Ray,Subhash C., 2012. "Data Envelopment Analysis," Cambridge Books, Cambridge University Press, number 9781107405264.
    4. Ant Afonso & Miguel St. Aubyn, 2013. "Public and private inputs in aggregate production and growth: a cross-country efficiency approach," Applied Economics, Taylor & Francis Journals, vol. 45(32), pages 4487-4502, November.
    5. Ilke Van Beveren, 2012. "Total Factor Productivity Estimation: A Practical Review," Journal of Economic Surveys, Wiley Blackwell, vol. 26(1), pages 98-128, February.
    6. Chen, Tain-jy & Tang, De-piao, 1987. "Comparing technical efficiency between import-substitution-oriented and export-oriented foreign firms in a developing economy," Journal of Development Economics, Elsevier, vol. 26(2), pages 277-289, August.
    7. Edward B. Barbier, 2017. "Natural Capital and Wealth in the 21st Century," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 43(3), pages 391-405, June.
    8. Jeanne, Olivier & Carroll, Christopher, 2009. "A Tractable Model of Precautionary Reserves, Net Foreign Assets, or Sovereign Wealth Funds," CEPR Discussion Papers 7449, C.E.P.R. Discussion Papers.
    9. Michael Bleaney & Katharine Wakelin, 2002. "Efficiency, innovation and exports," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 64(1), pages 3-15, February.
    10. Eva Sierminska & Andrea Brandolini & Timothy Smeeding, 2006. "The Luxembourg Wealth Study – A cross-country comparable database for household wealth research," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 4(3), pages 375-383, December.
    11. Bos, J.W.B. & Economidou, C. & Koetter, M. & Kolari, J.W., 2010. "Do all countries grow alike?," Journal of Development Economics, Elsevier, vol. 91(1), pages 113-127, January.
    12. Chad Syverson, 2011. "What Determines Productivity?," Journal of Economic Literature, American Economic Association, vol. 49(2), pages 326-365, June.
    13. Enrique Alberola & José María Serena, 2008. "Reserves, Sovereign Wealth Funds and the Resilience of Global Imbalances," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 37(3), pages 315-343, November.
    14. Alba, Joseph D. & Wang, Peiming, 2007. "Relative Access to Credit, Relative Wealth and FDI: Firm-Level Evidence from Japanese FDI into the United States," Journal of Economic Integration, Center for Economic Integration, Sejong University, vol. 22, pages 231-255.
    15. Rudan Wang & Bruce Morley & Javier Ordóñez, 2016. "The Taylor Rule, Wealth Effects and the Exchange Rate," Review of International Economics, Wiley Blackwell, vol. 24(2), pages 282-301, May.
    16. Caballero, Ricardo J, 1991. "Earnings Uncertainty and Aggregate Wealth Accumulation," American Economic Review, American Economic Association, vol. 81(4), pages 859-871, September.
    17. Alvin Tan & Graham Voss, 2000. "Consumption and Wealth," RBA Research Discussion Papers rdp2000-09, Reserve Bank of Australia.
    18. Maurizio Franzini & Mario Pianta & James K. Galbraith & Francesco Bogliacino & Virginia Maestri & Michele Raitano & Gerhard Bosch & Thorsten Kalina, 2016. "Wealth and Income Inequality in Europe," Intereconomics: Review of European Economic Policy, Springer;ZBW - Leibniz Information Centre for Economics;Centre for European Policy Studies (CEPS), vol. 51(2), pages 48-48, March.
    19. Peter Mihalyi & Iván Szelényi, 2017. "Wealth and capital: a critique of Piketty’s conceptualisation of return on capital," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 41(4), pages 1237-1247.
    20. Dietrich K. Fausten, 1989. "Current and Capital Account Interdependence," Journal of Post Keynesian Economics, Taylor & Francis Journals, vol. 12(2), pages 273-292, December.
    21. Gardner Ackley, 1951. "The Wealth-Saving Relationship," Journal of Political Economy, University of Chicago Press, vol. 59(2), pages 154-154.
    22. 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.
    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. Md Harun Or Rosid & Zhao Xuefeng & Sk Alamgir Hossain & Mohammad Raihanul Hasan & Md Reza Sultanuzzaman, 2021. "The Impact of GDP on Cross-Country Efficiency in Wealth Maximization: a Joint Analysis Through the Stochastic Frontier and Generalized Method of Moments," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 11(1), pages 1-6.
    2. Catarina Moura e Sa Cardoso & Geetha Ravishankar, 2015. "Productivity growth and convergence: a stochastic frontier analysis," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 42(2), pages 224-236, May.
    3. Castelnovo, Paolo & Del Bo, Chiara F. & Florio, Massimo, 2019. "Quality of institutions and productivity of State-Invested Enterprises: International evidence from major telecom companies," European Journal of Political Economy, Elsevier, vol. 58(C), pages 102-117.
    4. Marijn Verschelde & Michel Dumont & Glenn Rayp & Bruno Merlevede, 2016. "Semiparametric stochastic metafrontier efficiency of European manufacturing firms," Journal of Productivity Analysis, Springer, vol. 45(1), pages 53-69, February.
    5. Subhash C. Ray, 2004. "A Simple Statistical Test of Violation of the Weak Axiom of Cost Minimization," Indian Economic Review, Department of Economics, Delhi School of Economics, vol. 39(1), pages 111-121, January.
    6. António Afonso & Ana Patricia Montes & José M. Domínguez, 2024. "Measuring Tax Burden Efficiency in OECD Countries: An International Comparison," CESifo Working Paper Series 11333, CESifo.
    7. V. Vandenberghe, 2018. "The Contribution of Educated Workers to Firms’ Efficiency Gains: The Key Role of Proximity to the ‘Local’ Frontier," De Economist, Springer, vol. 166(3), pages 259-283, September.
    8. Klaus Friesenbichler & Agnes Kügler, 2017. "Statistical Benchmarking as a Development Tool. An Introduction for Practitioners," WIFO Studies, WIFO, number 59303.
    9. Sabrina Auci & Laura Castellucci & Manuela Coromaldi, 2021. "How does public spending affect technical efficiency? Some evidence from 15 European countries," Bulletin of Economic Research, Wiley Blackwell, vol. 73(1), pages 108-130, January.
    10. Mertens, Matthias & Mueller, Steffen, 2022. "The East-West German gap in revenue productivity:Just a tale of output prices?," Journal of Comparative Economics, Elsevier, vol. 50(3), pages 815-831.
    11. Pardesi, Mantej, 2024. "Productivity convergence and firm’s training strategy," ROA Research Memorandum 003, Maastricht University, Research Centre for Education and the Labour Market (ROA).
    12. Abele, Christian & Bénassy-Quéré, Agnès & Fontagné, Lionel, 2024. "The impact of financial tightening on firm productivity: Maturity matters," Journal of International Money and Finance, Elsevier, vol. 144(C).
    13. Niquidet, Kurt & Nelson, Harry, 2010. "Sawmill production in the interior of British Columbia: A stochastic ray frontier approach," Journal of Forest Economics, Elsevier, vol. 16(4), pages 257-267, December.
    14. Holl, Adelheid, 2016. "Highways and productivity in manufacturing firms," Journal of Urban Economics, Elsevier, vol. 93(C), pages 131-151.
    15. Paitoon Wiboonchutikula & Chayanon Phucharoen & Nuchit Pruektanakul, 2016. "Spillover Effects Of Foreign Direct Investment On Domestic Manufacturing Firms In Thailand," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 61(02), pages 1-32, June.
    16. Jieun Chang & Youngho Kang, 2019. "Instrumental Variable Estimates of the Effect of Management Practices on Firm Performance in Korean Firms," Journal of Labor Research, Springer, vol. 40(1), pages 106-125, March.
    17. Nguyen, Hang T. T., 2024. "Corporate taxation and total factor productivity: Evidence on a non-linear relationship," arqus Discussion Papers in Quantitative Tax Research 284, arqus - Arbeitskreis Quantitative Steuerlehre.
    18. Marco Bee & Julien Hambuckers, 2020. "Modeling multivariate operational losses via copula-based distributions with g-and-h marginals," DEM Working Papers 2020/3, Department of Economics and Management.
    19. Stefan Seifert, 2016. "Semi-Parametric Measures of Scale Characteristics of German Natural Gas-Fired Electricity Generation," Discussion Papers of DIW Berlin 1571, DIW Berlin, German Institute for Economic Research.
    20. Gustavo Canavire-Bacarreza & Luis Castro Peñarrieta, 2021. "Can licensing induce productivity? Exploring the IPR effect," Empirical Economics, Springer, vol. 61(2), pages 549-586, August.

    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:rbs:ijbrss:v:9:y:2020:i:6:p:97-107. 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: Umit Hacioglu (email available below). General contact details of provider: https://edirc.repec.org/data/ssbffea.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.