IDEAS home Printed from https://ideas.repec.org/a/aif/journl/v6y2022i1p30-42.html
   My bibliography  Save this article

The Empirical Study of Quality Effect on Business Performance Based on the Manufacturing Enterprises in the Yangtze River Delta Region of China

Author

Listed:
  • Lu Binghuan

    (Asia Metropolitan University)

Abstract

The improvement of China’s overall quality level lags behind the growth of the economic scale. In production and use, resources and energy consumption is large, environmental pollution is severe, and quality and safety accidents occur from time to time. The deep-seated contradictions restricting quality innovation and development still exist. Therefore, to promote the transformation and upgrading of China’s industrial structure, Chinese President Xi Jinping put forward the requirements of “three transformations†. To promote the transformation of Chinese manufacturing to Chinese creation, China’s speed to Chinese quality and the transformation of Chinese products to Chinese brands have pointed out the direction for the high-quality development of China’s manufacturing industry. Based on the manufacturing enterprises in China’s Yangtze River Delta, this study analyzes the current situation and level of quality management of Chinese manufacturing enterprises by paying attention to the fundamental problem of the relationship between quality management practice and business performance. By studying the impact mechanism of product quality management and manufacturing efficiency management on business performance of the manufacturing industry, this study explores the critical elements of quality management affecting Chinese manufacturing enterprises to establish a quality management model suitable for Chinese manufacturing enterprises to promote business performance improving quality management. This research demonstrates the influence of product quality management, manufacturing efficiency management and quality effect on business performance of manufacturing enterprises in China’s Yangtze River Delta, which provides theoretical support for exploring quality management, efficiency management, performance improvement and maintaining market competitiveness.

Suggested Citation

  • Lu Binghuan, 2022. "The Empirical Study of Quality Effect on Business Performance Based on the Manufacturing Enterprises in the Yangtze River Delta Region of China," International Journal of Science and Business, IJSAB International, vol. 6(1), pages 30-42.
  • Handle: RePEc:aif:journl:v:6:y:2022:i:1:p:30-42
    as

    Download full text from publisher

    File URL: https://ijsab.com/wp-content/uploads/863.pdf
    Download Restriction: no

    File URL: https://ijsab.com/volume-6-issue-1/4630
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Fiorella Pia Salvatore & Simone Fanelli, 2021. "Indicators and criteria for efficiency and quality in public hospitals: a performance evaluation model," Global Business and Economics Review, Inderscience Enterprises Ltd, vol. 25(3/4), pages 212-230.
    2. Gartner, Hermann & Rothe, Thomas & Weber, Enzo, 2019. "The Quality-Weighted Matching Function: Did the German Labour Market Reforms Trade off Efficiency against Job Quality?," IAB-Discussion Paper 201924, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    3. Kraay, Aart & Soloaga, Isidro & Tybout, James, 2002. "Product quality, productive efficiency, and international technology diffusion : evidence from plant-level panel data," Policy Research Working Paper Series 2759, The World Bank.
    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. Alessandra Tucci, 2005. "Trade, Foreign Networks and Performance: a Firm-Level Analysis for India," Development Working Papers 199, Centro Studi Luca d'Agliano, University of Milano.
    2. Wolfgang Keller & Stephen R. Yeaple, 2009. "Multinational Enterprises, International Trade, and Productivity Growth: Firm-Level Evidence from the United States," The Review of Economics and Statistics, MIT Press, vol. 91(4), pages 821-831, November.
    3. Fernandes, Ana M., 2007. "Trade policy, trade volumes and plant-level productivity in Colombian manufacturing industries," Journal of International Economics, Elsevier, vol. 71(1), pages 52-71, March.
    4. Judit Rariga, 2017. "Service Traders in Hungary Evidence from Firm Level Data," MNB Occasional Papers 2017/130, Magyar Nemzeti Bank (Central Bank of Hungary).
    5. Damijan, Jože P. & Kostevc, Crt, 2007. "Knowledge Transfer, Innovation and Growth," Papers DYNREG06, Economic and Social Research Institute (ESRI).
    6. Gong, Guan & Keller, Wolfgang, 2003. "Convergence and polarization in global income levels: a review of recent results on the role of international technology diffusion," Research Policy, Elsevier, vol. 32(6), pages 1055-1079, June.
    7. Jože P. Damijan & Andreja Jaklič & Matija Rojec, 2006. "Do External Knowledge Spillovers Induce Firms’ Innovations? Evidence from Slovenia," Palgrave Macmillan Books, in: Ana Teresa Tavares & Aurora Teixeira (ed.), Multinationals, Clusters and Innovation, chapter 3, pages 27-47, Palgrave Macmillan.
    8. Fisher-Vanden, Karen & Ho, Mun S., 2010. "Technology, development, and the environment," Journal of Environmental Economics and Management, Elsevier, vol. 59(1), pages 94-108, January.
    9. Marcel Fafchamps & Måns Söderbom, 2014. "Network Proximity and Business Practices in African Manufacturing," The World Bank Economic Review, World Bank, vol. 28(1), pages 99-129.
    10. Christian Merkl & Timo Sauerbier, 2024. "Public Employment Agency Reform, Matching Efficiency, and German Unemployment," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 72(1), pages 393-440, March.
    11. Katayama, Hajime & Lu, Shihua & Tybout, James R., 2009. "Firm-level productivity studies: Illusions and a solution," International Journal of Industrial Organization, Elsevier, vol. 27(3), pages 403-413, May.
    12. Francesco Nucci & Filomena Pietrovito & Alberto Franco Pozzolo, 2021. "Imports and credit rationing: A firm‐level investigation," The World Economy, Wiley Blackwell, vol. 44(11), pages 3141-3167, November.
    13. Lumenga-Neso, Olivier & Olarreaga, Marcelo & Schiff, Maurice, 2001. "On"indirect"trade-related research and development spillovers," Policy Research Working Paper Series 2580, The World Bank.
    14. Wolfgang Keller, 2004. "International Technology Diffusion," Journal of Economic Literature, American Economic Association, vol. 42(3), pages 752-782, September.
    15. Christian Hutter & Francesco Carbonero & Sabine Klinger & Carsten Trenkler & Enzo Weber, 2022. "Which factors were behind Germany's labour market upswing? A data‐driven approach," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(5), pages 1052-1076, October.
    16. Sule Ozler & Kamil Yilmaz, 2009. "Productivity response to reduction in trade barriers: evidence from Turkish manufacturing plants," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 145(2), pages 339-360, July.
    17. Albornoz Facundo & Vanin Paolo, 2010. "Trade Protection and Industrial Structure," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 10(1), pages 1-31, July.
    18. Tulus Tambunnan, 2007. "Trade and Investment Liberalization Effects on SME Development: A Literature Review and a Case Study of Indonesia," Working Papers 4207, Asia-Pacific Research and Training Network on Trade (ARTNeT), an initiative of UNESCAP and IDRC, Canada..
    19. Keller, Wolfgang & Yeaple, Stephen, 2003. "Multinational Enterprises, International Trade and Productivity Growth: Firm-Level Evidence from the US," CEPR Discussion Papers 3805, C.E.P.R. Discussion Papers.
    20. DeSouza, Sergio Aquino, 2006. "Combining Aggregate and Plant-Level Data to Estimate a Discrete-Choice Demand Model," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 26(2), November.

    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:aif:journl:v:6:y:2022:i:1:p:30-42. 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: Farjana Rahman (email available below). General contact details of provider: .

    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.