IDEAS home Printed from https://ideas.repec.org/a/ibn/ijbmjn/v13y2018i4p232.html

Research on China’s M&A Efficiency Based on DEA–Tobit

Author

Listed:
  • Sen Wang
  • Zhijun Zhang

Abstract

M&A has always been the theme of country economic development and corporate transformation and upgrading, M&A promote the flow of capital between enterprises and make the optimal scale of operation by reallocating the resources and adjusting asset structure. Based on the perspective of acquirers and acquires, Research uses the DEA-Tobit method to measure the dynamic effect of 6 kinds of M&A way in the short and long period. Through empirical research, it shows that there are different effects in the efficiency of different M&A ways. The same way of M&A, due to the enterprises in different status in M&A, efficiency effect will be also different. Through the analysis of efficiency changes, Come to conclusion that for the asset acquisition and absorb and merge by the acquirers should be prevented from being too large, resulting in a decrease in scale efficiency; Debt restructuring can reduce the debt burden, and quickly improve the efficiency. It is difficult to improve the efficiency for acquires, if asset divestiture, asset replacement, equity transfer is related or not great events, enterprises should try to choose the external M&A objects. The conclusion of the research has an important guiding role in today economic background of the adjusting economy structure and de-stocking in china.

Suggested Citation

  • Sen Wang & Zhijun Zhang, 2018. "Research on China’s M&A Efficiency Based on DEA–Tobit," International Journal of Business and Management, Canadian Center of Science and Education, vol. 13(4), pages 232-232, March.
    • Handle: RePEc:ibn:ijbmjn:v:13:y:2018:i:4:p:232
    as

    Download full text from publisher

    File URL: http://www.ccsenet.org/journal/index.php/ijbm/article/download/73003/40946
    Download Restriction: no
    File URL: http://www.ccsenet.org/journal/index.php/ijbm/article/view/73003
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    2. Odeck, James, 2008. "The effect of mergers on efficiency and productivity of public transport services," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(4), pages 696-708, May.
    3. Mahabubur Rahman & Mary Lambkin & Dildar Hussain, 2016. "Value Creation and Appropriation following M&A," Post-Print hal-01477751, HAL.
    4. Schmitt, Matt, 2017. "Do hospital mergers reduce costs?," Journal of Health Economics, Elsevier, vol. 52(C), pages 74-94.
    5. Rahman, Mahabubur & Lambkin, Mary & Hussain, Dildar, 2016. "Value creation and appropriation following M&A: A data envelopment analysis," Journal of Business Research, Elsevier, vol. 69(12), pages 5628-5635.
    6. Halkos, George E. & Tzeremes, Nickolaos G., 2013. "Estimating the degree of operating efficiency gains from a potential bank merger and acquisition: A DEA bootstrapped approach," Journal of Banking & Finance, Elsevier, vol. 37(5), pages 1658-1668.
    7. Du, Kai & Sim, Nicholas, 2016. "Mergers, acquisitions, and bank efficiency: Cross-country evidence from emerging markets," Research in International Business and Finance, Elsevier, vol. 36(C), pages 499-510.
    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. Monastyrenko, Evgenii, 2017. "Eco-efficiency outcomes of mergers and acquisitions in the European electricity industry," Energy Policy, Elsevier, vol. 107(C), pages 258-277.
    2. Worthington, Andrew C. & Zelenyuk, Valentin, 2018. "Data envelopment analysis, truncated regression and double-bootstrap for panel data with application to Chinese bankingAuthor-Name: Du, Kai," European Journal of Operational Research, Elsevier, vol. 265(2), pages 748-764.
    3. Bai, Xue-jie & Zeng, Jin & Chiu, Yung-Ho, 2019. "Pre-evaluating efficiency gains from potential mergers and acquisitions based on the resampling DEA approach: Evidence from China's railway sector," Transport Policy, Elsevier, vol. 76(C), pages 46-56.
    4. Per J. Agrell & Pontus Mattsson & Jonas Månsson, 2020. "Impacts on efficiency of merging the Swedish district courts," Annals of Operations Research, Springer, vol. 288(2), pages 653-679, May.
    5. Ying Li & Yung-Ho Chiu & Tai-Yu Lin & Tzu-Han Chang, 2020. "Pre-Evaluating the Technical Efficiency Gains from Potential Mergers and Acquisitions in the IC Design Industry," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 19(02), pages 525-559, April.
    6. Petridis, Konstantinos & Tampakoudis, Ioannis & Drogalas, George & Kiosses, Nikolaos, 2022. "A Support Vector Machine model for classification of efficiency: An application to M&A," Research in International Business and Finance, Elsevier, vol. 61(C).
    7. Lie Heng & Nur Afifah, 2020. "Entrepreneurial Orientation for Enhancement of Marketing Performance," International Review of Management and Marketing, Econjournals, vol. 10(3), pages 46-53.
    8. Xiao Shi & Yongjun Li & Ali Emrouznejad & Jianhui Xie & Liang Liang, 2017. "Estimation of potential gains from bank mergers: A novel two-stage cost efficiency DEA model," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(9), pages 1045-1055, September.
    9. Li, Hui & Wu, Dongdong, 2024. "Online investor attention and firm restructuring performance: Insights from an event-based DEA-Tobit model," Omega, Elsevier, vol. 122(C).
    10. Amir Moradi-Motlagh & Ali Emrouznejad, 2022. "The origins and development of statistical approaches in non-parametric frontier models: a survey of the first two decades of scholarly literature (1998–2020)," Annals of Operations Research, Springer, vol. 318(1), pages 713-741, November.
    11. Dan Li & Yanfeng Li & Yeming Gong & Jiawei Yang, 2021. "Estimation of bank performance from multiple perspectives: an alternative solution to the deposit dilemma," Journal of Productivity Analysis, Springer, vol. 56(2), pages 151-170, December.
    12. Rahman, Mahabubur & Faroque, Anisur R. & Sakka, Georgia & Ahmed, Zafar U., 2022. "The impact of negative customer engagement on market-based assets and financial performance," Journal of Business Research, Elsevier, vol. 138(C), pages 422-435.
    13. Facundo Costa de Arguibel & Carolina Wittig & Juan Antonio Dip, 2023. "Estructura de Propiedad, Origen de Capital y Eficiencia Bancaria: Evidencia para A," Working Papers 251, Red Nacional de Investigadores en Economía (RedNIE).
    14. George E. Halkos & Roman Matousek & Nickolaos G. Tzeremes, 2016. "Pre-evaluating technical efficiency gains from possible mergers and acquisitions: evidence from Japanese regional banks," Review of Quantitative Finance and Accounting, Springer, vol. 46(1), pages 47-77, January.
    15. Amirteimoori, Alireza & Kou, Gang, 2024. "Technical efficiency and managerial ability in two-stage production processes with undesirable products: A case on Asian banks," Socio-Economic Planning Sciences, Elsevier, vol. 96(C).
    16. Jianhui Xie & Xiaoxuan Zhu & Liang Liang, 2020. "A multiplicative method for estimating the potential gains from two-stage production system mergers," Annals of Operations Research, Springer, vol. 288(1), pages 475-493, May.
    17. Kai Du & Andrew C. Worthington & Valentin Zelenyuk, 2015. "The dynamic relationship between bank asset diversification and efficiency: Evidence from the Chinese banking sector," CEPA Working Papers Series WP122015, School of Economics, University of Queensland, Australia.
    18. Stephen N. Jurich & M. Mark Walker, 2021. "Deal motivations and bargaining power: do executives show their hand in SEC filings?," SN Business & Economics, Springer, vol. 1(4), pages 1-28, April.
    19. CNV Krishnan & Jialun Wu, 2022. "Market Misreaction? Evidence from Cross-Border Acquisitions," JRFM, MDPI, vol. 15(2), pages 1-19, February.
    20. Konara, Palitha & Tan, Yong & Johnes, Jill, 2019. "FDI and heterogeneity in bank efficiency: Evidence from emerging markets," Research in International Business and Finance, Elsevier, vol. 49(C), pages 100-113.

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    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:ibn:ijbmjn:v:13:y:2018:i:4:p:232. 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: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.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.