IDEAS home Printed from https://ideas.repec.org/p/eab/macroe/22799.html

Processing Trade, Firm's Productivity, and Tariff Reductions : Evidence from Chinese Products

Author

Listed:
  • Miaojie Yu

    (China Center for Economic Research)

Abstract

This paper explores how processing trade, jointly with tariff reduction, can improve a firm's productivity. Tariff reductions generate productivity gain via competition, whereas processing export does so via spillovers. Using mostly disaggregated Chinese product-level trade data and firm-level production data from 2000--2006, after constructing firm-level tariffs based on product information and controlling for possible endogeneity, I found that a 10% tariff decrease generates a 12% increase in a firm's productivity gain. In addition, processing firms enjoy significant productivity gains via spillovers, with heterogeneity across firms divided according to ownership. These findings are robust to various econometric methods, disaggregated specifications, and measures.

Suggested Citation

  • Miaojie Yu, 2010. "Processing Trade, Firm's Productivity, and Tariff Reductions : Evidence from Chinese Products," Macroeconomics Working Papers 22799, East Asian Bureau of Economic Research.
    • Handle: RePEc:eab:macroe:22799
    as

    Download full text from publisher

    File URL: http://www.eaber.org/node/22799
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Feng, Ling & Li, Zhiyuan & Swenson, Deborah L., 2016. "The connection between imported intermediate inputs and exports: Evidence from Chinese firms," Journal of International Economics, Elsevier, vol. 101(C), pages 86-101.
    2. Larry Qiu & Miaojie Yu, 2014. "Multiproduct Firms, Export Product Scope, and Trade Liberalization: The Role of Managerial Efficiency," Working Papers 022014, Hong Kong Institute for Monetary Research.
    3. Yao Amber Li & Chen Carol Zhao, 2016. "Price Adjustment to Exchange Rates and Forward-looking Exporters: Evidence from USA–China Trade," Review of International Economics, Wiley Blackwell, vol. 24(5), pages 1023-1049, November.
    4. Haichao Fan & Yao Amber Li & Tuan Anh Luong, 2015. "Input-Trade Liberalization and Markups," HKUST IEMS Working Paper Series 2015-26, HKUST Institute for Emerging Market Studies, revised May 2015.
    5. Yao Amber Li & Jenny Xu & Carol Zhao Chen, 2015. "Import Response to Exchange Rate Fluctuations: A Micro-level Investigation," HKUST IEMS Working Paper Series 2015-27, HKUST Institute for Emerging Market Studies, revised May 2015.
    6. Xing, Yuqing, 2012. "Processing trade, exchange rates and China's bilateral trade balances," Journal of Asian Economics, Elsevier, vol. 23(5), pages 540-547.
    7. Jiang, Ting & Nie, Huihua, 2014. "The stained China miracle: Corruption, regulation, and firm performance," Economics Letters, Elsevier, vol. 123(3), pages 366-369.
    8. Weng, Qian & Söderbom, Måns, 2018. "Is R&D cash flow sensitive? Evidence from Chinese industrial firms," China Economic Review, Elsevier, vol. 47(C), pages 77-95.
    9. Fan, Haichao & Lai, Edwin L.-C. & Li, Yao Amber, 2015. "Credit constraints, quality, and export prices: Theory and evidence from China," Journal of Comparative Economics, Elsevier, vol. 43(2), pages 390-416.
    10. Nie, Huihua & Jiang, Ting & Yang, Rudai, 2012. "A Review and Reflection on the Use and Abuse of Chinese Industrial Enterprises Database," MPRA Paper 50945, University Library of Munich, Germany.
    11. Robert C. Feenstra & Zhiyuan Li & Miaojie Yu, 2014. "Exports and Credit Constraints under Incomplete Information: Theory and Evidence from China," The Review of Economics and Statistics, MIT Press, vol. 96(4), pages 729-744, October.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

    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:eab:macroe:22799. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Shiro Armstrong (email available below). General contact details of provider: https://edirc.repec.org/data/eaberau.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.