IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-981-95-5433-1_5.html

Empirical Design

In: Green Trade Barriers and the Green Transformation of China's Manufacturing Industry

Author

Listed:
  • Sheng Liu

    (Guangdong University of Foreign Studies)

  • Xiuying Chen

    (Guangdong University of Finance)

  • Rui Wang

    (Guangdong University of Foreign Studies)

Abstract

Chapter 5 describes the empirical strategy (including empirical models, variables, and data, etc.) used to analyze the effects of green trade barriers on corporate's pollution emissions. Overall, the study employs a two-step approach. First,Propensity Score Matching (PSM) is used to mitigate sample selection bias by matching enterprises exposed to green trade barriers with those not exposed, based on similar characteristics. Second, a Difference-in-Differences (DID) method is applied to estimate the causal impact of green trade barriers on pollution emissions. The study further includes a series of control variables such as enterprise size, age, capital intensity, financing constraints, and industry factors to account for potential confounders. The dataset is derived from several sources, including the China Industrial Enterprise Database and the WTO Environmental Database. Our empirical research framework provides insights for assessing how green trade barriers influence pollution reduction efforts among manufacturing firms.

Suggested Citation

  • Sheng Liu & Xiuying Chen & Rui Wang, 2026. "Empirical Design," Springer Books, in: Green Trade Barriers and the Green Transformation of China's Manufacturing Industry, chapter 5, pages 39-45, Springer.
    • Handle: RePEc:spr:sprchp:978-981-95-5433-1_5
    DOI: 10.1007/978-981-95-5433-1_5
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    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:spr:sprchp:978-981-95-5433-1_5. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.