IDEAS home Printed from https://ideas.repec.org/a/ijr/beejor/v4y2016i41p1-11.html
   My bibliography  Save this article

Application of Pollution Haven Hypothesis in Identifying Dirty Industries Evidence of Iran-China Commercial Relationship

Author

Listed:
  • Reza Akhbari

    (Faculty of Economics, Allameh Tabataba’I University, Iran.)

  • Hamid Amadeh

    (Faculty of Management and Economics, Islamic Azad University, Iran.)

  • Mina Alemzadeh

    (Faculty of Management and Economics, Islamic Azad University, Iran.)

Abstract

In all societies, economic growth and development are followed as positive goals. However, they have negative effects in other fields such as environment. In recent years, discussions about externalities of globalization and free trade have shaped, proposing the pollution haven hypothesis (PHH) and thereby revealing the massive share of trade and the importance of globalization in transferring pollutants. We have used the ARDL approach to cointegration to identify long run relationships between variables in the PHH models about Iran-China trade relationship on time series data (1987 to 2004). We separate dirty industries from green ones by ISIC codes. We present models for each ISIC codes and one model to examine whether the PHH could still be true if all dirty industries were aggregated. Results show that EKC is N-shaped and the share of manufacturing products in CO2 emission is enormous but output of our estimation didn’t support the PHH in aggregated model although in detailed models, such as models with 34 and 35 ISIC codes, the existence of PHH cannot be rejected.

Suggested Citation

  • Reza Akhbari & Hamid Amadeh & Mina Alemzadeh, 2016. "Application of Pollution Haven Hypothesis in Identifying Dirty Industries Evidence of Iran-China Commercial Relationship," Bulletin of Energy Economics (BEE), The Economics and Social Development Organization (TESDO), vol. 4(1), pages 1-11, March.
  • Handle: RePEc:ijr:beejor:v:4:y:2016:i:41:p:1-11
    as

    Download full text from publisher

    File URL: http://tesdo.org/shared/upload/pdf/papers/BEE,%204_1_,%201-11%20.pdf
    Download Restriction: no

    File URL: http://tesdo.org/journal_detail.php?paper_id=186&expand_year=2016
    Download Restriction: no

    More about this item

    Keywords

    Pollution Haven Hypothesis; Trade; EKC; ARDL;

    JEL classification:

    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • F18 - International Economics - - Trade - - - Trade and Environment

    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:ijr:beejor:v:4:y:2016:i:41:p:1-11. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dr. Muhammad Shahbaz (PhD Applied Economics)). General contact details of provider: http://edirc.repec.org/data/tesdopk.html .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.