IDEAS home Printed from https://ideas.repec.org/p/esc/wpaper/8210.html

Trade, infrastruture and income inequality in selected Asian countries: An empirical analysis

Author

Listed:
  • Ajitava Raychaudhuri

  • Prabir De

    (Jadavpur University)

Abstract

This paper attempts to unravel the interlinkages and interconnections among infrastructure, trade openness and income inequality, using panel data of 14 Asia-Pacific countries at different levels of development.

Suggested Citation

  • Ajitava Raychaudhuri & Prabir De, 2010. "Trade, infrastruture and income inequality in selected Asian countries: An empirical analysis," Working Papers 8210, Asia-Pacific Research and Training Network on Trade (ARTNeT), an initiative of UNESCAP and IDRC, Canada..
  • Handle: RePEc:esc:wpaper:8210
    as

    Download full text from publisher

    File URL: http://www.unescap.org/tid/artnet/pub/wp8210.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. repec:wbk:wbpubs:6519 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Bajar, Sumedha. & Rajeev, Meenakshi., 2015. "The impact of infrastructure provisioning on inequality : evidence from India," ILO Working Papers 994882713402676, International Labour Organization.
    2. Ansgar Belke & Andreas Wernet, 2015. "Poverty Reduction through Growth and Redistribution Policies—a Panel Analysis for 59 Developing Countries," Review of Development Economics, Wiley Blackwell, vol. 19(1), pages 143-162, February.
    3. Muhammad Zakaria & Bashir Ahmed Fida, 2016. "Trade openness and income inequality in China and the SAARC Region," Asian-Pacific Economic Literature, The Crawford School, The Australian National University, vol. 30(2), pages 33-44, November.
    4. Medeiros, Victor & Ribeiro, Rafael Saulo Marques, 2020. "Power infrastructure and income inequality: Evidence from Brazilian state-level data using dynamic panel data models," Energy Policy, Elsevier, vol. 146(C).
    5. Victor Medeiros & Rafael Saulo Marques Ribeiro & Pedro Vasconscelos Maia do Amaral, 2022. "Infrastructure and income inequality: An application to the Brazilian case using hierarchical spatial autoregressive models," Journal of Regional Science, Wiley Blackwell, vol. 62(5), pages 1467-1486, November.
    6. repec:ilo:ilowps:488271 is not listed on IDEAS
    7. repec:uii:journl:v:9:y:2017:i:1:p:29-39 is not listed on IDEAS

    More about this item

    Keywords

    ;
    ;
    ;

    JEL classification:

    • F1 - International Economics - - Trade

    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:esc:wpaper:8210. 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: Yann Duval (email available below). General contact details of provider: http://www.unescap.org/tid/artnet/ .

    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.