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Regular version of the site

The Institute of Trade Policy (ITP) was founded at HSE University in April 2004.

The key tasks of the ITP are:

  • Applied and fundamental research, expertise and consulting in trade policy
  • Support for the use of research results in the educational process, training and retraining of experts in trade policy, and involving students in the institute's research and practical work
  • Preparation for publication of scientific reports, articles, educational materials, and other papers

Reports and Conferences

  • Round table at the XXIV Yasin (April) International Academic Conference on Economic and Social Development

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  • Round table at the XXIII Yasin (April) International Academic Conference on Economic and Social Development

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  • XXII Yasin (April) Conference Special Session on New Frontiers of International Trade Regulation: Trade Policy and the Second Wind of the Global Economy

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  • XXI Yasin (April) Conference Special Session on New Frontiers of International Trade Regulation

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  • XX Yasin (April) Conference Special Session on Next Generation Trade Policy and the Creation of a Future System of Multilateral Trade Regulation for the Benefit of Social and Economic Development

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Trade Policy Journal

The ITP organised the publication of the Trade Policy periodical scientific journal.

Administration

Alexander V. Daniltsev
Director, Doctor of Sciences

Publications

  • Book

    Kanaev E., Krayushkina A., Avdonina S. et al.

    Digital Marketing Ecosystems in the Asia-Pacific Region

    The report traces the development of digital market ecosystems in the Asia-Pacific Region.

    Orientalia Rossica, 2025.

  • Article

    Kanaev E., Zvereva T., Antipov D.

    Prospects for Cooperation between ASEAN and France in the Digital Field

    The article explores major factors behind ASEAN’s interest in cooperation with France in the digital field, as well as its prospects. On revealing the specifics of the digital component in ASEAN’s integration policy, the authors proceed to summarizing the reasons for ASEAN’s slipping into dependence on extra-regional partners, as well as behind its interest in diversifying suppliers of digital infrastructure-related solutions, technologies and skills. Then, key directions of France’s policy in Southeast Asia are outlined, and prospects for cooperation between ASEAN and France in the digital field are assessed. In the authors’ opinion, ASEAN’s interest in cooperation with France is strong and is likely to grow in the foreseeable future. The article is prepared by specialists in European (France as the primary field) and Asian (ASEAN the primary field) studies, which allowed carrying out a deep and academically insightful analysis of the priorities and policies of either partner. The relevance of the article stems from ASEAN’s interest in elaborating on effective digital tools as a key success factor behind the implementation of its projects and initiatives after the year 2025. As the association explores additional mechanisms to raise its competitiveness, including by means of expanding cooperation with extra-regional partners, the article has obvious academic and practical significance.

    Southeast Asia: Actual Problems of Development. 2025. Vol. 4. No. 4 (69). P. 21-33.

  • Book chapter

    Kanaev E., Fedorovskiy A., Kupriyanov A. et al.

    Indo-Pacific Asia

    The chapter outlines most likely trends across the Indo-Pacific Asia in 2025.

    In bk.: Russia and the World: 2025. Economy and Foreign Policy. Annual Forecast.. IMEMO RAN, 2025.

  • Working paper

    Turovets Y., Vishnevskiy K., Altynov A.

    How to Measure AI: Trends, Challenges and Implications

    How do comparable and similar indicators to measure artificial intelligence (AI) look across countries? In answering this question, our study addresses two main aims. Firstly, the paper introduces a holistic approach as operational tool to measure AI development (supply side) and adoption (demand side), which covers AI definition, AI technologies taxonomy, and a set of indicators. Secondly, the suggested methodology combines several sources of information like survey, bibliometric, and patent analysis. Next, by analyzing the results of a pilot survey and calculations, the reliability of indicators and a tentative assessment the state of the art of AI development and adoption in Russia is provided. Taking into consideration the complex nature of AI, the study represents a number of baseline parameters that give an overview of AI progress on a country level. The next step will be an elaboration of detailed indicators that at capture AI characteristics to a greater extent in different economic sectors

    Science, Technology and Innovation. WP BRP. Высшая школа экономики, 2020. No. 116.

All publications

Contacts