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연구정보

[경제] Measuring Trade Facilitation: Evidence from India

인도 국외연구자료 연구보고서 - Carnegie 발간일 : 2022-05-17 등록일 : 2022-07-26 원문링크

In this paper the authors use the trigger presented by the World Trade Organization’s (WTO’s) Trade Facilitation Agreement (TFA) to undertake a comprehensive review of various publicly available studies for India relating to performance measurement of the ecosystem that handles the cross-border movement of goods, focusing on the period since 2015.

The paper summarizes the results of six key composite performance indicators—namely, (1) the Organisation for Economic Co-operation and Development’s (OECD’s) trade facilitation indicators (TFIs); (2) the World Bank’s Ease of Doing Business (EODB) Index; (3) the World Bank’s Logistics Performance Index (LPI); (4) the World Economic Forum’s (WEF’s) Global Competitiveness Index (GCI); (5) the World Bank’s World Governance Indicators (WGIs); and (6) the United Nations’ Global Survey on Trade Facilitation and Paperless Trade Implementation (GSTF-PTI). This paper, by examining these composite survey-based indicators and the intertemporal trends they exhibit for India, reveals that they have not been moving in agreement with each other and that some of the trends are evidently counterintuitive. A comparison between delineated subindicators of select composite indicators sometimes indicates surprising trends.

Import cargo release times (a performance measurement prescribed by the TFA) for the largest containerized port in the country, the Jawaharlal Nehru Port Trust (JNPT), have been extracted from various studies that have relied on the data from the customs automation system; the container tracking system, which employs radio-frequency identification (RFID); and survey-based studies, including the Trading Across Borders (TAB) component of the World Bank’s EODB Index. These import cargo release time studies present a consistent trend of improvement since 2017.

The paper, therefore, highlights the greater robustness of cargo release time trends, based particularly on technology-enabled data-driven studies as a more meaningful metric for measurement of performance of border management agencies and practices vis-à-vis survey or perception-based indicators representing “enablers” of trade facilitation.

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