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Business News | With More Than 18 FTAs So Far, India Must Shift Focus to Deliver Export Gains Amid Tough 2026 Trade Outlook: GTRI | LatestLY

  • Bias Rating
  • Reliability

    40% ReliableAverage

  • Policy Leaning

    N/A

  • Politician Portrayal

    -51% Negative

Bias Score Analysis

The A.I. bias rating includes policy and politician portrayal leanings based on the author’s tone found in the article using machine learning. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral.

Sentiments

Overall Sentiment

16% Positive

  •   Liberal
  •   Conservative
SentenceSentimentBias
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Bias Meter

Contributing sentiments towards policy:

58% : Merchandise exports are likely to remain flat in FY26 due to weak global demand and rising protectionism, while services exports may cross USD 400 billion, providing the only meaningful cushion to India's overall trade performance.
53% : Even before payments begin, compliance and reporting requirements have already pushed India's steel exports to the EU down by about 24 per cent.
51% : The European Union is set to activate its Carbon Border Adjustment Mechanism (CBAM) from January 1, 2026, effectively imposing a carbon tax on imports.
50% : Rising protectionism in advanced economies, weakening global demand and new climate-linked trade barriers are converging at a time when India is attempting to scale up exports.
47% : From 2026, EU importers will price Indian goods inclusive of CBAM costs, with payments to be settled through certificate surrender in 2027.
43% : New Delhi [India], December 25 (ANI): With 18 free trade agreements (FTAs) already signed and more likely in 2026, India's priority must now move from negotiating new deals to ensuring existing FTAs translate into real export gains, particularly in electronics, engineering and textiles, highlighted a report by the Global Trade Research Initiative (GTRI).

*Our bias meter rating uses data science including sentiment analysis, machine learning and our proprietary algorithm for determining biases in news articles. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization.

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