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Is there any relationship between Marginal Intra-Industry Trade and Employment Change? Evidence from Indian Industries

Author

Listed:
  • Sakshi Aggarwal

    (Indian Institute of Foreign Trade (IIFT))

  • Debashis Chakraborty

    (Indian Institute of Foreign Trade (IIFT))

Abstract

While India has developed deeper integration with global trade flows since the economic reforms initiated in 1991 in general, the simultaneous exports and imports with partner countries have witnessed considerable rise in particular. There exists a rich literature on India’s aggregate as well as sectoral overlapping trade, termed as Intra-Industry Trade (IIT). It is however argued that the static measures of IIT fails to capture the dynamism involved, and Marginal Intra-Industry Trade (MIIT) index is used to compute the trade overlap for this purpose. The current analysis observes a rising trend in India’s MIIT in select industrial sectors since 2001. However, India is also suffering from a rising trade deficit in several industrial sectors, and a possible trade-led employment effect cannot be ruled out. Given this background, the current analysis explores the relationship between MIIT and employment changes in the selected sectors. In addition, the stability analysis explores the differing influence of the independent variables on employment changes, based on trade balance pattern. The empirical results indicate that MIIT, increase in productivity, skilled workforce intensity, trade balance, trade openness and FDI inflows significantly influence absolute employment changes. Moreover, sectors with higher MIIT, high relative growth rate, skill intensity and trade balance facilitate higher absolute changes in employment.

Suggested Citation

  • Sakshi Aggarwal & Debashis Chakraborty, 2020. "Is there any relationship between Marginal Intra-Industry Trade and Employment Change? Evidence from Indian Industries," Working Papers 2044, Indian Institute of Foreign Trade.
  • Handle: RePEc:ift:wpaper:2044
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    References listed on IDEAS

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    Citations

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    Cited by:

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    2. Aggarwal, Sakshi, 2023. "LSTM based Anomaly Detection in Time Series for United States exports and imports," MPRA Paper 117149, University Library of Munich, Germany.
    3. Ajmani, Manmeet, 2023. "Examining the interplay between agri-food and trade competitiveness: A review of literature," MPRA Paper 118396, University Library of Munich, Germany.
    4. Aggarwal, Sakshi, 2023. "Global assessment of climate change and trade on food security," MPRA Paper 117152, University Library of Munich, Germany.
    5. Aggarwal, Sakshi, 2023. "Intra-industry trade: Revisiting theory and Literature Survey," MPRA Paper 117182, University Library of Munich, Germany.
    6. Aggarwal, Sakshi, 2023. "Machine Learning algorithms, perspectives, and real-world application: Empirical evidence from United States trade data," MPRA Paper 116579, University Library of Munich, Germany.
    7. Nivedita Mullick & Areej A. Siddiqui, 2021. "Economic Integration Agreements and Extensive Margin of Export: An Empirical Study of India," Working Papers 2155, Indian Institute of Foreign Trade.

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    More about this item

    Keywords

    Indian industrial sector; Marginal Intra-industry Trade; trade and labor market interactions; panel data models;
    All these keywords.

    JEL classification:

    • F13 - International Economics - - Trade - - - Trade Policy; International Trade Organizations
    • F14 - International Economics - - Trade - - - Empirical Studies of Trade
    • F16 - International Economics - - Trade - - - Trade and Labor Market Interactions
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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