Determinants of Intra-Industry Trade and Labour Market Adjustment: A Sectoral Analysis of India

· Cambridge Scholars Publishing
Ebook
311
Pages
Eligible
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About this ebook

Intra-industry trade (IIT) has emerged as a major area of research in the analysis of international and intra-regional specialization. This book highlights the changes which the Indian economy has witnessed in the past two decades following the economic liberalization of the 1990s.

It has been revealed that there are comparatively few studies in the context of developing economies which focus on the country-industry-specific determinants of aggregate and sectoral IIT. The book incorporates several hypotheses to analyze demand-driven, supply-induced, industry-specific, and policy-oriented drivers influencing the level of bilateral aggregate and sectoral IIT in the Indian context. Moreover, several trade-related, labor specific and trade overlap induced factors dictate the growth trajectory and the employment level of an economy. Therefore, the current research conducts an empirical analysis to examine each hypothesis and provide significant findings to explore the relationship between key economic variables, their interaction effects, and their impact on the growth of the Indian economy.

About the author

Sakshi Aggarwal is affiliated with the Indian Institute of Foreign Trade, and has over nine years of industry experience in the field of economics. Her research areas include international economics, monetary economics, trade agreements, food policy, panel-data estimation, econometrics, trade facilitation, and domestic value-addition, among others. Aggarwal has published more than 20 articles in reputed international journals, and has peer-reviewed several articles and books. The author has hands-on experience in conducting advanced statistical data analysis and model development for several data engineering and scientific projects, where she has actively participated in implementing end-to-end data driven systems using programming languages such as Python, Structured Query Language (SQL), and Statistical Analysis System (SAS).

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