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\"This book focuses on Indian manufacturing industries and analyses the impact of inward foreign direct investment on the domestic sector on the one hand, and exports and outward foreign direct investment by Indian companies on the other. Although the emphasis is mostly general, specific industries, such as the automotive industry or the wind energy sector are also explored. The differences between low and high technology industries are also addressed. In terms of theoretical setting and analysis, the book draws both from international business and industrial organization literature. The various characteristics of Indian industries, such as the determinants and impacts of R&D, the effects of spillovers, the drivers of productivity and technical efficiency are thoroughly researched employing appropriate quantitative methodologies that are relevant to the specific domain and topic under investigation.\" -- Back cover.

Structural transformation depends not only on how much countries export but also on what they export and with whom they trade. This paper breaks new ground in analyzing India's exports by the technological content, quality, sophistication, and complexity of the export basket. We identify five priority areas for policies: (1) reduction of trade costs, at and behind the border; (2) further liberalization of FDI including through simplification of regulations and procedures; (3) improving infrastructure including in urban areas to enhance manufacturing and services in cities; (4) preparing labor resources (skills) and markets (flexibility) for the technological progress that will shape jobs in the years ahead; and (5) creating an enabling environment for innovation and entrepreneurship to draw the economy into higher productivity activities.

This study presents a comprehensive analytical framework to examine and forecast the dynamics of India’s cashew production and cashew nut shell liquid (CNSL) exports. The analysis comprises two integrated components: a machine learning-based production forecasting system and a network topology analysis of India’s global CNSL trade relationships. For production forecasting, we develop a hybrid pipeline that integrates rolling Seasonal-Trend Decomposition using Loess (STL) with ensemble machine learning methods, specifically Random Forest and Gradient Boosting Machines, benchmarked against regularized linear models (Ridge and ElasticNet). To prevent data leakage, we implement a novel rolling STL decomposition approach that performs signal decomposition iteratively using only historical data available at each forecast origin. The methodology incorporates robust data preprocessing steps such as missing value imputation and normalization, along with temporal feature engineering involving lagged values, moving averages, rolling statistics, and year-on-year growth rates. To ensure reliable performance evaluation, we adopt an expanding window cross-validation strategy tailored for time series data across three temporal folds spanning 1999–2020. Among the models evaluated, Gradient Boosting demonstrates superior performance with an$$\\hbox {R}^{2}$$of 0.988 ($$\\pm 0.016$$), MAPE of 3.6% ($$\\pm 2.3\\%$$), and RMSE of 45.8 MT ($$\\pm 35.2$$), achieving 72% lower MAE compared to Ridge regression and outperforming Random Forest by 72% in mean absolute error. In the second component, we construct India’s global CNSL trade network spanning 1999–2020 and apply five centrality measures Degree, Closeness, Betweenness, Eigenvector, and PageRank to characterize its structure and identify key trading nodes. To further assess concentration and dependency, we introduce a novel Source-Importer Ratio metric, revealing pronounced disparities in trade influence, with differences of over 50-fold in degree centrality and 43-fold in PageRank across countries. The network analysis identifies India as the dominant hub with maximal degree centrality (1.0) and PageRank (0.461), while all importer countries exhibit uniformly low centrality scores (0.0196), confirming a star-like network topology with 52 nodes and 51 edges. By combining high-accuracy forecasting with network-driven diagnostics, this integrated approach provides a decision-support framework tailored to the needs of policymakers, exporters, and agri-business strategists. The study concludes with policy suggestions aimed at strengthening supply chain resilience, mitigating trade risks, and promoting export diversification. All code, data, and trained models are made publicly available to support reproducibility and adaptation to other perennial crop systems. Future work will extend the framework by integrating exogenous drivers such as climatic indicators and global price trends, and by updating the network analysis with post-2020 data to capture pandemic-induced structural changes in global trade patterns.

In view of the increasing thrust of exports in the field of International Marketing, a number of Indian Universities have introduced the subject \"Export-Import Procedures, Documentation and Logistics\" at post graduation level, in particular MBA. This subject has gained importance, as doors of employment have been opened on this new front with the increasing pace of exports. In this book, all the topics have been dealt in a systematic manner. The topics are covered in the same order of UGC syllabus for student's convenient reading. The students, pursuing MBA and other courses, who had studied this subject at graduation/ postgraduation level will find this book useful as many Business Schools/ Institutions have the same topics, chosen by UGC, in their course contents.

Export competitiveness of a country in transacting agricultural commodities mainly depend upon three factors, viz., growth in demand in importing countries, competitiveness of the commodity in the international market and focus country’s export share matching the demand requirements in importing countries. In this paper, the export growth of five major commodities viz., rice milled-equivalent, maize, chickpea, cotton lint and chillies and peppers, dry is decomposed through employing Constant Market Share Analysis (CMSA) into broad components and its sub components. The findings revealed that the exports of selected commodities, especially cotton lint and chillies and peppers, dry showed considerable growth during overall reference period. CMSA results showed that SE is dominant for export growth of rice milled-equivalent, SOE influenced the export growth for maize, chickpea and chillies and peppers, dry and CE accounted for export growth of cotton lint from India during overall reference period. The findings also inferred that cost-effective production, quality product, prompt shipments and assured delivery of the product in right time are the key factors for influencing export growth. So, India has to adopt dual strategy through concentrating on traditional markets by increasing export competitiveness and explore new markets for future export strategy.

Export competitiveness of a country in transacting agricultural commodities mainly depend upon three factors, viz., growth in demand in importing countries, competitiveness of the commodity in the international market and focus country's export share matching the demand requirements in importing countries. In this paper, the export growth of five major commodities viz., rice milled-equivalent, maize, chickpea, cotton lint and chillies and peppers, dry is decomposed through employing Constant Market Share Analysis (CMSA) into broad components and its sub components. The findings revealed that the exports of selected commodities, especially cotton lint and chillies and peppers, dry showed considerable growth during overall reference period. CMSA results showed that SE is dominant for export growth of rice milled-equivalent, SOE influenced the export growth for maize, chickpea and chillies and peppers, dry and CE accounted for export growth of cotton lint from India during overall reference period. The findings also inferred that cost-effective production, quality product, prompt shipments and assured delivery of the product in right time are the key factors for influencing export growth. So, India has to adopt dual strategy through concentrating on traditional markets by increasing export competitiveness and explore new markets for future export strategy.

In this study, a nonlinear dynamical system is developed to analyze the dynamics of Indian exports to USA, the US tariff rate on Indian goods, and the competitiveness of India’s export sector. The model is formulated as a three-dimensional system of differential equations that incorporates logistic growth in exports, tariff adjustments driven by trade imbalances, and the evolution of competitiveness shaped by innovation, productivity, and global demand. Each equation reflects a distinct economic mechanism: nonlinear export growth under capacity constraints, tariffs as feedback responses, and competitiveness as an adaptive dynamic. Analytical investigation reveals the existence of an interior equilibrium and provides conditions for its local asymptotic stability using the Routh–Hurwitz criterion. The resulting stability condition is used to derive a parameter-dependent stability region in the competitiveness–tariff space. Phase portraits and contour plots illustrate the system’s dynamic behavior under various policy scenarios. Numerical simulations further reveal threshold effects in export sustainability and identify parameter regions where small tariff adjustments destabilize trade flows. The findings underscore critical policy implications, suggesting that adaptive tariff strategies and sustained competitiveness are essential for maintaining India’s trade stability under evolving US tariff regimes.

It gives me immense pleasure to put forth a thoroughly revised edition of `Export Import Procedures & Documentation` based on the new Foreign Trade Policy 2009-2014. The book exclusively deals with the basic issues related to export-import trade and documentation. Attempts have been made to simply complicated procedures without diluting the contents of the policy declared by the Government.

India and China are two emerging economic giants on global map. Their rise is good for the globe, which has enough space to accommodate the growth aspiration of the people in both the countries. The contribution of both economies to the global trade is significant. They can play a vital role in the creation and facilitation of global trade by enhancing their respective trade as well as their trade with each other. This paper analyzes the emerging trends in Chinese trade, Indo-China trade and explores the issues which are hampering the growth and development of trade between the two emerging economies of the world as there has been enormous potential of expansion and diversification of trade. The paper further gives guide-posts for improving the trade relation between India and China.