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Increasing trade liberalization and financial integration with rise in foreign direct investment (FDI) flows have an intense impact on the labor market of both the developed as well as the developing world. The restructuring of economic activity has resulted in destruction of jobs in some parts of the economy and start-ups of new firms in the other part, growing import competition with foreign firms displacing local firms, relocation of jobs from high wage to low wage nations. It is claimed that rapid globalization has also the outcome of “race to the bottom” in terms of wages and the quality of employment. As per the latest International Labor Organization (ILO) Global Employment Trends, 2022, total global number of unemployed youths is estimated to reach 73 million in 2022 but still six million above the prepandemic level of 2019. The latest press release October 2022 points out that trade growth is likely to experience a slowdown in 2023 due to multiple shocks on global economy. High energy prices due to the Russia–Ukraine war is expected to contract household expenditure and raise the cost of manufacturing. The present chapter seeks to analyze the impact of trade flows on the labor market – job creation or job loss, wage inequality, movement toward informal economy, gender inequalities, and other related issues. The data are based on various reports available from the ILO, the World Development Indicators (WDI) and the United Nations Conference on Trade and Development (UNCTAD), and World Trade Oorganization (WTO) Trade Reports. The empirical analysis also confirms that there is a unidirectional causality from trade to employment generation.

Any country including India which has registered remarkable growth has done so by participating in the economic integration process led by global and regional trade liberalization. India has an emerging web of cooperation with East Asian countries, especially Association of South East Asian Nations (ASEAN) through the ASEAN–India dialogue process, the bilateral free trade agreement with Malaysia, Singapore, and Thailand and subregional initiatives such as the Mekong–Ganga Cooperation and the Bay of Bengal Initiative for Multi-Sectoral Technical and Economic Cooperation (BIMSTEC; Yong 2005).

India's free trade agreements and regional trade agreements with countries in this region have not been models of success in their implementation even when there were benefits. The main idea of the formal trade negotiation was to enhance ASEAN-India partnership, specifically in the economic arena. However, India's position in ASEAN's external trade and investment flows has not yet experienced any special momentum. The two-way trade between India and ASEAN is tilted toward ASEAN with the trade gap expanding rapidly.

Thus, to understand India's trade with ASEAN, the chapter would examine India's trade prospects with the ASEAN-5 (Indonesia, Malaysia, Thailand, Philippines, and Vietnam) particularly in merchandise trade. This chapter would identify new products that India can export to the ASEAN, which will increase its share in ASEAN's market. In order to achieve this, the chapter seeks to discuss the detailed microanalysis at HS 6-digit level to capture the trade creation effects based on lower unit value items for estimating product-specific potential exports and imports to/from ASEAN.

Asia has emerged as the fastest growing economic region in the world at present. The region is endowed with 60% of global population with a huge market size, making the region an attractive destination for trade to the countries around the world. In 2017, almost 38% of global import was made solely by this region. Among the Asian countries, India has been able to establish itself as a consistent performer in trade during last three decades. The volume of its global trade (export + import) has increased remarkably by more than 32 times (from 33.22 billion USD in 1988 to 1,081.36 billion USD in 2017) within this period. India's trade with its major Asian partners has gone through a considerable change in its volume, direction, nature, and composition in the period of trade liberalization. Both export and import have increased manifold during this period with a faster increment in imports over its exports, resulting a huge trade deficit of 109.36 billion USD in 2017. Undoubtedly, it is a matter of concern for India. The present study is an attempt to evaluate the changes in pattern of India's trade, volume of export and import, and balance of trade with other Asian countries in the context of changes in trade policy, tariff rates, exchange rates, FDI, and economic growth during 1988 to 2017.

A country is vulnerable when it is susceptible to shocks. This chapter uses data from 34 developing countries to investigate vulnerability trends for them since the 1990s. We find that the level of economic development is inversely related to macroeconomic vulnerability. The countries that became less primarily vulnerable belong to the upper middle-income and middle-income groups; the reverse is true for most vulnerable countries up to 2014. Argentina and Papua New Guinea became more vulnerable from 2016 to 2020. Income plays a crucial role in deciding vulnerability in the globalization era. Geographical location is a key factor in measuring vulnerability, especially in African countries. But the reverse result took place in the de-globalization era. The majority of the upper middle-income and lower middle-income countries are among the most vulnerable. Surprisingly, lower-income groups include the nations with significantly lower IMV values.

The present study aims to determine the existence of simultaneous relationship between economic growth, income inequality, fiscal policy, and total trade of the 13 emerging market economies as a group for the period 1980–2010. After establishing the existence of simultaneity between the above relationships, a simultaneous panel model has been formulated and estimated incorporating the nonlinearity among the variables as suggested by the existing literature. An inverted U-shape relationship is evident between (1) economic growth, income inequality, and total trade in economic growth equation, (2) income inequality, economic growth, and per capita income in income inequality equation, and (3) total trade and economic growth in total trade equation. Thus, the existence of a two-way nonlinear relationship is highlighted between economic growth, income inequality, and total trade. Apart from these nonlinear relationships, positive and significant effect of (1) gross capital formation, inflation, population growth, human capital, fiscal policy, monetary policy, and domestic credit to private sector on economic growth; (2) civil liabilities on income inequality; (3) gross capital formation and inflation on total trade; (4) total trade, population growth of those aged 65 years and above, political system on fiscal policy is highlighted. Also, negative and significant effect of (1) fiscal policy on income inequality and (2) income inequality on fiscal policy is revealed.

In the postglobalized world, information and communication technology (ICT) has been considered a key driver of human development. The world is reshaping from resource-based economy to knowledge-based economy after rapid growth of ICT. ICT can be considered as an umbrella that incorporates any communication device such as radio, television, cell phones, computer and network hardware, satellite systems etc., and also various services and appliance with them such as video conferencing and distance learning (Akarowhe, 2017). ICT is a technological system that is able to meet the gap of formal communication system and ultimately affects the level of standard of living. Human development can be defined as a process of enlarging people's freedoms and opportunities and improving their well-being. Whereas, human development index (HDI) is a statistical tool used to measure a country's human development based on the health of people, their level of education attainment, and level of income. The present chapter tries to find out the impact of ICT on human development for selected high HDI and medium HDI countries during the period 2001–2018. Applying panel data technique result shows that ICT has a positive and significant impact on human development.