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The purpose of this chapter is to study the essence and specifics of the process of establishment and development of information economy in Asian countries and to create its conceptual model.

The process of establishment and development of information economy is studied based on the indicators that were systematized according to the basic elements of information economy. The indicators of technosphere (technological support) are the information and communication technologies (ICT) development index according to the International Telecommunication Union and labor efficiency in the ICT spheres according to the OECD. The indicators of sociosphere (social core) are the Internet level of society according to the World Wide Web Foundation and employment of specialists in the ICT spheres according to the OECD. The indicators of economic sphere (economic pinnacle) are added value of the ICT spheres and contribution of investments to the ICT in the growth of GDP according to the OECD, as well as the Index of Digital Economy according to digital single market. The indicators of the target result (efficiency of information economy) are expenditures for innovations in the spheres of the ICT according to the OECD, share of high-tech export according to the World Bank, and the index of innovational development according to the INSEAD, WIPO, and Cornell University. The research is performed by the leading countries (as per the socio-economic development index) of the Asian regions – China, South Korea, and Japan – on global economic system (according to 2017 data).

The authors concluded that the leading countries of Asia made progress in information economy’s formation, and the process in these countries has been unique, but common peculiarities allowed defining the Asian model of information economy.

It is recommended to use the offered conceptual model for studying the process of information economy’s formation in Asian countries and its comparison with the process in other regions of the world.

Historically, Asia was known for its history of ancient civilizations, philosophies and religions, performing arts and exotic lifestyles, and of course, spicy culinary specialties. The rest of the world made tremendous efforts to discover this land of charm and mysticism. Asia, however, was not known for its economic scores. In general, the Asian economies were preindustrialized, traditional, and agricultural. The share of gross domestic product (GDP) from the agricultural sector was relatively large as the industrial revolution had yet to reach Asia. People farmed with primitive indigenous tools and the marginal productivity of labor was low. Hence, the income of the individual farmer, man or woman, remained insignificant and poverty was the overall end product. As late as the 1970s, ranking economists questioned if Asia beyond Japan could ever industrialize (Krugman, 1994; Lau and Kim, 1994). The doubt is no more. The historic success of the import–export-led growth model in the context of Asia has been robustly explained (Klein, 1990). The world now marvels at the success of Asia's industrial revolution.

This paper identifies the new economic force regenerating the East Asian economies in the post‐crisis era. Based on the convergence of five main economic indexes, it reclassifies the ten East Asian entities into four tiers, and highlights the language similarities among the tiers. It also discusses the inter‐ and intra‐regional economic dynamics, and the implications on further regional trade/investment, financial cooperation and monetary integration, such as a possible unifying Asian currency.

The purpose of this paper is to investigate the macroeconomic determinants of foreign direct investment (FDI) for the top five South Asian economies, namely, Bangladesh, India, Pakistan, Sri Lanka, and Nepal, and to examine whether these factors are the same for each.

This study employs fully modified ordinary least squares and two-stage least squares estimation methods.

This study shows that South Asian economies have a number of FDI determinants in common. For example, market size and human capital are the two most common factors attracting FDI in each country (except for Nepal, which revealed a negative correlation between FDI and market size). Other factors, such as infrastructure, domestic investment, lending rates, exchange rates, inflation, financial stability/crisis, and stock turnover entered into regression with both positive and negative signs, thereby indicating that the underlying theories on FDI do not provide a clear prediction of the direction of the effect of a particular variable on FDI.

This paper studied the effects of demand-side factors on FDI. A comparative study of the supply-side factors may add further knowledge.

This paper provides evidence to show that the determinants of FDI are indeed country-specific. Thus, to design a suitable FDI policy, it would not be wise to solely rely on other economies’ FDI experiences.

This paper provides updated evidence on factors that are essential to promoting or deterring FDI in South Asian economies.

The purpose of this paper is to examine the nexus between Asian and the US short-term financing rates and compare them between pre- and post-Asian financial crisis.

The short-term financing rate is used in the estimation by employing two-stage cointegration test.

The result of the empirical study shows several outcomes; the short-term financing rates among the selected Asian countries are not highly correlated during pre-crisis period, but the rates become strongly associated during the post-crisis period. The US financing rate has significant influence on the Asian rate during both periods. Asian financing rates are not integrated by the influence of the USA, rather regional cooperation and financial initiatives lead the regional financing rate to be integrated.

The empirical finding of the study offers significant policy implications for strengthening regional economic bonding and developing the financial systems.

The introduction of the 22 member countries of the 4+10+2+6 model of the Asian economy is the immediate task. Japan, Korea, China, India, Indonesia, the Philippines, Brunei Darussalam, Malaysia, Singapore, Thailand, Vietnam, Cambodia, Laos, and Myanmar constitute the now-famous 4+10 model. Following the principle of inclusion, Mongolia, Chinese Taipei, Bangladesh, Bhutan, Nepal, Pakistan, the Maldives, and Sri Lanka, as they belong to the regional map of the continent of Asia, are the eight remaining member countries (see Chapter 1). An overview of Asia's 22 member continental economy the AE-22, with its 3.6 billion people (2006) who have made the region of Asia their home in a land area of 20.5 million km² should be welcome. To put these figures in perspective, the AE-22 comprises only 13.7 percent of the world's land area, but is home to over half the world's population. Tables 2.1–2.4, presented below, illustrate the various figures relating to population, land area, GDP, and GDP per capita of the member nations of the AE-22.

The four Asian tigers, Hong Kong, Singapore, South Korea and Taiwan (also called Four Dragons) experienced miraculous high growth rates in the pre-1990s period and rapidly transformed their economic status from less developed “basket cases” to developed high-income countries gaining entry to the rich OECD club of countries. These countries even in the post-1990s, barring few years, have continued to grow further and are an inspiring role model for the newly emerging economies. The purpose of this paper is to adduce certain trends in these countries since the 1990s and specifically examine role of human capital and knowledge building, productivity convergence and intra-regional trade in the Asian tigers’. The authors examine these in the context of India.

The paper in a simple descriptive yet analytical approach explores the relevance of above factors in the Indian context.

The study observed that India ranks far below the Asian tigers in the knowledge economy index (KEI). The results at the sub-national level showed large disparities across the states in knowledge economy reflecting country’s difficulties in catching up with other countries overall. Regarding labour productivity, the results show that India was moving away from the benchmark country until 1990 (pre-reform period) and started catching up particularly due to physical capital (not necessarily human capital) since 1995 onwards.

The study is unique due to several reasons. First, it contributes to the literature examining contemporaneous Asian tigers and Indian economies performance as not many studies exist in this area. Second, the study also builds a unique first ever KEI at the sub-national level for India and is, therefore, a contribution in this respect. Finally, the study also contributes to the literature on Indian economic development.

This paper aims to distill from both the Asian “miracle” and the “meltdown” since the Asian crisis, a generic East Asian business model which is changing in the context of globalisation, information communication technology, knowledge‐based economy, deregulation and emerging new competition.

The generic business model considers the creative and innovative nature of intellectual capital in a qualitative macroeconomic development model rather than a quantitative or econometric micro‐level business modeling for the firm or industry. Diverse and heterogeneous both within the whole of East Asia and distinguished as Northeast and Southeast Asia, the putative generic business model is further differentiated in terms of customised idiosyncratic models in more mature Northeast developmental states in Japan, Korea and Taiwan contrasted with Southeast “captured” developmental states as in Indonesia and Malaysia entrapped by ethnic politics.

City‐states Hong Kong and Singapore are exceptional because of their size and resultant globalised states. To each its own may be the conclusion in terms of customised national systems and models, but East Asian ethical and moral dimensions of integrity may generally offer a version moral capitalism of which is suited to global capitalism not of the brute Darwinist kind. In the final analysis, East Asia is increasingly exposed to the global marketplace, competition and globalisation backlash, such that some common denominator comes from DFI and MNCs from multicultural political economy dimensions.

The paper presents a putative East Asian business models.

The purpose of this study is to explore the relationship between government spending, public debt and the informal economy. In addition, this paper investigates the moderating role of public debt in government spending and the informal economy nexus.

By utilizing a data set spanning from 2000 to 2017 of 32 Asian economies, the study has employed the dynamic ordinary least squares (DOLS) and fully modified ordinary least squares (FMOLS). The study is also extended to consider the marginal effects of government spending on the informal economy at different degrees of public debt.

The results indicate that an increase in government spending and public debt leads to an expansion of the informal economy in the region. Interestingly, the positive effect of government spending on the informal economy will increase with a rise in public debt.

This study stresses the role of government spending and public debt on the informal economy in Asian nations. To the best of the authors' knowledge, this study pioneers to explore the moderating effect of public debt in the public spending-informal economy nexus.

This article investigates the long-run impact of remittance inflows on agricultural productivity (AGP) in emerging Asian economies (Bangladesh, Sri Lanka, Malaysia, India, Nepal, Philippines, Pakistan, and Vietnam), employing a panel dataset from 2000 to 2018.

This study initially applies cross-sectional dependence (CSD), second-generation unit root, Pedroni, and Westerlund panel co-integration techniques. Next, it uses the augmented mean group (AMG) and common correlated effect mean group (CCEMG) methods to investigate the long-term impact of remittance inflows on AGP while controlling for several other important determinants of agricultural growth, such as cultivated area, fertilizers, temperature change, credit, and labor force.

The empirical findings are as follows: The results first revealed the existence of CSD and long-term co-integration between AGP and its determinants. Second, remittance inflows significantly boosted AGP, indicating that remittance inflows played a crucial role in improving AGP. Third, global warming (changes in temperature) negatively impacts AGP. Finally, additional critical elements, for instance, cultivated area, fertilizers, credit, and labor force, positively affect AGP.

This study suggests that policymakers of emerging Asian economies should develop an exclusive remittance-receiving system and introduce remittance investment products to utilize foreign funds and mitigate agricultural production risks effectively.

This is the first empirical examination of the long-term impact of remittance flows on agricultural output in emerging Asian economies. This study utilized robust estimation methods for panel data sets, such as the Pedroni, Westerlund, AMG, and CCEMG tests.