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The changing population age structure has a significant influence on the economy, society, and numerous other aspects of a country. This paper has innovatively applied the method of compositional data forecasting for the prediction of population age changes of the young (aged 0–14), the middle-aged (aged 15–64), and the elderly (aged older than 65) in China, India, and Vietnam by 2030 based on data from 1960 to 2016. To select the best-suited forecasting model, an array of data transformation approaches and forecasting models have been extensively employed, and a large number of comparisons have been made between the aforementioned methods. The best-suited model for each country is identified considering the root mean squared error and mean absolute percent error values from the compositional data. As noted in this study, first and foremost, it is predicted that by the year 2030, China will witness the disappearance of population dividend and get mired in an aging problem far more severe than that of India or Vietnam. Second, Vietnam’s trend of change in population age structure resembles that of China, but the country will sustain its good health as a whole. Finally, the working population of India demonstrates a strong rising trend, indicating that the age structure of the Indian population still remains relatively “young”. Meanwhile, the continuous rise in the proportion of elderly population and the gradual leveling off growth of the young population have nevertheless become serious problems in the world. The present paper attempts to offer crucial insights into the Asian population size, labor market and urbanization, and, moreover, provides suggestions for a sustainable global demographic development. [ABSTRACT FROM AUTHOR]

Decomposing the GDP growth from 1981 to 2004, this paper finds that innovation capacity has contributed significantly to the economic growth of China and India, especially in the 1990 s. Outputs of the national innovation system, measured by patents and high-tech/service exports, demonstrate the considerable progress China and India have made in innovation capacity. The enhanced innovation capacity of China and India is primarily due to their heavy investment in the inputs of innovation system, i.e., R&D expenditure and R&D personnel, in recent decades. This paper emphasizes the role that the governments have played in promoting innovation capacity and their contribution to economic development. Both governments have transformed their national innovation systems through linking the science sector with the business sector, providing incentives for innovation activities, and balancing import of technology and indigenous R&D effort. Using case studies of domestic biotech firms in China and India, this paper also offers micro-level insights on innovation capacity and economic development: (1) innovation capacity has become essential for domestic firms' market success and (2) global institutional factors and national government policies on innovation have considerable influence on the choice of innovation at the firm level, i.e., to conduct indigenous R&D or to import foreign technology. [ABSTRACT FROM AUTHOR]

The recent growth pattern of India is set in the context of the parallel experience of China, the experience of poverty reduction is reviewed, and a number of papers illuminating India's development are introduced. [ABSTRACT FROM AUTHOR]

Understanding the causality between energy consumption, carbon emissions and economic growth is helpful for policymakers to formulate energy, environmental and economic policies. For the first time, based on nonlinear dynamics, this paper employs multispatial convergent cross mapping (CCM) to revisit the energy-carbon-economy causation for China, India and the G7 countries using both aggregate data and per capita data. The findings indicate that there are significant differences between developing countries and developed countries. A bidirectional nexus between energy consumption, carbon emissions and economic growth is found in China and India, but various causal relationships are identified in the G7 countries, including bidirectional, unidirectional and neutral nexus. The results confirm that the decoupling phenomenon is common in most G7 countries. By leveraging a variety of samples and a new approach, this study provides new evidence for policy authorities to formulate country-specific policies to obtain better environmental quality while achieving sustainable economic growth. [ABSTRACT FROM AUTHOR]

In this paper we discuss relationship between export diversity and economic performance, focusing on Brazil, China, India and South Africa (BCIS). Using time data on exports over the period 1962-2000 and Applied General Equilibrium (AGE) models for each country, we note the similarities as well as differences in the patterns of diversification in these countries. We find evidence of a U-shape relationship between per capita income and export specialization in at least China and South Africa, and given that the results from Granger causality testing are inconclusive and not robust with regards to export diversification measures, some preliminary evidence from the results suggest that export diversification Granger causes GDP per capita in Brazil, China and South Africa, but not in India, where it is rather GDP per capita changes that are driving export diversification. From AGE modeling we find that South Africa differs from the other economies in that it is the only case where export diversification has an unambiguously positive impact on economic development while in contrast in Brazil, China and India, it is rather export specialization that is preferred. We show that the manner in which export diversification is obtained may be important: if it is obtained with less of a reduction in traditional exports, the impacts are better (less negative). [ABSTRACT FROM AUTHOR]

Background: Expenditure on medications for highly prevalent chronic conditions such as diabetes mellitus (DM) can result in financial impoverishment. People in developing countries and in low socioeconomic status groups are particularly vulnerable. China and India currently hold the world's two largest DM populations. Both countries are ageing and undergoing rapid economic development, urbanisation and social change. This paper assesses the determinants of DM medication use and catastrophic expenditure on medications in older adults with DM in China and India.Methods: Using national standardised data collected from adults aged 50 years and above with DM (self-reported) in China (N = 773) and India (N = 463), multivariable logistic regression describes: 1) association between respondents' socio-demographic and health behavioural characteristics and the dependent variable, DM medication use, and 2) association between DM medication use (independent variable) and household catastrophic expenditure on medications (dependent variable) (China: N = 630; India: N = 439). The data source is the World Health Organization (WHO) Study on global AGEing and adult health (SAGE) Wave 1 (2007-2010).Results: Prevalence of DM medication use was 87% in China and 71% in India. Multivariable analysis indicates that people reporting lifestyle modification were more likely to use DM medications in China (OR = 6.22) and India (OR = 8.45). Women were more likely to use DM medications in China (OR = 1.56). Respondents in poorer wealth quintiles in China were more likely to use DM medications whereas the reverse was true in India. Almost 17% of people with DM in China experienced catastrophic healthcare expenditure on medications compared with 7% in India. Diabetes medication use was not a statistically significant predictor of catastrophic healthcare expenditure on medications in either country, although the odds were 33% higher among DM medications users in China (OR = 1.33).Conclusions: The country comparison reflects major public policy differences underpinned by divergent political and ideological frameworks. The DM epidemic poses huge public health challenges for China and India. Ensuring equitable and affordable access to medications for DM is fundamental for healthy ageing cohorts, and is consistent with the global agenda for universal healthcare coverage. [ABSTRACT FROM AUTHOR]

Objective: This paper shall first investigate the informatics areas and applications of the four Traditional Medicine systems - Traditional Chinese Medicine (TCM), Ayurveda, Traditional Arabic and Islamic Medicine and Traditional Malay Medicine. Then, this paper shall examine the national informatics infrastructure initiatives in the four respective countries that support the Traditional Medicine systems. Challenges of implementing informatics in Traditional Medicine Systems shall also be discussed.Methods: The literature was sourced from four databases: Ebsco Host, IEEE Explore, Proquest and Google scholar. The search term used was "Traditional Medicine", "informatics", "informatics infrastructure", "traditional Chinese medicine", "Ayurveda", "traditional Arabic and Islamic medicine", and "traditional malay medicine". A combination of the search terms above was also executed to enhance the searching process. A search was also conducted in Google to identify miscellaneous books, publications, and organization websites using the same terms.Results: Amongst major advancements in TCM and Ayurveda are bioinformatics, development of Traditional Medicine databases for decision system support, data mining and image processing. Traditional Chinese Medicine differentiates itself from other Traditional Medicine systems with documented ISO Standards to support the standardization of TCM. Informatics applications in Traditional Arabic and Islamic Medicine are mostly ehealth applications that focus more on spiritual healing, Islamic obligations and prophetic traditions. Literature regarding development of health informatics to support Traditional Malay Medicine is still insufficient. Major informatics infrastructure that is common in China and India are automated insurance payment systems for Traditional Medicine treatment. National informatics infrastructure in Middle East and Malaysia mainly cater for modern medicine. Other infrastructure such as telemedicine and hospital information systems focus its implementation in modern medicine or are not implemented and strategized at a national level to support Traditional Medicine.Conclusion: Informatics may not be able to address all the emerging areas of Traditional Medicine because the concepts in Traditional Medicine system of medicine are different from modern system, though the aim may be same, i.e., to give relief to the patient. Thus, there is a need to synthesize Traditional Medicine systems and informatics with involvements from modern system of medicine. Future research works may include filling the gaps of informatics areas and integrate national informatics infrastructure with established Traditional Medicine systems. [ABSTRACT FROM AUTHOR]

Copyright of Acta Scientiarum: Human & Social Sciences is the property of Universidade Estadual de Maringa and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The article presents a study which investigates the implications of the border carbon adjustments (BCAs) to the bilateral trade flow of the U.S. to China and India. It says that the economic and the environmental impacts of the imposed trade policies are simulated using the Global Trade Analysis Project (GTAP)-E model. Furthermore, it mentions that the exploration of the impacts of the border adjustments is applicable to the climate change policy in all countries.

Copyright of Revista de la Maestría en Derecho Económico is the property of Pontificia Universidad Javeriana and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

"Urban concentration (or primacy) and inequality (in size distribution of income) are expected to follow bell shaped curves through the development process. Spatial convergence (through investments in transportation etc.) is expected to precede income convergence. Using longitudinal data from six Asian countries (Japan, Taiwan, Malaysia, the Philippines, Sri Lanka and India) this paper shows that (i) the bell shapes for urban concentration and income inequality generally hold, and (ii) the temporal relationship between the curve peaks is determined by geographical factors (for urban concentration); income inequality is seen to be more policy amenable.", (excerpt)

Modern growth theory suggests that more than three-quarters of growth since 1950 reflects rising educational attainment and research intensity. As these transition dynamics fade, US economic growth is likely to slow at some point. However, the rise of China, India, and other emerging economies may allow another few decades of rapid growth in world researchers. Finally, and more speculatively, the shape of the idea production function introduces a fundamental uncertainty into the future of growth. For example, the possibility that artificial intelligence will allow machines to replace workers to some extent could lead to higher growth in the future. [ABSTRACT FROM AUTHOR]

Despite the tremendous economic potential of the Brazilian, Russian, Indian, and Chinese (BRIC) economies, few studies have compared technological innovation in these countries. This study investigates three main issues related to technological innovation in BRICs: 1) indicators of technological innovation were evaluated and used to compare capability of technological innovation between the four countries; 2) differences in innovative configurations were mapped based on constructs of "fundamental vs. applied innovation "and "incremental vs. radical innovation "; 3) the absolute and relative innovative strengths of these four countries were examined in 31 different technological fields. The empirical findings are based on analysis of a patent and citation data set comprising all utility patents granted by the U.S. Patent and Trademark Office to BRIC inventors from 1976 to 2006. These findings elucidate the comparative development of technological innovation in BRIC countries. [ABSTRACT FROM AUTHOR]

This article argues that the long-term sustainability of the trilateral partnership established in 2003 between India, Brazil, and South Africa (IBSA) rests on a more conscious engagement with their regional partners. The construction of a strong regional leadership role for IBSA based on its members' strategic positions in South Asia, South America, and southern Africa is the proper common ground to legitimize a diplomatic partnership between the IBSA states. This is even more pressing as China is actively competing for markets and influence with the IBSA trio within their respective regions, particularly in Africa. The paradox, though, is that while Northern powers have welcomed the regional leadership role of IBSA's members, most of their neighbors are not convinced of the actual intentions of New Delhi, Brasilia, and Pretoria. As a result, leadership within IBSA is defined in global terms as a claim to lead the developing world. At the regional level, however, IBSAclaim for leadership is less clear, less acceptable, and therefore remains constrained. [ABSTRACT FROM AUTHOR]

We compare economic efficiencies in Brazil, India, and China, where economic efficiency measures the gap between potential and actual output for a given input combination and technological factor. We use stochastic production frontier models to measure the contributions of factors of production and technology to growth and estimate non-positive error terms that capture production inefficiencies in each country. The results suggest that China and India had relatively inefficient production in the early 1980s but have since improved production efficiency substantially. In the same period, production efficiency in Brazil has lagged those of China and India. The gap between Brazil's production efficiency and those of its Asian peers has narrowed in recent years. However, production remains more efficient in China and India, supporting more rapid growth in these countries relative to Brazil. [ABSTRACT FROM AUTHOR]

This section presents readings that may be especially useful to teachers of undergraduate economics, as well as other articles that are of broader cultural interest. The Brookings Institution has published the latest in the Agenda for the Nation series. It is edited by Henry J. Aaron, James M. Lindsay and Pietro S. Nivola and contains many informative articles on domestic and foreign policy. In 'Can India Overtake China,' Yasheng Huang and Tarun Khanna argue that China and India have pursued radically different development strategies. India is not outperforming China overall, but it is doing better in certain key areas. That success may enable it to catch up with and perhaps even overtake China. The October 4, 2003 issue of 'The Economist' has an obituary for Franco Modigliani titled 'An adventurous economist' and subtitled, 'Franco Modigliani, who died aged 85 on September 25, 2003 and left a rich intellectual bequest.' It concludes that one assumption of his life-cycle hypothesis was that people saved most to take care of themselves, rather than their heirs. That seems to have explained the real behavior of people quite well. Yet the theory fits Modigliani's own life extremely poorly.

ABSTRACT. Technological breakthroughs, macroeconomic pressures, and advances in economic thought have led to a redefinition of the role of the state from producer to arbiter among private interests. Still, the details of such a redefinition vary among countries. We aim to understand the reasons for such differences and draw their policy implications through a case study of the electricity industry in Brazil, China, and India. Over the past decade, these countries have sought to restructure their state-owned electric utilities. The restructuring effort has led to different outcomes in the three countries. We argue that ideology, institutional arrangements, and the behavior of interest groups lie at the heart of such differences. [ABSTRACT FROM AUTHOR]

This article presents a comparative economic history of China and India and their response to economic challenge. Together, the population of the two countries comprises one-third of the world population. Today the two countries are economically in an underdeveloped stage, with low per capita income but with several impressive scientific and technological achievements. Many of the facts and issues about these two countries are gigantic, that is, population, size, history, and even the problems and complexities. But China and India did not respond to the forces of the industrial revolution that in Europe transformed nations from poor peasant societies to modern developed ones. During the course of a century and a half they failed to exploit the epochal innovations of modern economic growth. These two then-advanced nations failed to meet the challenge of modern economic growth. At the same time, both Governments did not have a wide consensus supporting them, and hence, even in the raising of resources to meet administrative expenses, coercion had to be exercised. By 1950, these factors led to a major transfer of power in the two countries. For different reasons, but with the same result, the contact of China and India with the West remains a tragic case of missed opportunity.