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China and India are two major contributors to the growth of global energy demand. As energy is one central part of the geopolitics, the energy security for both countries get complicated by the political environment. The paper investigates the positions of China and India in the trading relationships with different regions of the world. The paper also examines recent events that affect the energy security of China and India. The conclusion is that during the past decade, China and India have diversified sources of energy, especially from the Middle East, though China demonstrates a higher level of diversification and occupies a less passive position in its trading relationships. Shale revolution, the US energy sanctions on Iran and Venezuela and the US-Chinese trade conflicts, can bring China, India and Russia closer to each other due to the shrinking market influence of Russia in Europe and the needs of India and China to further diversify import sources so that energy supplies will not be disrupted by political chaos. [ABSTRACT FROM AUTHOR]

China, India, and the USA are the world's biggest energy consumers and CO 2 emitters. Being the leading contributors to climate change, these economies are also at the core of environmental solutions. This paper investigates the causal relationship among solar and wind energy production, coal consumption, economic growth, and CO 2 emissions for these three countries. To do so, we use an advanced methodology in Machine Learning to verify the predictive causal linkages among variables. The Causal Direction from Dependency (D2C) algorithm set CO 2 emissions as the target variable. The obtained results were disaggregated and estimated in a supervised prediction model. The findings, confirmed by three different Machine Learning procedures, showed an interesting output. While a reduction in overall carbon emissions is predicted in China and the US (resulting from the intensive use of renewable sources of energy), India displays critical predictions of a rise in CO 2 emissions. This indicates that curbing CO 2 emissions cannot be achieved without conducting a comprehensive shift from fossil to renewable resources, although China and the U.S. present a more promising path to sustainability than India. Being an emerging renewable energy leader, India should further enhance the use of low-carbon sources in its power supply and limit its dependence on coal. • Renewable energies, coal consumption, economic growth, and CO 2 we examine. • We investigate the causal predicted relationship on China, India, and the USA. • An advanced methodology in Machine Learning is used. • India has a prediction of an increase in emissions of CO 2. • China and the U.S. present a more promising path to sustainability than India. [ABSTRACT FROM AUTHOR]

For several decades the leading wind energy nations were European, while China and India were mainly the recipients of technology transfer. This paper aims to explore the role technology transfer/cooperation from Europe played in shaping firm-level wind energy technologies in China and India and to discuss whether the recent technology cooperation between the Chinese, Indian, and European wind firms challenges the classical North–South technology cooperation paradigm. The research finds that firm-level technology transfer/cooperation shaped the leading wind energy technologies in China and to a lesser extent in India. The paper also finds that several trends towards South–North technology cooperation have been observed between China, India and Europe, such as South–North flows of capital, drivers for market access, and R&D leadership, while the origins of innovation (e.g. patents) seem to remain predominantly in the global North. The paper concludes that the technology cooperation between China, India, and Europe has become more multi-faceted and increasingly Southern-led. [ABSTRACT FROM AUTHOR]

In view of the climate emergency, it is necessary to model and forecast road transport emissions for implementing more effective climate policy. This paper fills an important research gap by quantifying the challenges, barriers and remedies of achieving road transport emission reduction and air quality improvement in developing countries. It contributes to the debate on top-down and bottom-up approaches to reconcile carbon and other transport related emissions. China and India are chosen as case studies. Using various official statistics and proxy variables, we estimate and compare the road transport carbon emissions of the two countries systematically from 2009 to 2020. Insights from detailed mode-specific estimations of the bottom-up approach are valuable for targeted policies and measures. An analysis of the major components of road transport carbon emissions points to strategies of promoting electric vehicles, reducing transport demand, accelerating modal shift to low-carbon modes, and cleaner electricity to achieve climate policy. [ABSTRACT FROM AUTHOR]

Individuals in developing countries often engage in paid and unpaid work till late in life due to low household savings and limited welfare provisions. Yet, physical disabilities associated with aging can limit their ability to work. While work can be beneficial for economic and psychological well-being, this paper investigates whether engagement in paid and unpaid work mediates the impact of physical disabilities on quality of life for older adults. We exploit the different levels of health services and social security in rural and urban China and India to examine the effect of public provisions in the process. We use nationally representative data of individuals aged 50 and above from the World Health Organization Study on Global Ageing and Adult Health Wave 1, conducted in 2008–10 in China and in 2007–08 in India. Using a causal mediation analysis framework, we find that paid work plays a minor role in mediating the effect of physical disabilities on quality of life in all societies, and the mediated effect is smaller in urban China than in other societies. Unpaid work is beneficial only in urban China, and it does not mediate the impact of physical disabilities on quality of life elsewhere. The findings indicate that promoting productive engagement alone, without improving basic public provisions, will have limited impact on improving quality of life of the aging population in developing countries. • In developing countries, both paid and unpaid work is common out of necessity. • Older adults bear a double burden of paid and unpaid work in rural China and India. • Productive aging has limited impact on quality of life in developing countries. • Impact of productive aging on quality of life varies with public provisions. • Physical disabilities associated with aging is less consequential in urban China. [ABSTRACT FROM AUTHOR]

• We put forward a more holistic theoretical model of information seeking practices in everyday life. • We extend the context to the Global South, where there is less research on mobile platforms. • We link the variation in everyday information seeking practices to different groups. • We show the relation between information divides and social changes in China and India. • We apply a theory of digital divides in everyday information practices to the Global South contexts. The internet is becoming a major source of everyday information, yet existing research often focuses on specific information seeking contexts such as health, climate change, news, or hobbies. In this paper, we put forward a more holistic theoretical model of information seeking practices in everyday life that combines the social phenomenological perspective of everyday life information seeking practices and the domestication framework. We extend the cultural context to the Global South countries, where there is less research on "mobile first" societies centred on emerging mobile platforms. Based on extensive and mixed-methods fieldwork in rural and industrial China about everyday information seeking practices, the paper goes beyond previous research about digital divides in internet access and internet literacy. Instead, it focuses on divides in everyday information seeking practices. We argue that new divides are emerging between those with more restricted everyday internet uses and those with broader and more diverse ones. We compare everyday information practices and divides in China with those in India and show how a theory of digital divides in everyday information seeking practices can be applied beyond both countries to the Global South. Such a theory can also contribute to the design of informatisation policies. [ABSTRACT FROM AUTHOR]

The past decades have seen planning and implementation of built infrastructure in all over the developed and developing world growing in large scales. This has been influenced by economic and population growths, urbanization and industrialization, which in turn have put increasing stress in provision of services. The paper reviews the policy dimensions of water infrastructure development and financing in the two largest economies at present, China and India, including planning, implementation and decision-making processes. Findings indicate that main challenges for infrastructure development have been limited sources of financing, but also policies and their implementation. The high levels of investment in water infrastructure in the two countries have been impressive, mainly in China. However, they still have not necessarily addressed efficiency over the long term, supported more inclusive and higher economic growth or improve social and environmental conditions in all cases. [ABSTRACT FROM AUTHOR]

Renewable energy has a critical role in limiting the greenhouse gas (GHG) emissions. This paper assesses the implication of aligning renewable energy deployment target with national emission reduction target for mitigation cost. The assessment methodology uses Asia-Pacific Integrated Assessment/computable general equilibrium (AIM/CGE) model to determine the mitigation cost in terms of GDP and welfare loss under alternative renewable targets in different climate-constrained scenarios. A range of country-specific emission constraints is taken to address the uncertainties related to global emission pathway and emission entitlement scheme. Comparative results show that China needs to increase its share of non-fossil fuel significantly in the primary energy mix to achieve the stringent emission reduction target compared to India. The mitigation cost in terms of economic and welfare loss can be reduced by increasing the penetration of the renewable energy to achieve the same emission reduction target. The modeling results show that coordinated national climate and renewable energy policies help to achieve the GHG emission reduction target in an efficient and cost-effective manner. [ABSTRACT FROM AUTHOR]

This paper presents a comparison of the changes in the energetic metabolic pattern of China and India, the two most populated countries in the world, with two economies undergoing an important economic transition. The comparison of the changes in the energetic metabolic pattern has the scope to characterize and explain a bifurcation in their evolutionary path in the recent years, using the Multi-Scale Integrated Analysis of Societal and Ecosystem Metabolism (MuSIASEM) approach. The analysis shows an impressive transformation of China׳s energy metabolism determined by the joining of the WTO in 2001. Since then, China became the largest factory of the world with a generalized capitalization of all sectors, especially the industrial sector, boosting economic labor productivity as well as total energy consumption. India, on the contrary, lags behind when considering these factors. Looking at changes in the household sector (energy metabolism associated with final consumption) in the case of China, the energetic metabolic rate (EMR) soared in the last decade, also thanks to a reduced growth of population, whereas in India it remained stagnant for the last 40 years. This analysis indicates a big challenge for India for the next decade. In the light of the data analyzed both countries will continue to require strong injections of technical capital requiring a continuous increase in their total energy consumption. When considering the size of these economies it is easy to guess that this may induce a dramatic increase in the price of energy, an event that at the moment will penalize much more the chance of a quick economic development of India. [ABSTRACT FROM AUTHOR]

Traditional Indian medicine is one of the oldest medical systems and remains popular worldwide. Traditional medicine systems in China and India have historical origins pertaining to mutual learning, reference, and development from medical theory to the drugs used. The exchange of traditional medicine between China and India began in the Qin and Han Dynasties (221 BC–220 AD), prospered in the Tang Dynasty (618–907 AD), and declined after the Song Dynasty (960–1279 AD). It was also directly related to the rise and fall of Buddhism. The traditional medicines of the two countries are highly complementary because of differences in geographical climate and the modernisation process of traditional medicine. This review aimed to understand the spread and development of traditional Indian medicine in China to further promote exchange and cooperation between China and India in the field of traditional medicine. We performed a systematic search of MEDLINE via PubMed, CNKI, Science Direct, Sci-Hub, and other databases using the terms 'traditional Indian medicine' or 'Indian medicine' or 'Ayurveda' or 'Yoga' or 'Unani', and limiting the search to articles published between 1958 and 2019. We analysed the sources, publication date, type, and topic of the retrieved articles/studies. Based on the results of research on traditional Indian medicine carried out by Chinese scholars, 518 academic papers and 60 classic works published in China and abroad were collected. The results showed the following. First, Chinese scholars have systematically investigated traditional Indian medicine including its composition, management, and education; the scale of medicinal and pharmaceutical plants; protective measures of intellectual property rights of traditional medicine; and international promotion of Yoga. Second, studies have examined the development status of traditional Indian medicine in China including the spread of Yoga in the country and the industrial scale of, education in, existing problems in, and clinical research on Yoga. In addition, Chinese scholars conducted research on and the translation of classic works and terms of Ayurveda, and studied the theory, treatment, and medicine thereof. Third, the historical exchange and trading status of traditional medicine between India and China have been discussed, including the exchange of traditional medicine between the two countries, effect of traditional Indian medicine on Chinese Buddhism, and minority medicine and trade in medicinal materials between the two countries. India attaches great importance to the management of, education in, and industry of traditional medicine, and has made various efforts to protect intellectual property rights. Indian Yoga is very popular in China, and Chinese scholars have conducted some clinical research thereon. However, regulatory systems and legislation for Yoga are lacking in China. At present, traditional Chinese medicine scholars have an enhanced understanding of the term Yoga and less knowledge of the terms Ayurveda, Siddha, Unani, and similar concepts. We suggest that Chinese scholars further study the classic works, basic theories, treatment of clinical diseases, medicinal materials, and prescriptions compounding traditional Indian medicine. The results of this study highlight directions for Chinese scholars to pursue in further studying traditional Indian medicine comprehensively, and will help promote exchange and cooperation between China and India in the field of traditional medicine. [Display omitted] [ABSTRACT FROM AUTHOR]

This paper contributes to the existing literature by investigating the impact of oil prices on real exchange rates in China and India. We employ the non-linear, autoregressive-distributed lag model advanced by Shin et al. (2014), which allows both short-run and long-run asymmetry pass-through to a variable of interest. Oil prices and exchange rates are frequently found to be noisy. In order to detect the accurate relationship between oil prices and exchange rates, the maximum overlap, discrete-wavelet transformation is used to remove noise from the original series. The dynamic relationship between the original and de-noised series is compared. Our empirical findings suggest only long-run asymmetric effects of oil prices on exchange rates for both countries; however, after time-series noise removal, the asymmetric long-run effect becomes symmetric for India. Policy implications also are included. [ABSTRACT FROM AUTHOR]