Asia & the Pacific

THE YEAR before he died in 2017, one of America’s leading twentieth-century strategic thinkers, Zbigniew Brzezinski, sounded an alarm. In analyzing threats to American security, “the most dangerous scenario,” he warned, would be “a grand coalition of China and Russia…united not by ideology but by complementary grievances.” This coalition “would be reminiscent in scale and scope of the challenge once posed by the Sino-Soviet bloc, though this time China would likely be the leader and Russia the follower.”

The authors analyze and contrast how China and India mobilized financial resources to build domestic technological innovation systems in wind energy.

International trade has become the fastest growing driver of global carbon emissions, with large quantities of emissions embodied in exports from emerging economies. International trade with emerging economies poses a dilemma for climate and trade policy: to the extent emerging markets have comparative advantages in manufacturing, such trade is economically efficient and desirable. However, if carbon-intensive manufacturing in emerging countries such as China entails drastically more CO2 emissions than making the same product elsewhere, then trade increases global CO2 emissions.

China is the world's largest emitter of carbon dioxide, accounting for one-quarter of the global total in 2013. Although the country has successfully lowered the rate of emissions from industry in some cities through improved technology and energy-efficiency measures, rapid economic growth means that more emissions are being added than removed. Without mitigation, China's CO2 emissions will rise by more than 50% in the next 15 years.

Local acceptance of wind energy technology has become an important factor to consider when designing local and national wind energy technological innovation policies. Previous studies have investigated the factors that shape the local acceptance of wind power in high-income countries. However, to the best of the authors' knowledge, these factors had not been investigated in China. Utilizing a survey and quantitative analysis, the authors have identified the factors that are correlated with local acceptance of wind power in China.

The energy sector is increasingly facing water scarcity constraints in many regions around the globe, especially in China, where the unprecedented large-scale construction of coal-fired thermal power plants is taking place in its extremely arid northwest regions. As a response to water scarcity, air-cooled coal power plants have experienced dramatic diffusion in China since middle 2000s. By the end of 2012, air-cooled coal-fired thermal power plants in China amounted to 112 GW, making up 14% of China's thermal power generation capacity. But the water conservation benefit of air-cooled units is achieved at the cost of lower thermal efficiency and consequently higher carbon emissions intensity.

"An ambitious deal might also stimulate more demand for innovations in clean technologies, in which China is emerging as a global leader. But because of the UN's decision-making process, in which all its members have to agree on a new deal, Xi Jinping is in the powerful position of being able to commit to only as much emission reductions as fit his domestic policy agenda."

"...[U]ntil now, Beijing's response to unmet energy demand has focused primarily on securing resources overseas, and building infrastructure for imports. China now generates more electricity from imported coal than from nuclear, wind and solar combined. Without a strong, coordinated policy shift, the country will depend on fuel imports for most of its energy consumption by the time it becomes a developed country."

China's booming economy has brought increasing pressures on its water resources. The water scarcity problem in China is characterized by a mismatch between the spatial distributions of water resources, economic development and other primary factors of production, which leads to the separation of production and consumption of water-intensive products. In this paper, the authors quantify the scale and structure of virtual water trade and consumption-based water footprints at the provincial level in China based on a multi-regional input–output model.