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Full Text available. As some of the most rapidly urbanizing places in the world, China's cities have a unique relationship with global climate change. The economies found in Chinese cities are extremely resource and energy intensive; as a result, they produce significant levels of greenhouse gas (GHG) emissions. This article provides comprehensive and detailed emissions inventories for Shanghai, Beijing, and Tianjin, which were found to be responsible for 12.8, 10.7, and 11.9 tonnes of carbon dioxide equivalent per capita (t CO2-eq/capita), respectively, in 2006. The majority of emissions were from electricity production, heating and industrial fuel use, and ground transportation. The prevalence of coal in the energy supply mix (including up to 98% in Tianjin) was a fundamental cause of high energy emissions. Non-energy emissions from industrial processes were also significant, including emissions from cement and steel production. The GHG inventories for Shanghai, Beijing, and Tianjin point to sectors requiring the most attention in terms of low-carbon growth. Compared to ten other global cities, Chinese cities are among the highest per capita emitters, alluding to the important challenge China faces of reducing emissions while improving the quality of life for urban residents. Accordingly, this article concludes with a discussion of the opportunities and issues concerning low-carbon growth in China, including the potential for renewable energy and the difficulties associated with emissions relocation and policy adoption.

Hoversten, Shanna, "Electric Vehicles: Market Opportunities in China" (2010). CMC Senior Theses. Paper 1. http://scholarship.claremont.edu/cmc_theses/1 Abstract Electric vehicles (EVs) offer an exciting opportunity in China both in terms of the potential to build a domestic manufacturing base and the potential to create a strong domestic market for the product. The Chinese nation stands to benefit from both supply-side and demand-side promotion due to the economic stimulus from EV manufacturing and export, the environmental benefits of reduced air pollution and reduced greenhouse gas emissions, and the energy security benefits of transitioning away from foreign oil dependence. The Chinese have several advantages when it comes to stimulating EV industry development and EV deployment, including: leadership in battery technology, great potential for cost competitiveness, an enormous and emerging number of new car buyers, and high level government support. Yet a number of challenges must be taken into account as well, including: shortfalls in overall automobile R&D spending, consumer concerns about Chinese cars' safety and reliability, enhancing the appeal of the Chinese brand, and heavy national infrastructure demands. This paper will seek to examine the opportunities and challenges associated with EV deployment in China and identify industry actions and policy measures to facilitate the process.

This blog contains information and ideas about the interrelationship of religion, nature and modernity with a focus on China. The underlying premises are that religious values and ideas are key resources for constructing a sustainable future for the human species, and that nowhere on the planet is this more important than China. China is the world's largest country by population, the second largest economy in real GDP terms, and the largest emitter of greenhouse gases.

Author: Zhou, Nan Publication Date: 05-15-2012 Publication Info: Lawrence Berkeley National Laboratory Texte intégral téléchargeable sur le site des archives ouvertes de l'Université de Californie : http://www.escholarship.org/uc/item/1sp9m82g Executive Summary "Local level actions and leadership are crucial for achieving national energy-saving or greenhouse gas emission (GHG) reduction targets. Local level actions can also assist in proving the effectiveness of new policies or initiatives by demonstrating them at a smaller scale. It is often also shown that innovative policies or practices can be relatively easily implemented at the local level because of the reduced scale and the possibility of exemption from some national legislative bureaucracy. Following success at the local level, the pilot policies or practices could be replicated to other localities or expanded to a national program. For example, China's Top-1000 Enterprise Program was drawn upon the successful experience from a demonstration program implemented in two steel mills in Shandong province that was modeled after the voluntary agreements program in The Netherlands (Price et al. 2003)."

[ScienceDirect, via Biblio-SHS] Auteur : XiaoFang Sun, TianXiangYue, ZeMeng Fan Paru dans : Procedia Environmental Sciences, Volume 13, 2012, Pages 590-597 18th Biennial ISEM Conference on Ecological Modelling for Global Change and Coupled Human and Natural System Abstract Land use changes affect many aspects of Earth System functioning, for example in impacting global carbon cycle, contributing to climate change, or increasing soil erosion. The simulation of land use change is important in environmental impact assessment and land use planning. We assessed the land use scenarios of China in the next 100 years based on the SMLC (surface modelling of land cover change) model and Dyna-CLUE (dynamic conversion of land use and its effects) model. Three SRES scenarios were evaluated: Global Economy (A1FI): lean government, strong globalization; Continental Markets (A2a): lean government, regional culture and economic development; Regional communities (B2a): much government intervention, regional cultural and economic development. Ten land cover types were simulated, which are cultivated land, woodland, grassland, built-up land, water area, wetland, nival area, desert, bare rock and desertification land. The SMLC model was used to calculate changes in area for each land use types in the future at country level while the spatially explicit land use model Dyna-CLUE was used to simulate land use pattern at 2 km2 resolution based on the country level areas demands for each land cover type. The results show that the cultivated land would decrease in all of the three scenarios, while in the A2a scenario, the cultivated land would decrease with the lowest rate because of the high population growth, high level of market protection and low agricultural efficiency; in the B2a scenario, it would decrease with the highest rate caused by the decreased population numbers and increased crop productivity. The nival area would decrease with the highest rate in the A1FI