Urban Transportation, Land Use, Air Quality, and Health

2018 Feb 12

Q&A Session: China's Environmental Challenges 2018: Summer Undergraduate Research Assistantships in China

5:00pm to 6:00pm


Pierce Hall 100F, 29 Oxford Street, Cambridge

Interested in researching in China this summer? Join Harvard-China Project staff and a participating Tsinghua University professor to learn more about our research assistantships opportunity.

The Harvard-China Project on Energy, Economy and Environment will provide generous financial support for six Harvard undergraduates to spend the summer in China conducting research on China’s energy and environmental future under the guidance of an English-speaking professor at a leading university, from June 15 to August 16, 2018....

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2017 Nov 28

Film Screening of "Plastic China" and Q&A with Director WANG Jiuliang

6:30pm to 8:45pm


CGIS South, Tsai Auditorium, 1730 Cambridge Street, Cambridge, MA

plastic china partial poster

After the screening, Director WANG Jiuliang will attend via Skype for a Q&A with the audience moderated by Professor ZHANG Ling of Boston College and the Fairbank Center for Chinese Studies. The discussion will be interpreted by Canaan Morse, a Ph.D. candidate in Chinese Literature at Harvard. ... Read more about Film Screening of "Plastic China" and Q&A with Director WANG Jiuliang

MEP meeting

High-Level Meetings with Ministers Xie and Li

August 30, 2017

On August 4, China’s lead official on climate change, Minister XIE Zhenhua, hosted a research and policy consultation with Profs. Mike McELROY, Steve WOFSY, executive director Chris NIELSEN, and Project alumni Dr. ZHANG Hongjun (Holland & Knight, LLP) and Prof. LU Xi (Tsinghua University) at his offices in Beijing. Discussion topics included the state of U.S.-China engagement on climate and the growing role of subnational governments, disparate regional capacities for carbon control within China... Read more about High-Level Meetings with Ministers Xie and Li

Tao Song, Jianming Cai, Teresa Chahine, and Yu Deng. 2013. “Urban metabolism model based on the emergy theory: A case study of 31 Chinese cities.” Food, Agriculture and Environment, 11, 3&4, Pp. 2353-2361. Publisher's VersionAbstract

Urban systems, with the overall fluxes of energy, water, material, and wastes, can be modeled with a range of metabolic processes. To quantify the urban metabolism, we use the “emergy” assessment method (all materials and energy are transformed to solar energy equivalents) and then present a group of urban metabolic indicators, which quantify urban metabolic balance, capacity, and outputs to assess a city’s metabolic efficiencies. In this paper, we use 31 Chinese cities as a sample to illustrate how the model can be operated to evaluate the urban metabolism by emergy analysis. Our results indicate that metropolises and coastal cities were more metabolically efficient with higher metabolic balance, capacities, and outputs; but with more external dependency on imported resources. Central and western cities had lower metabolic efficiencies, with a high ratio of non-renewable emergy reliance. Policy implications highlight the need for renewable energy sources and improved management of imported services, goods, and fuels to achieve higher urban resilience and sustainability.

Yu Deng, Shenghe Liu, Jianming Cai, Xi Lu, and Chris P Nielsen. 2015. “Spatial pattern and evolution of Chinese provincial population: Methods and empirical study.” Journal of Geographical Sciences, 25, 12, Pp. 1507-1520. Publisher's VersionAbstract

China has been experiencing an unprecedented urbanization process. In 2011, China’s urban population reached 691 million with an urbanization rate of 51.27%. Urbanization level is expected to increase to 70% in China in 2030, reflecting the projection that nearly 300 million people would migrate from rural areas to urban areas over this period. At the same time, the total fertility rate of China’s population is declining due to the combined effect of economic growth, environmental carrying capacity, and modern social consciousness. The Chinese government has loosened its “one-child policy” gradually by allowing childbearing couples to have the second child as long as either of them is from a one-child family. In such rapidly developing country, the natural growth and spatial migration will consistently reshape spatial pattern of population. An accurate prediction of the future spatial pattern of population and its evolution trend are critical to key policy-making processes and spatial planning in China including urbanization, land use development, ecological conservation and environmental protection. In this paper, a top-down method is developed to project the spatial distribution of China’s future population with considerations of both natural population growth at provincial level and the provincial migration from 2010 to 2050. Building on this, the spatial pattern and evolution trend of Chinese provincial population are analyzed. The results suggested that the overall spatial pattern of Chinese population will be unlikely changed in next four decades, with the east area having the highest population density and followed by central area, northeast and west area. Four provinces in the east, Shanghai, Beijing, Tianjin and Jiangsu, will remain the top in terms of population density in China, and Xinjiang, Qinghai and Tibet will continue to have the lowest density of population. We introduced an index system to classify the Chinese provinces into three categories in terms of provincial population densities: Fast Changing Populated Region (FCPR), Low Changing Populated Region (LCPR) and Inactive Populated Region (IPR). In the FCPR, China’s population is projected to continue to concentrate in net immigration leading type (NILT) area where receives nearly 99% of new accumulated floating population. Population densities of Shanghai, Beijing, Zhejiang will peak in 2030, while the population density in Guangdong will keep increasing until 2035. Net emigration leading type (NELT) area will account for 75% of emigration population, including Henan, Anhui, Chongqing and Hubei. Natural growth will play a dominant role in natural growth leading type area, such as Liaoning and Shandong, because there will be few emigration population. Due to the large amount of moving-out labors and gradually declining fertility rates, population density of the LCPR region exhibits a downward trend, except for Fujian and Hainan. The majority of the western provinces will be likely to remain relatively low population density, with an average value of no more than 100 persons per km2.