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Abstract: Beijing’s mountainous areas have an important ecological significance because they are ecological conservation and water source protection areas of Beijing. The impact of precipitation on the vegetation coverage of Beijing’s mountainous areas is qualitatively analyzed using multi-temporal Landsat images obtained during the last 20 years. Firstly, the influence of external factors, such as phenology and relative radiometric correction, on the normalized difference vegetation index (NDVI) are removed by the normalization of remote sensing images for different periods. Then, the vegetation coverage is calculated using the method of the dimidiate pixel model. Finally, based on that, the relationship between precipitation in different seasons and change of vegetation coverage is discussed. The results indicate that the mean vegetation coverage has the same change trends with winter and summer precipitation, but an opposite change trend with spring precipitation. The paper provides a theoretical basis and data support for further research on driving models of natural vegetation restoration in Beijing’s mountainous areas. [Copyright &y& Elsevier]

Abstract: The citizen''s environmental behaviours will directly affect the urban ecological environment construction. In order to provide the references for construction of ecological city in Beijing, this paper takes the citizen''s environmental behaviours in Beijing as a breakthrough point to analyze the status of citizen''s environmental behaviours and research their influence factors by constructing a structural equation model with the sampling survey data. [Copyright &y& Elsevier]

Renewable energy (RE) is strategically important to achieve sustainability. Its development in China, however, is clearly imbalanced across regions. The uneven distribution of natural resources, financial resources and other factors across this country has brought serious challenges to the policymakers. It is thus important to give a comprehensive evaluation of China's regional RE development. To do so, this paper introduces a multidimensional approach and establishes a quantitative evaluation framework. Based on the existing literature, five dimensions of factors have been chosen for the framwork: economic foundation, institutions, technological development potential, energy security and environmental protection, and current status of the RE sector. A dynamic principal component analysis technique is applied to data from 29 provinces between 2008 and 2014. The results demonstrate large variations in RE development across provinces in China. More economically developed regions, such as Beijing, Shanghai, and Guangdong, have maintained a higher ranking and have clear advantages in almost all dimensions. Policy implications and recommendations for more balanced development across China are drawn from the empirical results. This approach can also be extended to investigate similar issues in other countries. • A five-dimensional index is proposed to quantify renewable energy (RE) development in China. • RE development performance in China has improved over time. • Disparities in RE development across regions have become smaller. • The institutional dimension is a challenging segment in RE development. • Beijing and Shanghai have the highest level of RE development. [ABSTRACT FROM AUTHOR]