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Macroscopic grasp of agricultural carbon emissions status, spatial-temporal characteristics as well as driving factors are the basic premise in further research on China's agricultural carbon emissions. Based on 23 kinds of major carbon emission sources including agricultural materials inputs, paddy field, soil and livestock breeding, this paper firstly calculated agricultural carbon emissions from 1995 to 2010, as well as 31 provinces in 2010 in China We then made a decomposed analysis to the driving factors of carbon emissions with LMDI model. The results show: (1) The amount of agricultural carbon emissions is 291.1691 million tons in 2010. Compared with 249.5239 million tons in 1995, it increased 16.69%, in which, agricultural materials inputs, paddy field, soil, enteric fermentation and manure management accounted for 33.59%, 22.03%, 7.46%, 17.53% and 19.39% of total agricultural carbon emissions respectively. Although exist ups and downs, it shows an overall trend of cyclical rise. (2) There is obvious difference among regions: the amount of agricultural carbon emissions from top ten zones account for 56.68%, while 9.84 % from last 10 zones. The traditional agricultural provinces, especially the major crop production areas are the main source regions. Based on the differences of carbon emission rations, 31 provinces are divided into five types, namely agricultural materials dominant type, paddy field dominant type, enteric fermentation dominant type, composite factors dominant type and balanced type. The agricultural carbon emissions intensity in west of China is the highest, followed by the central region, and the east zone is the lowest. (3) Compared with 1995, efficiency, labor and structure factors cut down carbon emissions by 65.78%, 27.51% and 3.19% respectively; while economy factor increase carbon emissions by 113.16%.

Environmental pollution and resource depletion pressures have caused manufacturers in developing countries such as China to improve environmental performance. In response, thoughtful and innovative enterprises have implemented emergent environmental management practices including elements of green supply chain management (GSCM). Diffusion of these practices to enterprises occurs from internal and external influences. Given that GSCM practices can be viewed as management innovations, this article applies the seminal Bass model to analyse GSCM practices diffusion. Specifically, the Bass model for diffusion is used to evaluate data for ISO 14001 certification and eco-labelling practices in China. In this investigation, we evaluate the relative roles of innovation and imitation drivers for diffusion of these GSCM practices. We find that even though innovation is not insignificant, imitation plays a much larger role for these specific GSCM practices diffusions amongst Chinese enterprises. Managerial and policy implications of these and other findings are also discussed.

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