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Abstract: At present there is the different level in China''s circular economy development. To better measure the level of regional circular economy development, this paper builds the evaluation system of regional circular economy development, reflected the characteristic of resources recycling specially, and put forward the Fuzzy Comprehensive Evaluation Method to analysis circular economy development level in single region and Comparison Evaluation Method to analysis circular economy development level in different regions, so that enhance the evaluate ability in evaluation model and evaluation method of circular economy developing level. On this basis, this paper makes the empirical study on regional differences evaluation in circular economy development level through three typical provinces, Jiangsu, Heilongjiang, Qinghai Province. [Copyright &y& Elsevier]

Abstract: The paper applies Environmental Kuznets Curve theory to an empirical study of the correlation among Suzhou''s waste disposal, economic growth and trade growth. The paper arrives at the conclusion that Suzhou''s environment may continue to worsen. To sustain its trade growth, Suzhou should optimize its export mix, promote technological innovation and implement industrial restructuring in order that a balance should be achieved between economic growth and environment. [Copyright &y& Elsevier]

Abstract: Based on the literature research, this paper establishes a conceptual model of the environmental responsibility affected urban residential housing energy saving investment behavior, and taking Xuzhou as an example, through the 212 valid samples, using the structural equation model, this paper does some inspection and correction for the conceptual model. Results show that the stronger the environmental responsibility is, the stronger the energy-saving behavior intention, and the stronger the energy-saving behavior intention is, the stronger the behavior of residence energy-saving investment, and the environmental responsibility has a indirect positive effect on the behavior of residence energy saving investment via the energy-saving behavior intention, but it can’t affect the behavior of residence energy saving investment directly. The ownership of the house, the family structure and the education level has some differences in character variations for urban residential housing energy saving investment behavior, and the effect of other demographic variables is non-significant. [Copyright &y& Elsevier]

Abstract: In this paper, a quantitative analysis among 20 industrial sectors has been made to see the scale effect, structural effect and technical effect on the environment. Some conclusions can be drawn from the research. The scale effect has a negative effect on the environment while structural effect and technical effect have a positive effect. But the scale effect is far more than the total sum of structural effect and technical effect. In order to promote sustainable development of foreign trade in Jiangsu and reduce the environmental degradation caused by exporting, the paper holds that the industrial exporting structure should be further optimized, technological innovation should be promoted. [Copyright &y& Elsevier]

Abstract: Firstly, this paper defined urban residents low carbonization energy consumption behavior as two aspects: the purchasing and choosing behavior and daily using behavior, and then based on the literature researches, this paper developed the conceptual model of social norms affecting urban residents low carbon energy consumption behavior. Taking Xuzhou as an example, through 280 valid sample, using LISREL 8.7, this paper verified and corrected the conceptual model, The results showed that the stronger the social norms of low carbon energy-saving orientation, the stronger the residents low carbon behavior intention; The stronger the residents low carbon behavior intention, the more positive the low carbonization energy consumption behavior; Social norms cannot directly play a role in residents’ energy consumption behavior, can only have indirectly and positive effect on residents behavior via behavior intention. [Copyright &y& Elsevier]

Abstract: This paper decomposes Jiangsu energy consumption intensity change from 1998-2008. And the energy consumption intensity is decomposed into FDI scale effect, FDI structure effect and FDI technology effect, using LMDI model. Decomposition and analysis results show that FDI scale effect reduces the energy consumption intensity. FDI structure and technology effect fluctuates and do not promote the reduction of energy consumption intensity, on the whole. Therefore, to reduce the energy consumption intensity of Jiangsu Province, we suggest that while expanding FDI scale, we should adopt unified energy-saving and emission-reducing requirements to FDI enterprises and domestic ones. Meanwhile, we should increase the foreign investment proportion in the technology-intensive industries and encourage FDI enterprises to use and exchange advanced energy-saving technologies. Moreover, we should adjust the distribution industry structure of FDI to optimize the industrial structure adjustment. [Copyright &y& Elsevier]

Abstract: Based on the low carbon economy and the theory of grey correlation, the paper puts forward that the industrial development in Jiangsu has been associated with energy consumption in large sum and the high energy -consuming industries is still taking up a large proportion. The correlation between the energy consumption of major industrial enterprises and the “three wastes” emissions is large. Besides, the energy consumption has significant influence on the environmental quality. By analyzing the environment and resource bottleneck on the development of the manufacturing in Jiangsu, it puts forward a series of sustainable development strategy for the promotion of the manufacturing. © 2011 Published by Elsevier Ltd. Selection and peer-review under responsibility of RIUDS [Copyright &y& Elsevier]

Abstract: The frequent coal shortages have widely aroused attention to the construction of coal reserve system, some coal reserve bases have been established in many provinces. But researches are few on site selection and scale measurement. With references to the researches on oil reserves, the paper first explored the influential factors on the site selection of regional coal reserves, taking Jiangsu Province as an example, three coal reserve bases should be built in Nanjing, Xuzhou and Lianyungang to ensure the coal supply. Then, learning from the researches on coal resources reserves and grain reserves, a general approach to calculate the scale of regional coal reserves was given, then, taking the direct-supply power plant in Jiangsu as an example, the scale of coal reserves were est imated with the fluctuation range of stock volatility (0, 0), (+1%, -1%), (+5%, -5%), (+10%, -10%), suggesting that the biggest dynamic reserves of 301,800 tons be moderate, with the fluctuation range of stock volatility (+5%, -5%). The research has important significance to promote the construction of regional coal reserve system. [Copyright &y& Elsevier]

Abstract: This paper takes Jiangsu province as an example, divides the zone of energy risks and uses GM (1, 1) and the combination of BP network model to forecast energy demand in this region.Finally, we adopt ARCEngine secondary development achieving the system simulation, and putting forward a strategic suggestion on energy problem of Jiangsu province. The study provides the scientific data support for making energy policy rationally, reducing the increasingly prominent phenomenon of energy demand and offer support for different levels in different departments. It can provide the scientific basis for risk prevention and comprehensive risk management plan. © 2011 Published by Elsevier Ltd. Selection and peer-review under responsibility of RIUDS [Copyright &y& Elsevier]

Abstract: taking energy consumption per ten thousand Yuan unit GDP as energy consumption quality indicator and using, this paper analyses the relationship between energy consumption quality and the level of education and technology of Jiangsu province based on grey relation theory. Conclusion shows that, according the importance order, the influence factors of Jiangsu energy consumption quality is as following: scientific and technological personnel, number of college students per ten thousand in number, number of R&D funds. Therefore,to improve the energy consumption quality, we should improve technology personnel level and education level.at the same time,we should enlarge fund investment. [Copyright &y& Elsevier]

Abstract: In recent years, the renewable energy such as wind energy or solar energy is well developed in China, but the green electricity generated from these sources is still difficult to operate commercially. To promote the development of green electricity market, this paper takes Jiangsu Province as examples and explores the consumption mode of green electricity. Through questionnaires design and investigation, we find that information dissermination, green value and bandwage effect play an important role in people''s subsriciption intention, while the actual purchase behavior is mainly drived by subsriciption intention, rather than payment capacity. It implies that we should strengthen the knowledge popular of green electricity through school education, media dissernmination and the spread of green knowledge in the community. © 2011 Published by Elsevier Ltd. Selection and peer-review under responsibility of RIUDS [Copyright &y& Elsevier]