Assessment of Ecological Civilization Development Level of Coastal Cities Based on Entropy Weighting Method

Authors:Hu Po

Abstract


The degree of urban ecological civilization is an important embodiment of the sustainable development of the city’s economy and society. Based on the concept of ecological civilization and taking coastal cities in Jiangsu as an example, the evaluation index system of urban ecological civilization is constructed, which includes ecological efficiency, ecological behavior, ecological coordination and ecological protection. The development level of ecological civilization is evaluated by the combination of entropy and coefficient of variation. By comparing the comprehensive level of 30 cities in China, Jiangsu’s coastal cities rank 22nd, all the secondary indicators are in the middle and lower reaches, and the development level of ecological civilization has a medium degree of variation. Among them, Tongzhou, Haimen, Hai’an and Dongtai have the higher level of ecological civilization, while Donghai and Guanyun counties have the lower level. In 2002–2008, the ecological efficiency index of Donghai County was significantly higher than that of other counties and cities, and the average score of GDP comprehensive energy consumption index of Tongzhou was the highest. Hai’an has a better performance in per capita green space area and water resources reuse rate, while Guanyun county has less cultivated land resources per capita. Tongzhou, Haian and Haimen are superior in ecological protection index level, while Guanyun county and Donghai County are not ideal in ecological protection level. Based on the development level of coastal cities in Jiangsu, the countermeasures and suggestions for the ecological civilization development of coastal cities are put forward as a whole.


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Anton, M., G. Marcus and G. Monika. 2017. Development of a novel sound pressure level requirement for characterizing noise disturbances from theater and opera stages. Journal of the Acoustical Society of America, 141 (5): 3957-3958.

Chen, T.H., Q.Y. Li and Z.W. Fu. 2017. The shape memory effect of crosslinked ultra-high-molecular-weight polyethylene prepared by silane-induced crosslinking method. Polymer Bulletin, 75 (5): 2181-2196.

Claudia, C.A., S.E. Alejandro and N.R. Flor. 2017. One: tep zymogram method for the simultaneous detection of cellulase / xylanase activity and molecular weight estimation of the enzyme. Electrophoresis, 38 (3-4): 447-451.

Dai, L.Q., J.Q. Mao and Y. Wang. 2016. Optimal operation of the three gorges reservoir subject to the ecological water level of Dongting lake. Environmental Earth Sciences, 75 (14): 1-14.

Florence, P., B. Catherine and B. Joël. 2016. Review: towards the agroecological management of ruminants, pigs and poultry through the development of sustainable breeding programmes: i-selection goals and criteria. Animal, 1 (11): 1-11.

Graczyk, M., H. Reyer and K. Wimmers. 2017. Detection of the important chromosomal regions determining production traits in meat-type chicken using entropy analysis. British Poultry Science, 58 (4): 1-8.

Guo, X.L., J.N. Mi and Y. Zhang. 2016. Study on the location-aware based mobile node aggregation detection method. Journal of China Academy of Electronics and Information Technology, 11 (4): 425-428.

Ji, G.J. and Y.L. Wang. 2016. Study on control strategy of energy-saving elevator with super capacitor based on fuzzy control. Chinese Journal of Power Sources, 40 (8): 1673-1674.

Liu, Y.X. and L. Wang. 2016. A Ripple suppression with staggered parallel buck / boost converter light load efficiency research. Journal of Power Supply, 14 (5): 157-165.

Meng, X.D. and S.H. Wang. 2018. Continuity of solution set mapping for parametric generalized set-valued optimization problems. Journal of Jilin University (Science Edition), 56 (04): 830-836.

Niu, Y., X.L. Wu. G.M. Shi. 2016. Image enhancement by entropy maximization and quantization resolution up conversion. IEEE Transactions on Image Processing, 25 (10): 1-1.

Qian, J., X.F. Guo and Y. Deng. 2016. A novel method for combining conflicting evidences based on information entropy. applied intelligence, 46 (4): 1-13.

Qiu,Y. 2016. Analysis of equivalent model of high frequency transformer in power electronic circuit. Automation & Instrumentation, 31 (3): 31-32.

Robert, S., I.R. Yan. and J.A.D. Benjamin. 2017. Kleptoparasitism in Gulls Laridae at an Urban and a Coastal Foraging Environment: An Assessment of Ecological Predictors. Bird Study, 64 (1): 12-19.

Wang, Y. 2016. Risk Assessment of stochastic spinning reserve of a wind-integrated multi-state generating system based on a cross-entropy method. Iet Generation Transmission & Distribution, 11 (2): 330-338.

Yingjen, J.W., A.P. Michael and L.M. Leslie. 2017. High αv integrin level of cancer cells are associated with development of brain metastasis in athymic rats. Anticancer Research, 37 (8): 4029-4040.

Zhang, L. and Y.F. Nie. 2016. Quantum behaved particle swarm optimization algorithm merging differential evolution. Computer Simulation, 33 (02): 313-316.

Zhang, X., C.L. Mei and D.G. Chen. 2016. Feature selection in mixed data: A method using a novel fuzzy rough set-based information entropy. Pattern Recognition, 56 (1): 1-15.


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