| Abundant though the general resources are in China,their regional distribution is uneven and the amount per capital is very low.With certain resources and environmental carrying capacity,the contradiction between economic and social development and resources and environment is intensifying against the backdrop of long term rapid economic growth.Therefore,it is necessary to improve the efficiency of resource use,the ecological environment and ecological efficiency and to develop circular economy in order to promote a green and coordinated development of economy,resources and environment.The enhancement of ecological efficiency and resources and environment must be valued in LiaoNing Province,a province with more advanced development in the northeast old industrial base,in order to achieve circular economy and sustainable development.First of all,indicators from such three aspects as economy,resources and environment in LiaoNing Province and 14 cities from 2005 to 2015 are selected to build an index system that includes input and output indicators.The three-phase DEA model is utilized to measure the eco-efficiency for the 11 research periods.The efficiency values measured in the first phase are generally high,and there is no obvious pattern in the changes in the 14 cities within 11 years.The FRONTIER Version 4.1 software is used in the second phase to perform a SFA analysis on the eco-efficiency values of the first phase.The results show that among the four external environmental variables that are selected to affect the efficiency values,besides the urbanization level,the economic output value,industrial structure and government influence redundancy in investment in 14 cities in LiaoNing Province all pass the significance test.With the two-phase analysis,the management factors affecting the efficiency value,external environmental factors and random factors are removed,and the original data of the first phase are readjusted before they are re-entered the third phase DEA model to measure the final eco-efficiency value.Compared with the first phase,the overall eco-efficiency value in the third phase of is relatively low,showing a slow upward trend,and 14 cities have a clear change trend.Secondly,with cluster analysis,coefficient of variation and dynamic ratio measurement method,the spatial and temporal variability analysis is performed for final eco-efficiency measurement values of LiaoNing Province and 14 cities from 2005 to 2015 from such three perspectives as the whole LiaoNing Province,east-middle-west regions,and the city area.The results indicate that from 2005 to 2015,the eco-efficiency values of 14 cities in LiaoNing Province show a slowly rising trend,the overall eco-efficiency level is low,and the central>eastern>western regions,and the overall growth rate of eco-efficiency tends to fluctuate and decline.Thirdly,the indicators General G and Moran's I are employed to perform global spatial correlation and local spatial correlation analysis for eco-efficiency in 14 cities from 2005 to 2015.The results show that the global spatial correlation is negatively correlated with non-significant spatial correlations in these 14 cities.There are many high-low clustering and low-high clustering units,and the randomness is relatively large.It is revealed by the local correlation that the eco-efficiency of the neighboring cells from 2005 to 2015 has changed from low-low clustering to high-low clustering.The spatial gap of eco-efficiency has widened.Fourthly,indicators are selected to build Tobit regression model to analyze the influencing factors of eco-efficiency.The results show that economic output value,industrial structure and ecological technology level have a significant positive effect on eco-efficiency,and urbanization level and ecological pressure have significant negative effects on eco-efficiency.Finally,relevant recommendations are put forward regarding the research conclusions. |
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