| The support and boosting effect of industry to the economic and social development of Jiangsu Province is very prominent. As the economy fast developing, the status of industry in the province’s economic is constant improvement. However, Jiangsu Province’s traditional industries which impose damage on the environmental seriously account for a large proportion, and traditional industries resource energy consumption level are high with low product added value. The goal of composing thrifty society is raised clearly in the national" 12th Five-Yea". The roots of thrifty society lie in utilizing natural resources rationally as much as possible and achieving maximum economic and social benefits with the minimum resources consumption. In view of this, Jiangsu Province raises the goal of readjusting industrial structure, improving resource utilization and transformation of economic growth.Based on the domestic and international application practice of eco-efficiency, the study focuses on the basic connotation of eco-efficiency, study the relationship with correlation theory and the role as a bridge in realizing economical growth and material consumption reduction, and finds the inner link between industries optimization and upgrading and sustainable development. Eco-efficiency optimization and decoupling analysis of economical growth with environmental load are used as dual indicators to adjust industrial structure.Firstly, based on the eco-footprint basic theory, resource consumption and land use types, three main industries eco-footprint model and residents living footprint model were built. Then industrial eco-efficiency model, decoupling model and industrial structure decompose model of resource usage were built to measure resource utilization situation, the relative decoupling relationship of environment load with GDP growth, and the impact of economic scale, industrial structure and industrial footprint intensity in the different times to the footprint variation.Secondary, based on the new classical economic theory, production function model of three main industries was deduced. Regression equations of newly fixed assets investment of three industries account for their respective proportion of GDP and the employment growth rate were built and used to forecast the GDP growth of Jiangsu Province in next five years.Then, based on the industrial structure and output, footprint model and eco-efficiency model, combining commonly linear programming model, with the goal of maximum eco-efficiency, industrial structure optimization model was built. Optimization model combining with decoupling analyses were used to adjust industrial structure and find the condition that satisfies GDP growth rate mentioned in the" 12th Five-Yea"plan to realize industrial structure optimization as maximum eco-efficiency.Lastly, based on the research methods mentioned above and history datas of Jiangsu Province, the industrial structure and eco-efficiency of Jiangsu Province were conducted a systematic study in 2000-2010 and some problems were found. The relation models and calculation were used to forecast, analysis and optimize the industrial structure and eco-efficiency of Jiangsu Province.The results showed that tertiary industry eco-efficiency is largest and increasing year by year, up to 5.87×104￥·hm-2, between 2000 and 2010. Secondary industry which was the biggest ration of GDP took second place and the trend was increasing little. The lowest eco-efficiency is primary industry and the rangeability was small from 2000 to2010, keeping around 0.4×104￥·hm-2.Based on the industrial structure decomposition model of resource usage, footprint was decomposed into three factors. In all factors, economic growth caused footprint increasing and annual variation was 0.1816×108 hm2. Industrial structure and footprint intensity restrained footprint increasing and annual variation was separately -0.0466×108 hm2 and-0.0205×108 hm2.Based on the decoupling analysis of economic growth with environment load from 2001 to 2010, the annual descent rate of Jiangsu Province’s footprint intensity was 0.042 and the average critical value of annual descent rate of environment load per unit GDP was 0.117. The results showed that rapid economic growth made resource consumption increasing rapidly and the economic growth with environment load was not decoupling. In order to satisfy certain economic growth and slow down the rise speed of environment load, it is necessary to adjust industrial structure.Based on these analyses, taking historical data and relative calculating results as basic, the eco-efficiency and GDP growth rate of Jiangsu Province were forecasted from 2001 to 2015. The industrial structure was optimized in the cases of invariable ecological efficiency and optimal ecological efficiency, respectively. The optimized results showed that GDP increase which was close to Jiangsu Province "12th Five-Yea" plan growth rate of 10% reached to 9.88% and the optimal industrial structures were 0.4,0.58 and 0.38. Under the condition of the optimal industrial structures, primary industry achieved decoupling between environment load and economic growth while secondary industry, tertiary industry and comprehensive industry were not yet decoupling. |
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