Abstract
From the analytical view of a recycling economy, the regional system achieves the goal of sustainable development through improving resource utilization efficiency, reducing energy consumption and ameliorating the quality of water and air. The regional economic system’s potential for sustainable development is significantly influenced by regional industrial operational efficiency, which measures the cost of ecology, environment, energy and resources accompanying the economic growth. It is vital for national and regional governments to accelerate harmonious development between products of industrial department, consumption of energy and pollutants discharged. Under the guidance of ecological niche theory and recycling economy theory, the theoretical analysis on efficient relations between regional industrial growth, energy consumption, resources utilization and environmental carrying capacity has been carried out from horizontal and vertical respects. Industrial operational efficiency and the sensitivity coefficient in response to the change of every input and output index can be calculated and critical factors, which restrict sustainable development capability, can be found out so that quantitative references could be provided for administrative decisions. As for the measurement method, a super efficiency mixed data envelopment analysis model, which wipes off self-limited condition and either contains both meeting cone characteristic indexes or not, has been established and applied. Statistics from 1993 to 2012 in China are collected to carry out empirical research. On the basis of further analysis, an adjustment strategy can be constituted to improve the capability for sustainable development.
Highlights
The regional system is a complicated combination, which consists of economic, ecological and social sub-systems
The extensive growth mode of the industry system has resulted in serious resource waste and environmental pollution
As for the empirical analytical method, multiple input and out indexes which contains both meeting cone characteristic indexes or not should be considered, and scientific and accurate values can be calculated with the application of a super efficiency mixed data envelopment analysis (DEA) model in the evaluation of relative efficiency validity of multiple decision units
Summary
The regional system is a complicated combination, which consists of economic, ecological and social sub-systems. The extensive developmental mode brought out serious vulnerability of economic, ecological and social sub-systems, and the Butterfly Effect gradually became significant. Considering the severe consequences mentioned above, academic scholars began to pay close attention to the negative environmental effects caused by economic growth. Representative scholars such as Grossman and Krueger (1991) [5] introduced the Kuznets Curve into the research of the relation between environmental pollution and economic growth of the regional system. Plenty of scholars have carried out relative analysis and empirical research based on statistics from China, and the results indicate that the turning point of the environmental Kuznets
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