Research Progress on the Resource and Environment Efficiency of Industrial Development

Resource and environment of industrial development plays an important role in building resource-saving and environment friendly society,as well as achieving efficiency land development model.The paper reviewed domestic and international research progress in theories,methods and practices in resource and environment of industrial development,pointed out the weak side of current study in this field and proposed the main research directions in the future.Studies show that problems about resource and environment of industrial development have received universal attention.Studies on the content,index system,calculation methods and application have been held extensively.The relationship and the mechanism between industrial development and resources and environment have been discussed based on industrial structure,industrial layout,and industrial cluster.Meanwhile,the influencing factors on the of resources and environment have also been preliminarily studied.However,there has been no research on the relationship between industrial development and resources and environment from the angle of resource and environment efficiency.Quantitative analysis methods,such as multi-index comprehensive evaluation,DEA,and eco-thermodynamics including energy analysis,exergy,ecological footprint and so on,have been applied to evaluate the resource and environment efficiency.At present,theoretical studies and applications are still insufficient,and the research system has not formed.In the future,the research on resource and environment of industrial development and its mechanism,should be enhanced.These topics,such as testing the existence of EKC relationship between resource and environment and per-capita income,and exploring whether and how the resource and environment is affected by development stage,industrial structure,industrial location,industrial style and other factors,should be paid enough attention.Meanwhile,the research approaches and technical methods should also be improved.The application of DEA models using panel data should be further verified.