Evaluation Of PV Industry Policy Efficiency Based On Three-stage SBM Model

With the increasingly prominent limitations of traditional fossil energy,solar energy has become one of the preferred clean energy sources in the process of sustainable development because of its long-lasting supply capacity,deep reserves and low environmental pollution.Among the various ways of utilizing solar energy,photovoltaic power generation has the best effect.As a new strategic industry,photovoltaic industry has typical characteristics of government support.In recent years,our government has launched a series of policies to promote the development of photovoltaic industry,but whether the policy objectives of China’s photovoltaic industry are appropriate,whether the expected goals have been fully achieved,and what problems exist in the implementation of these industrial policies need to be explored urgently.The government regulates the policy of photovoltaic industry,which can ensure that the support policy of photovoltaic industry can truly implement the links of market failure and significant technical efficiency spillover.Therefore,the research on the policy performance of photovoltaic industry can better judge whether the policy objectives of China’s photovoltaic industry are appropriate,whether the expected implementation effect has been achieved,and find the problems in the process of implementation of the industrial policy,which can provide a reference for the policy formulation of China’s photovoltaic industry.Combining with the realistic economic background,it is necessary to deeply analyze the policy performance of photovoltaic industry,which has a strong practical significance.This paper first reviews the development history of China’s photovoltaic industry and industrial policies,and analyzes and classifies industrial policies.Applying the COPA framework model of China’s PV industry policy analysis,it evaluates the macroscopic effect of PV industry policy from four aspects:policy content,policy form,policy intensity and policy release.From the perspective of policy performance evaluation,the three-stage SBM model was used to evaluate the performance of photovoltaic industry policies in 31 provinces.In the first phase,the SBM-DEA model was applied to assess the efficiency of the PV policy to account for the impact of government inputs,while also taking into account undesired outputs.The raw data is adjusted in the second stage,and then in the third stage,the SBM model is used again for efficiency evaluation,and the pure management efficiency of each decision unit is obtained.The evaluation results show that there are obvious spatial imbalances in the efficiency of PV policy in the four regions of China.Environmental factors and random error factors have a significant impact on environmental efficiency.From the perspective of policy performance prediction,the three-stage sequential model combined with DEA model and BP neural network model was used to predict the economic benefits of 155 PV poverty alleviation projects.The first step is to stratify the DEA efficiency results,and then train the BP neural network model to group the decision units according to the efficiency level.Finally,the 12-4-1 network structure prediction model is used to predict the input.The forecast results show that the PV poverty alleviation project can optimize the structure of each input to obtain higher economic benefits.Finally,based on the results of the empirical analysis,some relevant policy recommendations were put forward.