The Study Of The Allocation Efficiency Of The Financial Expenditure For Agricultural Funds Based On DEA Model In Counties (Cities,Districts) Of Fujian

Agriculture is the foundation of national economy, but also has the inherent inferiority of a particular industry.The importance and the weak nature of the agriculture decision to the Government to support agricultural development and protection.Financial support for agriculture is the agricultural support and protection of the important measures.The realization of a comprehensive well-off society and socialist new countryside construction,are bound to ask the Government to perform the functions of public finance, and strengthen financial support for agriculture in the public domain in order to compensate for market failure,for agricultural development to create a favorable external environment..The Ministry of Finance issued the "Circular on Further Promoting the integration of guidance fund for agriculture in May 2006, gradually increase state investment in agriculture at the same time,financial support for agriculture began to pay attention the efficiency of capital allocation.Over the years,a serious shortage of funds financial support for agriculture in Fujian Province, improve capital allocation efficiency is to solve the problem of inadequate financial support for agriculture investment rational choice.In order to find ways to improve the efficiency of capital allocation in Fujian Fiscal countermeasures, This paper uses data envelopment analysis (DEA) investigated 67 counties (cities, districts) in Fujian Province the efficiency of capital allocation between financial support for agriculture in 2002-2008.On this basis,67 counties (cities, districts) are classified by clustering analysis, the final classification of policy recommendations.This article first discusses and analyzes the background and significance of the study, methods of research and innovation are described,drawing on the economic efficiency of public finance theory theory and theoretical results,financial support for agriculture was constructed theoretical framework for capital allocation and related concepts were defined.Then, domestic and foreign literature were reviewed and comments, and then select the allocation of funds reflects the efficiency of financial support for agriculture input and output indicators, the use of DEA analysis of the 67 counties in Fujian Province (cities, districts) configuration of financial support for agriculture technical efficiency, pure technical efficiency and scale efficiency.On this basis, by cluster analysis of the 67 counties (cities, districts) less than the classification and rate of various types of output.The results showed that: Fujian financial support for agriculture at this stage less efficient capital allocation,in the production frontier counties (cities, districts) only one,but regional differences are more obvious;Through the technical efficiency, pure technical efficiency, scale efficiency value comparison between the three efficiency value found is lower than the pure technical efficiency and scale efficiency technical efficiency values.Therefore, the allocation efficiency of Fujian Agriculture Finance the reason the overall low level of structural deviation of Agriculture in one hand,caused the other hand,due to financial support for agriculture in the process of funds management in the delivery of lax supervision and decision-making errors due to such issues.Since the specific circumstances of each region affected by the different counties (cities, districts) Financial Fund for agriculture and allocative efficiency of different factors, counties (cities, districts) should pay attention,according to the situation in the region be improved.Accordingly,this paper proposed the establishment of classification of financial support for agriculture and steady growth mechanism,promote the integration of financial support for agriculture funds to strengthen financial support for agriculture management and supervision of funds and strengthening of agriculture,rural infrastructure,the four corresponding policy recommendations.