Analysis On Western Arable Land Utilization Efficiency Based On Dea-Neural Network

All human production and living activities are dependent on land resources, Arable land is the most important and valuable resource.Arable land resources is not only the basis resources for agricultural production, but also an important factor affecting the survival and development of mankind. With the rapid development and urbanization of the economy, the growing demand for construction land through "rural" way to be met, in this case, the arable land use efficiency has become a land of contradictions and solution to alleviate food security, to solve the problem has an important strategic significance and practical significance.This paper selects 12 provinces in western China (municipalities and autonomous regions) for the study area, using data envelopment analysis (DEA) and neural networks combined method, the study area of arable land utilization efficiency of quantitative research, based on the conclusions of the study on the impact of farmland use efficiency factors were analyzed and summarized, and corresponding countermeasures and suggestions. The main conclusions of this study:(1) Differences in the western region of arable land use efficiency are very large, between the very large majority of provinces (municipalities and autonomous regions) arable land use efficiency are in an invalid state, there is a lack of inputs and outputs redundancy. The entire study area of cultivated land use efficiency average of 0.668, adjusted larger space.(2) DEA optimal evaluation of the relative efficiency of provinces (municipalities and autonomous regions)are Sichuan, Xinjiang, Shanxi. The rest of the regions is the highest value in Chongqing efficiency (efficiency value of 0.881); minimum of Tibet (efficiency value of 0.337).12 provinces (municipalities and autonomous regions) in the area of increasing economies of scale accounted for 42% of the total, account for economies of scale decreasing by 25%.(3) Due to the use of neural networks to evaluate the introduction of new indicators to evaluate the results of the evaluation results have three provinces (municipalities and autonomous regions) and DEA evaluation of different, namely Tibet, Shaanxi, Ningxia, can be analyzed for this result, effective irrigated area, rural electricity, agricultural chemical fertilizer these three provinces (municipalities and autonomous regions) greater impact on reproduction should be a reasonable adjustment of the ratio of these types of elements.(4) Based on the above analysis, improving the utilization efficiency of farmland should be rational allocation of production factors, protect farmland ecological environment, improve the quality and quantity of cultivated land, strengthen disaster preparedness capacity building.