金融学院知识库

  生物产业是世界战略性新兴产业，未来有望成为我国的支柱产业，而生物农业将在其中占有一席之地。现阶段生物农业产业正处于成长阶段，要想使其快速发展，就需要大量的金融支撑，但目前的金融支持体系仍存在一些缺陷，因此对生物农业产业的金融支持效率现状及其影响因素进行评价是十分重要的。

  本文在对金融支持生物农业产业相关理论和发展现状进行分析的基础上，利用DEA-Malmquist模型测算我国生物农业产业2012-2020年金融支持效率及其动态变化，接着采用Tobit模型定量分析生物农业产业金融支持效率的影响因素。运用DEA-Malmquist模型进行分析发现，2012-2020年我国生物农业产业整体金融支持效率存在波动，未达到DEA有效，主要原因是金融支持规模效率低，且我国生物农业的金融支持效率总体呈上升趋势，但金融创新仍有不足；Tobit模型回归结果表明，金融市场发展状况、股权集中度和公司年龄对生物农业企业的金融支持效率呈显著正相关关系，而企业规模对金融支持效率的影响显著为负。最后，结合理论分析、产业发展现状和实证结果提出促进生物农业产业发展的政策建议。

  Biological industry is a strategic emerging industry in the world and will become the pillar industry of our country in the future, and biological agriculture will have a place in it. At present, the biological agriculture industry is in the growth stage, and a large amount of financial support is needed for its rapid development. However, there are still some defects in the current financial support system. Therefore, it is very important to evaluate the current situation of financial support efficiency of the biological agriculture industry and its influencing factors.

  Based on the analysis of the theoretical basis and development status of the financial support bio-agriculture industry, this paper uses the DEA-Malmquist model method to measure the financial support efficiency and its dynamic changes of the bio-agriculture industry during 2012-2020. Then, Tobit model was used to select the influencing factors of financial support efficiency from the macro and micro levels as the independent variables of the model, and the influencing factors of financial support efficiency were quantitatively analyzed. Dea-malmquist model analysis found that during 2012-2020, the overall financial support efficiency of Chinese bio-agriculture industry fluctuated, but did not reach DEA effectiveness. The main reason was that the scale efficiency of financial support was low, and the financial support efficiency of Chinese bio-agriculture was on the rise, but the financial innovation was still insufficient. The regression results of Tobit model showed that the development status of financial market, ownership concentration and company age had significant positive correlation with the financial support efficiency of bio-agricultural enterprises, while the influence of firm size on the financial support efficiency was significantly negative. Finally, combined with the theoretical analysis, industrial development status and empirical results, the policy suggestions to promote the development of biological agriculture industry were put forward.