Evaluation of financial support efficiency of bioagriculture and its influencing factors: Based on empirical evidence of listed companies

被引：0
|
作者：
Han C. [1 ,2 ]
Fan Y. [2 ]
Han C. [1 ,2 ]
Shi Y. [3 ]
机构：
[1] Economic College, Hunan Agricultural University, Changsha
[2] State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing
[3] School of Finance, Lanzhou University of Finance and Economics, Lanzhou
来源：
Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice | 2024年 / 44卷 / 04期
关键词：
bio-agriculture; DEA-Malmquist-Tobit model; financial support efficiency; listed companies;
D O I：
10.12011/SETP2023-0500
中图分类号：
学科分类号：
摘要：
Biological agriculture is one of the important paths for agricultural power, and there is an urgent need to achieve high-quality development from the perspective of financial support. This study takes 40 listed biological agriculture companies in China as examples and uses the DEA-Malmquist-Tobit model to analyze the efficiency of financial support for biological agriculture and its influencing factors. The results indicate that there are fluctuations in the overall financial support efficiency of biological agricultural enterprises, and none of them have reached DEA effectiveness; the Malmquist index indicates that the overall efficiency of financial support for China’s biological agriculture showed an upward trend from 2012 to 2020, but financial innovation was insufficient; the Tobit model analysis found that the development status of financial markets, equity concentration, and company years have a significant positive impact on the efficiency of financial support for biological agriculture, which is an important way to promote financial support for the development of biological agriculture. However, the impact of enterprise size on financial support efficiency is significantly negative, which is related to the cost theory of “small-scale advantage”. Finally, it is recommended to promote the development of financial support for biological agriculture by optimizing the external support environment and strengthening the self construction of biological agriculture enterprises. © 2024 Systems Engineering Society of China. All rights reserved.
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页码：1198 / 1209
页数：11
相关论文
共 39 条
  • [21] Jiang M, Luo S, Zhou G., Financial development, OFDI spillovers and upgrading of industrial structure, Technological Forecasting and Social Change, 155, (2020)
  • [22] Goel P., Implications of corporate governance on financial performance: An analytical review of governance and social reporting reforms in India[J], Asian Journal of Sustainability and Social Responsibility, 3, 1, pp. 4-25, (2018)
  • [23] Liu T, Zhang Y, Liang D., Can ownership structure improve environmental performance in Chinese manufacturing firms? The moderating effect of financial performance[J], Journal of Cleaner Production, 225, pp. 58-71, (2019)
  • [24] Sun H, Zhi Q, Wang Y, Et al., China’s solar photovoltaic industry development: The status quo, problems and approaches[J], Applied Energy, 118, pp. 221-230, (2014)
  • [25] Senior M., Biotech bubbles during the global recession[J], Nature Biotechnology, 39, 4, pp. 408-413, (2021)
  • [26] Chang S C., Returns to scale in DEA models for performance evaluations[J], Technological Forecasting and Social Change, 78, 8, pp. 1389-1396, (2011)
  • [27] Liu B S, Chen X H, Wang X Q, Et al., Analysis on the changing trend and influencing factors of TFP about the regional construction industry in China[J], Systems Engineering — Theory & Practice, 33, 4, pp. 1041-1049, (2013)
  • [28] Wang Y, Su Y., The influencing factors of energy conservation and emission reduction efficiency in China from the perspective of green development — An Empirical study based on super-efficiency DEA and Tobit models[J], Management Review, 32, 10, pp. 59-71, (2020)
  • [29] Liu C, Fu R Y, Li J H, Et al., Research into financing efficiency of artificial intelligence industry based on DEA-Tobit method[J], Operations Research and Management Science, 28, 6, pp. 144-152, (2019)
  • [30] Li J W, Wang Y C, Yang Z D., A Study on the financing efficiency of listed companies in strategic emerging industries — Taking Beijing as an example[J], Research on Economics and Management, 6, pp. 74-82, (2014)
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