生物农业金融支持效率评价及其影响因素研究——基于上市公司的经验证据

韩成吉, 樊莹, 韩成思, 史亚荣

系统工程理论与实践 ›› 2024, Vol. 44 ›› Issue (4) : 1198-1209.

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系统工程理论与实践 ›› 2024, Vol. 44 ›› Issue (4) : 1198-1209. DOI: 10.12011/SETP2023-0500
论文

生物农业金融支持效率评价及其影响因素研究——基于上市公司的经验证据

    韩成吉1,2, 樊莹2, 韩成思3, 史亚荣3
作者信息 +

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

    HAN Chengji1,2, FAN Ying2, HAN Chengsi3, SHI Yarong3
Author information +
文章历史 +

摘要

生物农业是农业强国的重要路径之一,目前迫切需要从金融支持角度实现高质量发展.本研究以我国40家生物农业上市公司为例,采用DEA-Malmquist-Tobit模型,分析生物农业金融支持效率及其影响因素.结果表明,生物农业企业整体金融支持效率存在波动,且均未达到DEA有效;Malmquist指数表明,2012-2020年间我国生物农业的金融支持总体效率呈上升趋势,但金融创新不足;Tobit模型分析发现,金融市场发展状况、股权集中度和公司年限对生物农业金融支持效率有显著正向影响,是推进金融支持生物农业发展的重要途径,而企业规模对金融支持效率的影响显著为负,这与"小规模优势"的成本理论有关.最后,建议从优化外部支持环境和加强生物农业企业自身建设两方面推动生物农业金融支持的发展.

Abstract

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.

关键词

生物农业 / 金融支持效率 / 上市公司 / DEA-Malmquist-Tobit模型

Key words

bio-agriculture / financial support efficiency / listed companies / DEA-Malmquist-Tobit model

引用本文

导出引用
韩成吉 , 樊莹 , 韩成思 , 史亚荣. 生物农业金融支持效率评价及其影响因素研究——基于上市公司的经验证据. 系统工程理论与实践, 2024, 44(4): 1198-1209 https://doi.org/10.12011/SETP2023-0500
HAN Chengji , FAN Ying , HAN Chengsi , SHI Yarong. Evaluation of financial support efficiency of bioagriculture and its influencing factors: Based on empirical evidence of listed companies. Systems Engineering - Theory & Practice, 2024, 44(4): 1198-1209 https://doi.org/10.12011/SETP2023-0500
中图分类号: N949   

参考文献

[1] 闵师,王晓兵.补齐生物农业短板,保障国家粮食安全[N].科技日报, 2023-02-27(008).
Min S, Wang X B. Complementing the shortcomings of bioagriculture and ensuring national food security[N]. Science and Technology Daily, 2023-02-27(008).
[2] 林火灿.生物产业将成我国支柱产业[N].经济日报, 2013-01-09(003).
Lin H C. The biological industry will become a pillar industry in China[N]. Economic Daily, 2013-01-09(003).
[3] 杨舒.中国农科院发布十年来十大标志性农业科技成就[N].光明日报, 2022-09-29(008).
Yang S. The Chinese academy of agricultural sciences released ten significant scientific and technological achievements made in the past decade[N]. Guang Ming Daily, 2022-09-29(008).
[4] 方来.战略性新兴产业发展的金融支持机制及效率评价——以甘肃省为例[J].哈尔滨商业大学学报(社会科学版), 2018(2):28-37.
Fang L. Financial support mechanism and efficiency evaluation of strategic emerging industry development:The case of Gansu province[J]. Journal of Harbin University of Commerce, 2018(2):28-37.
[5] 李世奇,朱平芳,廖辉.政府研发补贴能否带动企业研发投入?——基于企业规模和属性的双视角异质性分析[J].系统工程理论与实践, 2022, 42(6):1591-1600.
Li S Q, Zhu P F, Liao H. Can government R&D subsidy stimulate enterprise R&D input? Dual-perspective heterogeneity analysis based on enterprise size and ownership[J]. Systems Engineering—Theory & Practice, 2022, 42(6):1591-1600.
[6] 张林,温涛.农村金融发展的现实困境、模式创新与政策协同——基于产业融合视角[J].财经问题研究, 2019(2):53-62.
Zhang L, Wen T. Realistic dilemma, model innovation and policy coordination of rural financial development:Based on the perspective of industrial integration[J]. Research on Financial and Economic Issues, 2019(2):53-62.
[7] 高芸,赵芝俊.我国农业颠覆性技术创新的可能方向与路径选择[J].改革, 2020(11):98-108.
Gao Y, Zhao Z J. Possible direction and path selection of agricultural disruptive technological innovation in China[J]. Reform, 2020(11):98-108.
[8] 周蒙.中国生物农药发展的现实挑战与对策分析[J].中国生物防治学报, 2021, 37(1):184-192.
Zhou M. The realistic challenge and countermeasure analysis of the development of biological pesticide in China[J]. Chinese Journal of Biological Control, 2021, 37(1):184-192.
[9] 李十中.生物经济发展趋向:构建生物食源产业与生物能源产业体系[J].人民论坛cdot学术前沿, 2022(14):14-26.
Li S Z. Trends in bioeconomic development:Building a biofood industry and bioenergy industry system[J]. Frontiers, 2022(14):14-26.
[10] 张国志,刘慧,卢凤君,等.我国保险资金投资种业的路径及机制研究[J].农业经济问题, 2017, 38(1):48-56.
Zhang G Z, Liu H, Lu F J, et al. Ways and mechanism research on investing China's insurance capital to the seed industry[J]. Issues in Agricultural Economy, 2017, 38(1):48-56.
[11] 程郁,叶兴庆,宁夏,等.中国实现种业科技自立自强面临的主要 "卡点"与政策思路[J].中国农村经济, 2022(8):35-51.
Cheng Y, Ye X Q, Ni X, et al. The main "stumbling blocks"and policy suggestions for China's seed industry to achieve self-reliance and self-improvement in science and technology[J]. Chinese Rural Economy, 2022(8):35-51.
[12] 周杨,邓名荣,杜娟,等.我国农业微生物产业发展研究[J].中国工程科学, 2022, 24(5):197-206.
Zhou Y, Deng M R, Du J, et al. Development of agricultural microbial industry in China[J]. Strategic Study of CAE, 2022, 24(5):197-206.
[13] Fall F, Akim A M, Wassongma H. DEA and SFA research on the efficiency of microfinance institutions:A meta-analysis[J]. World Development, 2018, 107:176-188.
[14] Fried H O, Lovell C A K, Schmidt S S, et al. Accounting for environmental effects and statistical noise in data envelopment analysis[J]. Journal of Productivity Analysis, 2002, 17(1):157-174.
[15] Olesen O B, Petersen N C. Stochastic data envelopment analysis—A review[J]. European Journal of Operational Research, 2016, 251(1):2-21.
[16] Ackerberg D A, Caves K, Frazer G. Identification properties of recent production function estimators[J]. Econometrica, 2015, 83(6):2411-2451.
[17] 邢斐,陈诗英,蔡嘉瑶.企业集团、产业生命周期与战略选择[J].中国工业经济, 2022(6):174-192.
Xing F, Chen S Y, Cai J Y. Enterprise group, industry life cycle and strategic choice[J]. China Industrial Economics, 2022(6):174-192.
[18] 贺正楚,王姣,潘红玉.生物医药产业不同融资方式的融资效率研究[J].财经理论与实践, 2020, 41(1):48-54.
He Z C, Wang J, Pan H Y. Study on financing efficiency of different financing methods in biomedical industry[J]. The Theory and Practice of Finance and Economics, 2020, 41(1):48-54.
[19] 吴青霞,张水平.绿色金融支持新能源产业发展效率评价及其影响因素研究[J].当代金融研究, 2023, 6(1):18-29.
Wu Q X, Zhang S P. Evaluation of the development efficiency of green finance supporting new energy industry and study on its influencing factor[J]. Journal of Contemporary Financial Research, 2023, 6(1):18-29.
[20] 朱承亮,刘瑞明,王宏伟.专利密集型产业绿色创新绩效评估及提升路径[J].数量经济技术经济研究, 2018, 35(4):61-79.
Zhu C L, Liu R M, Wang H W. Green innovation performance evaluation and promotion path of patent intensive industries[J]. The Journal of Quantitative & Technical Economics, 2018, 35(4):61-79.
[21] Jiang M, Luo S, Zhou G. Financial development, OFDI spillovers and upgrading of industrial structure[J]. Technological Forecasting and Social Change, 2020, 155:119974.
[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, 2018, 3(1):4-25.
[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, 2019, 225:58-71.
[24] Sun H, Zhi Q, Wang Y, et al. China's solar photovoltaic industry development:The status quo, problems and approaches[J]. Applied Energy, 2014, 118:221-230.
[25] Senior M. Biotech bubbles during the global recession[J]. Nature Biotechnology, 2021, 39(4):408-413.
[26] Chang S C. Returns to scale in DEA models for performance evaluations[J]. Technological Forecasting and Social Change, 2011, 78(8):1389-1396.
[27] 刘炳胜,陈晓红,王雪青,等.中国区域建筑产业TFP变化趋势与影响因素分析[J].系统工程理论与实践, 2013, 33(4):1041-1049.
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, 2013, 33(4):1041-1049.
[28] 王艳,苏怡.绿色发展视角下中国节能减排效率的影响因素——基于超效率DEA和Tobit模型的实证研究[J].管理评论, 2020, 32(10):59-71.
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, 2020, 32(10):59-71.
[29] 刘超,傅若瑜,李佳慧,等.基于DEA-Tobit方法的人工智能行业上市公司融资效率研究[J].运筹与管理, 2019, 28(6):144-152.
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, 2019, 28(6):144-152.
[30] 李京文,王宇纯,杨正东.战略性新兴产业上市公司融资效率研究——以北京市为例[J].经济与管理研究, 2014(6):74-82.
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, 2014(6):74-82.
[31] 崔也光,王肇,齐英.供应商地理距离对企业投入产出效率的影响研究——来自A股上市公司的经验证据[J].数理统计与管理, 2021, 40(3):544-555.
Cui Y G, Wang Z, Qi Y. The impact of supplier geographic distance on input-output efficiency—Empirical evidence from a-share listed companies[J]. Journal of Applied Statistics and Management, 2021, 40(3):544-555.
[32] 王秀贞,丁慧平,胡毅.基于DEA方法的我国中小企业融资效率评价[J].系统工程理论与实践, 2017, 37(4):865-874. Wang X Z, Ding H P, Hu Y. The evaluation of financing efficiency for China's small and medium-sized enterprises based on DEA model[J]. Systems Engineering—Theory & Practice, 2017, 37(4):865-874.
[33] 李涛,梁晶.基于RS-DEA的产融结合型农业上市企业经营绩效评价[J].财经理论与实践, 2019, 40(4):60-66.
Li T, Liang J. The efficiency measurement of industry-finance-type agricultural listed enterprises based of RS-DEA[J]. The Theory and Practice of Finance and Economics, 2019, 40(4):60-66.
[34] 吉生保,席艳玲,赵祥.中国农业上市公司绩效评价——基于SORM-BCC超效率模型和Malmquist的DEA-Tobit分析[J].农业技术经济, 2012(3):114-127. Ji S B, Xi Y L, Zhao X. Performance evaluation of Chinese agricultural listed companies:DEA-Tobit analysis based on SORM-BCC super-efficiency model and Malmquist[J]. Journal of Agrotechnical Economics, 2012(3):114-127.
[35] 余江龙,潘玲玲.贷款集中度对地方性商业银行资产质量的异质性影响——基于股权集中度调节效应的检验[J].兰州学刊, 2022(12):27-40.
Yu J L, Pan L L. The heterogeneous impact of loan concentration on asset quality of local commercial banks—A Test based on the moderating effect of ownership concentration[J]. Lanzhou Academic Journal, 2022(12):27-40.
[36] 范红忠.有效需求规模假说、研发投入与国家自主创新能力[J].经济研究, 2007(3):33-44.
Fan H Z. A hypothesis on effective demand size, R&D expenditure and national innovation capacity[J]. Economic Research Journal, 2007(3):33-44.
[37] 王晓雅.中小金融机构 "小规模优势"的经济学解释[J].上海金融, 2003(11):11-14.
Wang X Y. The economic explanation of the "small scale advantage"of small and medium sized financial institutions[J]. Shanghai Finance, 2003(11):11-14.
[38] 张丽华,罗智仁,张轩溧.供给侧改革背景下煤炭企业科技创新的金融支持效率研究[J].华东经济管理, 2019, 33(7):149-157.
Zhang L H, Luo Z R, Zhang X L. Research on financial support efficiency of scientific and technological innovation in coal enterprises under the background of supply-side reform[J]. East China Economic Management, 2019, 33(7):149-157.
[39] 郝心宁,孙巍,张学福. 1995-2012年生物育种领域知识演化分析[J].中国农业科技导报, 2014, 16(2):174-181.
Hao X N, Sun W, Zhang X F. Analysis of knowledge evolution in biological breeding field from 1995 to 2012[J]. Journal of Agricultural Science and Technology, 2014, 16(2):174-181.

基金

湖南省教育厅科学研究项目——优秀青年项目(23B0209);国家社会科学基金重大项目(21ZDA056);中国农业科学院科技创新工程项目(10-IAED-01-2024);甘肃省科技厅重点研发计划——社会发展类基金项目(20YF8FA047)
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