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中国种业企业科技创新分析
徐宣国1,2,尹春凤1
0
(1.山东农业大学 经济管理学院,山东 泰安 271018;2.山东农业大学 公共管理学院,山东 泰安 271018)
摘要:
为了解种业企业科技创新发展现状,基于变异系数法、科技创新发展指数、障碍度模型和面板分位数回归模型,对种业企业科技创新发展水平及影响因素进行研究,结果表明:1)种业企业科技创新发展指数在研究时段内呈现明显上升的态势;2)创新环境和创新投入指标的障碍程度呈现先增加后下降的趋势,创新产出的障碍程度呈现明显增长的趋势,创新绩效对种业企业科技创新发展的障碍程度呈现波动中下降的趋势;3)农业R&D投入、市场集中度和供应链集中度对种业企业科技创新发展能力各个分位点的影响作用均正向显著,但三大要素回归系数的变化趋势不同。针对研究结论,最后提出三点对策建议,旨在更好提升种业科技创新发展水平。
关键词:  种业企业  科技创新  面板分位数回归  提升对策
DOI:10.11841/j.issn.1007-4333.2024.02.22
投稿时间:2023-04-12
基金项目:国家自然科学基金资助项目(72073084)
Analysis of technological innovation of Chinese seed industry enterprises
XU Xuanguo1,2, YIN Chunfeng1
(1.School of Economics and Management, Shandong Agricultural University, Tai’an 271018, China;2.School of Public Administration, Shandong Agricultural University, Tai’an 271018, China)
Abstract:
In order to understand the status quo of scientific and technological innovation development of seed industry enterprises, based on the coefficient of variation method, scientific and technological innovation development index, obstacle degree model and panel Quantile regression model, the level of scientific and technological innovation development of seed industry enterprises and its influencing factors were studied. The results showed that: 1) The scientific and technological innovation development index of seed industry enterprises showed an obvious upward trend in the research period; 2) The degree of obstacles to the innovation environment and innovation input indicators showed a trend of first increasing and then decreasing, while the degree of obstacles to innovation output showed a significant growth trend. The degree of obstacles to the development of scientific and technological innovation in seed industry enterprises by innovation performance displayed a fluctuating downward trend; 3) The impact of agricultural R&D investment, market concentration, and supply chain concentration on the technological innovation development ability of seed industry enterprises at various quantiles was positively significant, but the trend of the regression coefficients of the three major factors was different. Based on the research findings, three countermeasures and suggestions are proposed to better enhance the level of technological innovation and development in the seed industry.
Key words:  seed industry enterprises  scientific and technological innovation  panel quantile regression  promotion countermeasures