联系我们

论文查询结果	返回搜索

论文编号：	15689
作者编号：	2320233778
上传时间：	2025/12/9 11:30:11
中文题目：	创新生态系统视角下A大学科技成果转化路径优化研究
英文题目：	Research on optimizing the path of technology achievements transformation in A University from the perspective of innovation ecosystem
指导老师：	程莉莉
中文关键字：	创新生态系统；科技成果转化；三螺旋理论；路径优化
英文关键字：	transformation of scientific and technological achievements；innovation ecosystem；triple helix theory；pathway optimization
中文摘要：	在国家创新驱动发展战略与“十四五”规划深入实施的背景下，高校科技成果转化成为推动经济高质量发展、建设创新型国家的关键环节。A大学作为国内综合性研究型大学代表，近五年科技成果数量年均增长11.8%，但转化效率显著偏低，2023年转化率仅1.92%，远低于同类高校3%-5%的平均水平。同时，该校高价值成果（具备发明专利且市场潜力≥500万元）占比不足3%，科研成果与市场需求严重脱节；转化全流程平均耗时223天，较行业均值超35%，行政审批环节平均耗时90天，部分项目因错过市场窗口期失败；中试阶段资金缺口达产业化成本65%，设备共享率不足40%，资源投入失衡，制约其科技创新价值落地与服务社会的效能，亟需从创新生态系统视角优化转化路径。 本研究以创新生态系统理论和三螺旋模型为支撑，构建“高校-企业-政府”三维分析框架，聚焦A大学科技成果转化困境，从主体协同、资源整合、环境适配维度剖析制约因素，结合案例对比提炼多主体协同机制，设计路径优化方案与实施保障体系。研究采用数据分析法，收集2019-2024年成果数量、转化率、资金结构、流程耗时等数据，识别结构性问题；案例研究法选取芯片检测柔性探针等3个成功案例，与穿戴式心电监测仪等2个失败案例，通过实地调研、深度访谈剖析转化路径差异；比较分析法开展跨案例对比，并与同类高校对标，明确差距与改进方向。 研究明确A大学存在主体协同不足（供需匹配度35%）、资源整合断层、流程低效（审批耗时90天）、环境适配差（职称评审转化权重不足25%）四大瓶颈；提出“技术池+需求池”双驱动机制，可将供需匹配度提至68%，跨部门转化办公室能将审批缩至15天，全链条资金体系可使中试缺口降至28%，职称评审改革（转化权重30%）与风险补偿保险（保费补贴50%）可激发科研人员积极性；预计优化后2027年转化率达5.8%、跨区域转化率18%、横向科研经费增长185.7%，同时形成“组织-制度-资金”三维保障体系，为A大学及同类高校破解科技成果转化难题提供理论支撑与实践范式。
英文摘要：	Against the backdrop of the in-depth implementation of China's national innovation-driven development strategy and the "14th Five-Year Plan", it has become a key link in promoting high-quality economic development and building an innovative country. As a representative comprehensive research university in China, University A has achieved prominent results in the output of scientific and technological achievements, with an average annual growth rate of 11.8% in the number of achievements over the past five years. However, its transformation efficiency remains significantly low: the transformation rate was only 1.92% in 2023, far below the average level of 3%-5% among similar domestic universities. Meanwhile, the proportion of high-value achievements (those with invention patents and a market potential of ≥ 5 million yuan) in the university is less than 3%, leading to a severe disconnection between scientific research achievements and market demand; the average time for the entire transformation process is 223 days, which is 35% longer than the industry average, and the average time for the administrative approval link alone reaches 90 days, resulting in the failure of some projects due to missed market windows; the funding gap in the pilot test stage accounts for 65% of the industrialization cost, the equipment sharing rate is less than 40%, and the resource investment structure is unbalanced. These issues not only restrict the realization of the value of University A's scientific and technological innovation but also impair its effectiveness in serving society, making it urgent to optimize the transformation path from the perspective of the innovation ecosystem. This thesis is supported by the innovation ecosystem theory and the triple helix model, and constructs a three-dimensional analytical framework of "university- enterprise-government". The thesis adopts the data analysis method to collect data such as the number of achievements, transformation rate, capital structure, and process time from 2019 to 2024, so as to identify structural problems; the case study method selects 3 successful cases (e.g., flexible probes for chip detection) and 2 failed cases (e.g., wearable ECG monitors), and analyzes the differences in transformation paths through field investigations and in-depth interviews; the comparative analysis method conducts cross-case comparisons and benchmarks against similar universities to clarify gaps and improvement directions. The thesis identifies four core bottlenecks at University A: insufficient subject collaboration (with a supply-demand matching rate of 35%), disconnected resource integration, inefficient processes (with an approval time of 90 days), and poor environmental adaptation (with the weight of achievement transformation in professional title evaluation being less than 25%). It proposes a dual-drive mechanism of "technology pool + demand pool", which can increase the supply-demand matching rate to 68%; a cross-departmental transformation office, which can shorten the approval time to 15 days; and a full-chain capital support system, which can reduce the pilot test funding gap to 28%. In addition, reforming the professional title evaluation system (increasing the weight of transformation to 30%) and introducing a risk compensation insurance mechanism (with a 50% premium subsidy) can stimulate the enthusiasm of researchers. It is predicted that after optimization, by 2027, University A's transformation rate will reach 5.8%, the cross-regional transformation rate will reach 18%, and the horizontal scientific research funds will increase by 185.7%. At the same time, a three-dimensional guarantee system of "organization- system-capital" will be formed, providing theoretical support and practical paradigms for Universities to solve the problems in the transformation of scientific and technological achievements.
查看全文：	预览  下载(下载需要进行登录)