| 邵红琪1 侯 聪2 邢万霞3 许 青1 张 琪1.我国地方政府生态环境保护科技支撑注意力研究——基于27 个省份“十四五”科技创新规划文本的分析[J].中国科技资源导刊,2024,(2):84~91,102 |
| 我国地方政府生态环境保护科技支撑注意力研究——基于27 个省份“十四五”科技创新规划文本的分析 |
| Research on Attention of Local Government’s Science and Technology Support for Eco-environmental Protection |
| 投稿时间：2023-08-18 |
| DOI： |
| 中文关键词: 地方政府；生态环境保护；科技创新；政府注意力；“十四五”科技创新规划 |
| 英文关键词: local government, ecological environmental protection, science and technology innovation,government attention, 14th Five-Year science and technology innovation plan |
| 基金项目: |
| 作者 | 单位 | | 邵红琪1 侯 聪2 邢万霞3 许 青1 张 琪1 | （1.山东省科学技术情报研究院，山东济南 250101；2. 山东省生态环境监测中心，山东济南 250101；3. 山东公路技师学院，山东济南 250101） |
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| 中文摘要: |
| 政府注意力是一种稀缺资源，代表着政府决策者对特定事务的关注。以27 个省份的“十四五”科技创新规划文本为样本，基于DIIS智库研究理论，采用文本分析方法，测量地方政府生态环境保护科技支撑注意力的分配情况，并挖掘总结出先进的做法和可借鉴的经验。结果显示，东中西部及东北地区地方政府在污染防治、资源循环与高效利用、绿色低碳发展、生态保护修复与监管四大主题的注意力分配上存在明显差别，不同省份注意力分配情况也存在明显不同。进一步分析文本，挖掘总结出打造特色创新高地、加强顶层规划设计、抓好关键技术攻关、建设创新支撑平台、实现跨领域协同创新等5 个方面的特色举措，为相关政策的制定提供参考。 |
| 英文摘要: |
| Government attention is a scare resource, and it represents the focus of government decisionmakers on specific issues. Taking the texts of the 14th Five-Year Science and Technology Innovation Plan of 27 provinces as samples, based on the research theory of DIIS think tank, text analysis method is used to measure the allocation of local government's attention to scientific and technological support for ecological environmental protection, and to extract advanced practices and experiences that can be learnt from them. The results show that there are obvious differences in attention distribution of pollution prevention and control, resource recycling and efficient utilization, ecological protection and supervision, and green and low-carbon development, and there are also obvious differences in different provinces; Five advanced practices, such as building characteristic innovation highland, strengthening the top-level planning and design, focusing on key technologies, building platforms for innovation supporting, and realizing cross-field collaborative innovation,are summarized through mining policy text. The results can be used to formulate relevant policies. |
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