以2010~2021年中国大陆30个省、自治区、直辖市(其中,由于数据搜索困难,西藏自治区不包括在上述研究样本内)为研究对象,并建立面板数据。首先运用随机前沿分析法测算各省、自治区、直辖市2010~2021年各年的区域创新效率,并列出表格进行...以2010~2021年中国大陆30个省、自治区、直辖市(其中,由于数据搜索困难,西藏自治区不包括在上述研究样本内)为研究对象,并建立面板数据。首先运用随机前沿分析法测算各省、自治区、直辖市2010~2021年各年的区域创新效率,并列出表格进行分析,观测各地不同年份创新效率的差异,猜想“一带一路”倡议与区域创新效率之间的内在联系。随后运用双重差分法验证猜想。实证结果表明,中国大陆内,位于“一带一路”沿线的省市、自治区在该倡议提出前后的区域创新效率差异性明显,体现为区域创新效率得到显著提升,原因是“一带一路”倡议的提出带来了区域间创新要素的自由流动,创新资源使用的便利程度提升,创新资源在区域间的流动与整合速度加快,创新投入产出增多,区域创新效率得到提升。此外,区域内劳动者受教育程度、基础设施建设水平以及科技产业的发展水平与区域创新效率存在显著正相关关系,重视并落实创新型人才的培养、加大基础设施建设的投资力度及推进技术市场的发展等措施对区域创新效率有显著的提升作用。Taking 30 provinces, autonomous regions and municipalities in China's Mainland from 2010 to 2021 (among which, the data of Tibet Autonomous Region is incomplete and not included in the research sample) as the research objects, after which panel data is established. Firstly, stochastic frontier analysis (SFA) is used to estimate the regional innovation efficiency of 30 provinces, autonomous regions, and municipalities in China from 2010 to 2021. A table is presented for analysis to observe the differences in innovation efficiency in different regions in different years and guess the internal relationship between the “Belt and Road” Initiative and regional innovation efficiency. The conjecture is then verified by the method of difference and difference. The empirical results show that in China's Mainland, the provinces and municipalities along the Belt and Road have significant differences in regional innovation efficiency before and after the initiative is put forward, which is reflected in the significant improvement of regional innovation efficiency. The reason is that the initiative brings about the free flow of inter-regional innovation factors and the improved convenience of using innovation resources. The flow and integration of innovation resources between regions are accelerated, the input and output of innovation are increased, and the efficiency of regional innovation is improved. In addition, the research results also show that there is a significant positive correlation between the education level of workers, the level of infrastructure construction, the development level of the science and technology industry in the region, and the regional innovation efficiency. Measures such as attaching importance to and implementing the training of innovative talents, increasing the investment in infrastructure construction, and promoting the development of the technology market have a significant effect on regional innovation efficiency.展开更多
Using a modified C D function and stochastic frontier model, the paper analyzed China's cotton yield capacity and found that the yield and technical efficiency of China's cotton planting system can be increas...Using a modified C D function and stochastic frontier model, the paper analyzed China's cotton yield capacity and found that the yield and technical efficiency of China's cotton planting system can be increased by the use of genetically modified (GM) varieties.展开更多
文摘以2010~2021年中国大陆30个省、自治区、直辖市(其中,由于数据搜索困难,西藏自治区不包括在上述研究样本内)为研究对象,并建立面板数据。首先运用随机前沿分析法测算各省、自治区、直辖市2010~2021年各年的区域创新效率,并列出表格进行分析,观测各地不同年份创新效率的差异,猜想“一带一路”倡议与区域创新效率之间的内在联系。随后运用双重差分法验证猜想。实证结果表明,中国大陆内,位于“一带一路”沿线的省市、自治区在该倡议提出前后的区域创新效率差异性明显,体现为区域创新效率得到显著提升,原因是“一带一路”倡议的提出带来了区域间创新要素的自由流动,创新资源使用的便利程度提升,创新资源在区域间的流动与整合速度加快,创新投入产出增多,区域创新效率得到提升。此外,区域内劳动者受教育程度、基础设施建设水平以及科技产业的发展水平与区域创新效率存在显著正相关关系,重视并落实创新型人才的培养、加大基础设施建设的投资力度及推进技术市场的发展等措施对区域创新效率有显著的提升作用。Taking 30 provinces, autonomous regions and municipalities in China's Mainland from 2010 to 2021 (among which, the data of Tibet Autonomous Region is incomplete and not included in the research sample) as the research objects, after which panel data is established. Firstly, stochastic frontier analysis (SFA) is used to estimate the regional innovation efficiency of 30 provinces, autonomous regions, and municipalities in China from 2010 to 2021. A table is presented for analysis to observe the differences in innovation efficiency in different regions in different years and guess the internal relationship between the “Belt and Road” Initiative and regional innovation efficiency. The conjecture is then verified by the method of difference and difference. The empirical results show that in China's Mainland, the provinces and municipalities along the Belt and Road have significant differences in regional innovation efficiency before and after the initiative is put forward, which is reflected in the significant improvement of regional innovation efficiency. The reason is that the initiative brings about the free flow of inter-regional innovation factors and the improved convenience of using innovation resources. The flow and integration of innovation resources between regions are accelerated, the input and output of innovation are increased, and the efficiency of regional innovation is improved. In addition, the research results also show that there is a significant positive correlation between the education level of workers, the level of infrastructure construction, the development level of the science and technology industry in the region, and the regional innovation efficiency. Measures such as attaching importance to and implementing the training of innovative talents, increasing the investment in infrastructure construction, and promoting the development of the technology market have a significant effect on regional innovation efficiency.
文摘Using a modified C D function and stochastic frontier model, the paper analyzed China's cotton yield capacity and found that the yield and technical efficiency of China's cotton planting system can be increased by the use of genetically modified (GM) varieties.
