摘要
研究基于向量自回归模型和脉冲响应函数,以中国30 个省会城市(除拉萨外)1998-2017 年的面板数据为样本,实证分析专利数量、专利种类和专利引用量对数字经济的影响.结果表明:专利总数、发明型专利、外观设计型专利、实用新型专利和被引用数量的提升均会显著提升数字经济发展水平,其中变量每提升1 个单位将会引起数字经济水平分别提升0.028 5 个单位、0.027 8 个单位、0.019 7 个单位、0.03 个单位、0.018 8 个单位;通过对变量之间冲击的脉冲响应图分析表明专利数量、不同类型专利和专利被引数量的上升均会促进数字经济的发展,其对数字经济的影响在第0 期呈现峰值,随后处于下降趋势,但整体影响均为正向影响,影响大小排序为专利总数＞发明型专利＞专利被引量＞实用新型专利＞外观设计型专利.
Abstract
Based on the vector auto-regression model and impulse response function,this study takes the panel data of 30 provincial capital cities in China from 1998 to 2017 as a sample to empirically analyze the impact of patent numbers,patent types,and patent ci-tations on digital economy.The results show that:The increase of the total number of patents,invention patents,design patents,utility model patents and the number of citations significantly improves the development level of digital economy with an improvement of 0.028 5 units,0.027 8 units,0.019 7 units,0.03 units,and 0.018 8 units as each patent number increases one unit.The impulse response graph of the shocks between indicators shows that the increase of patent numbers,patent types,and patent citations will pro-mote the development of digital economy.The impact on digital economy reaches peak value during the 0th period and decline after-wards,whereas the overall impact stays positive.The impact can be listed in descending order as the number of total patents,invention patent,patent citations,utility model patent,and design patent.
基金项目
国家自然科学基金(72203210)
中国科协青年人才托举工程项目(第八届)(2022QNRC001)
中央高校基本科研业务费专项(buctrc202313)
NETL
NSTL
万方数据