| 相对性区域创新指数与经济周期挖掘 |
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| 引用本文： | 方学进,崔俊英,胡淡淡,韩筱璞.相对性区域创新指数与经济周期挖掘[J].物理学报,2020(8):269-280. |
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| 作者姓名： | 方学进 崔俊英 胡淡淡 韩筱璞 |
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| 作者单位： | 杭州师范大学 |
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| 基金项目： | 国家自然科学基金(批准号:61873081,11622538,61673150,61673151);浙江省自然科学基金(批准号:LGF18F030007,LR16A050001);浙江省新苗人才计划项目(批准号:2019R426070)资助的课题. |
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| 摘 要： | 提出了一类新的相对性区域创新指数,并采用世界专利申请数据对其进行了具体计算.基于区域创新同经济发展水平之间的超线性关系,该指数消除了经济发展水平对创新能力的影响,可以实现对不同发展水平的经济体之间进行有效的创新能力横纵对比.该创新指数尽管极其简单,却揭示出一系列迥异于传统认知的现象,例如中国大陆地区的技术创新能力在1980年代就已经位居世界前列.采用该指数,不但可以在较高水平上解释世界各国的经济增长,还发现它同经济增长率之间的相关性存在一个20年的经济周期.这些结果显示,该指数作为一个单一性指标,以极小的数据依赖就实现了较高程度的解释性,不但重新定位了世界各经济体的创新能力,对深入理解创新同经济发展之间的关系提供了新的角度,而且暗示着这类相对性经济指标的发展潜力与应用空间.
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| 关 键 词： | 区域创新指数 经济周期 相对性经济指标 经济复杂性 |
Relativistic regional innovation index and novel business cycle |
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| Fang Xue-Jin,Cui Jun-Ying,Hu Dan-Dan,Han Xiao-Pu.Relativistic regional innovation index and novel business cycle[J].Acta Physica Sinica,2020(8):269-280. |
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| Authors: | Fang Xue-Jin Cui Jun-Ying Hu Dan-Dan Han Xiao-Pu |
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| Affiliation: | (Alibaba Research Center for Complexity Sciences,Hangzhou Normal University,Hangzhou 311121,China) |
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| Abstract: | In this paper, we propose a new type of relativistic regional innovation index by using the international patent application data. Based on the super-linear relationship between regional innovation and economic development, the new index can eliminate the influence of economic development level on innovation capabilities, and can effectively achieve the comparison of innovation capabilities among economies at different economic development levels. This new index is quite simple, and points out a series of new findings that are sharply different from the traditional cognitive phenomena, e.g. the index shows that the technological innovation capabilities of China's Mainland are among the highest in the world in 1980 s. Moreover, the use of this new index not only can efficiently explain the economic growth of countries in the world at a higher level,but also find that there is a novel 20-year business cycle in the correlation between the index and economic growth rate. These results show that the index, as a simple single indicator, can achieve a higher degree of explanatory ability with minimal data dependence. This new index not only repositions the innovation capacity of world’s economies, but also provides a new insight into an in-depth understanding of the relationship between innovation and economic development, and implies the development potential and application space such a kind of relativistic economic indicator. |
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| Keywords: | regional innovation index business cycle relativistic economic indicator complexity in economy |
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