Panel data of provincial innovation capacity - including multi index data such as number of patents and turnover (2008-2019)

1、 Data sources ： Provincial statistical yearbook

2、 Data year ：2008-2019

3、 Data range ： The national 31 provinces

4、 Indicator description ：

Some of the data are as follows ：

5、 Filling description ：

linear interpolation . Use the linear trend of the data , Fill in the missing parts in the middle of each year , Get the linear interpolation version of the data , This is also the most commonly used interpolation method by scholars .

ARIMA fill . be based on ARIMA Model , Using time series data from the same region , Predict the missing values .
（ notes ： Because this method fills a lot of data , Can not fully reflect the real situation in the region , Use caution .）

Related literature ：

[1] Xu Ning . Equity incentive for executives of high-tech companies is beneficial to R&D The promotion effect of investment —— An empirical study from a nonlinear perspective [J]. Science of science and management of science and technology , 2013, 34(002):12-19.

[2] Zhou Xiaohua , Bai Ji , Wu Jianglin . Valuation and pricing of high-tech companies on GEM [J]. Statistics and information forum , 2010, 25(011):46-50.

[3] Zhou Xiaohua , Lulu , Tang Jian . be based on EVA High tech companies IPO Pricing research [J]. Economic and management research , 2010(02):53-57.

[4] Li Jinglu , Guo Jing . Does intellectual capital affect the beta coefficient of high-tech companies ?—— be based on 2011—2014 Year data test [J]. East China economic management , 2017.

Download link ： Innovation evaluation data set .zip- Dataset document class resources -CSDN download