Research on the Impact of Cross-Regional Investment on the Innovation Performance of Agricultural Enterprises under Dual Network Embeddedness

This dataset is constructed based on the sample of agricultural enterprises listed on the Chinese stock exchange and the New Third Board from 2017 to 2021. The data files cover identification information such as enterprise name, securities code, city, province, and segmented industry, as well as explanatory variables (enterprise innovation performance), core explanatory variables (cross regional investment intensity), mechanism variables, and control variables required for research. It has certain practical value. The filtering and processing process of this dataset is as follows: (1) Remove samples in abnormal states such as revocation and bankruptcy, as well as ST and * ST samples within the observation interval; (2) Delete samples with missing variable values or difficult objective identification; (3) To reduce outlier interference, perform a 1% truncation operation on continuous variables; (4) The variables measured by value will be flattened by the city level GDP deflator to the 2017 constant price, resulting in panel data of 281 enterprises and 1405 enterprises with annual observations.