Innovation Facilitated by Universities: Balancing Enterprise and Regional Demands

Table 1

The selection and description of enterprises’ variables.

Variable names		Variable description
Explained variable	Ap	Per-capita number of invention patents (obtained by dividing the year-end number of employees on the payroll by the annual number of invention patents of the enterprise)
Explanatory variables	Gini	Gini coefficient indicating the score of the quality of a university
	Gini^2	The square of Gini Coefficient indicating the score of the quality of a university
Control variables	R&D ratio	The proportion of the development expenditure in the closing assets of the enterprise
	R&D staff	The proportion of the employees on R&D positions in the enterprise
	M ratio	The proportion of the graduates of “211 Project” and “985 Project” key universities in the senior executives of the enterprise
	AGDP	The per-capita GDP of the province (municipality directly under the central government or autonomous region) where the enterprise is located
	Trade	The transaction amount of the patents in the province (municipality directly under the central government or autonomous region) where the enterprise is located
	Age	The number of years since the enterprise went public
	Capital	The registered capital of the enterprise

Note. The Gini Coefficient has been proved to be consistent with other indicators in the preceding part of the article. In order to be consistent with the theoretical model mentioned above, an analysis is made by mainly resorting to the Gini Coefficient.