Table 2 Explanation and description of variables.

From: Analysis of spatial correlation network and influencing factors of green energy efficiency in urban agglomerations

Driving factor

Variable declaration

Symbol

Economic development level

GDP per capita is used to measure this indicator

X1

Industrial structure

Referring to the method of Gan et al.30, the ratio of value-added of tertiary industry to gross regional product is used to measure the industrial structure

X2

Green technology innovation

According to the approach of Song et al.31, the innovation level of green technology is measured by the number of 10,000 green patent applications

X3

Green finance

Referring to the study of Liu and He32, an evaluation index system is constructed to measure the green finance index of each city

X4

Environmental regulation

The ratio of pollution control investment to industrial added value was used to measure environmental regulation

X5

Level of digital economy

According to the practice of Zhao et al.33, the evaluation index of digital economy is constructed, and the level of digital economy of urban agglomerations in the central area of Yangtze River Delta is measured by entropy method.

X6

Urbanization level

The ratio of the non-agricultural population to the resident population at the end of the year was used to measure the urbanization level

X7

Spatial proximity

If two cities are adjacent, take 1, otherwise take 0

X8