Agglomeration measure of photovoltaic industry and analysis of influencing factors

First A. Yifan Wang¹, Second B. Ruyin Long² yifann3366@163.com
2. Jiangnan University, China
longruyin@163.com

ABSTRACT: This paper takes 30 provinces (cities and autonomous regions) as the observation objects, and selects the photovoltaic data of each province from 2012 to 2019, using location entropy and ArcGIS analysis tools to analyze the spatial pattern of my country's solar photovoltaic industry agglomeration level, and using the fixed effect regression model to study the factors affecting photovoltaic industry agglomeration, The results show that：China's photovoltaic industry generally shows the characteristics of high-level geographical agglomeration, showing a trend of gradually decreasing from northwest to south;In terms of time sequence, the number of provinces with enhanced agglomeration level increases year by year. The regression statistical results of influencing factors show that energy demand, government support and investment level are the main factors affecting China's solar photovoltaic industry agglomeration, showing strong positive correlation, basically negative correlation with economic foundation, and each influencing factor has certain regional heterogeneity.

KEYWORDS: photovoltaic industry, agglomeration degree, location quotient, space panel model
 

光伏产业；集聚度；区位熵；空间面板模型