Spatiotemporal characteristics and influencing factors of grain yield at the county level in Shandong Province, China.

ABSTRACT: China's food security has always been a high priority issue on the political agenda with rapid urbanization affecting agricultural land, and it is challenged by several factors, such as human activities, social politics and policy. Shandong is an important grain-producing province and the second most populous province in China. In this paper, the spatiotemporal characteristics of grain yield and their potential influencing factors were explored at the county level in Shandong by using panel data over a 19-year period. The location Gini coefficient (L-Gini) and exploratory spatial data analysis (ESDA) were used to study the spatial agglomeration characteristics of grain yield, and spatial regression methods (SRMs) were used to analyse the influencing factors. The results indicated that grai

SUBMITTER: He H 

PROVIDER: S-EPMC9281284 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature