Spatial Distribution of Leisure Agriculture Demonstration Spots in Fujian Province and Its Influence Factors

To provide a reference for the government in drawing up the policy of leisure agriculture construction and industrial layout, the space configuration, balanced degree and distribution density were quantitatively calculated using the nearest neighbor index, variation coefficient, the grid dimension model and the nuclear density estimation; and the influence factors of spatial distribution were explored using vector data buffer method and correlation analysis, with 171 Fujian provincial leisure agriculture demonstration spots as samples. The results showed that 171 provincial leisure agriculture demonstration spots in Fujian province tended to be agglomeration and showed an aggregate distribution in the geographical space.The spatial distribution density of the demonstration spots shows obvious differentiation, and decreased from the southeast to the northwest of Fujian by four degrees.The distribution of leisure agriculture demonstration sites was largely affected by tourist, city, transport resources, mainly located near the tourist sites, around cities, and through the roads. Furthermore, correlation analysis results showed that the spatial distribution of Fujian leisure agriculture demonstration sites was positively correlated in medium level, with population structure, total GDP, numbers of private cars, and total output value of the tertiary industry, but not significantly correlated with urban Engel's coefficient and proportion of the primary industry. It indicated that the development of leisure agriculture was obviously correlated with regional comprehensive economic strength, but the characteristics of industry was not emphasized, which could be greatly improved. Consequently, for the development of leisure agriculture in Fujian, the following suggestions were proposed. Firstly, optimize resources allocation, strengthen industry agglomeration, and create core growth point; Secondly, develop according to location conditions, and cultivate brands to promote differentiation of development; Thirdly, enhance policy leading, and promote the coupling and coordinated development of industry; Lastly, improve service quality, and increase industry support to raise regional competition.