Empirical Analysis of the Regional Development Levels of Contemporary Agricultural Science and Technology in Fuyang City, China

Abstract

Contemporary agricultural science and technology is under great scrutiny. Understanding the past and current trends of Agricultural science and technology is crucial. Fuyang city is one of the Chinese traditional big agricultural cities and the largest city in terms of population in Anhui province, China. In the study, an index system for the development and innovation levels of agricultural science and technology was established and the regional innovation of current agricultural science and technology in Fuyang city was empirically evaluated and analyzed by using the index system based on the existing annual data available. The purpose of this study was to make an objective analysis and evaluation of the sub-area innovation levels among urban districts and counties in Fuyang city. All the data was processed and transformed simultaneously based on the same scales of social-economic index and next analyzed based on the methods of factor analysis in view of dimension reduction. Finally, the comprehensive evaluation was carried out and the scores was ranked as followed by Linquan county, Yingshang county, Funan county, Taihe county, Jieshou county, Yingzhou district, Yingquan district and Yingdong district. It is concluded that the innovation level of Fuyang city is unbalanced with two main features. Firstly, on the whole, the city’s innovation is rather active with supports from subordinate districts and counties, but the innovation levels of subordinate counties are better than those of urban districts in view of the quantities and activities of agricultural science and technology innovation. Higher levels of agricultural science and technology innovation are seen in the natural growing zones. Secondly, in consideration of agricultural science and technology innovation, the different indicators of counties and districts in Fuyang city have shown their own advantages and disadvantages, especially on specific negative principal component score which shows that the corresponding defects on specific principal components. That is, the district or county are relatively backward in corresponding index of agricultural science and technology innovation and even some of the principal component factor have become the bottleneck of these districts or counties for innovation and sustainable development.