Abstract

Based on the perspective of the value chain of agricultural science and technology innovation, in this paper, we divided the process of agricultural science and technology innovation into two stages: the Research and Development (R&D) of agricultural technology and the application of agricultural technology. We took the efficiency of agricultural science and technology innovation of the two stages as a comprehensive index measure for the development of agricultural science and technology innovation in China. On this basis, we used social network analysis to establish a two-stage spatial correlation network for the innovation development of agricultural science and technology in China. The spatial-temporal evolution trends, structural characteristics, and influencing factors of the network were analyzed from the three aspects of the overall, local, and individual network structure. The results show that: a. The development of agricultural science and technology innovation in China demonstrated a clear spatial correlation and spillover effect, and the spatial correlation network was in a connected state. b. The network had the distribution characteristics of ‘core-edge’ and strong stability, and the hierarchical structure of the members of each province in the network was gradually broken. c. The differences at the market level in agricultural science and technology, the differences in government support for agriculture, the geographically adjacent relationships, and the level of agricultural economic development were important factors affecting the spatial correlation of agricultural science and technology innovation. This study provides a policy reference to use a cross-regional coordinated development mechanism to solve the uneven and asymmetry problem of the distribution of elements in various regions in China.

Highlights

  • At present, the fundamental development mode of agricultural production lies in the realization of sustainable and stable development of agriculture through science to ensure the long-term effective supply of agricultural products

  • Table the results show that, in the research and development stage pesticide and fertilizer usage per unit of crop sown area, the difference in the technology market ofturnover, agricultural all other factors passed the test except the difference in the sown andtechnology, the difference in the agricultural science and technology funds did not area passper the significance test, indicating that the above factors had no significant impact on the spatial correlation of agricultural science and technology innovation at the stage of technology application

  • We proposed to study the spatial correlation network of development level of agricultural science and technology innovation from the perspective of spatial correlation, and took

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Summary

Introduction

The fundamental development mode of agricultural production lies in the realization of sustainable and stable development of agriculture through science to ensure the long-term effective supply of agricultural products. This matrix divides innovation into major innovation, intermediate innovation, and secondary innovation according to the degree of technological progress of innovation Both macro and micro studies showed that there was spatial heterogeneity in the development level of agricultural science and technology innovation; that is, there are great differences in agricultural innovation between different regions [7,8,9], which can be explained by the differences in policies, institutional settings, infrastructure environment, or knowledge transfer systems among countries [10,11]. This study was designed to helpful to solve the problems existing in the development process of China’s agricultural science and technology innovation, with the hope to provide a policy reference for the research on the spatial correlation network structure and influencing factors of agricultural science and technology innovation development

Research Design and Variable Description
Characteristic Indexes of the Network Structure
Data Sources
Network diagram state
Theassociation
The Individual
Plate Analysis in the Application Stage of Agricultural Technology
Analysis of Correlation between Plates
Policy Implications
Findings
Conclusions
Full Text
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