The Mechanism And Effect Of Agricultural Public Service Decision-Making Optimization

The low level of agricultural public service decision-making optimization leads to agricultural public service problems, and the reality of agricultural public service decision-making is becoming more and more seriously. The internal reason is that the relationship among the core factors of scientization, democratization, efficientization of agricultural public service decision-making broke down. The external reason is that the agricultural public service decision-making lacked conditions and path ensuring optimization. Thus, the paper constructs two overall relationship models to analyze how to improve agricultural public service decision-making. The first model consists of such core variables as scientization, democratization, efficientization, while the second model consists of such core variables as capacity building, social learning and agricultural public service decision-making optimization. The purpose of this paper is to provide analytical framework, scientific approach, countermeasures and suggestions to facilitate the resolution of the dilemma.The paper is organized as follows, In the first chapter, the background, purpose, research contents and research methods are introduced, the main concepts are defined and the innovations of the paper are illustrated, In the second chapter, theories and literatures are reviewed and analyzed, for example, the theoretical and practical development of public service, social learning, capacity building, governance and so on are analyzed, laying a good foundation for further analysis, In the third chapter, recent trends of public service decision-making and the dilemmas agricultural public service decision-making in China faced are analyzed. And based on the analysis, the research questions that how to optimize agricultural public service decision-making in China from the holistic approach and systematic approach are proposed, In the forth chapter, the theoretical framework that consists of three sub-models is formed using the core variables of capacity building, social learning and agricultural public service decision-making optimization. In the fifth chapter, research methodology is introduced. In the sixth chapter, the mechanism and effects of agricultural public service decision-making optimization from the holistic approach and systematic approach are analyzed, and the moderating effect that capacity building has on the relationship between social learning and agricultural public service decision-making optimization is analyzed too. In the seventh chapter, conclusions, solutions and future research are proposed. The conclusions are as the followings. Firstly, agricultural public service decision-making optimization depends on the advancement of agricultural public service decision-making from the holistic approach and systematic approach. On the whole, the key elements of agricultural public service decision-making optimization consist of goal system, conditions and path ensuring optimization. Thus, the issue of agricultural public service decision-making optimization should be considered as a whole, and only by advancing the optimization of structure and the systematic effects of key elements from the systematic approach, the dilemma can be solved. Secondly, the structure of the goal system consists of scientization, democratization and efficientization, they form an organic unity, and the fracture of any relationship chain have negative impact on agricultural public service decision-making optimization; secondly, there is a significant covariate effects between scientization and democratization; thirdly, scientization and democratization play a significant role in promoting the agricultural public service decision-making optimization. Thirdly, agricultural public service decision-making optimization from the systematic approach relies on the advancement of systematic effects that capacity building and social learning have on agricultural public service optimization. In detail, promoting the positive effect which capacity building and social learning have on agricultural public service decision-making optimization can significantly improve the optimization level of agricultural public service decision-making system; social learning plays a partial mediating role in the interaction mechanism between capacity building and agricultural public service decision-making optimization. Fourthly, there is moderating effect that capacity building has on the relationship between social learning and agricultural public service decision-making optimization. However, the moderating effect and initial capacity endowment are closely related, that is to say, because of the differences of the initial capacity endowment of the multi-participants, the moderating effect is characterized by gradient and multistage.The innovations of the paper are as the followings. Firstly, the research applies the assertion that democracy and efficiency are partners to the research field of agricultural public service decision-making in the way of a combination of qualitative and quantitative research, and agricultural public service decision-making model from the holistic approach is formed. The research is a localized and contextulized exploration of foreign forward theories, and plays a groundbreaking role in the exploration of how to optimize the relationship between democracy and efficiency in the field of agricultural public service decision-making. Secondly, the mechanism and effect is analyzed by constructing the overall relationship model consisting of variables of capacity building, social learning and agricultural public service decision-making optimization from the systematic approach. Thirdly, scale items that measure the latent variables are developed on the basis of theoretical research in depth, and the models are confirmed using data from large samples. Additionally, some innovative conclusions are proposed.