Abstract. Economic statistics are frequently produced at an administrative level such as the subnational division. However, these measures may lack sufficient local variation for effective analysis of economic development patterns and exposure to natural hazards. Agricultural gross domestic product (GDP) is a critical indicator measurement primary sector, on which more than 2.5 billion people d...

With the development of global agricultural industry, competition among product supply chain suppliers has become increasingly fierce. In this context, it is great significance to explore selection suppliers. Based on analysis characteristics and factors affecting suppliers, paper proposes a supplier framework for chain, which includes four stages: identification criteria, evaluation performanc...

This report reviews the concept and measurement of agricultural productivity with special references to USDA multifactor productivity statistics. An American Agricultural Economics Association task force has examined the sources and procedures used in constructing the existing statistics and recommends that USDA: (1) place greater emphasis on improving methodology; (2) move further toward a com...

Demand prediction is a hot research field in markets management, especially for fresh agricultural products prediction based on supply chain management. Based on BP neural network, a new demand prediction algorithm for fresh agricultural products is presented in the paper. First, the structure and data indicators of BP neural network algorithm are redesigned and the training function is selecte...

This paper summarizes the current main methods of heterogeneous data conversion, focuses on the necessity of establishing the data conversion specification for China’s agricultural product quantity safety, as well as specifies the main designs and solutions for data conversion structure, data conversion process and data conversion format in research. Establishing a data conversion specification...