摘要：
With the rapid development of China's economy, the agricultural industry chain has a new mode of operation. The rise of big data technology can collect the relevant information of the agricultural industry chain in all aspects more rapidly, accurately and comprehensively, so that the agricultural production, logistics and information flow can be unified, so as to realize the optimization of the resource structure of the industrial chain, and the operation efficiency is higher. In this paper, the analysis method combined with big data was used to construct the industrial chain of ecological agriculture. The ecological agriculture industry in Wuwei was regarded as the specific research object, and a large amount of empirical data was collected by means of consulting literatures and field surveys. The input analysis and output analysis of the agricultural production in Wuwei were carried out and the original industrial chain model was evaluated, and the deficiency of the influence factors was improved. The agricultural industry chain was the developmental situation of a dynamic organization, which had important methodological significances. This paper attempted to put forward some suggestions for the rational development of the agricultural industry chain.
摘要：
With the continuous development of economy and the integration of the Internet information network, the network language is playing an increasingly important role in people's lives. Since the economists put forward the linguistic economics in 1965, the economic value of language has become the consensus of the people of all countries, and now it is a new and hot topic to study and analyze the English network language. In this paper, a system for evaluating the economic value of English network language was designed. Analytic hierarchy process (AHP) and qualitative methods were used, and the economic value of network language was quantified.
关键词：
Swine;Agricultural workers;Animal welfare;Agriculture;Pig models;Welfare (social security);Veterinary epidemiology;Agricultural production
摘要：
Few studies of the pig production efficiency are from the perspective of animal welfare. Therefore, this study conducted a comprehensive evaluation of pig welfare levels based on survey data from 773 pig farmers from 23 counties in the Chinese provinces of Hunan, Zhejiang, Guangdong, Guizhou, and Shanxi. This study used the Delphi method, Analytic Hierarchy Process (AHP), and Data Envelopment Analysis (DEA)-Tobit regression model to analyze farmers’ pig production efficiency and its influencing factors. This paper found that most farmers’ pig production efficiency is low, and the DEA is invalid. Only 2.9% of pig farmers’ who breed pigs are at the optimal level in terms of welfare, and their production efficiency is relatively high. In contrast, 49.34% of the farmers are at the medium welfare level, and compared with the farmers at the optimal welfare level, these farmers’ pig production efficiency is low. Additionally, the farmers’ age, gender, and number of years of experience with pig breeding have a significant effect. Furthermore, the scale of pig breeding and feeding type, the agriculture facilities for the central treatment of waste in local areas, and the availability of local agricultural science and technology personnel have a considerable influence on pig production efficiency.
