BRITISH FOOD JOURNAL,2017年119(12):2822-2836 ISSN：0007-070X
[Wu, Linhai; Qiu, Guangqian; Lu, Jiao] , School of Business, Institute for Food Safety Risk Management and Research and Food Safety Research Base of Jiangsu Province, Jiangnan University, Wuxi, China;[Zhang, Minghua] , School of Business, Nanjing Tech University, Nanjing, China;[Wen, Xiaowei] , College of Economic and Management, Hunan Agricultural University, Changsha, China;, School of Business, Institute for Food Safety Risk Management and Research and Food Safety Research Base of Jiangsu Province, Jiangnan University, Wuxi, China;, School of Business, Nanjing Tech University, Nanjing, China
Quality and safety;Allocation of responsibility;Best-worst scaling;Player;Pork supply chain
Purpose - The purpose of this paper is to investigate the responsibility that should be taken by different pork supply chain participants to ensure pork quality and safety, with the aim of providing some guidance for strengthening the supervision of pork quality and safety. Design/methodology/approach - The pig farmer survey and the pork consumer survey were conducted in Funing County, Jiangsu Province, using the best-worst scaling (BWS) and a mixed logit model. Findings - The results showed that the designation of responsibility for ensuring pork quality and safety was of, in descending order, feed producers and suppliers, backyard farmers and farms of designated size, pork processing workshops and companies of and above designated size, slaughterhouses, supermarkets, farmer's markets, pig transporters, and consumers. Both pig farmers and pork consumers believed that those involved in the initial pork supply chain should take greater responsibility for pork quality and safety. Originality/value - Allocation of responsibilities across the entire pork industry chain was investigated from the perspective of pig farmers and pork consumers using the BWS and a mixed logit model. The results of this study might explain the unique problems that occur in pork supply chain management in large developing countries like China.
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.
AGRO FOOD INDUSTRY HI-TECH,2017年28(3):2015-2020 ISSN：1722-6996
[Fang, Li] College English Department, Changsha University, Changsha, Hunan, 410022, China;[Fang, Li] College of Economics, Hunan Agricultural University, Changsha, Hunan, 410128, China
[Fang, Li] Changsha Univ, Coll English Dept, Changsha 410022, Hunan, Peoples R China.;[Fang, Li] Hunan Agr Univ, Coll Econ, Changsha 410128, Hunan, Peoples R China.
Analytic hierarchy process (ahp) - Continuous development - Economic values - Hot topics - Internet information - Network language - Qualitative method
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.