Research on the Impact of Media on Rural Industries based on Big Data
Max Lowenthal Hall - 1115
In modern China, the development between urban and rural areas is quite different and inequivalent. We aim to help rural areas in China to gain better development and we want to find factors that can impact the rural industries. At the same time, we have observed a phenomenon that when local media continue to report on a certain industry, especially agriculture, individual consumers who are different from company buyers will purchase products through the Internet based on the reports. Traditionally, many rural industries have relied heavily on wholesalers or companies for collective purchases, but during the epidemic, we have seen that the media can help rural industries overcome the geographical disadvantages and restrictions caused by covid, attract individual consumers to buy, and promote the better development of the industries. As Chinese, we are glad to investigate the reasons behind the poverty of China and have resolved to try to overcome them in the future. At present, the "Three Rural Issues" are the most outstanding problems, agriculture with low technological skills, rural areas with ambiguous ownership and mean staff, farmers with low knowledge and moral standards. We use big data technology to collect media reports and apply the agenda-setting theory and second stakeholder theory as our bases to further investigate the areas of relationship between media and the development of rural areas in China.
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