Food processing industry as a follow-processing industry of agricultural products,is a measure of the industrialization of agriculture development, farmers’ income levelis very important criteria. Development of the food processing industry can be furtherprocessed by a single agricultural and extraction, processing into food for differentconsumer groups for people to enjoy. You can expand the market demand byprocessing agricultural products, improve the added value of primary products,increase farmers’ income, but also effectively promote the development of newagriculture. Based on the food processing industry in Shandong Province, on the basisof in-depth study on the relationship between the food processing industry inShandong Province, Shandong Province and economic growth between the in-depthanalysis, and established a model for analysis. Specific content includes the followingaspects: first, through the food processing industry in Shandong Province-depthinvestigation and evidence collection, and the food processing industry key indicatorsShandong Province location quotient measure, confirmed that the level ofdevelopment of the food processing industry in Shandong Province, leading thecountry, and agglomeration already exists, but in the development process, there aresome problems, fatal problem is that the food processing industry in ShandongProvince in the lack of industrial agglomeration of fine processing of agriculturalproducts. Second-depth study of the development of this paper to the food processingindustry in Shandong Province, on the same index of the indicators of the foodprocessing industry in comparison to explore, in order to avoid multicollinearity,using factor analysis of multiple variables were extracted factor binding factoranalysis The results will be analyzed using principal component variables integratedinto two main components, in order to eliminate the heteroscedasticity of the data on the number of treatment. Time series data collected in-depth analysis by descriptivestatistics and multivariate statistical methods: cointegration test results show that thescale factor coefficient is negative, ie the expansion of the scale of economic growthwould have a negative impact; during a single whole After the establishment ofco-integration test and VAR model VAR, and impulse response analysis in-depthstudy of the dynamic relationship between variables. The results confirmed thecointegration test, Shandong Province, the food processing industry clusterdevelopment process scale industrial agglomeration in the early positive effect oneconomic growth, but in the long term this effect is negative. Shandong Province isnot blind expansion of production scale in the development of the food processingindustry agglomeration, but to increase investment in science, research anddevelopment of deep processing of food, the food processing industry to extend theindustrial chain. Shandong’s economic growth for the food processing industry willgather long-term stable role. |