There is already an intrinsic connection between the manufacturing industry and the logistics industry. However, with the manufacture of lecturers at the Dongguan Vocational and Technical College, the main research directions are logistics supply chain management and transportation economic management. The task of transforming and upgrading the industry and transforming the mode of economic growth has become increasingly urgent. The joint development of the manufacturing industry and the logistics industry has continued to attract the attention of the theoretical community and the industry. According to the domestic and international data, at present, the correlation analysis of the industry and the logistics industry in China is basically carried out from a wide field and a high level. The research on specific regional specific industries is almost blank. In recent years, the main research results of the joint development of the two industries, the proposed development model and countermeasures are somewhat different from the actual regions and industries. Yongkang City, Zhejiang Province, as a strong city in the manufacturing industry, its characteristic hardware industry is the most important promoter of texts and losses in economic development. So far, only a few scholars have analyzed and researched the logistics industry problems in the development of Yongkang hardware manufacturing industry. However, this aspect of research is very important for the development of Yongkang hardware manufacturing industry and the overall level of Yongkang City, and it is urgent to solve. The grey relational analysis is mainly based on the analysis of the development and changes of the situation. The implication is the quantitative analysis of the dynamic development process of the system. This article obtains data based on survey statistics and conforms to the gray-associated data characteristics, so these data are gray data. There are many factors affecting the linkage between the logistics industry and the manufacturing industry. It is difficult to fully understand and belong to the gray system. The relationship between the logistics industry and the manufacturing industry is interactive and dynamic. Therefore, the dynamic development process of the two industries can be quantitatively analyzed. Based on the above reasons, this paper chooses the grey relational analysis to analyze the linkage between Yongkang hardware industry and logistics industry with its specific significance and value. 1 Gray Correlation Analysis Method and Analysis Steps Introduction 1.1 Gray Correlation Theory Summary The gray correlation analysis method is based on the similar or different trend between various factors (ie, the gray correlation degree), as a measure of the degree of correlation between various factors. method. Simply put, the gray correlation analysis reflects that in the process of system development, if the trend of the two factors changes, or the degree of synchronization changes is high, it means that the relationship between the two is relatively high; Then the association is small. Grey correlation is a measure of the degree of association that affects factors between two systems, varying over time, space, or different objects, and is called gray correlation. 1.2 Gray correlation analysis steps Introduce the gray system theory for the gray correlation analysis of each subsystem, that is, through a series of methods to seek the numerical relationship between the subsystems (or factors) in the system. Therefore, in the context of a system development and change, the grey correlation analysis provides a quantitative measure, which is very suitable for the analysis of the dynamic history of the system. The following specific steps for the gray system association analysis are described as follows: Determine the series that reflect the behavioral characteristics of the system and the comparison series that affect the behavior of the system. A sequence is a sequence of data that reflects the characteristics of a system's behavior; a sequence of comparisons is a sequence of data that affects the behavior of the system. The logarithmic and comparison sequences are dimensionless. Due to the different physical meanings of various factors in the system, the dimensions of the data are not the same, which is inconvenient to compare, or it is difficult to obtain correct and parsed data processing when comparing. The calculation of the gray correlation coefficient between the logarithmic column and the comparison sequence. The degree of association is essentially the degree of difference in geometry between curves. Therefore, the difference between the curves can be used as a measure of the degree of association. For a sequence, there are no comparison columns. X, the correlation coefficient of each comparison sequence and sequence at each moment (ie, each point in the curve) can be calculated by the following formula: where p is the resolution coefficient, p > 0, usually 0.5 The minimum difference of the second level is recorded as A (mm); the maximum difference between Wentong and the two levels is recorded as A(max), which is the value of each point on the curve and the X. The absolute difference is recorded as A. (A). Therefore, the correlation coefficient can also be reduced to the formula: the degree of association r,. evaluate. Because the correlation coefficient is a comparison of the number of columns and therefore its number is more than one, and the information is too scattered to facilitate the overall comparison. Therefore, it is necessary to concentrate the correlation coefficients of each time (ie, each point in the curve) into one value, that is, to obtain the average value thereof, as the quantity representation of the degree of association between the series and the series, and the correlation degree r, the formula is as follows: Sort by degree. The degree of association between factors is mainly described by the order of relevance, not just the degree of relevance. The correlation degree of the N subsequences to the same parent sequence is arranged in order of magnitude, and the correlation sequence is formed, which is recorded as x. It reflects the "good or bad relationship" of each subsequence for the parent sequence. If >~ X, for the same mother sequence X, better than x, denoted by x, > x. The results are analyzed. According to the correlation degree of each comparison sequence and sequence, the degree of correlation between the respective variables and the dependent variable can be evaluated. Weak, and sort the relationship between the respective variables and the dependent variables to find the main factors and secondary factors that affect the change of the dependent variables. 2 Gray correlation analysis of the linkage between the two industries 2.1 Research on the relationship between the manufacturing industry and the logistics industry in Yongkang City As a region with particularly obvious industrial clusters, the scope of industry coverage is relatively narrow, mainly based on the hardware manufacturing industry. Yongkang's manufacturing statistics are relatively complete. According to Yongkang Data Analysis Network, Yongkang Hardware Manufacturing Co., Ltd. accounts for about 90% of Yongkang's secondary industry. Therefore, after the proportion of Yongkang's secondary industry's GDP is quantified, it can be replaced by manufacturing. Total value. The gross value of the logistics industry is replaced by the total value of transportation, warehousing and postal industry production. Through Excel, we can analyze the changes in the production value of Yongkang manufacturing industry and the production value of modern logistics industry, as shown. Obviously, the growth trend of manufacturing production value and modern logistics industry production value is increasing, the average annual growth rate of manufacturing industry is higher, and the production value of modern logistics industry is less change. The development trend of the logistics industry in Yongkang is generally growing, and the growth is slow. Compared with the development of the manufacturing industry, it is obviously lower and far from the difference. The development of the manufacturing industry is at a relatively high level of development, basically in a state of steady growth. According to the linkage development of the two industries, Yongkang modern logistics industry has a huge development space. With the basic stability of all links in the manufacturing industry, the reduction of logistics link costs is an important link to enhance the competitiveness of manufacturing enterprises. Then, by analyzing the changes in the production value of Yongkang manufacturing industry and the production value of modern logistics industry, and analyzing the relationship between Yongkang manufacturing industry and modern logistics industry GDP growth rate, Yongkang manufacturing industry and modern logistics industry GDP The trend of growth rate is as shown. It can be seen that there was a clear peak in 2007. After 2008, there was a significant decline. In 2009, there was a trough, and then the trend slowly rose and the economy improved. The reason is that with the improvement and maturity of China's openness and marketization, China's manufacturing industry and modern logistics industry have entered a stage of rapid development. Since China joined the World Trade Organization in 2001, China's modern logistics industry and manufacturing industry have ushered in a better development environment and rapid development. In 2007, Yongkang's economy developed rapidly and the manufacturing industry created a peak. In 2007, before the 2008 Olympic Games, China’s economic development was full of momentum and reached another new peak. In 2008, the global financial crisis triggered by the US subprime crisis caused the world economy to go into a trough. China's economic situation has also followed suit, with great impact. The manufacturing and modern logistics industries have seen a significant decline. Yongkang City is an export active. The region and the economy have also been significantly affected. At the end of 2009, with the recovery of the world economy, Yongkang's economy has also improved, which has ushered in a good opportunity for the development of Yongkang economy and created a new good environment for the development of manufacturing and logistics. At the same time, it can be clearly seen that the growth rate of the growth rate of the modern logistics industry and the growth rate of the manufacturing industry are basically maintained in the same year. The trends of the two are more consistent and the changes are consistent. The growth rate of the modern logistics industry has changed with the growth of the manufacturing industry, and it is basically on the rise. On the contrary, the growth rate of the modern logistics industry is declining. From this, there is a strong positive correlation between the two. 2.2 Analysis of linkage coordination between hardware manufacturing industry and modern logistics industry based on grey correlation model In order to analyze the correlation between Yongkang modern logistics industry and hardware manufacturing industry, through reviewing various sums and the summary of the development status of Yongkang two industries, Hardware manufacturing system and logistics industry system, as shown in Table 1. Five influencing factors of hardware manufacturing system (regional GDP, secondary industry added value, industrial enterprises, industrial output value, agricultural, forestry, animal husbandry and fishery output value) And the five influencing factors of the logistics industry system (transport completed freight volume, cargo turnover, transportation, tertiary industry added value, warehousing and postal industry added value, passenger traffic) were analyzed by gray correlation degree. According to the actual situation of Yongkang two industries and the scientific, comprehensive, independent, measurable and other selection indicators of the indicator system, the index system of coordination degree is determined. The original data is shown in Table 1, and the data is from Yongkang Statistical Information Network. The specific connotations of each of the two systems are as follows: 2.2.1 Hardware Manufacturing System Gross Regional Product: refers to the final result of production activities of all resident units in the region in a certain period of time; second industry added value: industry (including mining) Output, manufacturing, electricity, gas and water production and supply) and the growth rate of the construction industry in the cycle (generally in years) compared to the previous liquidation cycle; agricultural, forestry, animal husbandry and fishery output value: refers to a certain period of time, The sum of the value generated by the production of goods or services provided by agriculture, forestry, animal husbandry, fishery, agriculture, forestry, animal husbandry and fishery services. 2.2.2 Logistics Industry System Transportation Completed Freight Volume: refers to the quantity of actual shipments of the transportation enterprise in a certain period of time; the cargo turnover volume refers to the weight and transportation distance of the transportation process actually completed by various transportation means within a certain period of time. The combined volume of goods (ton kilometers) is calculated; the added value of transportation, warehousing and postal services: refers to the growth of transportation, warehousing and postal services in a specific cycle settlement period compared with the same period of last year; the added value of the tertiary industry: In addition to the first and second industries, the growth value of the industry in a certain period is higher than that of the previous liquidation period; in order to eliminate the dimensional relationship between the original data of the indicators, Wentong and the original data table of the output table 1 evaluation evaluation index 2011 2010 Hardware Manufacturing System Gross Regional Product Value M 355.27307.43 Second industry added value "B-2251.199199.54 industrial enterprises / home (mainly over 20 million yuan) 4321012 industrial output value / million 207.15183 .59 Agriculture, Forestry, Animal Husbandry and Deputy Fishery Output Value M B. 12.1210.46 is the logistics industry system transportation completed freight volume / 10,000 t2 6851765 cargo turnover M B. t.km-152.3721.58 Transportation, warehousing and postal industry added value M B. 9.085.13 Third industry added value M B. 120.99100.41 Passenger traffic / 10,000 people 4 Before the gray correlation analysis, the data is standardized. In the analysis of the analysis, there is a good software for the calculation of the gray model. The gray modeling software of the Gray System Research Institute of Nanjing University of Aeronautics and Astronautics, created by Mr. Deng Julong, is an excellent original theory in China. The promotion of the grey theory also reduces the computational burden. Using the gray model and software standardization to process the data, the data is comparable. Only by standardizing the same data processing standards and standards, the only one can be comparable. Then it is standardized. According to the data of Yongkang Statistical Information Network (Table 1), the corresponding data of the indicators are obtained, and then the corresponding degree is calculated by GreyModelingSoftware CHSSPSS software, as shown in Table 2. According to the coordination evaluation standard, it can be seen from Table 2 that the individual indicators are between Relevance, where: the minimum is 0.6667, the maximum is 0.9681, and the coordination is mostly in the middle. Strong and strong three ranges. On the basis of the correlation matrix, calculate the correlation between the manufacturing index and the logistics industry through the calculation of the average of the rows; by calculating the average column, you can calculate the indicators for the logistics industry and the manufacturing industry. The degree of association can be seen from Table 2, the correlation degree between the manufacturing and logistics industry indicators is relatively uniform, the correlation coefficient is between 0.824 30.8432, and the coordination effect is strong, among which the industrial output value is related to the logistics industry. The strongest is 0.843 2. The correlation coefficient between the various indicators of the manufacturing industry and the logistics industry is between 0.66670.9130, the intensity of the correlation is uneven, and the coordination effect between freight volume and manufacturing is the strongest, at 0.9130. The manufacturing industry and the logistics industry are closely related and inseparable. Strengthening the manufacturing industry needs to develop the logistics industry, and the logistics industry also depends on the development of the manufacturing industry. Promoting the organic integration of the two industries and coordinating interactive development is not only an important way to adjust the industrial structure and transform the economic growth mode, but also the common aspiration pursued by manufacturing enterprises and logistics enterprises. From the above, the growth of manufacturing and logistics industry is positively correlated. The coordination of the two industries is relatively close, but the degree of coordination is mostly around 0.82, which is a relatively coordinated state. Yongkang City has created a relatively suitable and coordinated atmosphere for the joint development of manufacturing and logistics industry through the cooperation and joint efforts of manufacturing, logistics and government. It has a strong impetus to promote the industrial competitiveness of Yongkang City.
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Grey Correlation Analysis of the Linkage between Hardware Manufacturing Industry and Logistics Industry in Yongkang City